• 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

智利一个社区医疗网络中,SARS-CoV-2感染的人口统计学、临床特征与严重并发症之间的关联。

Association between demographic, clinical characteristics and severe complications by SARS-CoV-2 infection in a community-based healthcare network in Chile.

作者信息

Leniz Javiera, Hernández-Jaña Sam, Soto Mauricio, Arenas Eduardo, Margozzini Paula, Suarez Francisco, Capurro Daniel, Rojas María Paulina, Bambs Claudia

机构信息

Escuela de Salud Pública, Facultad de Medicina, Pontificia Universidad Católica de Chile, Santiago, Chile.

IRyS Group, Physical Education School, Pontificia Universidad Católica de Valparaíso, Valparaíso, Chile.

出版信息

PLoS One. 2024 Dec 30;19(12):e0314376. doi: 10.1371/journal.pone.0314376. eCollection 2024.

DOI:10.1371/journal.pone.0314376
PMID:39775294
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11684639/
Abstract

BACKGROUND

Most of the evidence on risk factors for COVID-19 complications comes from North America or Europe with very little research from Latin-America. We aimed to evaluate the association between sociodemographic, clinical factors and the risk of COVID-19 complications among adults in Chile, the fifth Latin-American country with more COVID-19 reported cases since de beginning of the Pandemic.

METHODS

A retrospective population-based cohort study using data from electronic health records from a large Primary Care Network, linked to national hospital, immunization, Covid-19 PCR surveillance, mortality and birth records. We included people 18+ years old enrolled in the Primary Care Network between 1st January 2020 and 31st December 2021. Using Multivariate Cox proportional hazard models, we evaluate the association between sociodemographic, clinical characteristics with three COVID-19 complications: (1) a hospital admission, (2) an ICU admission, and (3) death due to a COVID-19 infection that occurred between the 1st January 2020 and the 31st December 2021.

RESULTS

44,674 people were included. The mean age was 44.30 (sd 17.31), 55.6% were female, 15.9% had a type of healthcare insurance for people from the lowest category of income, 11.6% and 9.4% had a record of hypertension or diabetes mellitus diagnosis. Among the 44,674 people, 455 (1.02%) had a hospital admission due to a COVID-19 infection and 216(0.48%) of them also had an ICU admission. Among the 44,674 people,148(0.33%) died due to COVID-19 infection. Older age and male sex were consistently associated with a higher risk of the three COVID-19 complications. Hypertension and diabetes were associated with a higher risk of a hospital admission and death, but not with an ICU admissions due to COVID-19 infection. Having two or more COVID-19 vaccine doses compared with no doses was associated with a lower risk of any hospital admission (HR 0.81; 95% CI 0.77-0.84), an ICU admission (HR 0.60; 95% CI 0.57-0.63) and death (HR 0.50; 95% CI 0.46-0.54). Pregnant or puerperal women were more likely to be admitted to hospital (HR 2.89; 95% CI 1.41-5.89) or ICU (HR 3.04; 95% CI 1.01-9.14).

CONCLUSIONS

Sociodemographic and clinical factors associated with COVID-19 complications such as age, sex and pre-existing conditions were comparable to those reported in similar studies from higher-income countries, and can be used to predict severity in COVID-19 patients.

摘要

背景

关于新冠病毒疾病(COVID-19)并发症风险因素的大多数证据来自北美或欧洲,拉丁美洲的相关研究很少。我们旨在评估社会人口统计学、临床因素与智利成年人中COVID-19并发症风险之间的关联,智利是自疫情开始以来报告COVID-19病例数第五多的拉丁美洲国家。

方法

一项基于人群的回顾性队列研究,使用来自大型初级保健网络电子健康记录的数据,并与国家医院、免疫接种、COVID-19聚合酶链反应监测、死亡率和出生记录相链接。我们纳入了2020年1月1日至2021年12月31日期间在初级保健网络登记的18岁及以上人群。使用多变量Cox比例风险模型,我们评估社会人口统计学、临床特征与三种COVID-19并发症之间的关联:(1)住院,(2)入住重症监护病房(ICU),以及(3)2020年1月1日至2021年12月31日期间因COVID-19感染死亡。

结果

共纳入44674人。平均年龄为44.30岁(标准差17.31),55.6%为女性,15.9%拥有针对最低收入人群的某种医疗保险,11.6%和9.4%有高血压或糖尿病诊断记录。在这44674人中,455人(1.02%)因COVID-19感染住院,其中216人(0.48%)也入住了ICU。在这44674人中,148人(0.33%)因COVID-19感染死亡。年龄较大和男性一直与三种COVID-19并发症的较高风险相关。高血压和糖尿病与住院和死亡的较高风险相关,但与因COVID-19感染入住ICU无关。与未接种疫苗相比,接种两剂或更多剂COVID-19疫苗与任何住院风险较低(风险比[HR]0.81;95%置信区间[CI]0.77 - 0.84)、入住ICU风险较低(HR 0.60;95% CI 0.57 - 0.63)和死亡风险较低(HR 0.50;95% CI 0.46 - 0.54)相关。孕妇或产后妇女更有可能住院(HR 2.89;95% CI 1.41 - 5.89)或入住ICU(HR 3.04;95% CI 1.01 - 9.14)。

结论

与COVID-19并发症相关的社会人口统计学和临床因素,如年龄、性别和基础疾病,与高收入国家类似研究中报告的因素相当,可用于预测COVID-19患者的病情严重程度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/1a8a884b8cf1/pone.0314376.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/91f57bb145ad/pone.0314376.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/2ae3645aab3f/pone.0314376.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/35c5931d032d/pone.0314376.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/1a8a884b8cf1/pone.0314376.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/91f57bb145ad/pone.0314376.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/2ae3645aab3f/pone.0314376.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/35c5931d032d/pone.0314376.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8372/11684639/1a8a884b8cf1/pone.0314376.g004.jpg

相似文献

1
Association between demographic, clinical characteristics and severe complications by SARS-CoV-2 infection in a community-based healthcare network in Chile.智利一个社区医疗网络中,SARS-CoV-2感染的人口统计学、临床特征与严重并发症之间的关联。
PLoS One. 2024 Dec 30;19(12):e0314376. doi: 10.1371/journal.pone.0314376. eCollection 2024.
2
Associations between body-mass index and COVID-19 severity in 6·9 million people in England: a prospective, community-based, cohort study.在英格兰 690 万人中,体重指数与 COVID-19 严重程度的关联:一项前瞻性、基于社区的队列研究。
Lancet Diabetes Endocrinol. 2021 Jun;9(6):350-359. doi: 10.1016/S2213-8587(21)00089-9. Epub 2021 Apr 28.
3
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.
4
Mortality and critical care unit admission associated with the SARS-CoV-2 lineage B.1.1.7 in England: an observational cohort study.与 SARS-CoV-2 谱系 B.1.1.7 相关的在英国的死亡率和重症监护病房入院率:一项观察性队列研究。
Lancet Infect Dis. 2021 Nov;21(11):1518-1528. doi: 10.1016/S1473-3099(21)00318-2. Epub 2021 Jun 23.
5
Association between living with children and outcomes from covid-19: OpenSAFELY cohort study of 12 million adults in England.与儿童同住与新冠病毒感染结局的关联:英格兰 1200 万成年人的 OpenSAFELY 队列研究。
BMJ. 2021 Mar 18;372:n628. doi: 10.1136/bmj.n628.
6
Covid-19 in South America: clinical and epidemiological characteristics among 381 patients during the early phase of the pandemic in Santiago, Chile.南美洲的新冠疫情:智利圣地亚哥大流行早期 381 例患者的临床和流行病学特征。
BMC Infect Dis. 2020 Dec 14;20(1):955. doi: 10.1186/s12879-020-05665-5.
7
Risk factors for severe outcomes for COVID-19 patients hospitalised in Switzerland during the first pandemic wave, February to August 2020: prospective observational cohort study.2020年2月至8月第一波疫情期间瑞士住院的COVID-19患者出现严重后果的风险因素:前瞻性观察队列研究。
Swiss Med Wkly. 2021 Jul 28;151:w20547. doi: 10.4414/smw.2021.20547. eCollection 2021 Jul 19.
8
Pregnant women with SARS-CoV-2 infection are at higher risk of death and pneumonia: propensity score matched analysis of a nationwide prospective cohort (COV19Mx).感染新型冠状病毒2(SARS-CoV-2)的孕妇死亡和患肺炎风险更高:一项全国性前瞻性队列(COV19Mx)的倾向评分匹配分析
Ultrasound Obstet Gynecol. 2021 Feb;57(2):224-231. doi: 10.1002/uog.23575.
9
Association between pre-existing respiratory disease and its treatment, and severe COVID-19: a population cohort study.预先存在的呼吸道疾病及其治疗与 COVID-19 重症之间的关联:一项人群队列研究。
Lancet Respir Med. 2021 Aug;9(8):909-923. doi: 10.1016/S2213-2600(21)00095-3. Epub 2021 Apr 1.
10
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.

本文引用的文献

1
Obesity as a Risk Factor for Complications and Mortality in Individuals with SARS-CoV-2: A Systematic Review.肥胖作为 SARS-CoV-2 感染者并发症和死亡的风险因素:系统综述。
Nutrients. 2024 Feb 16;16(4):543. doi: 10.3390/nu16040543.
2
Mortality risk in patients with obesity and COVID-19 infection: a systematic review and meta-analysis.肥胖合并 COVID-19 感染患者的死亡风险:系统评价和荟萃分析。
Metabolism. 2024 Jun;155:155812. doi: 10.1016/j.metabol.2024.155812. Epub 2024 Feb 13.
3
Multimorbidity and frailty are associated with poorer SARS-CoV-2-related outcomes: systematic review of population-based studies.
多病共存和衰弱与较差的 SARS-CoV-2 相关结局相关:基于人群的研究系统评价。
Aging Clin Exp Res. 2024 Feb 14;36(1):40. doi: 10.1007/s40520-023-02685-4.
4
Economic evaluation of vaccination against COVID-19: A systematic review.2019冠状病毒病疫苗接种的经济学评估:一项系统评价
Health Sci Rep. 2024 Feb 7;7(2):e1871. doi: 10.1002/hsr2.1871. eCollection 2024 Feb.
5
[The impact of the different waves of COVID-19 pandemic in Chile across regions].[新冠疫情不同波次对智利各地区的影响]
Rev Med Chil. 2023 Mar;151(3):269-279. doi: 10.4067/s0034-98872023000300269.
6
Safety and efficacy of COVID-19 vaccines: A systematic review and meta-analysis of controlled and randomized clinical trials.COVID-19 疫苗的安全性和有效性:对照和随机临床试验的系统评价和荟萃分析。
Rev Med Virol. 2024 Jan;34(1):e2507. doi: 10.1002/rmv.2507.
7
Associations of diabetes, hypertension and obesity with COVID-19 mortality: a systematic review and meta-analysis.糖尿病、高血压和肥胖症与 COVID-19 死亡率的关联:系统评价和荟萃分析。
BMJ Glob Health. 2023 Dec 14;8(12):e012581. doi: 10.1136/bmjgh-2023-012581.
8
COVID-19 in pregnant women: a systematic review and meta-analysis on the risk and prevalence of pregnancy loss.COVID-19 与孕妇:妊娠丢失风险和发生率的系统评价和荟萃分析。
Hum Reprod Update. 2024 Mar 1;30(2):133-152. doi: 10.1093/humupd/dmad030.
9
Who is most at risk of dying if infected with SARS-CoV-2? A mortality risk factor analysis using machine learning of patients with COVID-19 over time: a large population-based cohort study in Mexico.如果感染了 SARS-CoV-2,谁的死亡风险最高?使用机器学习对 COVID-19 患者进行的随时间变化的死亡率风险因素分析:墨西哥一项大型基于人群的队列研究。
BMJ Open. 2023 Sep 22;13(9):e072436. doi: 10.1136/bmjopen-2023-072436.
10
Prognostic Factors of COVID-19: An Umbrella Review Endorsed by the International Society for Pharmacoepidemiology.COVID-19 预后因素:国际药物流行病学学会认可的伞式评价。
Clin Pharmacol Ther. 2023 Sep;114(3):604-613. doi: 10.1002/cpt.2977. Epub 2023 Jul 20.