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巴西 ICU 中 COVID-19 患者的社会人口学特征和演变的危险因素:一项横断面研究。

Sociodemographic Profile and Risk Factors for the Evolution of Patients with COVID-19 in ICUs in Brazil: A Cross-Sectional Study.

机构信息

ABC Medical School, Lauro Gomes Avenue, 2000-Vila Sacadura Cabral, Santo André, SP 09060-870, Brazil.

State University of Paraíba, Baraúnas Street, 351-Universitário, Campina Grande, PB 58429-500, Brazil.

出版信息

ScientificWorldJournal. 2024 Jul 15;2024:2927407. doi: 10.1155/2024/2927407. eCollection 2024.

Abstract

This is a cross-sectional study, with secondary data from Brazilian hospitals in the state of Paraíba, between January 2021 and January 2022. The evolution of clinical cases configured the dependent variable (cure or death), while the predictive variables were sociodemographic data, risk factors, use of ventilatory support, and vaccination against COVID-19. With the help of R software, the following tests were used: chi-square, Pearson's chi-square, and Fisher's exact adherence. Simple logistic regression models were constructed, and odds ratios (95% CI) were estimated using the LR test and Wald test. 7373 cases were reported, with a mean age of 58.1. Of the reported cases, 63.8% died. The most frequent sociodemographic profile included male people, of mixed race, with less than eight years of schooling. Chronic cardiovascular disease (OR 1.28; 95% CI: 1.13-1.45), diabetes (OR 1.41; 95% CI: 1.24-1.61), lung disease (OR 1.52; 95% CI: 1.11-2.09), and the use of invasive ventilatory support (OR 14.1; 95% CI: 10.56-18.59) were all associated with increased mortality. Nonvaccination was associated with a decreased risk of death (OR 0.74; 95% CI: 0.65-0.84). Male patients, nonwhite, and those with low education were more likely to have a worse clinical outcome. The risk factors studied were related to deaths, and those who did not require ventilatory support were related to cure.

摘要

这是一项横断面研究,使用了 2021 年 1 月至 2022 年 1 月期间巴西帕拉伊巴州医院的二级数据。临床病例的演变构成了因变量(治愈或死亡),而预测变量则是社会人口统计学数据、危险因素、呼吸机支持的使用和 COVID-19 疫苗接种。使用 R 软件,进行了卡方检验、皮尔逊卡方检验和 Fisher 确切检验。构建了简单的逻辑回归模型,并使用 LR 检验和 Wald 检验估计了比值比(95%CI)。报告了 7373 例病例,平均年龄为 58.1 岁。报告的病例中,63.8%死亡。最常见的社会人口统计学特征包括男性、混血儿、受教育程度不足八年。慢性心血管疾病(OR 1.28;95%CI:1.13-1.45)、糖尿病(OR 1.41;95%CI:1.24-1.61)、肺部疾病(OR 1.52;95%CI:1.11-2.09)和使用有创性呼吸机支持(OR 14.1;95%CI:10.56-18.59)均与死亡率增加相关。未接种疫苗与死亡风险降低相关(OR 0.74;95%CI:0.65-0.84)。男性患者、非白人患者和受教育程度较低的患者更有可能出现不良临床结局。研究的危险因素与死亡有关,而不需要呼吸机支持的患者与治愈有关。

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