医学
肝病
肝移植
内科学
终末期肝病模型
肝性脑病
乳酸脱氢酶
人口
肝损伤
胃肠病学
接收机工作特性
肝衰竭
移植
重症监护医学
肝硬化
生物
酶
环境卫生
生物化学
作者
Jake R Price,Hoda A. Hagrass,Ari B. Filip,Mitchell R. McGill
摘要
Abstract Background Acute liver failure (ALF) is a devastating condition with high mortality. Currently, liver transplantation is the only life-saving treatment, but the decision to transplant is difficult due to the rapid progression of ALF and persistent shortage of donor organs. Biomarkers that predict death better than current prognostics could help. To our surprise, proteomics recently revealed that lactate dehydrogenase (LDH) is prognostic in ALF by itself and in a novel form of the model for end-stage liver disease (MELD) score called the MELD-LDH. The purpose of this study was to confirm our proteomics results in a larger population. Methods We reviewed laboratory data from 238 patients admitted to the University of Arkansas for Medical Sciences Medical Center with a diagnosis of ALF and biochemical evidence of acute liver failure over a 12-year period, as well as subset of 170 patients with encephalopathy. Results LDH was strikingly elevated in the nonsurvivors at the time of peak injury. Receiver operating characteristic (ROC) curve analyses revealed that LDH by itself could discriminate between survivors and nonsurvivors on the first day of hospitalization, although not as well as the MELD and MELD-LDH scores that performed alike. Importantly, however, LDH by itself performed similarly to the MELD at the time of peak injury and the MELD-LDH score moderately outperformed both. The MELD-LDH score also had greater sensitivity and negative predictive value than the MELD and the King’s College Criteria. Conclusions The results support our prior finding that LDH and the MELD-LDH score predict death and therefore transplant need in ALF patients.
科研通智能强力驱动
Strongly Powered by AbleSci AI