Ramos-Lopez Omar, San-Cristobal Rodrigo, Martinez-Urbistondo Diego, Micó Víctor, Colmenarejo Gonzalo, Villares-Fernandez Paula, Daimiel Lidia, Martinez J Alfredo
Medicine and Psychology School, Autonomous University of Baja California, Tijuana 22390, Mexico.
Precision Nutrition and Cardiometabolic Health, IMDEA Food Institute, CEI UAM+CSIC, 28049 Madrid, Spain.
J Clin Med. 2021 Jul 15;10(14):3112. doi: 10.3390/jcm10143112.
to screen putative associations between liver markers and proinflammatory-related features concerning infectious morbidity and fatal outcomes in COVID-19 patients.
a total of 2094 COVID-19 positive patients from the COVID-DATA-SAFE-LIFES cohort (HM hospitals consortium) were classified according to median values of hepatic, inflammatory, and clinical indicators. Logistic regression models were fitted and ROC cures were generated to explain disease severity and mortality.
intensive care unit (ICU) assistance plus death outcomes were associated with liver dysfunction, hyperinflammation, respiratory insufficiency, and higher associated comorbidities. Four models including age, sex, neutrophils, D-dimer, oxygen saturation lower than 92%, C-reactive protein (CRP), Charlson Comorbidity Index (CCI), FIB-4 and interactions with CRP, neutrophils, and CCI explained ICU plus death variance in more than 28%. The predictive values of ROC curves were: FIB-4 (0.7339), AST/ALT ratio (0.7107), CRP (0.7003), CCI index (0.6778), neutrophils (0.6772), and platelets (0.5618) concerning ICU plus death outcomes.
the results of this research revealed that liver and proinflammatory features are important determinants of COVID-19 morbidity and fatal outcomes, which could improve the current understanding of the COVID-19 physiopathology as well as to facilitate the clinical management and therapy decision-making of this disease under a personalized medicine scope.
筛选肝脏标志物与新冠病毒病(COVID-19)患者感染性发病及致命结局的促炎相关特征之间的潜在关联。
根据肝脏、炎症和临床指标的中位数,对来自COVID-DATA-SAFE-LIFES队列(HM医院联盟)的2094例COVID-19阳性患者进行分类。拟合逻辑回归模型并生成ROC曲线以解释疾病严重程度和死亡率。
重症监护病房(ICU)救治加死亡结局与肝功能障碍、炎症反应过度、呼吸功能不全及更高的合并症相关。包括年龄、性别、中性粒细胞、D-二聚体、氧饱和度低于92%、C反应蛋白(CRP)、Charlson合并症指数(CCI)、FIB-4以及与CRP、中性粒细胞和CCI的相互作用的四个模型解释了超过28%的ICU加死亡变异。关于ICU加死亡结局,ROC曲线的预测值分别为:FIB-4(0.7339)、AST/ALT比值(0.7107)、CRP(0.7003)、CCI指数(0.6778)、中性粒细胞(0.6772)和血小板(0.5618)。
本研究结果表明,肝脏和促炎特征是COVID-19发病和致命结局的重要决定因素,这有助于增进对COVID-19病理生理学的当前理解,并在个性化医疗范围内促进该疾病的临床管理和治疗决策。