dc.date.accessioned | 2024-02-29T18:14:57Z | |
dc.date.available | 2024-02-29T18:14:57Z | |
dc.date.created | 2023-10-25T09:16:37Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Reme, Bjørn-Atle Gjesvik, Jonas Magnusson, Karin . Predictors of the post-COVID condition following mild SARS-CoV-2 infection. Nature Communications. 2023, 14 | |
dc.identifier.uri | http://hdl.handle.net/10852/108820 | |
dc.description.abstract | Abstract Whereas the nature of the post-COVID condition following mild acute COVID-19 is increasingly well described in the literature, knowledge of its risk factors, and whether it can be predicted, remains limited. This study, conducted in Norway, uses individual-level register data from 214,667 SARS-CoV-2 infected individuals covering a range of demographic, socioeconomic factors, as well as cause-specific healthcare utilization in the years prior to infection to assess the risk of post-COVID complaints ≥3 months after testing positive. We find that the risk of post-COVID was higher among individuals who prior to infection had been diagnosed with psychological (OR = 2.12, 95% CI 1.84–2.44), respiratory (OR = 2.03, 95% CI 1.78–2.32), or general and unspecified health problems (OR = 1.78, 95% CI 1.52–2.09). To assess the predictability of post-COVID after mild initial disease, we use machine learning methods and find that pre-infection characteristics, combined with information on the SARS-CoV-2 virus type and vaccine status, to a considerable extent (AUC = 0.79, 95% CI 0.75–0.81) could predict the occurrence of post-COVID complaints in our sample. | |
dc.language | EN | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.title | Predictors of the post-COVID condition following mild SARS-CoV-2 infection | |
dc.title.alternative | ENEngelskEnglishPredictors of the post-COVID condition following mild SARS-CoV-2 infection | |
dc.type | Journal article | |
dc.creator.author | Reme, Bjørn-Atle | |
dc.creator.author | Gjesvik, Jonas | |
dc.creator.author | Magnusson, Karin | |
cristin.unitcode | 185,52,11,0 | |
cristin.unitname | Avdeling for helseledelse og helseøkonomi | |
cristin.ispublished | true | |
cristin.fulltext | original | |
cristin.qualitycode | 2 | |
dc.identifier.cristin | 2188177 | |
dc.identifier.bibliographiccitation | info:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=Nature Communications&rft.volume=14&rft.spage=&rft.date=2023 | |
dc.identifier.jtitle | Nature Communications | |
dc.identifier.volume | 14 | |
dc.identifier.issue | 1 | |
dc.identifier.pagecount | 9 | |
dc.identifier.doi | https://doi.org/10.1038/s41467-023-41541-x | |
dc.type.document | Tidsskriftartikkel | |
dc.type.peerreviewed | Peer reviewed | |
dc.source.issn | 2041-1723 | |
dc.type.version | PublishedVersion | |
cristin.articleid | 5839 | |