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A comprehensive characterisation of patients diagnosed with post-COVID-19 condition in Sweden 16 months after the introduction of the ICD-10 diagnosis code (U09.9): a population-based cohort study.
Bygdell, Maria; Leach, Susannah; Lundberg, Lisa; Gyll, David; Martikainen, Jari; Santosa, Ailiana; Li, Huiqi; Gisslén, Magnus; Nyberg, Fredrik.
  • Bygdell M; Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, the Sahlgrenska Academy, University of Gothenburg, 413 45 Gothenburg, Sweden; School of Public Health and Community Medicine, Institute of Medicine, the Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sw
  • Leach S; Department of Microbiology and Immunology, Institute of Biomedicine, the Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden; Region Västra Götaland, Department of Clinical Pharmacology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
  • Lundberg L; Department of Microbiology and Immunology, Institute of Biomedicine, the Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden; Region Västra Götaland, Department of Clinical Pharmacology, Sahlgrenska University Hospital, 413 45 Gothenburg, Sweden.
  • Gyll D; Region Uppsala, Svartbäcken primary care, 750 16 Uppsala, Sweden.
  • Martikainen J; Bioinformatics and Data Centre, the Sahlgrenska Academy, University of Gothenburg, 413 90 Gothenburg, Sweden.
  • Santosa A; School of Public Health and Community Medicine, Institute of Medicine, the Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
  • Li H; School of Public Health and Community Medicine, Institute of Medicine, the Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
  • Gisslén M; Department of Infectious Diseases, Institute of Biomedicine, the Sahlgrenska Academy, University of Gothenburg, 416 85 Gothenburg, Sweden; Region Västra Götaland, Department of Infectious Diseases, Sahlgrenska University Hospital, 416 85 Gothenburg, Sweden.
  • Nyberg F; School of Public Health and Community Medicine, Institute of Medicine, the Sahlgrenska Academy, University of Gothenburg, 405 30 Gothenburg, Sweden.
Int J Infect Dis ; 2022 Nov 18.
Article in English | MEDLINE | ID: covidwho-2239458
ABSTRACT

BACKGROUND:

The objective of this study was to provide a comprehensive characterisation of patients diagnosed with post-COVID-19 condition (PCC) during the first 16 months of usage of the International Classification of Diseases revision 10 (ICD-10) diagnosis code U09.9 in Sweden.

METHODS:

We used data from national registers and primary healthcare databases for all adult inhabitants of the two largest regions in Sweden, comprising 4.1 million inhabitants (approximately 40% of the Swedish population). We present the cumulative incidence and incidence rate of PCC overall and among subgroups and describe COVID-19 patients with or without PCC regarding sociodemographic characteristics, comorbidities, subsequent diseases, COVID-19 severity, and virus variants.

FINDINGS:

Of all registered COVID-19 cases available for PCC diagnosis (n=506,107), 2.0% (n=10,196) had been diagnosed with PCC using ICD-10 code U09.9 as of 15 February 2022 in the two largest regions in Sweden. The cumulative incidence was higher among women compared to men (2.3% vs 1.6%, p<0.001). The majority of PCC cases (n=7,162, 70.2%) had not been hospitalised for COVID-19. This group was more commonly female (69.9% vs 52.9%, p<0.001), had a tertiary education (51.0% vs 44.1%, p<0.001), and was older (median age difference 5.7 years, p<0.001) compared to non-hospitalised COVID-19 patients without PCC.

INTERPRETATION:

This characterisation furthers the understanding of patients diagnosed with PCC and could support policymakers with appropriate societal and healthcare resource allocation.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid / Variants Language: English Journal subject: Communicable Diseases Year: 2022 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Observational study / Prognostic study Topics: Long Covid / Variants Language: English Journal subject: Communicable Diseases Year: 2022 Document Type: Article