covid -19后综合征的预测因素：荟萃分析

IF 1.4 4区医学 Q4 INFECTIOUS DISEASES

Journal of Infection in Developing Countries Pub Date : 2025-04-29 DOI:10.3855/jidc.18574

Rulin Wang, Minghui Lin, Shangqiao Yu, Xijuan Xue, Xue Hu, Zhizhong Wang

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引用次数: 0

摘要

2019后冠状病毒病（COVID-19）综合征，也称为长COVID-19，会影响各种患者的幸存者。目前，预测COVID-19预后不良的证据仍然不足。本研究旨在探讨covid -19后综合征的潜在预测因素。方法：采用系统回顾过程和元分析方法来确定预测因素。从2019年12月1日至2022年2月28日，在PubMed， Embase，谷歌Scholar， Web of Science和Cochrane Library上使用与我们目标相关的特定关键词进行了系统搜索，没有语言限制。采用纽卡斯尔渥太华量表（Newcastle Ottawa Scale）观察性研究工具评价研究质量，采用R（4.1.1）包meta进行统计分析。结果：我们对14项研究的荟萃分析显示，女性（OR = 1.42, 95% CI: 1.19-1.70）、患者严重程度（OR = 2.43, 95% CI: 1.26-4.68）、合并症（OR = 2.08, 95% CI: 1.29-3.35）、呼吸困难（OR = 2.02, 95% CI: 1.34-3.04）与covid -19后综合征的高风险相关。结论：我们的研究表明，女性、COVID-19的严重程度、合并症和呼吸困难与COVID-19后综合征的高风险相关。预防和治疗新冠肺炎后综合征应重视这些因素。

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Predictors of post-COVID-19 syndrome: a meta-analysis.

Introduction: Post Coronavirus Disease 2019 (COVID-19) Syndrome also known as long COVID-19 would affect survivors of various patients. At present, the evidence for predicting a poor prognosis of COVID-19 remains insufficient. This study aims to explore potential predictors of post-COVID-19 syndrome.

Methodology: A systematic review process and meta-analysis method are applied to identify the predictors. Systematic searches were conducted without language restrictions from December 1, 2019, to February 28, 2022, on PubMed, Embase, Google Scholar, Web of Science, and Cochrane Library using specific keywords relevant to our targets. The Newcastle Ottawa Scale observational research tool was used to assess study quality and the R (4.1.1) package meta was used for statistical analysis.

Results: Our meta-analysis of 14 studies showed that females (OR = 1.42, 95% CI: 1.19-1.70), the severity of patients (OR = 2.43, 95% CI: 1.26-4.68), comorbidity (OR = 2.08, 95% CI: 1.29-3.35), dyspnea (OR = 2.02, 95% CI: 1.34-3.04) associated with a higher risk of post-COVID-19 syndrome.

Conclusions: Our study showed that females, the severity of COVID-19, comorbidity, and dyspnea were associated with a higher risk of post-COVID-19 syndrome. More attention should be paid to these factors to prevent and treat post-COVID-19 syndrome.

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来源期刊

Journal of Infection in Developing Countries INFECTIOUS DISEASES-

CiteScore

3.70

自引率

5.30%

发文量

239

审稿时长

4-8 weeks

期刊介绍： The Journal of Infection in Developing Countries (JIDC) is an international journal, intended for the publication of scientific articles from Developing Countries by scientists from Developing Countries. JIDC is an independent, on-line publication with an international editorial board. JIDC is open access with no cost to view or download articles and reasonable cost for publication of research artcles, making JIDC easily availiable to scientists from resource restricted regions.