• 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

相似文献

1
The COVID-19 hospitalization metric in the pre- and postvaccination eras as a measure of pandemic severity: A retrospective, nationwide cohort study.疫苗接种前后时代的 COVID-19 住院指标作为大流行严重程度的衡量标准:一项回顾性、全国性队列研究。
Infect Control Hosp Epidemiol. 2022 Dec;43(12):1767-1772. doi: 10.1017/ice.2022.13. Epub 2022 Jan 11.
2
Factors Associated With Severe COVID-19 Among Vaccinated Adults Treated in US Veterans Affairs Hospitals.与接受美国退伍军人事务部医院治疗的已接种疫苗成年人中 COVID-19 重症相关的因素。
JAMA Netw Open. 2022 Oct 3;5(10):e2240037. doi: 10.1001/jamanetworkopen.2022.40037.
3
Safety and Efficacy of Imatinib for Hospitalized Adults with COVID-19: A structured summary of a study protocol for a randomised controlled trial.COVID-19 住院成人患者使用伊马替尼的安全性和疗效:一项随机对照试验研究方案的结构化总结。
Trials. 2020 Oct 28;21(1):897. doi: 10.1186/s13063-020-04819-9.
4
COVID-19 Cases and Hospitalizations by COVID-19 Vaccination Status and Previous COVID-19 Diagnosis - California and New York, May-November 2021.COVID-19 病例和住院情况按 COVID-19 疫苗接种状况和既往 COVID-19 诊断情况划分-加利福尼亚州和纽约州,2021 年 5 月至 11 月。
MMWR Morb Mortal Wkly Rep. 2022 Jan 28;71(4):125-131. doi: 10.15585/mmwr.mm7104e1.
5
Postvaccination infections among staff of a tertiary care hospital after vaccination with severe acute respiratory syndrome coronavirus 2 vector and mRNA-based vaccines.接种严重急性呼吸综合征冠状病毒 2 载体疫苗和基于 mRNA 的疫苗后,一家三级保健医院工作人员的疫苗接种后感染。
Clin Microbiol Infect. 2022 Apr;28(4):596-601. doi: 10.1016/j.cmi.2021.11.023. Epub 2021 Dec 13.
6
Impact of changing case definitions for coronavirus disease 2019 (COVID-19) hospitalization on pandemic metrics.改变 2019 冠状病毒病(COVID-19)住院病例定义对大流行指标的影响。
Infect Control Hosp Epidemiol. 2023 Sep;44(9):1458-1466. doi: 10.1017/ice.2022.300. Epub 2023 Mar 13.
7
Severity of Disease Among Adults Hospitalized with Laboratory-Confirmed COVID-19 Before and During the Period of SARS-CoV-2 B.1.617.2 (Delta) Predominance - COVID-NET, 14 States, January-August 2021.成人因实验室确诊的 COVID-19 住院的严重程度在 SARS-CoV-2 B.1.617.2(Delta)流行之前和期间-COVID-NET,14 个州,2021 年 1 月至 8 月。
MMWR Morb Mortal Wkly Rep. 2021 Oct 29;70(43):1513-1519. doi: 10.15585/mmwr.mm7043e1.
8
SARS-CoV-2 Infections and Hospitalizations Among Persons Aged ≥16 Years, by Vaccination Status - Los Angeles County, California, May 1-July 25, 2021.2021 年 5 月 1 日至 7 月 25 日,加利福尼亚州洛杉矶县≥16 岁人群中,根据疫苗接种状况划分的 SARS-CoV-2 感染和住院情况。
MMWR Morb Mortal Wkly Rep. 2021 Aug 27;70(34):1170-1176. doi: 10.15585/mmwr.mm7034e5.
9
Clinical Characteristics and Outcomes Among Adults Hospitalized with Laboratory-Confirmed SARS-CoV-2 Infection During Periods of B.1.617.2 (Delta) and B.1.1.529 (Omicron) Variant Predominance - One Hospital, California, July 15-September 23, 2021, and December 21, 2021-January 27, 2022.2021 年 7 月 15 日至 9 月 23 日和 2021 年 12 月 21 日至 2022 年 1 月 27 日期间,加利福尼亚州一家医院因实验室确诊的 SARS-CoV-2 感染住院的成年人的临床特征和结局,期间 B.1.617.2(德尔塔)和 B.1.1.529(奥密克戎)变异株占主导地位。
MMWR Morb Mortal Wkly Rep. 2022 Feb 11;71(6):217-223. doi: 10.15585/mmwr.mm7106e2.
10
Decreased severity of COVID-19 in vaccinated pregnant individuals during predominance of different SARS-CoV-2 variants.接种疫苗的孕妇在不同 SARS-CoV-2 变异株流行期间 COVID-19 严重程度降低。
Am J Reprod Immunol. 2022 Sep;88(3):e13596. doi: 10.1111/aji.13596. Epub 2022 Jul 15.

引用本文的文献

1
Impact of lifting school mask mandates on community SARS-CoV-2 cases, hospitalizations, and deaths: a retrospective observational study.取消学校口罩强制令对社区严重急性呼吸综合征冠状病毒2型病例、住院率和死亡率的影响:一项回顾性观察研究。
Front Public Health. 2025 Jun 12;13:1579202. doi: 10.3389/fpubh.2025.1579202. eCollection 2025.
2
Leveraging near-real-time patient and population data to incorporate fluctuating risk of severe COVID-19: development and prospective validation of a personalised risk prediction tool.利用近乎实时的患者和人群数据纳入新冠重症波动风险:一种个性化风险预测工具的开发与前瞻性验证
EClinicalMedicine. 2025 Feb 21;81:103114. doi: 10.1016/j.eclinm.2025.103114. eCollection 2025 Mar.
3
Estimating the Number of Primary vs Incidental COVID-19 Hospitalizations in Santa Clara County.估算圣克拉拉县原发性与偶发性新冠肺炎住院病例数。
Open Forum Infect Dis. 2025 Feb 11;12(3):ofaf078. doi: 10.1093/ofid/ofaf078. eCollection 2025 Mar.
4
Pulmonary aspergillosis in US Veterans with COVID-19: a nationwide, retrospective cohort study.美国新冠肺炎退伍军人的肺曲霉病:一项全国性回顾性队列研究。
Antimicrob Steward Healthc Epidemiol. 2025 Jan 30;5(1):e28. doi: 10.1017/ash.2024.476. eCollection 2025.
5
Refining the hospitalization rate: A mixed methods approach to differentiate primary COVID-19 from incidental cases.优化住院率:一种区分原发性新冠病毒感染与偶发病例的混合方法。
Infect Prev Pract. 2024 May 15;6(3):100371. doi: 10.1016/j.infpip.2024.100371. eCollection 2024 Sep.
6
Identification of predictive patient characteristics for assessing the probability of COVID-19 in-hospital mortality.识别用于评估COVID-19院内死亡概率的预测性患者特征。
PLOS Digit Health. 2024 Apr 23;3(4):e0000327. doi: 10.1371/journal.pdig.0000327. eCollection 2024 Apr.
7
Differentiating patients admitted primarily due to coronavirus disease 2019 (COVID-19) from those admitted with incidentally detected severe acute respiratory syndrome corona-virus type 2 (SARS-CoV-2) at hospital admission: A cohort analysis of German hospital records.在医院入院时区分主要因 2019 年冠状病毒病(COVID-19)而入院的患者和因偶然发现的严重急性呼吸综合征冠状病毒 2 型(SARS-CoV-2)而入院的患者:德国医院记录的队列分析。
Infect Control Hosp Epidemiol. 2024 Jun;45(6):746-753. doi: 10.1017/ice.2024.3. Epub 2024 Feb 14.
8
Comparing methods to classify admitted patients with SARS-CoV-2 as admitted for COVID-19 versus with incidental SARS-CoV-2: A cohort study.比较分类因 SARS-CoV-2 而住院的患者为因 COVID-19 住院与因 SARS-CoV-2 偶然感染而住院的方法:一项队列研究。
PLoS One. 2023 Sep 26;18(9):e0291580. doi: 10.1371/journal.pone.0291580. eCollection 2023.
9
Embracing dynamic public health policy impacts in infectious diseases responses: leveraging implementation science to improve practice.拥抱传染病应对中动态公共卫生政策的影响:利用实施科学来改善实践。
Front Public Health. 2023 Aug 17;11:1207679. doi: 10.3389/fpubh.2023.1207679. eCollection 2023.
10
Comparing Natural Language Processing and Structured Medical Data to Develop a Computable Phenotype for Patients Hospitalized Due to COVID-19: Retrospective Analysis.比较自然语言处理和结构化医学数据以开发COVID-19住院患者的可计算表型:回顾性分析
JMIR Med Inform. 2023 Aug 22;11:e46267. doi: 10.2196/46267.

疫苗接种前后时代的 COVID-19 住院指标作为大流行严重程度的衡量标准:一项回顾性、全国性队列研究。

The COVID-19 hospitalization metric in the pre- and postvaccination eras as a measure of pandemic severity: A retrospective, nationwide cohort study.

机构信息

Department of Medicine, Veterans' Affairs (VA) Boston Healthcare System, Boston, Massachusetts.

Dana Farber Cancer Institute, Boston, Massachusetts.

出版信息

Infect Control Hosp Epidemiol. 2022 Dec;43(12):1767-1772. doi: 10.1017/ice.2022.13. Epub 2022 Jan 11.

DOI:10.1017/ice.2022.13
PMID:35012694
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9021586/
Abstract

BACKGROUND

Coronavirus disease 2019 (COVID-19) hospitalization definitions do not include a disease severity assessment. Thus, we sought to identify a simple and objective mechanism for identifying hospitalized severe cases and to measure the impact of vaccination on trends.

METHODS

All admissions to a Veterans' Affairs (VA) hospital, where routine inpatient screening is recommended, between March 1, 2020, and November 22, 2021, with laboratory-confirmed severe acute respiratory coronavirus virus 2 (SARS-CoV-2) were included. Moderate-to-severe COVID-19 was defined as any oxygen supplementation or any oxygen saturation (SpO) <94% between 1 day before and 2 weeks after the positive SARS-CoV-2 test. Admissions with moderate-to-severe disease were divided by the total number of admissions, and the proportion of admissions with moderate-to-severe COVID-19 was modelled using a penalized spline in a Poisson regression and stratified by vaccination status. Dexamethasone receipt and its correlation with moderate-to-severe cases was also assessed.

RESULTS

Among 67,025 admissions with SARS-CoV-2, the proportion with hypoxemia or supplemental oxygen fell from 64% prior to vaccine availability to 56% by November 2021, driven in part by lower rates in vaccinated patients (vaccinated, 52% versus unvaccinated, 58%). The proportion of cases of moderate-to-severe disease identified using SpO levels and oxygen supplementation was highly correlated with dexamethasone receipt (correlation coefficient, 0.95), and increased after July 1, 2021, concurrent with δ (delta) variant predominance.

CONCLUSIONS

A simple and objective definition of COVID-19 hospitalizations using SpO levels and oxygen supplementation can be used to track pandemic severity. This metric could be used to identify risk factors for severe breakthrough infections, to guide clinical treatment algorithms, and to detect trends in changes in vaccine effectiveness over time and against new variants.

摘要

背景

2019 年冠状病毒病(COVID-19)住院定义不包括疾病严重程度评估。因此,我们试图寻找一种简单而客观的机制来识别住院重症病例,并衡量疫苗接种对趋势的影响。

方法

所有在退伍军人事务部(VA)医院住院的患者,该医院推荐常规进行住院筛查,时间为 2020 年 3 月 1 日至 2021 年 11 月 22 日,实验室确诊为严重急性呼吸冠状病毒 2(SARS-CoV-2)。中度至重度 COVID-19 定义为 SARS-CoV-2 检测阳性前 1 天至 2 周内任何氧疗或任何血氧饱和度(SpO2)<94%。根据总住院人数将患有中度至重度疾病的患者进行分组,并使用泊松回归中的惩罚样条模型对 SpO2 水平和氧疗与中度至重度 COVID-19 住院人数的比例进行建模,并按疫苗接种状况进行分层。还评估了地塞米松的使用及其与中度至重度病例的相关性。

结果

在 67025 例 SARS-CoV-2 住院患者中,有低氧血症或需要补充氧气的患者比例从疫苗供应前的 64%下降到 2021 年 11 月的 56%,部分原因是接种疫苗患者的比例较低(接种疫苗者为 52%,未接种疫苗者为 58%)。使用 SpO2 水平和氧疗来确定中度至重度疾病的比例与地塞米松的使用高度相关(相关系数为 0.95),并且自 2021 年 7 月 1 日以来,随着 δ(德尔塔)变异的流行而增加。

结论

使用 SpO2 水平和氧疗来简单而客观地定义 COVID-19 住院可以用来跟踪大流行的严重程度。该指标可用于识别严重突破性感染的危险因素,指导临床治疗算法,并检测随着时间的推移和针对新变体疫苗有效性变化的趋势。