A comprehensive characterization of patients diagnosed with post-COVID-19 condition in Sweden 16 months after the introduction of the International Classification of Diseases Tenth Revision diagnosis code (U09.9): a population-based cohort study
Objectives: The objective of this study was to provide a comprehensive characterization of patients diagnosed with post-COVID-19 condition (PCC) during the first 16 months of use 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 health care 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 patients with COVID-19 with or without PCC regarding sociodemographic characteristics, comorbidities, subsequent diseases, COVID-19 severity, and virus variants. Results: 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 February 15, 2022 in the two largest regions in Sweden. The cumulative incidence was higher among women than men (2.3% vs 1.6%, P <0.001). The majority of PCC cases (n = 7162, 70.2%) had not been hospitalized 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) than non-hospitalized patients with COVID-19 without PCC. Conclusion: This characterization furthers the understanding of patients diagnosed with PCC and could support policy makers with appropriate societal and health care resource allocation..
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:126 |
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| Enthalten in: |
International Journal of Infectious Diseases - 126(2023), Seite 104-113 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Maria Bygdell [VerfasserIn] |
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| Links: |
doi.org [kostenfrei] |
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| Themen: |
Incidence rate |
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| doi: |
10.1016/j.ijid.2022.11.021 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
DOAJ020801777 |
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| 245 | 1 | 2 | |a A comprehensive characterization of patients diagnosed with post-COVID-19 condition in Sweden 16 months after the introduction of the International Classification of Diseases Tenth Revision diagnosis code (U09.9): a population-based cohort study |
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| 520 | |a Objectives: The objective of this study was to provide a comprehensive characterization of patients diagnosed with post-COVID-19 condition (PCC) during the first 16 months of use 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 health care 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 patients with COVID-19 with or without PCC regarding sociodemographic characteristics, comorbidities, subsequent diseases, COVID-19 severity, and virus variants. Results: 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 February 15, 2022 in the two largest regions in Sweden. The cumulative incidence was higher among women than men (2.3% vs 1.6%, P <0.001). The majority of PCC cases (n = 7162, 70.2%) had not been hospitalized 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) than non-hospitalized patients with COVID-19 without PCC. Conclusion: This characterization furthers the understanding of patients diagnosed with PCC and could support policy makers with appropriate societal and health care resource allocation. | ||
| 650 | 4 | |a Population-based Cohort study | |
| 650 | 4 | |a Post-COVID-19 condition | |
| 650 | 4 | |a Patient characteristics | |
| 650 | 4 | |a Incidence rate | |
| 653 | 0 | |a Infectious and parasitic diseases | |
| 700 | 0 | |a Susannah Leach |e verfasserin |4 aut | |
| 700 | 0 | |a Lisa Lundberg |e verfasserin |4 aut | |
| 700 | 0 | |a David Gyll |e verfasserin |4 aut | |
| 700 | 0 | |a Jari Martikainen |e verfasserin |4 aut | |
| 700 | 0 | |a Ailiana Santosa |e verfasserin |4 aut | |
| 700 | 0 | |a Huiqi Li |e verfasserin |4 aut | |
| 700 | 0 | |a Magnus Gisslén |e verfasserin |4 aut | |
| 700 | 0 | |a Fredrik Nyberg |e verfasserin |4 aut | |
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