• 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

新冠肺炎患者的住院轨迹:法国的一项观察性研究

Trajectories of Hospitalization in COVID-19 Patients: An Observational Study in France.

作者信息

Boëlle Pierre-Yves, Delory Tristan, Maynadier Xavier, Janssen Cécile, Piarroux Renaud, Pichenot Marie, Lemaire Xavier, Baclet Nicolas, Weyrich Pierre, Melliez Hugues, Meybeck Agnès, Lanoix Jean-Philippe, Robineau Olivier

机构信息

Sorbonne Université, Institut Pierre Louis d'Epidémiologie et de Santé Publique, INSERM, Assistance Publique - Hôpitaux de Paris, 75012 Paris, France.

Centre Hospitalier Annecy Genevois, 74370 Epagny-Metz-Tessy, France.

出版信息

J Clin Med. 2020 Sep 29;9(10):3148. doi: 10.3390/jcm9103148.

DOI:10.3390/jcm9103148
PMID:33003375
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7600846/
Abstract

Describing the characteristics of COVID-19 patients in the hospital is of importance to assist in the management of hospital capacity in the future. Here, we analyze the trajectories of 1321 patients admitted to hospitals in northern and eastern France. We found that the time from onset to hospitalization decreased with age, from 7.3 days in the 20-65 year-olds to 4.5 in the >80 year-olds ( < 0.0001). Overall, the length of stay in the hospital was 15.9 days, and the death rate was 20%. One patient out of four was admitted to the intensive care unit (ICU) for approximately one month. The characteristics of trajectories changed with age: fewer older patients were admitted to the ICU and the death rate was larger in the elderly. Admission shortly after onset was associated with increased mortality (odds-ratio (OR) = 1.8, Confidence Interval (CI) 95% [1.3, 2.6]) as well as male sex (OR = 2.1, CI 95% [1.5, 2.9]). Time from admission within the hospital to the transfer to ICU was short. The age- and sex-adjusted mortality rate decreased over the course of the epidemic, suggesting improvement in care over time. In the SARS-CoV-2 epidemic, the urgent need for ICU at admission and the prolonged length of stay in ICU are a challenge for bed management and organization of care.

摘要

描述新冠病毒肺炎住院患者的特征对于未来协助管理医院床位至关重要。在此,我们分析了法国北部和东部地区1321例住院患者的病程轨迹。我们发现,从发病到住院的时间随年龄增长而缩短,20至65岁患者为7.3天,80岁以上患者为4.5天(<0.0001)。总体而言,住院时间为15.9天,死亡率为20%。四分之一的患者入住重症监护病房(ICU)约一个月。病程轨迹特征随年龄变化:入住ICU的老年患者较少,且老年人死亡率更高。发病后不久入院与死亡率增加相关(优势比(OR)=1.8,95%置信区间(CI)[1.3, 2.6]),男性也是如此(OR = 2.1,CI 95% [1.5, 2.9])。从入院到转入ICU的时间较短。经年龄和性别调整后的死亡率在疫情期间有所下降,表明护理水平随时间推移有所改善。在新冠疫情中,入院时对ICU的迫切需求以及在ICU的长时间停留对床位管理和护理组织构成了挑战。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6ef/7600846/68ec58841bd9/jcm-09-03148-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6ef/7600846/68ec58841bd9/jcm-09-03148-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c6ef/7600846/68ec58841bd9/jcm-09-03148-g002.jpg

相似文献

1
Trajectories of Hospitalization in COVID-19 Patients: An Observational Study in France.新冠肺炎患者的住院轨迹:法国的一项观察性研究
J Clin Med. 2020 Sep 29;9(10):3148. doi: 10.3390/jcm9103148.
2
Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy.意大利伦巴第地区重症监护病房中 COVID-19 患者死亡的相关危险因素。
JAMA Intern Med. 2020 Oct 1;180(10):1345-1355. doi: 10.1001/jamainternmed.2020.3539.
3
Length of hospital stay and risk of intensive care admission and in-hospital death among COVID-19 patients in Norway: a register-based cohort study comparing patients fully vaccinated with an mRNA vaccine to unvaccinated patients.挪威 COVID-19 患者住院时间与入住重症监护病房和院内死亡风险的关系:一项基于登记的队列研究,比较了完全接种 mRNA 疫苗的患者与未接种疫苗的患者。
Clin Microbiol Infect. 2022 Jun;28(6):871-878. doi: 10.1016/j.cmi.2022.01.033. Epub 2022 Feb 25.
4
[Prognosis of patients planned and unplanned admission to the intensive care unit after surgery: a comparative study].[手术后计划和非计划入住重症监护病房患者的预后:一项比较研究]
Zhonghua Wei Zhong Bing Ji Jiu Yi Xue. 2023 Jul;35(7):746-751. doi: 10.3760/cma.j.cn121430-20230307-00147.
5
Deep vein thrombosis and pulmonary embolism among hospitalized coronavirus disease 2019-positive patients predicted for higher mortality and prolonged intensive care unit and hospital stays in a multisite healthcare system.在一个多机构医疗系统中,2019冠状病毒病检测呈阳性的住院患者发生深静脉血栓形成和肺栓塞预示着更高的死亡率以及更长的重症监护病房住院时间和医院住院时间。
J Vasc Surg Venous Lymphat Disord. 2021 Nov;9(6):1361-1370.e1. doi: 10.1016/j.jvsv.2021.03.009. Epub 2021 Apr 6.
6
Management of Renin-Angiotensin-Aldosterone System blockade in patients admitted to hospital with confirmed coronavirus disease (COVID-19) infection (The McGill RAAS-COVID- 19): A structured summary of a study protocol for a randomized controlled trial.伴有确诊的 2019 冠状病毒病(COVID-19)感染住院患者肾素-血管紧张素-醛固酮系统阻滞剂管理(麦吉尔 RAAS-COVID-19):一项随机对照试验研究方案的结构化总结。
Trials. 2021 Feb 5;22(1):115. doi: 10.1186/s13063-021-05080-4.
7
Functional trajectories among older persons before and after critical illness.危重症前后老年人的功能轨迹
JAMA Intern Med. 2015 Apr;175(4):523-9. doi: 10.1001/jamainternmed.2014.7889.
8
Characteristics and outcomes of patients with COVID-19 admitted to hospital and intensive care in the first phase of the pandemic in Canada: a national cohort study.加拿大疫情第一阶段住院和重症监护的 COVID-19 患者的特征和结局:一项全国性队列研究。
CMAJ Open. 2021 Mar 8;9(1):E181-E188. doi: 10.9778/cmajo.20200250. Print 2021 Jan-Mar.
9
Comparison of characteristics, predictors and outcomes between the first and second COVID-19 waves in a tertiary care centre in Switzerland: an observational analysis.瑞士一家三级保健中心的第一波和第二波 COVID-19 之间的特征、预测因素和结局比较:一项观察性分析。
Swiss Med Wkly. 2021 Aug 10;151:w20569. doi: 10.4414/smw.2021.20569. eCollection 2021 Aug 2.
10
Risk Factors Associated With In-Hospital Mortality in a US National Sample of Patients With COVID-19.与美国 COVID-19 患者住院死亡率相关的风险因素。
JAMA Netw Open. 2020 Dec 1;3(12):e2029058. doi: 10.1001/jamanetworkopen.2020.29058.

引用本文的文献

1
Dissecting clinical features of COVID-19 in a cohort of 21,312 acute care patients.剖析21312例急性护理患者队列中新冠病毒病的临床特征。
Commun Med (Lond). 2025 Apr 25;5(1):138. doi: 10.1038/s43856-025-00844-4.
2
Patients With Inflammatory Bowel Disease Are at Increased Risk of Respiratory Syncytial Virus Infections After Severe Acute Respiratory Syndrome Coronavirus 2 Infection: A Propensity-Matched Cohort Analysis.炎症性肠病患者在感染严重急性呼吸综合征冠状病毒2后发生呼吸道合胞病毒感染的风险增加:一项倾向匹配队列分析。
Clin Transl Gastroenterol. 2025 May 1;16(5):e00840. doi: 10.14309/ctg.0000000000000840.
3
Dissecting Clinical Features of COVID-19 in a Cohort of 21,312 Acute Care Patients.

本文引用的文献

1
Biased and unbiased estimation of the average length of stay in intensive care units in the Covid-19 pandemic.新冠疫情期间重症监护病房平均住院时间的有偏估计和无偏估计
Ann Intensive Care. 2020 Oct 16;10(1):135. doi: 10.1186/s13613-020-00749-6.
2
Coagulation biomarkers are independent predictors of increased oxygen requirements in COVID-19.凝血生物标志物是 COVID-19 患者需氧量增加的独立预测因子。
J Thromb Haemost. 2020 Nov;18(11):2942-2953. doi: 10.1111/jth.15067. Epub 2020 Sep 18.
3
COVID-19 length of hospital stay: a systematic review and data synthesis.
21312例急性护理患者队列中新型冠状病毒肺炎的临床特征剖析
medRxiv. 2023 Nov 27:2023.11.27.23297171. doi: 10.1101/2023.11.27.23297171.
4
Survival Analysis of Hospital Length of Stay of COVID-19 Patients in Ilam Province, Iran: A Retrospective Cross-Sectional Study.伊朗伊拉姆省新冠肺炎患者住院时间的生存分析:一项回顾性横断面研究
J Clin Med. 2023 Oct 23;12(20):6678. doi: 10.3390/jcm12206678.
5
Delay-differential SEIR modeling for improved modelling of infection dynamics.延迟差分 SEIR 模型改进传染病动力学建模。
Sci Rep. 2023 Aug 18;13(1):13439. doi: 10.1038/s41598-023-40008-9.
6
SARS-CoV-2 in Nursing Homes: Analysis of Routine Surveillance Data in Four European Countries.养老院中的新型冠状病毒 2:四个欧洲国家常规监测数据分析
Aging Dis. 2023 Apr 1;14(2):325-330. doi: 10.14336/AD.2022.0820.
7
Infection with SARS-CoV-2 variant Gamma (P.1) in Chile increased ICU admission risk three to five-fold.在智利,感染 SARS-CoV-2 变异株 Gamma(P.1)使 ICU 入院风险增加了三到五倍。
PLoS One. 2023 Mar 24;18(3):e0283085. doi: 10.1371/journal.pone.0283085. eCollection 2023.
8
Forecasting hospital-level COVID-19 admissions using real-time mobility data.利用实时移动性数据预测医院层面的新冠病毒肺炎住院人数
Commun Med (Lond). 2023 Feb 14;3(1):25. doi: 10.1038/s43856-023-00253-5.
9
MELD-Na score, Acute Physiologic and Chronic Health Evaluation II score, and SOFA score and their association with mortality in critically ill COVID-19 patients with liver injury: A retrospective single-center study.终末期肝病模型钠评分、急性生理与慢性健康状况评分系统II评分及序贯器官衰竭评估评分及其与新冠肺炎合并肝损伤重症患者死亡率的关联:一项回顾性单中心研究
Int J Crit Illn Inj Sci. 2022 Oct-Dec;12(4):222-228. doi: 10.4103/ijciis.ijciis_29_22. Epub 2022 Dec 26.
10
A multistate model and its standalone tool to predict hospital and ICU occupancy by patients with COVID-19.一种用于预测新冠肺炎患者医院和重症监护病房占用情况的多状态模型及其独立工具。
Heliyon. 2023 Feb;9(2):e13545. doi: 10.1016/j.heliyon.2023.e13545. Epub 2023 Feb 5.
COVID-19 住院时间:系统评价和数据综合。
BMC Med. 2020 Sep 3;18(1):270. doi: 10.1186/s12916-020-01726-3.
4
Retrospective analysis of high flow nasal therapy in COVID-19-related moderate-to-severe hypoxaemic respiratory failure.回顾性分析高流量鼻导管通气在 COVID-19 相关中重度低氧血症性呼吸衰竭中的应用。
BMJ Open Respir Res. 2020 Aug;7(1). doi: 10.1136/bmjresp-2020-000650.
5
Dexamethasone in Hospitalized Patients with Covid-19.地塞米松在 COVID-19 住院患者中的应用。
N Engl J Med. 2021 Feb 25;384(8):693-704. doi: 10.1056/NEJMoa2021436. Epub 2020 Jul 17.
6
Risk Factors Associated With Mortality Among Patients With COVID-19 in Intensive Care Units in Lombardy, Italy.意大利伦巴第地区重症监护病房中 COVID-19 患者死亡的相关危险因素。
JAMA Intern Med. 2020 Oct 1;180(10):1345-1355. doi: 10.1001/jamainternmed.2020.3539.
7
Factors Associated With Death in Critically Ill Patients With Coronavirus Disease 2019 in the US.与美国 2019 年冠状病毒病危重症患者死亡相关的因素。
JAMA Intern Med. 2020 Nov 1;180(11):1436-1447. doi: 10.1001/jamainternmed.2020.3596.
8
Pathophysiology, Transmission, Diagnosis, and Treatment of Coronavirus Disease 2019 (COVID-19): A Review.新型冠状病毒病 2019(COVID-19)的病理生理学、传播、诊断和治疗:综述。
JAMA. 2020 Aug 25;324(8):782-793. doi: 10.1001/jama.2020.12839.
9
Persistent Symptoms in Patients After Acute COVID-19.急性 COVID-19 后患者的持续症状。
JAMA. 2020 Aug 11;324(6):603-605. doi: 10.1001/jama.2020.12603.
10
COVID-19 scenario modelling for the mitigation of capacity-dependent deaths in intensive care.COVID-19 情景建模以减轻重症监护中与能力相关的死亡。
Health Care Manag Sci. 2020 Sep;23(3):315-324. doi: 10.1007/s10729-020-09511-7. Epub 2020 Jul 8.