Persistent symptoms and risk factors predicting prolonged time to symptom-free after SARS‑CoV‑2 infection : an analysis of the baseline examination of the German COVIDOM/NAPKON-POP cohort
© 2023. The Author(s)..
PURPOSE: We aimed to assess symptoms in patients after SARS-CoV-2 infection and to identify factors predicting prolonged time to symptom-free.
METHODS: COVIDOM/NAPKON-POP is a population-based prospective cohort of adults whose first on-site visits were scheduled ≥ 6 months after a positive SARS-CoV-2 PCR test. Retrospective data including self-reported symptoms and time to symptom-free were collected during the survey before a site visit. In the survival analyses, being symptom-free served as the event and time to be symptom-free as the time variable. Data were visualized with Kaplan-Meier curves, differences were tested with log-rank tests. A stratified Cox proportional hazard model was used to estimate adjusted hazard ratios (aHRs) of predictors, with aHR < 1 indicating a longer time to symptom-free.
RESULTS: Of 1175 symptomatic participants included in the present analysis, 636 (54.1%) reported persistent symptoms after 280 days (SD 68) post infection. 25% of participants were free from symptoms after 18 days [quartiles: 14, 21]. Factors associated with prolonged time to symptom-free were age 49-59 years compared to < 49 years (aHR 0.70, 95% CI 0.56-0.87), female sex (aHR 0.78, 95% CI 0.65-0.93), lower educational level (aHR 0.77, 95% CI 0.64-0.93), living with a partner (aHR 0.81, 95% CI 0.66-0.99), low resilience (aHR 0.65, 95% CI 0.47-0.90), steroid treatment (aHR 0.22, 95% CI 0.05-0.90) and no medication (aHR 0.74, 95% CI 0.62-0.89) during acute infection.
CONCLUSION: In the studied population, COVID-19 symptoms had resolved in one-quarter of participants within 18 days, and in 34.5% within 28 days. Over half of the participants reported COVID-19-related symptoms 9 months after infection. Symptom persistence was predominantly determined by participant's characteristics that are difficult to modify.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:51 |
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| Enthalten in: |
Infection - 51(2023), 6 vom: 25. Dez., Seite 1679-1694 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Shi, Yanyan [VerfasserIn] |
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| Links: |
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| Themen: |
COVID-19 |
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| Anmerkungen: |
Date Completed 23.11.2023 Date Revised 23.11.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1007/s15010-023-02043-6 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM357336097 |
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| 100 | 1 | |a Shi, Yanyan |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Persistent symptoms and risk factors predicting prolonged time to symptom-free after SARS‑CoV‑2 infection |b an analysis of the baseline examination of the German COVIDOM/NAPKON-POP cohort |
| 264 | 1 | |c 2023 | |
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| 500 | |a Date Completed 23.11.2023 | ||
| 500 | |a Date Revised 23.11.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a © 2023. The Author(s). | ||
| 520 | |a PURPOSE: We aimed to assess symptoms in patients after SARS-CoV-2 infection and to identify factors predicting prolonged time to symptom-free | ||
| 520 | |a METHODS: COVIDOM/NAPKON-POP is a population-based prospective cohort of adults whose first on-site visits were scheduled ≥ 6 months after a positive SARS-CoV-2 PCR test. Retrospective data including self-reported symptoms and time to symptom-free were collected during the survey before a site visit. In the survival analyses, being symptom-free served as the event and time to be symptom-free as the time variable. Data were visualized with Kaplan-Meier curves, differences were tested with log-rank tests. A stratified Cox proportional hazard model was used to estimate adjusted hazard ratios (aHRs) of predictors, with aHR < 1 indicating a longer time to symptom-free | ||
| 520 | |a RESULTS: Of 1175 symptomatic participants included in the present analysis, 636 (54.1%) reported persistent symptoms after 280 days (SD 68) post infection. 25% of participants were free from symptoms after 18 days [quartiles: 14, 21]. Factors associated with prolonged time to symptom-free were age 49-59 years compared to < 49 years (aHR 0.70, 95% CI 0.56-0.87), female sex (aHR 0.78, 95% CI 0.65-0.93), lower educational level (aHR 0.77, 95% CI 0.64-0.93), living with a partner (aHR 0.81, 95% CI 0.66-0.99), low resilience (aHR 0.65, 95% CI 0.47-0.90), steroid treatment (aHR 0.22, 95% CI 0.05-0.90) and no medication (aHR 0.74, 95% CI 0.62-0.89) during acute infection | ||
| 520 | |a CONCLUSION: In the studied population, COVID-19 symptoms had resolved in one-quarter of participants within 18 days, and in 34.5% within 28 days. Over half of the participants reported COVID-19-related symptoms 9 months after infection. Symptom persistence was predominantly determined by participant's characteristics that are difficult to modify | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a COVID-19 | |
| 650 | 4 | |a Long COVID | |
| 650 | 4 | |a Post-COVID syndrome | |
| 650 | 4 | |a Risk factors | |
| 650 | 4 | |a Time to symptom-free | |
| 700 | 1 | |a Strobl, Ralf |e verfasserin |4 aut | |
| 700 | 1 | |a Apfelbacher, Christian |e verfasserin |4 aut | |
| 700 | 1 | |a Bahmer, Thomas |e verfasserin |4 aut | |
| 700 | 1 | |a Geisler, Ramsia |e verfasserin |4 aut | |
| 700 | 1 | |a Heuschmann, Peter |e verfasserin |4 aut | |
| 700 | 1 | |a Horn, Anna |e verfasserin |4 aut | |
| 700 | 1 | |a Hoven, Hanno |e verfasserin |4 aut | |
| 700 | 1 | |a Keil, Thomas |e verfasserin |4 aut | |
| 700 | 1 | |a Krawczak, Michael |e verfasserin |4 aut | |
| 700 | 1 | |a Krist, Lilian |e verfasserin |4 aut | |
| 700 | 1 | |a Lemhöfer, Christina |e verfasserin |4 aut | |
| 700 | 1 | |a Lieb, Wolfgang |e verfasserin |4 aut | |
| 700 | 1 | |a Lorenz-Depiereux, Bettina |e verfasserin |4 aut | |
| 700 | 1 | |a Mikolajczyk, Rafael |e verfasserin |4 aut | |
| 700 | 1 | |a Montellano, Felipe A |e verfasserin |4 aut | |
| 700 | 1 | |a Reese, Jens Peter |e verfasserin |4 aut | |
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| 700 | 0 | |a NAPKON Study Group |e verfasserin |4 aut | |
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| 700 | 1 | |a Vehreschild, Jörg J |e investigator |4 oth | |
| 700 | 1 | |a Dashti, Hiwa |e investigator |4 oth | |
| 700 | 1 | |a Laumerich, Barbara |e investigator |4 oth | |
| 700 | 1 | |a Pociuli, Oliver |e investigator |4 oth | |
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| 700 | 1 | |a Jorczyk, Maximilian |e investigator |4 oth | |
| 700 | 1 | |a Keller, Thomas |e investigator |4 oth | |
| 700 | 1 | |a Schroth, Michael |e investigator |4 oth | |
| 700 | 1 | |a Hower, Martin |e investigator |4 oth | |
| 700 | 1 | |a Eberwein, Lukas |e investigator |4 oth | |
| 700 | 1 | |a Zimmermann, Tim |e investigator |4 oth | |
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