Literature DB >> 30716479

Association Between Renal Function Pattern and Mortality in Patients With Cirrhosis.

Giuseppe Cullaro1, Elizabeth C Verna2, Jennifer C Lai3.   

Abstract

BACKGROUND & AIMS: Renal dysfunction increases risk of death for patients with cirrhosis. We investigated whether mortality differs significantly among patients with acute kidney injury (AKI), chronic kidney disease (CKD), and both.
METHODS: We performed a retrospective analysis of all non-status 1 adults on the waitlist for liver transplantation for at least 90 days, collected from the Organ Procurement and Transplantation Network registry from July 1, 2007 through July 1, 2014. We assigned patients to groups of AKI (an increase of ≥0.3 mg/dL or ≥50% in serum creatinine in the last 7 days or fewer than 72 days of hemodialysis), CKD (an estimated glomerular filtration rate <60 ml/min/1.73 m2 for 90 days with a final rate ≥30 ml/min/1.73 m2 or ≥72 days of hemodialysis), AKI and CKD (meet both definitions), or normal (meet neither definition). We performed competing risk analyses to associate patterns of renal dysfunction with waitlist mortality, accounting for liver transplantation, with renal pattern as a time-dependent covariate. Logistic regression for 6-month mortality determined the added benefit of including renal function pattern in the assessment.
RESULTS: There were 22,680 patients in the cohort; they spent a median 1.6 years (range, 0.7-3.1 years) on the waitlist and a median 5 years (range, 2-9 years) undergoing assessments of renal function. In competing risk analysis, even after adjusting for confounders including final model for end-stage liver disease sodium (MELD-Na) scores, the pattern of renal function was significantly associated with waitlist mortality: AKI and CKD (subhazard ratio [SHR], 2.86; 95% CI, 2.65-3.10), AKI (SHR, 2.42; 95% CI 2.22-2.64), CKD (SHR, 1.56; 95% CI, 1.45-1.67) compared with normal. The area under the curve values, based on MELD-Na score at time of placement on the waitlist, were 0.80 with renal function pattern and 0.71 without (P < .001).
CONCLUSION: In competing risk analysis, even after adjusting for confounders including final MELD-Na score, we found the pattern of renal dysfunction to associate with mortality in patients with cirrhosis. Including information on type of renal dysfunction could improve risk analysis.
Copyright © 2019 AGA Institute. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Liver Disease; Liver Transplantation; Renal Dysfunction; Waitlist Mortality

Year:  2019        PMID: 30716479      PMCID: PMC6675672          DOI: 10.1016/j.cgh.2019.01.043

Source DB:  PubMed          Journal:  Clin Gastroenterol Hepatol        ISSN: 1542-3565            Impact factor:   11.382


  17 in total

1.  New consensus definition of acute kidney injury accurately predicts 30-day mortality in patients with cirrhosis and infection.

Authors:  Florence Wong; Jacqueline G O'Leary; K Rajender Reddy; Heather Patton; Patrick S Kamath; Michael B Fallon; Guadalupe Garcia-Tsao; Ram M Subramanian; Raza Malik; Benedict Maliakkal; Leroy R Thacker; Jasmohan S Bajaj
Journal:  Gastroenterology       Date:  2013-08-30       Impact factor: 22.682

Review 2.  Immortal time bias in pharmaco-epidemiology.

Authors:  Samy Suissa
Journal:  Am J Epidemiol       Date:  2007-12-03       Impact factor: 4.897

Review 3.  Renal failure in cirrhosis.

Authors:  Pere Ginès; Robert W Schrier
Journal:  N Engl J Med       Date:  2009-09-24       Impact factor: 91.245

4.  Prognostic importance of the cause of renal failure in patients with cirrhosis.

Authors:  Marta Martín-Llahí; Mónica Guevara; Aldo Torre; Claudia Fagundes; Tea Restuccia; Rosa Gilabert; Elsa Solá; Gustavo Pereira; Marcella Marinelli; Marco Pavesi; Javier Fernández; Juan Rodés; Vicente Arroyo; Pere Ginès
Journal:  Gastroenterology       Date:  2010-08-01       Impact factor: 22.682

5.  Association of AKI with mortality and complications in hospitalized patients with cirrhosis.

Authors:  Justin M Belcher; Guadalupe Garcia-Tsao; Arun J Sanyal; Harjit Bhogal; Joseph K Lim; Naheed Ansari; Steven G Coca; Chirag R Parikh
Journal:  Hepatology       Date:  2012-12-06       Impact factor: 17.425

6.  Height contributes to the gender difference in wait-list mortality under the MELD-based liver allocation system.

Authors:  J C Lai; N A Terrault; E Vittinghoff; S W Biggins
Journal:  Am J Transplant       Date:  2010-11-18       Impact factor: 8.086

Review 7.  Renal failure and cirrhosis: a systematic review of mortality and prognosis.

Authors:  Giuseppe Fede; Gennaro D'Amico; Vasiliki Arvaniti; Emmanuel Tsochatzis; Giacomo Germani; Dimosthenis Georgiadis; Alberto Morabito; Andrew Kenneth Burroughs
Journal:  J Hepatol       Date:  2011-12-13       Impact factor: 25.083

8.  Hyponatremia and mortality among patients on the liver-transplant waiting list.

Authors:  W Ray Kim; Scott W Biggins; Walter K Kremers; Russell H Wiesner; Patrick S Kamath; Joanne T Benson; Erick Edwards; Terry M Therneau
Journal:  N Engl J Med       Date:  2008-09-04       Impact factor: 91.245

9.  A new equation to estimate glomerular filtration rate.

Authors:  Andrew S Levey; Lesley A Stevens; Christopher H Schmid; Yaping Lucy Zhang; Alejandro F Castro; Harold I Feldman; John W Kusek; Paul Eggers; Frederick Van Lente; Tom Greene; Josef Coresh
Journal:  Ann Intern Med       Date:  2009-05-05       Impact factor: 25.391

Review 10.  Acute kidney injury in cirrhosis.

Authors:  Guadalupe Garcia-Tsao; Chirag R Parikh; Antonella Viola
Journal:  Hepatology       Date:  2008-12       Impact factor: 17.425

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  7 in total

1.  Renal Trajectory Patterns Are Associated With Postdischarge Mortality in Patients With Cirrhosis and Acute Kidney Injury.

Authors:  Ayse L Mindikoglu; Ruben Hernaez; Yan Liu; Jennifer R Kramer; Thomas Taylor; Abbas Rana; Fasiha Kanwal
Journal:  Clin Gastroenterol Hepatol       Date:  2019-11-25       Impact factor: 11.382

2.  The proportion of Model for End-stage Liver Disease Sodium score attributable to creatinine independently predicts post-transplant survival and renal complications.

Authors:  Therese Bittermann; Rebecca A Hubbard; James D Lewis; David S Goldberg
Journal:  Clin Transplant       Date:  2020-02-20       Impact factor: 2.863

3.  Improving the Model for End-Stage Liver Disease with sodium by incorporating kidney dysfunction types.

Authors:  Giuseppe Cullaro; Elizabeth C Verna; Charles E McCulloch; Jennifer C Lai
Journal:  Hepatology       Date:  2022-03-31       Impact factor: 17.298

4.  Chronic Kidney Disease in Liver Transplant Candidates: A Rising Burden Impacting Post-Liver Transplant Outcomes.

Authors:  Giuseppe Cullaro; Elizabeth C Verna; Brian P Lee; Jennifer C Lai
Journal:  Liver Transpl       Date:  2020-04       Impact factor: 5.799

Review 5.  A Comprehensive Review of Outcome Predictors in Low MELD Patients.

Authors:  Nikhilesh R Mazumder; Kofi Atiemo; Matthew Kappus; Giuseppe Cullaro; Matthew E Harinstein; Daniela Ladner; Elizabeth Verna; Jennifer Lai; Josh Levitsky
Journal:  Transplantation       Date:  2020-02       Impact factor: 5.385

6.  Frailty and the Risk of Acute Kidney Injury Among Patients With Cirrhosis.

Authors:  Giuseppe Cullaro; Elizabeth C Verna; Andres Duarte-Rojo; Matthew R Kappus; Daniel R Ganger; Robert S Rahimi; Brian Boyarsky; Dorry L Segev; Mara McAdams-DeMarco; Daniela P Ladner; Michael L Volk; Chi-Yuan Hsu; Jennifer C Lai
Journal:  Hepatol Commun       Date:  2021-10-22

7.  Association Between Kidney Dysfunction Types and Mortality Among Hospitalized Patients with Cirrhosis.

Authors:  Giuseppe Cullaro; Jessica B Rubin; Brett E Fortune; Carl V Crawford; Elizabeth C Verna; Chi-Yuan Hsu; Kathleen D Liu; Robert S Brown; Jennifer C Lai; Russell Rosenblatt
Journal:  Dig Dis Sci       Date:  2021-07-22       Impact factor: 3.487

  7 in total

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