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Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021

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53Institutions déclarées
21Pays d’affiliation déclarés

Résumé fourni par la source

Importance: Some individuals experience persistent symptoms after initial symptomatic SARS-CoV-2 infection (often referred to as Long COVID). Objective: To estimate the proportion of males and females with COVID-19, younger or older than 20 years of age, who had Long COVID symptoms in 2020 and 2021 and their Long COVID symptom duration. Design, Setting, and Participants: Bayesian meta-regression and pooling of 54 studies and 2 medical record databases with data for 1.2 million individuals (from 22 countries) who had symptomatic SARS-CoV-2 infection. Of the 54 studies, 44 were published and 10 were collaborating cohorts (conducted in Austria, the Faroe Islands, Germany, Iran, Italy, the Netherlands, Russia, Sweden, Switzerland, and the US). The participant data were derived from the 44 published studies (10 501 hospitalized individuals and 42 891 nonhospitalized individuals), the 10 collaborating cohort studies (10 526 and 1906), and the 2 US electronic medical record databases (250 928 and 846 046). Data collection spanned March 2020 to January 2022. Exposures: Symptomatic SARS-CoV-2 infection. Main Outcomes and Measures: Proportion of individuals with at least 1 of the 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after SARS-CoV-2 infection in 2020 and 2021, estimated separately for hospitalized and nonhospitalized individuals aged 20 years or older by sex and for both sexes of nonhospitalized individuals younger than 20 years of age. Results: A total of 1.2 million individuals who had symptomatic SARS-CoV-2 infection were included (mean age, 4-66 years; males, 26%-88%). In the modeled estimates, 6.2% (95% uncertainty interval [UI], 2.4%-13.3%) of individuals who had symptomatic SARS-CoV-2 infection experienced at least 1 of the 3 Long COVID symptom clusters in 2020 and 2021, including 3.2% (95% UI, 0.6%-10.0%) for persistent fatigue with bodily pain or mood swings, 3.7% (95% UI, 0.9%-9.6%) for ongoing respiratory problems, and 2.2% (95% UI, 0.3%-7.6%) for cognitive problems after adjusting for health status before COVID-19, comprising an estimated 51.0% (95% UI, 16.9%-92.4%), 60.4% (95% UI, 18.9%-89.1%), and 35.4% (95% UI, 9.4%-75.1%), respectively, of Long COVID cases. The Long COVID symptom clusters were more common in women aged 20 years or older (10.6% [95% UI, 4.3%-22.2%]) 3 months after symptomatic SARS-CoV-2 infection than in men aged 20 years or older (5.4% [95% UI, 2.2%-11.7%]). Both sexes younger than 20 years of age were estimated to be affected in 2.8% (95% UI, 0.9%-7.0%) of symptomatic SARS-CoV-2 infections. The estimated mean Long COVID symptom cluster duration was 9.0 months (95% UI, 7.0-12.0 months) among hospitalized individuals and 4.0 months (95% UI, 3.6-4.6 months) among nonhospitalized individuals. Among individuals with Long COVID symptoms 3 months after symptomatic SARS-CoV-2 infection, an estimated 15.1% (95% UI, 10.3%-21.1%) continued to experience symptoms at 12 months. Conclusions and Relevance: This study presents modeled estimates of the proportion of individuals with at least 1 of 3 self-reported Long COVID symptom clusters (persistent fatigue with bodily pain or mood swings; cognitive problems; or ongoing respiratory problems) 3 months after symptomatic SARS-CoV-2 infection.

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DOI retrouvé dans Crossref DOI retrouvé ; titre concordant.

Titre Crossref
Estimated Global Proportions of Individuals With Persistent Fatigue, Cognitive, and Respiratory Symptom Clusters Following Symptomatic COVID-19 in 2020 and 2021
Date Crossref
25/10/2022
Éditeur
American Medical Association (AMA)
Type
journal-article

Ce recoupement confirme des métadonnées liées au DOI. Il ne confirme ni la méthode ni les conclusions de l’étude et ne compte pas comme une seconde source scientifique indépendante.

Institutions déclarées

University of WashingtonInstitute for Health Metrics and EvaluationSapienza University of RomeErasmus MCUnited States Department of Veterans AffairsWashington University in St. LouisUniversity of ZurichQueen Mary University of LondonSechenov UniversityEuroQol Research FoundationPirogov Russian National Research Medical UniversityScientific Research Institute of Healthcare Organization and Medical ManagementUniversità Cattolica del Sacro CuoreAgostino Gemelli University PolyclinicDuke UniversityDuke Institute for Health InnovationUppsala University HospitalAlexandria UniversityUppsala UniversityIsfahan University of Medical SciencesCodarts RotterdamInnsbruck Medical UniversityCharité - Universitätsmedizin BerlinNational Health Laboratory ServiceNational Institute for Communicable DiseasesBernhard Nocht Institute for Tropical MedicineHarvard UniversityRussian Medical Academy of Continuous Professional EducationMinistry of Health of the Russian FederationLung InstituteImperial College LondonTufts UniversityInstituut voor Tropische GeneeskundeUniversity of the Faroe IslandsJohns Hopkins UniversityBangladesh Medical UniversityUniversity of British ColumbiaCentro de Investigación Biomédica en Red de Enfermedades RespiratoriasHospital Universitario de La PrincesaHarvard Global Health InstituteGerman Center for Lung ResearchUniversity of Washington Applied Physics LaboratoryUniversidade Federal do Rio Grande do SulThe University of QueenslandNational Center for Disease Control and Public HealthPark Centre for Mental HealthQueensland Centre for Mental Health ResearchUniversidade Federal de Minas GeraisIRCCS Materno Infantile Burlo GarofoloKeio UniversityThe University of TokyoYale UniversitySouth African Medical Research Council

Une affiliation ne permet pas de déduire la nationalité d’un auteur.

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