Project: Improving the accuracy of asthma diagnosis in clinical practice Early Career Researcher overview Project: Improving the accuracy of asthma diagnosis in clinical practice Based at: University of Edinburgh Email: Luke.daines@ed.ac.uk Image Asthma UK Centre for Applied Research Clinical Research Fellow, Luke Daines Luke’s current research seeks to improve the accuracy with which a diagnosis of asthma can be made in clinical practice. He was awarded a Chief Scientist Office Clinical Academic Fellowship (2017) for “deriving and validating a clinical prediction rule for the diagnosis of asthma in primary care”. The asthma diagnosis prediction model was developed into a Clinical Decision Support System in collaboration with Optimum Patient Care and Tactuum in a project funded by Asthma UK / Innovate UK (2018). He is now exploring the potential for natural language processing to support the diagnosis and early detection of asthma (and other respiratory diseases) using free text held in primary care records. About me Dr Luke Daines graduated from the University of Edinburgh with MBChB in 2010. During his medical studies, he completed an intercalated BSc in Anatomical Sciences at Bristol University. Completing his GP training in 2015, Luke joined the University of Edinburgh as an Academic Clinical Fellow in General Practice. During his first year he completed a qualitative study exploring patient views on supported self-management for asthma, part of the IMP2ART programme of work. Luke contributed to the diagnosis chapter of the British Thoracic Society / Scottish Intercollegiate Guideline Network asthma guideline in 2016. His interest in asthma diagnosis was further developed during a Master’s in Public Health (2016/17) when he completed a travel fellowship at the Technical University of Munich to investigate the importance of alternative reference standards in evaluating diagnostic tests for asthma. Alongside his academic commitments, Luke works as a GP for Murieston Medical Practice. Luke completed his PhD through the Centre. Read his student profile for details of his PhD project: Luke's PhD profile Publications Canny, A, Donaghy, E, Murray, V, et al. Patient views on asthma diagnosis and how a clinical decision support system could help: a qualitative study. Health Expect. 2022; 1- 11. doi:10.1111/hex.13657 Evans RA, McAuley H, Harrison EM, Shikotra A, Singapuri A, Sereno M, Elneima O, Docherty AB, Lone NI, Leavy OC, Daines L, Baillie JK, Brown JS, Chalder T, De Soyza A, Diar Bakerly N, Easom N, Geddes JR, Greening NJ, Hart N, Heaney LG, Heller S, Howard L, Hurst JR, Jacob J, Jenkins RG, Jolley C, Kerr S, Kon OM, Lewis K, Lord JM, McCann GP, Neubauer S, Openshaw PJM, Parekh D, Pfeffer P, Rahman NM, Raman B, Richardson M, Rowland M, Semple MG, Shah AM, Singh SJ, Sheikh A, Thomas D, Toshner M, Chalmers JD, Ho LP, Horsley A, Marks M, Poinasamy K, Wain LV, Brightling CE; PHOSP-COVID Collaborative Group. Physical, cognitive, and mental health impacts of COVID-19 after hospitalisation (PHOSP-COVID): a UK multicentre, prospective cohort study. Lancet Respir Med. 2021 Oct 7:S2213-2600(21)00383-0. doi: 10.1016/S2213-2600(21)00383-0 Adeloye D, Elneima O, Daines L, Poinasamy K, Quint JK, Walker S, Brightling CE, Siddiqui S, Hurst JR, Chalmers JD, Pfeffer PE, Novotny P, Drake TM, Heaney LG, Rudan I, Sheikh A, De Soyza A; International COVID-19 Airways Diseases Group. The long-term sequelae of COVID-19: an international consensus on research priorities for patients with pre-existing and new-onset airways disease. Lancet Respir Med. 2021 Aug 17:S2213-2600(21)00286-1. doi: 10.1016/S2213-2600(21)00286-1. Adeloye D, Elneima O, Daines L, Poinasamy K. et al., Global research priorities to address the long-term respiratory effects of COVID-19. Lancet Respiratory Medicine (In Press) ERS International Congress 2020: Highlights from the General Pneumology Assembly Luke Daines, Joren Buekers, Beatriz Abascal Bolado, Janwillem W. H. Kocks, Guido Vagheggini, Vitalii Poberezhets, Ioannis Vogiatzis, Hilary Pinnock, Lowie E. G. W. Vanfleteren. ERJ Open Research Jan 2021, 00841-2020; DOI: 10.1183/23120541.00841-2020 Kellerer C, Wagenpfeil S, Daines L, Jörres RA, Hapfelmeier A, Schneider A. Diagnostic accuracy of FeNO [fractional exhaled nitric oxide] and asthma symptoms increased when evaluated with a superior reference standard. J Clin Epidemiol. 2021 Jan;129:86-96. doi: 10.1016/j.jclinepi.2020.09.021. Epub 2020 Oct 8. PMID: 33038543. Daines L, Bonnett LJ, Boyd A, Turner S, Lewis S, Sheikh A, Pinnock H. Protocol for the derivation and validation of a clinical prediction model to support the diagnosis of asthma in children and young people in primary care. Wellcome Open Res. 2020 Mar 24;5:50. doi: 10.12688/wellcomeopenres.15751.1. PMID: 32724862; PMCID: PMC7364181. Daines L, Lewis S, Schneider A, et al. Defining high probability when making a diagnosis of asthma in primary care: mixed-methods consensus workshop. BMJ Open 2020;10:e034559. doi: 10.1136/bmjopen-2019-034559 Daines L, Morrow S, Wiener-Ogilvie S, Scott C, Steed L, Taylor SJ, Pinnock H. Understanding how patients establish strategies for living with asthma: a qualitative study in UK primary care as part of IMP2ART. Br J Gen Pract. 2020 Apr 30;70(694):e303-e311. doi: 10.3399/bjgp20X708869. PMID: 32205333; PMCID: PMC7101272. Akindele A, Daines L, Cavers D, Pinnock H, Sheikh A. Qualitative study of practices and challenges when making a diagnosis of asthma in primary care. NPJ Prim Care Respir Med. 2019;29(1):27. Published 2019 Jul 17. doi:10.1038/s41533-019-0140-z Daines, L., McLean, S., Buelo, A. et al. Systematic review of clinical prediction models to support the diagnosis of asthma in primary care. npj Prim. Care Respir. Med. 29, 19 (2019). doi: 10.1038/s41533-019-0132-z Morrow S, Daines L, Wiener-Ogilvie S, Steed L, McKee L, Caress AL, Taylor SJC, Pinnock H. Exploring the perspectives of clinical professionals and support staff on implementing supported self-management for asthma in UK general practice: an IMP2ART qualitative study. NPJ Prim Care Respir Med. 2017 Jul 18;27(1):45. doi: 10.1038/s41533-017-0041-y. PMID: 28720751; PMCID: PMC5515882. Hanlon P, Daines L, Campbell C, McKinstry B, Weller D, Pinnock H. Telehealth Interventions to Support Self-Management of Long-Term Conditions: A Systematic Metareview of Diabetes, Heart Failure, Asthma, Chronic Obstructive Pulmonary Disease, and Cancer. J Med Internet Res. 2017 May 17;19(5):e172. doi: 10.2196/jmir.6688. PMID: 28526671; PMCID: PMC5451641. Pinnock, H., Parke, H.L., Panagioti, M. et al. Systematic meta-review of supported self-management for asthma: a healthcare perspective. BMC Med 15, 64 (2017). doi: 10.1186/s12916-017-0823-7 Daines L, McMurray A. Asthma in children. InnovAiT. 2017;10(1):5-14. doi: 10.1177/1755738016678013 Follow Luke Luke's Twitter Profile Luke's ResearchGate Profile This article was published on 2024-09-24