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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

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