• 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

评估 COVID-19 住院患者不良结局预测工具的性能一致性。

Assessment of the Performance Consistency of an Adverse Outcome Prediction Tool for Patients Hospitalized With COVID-19.

机构信息

Center for Quantitative Health, Division of Clinical Research, Massachusetts General Hospital, Boston.

Research Information Science and Computing, Mass General Brigham, Somerville, Massachusetts.

出版信息

JAMA Netw Open. 2021 Jul 1;4(7):e2118413. doi: 10.1001/jamanetworkopen.2021.18413.

DOI:10.1001/jamanetworkopen.2021.18413
PMID:34313745
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8317002/
Abstract

This prognostic study reports on the performance of a previously validated COVID-19 severity prediction tool when applied to data during the second wave of the pandemic.

摘要

本预后研究报告了先前验证的 COVID-19 严重程度预测工具在应用于大流行第二波期间的数据时的性能。

相似文献

1
Assessment of the Performance Consistency of an Adverse Outcome Prediction Tool for Patients Hospitalized With COVID-19.评估 COVID-19 住院患者不良结局预测工具的性能一致性。
JAMA Netw Open. 2021 Jul 1;4(7):e2118413. doi: 10.1001/jamanetworkopen.2021.18413.
2
EASIX for Prediction of Outcome in Hospitalized SARS-CoV-2 Infected Patients.EASIX 用于预测住院 SARS-CoV-2 感染患者的结局。
Front Immunol. 2021 Jun 23;12:634416. doi: 10.3389/fimmu.2021.634416. eCollection 2021.
3
Comparison of hospitalized patients with COVID-19 who did and did not live in residential care facilities in Montréal: a retrospective case series.比较在蒙特利尔居住在和未居住在长期护理院的 COVID-19 住院患者：一项回顾性病例系列研究。
CMAJ Open. 2021 Jul 13;9(3):E718-E727. doi: 10.9778/cmajo.20200244. Print 2021 Jul-Sep.
4
A simple score (Biovid-19) based on biological parameters predicts transfer to intensive care units and death in COVID-19 patients.基于生物学参数的简单评分（Biovid-19）可预测COVID-19患者转入重症监护病房及死亡情况。
Curr Res Transl Med. 2021 May;69(2):103284. doi: 10.1016/j.retram.2021.103284. Epub 2021 Mar 4.
5
Letter from Brazil.来自巴西的信。
Respirology. 2021 Nov;26(11):1085-1087. doi: 10.1111/resp.14164. Epub 2021 Oct 12.
6
Community-acquired pneumonia severity assessment tools in patients hospitalized with COVID-19: a validation and clinical applicability study.COVID-19 住院患者社区获得性肺炎严重程度评估工具：验证和临床适用性研究。
Clin Microbiol Infect. 2021 Jul;27(7):1037.e1-1037.e8. doi: 10.1016/j.cmi.2021.03.002. Epub 2021 Apr 2.
7
Increased extravascular lung water index (EVLWI) reflects rapid non-cardiogenic oedema and mortality in COVID-19 associated ARDS.血管外肺水指数（EVLWI）增加反映了 COVID-19 相关 ARDS 的快速非心源性水肿和死亡率。
Sci Rep. 2021 Jun 1;11(1):11524. doi: 10.1038/s41598-021-91043-3.
8
Association of chronic anticoagulant and antiplatelet use on disease severity in SARS-COV-2 infected patients.慢性抗凝和抗血小板药物使用与新型冠状病毒肺炎（SARS-CoV-2）感染患者疾病严重程度的关联。
J Thromb Thrombolysis. 2021 Aug;52(2):476-481. doi: 10.1007/s11239-021-02383-w. Epub 2021 Feb 1.
9
Predictors of mortality, ICU hospitalization, and extrapulmonary complications in COVID-19 patients.COVID-19 患者的死亡率、重症监护病房住院率和肺外并发症的预测因素。
Infect Dis Now. 2021 Sep;51(6):518-525. doi: 10.1016/j.idnow.2021.07.002. Epub 2021 Jul 7.
10
Predictors of adverse prognosis in COVID-19: A systematic review and meta-analysis.预测 COVID-19 不良预后的因素：系统评价和荟萃分析。
Eur J Clin Invest. 2020 Oct;50(10):e13362. doi: 10.1111/eci.13362. Epub 2020 Aug 27.

本文引用的文献

1
Collider bias undermines our understanding of COVID-19 disease risk and severity.撞击器偏差破坏了我们对 COVID-19 疾病风险和严重程度的理解。
Nat Commun. 2020 Nov 12;11(1):5749. doi: 10.1038/s41467-020-19478-2.
2
Laboratory Findings Associated With Severe Illness and Mortality Among Hospitalized Individuals With Coronavirus Disease 2019 in Eastern Massachusetts.马萨诸塞州东部住院的 2019 年冠状病毒病患者中严重疾病和死亡相关的实验室检查结果。
JAMA Netw Open. 2020 Oct 1;3(10):e2023934. doi: 10.1001/jamanetworkopen.2020.23934.
3
Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score.利用 ISARIC WHO 临床特征协议对因 COVID-19 住院的患者进行风险分层：4C 死亡率评分的制定和验证。
BMJ. 2020 Sep 9;370:m3339. doi: 10.1136/bmj.m3339.
4
Calculating the benefits of a Research Patient Data Repository.计算研究患者数据存储库的益处。
AMIA Annu Symp Proc. 2006;2006:1044.
5
Validation of a combined comorbidity index.一种合并症综合指数的验证
J Clin Epidemiol. 1994 Nov;47(11):1245-51. doi: 10.1016/0895-4356(94)90129-5.