• 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

在 COVID-19 浪潮期间,初级保健中的急性呼吸道感染率可预测 ICU 床位占用率。

Acute respiratory infection rates in primary care anticipate ICU bed occupancy during COVID-19 waves.

机构信息

Riskcenter-IREA, Department of Econometrics, University of Barcelona, Barcelona, Spain.

CatSalut Care Management Direction, Generalitat de Catalunya, Barcelona, Spain.

出版信息

PLoS One. 2022 May 4;17(5):e0267428. doi: 10.1371/journal.pone.0267428. eCollection 2022.

DOI:10.1371/journal.pone.0267428
PMID:35507567
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9067638/
Abstract

BACKGROUND

Bed occupancy in the ICU is a major constraint to in-patient care during COVID-19 pandemic. Diagnoses of acute respiratory infection (ARI) by general practitioners have not previously been investigated as an early warning indicator of ICU occupancy.

METHODS

A population-based central health care system registry in the autonomous community of Catalonia, Spain, was used to analyze all diagnoses of ARI related to COVID-19 established by general practitioners and the number of occupied ICU beds in all hospitals from Catalonia between March 26, 2020 and January 20, 2021. The primary outcome was the cross-correlation between the series of COVID-19-related ARI cases and ICU bed occupancy taking into account the effect of bank holidays and weekends. Recalculations were later implemented until March 27, 2022.

FINDINGS

Weekly average incidence of ARI diagnoses increased from 252.7 per 100,000 in August, 2020 to 496.5 in October, 2020 (294.2 in November, 2020), while the average number of ICU beds occupied by COVID-19-infected patients rose from 1.7 per 100,000 to 3.5 in the same period (6.9 in November, 2020). The incidence of ARI detected in the primary care setting anticipated hospital occupancy of ICUs, with a maximum correlation of 17.3 days in advance (95% confidence interval 15.9 to 18.9).

INTERPRETATION

COVID-19-related ARI cases may be a novel warning sign of ICU occupancy with a delay of over two weeks, a latency window period for establishing restrictions on social contacts and mobility to mitigate the propagation of COVID-19. Monitoring ARI cases would enable immediate adoption of measures to prevent ICU saturation in future waves.

摘要

背景

在 COVID-19 大流行期间,重症监护病房(ICU)的床位占用是限制住院治疗的主要因素。全科医生诊断的急性呼吸道感染(ARI)此前并未被视为 ICU 床位占用的预警指标。

方法

利用西班牙加泰罗尼亚自治区的一个基于人群的中央医疗保健系统登记处,分析了全科医生诊断的与 COVID-19 相关的所有 ARI 病例,以及 2020 年 3 月 26 日至 2021 年 1 月 20 日期间加泰罗尼亚所有医院占用的 ICU 床位数量。主要结局是考虑到银行假日和周末的影响,对 COVID-19 相关 ARI 病例和 ICU 床位占用的系列进行交叉相关分析。后来,直到 2022 年 3 月 27 日,又进行了重新计算。

结果

每周平均 ARI 诊断发病率从 2020 年 8 月的 252.7/100,000 上升到 2020 年 10 月的 496.5/100,000(2020 年 11 月的 294.2/100,000),而同期 COVID-19 感染患者占用的 ICU 床位数量从 1.7/100,000 上升到 3.5/100,000(2020 年 11 月的 6.9/100,000)。初级保健机构检测到的 ARI 发病率预测了 ICU 的床位占用情况,提前最大相关性为 17.3 天(95%置信区间 15.9 至 18.9)。

解释

COVID-19 相关的 ARI 病例可能是 ICU 床位占用的一个新的预警信号,潜伏期超过两周,这是为了限制社会接触和流动性以减轻 COVID-19 传播而建立限制措施的潜伏期窗口。监测 ARI 病例将使我们能够在未来的浪潮中立即采取措施,防止 ICU 饱和。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/9067638/2ce8f9faf309/pone.0267428.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/9067638/83f3ba61b2ec/pone.0267428.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/9067638/2ce8f9faf309/pone.0267428.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/9067638/83f3ba61b2ec/pone.0267428.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d201/9067638/2ce8f9faf309/pone.0267428.g002.jpg

相似文献

1
Acute respiratory infection rates in primary care anticipate ICU bed occupancy during COVID-19 waves.在 COVID-19 浪潮期间,初级保健中的急性呼吸道感染率可预测 ICU 床位占用率。
PLoS One. 2022 May 4;17(5):e0267428. doi: 10.1371/journal.pone.0267428. eCollection 2022.
2
Flexibility and Bed Margins of the Community of Madrid's Hospitals during the First Wave of the SARS-CoV-2 Pandemic.马德里社区医院在 SARS-CoV-2 大流行第一波期间的灵活性和床位情况。
Int J Environ Res Public Health. 2021 Mar 28;18(7):3510. doi: 10.3390/ijerph18073510.
3
[Intensive care bed requirements for COVID-19 in the fall/winter of 2021 : Simulation of different scenarios under consideration of incidences and vaccination rates].[2021年秋冬新冠疫情重症监护病床需求:考虑发病率和疫苗接种率的不同情景模拟]
Med Klin Intensivmed Notfmed. 2022 Sep;117(6):439-446. doi: 10.1007/s00063-021-00862-9. Epub 2021 Aug 9.
4
Fitting a stochastic model of intensive care occupancy to noisy hospitalization time series during the COVID-19 pandemic.在 COVID-19 大流行期间,将重症监护占用的随机模型拟合到嘈杂的住院时间序列。
Stat Med. 2023 Dec 10;42(28):5189-5206. doi: 10.1002/sim.9907. Epub 2023 Sep 14.
5
Six-month post-intensive care outcomes during high and low bed occupancy due to the COVID-19 pandemic: A multicenter prospective cohort study.因 COVID-19 大流行导致高床位占用率和低床位占用率情况下的重症监护后 6 个月结局:一项多中心前瞻性队列研究。
PLoS One. 2023 Nov 16;18(11):e0294631. doi: 10.1371/journal.pone.0294631. eCollection 2023.
6
COVID-19 Pandemic Preparedness in Egypt's Teaching Hospitals: A Needs Assessment Study.埃及教学医院应对 COVID-19 大流行的准备情况:需求评估研究。
Front Public Health. 2022 Jan 17;9:748666. doi: 10.3389/fpubh.2021.748666. eCollection 2021.
7
Difference in determinants of ICU admission and death among COVID-19 hospitalized patients in two epidemic waves in Portugal: possible impact of healthcare burden and hospital bed occupancy on clinical management and outcomes, March-December 2020.葡萄牙两波 COVID-19 住院患者 ICU 入院和死亡的决定因素差异:医疗负担和病床占用对临床管理和结局的可能影响,2020 年 3 月至 12 月。
Front Public Health. 2023 Jun 29;11:1215833. doi: 10.3389/fpubh.2023.1215833. eCollection 2023.
8
Capacity and organisation of Madrid's community hospitals during first wave of COVID-19 pandemic.马德里社区医院在 COVID-19 大流行第一波期间的容量和组织。
J Healthc Qual Res. 2022 Sep-Oct;37(5):275-282. doi: 10.1016/j.jhqr.2022.02.002. Epub 2022 Feb 25.
9
Hospital bed capacity and usage across secondary healthcare providers in England during the first wave of the COVID-19 pandemic: a descriptive analysis.英格兰二级保健提供者在 COVID-19 大流行第一波期间的医院病床容量和使用情况:描述性分析。
BMJ Open. 2021 Jan 26;11(1):e042945. doi: 10.1136/bmjopen-2020-042945.
10
Occupancy of the Departments of Intensive Care Medicine in Catalonia (Spain): A prospective, analytical cohort study.西班牙加泰罗尼亚重症医学科的床位占用情况:一项前瞻性分析队列研究。
Med Intensiva. 2015 Dec;39(9):537-42. doi: 10.1016/j.medin.2014.11.002. Epub 2015 Jan 5.

引用本文的文献

1
Underreporting of Cases in the COVID-19 Outbreak of Borriana (Spain) during Mass Gathering Events in March 2020: A Cross-Sectional Study.2020年3月西班牙博里亚纳大规模聚集活动期间新冠疫情病例报告不足情况:一项横断面研究
Epidemiologia (Basel). 2024 Aug 9;5(3):499-510. doi: 10.3390/epidemiologia5030034.

本文引用的文献

1
Time Evolution of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in Wastewater during the First Pandemic Wave of COVID-19 in the Metropolitan Area of Barcelona, Spain.西班牙巴塞罗那大都市区首次 COVID-19 大流行期间废水中严重急性呼吸综合征冠状病毒 2(SARS-CoV-2)的时间演变。
Appl Environ Microbiol. 2021 Mar 11;87(7). doi: 10.1128/AEM.02750-20.
2
System impacts of the COVID-19 pandemic on New York City's emergency medical services.新冠疫情对纽约市紧急医疗服务的系统影响。
J Am Coll Emerg Physicians Open. 2020 Nov 9;1(6):1205-1213. doi: 10.1002/emp2.12301. eCollection 2020 Dec.
3
COVID-19 in Spain: view from the eye of the storm.
西班牙的新冠肺炎疫情:风暴眼中的景象
Lancet Public Health. 2021 Jan;6(1):e10. doi: 10.1016/S2468-2667(20)30286-3. Epub 2020 Dec 7.
4
Estimating the real burden of disease under a pandemic situation: The SARS-CoV2 case.在大流行情况下估计疾病的实际负担:SARS-CoV2 病例。
PLoS One. 2020 Dec 3;15(12):e0242956. doi: 10.1371/journal.pone.0242956. eCollection 2020.
5
Early indicators of intensive care unit bed requirement during the COVID-19 epidemic: A retrospective study in Ile-de-France region, France.COVID-19 疫情期间重症监护病房床位需求的早期指标:法国法兰西岛地区的回顾性研究。
PLoS One. 2020 Nov 18;15(11):e0241406. doi: 10.1371/journal.pone.0241406. eCollection 2020.
6
Elasticity as a measure for online determination of remission points in ongoing epidemics.作为一种衡量指标,用于在线确定持续流行中的缓解点。
Stat Med. 2021 Feb 20;40(4):865-884. doi: 10.1002/sim.8807. Epub 2020 Nov 10.
7
False-positive COVID-19 results: hidden problems and costs.新冠病毒检测假阳性结果:潜在问题与成本
Lancet Respir Med. 2020 Dec;8(12):1167-1168. doi: 10.1016/S2213-2600(20)30453-7. Epub 2020 Sep 29.
8
Access to intensive care in 14 European countries: a spatial analysis of intensive care need and capacity in the light of COVID-19.14 个欧洲国家的重症监护病房资源获取情况:基于 COVID-19 分析重症监护需求和能力的空间分析。
Intensive Care Med. 2020 Nov;46(11):2026-2034. doi: 10.1007/s00134-020-06229-6. Epub 2020 Sep 4.
9
Development and validation of a model for individualized prediction of hospitalization risk in 4,536 patients with COVID-19.开发和验证一种模型,用于对 4536 例 COVID-19 患者的住院风险进行个体化预测。
PLoS One. 2020 Aug 11;15(8):e0237419. doi: 10.1371/journal.pone.0237419. eCollection 2020.
10
Digital technologies in the public-health response to COVID-19.数字技术在应对 COVID-19 中的公共卫生响应。
Nat Med. 2020 Aug;26(8):1183-1192. doi: 10.1038/s41591-020-1011-4. Epub 2020 Aug 7.