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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
Institute for Molecular Medicine, FIMM, University of Helsinki, Helsinki, Finland; Massachusetts General Hospital Center for Genomic Medicine, Boston, Massachusetts, USA; Department of Anesthesia, Critical Care and Pain Medicine, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA; Broad Institute, Cambridge, Massachusetts, USA.ORCID-id: 0000-0002-5302-6429
Umeå universitet, Medicinska fakulteten, Institutionen för klinisk mikrobiologi.ORCID-id: 0000-0002-0253-5928
Centre for Fertility and Health, Norwegian Institute of Public Health, Oslo, Norway.ORCID-id: 0000-0003-2591-8435
Umeå universitet, Medicinska fakulteten, Institutionen för klinisk mikrobiologi.
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2024 (Engelska)Ingår i: BMJ Public Health, E-ISSN 2753-4294, Vol. 2, nr 1, artikel-id e000336Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

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.

Ort, förlag, år, upplaga, sidor
BMJ Publishing Group Ltd, 2024. Vol. 2, nr 1, artikel-id e000336
Nationell ämneskategori
Infektionsmedicin
Identifikatorer
URN: urn:nbn:se:umu:diva-224009DOI: 10.1136/bmjph-2023-000336OAI: oai:DiVA.org:umu-224009DiVA, id: diva2:1856195
Forskningsfinansiär
Norges forskningsråd, 262700Finlands Akademi, 340539Vetenskapsrådet, 2021-06536Region Västerbotten, RV-967545Region Västerbotten, RV-967783Tillgänglig från: 2024-05-06 Skapad: 2024-05-06 Senast uppdaterad: 2024-05-06Bibliografiskt granskad

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Fonseca Rodriguez, OsvaldoKalucza, SebastianNormark, JohanEriksson, MarieFors Connolly, Anne-Marie

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Ollila, Hanna MFonseca Rodriguez, OsvaldoCaspersen, Ida HenrietteKalucza, SebastianNormark, JohanRod, Naja HulvejEriksson, MarieFors Connolly, Anne-Marie
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Institutionen för klinisk mikrobiologiImmunologi/immunkemiStatistikInfektionssjukdomar
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