TY - JOUR
T1 - Cardiovascular Disease Outcomes Related to Early Stage Renal Impairment after Liver Transplantation
AU - Vanwagner, Lisa B.
AU - Montag, Samantha
AU - Zhao, Lihui
AU - Allen, Norrina B.
AU - Lloyd-Jones, Donald M.
AU - Das, Arighno
AU - Skaro, Anton I.
AU - Hohmann, Samuel
AU - Friedewald, John J.
AU - Levitsky, Josh
N1 - Funding Information:
This work was supported by an investigator-initiated grant from Novartis (J.L., CRAD001HUS188T). This work was also supported by the National Institutes of Health (L.V., 1 F32 HL116151-01), the American Liver Foundation (L.V., New York, NY), and an Alpha Omega Alpha Postgraduate Award (L.V.). L.V. is currently supported by the National Institutes of Health's National Center for Advancing Translational Sciences, grant number KL2TR001424. The Northwestern Medicine Enterprise Data Warehouse (NMEDW) is funded, in part, by the National Center for Advancing Translational Sciences (NCATS) of the NIH research grant UL1TR001422 to the Northwestern University Clinical and Translational Sciences (NUCATS) Institute. The data reported here have been supplied by the United Network for Organ Sharing as the contractor for the Organ Procurement and Transplantation Network (OPTN) and by Vizient
Funding Information:
The authors of this manuscript have conflicts of interest to disclose as described by Transplantation. This work was supported by Novartis (CRAD001HUS188T). J.L. is a speaker and advisor for Novartis. L.V. is a speaker for Salix outside the current work. L.B.VW. participated in research design, data acquisition, obtaining funding, interpretation of results and article drafting. S.M. participated in data analysis and article editing L.Z. participated in research design, data analysis and article editing. N.B.A. participated in research design, interpretation of results and article editing D.M.L.-J. participated in research design, obtaining funding, interpretation of results and article editing A.D. participated in data acquisition, interpretation of results, and article editing. A.I.S. participated in data acquisition, interpretation of results, and article editing. S.H. participated in data acquisition, interpretation of results, and article editing. J.J.F. participated in interpretation of results and article editing. J.L. participated in research design, obtaining funding, interpretation of results and article editing. Correspondence: Josh Levitsky, MD, MSc, Northwestern University Feinberg School of Medicine, Suite 1900, 676, N. St Clair St, Chicago, IL 60611. (j-levitsky@northwestern.edu). Supplemental digital content (SDC) is available for this article. Direct URL citations appear in the printed text, and links to the digital files are provided in the HTML text of this article on the journal’s Web site (www.transplantjournal.com). Copyright © 2018 Wolters Kluwer Health, Inc. All rights reserved. ISSN: 0041-1337/18/10207-1096
Funding Information:
This work was supported by an investigator-initiated grant from Novartis (J.L., CRAD001HUS188T). This work was also supported by the National Institutes of Health (L.V., 1 F32 HL116151-01), the American Liver Foundation (L.V., New York, NY), and an Alpha Omega Alpha Postgraduate Award (L.V.). L.V. is currently supported by the National Institutes of Health's National Center for Advancing Translational Sciences, grant number KL2TR001424. The Northwestern Medicine Enterprise Data Warehouse (NMEDW) is funded, in part, by the National Center for Advancing Translational Sciences (NCATS) of the NIH research grant UL1TR001422 to the Northwestern University Clinical and Translational Sciences (NUCATS) Institute.
Publisher Copyright:
© 2018 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2018/7/1
Y1 - 2018/7/1
N2 - Background In the general population, even mild renal disease is associated with increased cardiovascular (CV) complications. Whether this is true in liver transplant recipients (LTR) is unknown. Methods This was a retrospective cohort study of 671 LTR (2002-2012) from a large urban tertiary care center and 37 322 LTR using Vizient hospitalization data linked to the United Network for Organ Sharing. The 4-variable Modification of Diet in Renal Disease equation estimated glomerular filtration rate (eGFR). Outcomes were 1-year CV complications (death/hospitalization from myocardial infarction, heart failure, atrial fibrillation, cardiac arrest, pulmonary embolism, or stroke) and mortality. Latent mixture modeling identified trajectories in eGFR in the first liver transplantation (LT) year in the 671 patients. Results Mean (SD) eGFR was 72.1 (45.7) mL/min per 1.73 m2. Six distinct eGFR trajectories were identified in the local cohort (n = 671): qualitatively normal-slow decrease (4% of cohort), normal-rapid decrease (4%), mild-stable (18%), mild-slow decrease (35%), moderate-stable (30%), and severe-stable (9%). In multivariable analyses adjusted for confounders and baseline eGFR, the greatest odds of 1-year CV complications were in the normal-rapid decrease group (odds ratio, 10.6; 95% confidence interval, 3.0-36.9). Among the national cohort, each 5-unit lower eGFR at LT was associated with a 2% and 5% higher hazard of all-cause and CV-mortality, respectively (P < 0.0001), independent of multiple confounders. Conclusions Even mild renal disease at the time of LT is a risk factor for posttransplant all-cause and CV mortality. More rapid declines in eGFR soon after LT correlate with risk of adverse CV outcomes, highlighting the need to study whether early renal preservation interventions also reduce CV complications.
AB - Background In the general population, even mild renal disease is associated with increased cardiovascular (CV) complications. Whether this is true in liver transplant recipients (LTR) is unknown. Methods This was a retrospective cohort study of 671 LTR (2002-2012) from a large urban tertiary care center and 37 322 LTR using Vizient hospitalization data linked to the United Network for Organ Sharing. The 4-variable Modification of Diet in Renal Disease equation estimated glomerular filtration rate (eGFR). Outcomes were 1-year CV complications (death/hospitalization from myocardial infarction, heart failure, atrial fibrillation, cardiac arrest, pulmonary embolism, or stroke) and mortality. Latent mixture modeling identified trajectories in eGFR in the first liver transplantation (LT) year in the 671 patients. Results Mean (SD) eGFR was 72.1 (45.7) mL/min per 1.73 m2. Six distinct eGFR trajectories were identified in the local cohort (n = 671): qualitatively normal-slow decrease (4% of cohort), normal-rapid decrease (4%), mild-stable (18%), mild-slow decrease (35%), moderate-stable (30%), and severe-stable (9%). In multivariable analyses adjusted for confounders and baseline eGFR, the greatest odds of 1-year CV complications were in the normal-rapid decrease group (odds ratio, 10.6; 95% confidence interval, 3.0-36.9). Among the national cohort, each 5-unit lower eGFR at LT was associated with a 2% and 5% higher hazard of all-cause and CV-mortality, respectively (P < 0.0001), independent of multiple confounders. Conclusions Even mild renal disease at the time of LT is a risk factor for posttransplant all-cause and CV mortality. More rapid declines in eGFR soon after LT correlate with risk of adverse CV outcomes, highlighting the need to study whether early renal preservation interventions also reduce CV complications.
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U2 - 10.1097/TP.0000000000002175
DO - 10.1097/TP.0000000000002175
M3 - Article
C2 - 29557907
AN - SCOPUS:85049687848
SN - 0041-1337
VL - 102
SP - 1096
EP - 1107
JO - Transplantation
JF - Transplantation
IS - 7
ER -