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Post-COVID syndrome prevalence: a systematic review and meta-analysis.
Sk Abd Razak, Ruhana; Ismail, Aniza; Abdul Aziz, Aznida Firzah; Suddin, Leny Suzana; Azzeri, Amirah; Sha'ari, Nur Insyirah.
Afiliação
  • Sk Abd Razak R; Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Cheras, Kuala Lumpur, 56000, Malaysia.
  • Ismail A; Department of Public Health Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Cheras, Kuala Lumpur, 56000, Malaysia. aniza@ppukm.ukm.edu.my.
  • Abdul Aziz AF; Faculty of Public Health, Universitas Sumatera Utara, Jalan Universitas No. 21 Kampus USU, Medan, North Sumatra, 20155, Indonesia. aniza@ppukm.ukm.edu.my.
  • Suddin LS; Department of Family Medicine, Faculty of Medicine, Universiti Kebangsaan Malaysia, Bandar Tun Razak, Cheras, Kuala Lumpur, 56000, Malaysia.
  • Azzeri A; Department of Public Health Medicine, Faculty of Medicine, Universiti Teknologi (UiTM) MARA, Sungai Buloh, Selangor, Malaysia.
  • Sha'ari NI; Department of Primary Care, Faculty of Medicine and Health Sciences, Universiti Sains Islam Malaysia (USIM), Persiaran Ilmu, Putra Nilai, Nilai, Negeri Sembilan, 71800, Malaysia.
BMC Public Health ; 24(1): 1785, 2024 Jul 04.
Article em En | MEDLINE | ID: mdl-38965510
ABSTRACT

BACKGROUND:

Since the Coronavirus disease 2019 (COVID-19) pandemic began, the number of individuals recovering from COVID-19 infection have increased. Post-COVID Syndrome, or PCS, which is defined as signs and symptoms that develop during or after infection in line with COVID-19, continue beyond 12 weeks, and are not explained by an alternative diagnosis, has also gained attention. We systematically reviewed and determined the pooled prevalence estimate of PCS worldwide based on published literature.

METHODS:

Relevant articles from the Web of Science, Scopus, PubMed, Cochrane Library, and Ovid MEDLINE databases were screened using a Preferred Reporting Items for Systematic Reviews and Meta-Analyses-guided systematic search process. The included studies were in English, published from January 2020 to April 2024, had overall PCS prevalence as one of the outcomes studied, involved a human population with confirmed COVID-19 diagnosis and undergone assessment at 12 weeks post-COVID infection or beyond. As the primary outcome measured, the pooled prevalence of PCS was estimated from a meta-analysis of the PCS prevalence data extracted from individual studies, which was conducted via the random-effects model. This study has been registered on PROSPERO (CRD42023435280).

RESULTS:

Forty eight studies met the eligibility criteria and were included in this review. 16 were accepted for meta-analysis to estimate the pooled prevalence for PCS worldwide, which was 41.79% (95% confidence interval [CI] 39.70-43.88%, I2 = 51%, p = 0.03). Based on different assessment or follow-up timepoints after acute COVID-19 infection, PCS prevalence estimated at ≥ 3rd, ≥ 6th, and ≥ 12th months timepoints were each 45.06% (95% CI 41.25-48.87%), 41.30% (95% CI 34.37-48.24%), and 41.32% (95% CI 39.27-43.37%), respectively. Sex-stratified PCS prevalence was estimated at 47.23% (95% CI 44.03-50.42%) in male and 52.77% (95% CI 49.58-55.97%) in female. Based on continental regions, pooled PCS prevalence was estimated at 46.28% (95% CI 39.53%-53.03%) in Europe, 46.29% (95% CI 35.82%-56.77%) in America, 49.79% (95% CI 30.05%-69.54%) in Asia, and 42.41% (95% CI 0.00%-90.06%) in Australia.

CONCLUSION:

The prevalence estimates in this meta-analysis could be used in further comprehensive studies on PCS, which might enable the development of better PCS management plans to reduce the effect of PCS on population health and the related economic burden.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Síndrome de COVID-19 Pós-Aguda Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: COVID-19 / Síndrome de COVID-19 Pós-Aguda Idioma: En Ano de publicação: 2024 Tipo de documento: Article