Literature DB >> 24726424

Pre-operative mortality risk assessment in patients with continuous-flow left ventricular assist devices: application of the HeartMate II risk score.

Sunu S Thomas1, Nadav Nahumi1, Jason Han1, Matthew Lippel1, Paolo Colombo1, Melana Yuzefpolskaya1, Hiroo Takayama2, Yoshifumi Naka2, Nir Uriel1, Ulrich P Jorde3.   

Abstract

BACKGROUND: Survival with left ventricular assist device (LVAD) therapy is dependent on appropriate patient selection. The HeartMate II risk score (HMRS) was recently derived and validated to predict 90-day mortality in clinical trial patients with continuous-flow LVADs. The aim of this study was to test HMRS validity in predicting survival at our institution.
METHODS: We performed a retrospective analysis of patients implanted with HeartMate II (HMII; Thoratec, Pleasanton, CA) LVADs from March 31, 2004 to September 20, 2012 at the Columbia University Medical Center (CUMC). Patients were stratified according to HMRS profiles (HMRS Low < 1.58, 1.58 ≤ HMRS Medium ≤ 2.48, HMRS High > 2.48) calculated using age, albumin, creatinine, international normalized ratio (INR) and center volume. Outcome was defined as survival at 90 days after device implantation.
RESULTS: HeartMate II LVADs were implanted in 205 patients. Pre-operative data from 201 patients were categorized into HMRS Low (n = 101; 1.04 [0.64 to 1.31]), HMRS Medium (n = 73; 1.98 [1.78 to 2.25]) and HMRS High (n = 27, 3.07 [2.70 to 3.43]) (p < 0.0001). Kaplan-Meier survival estimates at 90 days (HMRS Low 91.0 ± 2.9%, HMRS Medium 91.7 ± 3.2%, HMRS High 88.7 ± 6.1%) and at 1 year (HMRS Low 85.5 ± 3.8%, HMRS Medium 79.3 ± 5.5%, HMRS High 82.4 ± 8.4%) after LVAD implantation were not statistically different (p = 0.43). Prediction of 90-day mortality by receiver operating characteristic was poor (AUC = 0.56).
CONCLUSION: HMRS stratification poorly discriminates 90-day mortality after HMII LVAD implantation at our institution. Its generalizability as a universal prognostic score may be limited.
Copyright © 2014 International Society for Heart and Lung Transplantation. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  continuous-flow left ventricular assist device; heart failure; mechanical circulatory support; mortality; prognosis; risk score

Mesh:

Year:  2014        PMID: 24726424     DOI: 10.1016/j.healun.2014.02.011

Source DB:  PubMed          Journal:  J Heart Lung Transplant        ISSN: 1053-2498            Impact factor:   10.247


  12 in total

1.  INTERMACS profiles and modifiers: Heterogeneity of patient classification and the impact of modifiers on predicting patient outcome.

Authors:  Jennifer Cowger; Palak Shah; John Stulak; Simon Maltais; Keith D Aaronson; James K Kirklin; Francis D Pagani; Christopher Salerno
Journal:  J Heart Lung Transplant       Date:  2015-11-06       Impact factor: 10.247

2.  Red Cell Distribution Width Predicts 90 Day Mortality in Continuous-Flow Left Ventricular Assist Device Patients.

Authors:  Lauren K Truby; Lakshmi Sridharan; Raul J Flores; A Reshad Garan; Douglas Jennings; Melana Yuzefpolskaya; Koji Takeda; Hiroo Takayama; Yoshifumi Naka; Paolo C Colombo; Veli K Topkara
Journal:  ASAIO J       Date:  2019 Mar/Apr       Impact factor: 2.872

3.  A Bayesian Model to Predict Survival After Left Ventricular Assist Device Implantation.

Authors:  Manreet K Kanwar; Lisa C Lohmueller; Robert L Kormos; Jeffrey J Teuteberg; Joseph G Rogers; JoAnn Lindenfeld; Stephen H Bailey; Colleen K McIlvennan; Raymond Benza; Srinivas Murali; James Antaki
Journal:  JACC Heart Fail       Date:  2018-08-08       Impact factor: 12.035

4.  Low Accuracy of the HeartMate Risk Score for Predicting Mortality Using the INTERMACS Registry Data.

Authors:  Manreet K Kanwar; Lisa C Lohmueller; Robert L Kormos; Natasha A Loghmanpour; Raymond L Benza; Robert J Mentz; Stephen H Bailey; Srinivas Murali; James F Antaki
Journal:  ASAIO J       Date:  2017 May/Jun       Impact factor: 2.872

5.  A new Bayesian network-based risk stratification model for prediction of short-term and long-term LVAD mortality.

Authors:  Natasha A Loghmanpour; Manreet K Kanwar; Marek J Druzdzel; Raymond L Benza; Srinivas Murali; James F Antaki
Journal:  ASAIO J       Date:  2015 May-Jun       Impact factor: 2.872

6.  The Heartmate Risk Score predicts morbidity and mortality in unselected left ventricular assist device recipients and risk stratifies INTERMACS class 1 patients.

Authors:  Luigi Adamo; Michael Nassif; Anjan Tibrewala; Eric Novak; Justin Vader; Scott C Silvestry; Akinobu Itoh; Gregory A Ewald; Douglas L Mann; Shane J LaRue
Journal:  JACC Heart Fail       Date:  2015-03-11       Impact factor: 12.035

7.  Improving Outcome Predictions for Patients Receiving Mechanical Circulatory Support by Optimizing Imputation of Missing Values.

Authors:  Byron C Jaeger; Ryan Cantor; Venkata Sthanam; Rongbing Xie; James K Kirklin; Ramaraju Rudraraju
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2021-09-14

8.  Nutritional Risk Index predicts mortality in hospitalized advanced heart failure patients.

Authors:  Oluwayemisi L Adejumo; Todd M Koelling; Scott L Hummel
Journal:  J Heart Lung Transplant       Date:  2015-06-11       Impact factor: 10.247

Review 9.  Left ventricular assist device patient selection: do risk scores help?

Authors:  Ashwin K Ravichandran; Jennifer Cowger
Journal:  J Thorac Dis       Date:  2015-12       Impact factor: 2.895

10.  Association of global and disease-specific health status with outcomes following continuous-flow left ventricular assist device implantation.

Authors:  Kelsey M Flint; John A Spertus; Fengming Tang; Philip Jones; Timothy J Fendler; Larry A Allen
Journal:  BMC Cardiovasc Disord       Date:  2017-03-14       Impact factor: 2.298

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