Predictors of Mortality in Minority Patients Admitted to the ICU with COVID-19 Infection

L. Rougui, K. Weze, S. Donaldson, A. Mehari
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Abstract

INTRODUCTION:Coronavirus-2 disease 2019 (COVID-19) is a novelty virus that caused a worldwide pandemic. It can cause mild to critical illness requiring intensive care unit (ICU) admission. In the United States, Black and Hispanic individuals comprise a disproportionately high number of infections and deaths due to COVID-19, likely related to underlying social and healthcare disparities.1,2 There are limited studies identifying predictors of outcome among COVID-19,3 in minority patients. The aim of this study was to identify the predictors of mortality among laboratory confirmed COVID-19 minority patients with severe clinical disease admitted to the ICU. METHODS:Clinical data at the time of ICU admission was extracted from electronic records for a total of 95 sequentially admitted patients to the medical ICU with confirmed COVID-19 diagnoses. Demographics, comorbidities, laboratory values that included inflammatory markers, ICU course, mortality and discharge status data were collected. The primary outcome was ICU mortality treated as a binary outcome. Summary characteristics were described based on survival status with a test of significance using ANOVA, kwallis and chisquare as appropriate. A univariate logistic regression was used to identify mortality predictor variables of statistical significance which were then included in a final multivariate regression model. Inflammatory markers were added individually to this finalized model to avoid collinearity. Findings were summarized using odds ratios and confidence intervals. RESULTS:The mean (SD) age was 61.54(14) years, 34(36%) were men, 67(71%) were African Americans and 20 (16%) were Hispanic. Most common comorbidities were hypertension 55 (58%) and diabetes 46 (48%). Fifty-three (56%) were intubated, 23 (25%) required pressor support, and 15 (16%) patients had their initial blood culture positive. Inflammatory markers were elevated in most all patients which was associated with mortality. ICU mortality was 48% (45 patients). Univariate analysis identified age ≥ 65yrs (odds ratio [OR]=1.25;95% CI,1.02-1.52;p= 0.032), higher SOFA scores of 2 and 3{ (OR=1.74, 95% CI ,1.05-2.89,p=0.035) and (OR=1.90,95%CI,1.1-3.29;p=0.024 respectively)}, vasopressor use ( OR=1.77;95%CI,1.44-2.18;p<0.001), severe ARDS (OR=;1.45;95%CI,1.05-2.01;p=0.027), mechanical ventilation use (OR=1.46;95%CI,1.22-1.79;p<0.001), procalcitonin>2.5ng/ml (OR=1.84;95% CI, 95%CI,1.03-3.29;p=0.042), ferritin>2000ng/ml (OR=1.45;95% CI,1.12-1.89;p=0.007), CRP>20mg/dl (OR=1.67 OR=;95CI,1.3-2.13;p<0.001) and LDH>400 (OR=1.68;95%C,1.26-2.23;p<0.001) as predictors of ICU morality. Of these, only age ≥ 65yrs, mechanical ventilation and vasopressor use remained statistically significant independent predictors of mortality in multivariable regression model. CONCLUSIONAmong predominantly minority patients with severe COVID-19 admitted to the ICU, older patients who become intubated, requiring vasopressor support and/or had elevated biomarkers of inflammation had a significantly higher ICU mortality.
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少数民族ICU患者COVID-19感染的死亡率预测因素
简介:2019冠状病毒2型病(COVID-19)是一种引起全球大流行的新型病毒。它可以引起轻微到严重的疾病,需要重症监护病房(ICU)入院。在美国,因COVID-19感染和死亡的黑人和西班牙裔人群比例过高,这可能与潜在的社会和医疗差距有关。1,2在少数民族患者中确定COVID-19预后预测因素的研究有限。本研究的目的是确定实验室确诊的COVID-19少数重症临床疾病患者入住ICU的死亡率预测因素。方法:从电子病历中提取95例确诊为COVID-19的内科ICU患者入院时的临床资料。收集人口统计学、合并症、包括炎症标志物在内的实验室值、ICU病程、死亡率和出院状态数据。主要结局是ICU死亡率作为一个二元结局。根据生存状态描述总结特征,并酌情使用方差分析、kwallis和chissquare进行显著性检验。单变量逻辑回归用于确定具有统计学意义的死亡率预测变量,然后将其纳入最终的多变量回归模型。为避免共线性,在最终模型中分别添加炎症标记物。研究结果用比值比和置信区间进行总结。结果:平均(SD)年龄为61.54(14)岁,男性34人(36%),非裔美国人67人(71%),西班牙裔20人(16%)。最常见的合并症是高血压55例(58%)和糖尿病46例(48%)。53例(56%)患者插管,23例(25%)患者需要升压支持,15例(16%)患者初始血培养阳性。大多数患者的炎症标志物升高,这与死亡率有关。ICU死亡率为48%(45例)。单变量分析确定年龄≥65岁(优势比[或]= 1.25;95%可信区间,1.02 - -1.52;p = 0.032),更高的沙发分数的2和3{(或= 1.74,95% CI, 1.05 - -2.89, p = 0.035)和(或= 1.90,95% CI, 1.1 - -3.29; p = 0.024)},血管加压的使用(OR = 1.77; 95%可信区间,1.44 - -2.18;术中,0.001),严重ARDS(或=;1.45;95%可信区间,1.05 - -2.01;p = 0.027),使用机械通气(OR = 1.46; 95%可信区间,1.22 - -1.79;术中,0.001),procalcitonin> 2.5 ng / ml (OR = 1.84; 95%可信区间,95% CI, 1.03 - -3.29; p = 0.042),铁蛋白2000ng/ml (OR=1.45;95% CI,1.12-1.89;p=0.007)、crp + gt;20mg/dl (OR=1.67 OR=;95CI,1.3-2.13;p<0.001)和ldhp + gt;400 (OR=1.68;95% c,1.26-2.23;p<0.001)是ICU道德的预测因子。其中,在多变量回归模型中,只有年龄≥65岁、机械通气和血管加压药物的使用仍然是具有统计学意义的死亡率独立预测因子。结论:在ICU收治的少数重症COVID-19患者中,插管、需要血管加压剂支持和/或炎症生物标志物升高的老年患者ICU死亡率显著升高。
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