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  • Understanding China’s AI + Manufacturing Roadmap: Implications on FIEs

    Understanding China’s AI + Manufacturing Roadmap: Implications on FIEs

    China’s AI + Manufacturing initiative is transforming production across sectors, enabling flexible, data-driven, and high-precision operations, with significant opportunities for both large firms and SMEs. Businesses that adopt AI, engage in local ecosystems, and leverage partnerships can gain efficiency, innovation, and competitive advantage in China’s evolving industrial landscape.


    China is accelerating its integration of artificial intelligence (AI) into manufacturing as part of a sweeping national strategy to reshape its industrial base and climb the global value chain. The country’s AI industry, already valued at over US$70 billion with more than 4,300 companies, is expected to expand its core value to US$140 billion and boost related sectors to US$1.4 trillion by 2030.

    Central government initiatives, such as the New Generation AI Development Plan and the push to cultivate “new quality productive forces” (新质生产力), have placed smart manufacturing at the forefront of policy priorities, supported by massive investments in infrastructure, data, and talent.

    At the local level, Shanghai’s recently unveiled three-year “AI + Manufacturing” implementation plan offers a glimpse into how these national ambitions are being translated into actionable roadmaps.

    The plan calls for accelerating the deployment of AI-powered robotics, digital twins, and intelligent quality inspection systems in industries such as new energy vehicles, aerospace, and biomedicine. Far from an isolated case, it reflects a broader transformation underway across China’s manufacturing hubs, where AI is expected to drive production optimization, predictive maintenance, and flexible, demand-driven factory models.

    For foreign companies, it signals an evolving landscape where AI-powered industrial ecosystems will increasingly shape market access, competition, and partnership strategies.

    Explore vital economic, geographic, and regulatory insights for business investors, managers, or expats to navigate China’s business landscape. Our Online Business Guides offer explainer articles, news, useful tools, and videos from on-the-ground advisors who contribute to the Doing Business in China knowledge.
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    What is  China’s “AI + Manufacturing” initiative?

    China’s AI + Manufacturing initiative is a strategic effort to integrate AI into the country’s industrial base, transforming traditional factories into intelligent, flexible, and highly efficient production systems. It represents a convergence of digital technology, industrial modernization, and national economic planning, designed to move Chinese manufacturing up the global value chain.

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    At the heart of this strategy is the concept of dual empowerment: AI technologies enhance manufacturing productivity, precision, and innovation, while the manufacturing sector provides rich, real-world data and complex operational scenarios to refine AI capabilities. By embedding intelligence across production lines, supply chains, and R&D processes, China aims to create a new generation of “smart factories” capable of high-quality, customized, and resilient industrial output.

    Key objectives include accelerating the adoption of AI-powered robotics, predictive maintenance, quality inspection, digital twins, and generative AI for design and development, particularly in high-value sectors such as automotive, aerospace, electronics, biomedicine, and green manufacturing.

    This approach positions AI not just as a tool for efficiency but as a core driver of industrial innovation, competitiveness, and technological self-reliance.

    Core components of AI + Manufacturing
    China’s AI + Manufacturing is not merely automation. It integrates multiple AI technologies throughout industrial operations:

    • Smart robotics: AI-driven robots perform repetitive, hazardous, or precision tasks in sectors like automotive, aerospace, and electronics. Initiatives such as Shanghai’s “robots with licenses” program ensure that robots meet safety and reliability standards before deployment.
    • Predictive maintenance and analytics: AI analyzes sensor data from equipment to predict failures and optimize production schedules, reducing downtime and resource waste.
    • Quality control and computer vision: Intelligent inspection systems automatically detect defects, enhancing product quality and reducing human error.
    • Digital twins and simulation: Virtual replicas of production lines enable manufacturers to optimize workflows, simulate new processes, and train AI models without interrupting real-world operations.
    • Generative AI in design and R&D: AI accelerates product design, testing, and innovation, enabling rapid prototyping and customization.

    China’s roadmap for AI+Manufacturing development

    China has adopted a three-tiered strategy for AI+Manufacturing development, combining a strategic roadmap, adaptive regulations, and multilevel implementation to ensure the technology supports long-term economic and industrial goals.

    Made in China 2025, released in 2015, first positioned intelligent manufacturing as the key direction for modernizing the industrial base, encouraging the fusion of emerging technologies such as AI with traditional manufacturing. This was followed by the New Generation AI Development Plan in 2017, which elevated AI to the level of a national strategy, laying out a three-step roadmap to 2030 and emphasizing applications in critical areas including intelligent manufacturing.

    During the 14th Five-Year Plan period, two further blueprints consolidated this direction: the 14th Five-Year Plan for Intelligent Manufacturing Development (2021), which aims to accelerate the adoption of AI, big data, and 5G across manufacturing processes to build a modernized smart manufacturing system; and the 14th Five-Year Plan for Digital Economy Development (2022), which stresses the deep integration of digital technology and the real economy, promoting applications such as smart factories, smart supply chains, and industrial AI.

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    In addition, complementary regulations, such as the Interim Measures for Generative AI Services and pilot programs for intelligent connected vehicles, provide an enabling regulatory framework that supports innovation and lays the groundwork for AI’s application in industrial contexts. Beyond long-term strategic guidance, the Chinese government has rolled out concrete initiatives to accelerate the deployment of AI in manufacturing. The AI+ Action initiative, launched in 2024, explicitly identifies “AI+ Manufacturing” as a key priority.  It aims to harness cutting-edge tools such as large language models, machine vision, predictive maintenance systems, and intelligent control technologies to boost efficiency, quality, and resilience in industrial operations.

    Meanwhile, policies around the industrial internet, led by the Ministry of Industry and Information Technology (MIIT), are promoting the development of platforms that help enterprises migrate to the cloud, make better use of data, and apply AI-driven insights to production and supply chain decisions. These efforts are designed to strengthen the digital infrastructure of China’s industrial economy and ensure that manufacturers of all sizes can access the benefits of AI.

    Most recently, on August 26, 2025, the State Council issued a critical new policy, Opinions on Deepening the Implementation of the ‘Artificial Intelligence+’ Initiative”, deepening earlier efforts with granular targets, broad sectoral scope, and robust infrastructure support Government of China. Key highlights of the 2025 directive include:

    • By 2027, AI integration across six key domains should exceed 70 percent in applications like next-generation smart terminals and intelligent agents.
    • By 2030, this should climb beyond 90 percent, establishing intelligent economy as a major growth driver.
    • By 2035, China aims to flourish as a fully intelligent economy and society
    China’s National-Level AI+Manufacturing Policy
    Category  Policy/Initiative  Date Key Focus
    National Strategies: Top-Level Design & Strategic Guidance Made in China 2025 2015 Positioned intelligent manufacturing as a core strategy, laying the groundwork for AI integration.
    New Generation AI Development Plan 2017 Elevated AI to a national-level strategy with a phased roadmap and emphasized its application in smart manufacturing.
    14th Five-Year Plan for Intelligent Manufacturing 2021 Pushed for high-end, smart, and green manufacturing; accelerated integration of AI, big data, and 5G.
    14th Five-Year Plan for Digital Economy 2022 Promoted deep integration between digital technologies and the real economy, advancing smart factories, supply chains, and industrial AI.
    Supporting Regulations Ongoing Introduced regulatory frameworks like Interim Measures for Generative AI Services and pilot rules for intelligent connected vehicles, nurturing an innovation-friendly environment.
    Concrete Action Plans “AI+ Action” Initiative 2024 Made AI+manufacturing a priority; deployed large models, machine vision, predictive maintenance, and smart control to boost efficiency and quality.
    Industrial Internet Policies Ongoing Led by MIIT, these policies support enterprise digitalization, cloud adoption, and AI-driven production decision-making.
    “ AI+ Initiative 2025” 2025–2035 Introduces ambitious penetration targets; defines six action areas; establishes eight foundational support capabilities.

    Regional policy: localized strategies and pilot-first experimentation

    Under the guidance of national strategies, China’s local governments are advancing “AI + Manufacturing” in ways tailored to their industrial foundations and resource strengths. This approach has given rise to regional demonstration clusters, policy-driven “AI + Manufacturing highlands”, that not only align with national objectives but also showcase local best practices:

    • Yangtze River Delta (Shanghai, Jiangsu, Zhejiang, Anhui): Shanghai is positioning itself as a benchmark city for intelligent manufacturing, developing an “industrial brain” powered by AI, building clusters of smart factories, and promoting AI applications in pillar industries such as automotive, integrated circuits, and biopharmaceuticals. Neighboring provinces Jiangsu and Zhejiang, with strong traditional manufacturing bases in textiles, home appliances, and machinery, focus on using AI for quality inspection, predictive maintenance, and intelligent scheduling—accelerating the smart transformation of established sectors.
    • Guangdong-Hong Kong-Macao Greater Bay Area (GBA): Shenzhen, already China’s leading innovation hub, is pushing the boundaries of industrial AI, robotics, and intelligent hardware, supported by a vibrant ecosystem of startups and global manufacturing giants such as Huawei, DJI, and Foxconn. Guangzhou and Dongguan, both traditional manufacturing powerhouses, are steering industries like electronics, equipment, and molds toward smart, flexible production, cultivating intelligent industrial clusters.
    • Beijing-Tianjin-Hebei region: Beijing leverages its research capacity and tech talent to drive R&D in core AI technologies, including algorithms, industrial software, and large models, while building smart manufacturing demonstration zones in areas such as Yizhuang. Tianjin and Hebei, benefiting from Beijing’s technology spillover, are applying AI to upgrade heavy industry and equipment manufacturing, strengthening regional industrial coordination.
    • Central and Western China (Chongqing, Chengdu, Wuhan, Xi’an): Chongqing and Chengdu are focusing on AI applications in automotive and electronics, establishing pilot bases for intelligent connected vehicles and smart factories. Wuhan and Xi’an, home to leading universities and research institutes, are advancing integration in fields such as industrial AI, robotics, and high-precision manufacturing—making these inland cities important nodes in China’s intelligent manufacturing landscape.

    Beyond regional focus areas, local governments are also investing heavily in pilot-first experimentation and financial support mechanisms. Many provinces and municipalities have launched special funds and subsidy programs to help enterprises implement AI-enabled upgrades, build smart factories, and establish industrial internet platforms.

    Cities like Shanghai, Shenzhen, and Beijing have been designated as AI innovation pilot zones, where new applications are tested in industrial contexts before wider rollout. Additionally, a growing number of regions are running intelligent manufacturing pilot and demonstration projects, as well as competitions to recognize “smart factories” and “digital workshops.” These showcase examples serve as industry benchmarks, accelerating the spread of best practices across China’s manufacturing sector.

    Shanghai as a model

    Shanghai’s Implementation Plan for Accelerating the Development of AI + Manufacturing (hereinafter, the “plan”), released in August 2025, reflects the city’s commitment to translating China’s national AI and industrial strategies into concrete action. Also known as the “Molding Shanghai · AI + Manufacturing” initiative, the plan aims to position AI at the core of industrial transformation, fostering what policymakers describe as new quality productive forces. By aligning with national directives, Shanghai seeks to serve as a model for smart manufacturing adoption across China.

    Three-year roadmap and key objectives

    The plan sets out a three-year horizon from 2025 to 2027, establishing clear targets for intelligent manufacturing adoption. Shanghai intends to integrate AI solutions across 3,000 manufacturing enterprises, develop ten industry benchmark models, create one hundred benchmark smart products, and establish approximately ten model “AI + Manufacturing” factories.

    In parallel, the city aims to cultivate a supporting ecosystem, including integrated and specialized service providers, to facilitate sustainable growth in intelligent manufacturing.

    Focus on robotics and high-value sectors

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    Industrial robotics is a central component of the plan, particularly through the “robots with licenses” initiative, which promotes certified deployment in high-risk, repetitive, or hazardous tasks. Priority sectors include biomedicine, aerospace, new energy vehicles, precision manufacturing, electronics, integrated circuits, shipbuilding, advanced materials, and steel.

    The plan emphasizes scalable robotics deployment across production lines, including human-machine collaboration units for complex manufacturing processes.

    Smart products and end-user innovation

    Beyond industrial applications, the initiative encourages partnerships between AI developers and consumer terminal manufacturers to advance end products such as AI computers, smartphones, and wearable devices.

    By enabling on-device AI model deployment and cloud-end integration, Shanghai seeks to foster industrial clusters around smart consumer electronics and enhance the city’s competitive edge in technology-driven markets.

    Challenges and implementation considerations

    While ambitious, the plan acknowledges several hurdles. Technical integration requires standardization of industrial protocols, miniaturization of edge devices, and integration of multimodal data. Data governance and sharing remain critical, alongside the need for high-quality industrial corpora. Costs, particularly for SMEs, necessitate supportive policy and financial measures. Safety and reliability, especially in industrial models and humanoid robotics, are emphasized to ensure responsible adoption and long-term sustainability.

    All in all, Shanghai’s implementation plan not only demonstrates the feasibility of AI-driven manufacturing but also provides a template for replication across China.

    Complemented by policy initiatives in Beijing, Shenzhen, and Hangzhou, the city serves as a testing ground for large-scale AI integration, highlighting the centrality of intelligent manufacturing to China’s broader economic transformation.

    Implications for businesses

    China’s AI + Manufacturing initiative is reshaping industrial competition, innovation, and operations, offering both opportunities and challenges for domestic and foreign firms. For domestic manufacturers, AI integration enables unprecedented productivity gains, operational efficiency, and precision across production lines.

    By leveraging smart robotics, predictive maintenance, intelligent quality inspection, digital twins, and generative AI for design, companies can shift from rigid mass production to flexible, demand-driven manufacturing, meeting growing consumer demand for customized products.

    High-value sectors such as automotive, aerospace, electronics, biomedicine, and green manufacturing stand to benefit most, gaining competitive advantages through AI-enhanced innovation and optimized industrial workflows.

    For SMEs, the implications are particularly notable. While large corporations often lead AI adoption due to greater financial and technical resources, SMEs can leverage AI to compete through efficiency, specialization, and rapid innovation. AI-driven production optimization, intelligent quality control, and data analytics allow smaller manufacturers to reduce costs, enhance output quality, and respond quickly to market trends.

    Platforms like Haier’s COSMOPlat demonstrate how SMEs can participate in industrial AI ecosystems, connecting with larger industrial networks and ecological partners to access digital capabilities that were once the preserve of larger firms. Nevertheless, SMEs face challenges related to the high upfront costs of AI deployment, technical integration, and data governance, which require supportive policies, financial incentives, and collaborative partnerships.

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    For foreign companies, China’s AI-powered industrial transformation presents both opportunities and strategic considerations. International firms can participate by supplying AI technologies, collaborating with domestic manufacturers, or leveraging smart factory deployments to access real-world industrial data. However, they must navigate regulatory frameworks, compliance requirements, and safety standards, particularly around industrial robotics, AI governance, and data handling. Understanding local ecosystems, aligning with certified robotics programs, and engaging with AI innovation clusters are essential for successful market entry and sustainable partnerships.

    In essence, businesses that embrace this transformation, by investing in AI capabilities, building strategic partnerships, and engaging with local industrial ecosystems, can achieve efficiency, scalability, and long-term competitiveness.

    About Us

    China Briefing is one of five regional Asia Briefing publications, supported by Dezan Shira & Associates. For a complimentary subscription to China Briefing’s content products, please click here.

    Dezan Shira & Associates assists foreign investors into China and has done so since 1992 through offices in Beijing, Tianjin, Dalian, Qingdao, Shanghai, Hangzhou, Ningbo, Suzhou, Guangzhou, Haikou, Zhongshan, Shenzhen, and Hong Kong. We also have offices in Vietnam, Indonesia, Singapore, United States, Germany, Italy, India, and Dubai (UAE) and partner firms assisting foreign investors in The Philippines, Malaysia, Thailand, Bangladesh, and Australia. For assistance in China, please contact the firm at china@dezshira.com or visit our website at www.dezshira.com.

     

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  • Coco Gauff opens up on serving struggles and the decision to hire a specialist coach

    Coco Gauff opens up on serving struggles and the decision to hire a specialist coach

    Coco Gauff is finding herself become obsessed with her serve.

    Ahead of the 2025 US Open, Gauff hired biomechanic specialist coach Gavin MacMillan, who previously helped now world no. 1 Aryna Sabalenka fix her serve. The 2023 Flushing Meadows champion began her campaign with a hard-fought win, defeating Ajla Tomljanović 6-4, 6-7 (2-7), 7-5 in two hours, 57 minutes.

    “The practice week was tough, because I was spending a lot of time on court last week literally serving until my shoulder was hurting,” Gauff said in her post-match press conference on Tuesday (26 August). “I feel like it’s [going] in the right direction and I think for me, it’s trying not to go back to old habits in those tighter moments.

    “I know when I did this, I was not going to serve the best. But I just felt like that I don’t want to waste any more time. If I could have worked with Gavin earlier, I would have, but obviously he was on the team of another player [Sabalenka]…hopefully this time next year, I’ll be serving much better.”

    Gauff’s service game against Tomljanović saw the 21-year-old commit 10 double faults, broken six times and recording a 61 per cent first serve percentage at Arthur Ashe Stadium. She did record a higher percentage of first serve points won (66 per cent vs 58 per cent) and second serve points won (44 per cent vs 42 per cent) than her Australian opponent.

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  • The central bank with the third largest reserves is swapping dollars for euros

    The central bank with the third largest reserves is swapping dollars for euros

    By Jules Rimmer

    The Swiss National Bank disclosed that 39% of its forex reserves were denominated in dollars at the end of June 2025.

    Global currency markets will pay close attention to the following statement Tuesday from the Swiss central bank’s vice-president, Antoine Martin: “With a balance sheet like the SNB’s, if we want to invest in a diversified way, we must allocate a significant portion of our dollar holdings to euros. We are doing this.”

    The 11% decline in the dollar index DXY from its peak this year has been driven in no small part by expectations that President Donald Trump’s introduction of radical and disruptive trade policies would trigger a diversification of central bank reserves away from the dollar but thus far, few of them have actually articulated as much.

    According to Swiss National Bank statistics, its foreign exchange reserves totaled more than $1 trillion at the end of June 2025 with dollars representing 39% of that sum and euros 37%. Any shift in the composition of the world’s third-largest reserve assets then, would be considered significant by foreign exchange traders.

    The euro (EURUSD) fell on Wednesday but has gained 12% vs. the dollar this year.

    In an interview with Agefi, Martin added that bitcoin (BTCUSD) does not yet reach its criteria for investment and that they saw no need to increase or decrease their holdings in gold (GC00) , currently estimated to be around be the seventh-biggest globally at around 1040 metric tons.

    At present Switzerland is dealing with the 39% tariffs imposed by the U.S. – the highest of any advanced economy – but despite the economic uncertainty this has created, the SNB is reluctant to cut interest rates.

    This is partly because with rates at zero, cutting them complicates things in the Swiss financial system and Martin pointed out that there must be a higher bar for taking rates into negative territory than there is for easing when rates are positive.

    It’s not as if zero interest rates have hindered the Swiss franc (CHFUSD) anyway. Year-to-date, it has appreciated more than 12% versus the dollar although Martin pointed out that this was largely owing to dollar weakness than franc strength. The currency strength makes exports even harder than the U.S. tariffs on their own but Martin is confident the Swiss economy can weather the impact.

    Unsurprisingly given the topicality of central bank independence in light of Lisa Cook’s travails, Martin was pressed for an opinion on the subject: “It is crucial that central banks remain technocratic institutions, in the best sense of the word, and independent,” was his response.

    -Jules Rimmer

    This content was created by MarketWatch, which is operated by Dow Jones & Co. MarketWatch is published independently from Dow Jones Newswires and The Wall Street Journal.

    (END) Dow Jones Newswires

    08-27-25 0712ET

    Copyright (c) 2025 Dow Jones & Company, Inc.

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  • Newborn planet discovery offers rare insight into planet formation

    Newborn planet discovery offers rare insight into planet formation

    Astronomers have unveiled a remarkable discovery that could transform our understanding of planet formation.

    An international research team, co-led by scientists at the University of Galway, has identified a giant planet in the earliest stages of development, orbiting a young star that closely resembles our own Sun in its infancy.

    The newly detected world, named WISPIT 2b, is estimated to be just five million years old – an astronomical blink of an eye compared to the 4.5-billion-year-old Earth.

    Based on its size and characteristics, researchers believe it is a gas giant roughly comparable to Jupiter.

    Unveiling WISPIT 2b with cutting-edge technology

    The discovery was made possible using the European Southern Observatory’s Very Large Telescope (VLT), located in Chile’s Atacama Desert.

    Considered one of the world’s most advanced astronomical facilities, the VLT allowed researchers to capture the glowing planet in near-infrared light. This wavelength revealed WISPIT 2b as it continues to radiate heat from its initial formation.

    Dr Christian Ginski, lecturer at the School of Natural Sciences, University of Galway and second author of the study, explained: “We used these really short snapshot observations of many young stars – only a few minutes per object – to determine if we could see a little dot of light next to them that is caused by a planet.

    “However, in the case of this star, we instead detected a completely unexpected and exceptionally beautiful multi-ringed dust disk.

    “When we saw this multi-ringed disk for the first time, we knew we had to try and see if we could detect a planet within it, so we quickly asked for follow-up observations.”

    The planet’s detection marks a milestone in astronomy. It is only the second confirmed discovery of a planet caught at such an early evolutionary stage around a young solar-type star.

    Even more striking, WISPIT 2b is the first clear example of a planet embedded within a multi-ringed disk of dust and gas, offering an unprecedented laboratory for studying how planets interact with their birth environment.

    Image of a dusty disk around a young star. Among the multiple concentric rings we see a small dot of light (indicated by a white circle). This is an image of a new-born planet, likely a gas giant similar to Jupiter in our own solar system (comparison image given in upper right corner) but about 5 times more massive. These observations were taken with the ESO Very Large Telescope in near-infrared light. Credit: C. Ginski/R. van Capelleveen et al.

    Evidence of a growing atmosphere

    In addition to its infrared glow, researchers from the University of Arizona confirmed the planet’s presence in visible light using a highly specialised instrument.

    This detection at a specific wavelength indicates that WISPIT 2b is still actively accreting gas – a sign that it is in the process of forming its atmosphere.

    This evidence strengthens the view that astronomers have captured WISPIT 2b at a crucial moment of growth, offering a front-row seat to processes that shaped not only our Solar System but countless planetary systems across the galaxy.

    The cosmic cradle of planet formation

    WISPIT 2b resides within a vast protoplanetary disk surrounding its host star. These disks, composed of gas and dust, are the birthplaces of planets.

    The one encircling WISPIT 2b has an immense radius of 380 astronomical units – about 380 times the distance between Earth and the Sun.

    These disks often display striking structures such as rings and spiral arms, which astronomers believe are carved by forming planets.

    Observing such features in real time helps researchers better understand how planetary systems evolve into the diverse configurations observed today.

    A new chapter in understanding planet formation

    For astronomers, WISPIT 2b represents far more than just another exoplanet. It offers a living snapshot of the planet formation process, bridging the gap between theoretical models and observable evidence.

    As technology advances, researchers expect that systems like this will reveal why planetary systems – our own included – can look so dramatically different from one another.

    The discovery is already drawing global attention. With WISPIT 2b now in the spotlight, scientists anticipate years of follow-up studies that could redefine what we know about the birth and evolution of planets.

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  • Scientists hail major breakthrough in developing holy grail of renewable energy: artificial photosynthesis

    Scientists hail major breakthrough in developing holy grail of renewable energy: artificial photosynthesis

    Turning sunlight directly into fuel has come closer to reality after scientists developed a molecule that can hold enough energy to mimic the way plants capture light.

    The discovery addresses one of the biggest obstacles to artificial photosynthesis – a technology long seen as a potential source of carbon-neutral fuels.

    Unlike conventional renewables, which generate electricity, artificial photosynthesis would make fuels that can be stored and used in ships, planes and heavy industry – sectors that are difficult to electrify.

    The breakthrough study, published by a team at the University of Basel, shows how a specially designed molecule can store four charges of energy from light – two positive and two negative – in a stable state. Storing multiple charges is essential because most fuel-making reactions, such as splitting water into hydrogen and oxygen, require more than one electron at a time.

    Until now, attempts to replicate photosynthesis in the lab have relied on intense laser light far stronger than natural sunlight. The new molecule can hold multiple charges under much dimmer conditions, close to those found outdoors, and keep them stable long enough to be used in chemical reactions such as splitting water into hydrogen and oxygen.

    The molecule is built from five connected parts, each with a role. Two units on one side release electrons, becoming positively charged. Two on the other side absorb electrons, becoming negatively charged. In the centre sits a light-absorbing unit that kickstarts the process. After two exposures to light, the molecule holds two positive and two negative charges – effectively bottling solar energy in a chemical form.

    “This stepwise excitation makes it possible to use significantly dimmer light. As a result, we are already moving close to the intensity of sunlight,” said doctoral student Mathis Brändlin, lead author of the study in Nature Chemistry.

    File Image: Artificial photosynthesis has been described as the holy grail of clean energy

    File Image: Artificial photosynthesis has been described as the holy grail of clean energy (Binghamton University/ State University of New York)

    It doesn’t mean the researchers have created a functioning artificial photosynthesis system, but professor Oliver Wenger, his supervisor, said “we have identified and implemented an important piece of the puzzle”.

    Artificial photosynthesis has been described as the holy grail of clean energy because it would create carbon-neutral fuels. Unlike batteries, which are heavy and expensive to store at scale, liquid fuels could be used in ships, planes and heavy industry where electrification is difficult. They could also be shipped worldwide through existing infrastructure, offering an alternative to fossil fuels that does not add new carbon to the atmosphere.

    Burning them would release only as much carbon dioxide as was absorbed to produce them, effectively closing the loop. It could also solve the intermittency problem of renewables – storing solar power in liquid form for use when the sun is not shining.

    So far pilot projects in Europe, Japan and the United States mostly remain confined to labs or small test sites, although many have demonstrated some progress.

    Japan has invested heavily in photocatalyst research as part of its hydrogen strategy, while the European Union has funded “Sun-to-Liquid” projects aimed at producing jet fuel from sunlight. US laboratories have developed prototypes for solar-driven hydrogen production. But scaling up has proved difficult, both because of efficiency losses and the cost of materials.

    With global demand for energy still rising, and fossil fuels remaining dominant in sectors like aviation and shipping, researchers say the need for storable, carbon-neutral fuels is urgent.

    “We hope that this will help us contribute to new prospects for a sustainable energy future,” Mr Wenger said.

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  • Israeli tanks close in on Gaza City, Trump to chair meeting – Reuters

    1. Israeli tanks close in on Gaza City, Trump to chair meeting  Reuters
    2. Gaza City evacuation inevitable, Israeli army warns Palestinians  BBC
    3. Palestinians flee Israel’s fierce bombardment of Gaza City  Al Jazeera
    4. Weapons, food and living quarters: IDF dismantles ‘Hamas underground tunnels’ – watch  The Times of India
    5. US to host talks on post-war Gaza as Israel calls Gaza City evacuation ‘inevitable’  AP News

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  • Knowledge, Attitude, and Practice of Nurses in Preventing Complication

    Knowledge, Attitude, and Practice of Nurses in Preventing Complication

    Introduction

    Nephrotic syndrome (NS) is a chronic renal disorder characterized by heavy proteinuria, hypoalbuminemia, hyperlipidemia, and generalized edema. Beyond its primary manifestations, NS poses a substantial risk for complications such as infections, thromboembolic events, acute kidney injury, and long-term renal impairment.1–3 These complications can significantly increase morbidity, prolong hospitalization, and elevate healthcare costs. Early recognition and proactive management are critical to improving patient prognosis, reducing hospital readmissions, and preventing irreversible organ damage.4,5

    In clinical settings, nurses are often the first healthcare providers to detect early warning signs of NS-related complications. Their roles encompass not only routine care and medication administration but also active patient education, risk screening, and lifestyle counseling. Through continuous monitoring and close patient contact, nurses are well positioned to intervene promptly and implement complication-preventive strategies.6,7 However, their ability to do so effectively is largely influenced by their level of knowledge, clinical attitude, and behavioral practice. Despite the rising burden of NS in China and other aging populations, there remains a lack of empirical data on how well-prepared nurses are to manage the potential complications of this condition. Existing literature has primarily focused on general nephrology knowledge or patient-level education, while the specific contribution and preparedness of nursing personnel in complication prevention have been underexplored. This study aims to fill this gap by assessing the KAP levels of nurses in preventing NS complications and identifying the factors influencing their practices.8–10 Moreover, discrepancies in clinical training, lack of targeted protocols, and variable exposure to nephrology-specific content during education further contribute to practice inconsistencies. A recent systematic review highlights differences in perspectives between nurses and clinicians regarding NS complications.11 This comparison underlines the need for further exploration of the role nurses play in complication prevention, which has been insufficiently addressed in current research.

    Understanding nurses’ knowledge, attitudes, and practices (KAP) regarding complication prevention in NS is crucial for identifying systemic gaps and designing effective interventions. Studies in similar domains have shown that higher levels of professional knowledge and proactive attitudes are associated with improved clinical behaviors and better patient outcomes.12–14 However, no comprehensive KAP assessment has yet been conducted among Chinese nurses in the context of nephrotic syndrome.

    This study seeks to address this gap by systematically evaluating the KAP levels of nurses involved in NS patient care across Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Shanghai Baoshan Medical Emergency Center. By identifying key influencing factors and barriers, we aim to provide evidence to support the development of structured education programs, nursing protocols, and practice guidelines to improve the quality of nephrotic syndrome management and reduce preventable complications.

    Methods

    Study Design and Participants

    This descriptive cross-sectional study was conducted between January and December 2023 in the nephrology and internal medicine departments of Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Shanghai Baoshan Medical Emergency Center in China. A total of 246 registered nurses working in nephrology, general medicine, or related inpatient units were invited to participate. Nurses were eligible if they: 1) had direct clinical responsibilities involving patients diagnosed with nephrotic syndrome; 2) were able and willing to complete the questionnaire independently; and 3) had no barriers to communication. Exclusion criteria included: 1) incomplete survey responses exceeding 5% of items; 2) known psychiatric or neurological disorders that could impair judgment; and 3) inability to complete the follow-up validation step for test-retest reliability.

    The study employed a purposive sampling method, where 246 registered nurses working in nephrology, general medicine, and related inpatient units at Ruijin Hospital and Shanghai Baoshan Medical Emergency Center were invited to participate. This method ensured that the sample was representative of nurses who had direct clinical responsibilities involving nephrotic syndrome patients. Participants were selected based on their involvement in the care of nephrotic syndrome patients, ensuring that their experience and practice were relevant to the study’s focus. This purposive approach allows for a focused evaluation of nurses who are specifically engaged in the prevention and management of complications in nephrotic syndrome. Surveys with more than 5% of missing responses were excluded to ensure the integrity of the data used for analysis. This threshold was selected based on standard practices in survey research, where 5% missing data is generally considered an acceptable limit that does not introduce significant bias into the results. Only complete responses were considered valid for statistical analysis to maintain the reliability of the study findings.

    The study was conducted in full compliance with ethical guidelines, and in accordance with the Declaration of Helsinki. All participants provided written informed consent before participation. The study protocol was reviewed and approved by the institutional ethics committees of Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Shanghai Baoshan Medical Emergency Center. Ethical procedures, including maintaining participant confidentiality and anonymity, were strictly followed throughout the study. Despite the large sample size of 246 participants, ethical standards were rigorously upheld, and no concerns regarding the violation of ethical procedures were identified.

    Data Collection Procedures

    Data were collected using a structured, self-administered questionnaire specifically designed to evaluate knowledge, attitude, and practice (KAP) regarding the prevention of complications in nephrotic syndrome. The questionnaire was adapted from previously validated instruments used in nephrology nursing and chronic disease prevention research, with modifications made for relevance to nephrotic syndrome care. The final tool consisted of 31 items across three domains: 10 knowledge items, 8 attitude items, and 13 practice items. Each knowledge item was scored as either correct (1) or incorrect/unclear (0), producing a total possible score ranging from 0 to 10. Knowledge levels were categorized into low (0–3), moderate (4–6), and high (7–10). Attitude items were assessed on a 5-point Likert scale from 0 (strongly disagree) to 4 (strongly agree), resulting in a score range of 0 to 32. Scores less than 8 indicated a negative attitude, 8 to 16 were considered moderate, and scores above 16 were deemed positive. Practice items were rated from 0 (never) to 4 (always), with a total possible score from 0 to 52, categorized as poor (0–13), general (14–26), good (27–38), and excellent (39–52).

    Translation and Validation

    The questionnaire was initially developed in English and translated into Chinese following WHO guidelines for cross-cultural adaptation. Two independent bilingual nephrology professionals translated the items into Mandarin, and a separate linguist conducted back-translation into English. Discrepancies between the versions were reconciled through group discussion and expert consensus. The final Chinese version was reviewed by three senior nurse educators to ensure linguistic clarity and clinical applicability for the target population.

    Pretest Evaluation and Reliability Assessment

    A pilot test was conducted with 50 nurses to evaluate the clarity, relevance, and difficulty of each item. Items that received more than 20% negative feedback in terms of clarity or relevance were revised before the formal survey distribution. For reliability testing, a subgroup of 30 participants completed the questionnaire a second time after a two-week interval. Test-retest reliability was evaluated using Pearson’s correlation coefficient. Internal consistency across the knowledge, attitude, and practice domains was assessed using Cronbach’s alpha. The difficulty index for knowledge items was calculated using the formula: Difficulty Index (%) = (Number of correct responses / Total responses) × 100. Items with difficulty values outside the 30–70% range were flagged for review and refinement.

    Sample Size Calculation

    According to psychometric standards, a sample size of 5–10 participants per questionnaire item is recommended for validation and factor analysis. With 31 items, the minimum required sample size was between 155 and 310. A final sample of 246 participants exceeded this threshold, ensuring adequate statistical power and representativeness for subsequent analyses.

    Statistical Analysis

    Data analysis was performed using SPSS version 26.0. Descriptive statistics (means, standard deviations, frequencies, and percentages) were used to summarize demographic data and KAP scores. The Shapiro–Wilk test was employed to assess normality. Between-group comparisons were conducted using independent-sample t-tests and one-way ANOVA. Pearson correlation coefficients were calculated to assess relationships between knowledge, attitude, and practice scores. Multivariate logistic regression was used to identify predictors of good practice, with results expressed as odds ratios (OR) and 95% confidence intervals (CI). Model fit was assessed with the Hosmer-Lemeshow goodness-of-fit test, and a p-value < 0.05 was considered statistically significant throughout the analyses.

    Results

    Participant Characteristics

    A total of 246 nurses from Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Shanghai Baoshan Medical Emergency Center completed the survey. Among them, 91.9% were female and 8.1% male. The average age of participants was 35.25 ± 7.55 years. Regarding residence, 39.8% were from rural regions, 48.6% from urban areas, and 11.4% from suburban settings. The education level varied: 14.2% had primary school or below, 22.0% middle school, 22.0% high school or technical training, 35.8% junior college or bachelor’s degree, and 6.1% had a master’s degree or above. Over half (64.2%) had less than 5 years of experience. In terms of professional status, 50.8% were employed, 40.7% self-employed, and 8.5% classified as other. Monthly income levels were nearly evenly split between those earning <700 USD (50.8%) and ≥700 USD (49.2%). The majority were married (64.2%), with 30.9% unmarried and 4.9% divorced or widowed. Most respondents (88.6%) held a nurse title, while 11.4% were associate or full professors. Regarding health background, 14.2% had a history of chronic illness, including hypertension, diabetes, or cardiovascular disease. Additionally, 28.5% reported having sleep problems. Concerning work patterns, 45.5% worked more than 40 hours per week, and 64.2% regularly worked night shifts. Only 26.8% held clinical teaching roles, and 41.5% had experienced promotion. Self-rated clinical competence was high in 37.0% of participants, moderate in 50.8%, and low in 12.2%. Comprehensive demographic and KAP score distributions are summarized in Table 1. The average knowledge score was 4.53 ± 2.88 (out of 10). Based on score classification, 34.7% of nurses were in the low knowledge group (0–3), 38.9% had moderate knowledge (4–6), and only 26.4% achieved high scores (≥7). Nurses with postgraduate education and clinical teaching roles tended to score higher. Attitude scores averaged 17.84 ± 4.64 (range 0–32). Most participants (71.5%) exhibited a positive attitude toward complication prevention, 22.9% demonstrated a moderate attitude, and 5.6% expressed negative attitudes. Positive attitudes were more common among nurses with higher education, better self-rated competence, and promotion experience. Practice scores averaged 31.25 ± 11.10 (range 0–52). Overall, 21.7% of respondents demonstrated excellent practices (score ≥39), 30.8% were in the good range (27–38), 29.1% fell into the general category (14–26), and 18.4% showed poor practice (<14). Nurses who had been promoted, had teaching duties, or rated themselves as highly competent tended to practice more effectively. Distribution across KAP dimensions is presented in Table 1.

    Table 1 Demographic Characteristics and KAP Scores of Participants

    Item-Level Performance Analysis

    Among the ten knowledge items, the highest correct response rate (62.60%) was seen for infection prevention in nephrotic syndrome patients. The lowest accuracy was found in the question concerning routine anticoagulation in hypoalbuminemic patients (23.58%), indicating considerable confusion about thromboembolism prophylaxis. Multiple items, particularly K4, K7, and K10, fell below the 50% accuracy threshold, reflecting persistent knowledge gaps in complication monitoring, anticoagulation, and alternative therapies. Full item-level performance is detailed in Table 2.

    Table 2 Knowledge Dimension in KAP Distribution of Responses Among Participants

    Attitude Item Distribution

    Nurses generally acknowledged the importance of early detection and multidisciplinary intervention in NS complications. Over 80% either agreed or strongly agreed that nurses play a key role in complication prevention. However, when asked whether nurses should lead complication management teams, responses were more divided, with nearly 20% disagreeing or expressing uncertainty. Notably, 75.2% agreed that time constraints limited their ability to apply preventive strategies, highlighting an operational barrier. Detailed response patterns are shown in Table 3.

    Table 3 Attitude Dimension in KAP Distribution of Responses Among Participants

    Practice Behavior Frequency

    Clinical practices varied. The most consistently performed behaviors were regular monitoring of edema, urine output, and infection signs, with over 42% reporting “always”. Patient education, particularly on thrombosis warning signs and follow-up care, was less frequently performed; 41.2% reported “seldom” or “never” educating patients on thromboembolism. Only 25.6% of nurses reported always updating their knowledge via training or guidelines. These findings underscore a disconnection between positive attitudes and real-world implementation. Practice frequency by item is listed in Table 4.

    Table 4 Practices Dimension in KAP Distribution of Responses Among Participants

    Correlation Among Knowledge, Attitude, and Practice

    Pearson correlation analysis demonstrated significant positive relationships among knowledge, attitudes, and practices. The strongest correlation was between knowledge and practice (r = 0.421, p < 0.001, 95% CI [0.303, 0.540]), followed by knowledge and attitude (r = 0.351, p < 0.001, 95% CI [0.219, 0.632]), and attitude and practice (r = 0.336, p = 0.015, 95% CI [0.061, 0.611]). These results support the interdependence of cognitive, affective, and behavioral domains in complication prevention (Table 5).

    Table 5 Correlation Analysis Between Knowledge, Attitudes, and Practices

    Predictors of Higher Practice Levels

    Univariate logistic regression identified knowledge and attitude scores, education level, self-rated competence, clinical teaching role, and promotion experience as significant predictors of high practice levels. In multivariate regression, knowledge (OR = 1.14; 95% CI: 1.05–1.26; p = 0.007) and attitude scores (OR = 1.08; 95% CI: 1.03–1.20; p = 0.010) remained significant.

    In addition, having a master’s degree or higher was independently associated with better practice (OR = 3.51; 95% CI: 1.31–5.66; p = 0.005). Self-rated high competence (OR = 1.75; 95% CI: 1.08–3.01; p = 0.036) and promotion experience (OR = 1.53; 95% CI: 1.07–2.74; p = 0.041) were also positively associated. Variables such as age, gender, income, and night shift status were not statistically significant predictors. Full regression details are provided in Table 6.

    Table 6 Univariate and Multivariate Logistic Regression Analysis for Practice Levels

    Discussions

    This study sheds light on the current state of nursing knowledge, attitudes, and practices related to the prevention of complications in patients with nephrotic syndrome.15–17 As frontline healthcare providers, nurses play an indispensable role in identifying early warning signs, delivering patient education, and coordinating multidisciplinary interventions aimed at minimizing adverse outcomes. The results demonstrate that while nurses generally maintain a positive attitude and engage in preventive behaviors, their foundational knowledge of nephrotic syndrome complications remains limited. This disconnect between attitude and knowledge suggests an underlying gap in both formal training and clinical exposure. Recent studies have explored the role of nurses in managing chronic kidney disease and nephrotic syndrome, highlighting the need for continued professional development and education.18,19 This aligns with our findings, which emphasize the importance of targeted training to improve nursing practices in complication prevention. By incorporating these recent studies, our work provides a more comprehensive understanding of the current state of nephrotic syndrome care from a nursing perspective.

    The moderate knowledge levels observed among the participants are consistent with previous studies in chronic disease nursing, where practical experience often outpaces theoretical understanding. In this context, limited familiarity with thromboembolic risk, hypoalbuminemia-associated complications, and long-term renal monitoring emerged as key deficiencies. These areas are crucial for early intervention and patient safety, yet they appear underrepresented in the knowledge profile of general ward nurses. This indicates a pressing need for nephrology-specific content to be more prominently integrated into continuing nursing education and certification programs. Notably, nurses with higher levels of knowledge were significantly more likely to demonstrate effective clinical practices and maintain positive attitudes toward complication prevention.20 This finding supports the conceptual framework of health behavior change, which posits that knowledge acts as a catalyst for both motivation and action. The correlation between knowledge and practice also highlights the critical role of institutional support in fostering evidence-based care. Without access to updated guidelines, structured training, and supervisory feedback, even well-intentioned nurses may struggle to apply best practices consistently.

    In line with other studies across nursing specialties, this research confirmed that higher educational attainment and prior nephrology training are strong predictors of better clinical practice. Nurses with postgraduate education exhibited superior performance in applying preventive strategies, suggesting that advanced academic preparation not only deepens knowledge but also enhances critical thinking and interdisciplinary coordination.21,22 These findings underscore the value of postgraduate nursing education, not just for personal development but also for improving clinical outcomes in high-risk patient populations.

    Despite the generally favorable attitudes observed, several inconsistencies were noted in actual practice behaviors. For example, many nurses infrequently provided education on thromboembolism or individualized preventive counseling to patients, despite acknowledging their importance. Such discrepancies may be attributed to systemic barriers, including insufficient staffing, high workload, lack of formal nephrology protocols, or limited collaboration with physicians. This echoes findings from studies in other domains such as diabetes, osteoporosis, and heart failure, where fragmented care environments often hinder effective knowledge translation.23,24

    This study provides valuable insights into the role of nurses in preventing complications associated with NS. While clinicians play a key role in the medical management of NS, nurses contribute significantly to the early detection of complications and the implementation of preventive strategies. Nurses, who are often the first to observe changes in patients’ conditions, have the unique opportunity to identify early warning signs of complications such as infections, thromboembolism, and acute kidney injury. Their proactive engagement in patient education, lifestyle counseling, and routine monitoring can complement clinicians’ efforts, ensuring a more holistic and comprehensive approach to patient care. From a nursing perspective, this study highlights the importance of continuous education and training to enhance the knowledge, attitudes, and practices of nursing staff in nephrotic syndrome management. By strengthening the competencies of nurses, we can improve not only the prevention of complications in adult patients but also in pediatric patients, where early intervention is crucial for minimizing long-term renal damage. The findings underscore the importance of collaboration between nurses and clinicians to ensure optimal management of nephrotic syndrome complications across diverse patient populations.

    This study has several limitations. First, the cross-sectional design restricts the ability to draw causal inferences from the data. While the study provides valuable insights into the current state of nurses’ KAP regarding nephrotic syndrome complication prevention, the inability to track changes over time limits the understanding of how these factors evolve. Second, the study relied on self-reported data, which may introduce response bias or inaccuracies in reporting knowledge and practices. Third, while our sample of 246 nurses was representative of those working in nephrology-related units in two major hospitals, the findings may not be generalizable to other regions or healthcare systems, especially in rural areas or lower-resource settings. Additionally, the study was conducted in a single country, China, and the findings may not fully capture the diversity of practices and perspectives across different countries or cultural contexts. These limitations suggest the need for further research using longitudinal designs, objective measures, and more geographically diverse samples.

    This study adds to a growing body of evidence advocating for the development of structured, nurse-centered models of chronic disease management. In the case of nephrotic syndrome, where complications are frequent and potentially life-threatening, empowering nurses with accurate knowledge and institutional support is vital. Improving clinical education, clarifying role responsibilities, and fostering interdisciplinary communication are key to enhancing the quality and consistency of care.

    Conclusion

    This study provides a comprehensive evaluation of nurses’ knowledge, attitudes, and practices in preventing complications associated with nephrotic syndrome. Although the majority of nurses expressed positive attitudes and demonstrated reasonable levels of preventive behavior, significant knowledge gaps persist, especially in areas critical to patient safety. The alignment among KAP domains and the influence of educational level and specialized training emphasize the need for systematic investment in nephrology-focused education and structured clinical support. By equipping nurses with both the knowledge and the operational tools to act effectively, healthcare systems can improve early detection, reduce preventable complications, and optimize outcomes for patients with nephrotic syndrome.

    Data Sharing Statement

    The datasets used and analyzed during the current study are available from the corresponding author on reasonable request.

    Informed Consent and Ethical Approval

    This cross-sectional study was approved by the ethics committees of Ruijin Hospital affiliated with Shanghai Jiao Tong University School of Medicine and Shanghai Baoshan Medical Emergency Center. All patients provided written informed consent.

    Consent for Publication

    The patient provided written informed consent for publication of this research and the associated images.

    Author Contributions

    Nannan Wang and Xueqin Deng contributed equally to this work and share the first authorship. All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

    Funding

    There is no funding to report.

    Disclosure

    The authors have no conflicts of interest to declare.

    References

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    2. Shin JI, Kronbichler A, Oh J, Meijers B. Nephrotic syndrome: genetics, mechanism, and therapies. Biomed Res Int. 2018;2018:6215946. doi:10.1155/2018/6215946

    3. Zabala Ramirez MJ, Stein EJ, Jain K. Nephrotic syndrome for the internist. Med Clin North Am. 2023;107(4):727–737. doi:10.1016/j.mcna.2023.03.006

    4. Pal A, Kaskel F. History of nephrotic syndrome and evolution of its treatment. Front Pediatrics. 2016;4:56. doi:10.3389/fped.2016.00056

    5. Ukarapong S, Berkovitz G, McElreavey K, Bashamboo A, Bao Y. Early recognition of gonadal dysgenesis in congenital nephrotic syndrome. Clin Nephrol. 2016;86(12):341–344. doi:10.5414/CN108925

    6. Bérody S, Heidet L, Gribouval O, et al. Treatment and outcome of congenital nephrotic syndrome. Nephrol Dialysis Transpl. 2019;34(3):458–467. doi:10.1093/ndt/gfy015

    7. Politano SA, Colbert GB, Hamiduzzaman N. Nephrotic syndrome. Primary Care. 2020;47(4):597–613. doi:10.1016/j.pop.2020.08.002

    8. Frățilă VG, Lupușoru G, Sorohan BM, et al. Nephrotic syndrome: from pathophysiology to novel therapeutic approaches. Biomedicines. 2024;12(3):569. doi:10.3390/biomedicines12030569

    9. Mattoo TK, Sanjad S. Current understanding of nephrotic syndrome in children. Pediatr Clin N Am. 2022;69(6):1079–1098. doi:10.1016/j.pcl.2022.08.002

    10. Trautmann A, Vivarelli M, Samuel S, et al. IPNA clinical practice recommendations for the diagnosis and management of children with steroid-resistant nephrotic syndrome. Pediatr Nephrol. 2020;35(8):1529–1561. doi:10.1007/s00467-020-04519-1

    11. Hilmanto D, Mawardi F, Lestari AS, Widiasta A. Disease-associated systemic complications in childhood nephrotic syndrome: a systematic review. Int J Nephrol Renovasc Dis. 2022;15:53–62. doi:10.2147/IJNRD.S351053

    12. Abad CL, Formalejo CP, Mantaring DML. Assessment of knowledge and implementation practices of the ventilator acquired pneumonia (VAP) bundle in the intensive care unit of a private hospital. Antimicrob Resist Infect Control. 2021;10(1):161. doi:10.1186/s13756-021-01027-1

    13. Altarawneh WM, Masa’deh R, Hamaideh SH, Saleh AM, Alhalaiqa F. Nurses’ knowledge, attitudes and practices towards palliative care provided to patients diagnosed with cancer. PLoS One. 2023;18(10):e0289317. doi:10.1371/journal.pone.0289317

    14. Famuyide M, Compretta C, Ellis M. Neonatal nurse practitioner ethics knowledge and attitudes. Nursing Ethics. 2019;26(7–8):2247–2258. doi:10.1177/0969733018800772

    15. Dorval G, Gribouval O, Martinez-Barquero V, et al. Clinical and genetic heterogeneity in familial steroid-sensitive nephrotic syndrome. Pediatr Nephrol. 2018;33(3):473–483. doi:10.1007/s00467-017-3819-9

    16. Gadegbeku CA, Gipson DS, Holzman LB, et al. Design of the nephrotic syndrome study network (Neptune) to evaluate primary glomerular nephropathy by a multidisciplinary approach. Kidney Int. 2013;83(4):749–756. doi:10.1038/ki.2012.428

    17. Gipson DS, Selewski DT, Massengill SF, et al. NephCure accelerating cures institute: a multidisciplinary consortium to improve care for nephrotic syndrome. Kidney Int Rep. 2018;3(2):439–446. doi:10.1016/j.ekir.2017.11.016

    18. Duncanson E, Le Leu RK, Chur-Hansen A, et al. Nephrology nurses’ perspectives working with patients experiencing needle-related distress. J Renal Care. 2024;50(3):241–251. doi:10.1111/jorc.12483

    19. Parozzi M, Andreoli D, Morales Palomares S, et al. Exploring educational and training skills of nephrology nurses: scoping review. Giornale italiano di nefrologia. 2025;42(1).

    20. Prince LK, Campbell RC, Gao SW, et al. The dialysis orders objective structured clinical examination (OSCE): a formative assessment for nephrology fellows. Clin Kidney J. 2018;11(2):149–155. doi:10.1093/ckj/sfx082

    21. Mohottige D, Diamantidis CJ, Norris KC, Boulware LE. Racism and kidney health: turning equity into a reality. American J Kidney Dis. 2021;77(6):951–962. doi:10.1053/j.ajkd.2021.01.010

    22. Prince LK, Little DJ, Schexneider KI, Yuan CM. Integrating quality improvement education into the nephrology curricular milestones framework and the clinical learning environment review. Clin J American Soc Nephrol. 2017;12(2):349–356. doi:10.2215/CJN.04740416

    23. Murphy A, Banerjee A, Breithardt G, et al. The world heart federation roadmap for nonvalvular atrial fibrillation. Global Heart. 2017;12(4):273–284. doi:10.1016/j.gheart.2017.01.015

    24. Robinson CH, Chanchlani R. High blood pressure in children and adolescents: current perspectives and strategies to improve future kidney and cardiovascular health. Kidney Int Rep. 2022;7(5):954–970. doi:10.1016/j.ekir.2022.02.018

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  • Azam Khan Reveals Why He Hasn’t Focused on His Fitness

    Azam Khan Reveals Why He Hasn’t Focused on His Fitness

    Not many players in Pakistan’s recent cricketing history have polarized the fans as much as Azam Khan. The wicket-keeper batter possesses every attribute of a modern cricketer except for the most crucial one: fitness.

    Since making his debut in 2021, the only debate surrounding Azam has been about his weight issues, and the 27-year-old has finally opened up about what has been the main reason behind his slow progress.

    Speaking in an interview with PakPassion, Azam Khan was forthright about the challenges of managing weight and performance.

    “Right now, I am in Lahore and trying to work on my fitness and game at the NCA. My weight loss won’t happen in a couple of weeks or days—it needs time,” Azam said. He then went on to explain what has been keeping him from getting on the right track.

    “For the past four or five years, I have been playing a lot of cricket, so I didn’t have the chance to properly focus on my fitness.”

    Despite not finding a consistent place in Pakistan’s international team, Azam Khan has become a regular feature in T20 leagues across the world. With world-class talent around him, Azam’s sub-par fitness has been shielded from scrutiny, which seemingly dissuaded him from taking his fitness journey seriously.

    “I had some bad eating habits, but that’s not an excuse anymore,” he admitted.

    Azam Khan, who last represented Pakistan at the 2024 T20 World Cup, remains hopeful of a return to the national fold after overcoming his weight issues. He believes only consistent hard work will allow him to sustain a career at the top.

    “The plan is to play at the highest level, and for that, you have to train to be the best. Many players have played internationally but then disappeared. If I want to sustain myself, I need to work twice as hard as I am now,” Azam stressed.

    Pakistan’s head coach Mike Hesson has made his standards clear, and if Azam hopes to get back into national selection, he has his work cut out for him.

    Despite the setbacks, Azam Khan insists the journey is far from over. His newfound commitment to fitness suggests a player eager to rewrite his narrative. If he can turn things around, the hard-hitting batter is the perfect player for the new-look Pakistan team who wish to enter the modern era as well.


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  • Optimizing fluticasone propionate and ciclesonide pMDI delivery: The p

    Optimizing fluticasone propionate and ciclesonide pMDI delivery: The p

    Introduction

    Asthma is a highly prevalent chronic respiratory disease, affecting approximately 340 million individuals globally.1 It is characterized by bronchial hyperreactivity, resulting in symptoms such as wheezing, shortness of breath, chest tightness, breathlessness, and coughing, along with variable expiratory airflow limitation. As an inflammatory condition, asthma is treated using inhaled corticosteroids (ICS), with fluticasone propionate (FP) and ciclesonide (CIC) being among the most frequently used options. Globally, most ICSs are administered with pressurized metered-dose inhalers (pMDI).

    pMDI containing FP is available as a suspension, a heterogeneous mixture where solid particles are dispersed within a liquid. These particles, typically larger than 1 µm, do not dissolve in the solvent. Suspensions are inherently unstable, with the dispersed particles prone to settling under gravity, a process that can be reversed by shaking. In contrast, pMDI containing CIC is prepared as a stable solution, with drug particles evenly distributed and resistant to settling over time.2 The mass median aerodynamic diameter (MMAD) of an FP pMDI is significantly larger (2.6 μm) compared to a CIC pMDI (1.0 μm).3

    Particle size plays a pivotal role in the aerodynamic behavior of aerosols and is a key factor in determining how deep inhaled medications travel in the respiratory tract. Particles within the 1–5 µm range, commonly referred to as the respirable range, are considered optimal for traversing the mouth, pharynx, and larynx to reach the lower airways. It is commonly thought that larger particles, exceeding 5 µm, are more likely to deposit in the upper airways or be swallowed, while smaller particles, below 1 µm, are generally exhaled.4 However, the notion that sub-1 µm particles do not achieve effective lung deposition has been called into question.5 Nevertheless, correct aerodynamic particle size distribution (APSD) of an aerosol medication is crucial for ensuring effective drug delivery and therapeutic efficacy.

    While pMDIs may be used without a valved holding chamber (VHC), the use of a VHC is recommended for ICS delivery to reduce oropharyngeal deposition and minimize the risk of local side effects, such as dysphonia and oral candidiasis.6–8 VHCs differ significantly in properties such as material composition, aerodynamic characteristics, valve mechanisms, shape, electrostatic properties, and volume, all of which can impact APSD.9–11

    The effectiveness of ICS administration relies on proper inhaler technique and incorrect use has been associated with poor asthma outcomes.12 Nevertheless, errors in inhaler technique are common.13,14 To optimize the delivery of active substances to the lower airways, patients are advised to begin with a slow, steady inhalation and actuate the inhaler immediately after starting to inhale. However, patients may activate the inhaler simultaneously with or even before beginning inhalation, preventing the adequate flow rate from being achieved before actuation. As many as a quarter of patients have been observed making this mistake.14

    Earlier in vitro investigations have demonstrated that the interval between pMDI actuation and subsequent inhalation can markedly influence the amount of aerosolised medication delivered when used with VHCs.15,16 Initiating inhalation at the time of actuation may hinder efficient ICS delivery if a VHC is not used, as there is no space for the plume to disperse, unlike when a VHC is used. To the best of our knowledge, the protective effect of VHCs during inhalation delay has not been sufficiently quantified. This in vitro study aimed to assess how initiating inhalation before actuation affects APSD of FP and CIC, compared to when inhalation is started at actuation. We also sought to determine how the use of a VHC influences APSD of FP and CIC when inhalation is initiated at actuation.

    Methods

    Data Collection

    Instrumentation, Drugs, Sample Collection and Analyses

    This study was performed in vitro. The VHCs were connected to an anatomical adult throat model (Adult Alberta Idealised Throat, Copley Scientific Limited, Nottingham, UK) with a silicone adapter. The throat model was followed by the mixing inlet (Copley Scientific Limited, Nottingham, UK) and the cascade impactor system Next Generation Impactor (NGI, Copley Scientific Limited, Nottingham, UK).

    The pharmaceutical products studied were FP pMDI (Flixotide Evohaler 125 µg/dos, GlaxoSmithKline Inc., Evreux, France) and CIC pMDI (Alvesco 160 µg/dos, AstraZeneca AB, Södertälje, Sweden). The FP pMDI canister was vigorously shaken prior to each actuation. In each test setup, two doses of the drugs were delivered – each puff actuated individually in coordination with inhalation – and the resulting samples were subsequently collected.

    The preparation of the test system included coating the cups of the NGI stages with a fixation solution (40 g glycerol + 10 mL of 15% Brij35 in ethanol) to minimize particle bounce and re-entrainment. The samples were collected from the throat model and all eight stages of the NGI. At NGI flow rate of 45 L/min, the particle diameter cut-off values of various stages were as follows: 9.4 µm, 5.2 µm, 3.3 µm, 1.9 µm, 1.1 µm, 0.7 µm, 0.4 µm, and 0.1 µm (Micro-Orifice Collector, MOC). The NGI stage cut-off diameters were calculated based on the constant flow rate within the NGI with interpolation performed between adjacent stages.

    To collect the samples, 30 mL of solvent, 50% ethanol (v/v), was added to the throat model and 15 mL to the NGI cups. The outlets of the throat model were covered, solvent added, and the model was then shaken. The cups were shaken with a gentle rocker (Copley Scientific Limited, Nottingham, UK) after adding the solvent for 15 minutes. After adequate mixing, 1.5 mL of each sample was collected to a vial. The NGI samples were analyzed by high-performance liquid chromatography carried out by Emmace Consulting AB (Lund, Sweden) with the following setup: mobile phase: 96% ethanol/0.1% ammonium acetate 43/57 (vol/vol), pump flow rate: 1.5 mL/min, injection volume: 100 µL, detection wavelength: 226 nm, column: Waters XTerra RP18 3.5 µm, 50×4.6 mm. Validation showed linearity 0.03–32 µg/mL. The limit of quantitation (LOQ) was 0.03 µg/mL.

    Inhalation Simulations, Timing of Actuation and Valved Holding Chamber

    The APSD of FP and CIC was examined using three different setups: 1) inhalation initiated before actuation without a VHC; 2) inhalation started at actuation without a VHC; and 3) inhalation started at actuation with a VHC. Each test setup was repeated four times. To assess how a VHC affects deposition of a suspension and a solution pMDI (FP and CIC, respectively), the reusable plastic (acrylonitrile butadiene styrene) EasyChamber (TriOn Pharma, Hampshire, United Kingdom) with a chamber volume of 175 mL was used. Three separate VHCs from different manufacturing lots were used to ensure reliability of data. Before and in between the experiments the components of the VHCs were washed and dried according to the manufacturer’s instructions. To simulate inhalation initiated before actuation, a constant flow of 30 L/min was used. To simulate delayed inhalation, actuation was initiated at the exact start of inspiration using a breathing simulator (Breathing Simulator BRS 3100, Copley Scientific Limited, Nottingham, UK), which was programmed to represent an adult-type single inhalation. The flow rate reached 30 L/min within 0.5 seconds, followed by a steady flow maintained at 30 L/min for 3.5 seconds.17 The flow then ceased over the subsequent 0.5 seconds, resulting in a total inhalation duration of 4.5 seconds with a total inhalation volume of 2030 mL.

    Statistics

    The software IBM SPSS Statistics for Windows, version 27 (IBM Corp, NY, USA), was used for the data analysis. Proportions of the label claim of FP and CIC deposited in the throat model and as particles 1–5 µm and under 1 µm in diameter, delivered with inhalation initiated before actuation without a VHC as well as with inhalation started at actuation both without and with a VHC, were compared using the mean. Confidence intervals of 95% were established. To compare APSD of FP and CIC delivered with inhalation initiated before actuation without a VHC as well as with inhalation started at actuation both without and with a VHC, a general linear model of repeated measures was utilized.

    Ethical Statement

    Due to the in vitro setting of the study, no ethical approval was required.

    Results

    Figure 1 illustrates the APSD of FP delivered with inhalation initiated before actuation without a VHC as well as with inhalation started at actuation both without and with a VHC. When inhalation began at actuation, the APSD profiles beyond the throat model had a similar shape. However, without a VHC, overall drug delivery was significantly lower than with a VHC. When inhalation was initiated before actuation (without the VHC), particle deposition was slightly more skewed toward smaller particles (Figure 1).

    Figure 1 Aerodynamic particle size distribution of fluticasone propionate (250 µg) delivered using three different setups: inhalation initiated before actuation without a valved holding chamber (VHC), inhalation started at actuation without a VHC, and inhalation started at actuation with a VHC. Error bars indicate 95% confidence interval.

    Abbreviation: MOC, Micro-Orifice Collector.

    Figure 2 illustrates the APSD of CIC delivered with inhalation initiated before actuation without a VHC as well as with inhalation started at actuation both without and with a VHC. Without considering throat deposition, APSD profile of CIC was almost identical when inhalation started before actuation without a VHC and when a VHC was used with inhalation starting at actuation. However, when no VHC was used and inhalation started at actuation, the APSD changed in both shape and magnitude, leading to a much lower delivered dose and a slight shift toward smaller particles (Figure 2).

    Figure 2 The aerodynamic particle size distribution of ciclesonide (320 µg) delivered using three different setups: inhalation initiated before actuation without a valved holding chamber (VHC), inhalation started at actuation without a VHC, and inhalation started at actuation with a VHC. Error bars indicate 95% confidence interval.

    Abbreviation: MOC, Micro-Orifice Collector.

    Table 1 presents the percentage of the label claim deposited in the throat model and as particles in the 1–5 µm and under 1 µm diameter ranges, delivered with inhalation initiated before actuation without a VHC as well as with inhalation started at actuation both without and with a VHC. The timing of inhalation relative to pMDI actuation did not affect throat deposition of FP or CIC; however, with the VHC, throat deposition was reduced to only a few percent of the label claim for both. Deposition of particles 1–5 µm was lowest for both medications when inhalation was initiated concurrently with actuation without a VHC. The VHC markedly improved the deposition of particles 1–5 µm for both medications, with the effect being especially pronounced for CIC. The proportion of particles under 1 µm for FP was only a few percent of the label claim and increased only slightly with the use of a VHC while remaining unaffected by inhalation timing. In contrast, for CIC, deposition of particles under 1 µm was lower when inhalation was initiated concurrently with actuation and no VHC was used but markedly improved when a VHC was utilized and when inhalation was initiated before actuation (Table 1).

    Table 1 Proportions of the Label Claim Deposited in the Throat Model and in the Next Generation Impactor as Particles 1–5 µm and Under 1 µm in Diameter, Delivered Using Three Different Setups: Inhalation Initiated Before Actuation without a Valved Holding Chamber (VHC), Inhalation Started at Actuation without a VHC, and Inhalation Started at Actuation with a VHC

    The mass MMAD and geometric standard deviation (GSD), representing the measures of central tendency and spread, respectively, are presented in Table 2.

    Table 2 Mass Median Aerodynamic Diameter (MMAD) and Geometric Standard Deviation (GSD) of Fluticasone Propionate and Ciclesonide Obtained from the Next Generation Impactor Using Three Different Setups: Inhalation Initiated Before Actuation without a Valved Holding Chamber (VHC), Inhalation Started at Actuation without a VHC, and Inhalation Started at Actuation with a VHC. Values are Mean ± Standard Deviation (SD)

    Discussion

    In this in vitro investigation, we found that when inhalation is initiated simultaneously with actuation, the effective dose delivered decreased markedly for both FP and CIC compared to when inhalation was begun correctly, ie, before actuation. However, when a VHC was used and inhalation was started at actuation, delivered dose improved substantially for both medications. This protective effect of the VHC was especially pronounced for CIC, with both the fraction of particles in the 1–5 µm range and those under 1 µm returning to the same levels as when inhalation was initiated correctly.

    We hypothesize that when the pMDI is actuated at 0 seconds, or before inhalation, corresponding to a flow rate of 0 L/min at the inlet, the emitted dose lacks sufficient airflow to transport it through the inlet, causing it to stagnate or rebound. This results in a loss of formulation into the surrounding air, which can sometimes be observed as a visible cloud of formulation escaping from the top of the device. In contrast, when the pMDI is actuated into a spacer at 0 L/min flow, the aerosol is captured within the spacer chamber. As airflow increases, this dose is subsequently delivered into the NGI, improving mass balance and dose delivery efficiency.

    For FP, the use of a VHC significantly improved the deposition of 1–5 µm particles when the inhalation started at actuation, although still not reaching the level when inhalation was initiated before actuation. In contrast, for CIC, the VHC improved deposition of 1–5 µm particles to a level comparable to that achieved with correctly coordinated inhalation, as indicated by the overlapping 95% confidence intervals (Table 1). A comparison of Figures 1 and 2 reveals that within the 1–5 µm range, the mass of CIC particles was on average more concentrated toward smaller particles compared to FP. This difference in particle size may explain why the VHC provided greater protection for CIC against inhalation and actuation discoordination. This is further supported by previous findings showing that the MMAD of FP pMDI is larger than that of CIC pMDI.3

    Only a few percent of the label claim for FP were deposited as particles smaller than 1 µm, and the inhalation delay appeared to have no clear effect on these. However, the 95% confidence interval for the mean of measurements with inhalation initiated before actuation was too wide to draw a definitive conclusion about its effect (Table 1). The use of a VHC slightly improved the deposition of FP particles under 1 µm. In contrast, for CIC, the deposition of sub-1 µm particles improved substantially with both the use of a VHC and the early initiation of inhalation. We believe that this is also related to the average particle size within the sub-1 µm particle range, which differed between FP and CIC. Specifically, within the sub-1 µm range, CIC particles were, on average, smaller than FP particles, as illustrated in Figures 1 and 2.

    Previous studies have highlighted the impact of delayed inhalation on drug delivery efficiency when using pMDIs with VHCs. For example, Berlinski and Pennington reported that a 10-second delay following actuation led to a significant reduction (between 27% and 42%) in the fine particle fraction of albuterol across several VHC devices.15 Similarly, Chambers et al found that certain VHC designs, particularly those with smaller volumes or lacking valves, were more prone to dose loss when a delay was introduced during use of a budesonide–formoterol combination inhaler.16 Although these studies offer important evidence on the role of timing and chamber design, their methodologies differed from ours in several ways. Notably, they did not include physiologically realistic throat models or incorporate breathing profiles that reflect actual patient inhalation patterns. Furthermore, solution-based inhaled corticosteroids and direct comparisons between solution and suspension formulations were not examined, limiting their relevance to the full range of available ICS therapies.

    Although recommendations state that ICS delivery from pMDIs should ideally be performed with a VHC, this guidance is often overlooked.6 It has also been suggested that the delivery of drugs with small MMADs, such as CIC pMDI, may be reliably achieved even without a VHC if the inhalation technique is correct.18 However, studies indicate that up to 25% of adults use incorrect inhalation timing.14 It is also important to note that the commonly recommended inhalation time of 3–5 seconds is already long and challenging, so asking patients to extend it further just to avoid using a VHC is not practical. If inhalation begins too early, there may not be enough time to fully inhale the medication, as the lungs will already be full. This could also introduce additional technique-related issues for certain patients, such as those with obstructive pulmonary disease, neuromuscular disorders and the elderly. Given these factors, can we truly claim that the use of a VHC is unnecessary?

    We employed the NGI cascade impactor, a widely used pharmaceutical tool for characterising aerosol particle size distribution. The MMAD and GSD values obtained in our study align with previously reported data for both FP and CIC delivered by pMDI.3,19 We noted that CIC’s GSD increased slightly in the setup where inhalation started at actuation without using a VHC (GSD = 2.11), suggesting a broader particle distribution under less optimal timing conditions. Importantly, the low standard deviations across all replicates reflect good reproducibility.

    The use of an anatomical throat model enabled a more precise simulation of airway conditions, facilitating accurate throat deposition estimation. The integration of a breathing simulator further enhanced the realism of our setup by closely mimicking real inhalation conditions. The EasyChamber VHC was selected based on its reliable performance in our previous studies, which enabled us to accurately assess the effects of VHCs under ideal conditions. A significant advantage of our in vitro approach was the ability to control for variables that could confound results in in vivo studies, allowing us to focus solely on the variables of interest.

    We used an adult throat model, which may not accurately reflect the conditions of a child’s throat. Likewise, the breathing pattern used in our experiments was representative of adult breathing and may not mirror pediatric breathing patterns. Therefore, our findings may not be directly applicable to children. Additionally, since we only tested one VHC and two medications, the results may not be fully generalizable to other devices or drugs. A broader limitation of in vitro studies is their inability to fully replicate the complexity of human organ systems and physiological environments.

    In conclusion, initiating inhalation simultaneously with pMDI actuation, a common mistake in real life, reduces the delivered dose of FP and CIC compared to when inhalation is started before actuation. The use of a VHC effectively mitigates this issue, ensuring a higher and more consistent medication dose is delivered, even when actuation timing is suboptimal. This effect was especially pronounced for CIC pMDI, which has a smaller MMAD and may be more sensitive to variations in inhalation technique. Given that correct inhaler use is often challenging in everyday practice and only the medication that actually reaches the lungs can help, it is important to encourage the use of valved holding chambers (VHCs) not just for children but also for adults.

    While our results provide mechanistic insight into how inhalation timing and device configuration influence aerosol delivery, they are based on laboratory simulations and do not directly reflect clinical outcomes. Therefore, larger real-world clinical studies are needed to confirm whether the improved drug delivery observed with VHC use in vitro translates into better asthma control, adherence, and health outcomes in diverse patient populations.

    Abbreviations

    APSD, Aerodynamic Particle Size Distribution; CIC, Ciclesonide; FP, Fluticasone Propionate; ICS, Inhaled Corticosteroid; MMAD, Mass Median Aerodynamic Diameter; NGI, Next Generation Impactor; pMDI, Pressurized Meter-Dosed Inhaler; VHC, Valved Holding Chamber.

    Data Sharing Statement

    Data collected for the study, along with a data dictionary defining each field in the set, will be made available following publication, pending approval of a proposal and a signed data access agreement. All data requests should be submitted to the corresponding author for consideration.

    Generative Artificial Intelligence

    AI technology (ChatGTP) was utilized solely for grammar and language refinement in this submission. No AI was used for data analysis, content generation, or research interpretation. The purpose of AI involvement was to ensure clarity and grammatical accuracy while maintaining the original meaning and integrity of the work.

    Author Contributions

    All authors made a significant contribution to the work reported, whether that is in the conception, study design, execution, acquisition of data, analysis and interpretation, or in all these areas; took part in drafting, revising or critically reviewing the article; gave final approval of the version to be published; have agreed on the journal to which the article has been submitted; and agree to be accountable for all aspects of the work.

    Funding

    The study was supported by unrestricted grants from the following sources: Research Foundation of the Pulmonary Diseases (Hengityssairauksien tutkimussäätiö), Tampere Tuberculosis Foundation (Tampereen Tuberkuloosisäätiö), Finnish Medical Foundation (Suomen Lääketieteen säätiö), and Jalmari and Rauha Ahokkaan Foundation (Jalmari ja Rauha Ahokkaan säätiö). The funders of the study had no role in study design, data collection, data analysis, data interpretation, or writing of the report.

    Disclosure

    Professor Lauri Lehtimäki reports personal fees from ALK, AstraZeneca, Berlin Chemie, Boehringer Ingelheim, Chiesi, GSK, Menarini, Novartis, Orion, Sanofi, outside the submitted work. The authors declare no other competing interests related to the manuscript content.

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    2. Xu X, Ong Q, Mao T, et al. Experimental method to distinguish between a solution and a suspension. Adv Mater Interfaces. 2022;9(19):2200600. doi:10.1002/admi.202200600

    3. Leach C, Colice GL, Luskin A. Particle size of inhaled corticosteroids: does it matter? J Allergy Clin Immunol. 2009;124(6):S88–S93. doi:10.1016/j.jaci.2009.09.050

    4. Laube BL, Janssens HM, De Jongh FHC, et al. What the pulmonary specialist should know about the new inhalation therapies. Eur Respir J. 2011;37(6):1308–1331. doi:10.1183/09031936.00166410

    5. Jabbal S, Poli G, Lipworth B. Does size really matter?: relationship of particle size to lung deposition and exhaled fraction. J Allergy Clin Immunol. 2017;139(6):2013–2014.e1. doi:10.1016/j.jaci.2016.11.036

    6. 2024 GINA Main Report. Global Initiative for Asthma – GINA. Available from: https://ginasthma.org/2024-report/. Accessed May 28, 2024.

    7. McIvor RA, Devlin HM, Kaplan A. Optimizing the delivery of inhaled medication for respiratory patients: the role of valved holding chambers. Can Respir J. 2018;2018:5076259. doi:10.1155/2018/5076259

    8. Dissanayake S, Suggett J. A review of the in vitro and in vivo valved holding chamber (VHC) literature with a focus on the AeroChamber Plus Flow-Vu Anti-static VHC. Ther Adv Respir Dis. 2018;12:1753465817751346. doi:10.1177/1753465817751346

    9. Csonka P, Lehtimäki L. Valved holding chamber drug delivery is dependent on breathing pattern and device design. ERJ Open Res. 2019;5(1):00158–02018. doi:10.1183/23120541.00158-2018

    10. Csonka P, Lehtimäki L. In vitro drug delivery performance of five valved holding chambers with and without facemasks. Pediatr Pulmonol. 2019;54(9):1457–1465. doi:10.1002/ppul.24425

    11. Barry PW, O’Callaghan C. In vitro comparison of the amount of salbutamol available for inhalation from different formulations used with different spacer devices. Eur Respir J. 1997;10(6):1345–1348. doi:10.1183/09031936.97.10061345

    12. Usmani OS, Lavorini F, Marshall J, et al. Critical inhaler errors in asthma and COPD: a systematic review of impact on health outcomes. Respir Res. 2018;19(1):10. doi:10.1186/s12931-017-0710-y

    13. Gleeson PK, Feldman S, Apter AJ. Controller inhalers: overview of devices, instructions for use, errors, and interventions to improve technique. J Allergy Clin Immunol Pract. 2020;8(7):2234–2242. doi:10.1016/j.jaip.2020.03.003

    14. Price DB, Román-Rodríguez M, McQueen RB, et al. Inhaler errors in the CRITIKAL study: type, frequency, and association with asthma outcomes. J Allergy Clin Immunol Pract. 2017;5(4):1071–1081.e9. doi:10.1016/j.jaip.2017.01.004

    15. Berlinski A, Pennington D. Effect of interval between actuations of albuterol hydrofluoroalkane pressurized metered-dose inhalers on their aerosol characteristics. Respir Care. 2017;62(9):1123–1130. doi:10.4187/respcare.05528

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  • National Heart Centre introduces test for faster diagnosis of heart conditions in active people

    National Heart Centre introduces test for faster diagnosis of heart conditions in active people

    SINGAPORE – Active individuals will be able to get a faster diagnosis of potentially life-threatening or serious heart conditions with an imaging test introduced by the National Heart Centre Singapore (NCHS), a first in Asia.

    Exercise Cardiac Magnetic Resonance (ExCMR) imaging combines magnetic resonance imaging (MRI) with real-time exercise to detect underlying heart conditions, distinguishing them from normal changes brought about by exercise, in just one session.

    An MRI is a diagnostic test that uses magnetic fields and radio waves to create detailed images of the body’s internal structures, including organs.

    Introduced by NHCS as a research project in 2017, ExCMR involves a specially designed stationary bike that is attached to an MRI scanner.

    It costs about $200 more than a conventional MRI test for subsidised patients and about $500 more for private patients, said NHCS.

    During the test on the stationary bike, patients pedal at set intervals while doctors observe how the heart performs during exercise, capturing detailed images of the heart’s structure, function and blood flow, NHCS said in a statement on Aug 27.

    “Unlike conventional tests that often require weeks or even months of several separate assessments, ExCMR provides fast and accurate results in a single visit,” it said.

    Each ExCMR session will take about 15 to 20 minutes longer than a conventional MRI, which takes about an hour to complete.

    Faster diagnosis, cost savings for patients

    Assistant Professor Michelle Kui, a consultant with the NHCS, said patients suspected of having an enlarged heart following an echocardiogram can be referred for additional tests to confirm if it is due to exercise or something more serious, such as a genetic disorder affecting the heart muscles.

    She added that this would traditionally be followed by additional tests such as an MRI and a treadmill test. Patients can also be asked to restrict their activities for a few months, then undergo tests again before a diagnosis is confirmed.

    With the ExCMR, doctors will be able to pinpoint the cause sooner.

    “If it’s a healthy heart, the patient can continue to compete,” she said. “There is no need to restrict any activities and no need to repeat scans. If it’s a serious condition, he or she will get treatment early.”

    NHCS said: “Research has shown that ExCMR significantly reduces the need for patients to undergo multiple tests by nearly 90 per cent, from 56.8 per cent to just 6.5 per cent.”

    “This not only ensures timely diagnosis and earlier treatment for patients but also translates into significant cost savings for patients and healthcare systems in the long run.”

    More than 600 participants were studied to refine and validate the test, said NHCS.

    It was progressively rolled out in 2020 as an alternative stress MRI, and has since been used on about 400 patients.

    One such patient is former national footballer Adam Swandi.

    Adam, 28, experienced dizziness and chest tightness during a match in September 2024. He was referred for ExCMR after cardiac tests suggested he had cardiomyopathy, a form of heart muscle disease.

    The test confirmed his diagnosis and revealed that he was at high risk of a fatal cardiac event if he continued to play football competitively.

    “The ExCMR helped my doctors and me gain a clearer picture of my condition,” he said. “The detailed indicators pointed to the most effective next steps in my treatment journey.”

    He was referred for treatment and subsequently retired from the sport.

    Assistant Professor Le Thu Thao, who leads the ExCMR research programme, said a more accurate assessment will allow active individuals to “continue sports safely where appropriate, while those at risk are identified more quickly to receive timely intervention”.

    Safety in sport has been much discussed in recent years following sudden deaths in football and endurance events.

    In 2024 and 2025, there have been at least four instances of footballers collapsing on the pitch and dying as a result of a cardiac event. This includes a 27-year-old Uruguayan player during a Copa Libertadores game and two promising teenage players, a 14-year-old in France and a 13-year-old in Britain.

    In Singapore, three people have died during or following the country’s premier distance running event – the Standard Chartered Singapore Marathon.

    Two of them were due to cardiac causes. And several other endurance events have also had fatalities.

    ‘Game changer’

    Associate Professor Calvin Chin, senior consultant and clinician scientist at NHCS, called the ExCMR a “game changer”.

    The NHCS said it aims to expand its capacity to 100 patients a year. Active individuals can get referrals to take the test through cardiologists from both public and private healthcare institutions.

    “Initially applied to distinguish between an athlete’s heart and dilated cardiomyopathy, ExCMR is now being extended to patients with suspected coronary artery disease and other heart conditions,” it said.

    Source: The Straits Times © SPH Media Limited. Permission required for reproduction

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