Dept. of Advanced Biomedical Sciences, Federico II University, Naples, Italy.
Department of Medicine and Surgery, University of Milano-Bicocca, Milano, Italy.
PLoS One. 2020 Oct 6;15(10):e0237297. doi: 10.1371/journal.pone.0237297. eCollection 2020.
The global rate of intensive care unit (ICU) admission during the COVID-19 pandemic varies within countries and is among the main challenges for health care systems worldwide. Conflicting results have been reported about the response to coronavirus infection and COVID-19 outcomes in men and women. Understanding predictors of intensive care unit admission might be of help for future planning and management of the disease.
We designed a cross-sectional observational multicenter nationwide survey in Italy to understand gender-related clinical predictors of ICU admission in patients with COVID-19. We analyzed information from 2378 charts of Italian patients certified for COVID-19 admitted in 26 hospitals. Three hundred ninety-five patients (16.6%) required ICU admission due to COVID19 infection, more frequently men (74%), with a higher prevalence of comorbidities (1,78±0,06 vs 1,54±0,03 p<0.05). In multivariable regression model main predictors of admission to ICU are male gender (OR 1,74 95% CI 1,36-2,22 p<0.0001) and presence of obesity (OR 2,88 95% CI 2,03-4,07 p<0.0001), chronic kidney disease (OR: 1,588; 95%, 1,036-2,434 p<0,05) and hypertension (OR: 1,314; 95% 1,039-1,662; p<0,05). In gender specific analysis, obesity, chronic kidney disease and hypertension are associated with higher rate of admission to ICU among men, whereas in women, obesity (OR: 2,564; 95% CI 1,336-4.920 p<0.0001) and heart failure (OR: 1,775 95% CI: 1,030-3,057) are associated with higher rate of ICU admission.
Our study demonstrates that gender is the primary determinant of the disease's severity among COVID-19. Obesity is the condition more often observed among those admitted to ICU within both genders.
Clinicaltrials.gov: NCT04331574.
在 COVID-19 大流行期间,全球 ICU 入院率在各国之间存在差异,这是全球医疗系统面临的主要挑战之一。关于男性和女性对冠状病毒感染的反应和 COVID-19 结局,已有相互矛盾的结果报告。了解 ICU 入院的预测因素可能有助于为未来规划和管理疾病提供帮助。
我们设计了一项意大利全国范围内的横断面观察性多中心研究,以了解 COVID-19 患者 ICU 入院的与性别相关的临床预测因素。我们分析了来自 26 家医院的 2378 名意大利 COVID-19 确诊患者的病历信息。395 名患者(16.6%)因 COVID19 感染需要 ICU 入院,其中更多为男性(74%),合并症发生率更高(1,78±0.06 与 1.54±0.03,p<0.05)。在多变量回归模型中,ICU 入院的主要预测因素为男性(OR 1.74,95%CI 1.36-2.22,p<0.0001)和肥胖(OR 2.88,95%CI 2.03-4.07,p<0.0001)、慢性肾脏病(OR:1.588;95%,1.036-2.434,p<0.05)和高血压(OR:1.314;95% 1.039-1.662;p<0.05)。在性别特异性分析中,肥胖、慢性肾脏病和高血压与男性 ICU 入院率升高相关,而在女性中,肥胖(OR:2.564;95%CI 1.336-4.920,p<0.0001)和心力衰竭(OR:1.775 95%CI:1.030-3.057)与 ICU 入院率升高相关。
我们的研究表明,性别是 COVID-19 患者疾病严重程度的主要决定因素。肥胖是两性中更常见的 ICU 入院患者的情况。
Clinicaltrials.gov:NCT04331574。