A systematic review and meta-analysis of long COVID symptoms

Natarajan，Arun1; Shetty，Ashish2,3; Delanerolle，Gayathri4; Zeng，Yutian5; Zhang，Yingzhe6; Raymont，Vanessa7; Rathod，Shanaya8; Halabi，Sam9; Elliot，Kathryn8; Shi，Jian Qing5; Phiri，Peter8,10

2023-12-01

10.1186/s13643-023-02250-0

Systematic Reviews   影响因子和分区

2046-4053

Background: Ongoing symptoms or the development of new symptoms following a SARS-CoV-2 diagnosis has caused a complex clinical problem known as “long COVID” (LC). This has introduced further pressure on global healthcare systems as there appears to be a need for ongoing clinical management of these patients. LC personifies heterogeneous symptoms at varying frequencies. The most complex symptoms appear to be driven by the neurology and neuropsychiatry spheres. Methods: A systematic protocol was developed, peer reviewed, and published in PROSPERO. The systematic review included publications from the 1st of December 2019–30th June 2021 published in English. Multiple electronic databases were used. The dataset has been analyzed using a random-effects model and a subgroup analysis based on geographical location. Prevalence and 95% confidence intervals (CIs) were established based on the data identified. Results: Of the 302 studies, 49 met the inclusion criteria, although 36 studies were included in the meta-analysis. The 36 studies had a collective sample size of 11,598 LC patients. 18 of the 36 studies were designed as cohorts and the remainder were cross-sectional. Symptoms of mental health, gastrointestinal, cardiopulmonary, neurological, and pain were reported. Conclusions: The quality that differentiates this meta-analysis is that they are cohort and cross-sectional studies with follow-up. It is evident that there is limited knowledge available of LC and current clinical management strategies may be suboptimal as a result. Clinical practice improvements will require more comprehensive clinical research, enabling effective evidence-based approaches to better support patients.

Autonomic dysfunction Gastrointestinal Long COVID Neurology Neuropsychiatry Pain

SCI

英语

ESI高被引

其他

General & Internal Medicine

Medicine, General & Internal

WOS:000995772500001

BMC

2-s2.0-85160359571

Scopus

1.Hillingdon Hospital NHS Foundation Trust,Pain Services,Uxbridge,United Kingdom
2.University College London Hospitals NHS Foundation Trust,London,United Kingdom
3.University College London,London,United Kingdom
4.Nuffield Department of Primary Health Care Sciences,University of Oxford,Oxford,United Kingdom
5.Department of Statistics and Data Science,Southern University of Science and Technology,Shezhen,China
6.West China Hospital of Sichuan University,Chengdu,China
7.Department of Psychiatry,University of Oxford,Oxford,United Kingdom
8.Research & Innovation Department,Southern Health NHS Foundation Trust,Southampton,United Kingdom
9.O’Neill Institute for National and Global Health Law,Georgetown University Law Center,Washington,United States
10.Department of Psychology,Faculty of Environmental and Life Sciences,University of Southampton,Southampton,United Kingdom

Natarajan，Arun,Shetty，Ashish,Delanerolle，Gayathri,et al. A systematic review and meta-analysis of long COVID symptoms[J]. Systematic Reviews,2023,12(1).

Natarajan，Arun.,Shetty，Ashish.,Delanerolle，Gayathri.,Zeng，Yutian.,Zhang，Yingzhe.,...&Phiri，Peter.(2023).A systematic review and meta-analysis of long COVID symptoms.Systematic Reviews,12(1).

Natarajan，Arun,et al."A systematic review and meta-analysis of long COVID symptoms".Systematic Reviews 12.1(2023).