BACKGROUND: Acute renal failure developing after orthotopic liver transplantation (OLTx) requiring renal replacement heralds a poor prognosis. Our center has previously reported a 1-year survival of only 41.8%. We undertook this study to determine whether we could identify preoperative and perioperative factors that would predict which patients are at risk. METHODS: OLTxs performed between January 1, 1996, and December 31, 2001, were included in our retrospective database review. Combined kidney-liver transplants or patients with preoperative renal replacement therapy (RRT) were excluded. A total of 724 OLTxs were studied, which were divided into group I: no RRT, n=637; group II: hemodialysis only post-OLTx, n=17; and group III: continuous RRT post-OLTx, n=70. Univariate and stepwise logistic multivariate analyses were performed. RESULTS: Preoperative serum creatinine greater than 1.9 mg/dL (odds ratio [OR] 3.57), preoperative blood urea nitrogen greater than 27 mg/dL (OR 2.68), intensive care unit stay more than 3 days (OR 10.23), and Model for End-Stage Liver Disease score greater than 21 (OR 2.5) were significant. A clinical prediction model was constructed: probability of requiring dialysis posttransplant=(-2.4586+1.2726 [creatinine >1.9] + 0.9858 [blood urea nitrogen >27] + 0.4574 [Model for End-Stage Liver Disease score >21] + 1.1625 [intensive care unit days >3]). A clinical prediction rule for patients with a score greater than 0.12 was applied to OLTx recipients who underwent transplantation in 2002. A total of 15 of 20 patients who received RRT and 111 of 121 who did not were correctly classified with the model. CONCLUSIONS: This model allowed us to identify patients at high risk for developing the need for RRT postoperatively. Strategies for these patients to prevent or ameliorate acute renal failure and reduce the need for RRT postoperatively are needed.
BACKGROUND:Acute renal failure developing after orthotopic liver transplantation (OLTx) requiring renal replacement heralds a poor prognosis. Our center has previously reported a 1-year survival of only 41.8%. We undertook this study to determine whether we could identify preoperative and perioperative factors that would predict which patients are at risk. METHODS: OLTxs performed between January 1, 1996, and December 31, 2001, were included in our retrospective database review. Combined kidney-liver transplants or patients with preoperative renal replacement therapy (RRT) were excluded. A total of 724 OLTxs were studied, which were divided into group I: no RRT, n=637; group II: hemodialysis only post-OLTx, n=17; and group III: continuous RRT post-OLTx, n=70. Univariate and stepwise logistic multivariate analyses were performed. RESULTS: Preoperative serum creatinine greater than 1.9 mg/dL (odds ratio [OR] 3.57), preoperative blood ureanitrogen greater than 27 mg/dL (OR 2.68), intensive care unit stay more than 3 days (OR 10.23), and Model for End-Stage Liver Disease score greater than 21 (OR 2.5) were significant. A clinical prediction model was constructed: probability of requiring dialysis posttransplant=(-2.4586+1.2726 [creatinine >1.9] + 0.9858 [blood ureanitrogen >27] + 0.4574 [Model for End-Stage Liver Disease score >21] + 1.1625 [intensive care unit days >3]). A clinical prediction rule for patients with a score greater than 0.12 was applied to OLTx recipients who underwent transplantation in 2002. A total of 15 of 20 patients who received RRT and 111 of 121 who did not were correctly classified with the model. CONCLUSIONS: This model allowed us to identify patients at high risk for developing the need for RRT postoperatively. Strategies for these patients to prevent or ameliorate acute renal failure and reduce the need for RRT postoperatively are needed.
Authors: Sehoon Park; Hyunjeong Cho; Seokwoo Park; Soojin Lee; Kwangsoo Kim; Hyung Jin Yoon; Jiwon Park; Yunhee Choi; Suehyun Lee; Ju Han Kim; Sejoong Kim; Ho Jun Chin; Dong Ki Kim; Kwon Wook Joo; Yon Su Kim; Hajeong Lee Journal: J Am Soc Nephrol Date: 2018-12-18 Impact factor: 10.121
Authors: Todd V Brennan; Keri E Lunsford; Parsia A Vagefi; Alan Bostrom; Michael Ma; Sandy Feng Journal: Clin Transplant Date: 2014-11-17 Impact factor: 2.863
Authors: R Ruebner; D Goldberg; P L Abt; R Bahirwani; M Levine; D Sawinski; R D Bloom; P P Reese Journal: Am J Transplant Date: 2012-07-03 Impact factor: 8.086
Authors: Sophie McAllister; Jennifer C Lai; Timothy P Copeland; Kirsten L Johansen; Charles E McCulloch; Yuenting D Kwong; Divya Seth; Barbara Grimes; Elaine Ku Journal: Kidney360 Date: 2021-03-03
Authors: T Horvatits; S Pischke; V M Proske; L Fischer; S Scheidat; F Thaiss; V Fuhrmann; A W Lohse; B Nashan; M Sterneck Journal: United European Gastroenterol J Date: 2017-04-21 Impact factor: 4.623
Authors: Yücel Yankol; Emily Bugeaud; Tiffany Zens; Michael Rizzari; Nesimi Mecit; Glen E Leverson; David Foley; Joshua D Mezrich; Turan Kanmaz; Oya Münevver Andaçoğlu; Anthony M D'Alessandro; Koray Sadık Acarlı; Münci Kalayoğlu; Luis A Fernandez Journal: Turk J Med Sci Date: 2021-04-30 Impact factor: 0.973