文献检索文档翻译深度研究
Suppr Zotero 插件Zotero 插件
邀请有礼套餐&价格历史记录

新学期，新优惠

限时优惠:9月1日-9月22日

30天高级会员仅需29元

1天体验卡首发特惠仅需5.99元

了解详情
不再提醒
插件&应用
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
高级版
套餐订阅购买积分包
AI 工具
文献检索文档翻译深度研究
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 @ 2025

关于性别，无合并症的 SARS-CoV-2 感染住院患者的临床特征描述：巴西大流行第一年的一项流行病学研究。

Characterization of Clinical Features of Hospitalized Patients Due to the SARS-CoV-2 Infection in the Absence of Comorbidities Regarding the Sex: An Epidemiological Study of the First Year of the Pandemic in Brazil.

机构信息

Laboratory of Cell and Molecular Tumor Biology and Bioactive Compounds, University of São Francisco, Bragança Paulista, São Paulo 12916-9003, Brazil.

Laboratory of Human and Medical Genetics, University of São Francisco, Bragança Paulista, São Paulo 12916-9003, Brazil.

出版信息

Int J Environ Res Public Health. 2022 Jul 22;19(15):8895. doi: 10.3390/ijerph19158895.

DOI:10.3390/ijerph19158895
PMID:35897265
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9331852/
Abstract

The male sex, due to the presence of genetic, immunological, hormonal, social, and environmental factors, is associated with higher severity and death in Coronavirus Disease (COVID)-19. We conducted an epidemiological study to characterize the COVID-19 clinical profile, severity, and outcome according to sex in patients with the severe acute respiratory syndrome (SARS) due to the fact of this disease. We carried out an epidemiological analysis using epidemiological data made available by the OpenDataSUS, which stores information about SARS in Brazil. We recorded the features of the patients admitted to the hospital for SARS treatment due to the presence of COVID-19 (in the absence of comorbidities) and associated these characteristics with sex and risk of death. The study comprised 336,463 patients, 213,151 of whom were men. Male patients presented a higher number of clinical signs, for example, fever (OR = 1.424; 95%CI = 1.399−1.448), peripheral arterial oxygen saturation (SpO2) < 95% (OR = 1.253; 95%CI = 1.232−1.274), and dyspnea (OR = 1.146; 95%CI = 1.125−1.166) as well as greater need for admission in intensive care unit (ICU, OR = 1.189; 95%CI = 1.168−1.210), and the use of invasive ventilatory support (OR = 1.306; 95%CI = 1.273−1.339) and noninvasive ventilatory support (OR = 1.238; 95%CI = 1.216−1.260) when compared with female patients. Curiously, the male sex was associated only with a small increase in the risk of death when compared with the female sex (OR = 1.041; 95%CI = 1.023−1.060). We did a secondary analysis to identify the main predictors of death. In that sense, the multivariate analysis enabled the prediction of the risk of death, and the male sex was one of the predictors (OR = 1.101; 95%CI = 1.011−1.199); however, with a small effect size. In addition, other factors also contributed to this prediction and presented a great effect size, they are listed below: older age (61−72 years old (OR = 15.778; 95%CI = 1.865−133.492), 73−85 years old (OR = 31.978; 95%CI = 3.779−270.600), and +85 years old (OR = 68.385; 95%CI = 8.164−589.705)); race (Black (OR = 1.247; 95%CI = 1.016−1.531), Pardos (multiracial background; OR = 1.585; 95%CI = 1.450−1.732), and Indigenous (OR = 3.186; 95%CI = 1.927−5.266)); clinical signs (for instance, dyspnea (OR = 1.231; 95%CI = 1.110−1.365) and SpO2 < 95% (OR = 1.367; 95%CI = 1.238−1.508)); need for admission in the ICU (OR = 3.069; 95%CI = 2.789−3.377); and for ventilatory support (invasive (OR = 10.174; 95%CI = 8.803−11.759) and noninvasive (OR = 1.609; 95%CI = 1.438−1.800)). In conclusion, in Brazil, male patients tend to present the phenotype of higher severity in COVID-19, however, with a small effect on the risk of death.

摘要

男性由于遗传、免疫、激素、社会和环境因素的影响，在冠状病毒病（COVID-19）中更易出现严重程度和死亡。我们进行了一项流行病学研究，以根据严重急性呼吸系统综合征（SARS）患者的性别来描述 COVID-19 的临床特征、严重程度和结局。我们利用 OpenDataSUS 提供的流行病学数据进行了一项流行病学分析，该数据库存储了巴西 SARS 患者的信息。我们记录了因 COVID-19 而住院治疗 SARS 的患者的特征（无合并症），并将这些特征与性别和死亡风险联系起来。研究共纳入 336463 名患者，其中 213151 名为男性。男性患者出现了更多的临床症状，例如发热（OR=1.424；95%CI=1.399-1.448）、外周动脉血氧饱和度（SpO2）<95%（OR=1.253；95%CI=1.232-1.274）和呼吸困难（OR=1.146；95%CI=1.125-1.166），以及更需要入住重症监护病房（ICU，OR=1.189；95%CI=1.168-1.210）和使用有创性通气支持（OR=1.306；95%CI=1.273-1.339）和无创性通气支持（OR=1.238；95%CI=1.216-1.260），与女性患者相比。有趣的是，与女性患者相比，男性患者的死亡风险仅略有增加（OR=1.041；95%CI=1.023-1.060）。我们进行了二次分析，以确定死亡的主要预测因素。在这种情况下，多变量分析使死亡风险得以预测，而男性是预测因素之一（OR=1.101；95%CI=1.011-1.199）；然而，效果较小。此外，其他因素也对这一预测有贡献，且效果显著，如下：年龄较大（61-72 岁（OR=15.778；95%CI=1.865-133.492），73-85 岁（OR=31.978；95%CI=3.779-270.600），+85 岁（OR=68.385；95%CI=8.164-589.705））；种族（黑人（OR=1.247；95%CI=1.016-1.531）、混血儿（OR=1.585；95%CI=1.450-1.732）和土著人（OR=3.186；95%CI=1.927-5.266））；临床症状（例如，呼吸困难（OR=1.231；95%CI=1.110-1.365）和 SpO2<95%（OR=1.367；95%CI=1.238-1.508））；需要入住 ICU（OR=3.069；95%CI=2.789-3.377）；以及需要通气支持（有创性（OR=10.174；95%CI=8.803-11.759）和无创性（OR=1.609；95%CI=1.438-1.800））。总之，在巴西，男性患者在 COVID-19 中更易出现严重程度较高的表型，但对死亡风险的影响较小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/22e314bdd3ca/ijerph-19-08895-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/763cea9fb9c7/ijerph-19-08895-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/8ed0b0d9a0d5/ijerph-19-08895-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/0b67fa82bc76/ijerph-19-08895-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/d29c5fbabe8d/ijerph-19-08895-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/22e314bdd3ca/ijerph-19-08895-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/763cea9fb9c7/ijerph-19-08895-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/8ed0b0d9a0d5/ijerph-19-08895-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/0b67fa82bc76/ijerph-19-08895-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/d29c5fbabe8d/ijerph-19-08895-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/855b/9331852/22e314bdd3ca/ijerph-19-08895-g005.jpg

相似文献

[1]
Characterization of Clinical Features of Hospitalized Patients Due to the SARS-CoV-2 Infection in the Absence of Comorbidities Regarding the Sex: An Epidemiological Study of the First Year of the Pandemic in Brazil.

Int J Environ Res Public Health. 2022-7-22

[2]
Severe Acute Respiratory Syndrome by SARS-CoV-2 Infection or Other Etiologic Agents Among Brazilian Indigenous Population: An Observational Study from the First Year of Coronavirus Disease (COVID)-19 Pandemic.

Lancet Reg Health Am. 2022-4

[3]
Characterization of demographic data, clinical signs, comorbidities, and outcomes according to the race in hospitalized individuals with COVID-19 in Brazil: An observational study.

J Glob Health. 2022-7-25

[4]
Safety and Efficacy of Imatinib for Hospitalized Adults with COVID-19: A structured summary of a study protocol for a randomised controlled trial.

Trials. 2020-10-28

[5]
Epidemiologic Profile of Severe Acute Respiratory Infection in Brazil During the COVID-19 Pandemic: An Epidemiological Study.

Front Microbiol. 2022-7-1

[6]
Predictors of Intensive Care Unit Admission among Hospitalized COVID-19 Patients in a Large University Hospital in Tehran, Iran.

J Res Health Sci. 2021-2-21

[7]
Clinical characteristics and outcomes of hospitalized COVID-19 patients in a MERS-CoV referral hospital during the peak of the pandemic.

Int J Infect Dis. 2021-5

[8]
Effectiveness of influenza vaccination against coronavirus disease (COVID)-19 outcomes in hospitalized individuals in Brazil: an epidemiological study.

Public Health. 2023-12

[9]
Intensive care for seriously ill patients affected by novel coronavirus sars - CoV - 2: Experience of the Crema Hospital, Italy.

Am J Emerg Med. 2021-7

[10]
Racial Disparities in Incidence and Outcomes Among Patients With COVID-19.

JAMA Netw Open. 2020-9-1

引用本文的文献

[1]
Impact of Coronavirus Disease (COVID)-19 on the Indigenous Population of Brazil: A Systematic Review.

J Racial Ethn Health Disparities. 2025-5-21

[2]
Evaluation of the case fatality rate in 2 031 309 hospitalised Brazilian patients due to COVID-19: An observational study of the first 3 years of the pandemic in Brazil.

BMJ Public Health. 2025-3-15

[3]
Biochemical differences based on sex and clusters of biomarkers in patients with COVID-19: analysis from the CARDIO COVID 19-20 registry.

BMC Cardiovasc Disord. 2025-3-5

[4]
Assessing COVID-19 Vaccine Effectiveness and Risk Factors for Severe Outcomes through Machine Learning Techniques: A Real-World Data Study in Andalusia, Spain.

J Epidemiol Glob Health. 2024-12

[5]
Epidemiological profile of patients hospitalized with Crohn's disease due to severe acute respiratory infection during the COVID-19 pandemic: a 2-year report from Brazil.

Front Med (Lausanne). 2024-10-23

[6]
Efficacy of Ivermectin, Chloroquine/Hydroxychloroquine, and Azithromycin in Managing COVID-19: A Systematic Review of Phase III Clinical Trials.

Biomedicines. 2024-9-27

[7]
Clinical-laboratory characteristics predictive of COVID-19 severity: a prospective hospital cohort, in Pernambuco, Northeast Brazil.

Braz J Microbiol. 2024-9

[8]
Relation between Orotracheal Intubation, Inflammatory Markers, Breathing and Voice in Post-COVID-19.

J Voice. 2023-2-23

[9]
Profile of coronavirus disease enlightened asthma as a protective factor against death: An epidemiology study from Brazil during the pandemic.

Front Med (Lausanne). 2022-11-29

本文引用的文献

[1]
Clinical characteristics, risk factors, and rate of severity of a nationwide COVID-19 Saudi cohort.

Saudi J Biol Sci. 2022-7

[2]
Sex disparities in patients with suspected COVID-19 presenting at an emergency department in Switzerland.

Swiss Med Wkly. 2022-5-9

[3]
Impact of age, gender and comorbidities affecting the severity of COVID-19 infection in Kashmir.

J Family Med Prim Care. 2022-4

[4]
Gender and Ethnic Disparities of Acute Kidney Injury in COVID-19 Infected Patients: A Literature Review.

Front Cell Infect Microbiol. 2021

[5]
Sex disparities in COVID-19 outcomes in the United States: Quantifying and contextualizing variation.

Soc Sci Med. 2022-2

[6]
Evolving mortality and clinical outcomes of hospitalized subjects during successive COVID-19 waves in Catalonia, Spain.

Glob Epidemiol. 2022-12

[7]
Are COVID-19 Case Fatality Rates a Reliable Measure of Sex Disparities?

Womens Health Issues. 2022

[8]
Sex differences in the immune response to acute COVID-19 respiratory tract infection.

Biol Sex Differ. 2021-12-20

[9]
Corona Virus Disease 2019 (COVID-19) as a System-Level Infectious Disease With Distinct Sex Disparities.

Front Immunol. 2021

[10]
First and second COVID-19 waves in Brazil: A cross-sectional study of patients' characteristics related to hospitalization and in-hospital mortality.

Lancet Reg Health Am. 2022-2

文献AI研究员

20分钟写一篇综述，助力文献阅读效率提升50倍

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

推荐工具

医学文档翻译智能文献检索