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Introduction: The diagnosis of asthma is often based on characteristic patterns of symptoms in the absence of an alternative explanation, resulting in over and under diagnosis. Therefore, diagnostic guidelines usually recommend including confirmation of variable airflow obstruction. Some recommend using a sequence of objective tests; however the tests used, the specific cut-off values and the specified order are yet to be validated. We aimed to determine the optimal cut-off values and series of investigations to diagnose asthma. We also explore the potential for novel tests of small airways function and biomarkers, which could be incorporated into future diagnostic pathways.
Methods And Analysis: The Rapid Access Diagnostics for Asthma study is an observational study of 300 symptomatic patients with 'clinician-suspected asthma' and healthy controls (aged ≥3 to <70 years), recruited from primary and secondary care in Greater Manchester, UK. Symptomatic participants will undergo four core visits and one optional visit. Participants will complete two baseline visits and undergo a series of established (spirometry, bronchodilator reversibility, exhaled nitric oxide, home peak flow monitoring and bronchial challenge testing) and novel tests. Following visit 2, participants will receive monitored medium-dose inhaled corticosteroid therapy for 6-8 weeks, after which they will return for repeat testing. Patients will be diagnosed with asthma by 'expert panel' opinion (minimum two respiratory specialists) on review of all data (excluding novel tests) pre and post treatment. Healthy controls will attend two visits to establish reference intervals and calculate repeatability coefficients for novel tests where there is a lack of evidence on what threshold constitutes a 'normal' set of values. The primary end point is to determine the optimum diagnostic pathway for diagnosing asthma.
Ethics And Dissemination: The study was approved by Greater Manchester East Research Ethics Committee (18/NW/0777). All participants or parents/guardians are required to provide written informed consent and children to provide written assent. The results will be published in peer-review journals and disseminated widely at conferences and with the help of Asthma and Lung UK (www.asthmaandlung.org.uk).
Trial Registration Number: ISRCTN11676160.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11529473 | PMC |
http://dx.doi.org/10.1136/bmjopen-2024-083908 | DOI Listing |
Int J Technol Assess Health Care
September 2025
Evidence Synthesis Group, Population Health Sciences Institute, Faculty of Medical Sciences, https://ror.org/01kj2bm70Newcastle University, Newcastle upon Tyne, UK.
Objectives: The National Institute for Health and Care Excellence (NICE) in England introduced early value assessments (EVAs) as an evidence-based method of accelerating access to promising health technologies that could address unmet needs and contribute to the National Health Service's Long Term Plan. However, there are currently no published works considering differences and commonalities in methods used between Assessment Reports for EVAs.
Methods: This rapid scoping review included all completed EVAs published on the NICE website up to 23 July 2024.
Int J Med Inform
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Department of Health Information Sciences, Faculty of Management and Medical Information Sciences, Kerman University of Medical Sciences, Kerman, Iran.
Background And Objective: The rapid advancement of technology has made eHealth a vital part of modern healthcare. Electronic Health Records (EHRs), as core tools of eHealth, enhance care quality, enable access to medical data, and improve coordination among healthcare providers. Implementing EHRs successfully requires understanding the challenges and facilitators involved to inform effective policymaking and management.
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Department of Cardiology, Fiona Stanley Hospital, Perth, WA, Australia; Harry Perkins Institute of Medical Research, Perth, WA, Australia; Medical School, The University of Western Australia, Perth, WA, Australia; Victor Chang Cardiac Research Institute, Sydney, NSW, Australia. Electronic address: g
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Institute of Medical Microbiology, University of Zurich, Zurich, Switzerland; ESCMID study group on Molecular Diagnostics and Genomics. Electronic address:
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U.O.C. Ematologia e Terapia Cellulare, IRCCS Istituto Tumori "Giovanni Paolo II", Bari, Italy.
Artificial intelligence is revolutionizing health care, particularly in precision medicine and noninvasive diagnostics. Anemia, which is a widespread condition that affects billions of people worldwide, compromises oxygen transport due to low hemoglobin levels, which leads to severe complications if left undetected. Early and frequent monitoring is essential, yet traditional blood tests can be invasive, costly, and impractical for continuous assessment.
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