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Incidence of long COVID-19 in people with previous SARS-Cov2 infection: a systematic review and meta-analysis of 120,970 patients
Internal and emergency medicine ; : 1-9, 2022.
Article in English | EuropePMC | ID: covidwho-2147209
ABSTRACT
The long-term consequences of the coronavirus disease 19 (COVID-19) are likely to be frequent but results hitherto are inconclusive. Therefore, we aimed to define the incidence of long-term COVID signs and symptoms as defined by the World Health Organization, using a systematic review and meta-analysis of observational studies. A systematic search in several databases was carried out up to 12 January 2022 for observational studies reporting the cumulative incidence of long COVID signs and symptoms divided according to body systems affected. Data are reported as incidence and 95% confidence intervals (CIs). Several sensitivity and meta-regression analyses were performed. Among 11,162 papers initially screened, 196 were included, consisting of 120,970 participants (mean age 52.3 years;48.8% females) who were followed-up for a median of six months. The incidence of any long COVID symptomatology was 56.9% (95% CI 52.2–61.6). General long COVID signs and symptoms were the most frequent (incidence of 31%) and digestive issues the least frequent (7.7%). The presence of any neurological, general and cardiovascular long COVID symptomatology was most frequent in females. Higher mean age was associated with higher incidence of psychiatric, respiratory, general, digestive and skin conditions. The incidence of long COVID symptomatology was different according to continent and follow-up length. Long COVID is a common condition in patients who have been infected with SARS-CoV-2, regardless of the severity of the acute illness, indicating the need for more cohort studies on this topic.
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Collection: Databases of international organizations Database: EuropePMC Type of study: Observational study / Reviews / Systematic review/Meta Analysis Topics: Long Covid Language: English Journal: Internal and emergency medicine Year: 2022 Document Type: Article

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Collection: Databases of international organizations Database: EuropePMC Type of study: Observational study / Reviews / Systematic review/Meta Analysis Topics: Long Covid Language: English Journal: Internal and emergency medicine Year: 2022 Document Type: Article