• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

基于调整效应估计的 COVID-19 患者脑血管病与不良结局相关性的荟萃分析

The Association of Cerebrovascular Disease with Adverse Outcomes in COVID-19 Patients: A Meta-Analysis Based on Adjusted Effect Estimates.

机构信息

Department of Epidemiology, School of Public Health, Zhengzhou University, No. 100 of Science Avenue, Zhengzhou 450001, China.

Department of Toxicology, Henan Center for Disease Control and Prevention, Zhengzhou 450016, China.

出版信息

J Stroke Cerebrovasc Dis. 2020 Nov;29(11):105283. doi: 10.1016/j.jstrokecerebrovasdis.2020.105283. Epub 2020 Aug 28.

DOI:10.1016/j.jstrokecerebrovasdis.2020.105283
PMID:33066922
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7455117/
Abstract

OBJECTIVE

The aim of this study was to address the association between cerebrovascular disease and adverse outcomes in coronavirus disease 2019 (COVID-19) patients by using a quantitative meta-analysis based on adjusted effect estimates.

METHOD

A systematic search was performed in PubMed, Web of Science, and EMBASE up to August 10th, 2020. The adjusted effect estimates were extracted and pooled to evaluate the risk of the unfavorable outcomes in COVID-19 patients with cerebrovascular disease. Subgroup analysis and meta-regression were also carried out.

RESULTS

There were 12 studies with 10,304 patients included in our meta-analysis. A significant trend was observed when evaluating the association between cerebrovascular disease and adverse outcomes (pooled effect = 2.05, 95% confidence interval (CI): 1.34-3.16). In addition, the pooled effects showed that patients with a history of cerebrovascular disease had more likelihood to progress fatal outcomes than patients without a history of cerebrovascular disease (pooled effect = 1.78, 95% CI: 1.04-3.07).

CONCLUSION

This study for the first time indicated that cerebrovascular disease was an independent risk factor for predicting the adverse outcomes, particularly fatal outcomes, in COVID-19 patients on the basis of adjusted effect estimates. Well-designed studies with larger sample size are needed for further verification.

摘要

目的

本研究旨在通过基于调整后效应估计的定量荟萃分析,探讨脑血管疾病与 2019 年冠状病毒病(COVID-19)患者不良结局之间的关联。

方法

系统检索了 PubMed、Web of Science 和 EMBASE,检索时间截至 2020 年 8 月 10 日。提取并汇总了调整后效应估计值,以评估 COVID-19 合并脑血管疾病患者不良结局的风险。还进行了亚组分析和荟萃回归分析。

结果

荟萃分析纳入了 12 项研究,共 10304 例患者。评估脑血管疾病与不良结局之间的关联时,观察到了显著的趋势(汇总效应=2.05,95%置信区间[CI]:1.34-3.16)。此外,汇总效应表明,有脑血管疾病史的患者比无脑血管疾病史的患者更有可能进展为致命结局(汇总效应=1.78,95%CI:1.04-3.07)。

结论

基于调整后效应估计,本研究首次表明脑血管疾病是预测 COVID-19 患者不良结局,特别是致命结局的独立危险因素。需要进行设计更好、样本量更大的研究进一步验证。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/3623d6ca75e0/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/008fef281c39/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/4f3bc1f28f78/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/5fe4d197a823/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/3623d6ca75e0/gr4_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/008fef281c39/gr1_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/4f3bc1f28f78/gr2_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/5fe4d197a823/gr3_lrg.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/0c7a/7455117/3623d6ca75e0/gr4_lrg.jpg

相似文献

1
The Association of Cerebrovascular Disease with Adverse Outcomes in COVID-19 Patients: A Meta-Analysis Based on Adjusted Effect Estimates.基于调整效应估计的 COVID-19 患者脑血管病与不良结局相关性的荟萃分析
J Stroke Cerebrovasc Dis. 2020 Nov;29(11):105283. doi: 10.1016/j.jstrokecerebrovasdis.2020.105283. Epub 2020 Aug 28.
2
Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19-systematic review, meta-analysis, and meta-regression.脑血管和心血管疾病对新冠病毒疾病死亡率及严重程度的影响——系统评价、荟萃分析和荟萃回归
J Stroke Cerebrovasc Dis. 2020 Aug;29(8):104949. doi: 10.1016/j.jstrokecerebrovasdis.2020.104949. Epub 2020 May 14.
3
Impact of cerebrovascular and cardiovascular diseases on mortality and severity of COVID-19-systematic review, meta-analysis, and meta-regression.脑血管病和心血管病对 COVID-19 死亡率和严重程度的影响:系统评价、荟萃分析和荟萃回归。
J Stroke Cerebrovasc Dis. 2020 Aug;29(8):104949. doi: 10.1016/j.jstrokecerebrovasdis.2020.104949. Epub 2020 May 14.
4
Is chronic obstructive pulmonary disease an independent predictor for adverse outcomes in coronavirus disease 2019 patients?慢性阻塞性肺疾病是否是 2019 冠状病毒病患者不良结局的独立预测因子?
Eur Rev Med Pharmacol Sci. 2020 Nov;24(21):11421-11427. doi: 10.26355/eurrev_202011_23635.
5
Elevated interleukin-6 and adverse outcomes in COVID-19 patients: a meta-analysis based on adjusted effect estimates.COVID-19 患者中白细胞介素 6 水平升高与不良结局:基于调整后效应估计的荟萃分析。
Immunogenetics. 2020 Oct;72(8):431-437. doi: 10.1007/s00251-020-01179-1. Epub 2020 Oct 17.
6
In Defense of Our Patients: Indirect Negative Neurological Consequences of SARS-CoV-2 in the New York Epicenter.为我们的患者辩护:纽约疫情中心SARS-CoV-2的间接负面神经后果
J Stroke Cerebrovasc Dis. 2020 Oct;29(10):105127. doi: 10.1016/j.jstrokecerebrovasdis.2020.105127. Epub 2020 Jul 10.
7
Predictors of mortality for patients with COVID-19 pneumonia caused by SARS-CoV-2: a prospective cohort study.预测 SARS-CoV-2 引起的 COVID-19 肺炎患者死亡率的前瞻性队列研究。
Eur Respir J. 2020 May 7;55(5). doi: 10.1183/13993003.00524-2020. Print 2020 May.
8
Cerebrovascular disease is associated with an increased disease severity in patients with Coronavirus Disease 2019 (COVID-19): A pooled analysis of published literature.脑血管病与 2019 年冠状病毒病(COVID-19)患者的疾病严重程度增加相关:已发表文献的汇总分析。
Int J Stroke. 2020 Jun;15(4):385-389. doi: 10.1177/1747493020921664. Epub 2020 Apr 20.
9
Arrhythmia in patients with severe coronavirus disease (COVID-19): a meta-analysis.严重冠状病毒病(COVID-19)患者的心律失常:一项荟萃分析。
Eur Rev Med Pharmacol Sci. 2020 Nov;24(21):11395-11401. doi: 10.26355/eurrev_202011_23632.
10
Risk factors for adverse clinical outcomes with COVID-19 in China: a multicenter, retrospective, observational study.中国 COVID-19 不良临床结局的危险因素:一项多中心、回顾性、观察性研究。
Theranostics. 2020 May 15;10(14):6372-6383. doi: 10.7150/thno.46833. eCollection 2020.

引用本文的文献

1
Concurrent Middle Cerebral Artery and Basilar Artery Occlusions Treated With Mechanical Thrombectomy in a Patient With Active COVID-19 Infection.一名患有活动性COVID-19感染的患者接受机械取栓术治疗大脑中动脉和基底动脉同时闭塞
Cureus. 2024 Apr 4;16(4):e57623. doi: 10.7759/cureus.57623. eCollection 2024 Apr.
2
Pre-existing neurological conditions and COVID-19 co-infection: Data from systematic reviews, meta-analyses, and scoping reviews.既往神经系统疾病与 COVID-19 合并感染:系统评价、荟萃分析和范围综述的数据。
J Neurol Sci. 2023 Dec 15;455:120858. doi: 10.1016/j.jns.2023.120858. Epub 2023 Oct 29.
3
Association Between Previous Stroke and Severe COVID-19: A Retrospective Cohort Study and an Overall Review of Meta-Analysis.

本文引用的文献

1
Cytokine Storm in COVID-19-Immunopathological Mechanisms, Clinical Considerations, and Therapeutic Approaches: The REPROGRAM Consortium Position Paper.《COVID-19 细胞因子风暴:免疫病理机制、临床考量与治疗策略:REPROGRAM 联盟立场文件》。
Front Immunol. 2020 Jul 10;11:1648. doi: 10.3389/fimmu.2020.01648. eCollection 2020.
2
Hypertension is a risk factor for adverse outcomes in patients with coronavirus disease 2019: a cohort study.高血压是 2019 年冠状病毒病患者不良结局的一个危险因素:一项队列研究。
Ann Med. 2020 Nov;52(7):361-366. doi: 10.1080/07853890.2020.1802059. Epub 2020 Jul 31.
3
Preexisting Comorbidities Predicting COVID-19 and Mortality in the UK Biobank Community Cohort.
既往中风与重症新型冠状病毒肺炎的关联:一项回顾性队列研究及荟萃分析的全面综述
Front Neurol. 2022 Jul 12;13:922936. doi: 10.3389/fneur.2022.922936. eCollection 2022.
4
First report on genome wide association study in western Indian population reveals host genetic factors for COVID-19 severity and outcome.首个在印度西部人群中开展的全基因组关联研究报告揭示了宿主遗传因素对 COVID-19 严重程度和结局的影响。
Genomics. 2022 Jul;114(4):110399. doi: 10.1016/j.ygeno.2022.110399. Epub 2022 Jun 6.
5
A causal learning framework for the analysis and interpretation of COVID-19 clinical data.用于分析和解释 COVID-19 临床数据的因果学习框架。
PLoS One. 2022 May 19;17(5):e0268327. doi: 10.1371/journal.pone.0268327. eCollection 2022.
6
Significant association of obstructive sleep apnoea with increased risk for fatal COVID-19: A quantitative meta-analysis based on adjusted effect estimates.阻塞性睡眠呼吸暂停与COVID-19死亡风险增加之间的显著关联:基于调整后效应估计值的定量荟萃分析。
Sleep Med Rev. 2022 Jun;63:101624. doi: 10.1016/j.smrv.2022.101624. Epub 2022 Mar 15.
7
The association between stroke and COVID-19-related mortality: a systematic review and meta-analysis based on adjusted effect estimates.卒中与 COVID-19 相关死亡率的关联:基于调整效应估计值的系统评价和荟萃分析。
Neurol Sci. 2022 Jul;43(7):4049-4059. doi: 10.1007/s10072-022-06024-9. Epub 2022 Mar 24.
8
The association between myocardial infarction and COVID-19 related mortality: A meta-analysis based on adjusted effect estimates.心肌梗死与新型冠状病毒肺炎相关死亡率之间的关联:基于调整效应估计值的荟萃分析
Am J Emerg Med. 2022 Jul;57:227-229. doi: 10.1016/j.ajem.2022.02.050. Epub 2022 Feb 28.
9
Pre-existing health conditions and severe COVID-19 outcomes: an umbrella review approach and meta-analysis of global evidence.既往健康状况与严重 COVID-19 结局:全球证据的伞式评价方法和荟萃分析。
BMC Med. 2021 Aug 27;19(1):212. doi: 10.1186/s12916-021-02058-6.
10
Lack of Marked Association Between Gastrointestinal Symptoms and COVID-19 Mortality: An Updated Meta-analysis Based on Adjusted Effect Estimates.胃肠道症状与新冠病毒疾病死亡率之间缺乏显著关联:基于校正效应估计值的最新荟萃分析
Mayo Clin Proc. 2021 Jun;96(6):1672-1680. doi: 10.1016/j.mayocp.2021.04.011. Epub 2021 Apr 20.
英国生物库社区队列中预测 COVID-19 和死亡率的预先存在的合并症。
J Gerontol A Biol Sci Med Sci. 2020 Oct 15;75(11):2224-2230. doi: 10.1093/gerona/glaa183.
4
Visceral Adiposity and High Intramuscular Fat Deposition Independently Predict Critical Illness in Patients with SARS-CoV-2.内脏脂肪堆积和高肌肉内脂肪沉积可独立预测 SARS-CoV-2 感染患者的危重症。
Obesity (Silver Spring). 2020 Nov;28(11):2040-2048. doi: 10.1002/oby.22971. Epub 2020 Sep 17.
5
Working memory capacity predicts individual differences in social-distancing compliance during the COVID-19 pandemic in the United States.工作记忆容量可以预测美国 COVID-19 大流行期间个人遵守社交距离的差异。
Proc Natl Acad Sci U S A. 2020 Jul 28;117(30):17667-17674. doi: 10.1073/pnas.2008868117. Epub 2020 Jul 10.
6
Neurological diseases as mortality predictive factors for patients with COVID-19: a retrospective cohort study.神经系统疾病是 COVID-19 患者死亡的预测因素:一项回顾性队列研究。
Neurol Sci. 2020 Sep;41(9):2317-2324. doi: 10.1007/s10072-020-04541-z. Epub 2020 Jul 8.
7
Distinct Clinical Characteristics and Risk Factors for Mortality in Female Inpatients With Coronavirus Disease 2019 (COVID-19): A Sex-stratified, Large-scale Cohort Study in Wuhan, China.中国武汉一项性别分层的大规模队列研究:2019 年冠状病毒病(COVID-19)女性住院患者死亡的临床特征和危险因素分析。
Clin Infect Dis. 2020 Dec 15;71(12):3188-3195. doi: 10.1093/cid/ciaa920.
8
Cerebrovascular disease is associated with the risk of mortality in coronavirus disease 2019.脑血管疾病与2019冠状病毒病的死亡风险相关。
Neurol Sci. 2020 Aug;41(8):2017-2019. doi: 10.1007/s10072-020-04542-y. Epub 2020 Jun 30.
9
Impact of Severe Acute Respiratory Syndrome Coronavirus 2 Viral Load on Risk of Intubation and Mortality Among Hospitalized Patients With Coronavirus Disease 2019.严重急性呼吸综合征冠状病毒 2 病毒载量对 2019 年冠状病毒病住院患者插管和死亡率风险的影响。
Clin Infect Dis. 2021 Dec 6;73(11):e4197-e4205. doi: 10.1093/cid/ciaa851.
10
The association of hypertension with the severity and mortality of COVID-19 patients: Evidence based on adjusted effect estimates.高血压与新冠病毒肺炎患者严重程度及死亡率的关联:基于校正效应估计值的证据
J Infect. 2020 Sep;81(3):e44-e47. doi: 10.1016/j.jinf.2020.06.060. Epub 2020 Jun 25.