Mortality after transjugular intrahepatic portosystemic shunt in older adult patients with cirrhosis: A validated prediction model

经颈静脉肝内门体分流术 医学 腹水 队列 肝硬化 内科学 肌酐 门脉高压 比例危险模型 肝病 酒精性肝病 终末期肝病模型 外科 胃肠病学 肝移植 移植
作者
Francesco Vizzutti,Ciro Celsa,Vincenza Calvaruso,Marco Enea,Salvatore Battaglia,Laura Turco,Marco Senzolo,Silvia Nardelli,Roberto Miraglia,Davide Roccarina,Claudia Campani,Dario Saltini,Cristian Caporali,Federica Indulti,Stefano Gitto,Alberto Zanetto,Gabriele Di Maria,Marcello Bianchini,Maddalena Pecchini,Silvia Aspite
出处
期刊:Hepatology [Lippincott Williams & Wilkins]
卷期号:77 (2): 476-488 被引量:36
标识
DOI:10.1002/hep.32704
摘要

Implantation of a transjugular intrahepatic portosystemic shunt (TIPS) improves survival in patients with cirrhosis with refractory ascites and portal hypertensive bleeding. However, the indication for TIPS in older adult patients (greater than or equal to 70 years) is debated, and a specific prediction model developed in this particular setting is lacking. The aim of this study was to develop and validate a multivariable model for an accurate prediction of mortality in older adults.We prospectively enrolled 411 consecutive patients observed at four referral centers with de novo TIPS implantation for refractory ascites or secondary prophylaxis of variceal bleeding (derivation cohort) and an external cohort of 415 patients with similar indications for TIPS (validation cohort). Older adult patients in the two cohorts were 99 and 76, respectively. A cause-specific Cox competing risks model was used to predict liver-related mortality, with orthotopic liver transplant and death for extrahepatic causes as competing events. Age, alcoholic etiology, creatinine levels, and international normalized ratio in the overall cohort, and creatinine and sodium levels in older adults were independent risk factors for liver-related death by multivariable analysis.After TIPS implantation, mortality is increased by aging, but TIPS placement should not be precluded in patients older than 70 years. In older adults, creatinine and sodium levels are useful predictors for decision making. Further efforts to update the prediction model with larger sample size are warranted.
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