Rueggeberg A, Boehm S, Napieralski F, Mueller A R, Neuhaus P, Falke K J, Gerlach H
Department of Anaesthesiology and Intensive Care medicine, Charité-Universitaetsmedizin, Berlin, Germany.
Anaesthesia. 2008 Nov;63(11):1174-80. doi: 10.1111/j.1365-2044.2008.05604.x. Epub 2008 Sep 17.
The purpose of this prospective observation cohort study was to develop and validate a risk stratification model for prediction of acute renal failure after liver transplantation. Data from 71 orthotopic liver transplantation recipients were used to develop a risk stratification model by binary logistic regression analysis containing the following variables: pretransplant hepatitis B and/or C infection; arterial hypertension; intra-operative mean arterial blood pressure before induction of anaesthesia; units of packed red blood cells required; hypotension (mean arterial blood pressure <or=50 mmHg); and maximum lactate concentration. Validation of the model on 167 consecutive patients revealed a sensitivity of 0.78, a specifity of 0.92, a negative predictive value of 0.96 and a positive predictive value of 0.62. This risk stratification model enables identification of orthotopic liver transplantation recipients with no or low risk for acute renal failure directly at the end of the transplantation procedure.
这项前瞻性观察队列研究的目的是开发并验证一种用于预测肝移植后急性肾衰竭的风险分层模型。来自71例原位肝移植受者的数据通过二元逻辑回归分析用于开发一个风险分层模型,该模型包含以下变量:移植前乙肝和/或丙肝感染;动脉高血压;麻醉诱导前术中平均动脉血压;所需浓缩红细胞单位数;低血压(平均动脉血压≤50 mmHg);以及最高乳酸浓度。在167例连续患者中对该模型进行验证,结果显示敏感性为0.78,特异性为0.92,阴性预测值为0.96,阳性预测值为0.62。这种风险分层模型能够在移植手术结束时直接识别出急性肾衰竭风险为无或低的原位肝移植受者。