In-hospital mortality of hepatorenal syndrome in the United States:Nationwide inpatient sample
作者机构:Department of Military and Community MedicinePhramongkutklao College of MedicineBangkok 10400Thailand Division of Nephrology and HypertensionMayo ClinicRochesterMN 55905United States Division of NephrologyDepartment of MedicineOchsner Clinic FoundationNew OrleansLA 70121United States Division of Nuclear MedicineDepartment of RadiologyFaculty of Medicine Siriraj HospitalMahidol UniversityBangkok 10400Thailand Department of Internal MedicineFaculty of MedicineThammasat UniversityPathum Thani 12121Thailand Division of Pulmonary and Pulmonary Critical Care MedicineFaculty of MedicineRamathibodi HospitalMahidol UniversityBangkok 10400Thailand Division of PulmonaryCritical Careand Sleep MedicineUniversity of Tennessee Health Science CenterMemphisTN 13326United States Division of NephrologyUniversity of WashingtonSeattleWA 98195United States Division of Gastroenterology and HepatologyUniversity of MichiganAnn ArborMI 48109United States Section of Cardiovascular MedicineDepartment of MedicineWake Forest University School of MedicineWinston-SalemNC 27101United States Division of Transplant SurgeryMayo ClinicPhoenixAZ 85054United States Division of Nephrology and HypertensionDepartment of MedicineMayo ClinicRochesterMN 55905United States
出 版 物:《World Journal of Gastroenterology》 (世界胃肠病学杂志(英文版))
年 卷 期:2021年第27卷第45期
页 面:7831-7843页
核心收录:
学科分类:1002[医学-临床医学] 100201[医学-内科学(含:心血管病、血液病、呼吸系病、消化系病、内分泌与代谢病、肾病、风湿病、传染病)] 10[医学]
主 题:Hepatorenal syndrome Liver transplantation Mortality Nationwide Big data Hospitalization Outcomes Predictors
摘 要:BACKGROUND Hepatorenal syndrome(HRS)is a life-threatening condition among patients with advanced liver *** trends specific to hospital mortality and hospital admission resource utilization for HRS remain *** To assess the temporal trend in mortality and identify the predictors for mortality among hospital admissions for HRS in the United *** We used the National Inpatient Sample database to identify an unweighted sample of 4938 hospital admissions for HRS from 2005 to 2014(weighted sample of 23973 admissions).The primary outcomes were temporal trends in mortality as well as predictors for hospital *** estimated odds ratios from multilevel mixed effect logistic regression to identify patient characteristics and treatments associated with hospital *** Overall hospital mortality was 32%.Hospital mortality decreased from 44%in 2005 to 24%in 2014(P0.001),while there was an increase in the rate of liver transplantation(P=0.02),renal replacement therapy(P0.001),length of hospital stay(P0.001),and hospitalization cost(P0.001).On multivariable analysis,older age,alcohol use,coagulopathy,neurological disorder,and need for mechanical ventilation predicted higher hospital mortality,whereas liver transplantation,transjugular intrahepatic portosystemic shunt,and abdominal paracentesis were associated with lower hospital *** Although there was an increase in resource utilizations,hospital mortality among patients admitted for HRS significantly *** predictors for hospital mortality were identified.