| アブストラクト | BACKGROUND: In patients with cancer, diagnosis through or soon after the use of emergency hospital care ('emergency diagnosis') is associated with advanced disease and poor prognosis. The varied and complex reasons for emergency diagnoses-including rapid disease progression, patient factors, and system delays-are unlikely to be unique to cancer. However, little is known about the frequency and prognostic outcomes of emergency diagnosis in other conditions. We aimed to document the frequency of emergency diagnoses across various non-neoplastic conditions and examine the association of emergency diagnosis with clinical outcomes. METHODS AND FINDINGS: We analysed records from linked primary care, secondary care, and death data (Clinical Practice Research Datalink (CPRD), Hospital Episode Statistics, Office for National Statistics) for 1,701,154 patients with one of 13 exemplar conditions (axial spondyloarthritis, coeliac disease, coronary/ischaemic heart disease, chronic obstructive pulmonary disease (COPD), inflammatory bowel disease (IBD), Lyme disease, multiple sclerosis (MS), Parkinson's disease, polycystic ovary syndrome, rheumatoid arthritis, schizophrenia, subacute bacterial endocarditis, and tuberculosis) in England between 1999 and 2019. We examined the percentage of patients diagnosed as an emergency and compared their mortality and time in hospital in the year post-diagnosis with patients who were not diagnosed as an emergency. Emergency diagnosis occurred in at least 20% of patients for 9 out of 13 conditions in our sample, including more than 30% of patients with Parkinson's disease and 35% of patients with COPD. For 9 out of 13 conditions, there was a substantial increase (at least +10% difference) in 1-year mortality in patients diagnosed as an emergency versus patients who were not diagnosed as an emergency. After adjusting for age and year of diagnosis, deprivation, comorbidity burden, and the healthcare setting in which the diagnosis was made, patients diagnosed as an emergency were typically much more likely to die within one year. This association held even in conditions with generally good prognosis, such as coeliac disease (adjusted odds ratio 7.53, 95% CI [5.64, 10.1], women) and IBD (adjusted odds ratio 5.99, 95% CI [5.30, 6.78], men). Similarly large differences were observed for time in hospital in the year post-diagnosis by emergency diagnosis status. For example, adjusted rate ratios of 8.76 (95% CI [6.52, 11.8]) for men with coeliac disease, and 5.59 (95%CI [2.57, 12.2]) for women diagnosed with Lyme disease. The findings were consistent across two subsets of CPRD data (Aurum, GOLD). Analyses of patients with five supplementary cancer sites (brain, colon, lung, pancreas, and ovary) produced findings concordant with prior literature, supporting the validity of the study methods. The main study limitation is the assumption of accurate recording of diagnoses in health records. CONCLUSIONS: Emergency diagnosis is common and associated with worse clinical outcomes in a wide range of conditions with diverse aetiology. Further research and investment to reduce the number of emergency diagnoses is needed, particularly for diseases where diagnosis in community settings should be expected (e.g., rheumatoid arthritis and COPD), and conditions such as coeliac disease, IBD, and MS, where emergency diagnosis is associated with particularly poor outcomes. |
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| 投稿者 | Whitfield, Emma; White, Becky; Barclay, Matthew E; Rafiq, Meena; Zakkak, Nadine; Berglund, Marta; Singh, Hardeep; McPhail, Sean; Denaxas, Spiros; Lyratzopoulos, Georgios |
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| 組織名 | ECHO (Epidemiology of Cancer Healthcare & Outcomes), Department of Behavioural;Science and Health, Institute of Epidemiology and Health Care, UCL (University;College London), London, United Kingdom.;Department of General Practice and Primary Care, University of Melbourne,;Melbourne, Australia.;Cancer Intelligence, Cancer Research UK, London, United Kingdom.;Safety, Quality & Well-Being Institute, Houston Methodist, Houston, Texas, United;States of America.;National Disease Registration Service, NHS England, Leeds, United Kingdom.;Institute of Health Informatics, UCL, London, United Kingdom.;Interdisciplinary Transformation University, Linz, Austria.;Health Data Research UK, London, United Kingdom.;UCL Hospitals Biomedical Research Centre, London, United Kingdom.;British Heart Foundation Data Science Centre, London, United Kingdom. |
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