ArticleBMJ public health2024
How do clinicians use post-COVID syndrome diagnosis? Analysis of clinical features in a Swedish COVID-19 cohort with 18 months' follow-up: a national observational cohort and matched cohort study.
Article in BMJ public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- Incidence, risk factors and sequelae of long/post-COVID in people with diabetes compared to people without diabetes in Germany (longcovid-diab): a study protocol.Cardiovascular diabetology · 2026Article
- Association of pre-pandemic respiratory system diseases with long COVID: a population-based case-control study.BMC infectious diseases · 2026Article
- German nationwide inpatient data on the post-COVID-19 syndrome: an update.Frontiers in public health · 2026Article
- Preexisting symptoms increase the risk of developing long COVID during the SARS-CoV-2 pandemic.Journal of internal medicine · 2025Observational
- Using machine learning involving diagnoses and medications as a risk prediction tool for post-acute sequelae of COVID-19 (PASC) in primary care.BMC medicine · 2025Article
- Long COVID and its risk factors in migrants: a nationwide register study from Sweden.BMC medicine · 2025Article
- Adaptation of the WHO COVID-19 Clinical Progression Scale for Registry-Based Data: A Whole-Population Study in Sweden.Clinical epidemiology · 2025Article
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Abstract
Introduction: SARS-CoV-2 infection causes acute COVID-19 and may result in post-COVID syndrome (PCS). We aimed to investigate how clinicians diagnose PCS and identify associated clinical and demographic characteristics. Methods: We analysed multiregistry data of all SARS-CoV-2 test-positive individuals in Sweden (n=1 057 174) between 1 February 2020 and 25 May 2021. We described clinical characteristics that prompt PCS diagnosis in outpatient and inpatient settings. In total, there were 6389 individuals with a hospital inpatient or outpatient diagnosis for PCS. To understand symptomatology, we examined individuals diagnosed with PCS at least 3 months after COVID-19 onset (n=6389) and assessed factors associated with PCS diagnosis. Results: Mechanical ventilation correlated with PCS (OR 114.7, 95% CI 105.1 to 125.3) compared with no outpatient/inpatient contact during initial COVID-19. Dyspnoea (13.4%), malaise/fatigue (8%) and abnormal pulmonary diagnostic imaging findings (4.3%) were the most common features linked to PCS. We compared clinical features of PCS with matched controls (COVID-19 negative, n=23 795) and COVID-19 severity-matched patients (COVID-19 positive, n=25 556). Hypertension associated with PCS cohort (26.61%) than in COVID-19-negative (OR 17.16, 95% CI 15.23 to 19.3) and COVID-19-positive (OR 9.25, 95% CI 8.41 to 10.16) controls, although most individuals received this diagnosis before COVID-19. Dyspnoea was the second most common feature in the PCS cohort (17.2%), and new to the majority compared with COVID-19-negative (OR 54.16, 95% CI 42.86 to 68.45) and COVID-19-positive (OR 18.7, 95% CI 16.21 to 21.57) controls. Conclusions: Our findings highlight factors Swedish physicians associate with PCS.
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