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 dat...
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| Format: | Article |
| Language: | English |
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Elsevier
2023-01-01
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| Series: | International Journal of Infectious Diseases |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1201971222006129 |
| _version_ | 1797977783377330176 |
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| author | Maria Bygdell Susannah Leach Lisa Lundberg David Gyll Jari Martikainen Ailiana Santosa Huiqi Li Magnus Gisslén Fredrik Nyberg |
| author_facet | Maria Bygdell Susannah Leach Lisa Lundberg David Gyll Jari Martikainen Ailiana Santosa Huiqi Li Magnus Gisslén Fredrik Nyberg |
| author_sort | Maria Bygdell |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T05:12:31Z |
| format | Article |
| id | doaj.art-fef160896668436a923c1ad4c49dd911 |
| institution | Directory Open Access Journal |
| issn | 1201-9712 |
| language | English |
| last_indexed | 2024-04-11T05:12:31Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | International Journal of Infectious Diseases |
| spelling | doaj.art-fef160896668436a923c1ad4c49dd9112022-12-25T04:16:48ZengElsevierInternational Journal of Infectious Diseases1201-97122023-01-01126104113A 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 studyMaria Bygdell0Susannah Leach1Lisa Lundberg2David Gyll3Jari Martikainen4Ailiana Santosa5Huiqi Li6Magnus Gisslén7Fredrik Nyberg8Department of Internal Medicine and Clinical Nutrition, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; School of Public Health and Community Medicine, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Corresponding author: Maria Bygdell, Vita stråket 11, 413 45 Gothenburg, SwedenDepartment of Microbiology and Immunology, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Department of Clinical Pharmacology, Sahlgrenska University Hospital, Gothenburg, SwedenDepartment of Microbiology and Immunology, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Department of Clinical Pharmacology, Sahlgrenska University Hospital, Gothenburg, SwedenRegion Uppsala, Svartbäcken Primary Care, Uppsala, SwedenBioinformatics and Data Centre, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenSchool of Public Health and Community Medicine, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenSchool of Public Health and Community Medicine, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenDepartment of Infectious Diseases, Institute of Biomedicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden; Region Västra Götaland, Department of Infectious Diseases, Sahlgrenska University Hospital, Gothenburg, SwedenSchool of Public Health and Community Medicine, Institute of Medicine, The Sahlgrenska Academy, University of Gothenburg, Gothenburg, SwedenObjectives: 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.http://www.sciencedirect.com/science/article/pii/S1201971222006129Population-based Cohort studyPost-COVID-19 conditionPatient characteristicsIncidence rate |
| spellingShingle | Maria Bygdell Susannah Leach Lisa Lundberg David Gyll Jari Martikainen Ailiana Santosa Huiqi Li Magnus Gisslén Fredrik Nyberg 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 International Journal of Infectious Diseases Population-based Cohort study Post-COVID-19 condition Patient characteristics Incidence rate |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| topic | Population-based Cohort study Post-COVID-19 condition Patient characteristics Incidence rate |
| url | http://www.sciencedirect.com/science/article/pii/S1201971222006129 |
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