Predicting survival in patients receiving continuous flow left ventricular assist devices: the HeartMate II risk score.

Journal Article (Journal Article)

OBJECTIVES: The aim of this study was to derive and validate a model to predict survival in candidates for HeartMate II (HMII) (Thoratec, Pleasanton, California) left ventricular assist device (LVAD) support. BACKGROUND: LVAD mortality risk prediction is important for candidate selection and communicating expectations to patients and clinicians. With the evolution of LVAD support, prior risk prediction models have become less valid. METHODS: Patients enrolled into the HMII bridge to transplantation and destination therapy trials (N = 1,122) were randomly divided into derivation (DC) (n = 583) and validation cohorts (VC) (n = 539). Pre-operative candidate predictors of 90-day mortality were examined in the DC with logistic regression, from which the HMII Risk Score (HMRS) was derived. The HMRS was then applied to the VC. RESULTS: There were 149 (13%) deaths within 90 days. In the DC, mortality (n = 80) was higher in older patients (odds ratio [OR]: 1.3, 95% confidence interval [CI]: 1.1 to 1.7 per 10 years), those with greater hypoalbuminemia (OR: 0.49, 95% CI: 0.31 to 0.76 per mg/dl of albumin), renal dysfunction (OR: 2.1, 95% CI: 1.4 to 3.2 per mg/dl creatinine), coagulopathy (OR: 3.1, 95% CI: 1.7 to 5.8 per international normalized ratio unit), and in those receiving LVAD support at less experienced centers (OR: 2.2, 95% CI: 1.2 to 4.4 for <15 trial patients). Mortality in the DC low, medium, and high HMRS groups was 4%, 16%, and 29%, respectively (p < 0.001). In the VC, corresponding mortality was 8%, 11%, and 25%, respectively (p < 0.001). HMRS discrimination was good (area under the receiver-operating characteristic curve: 0.71, 95% CI: 0.66 to 0.75). CONCLUSIONS: The HMRS might be useful for mortality risk stratification in HMII candidates and may serve as an additional tool in the patient selection process.

Full Text

Duke Authors

Cited Authors

  • Cowger, J; Sundareswaran, K; Rogers, JG; Park, SJ; Pagani, FD; Bhat, G; Jaski, B; Farrar, DJ; Slaughter, MS

Published Date

  • January 22, 2013

Published In

Volume / Issue

  • 61 / 3

Start / End Page

  • 313 - 321

PubMed ID

  • 23265328

Pubmed Central ID

  • 23265328

Electronic International Standard Serial Number (EISSN)

  • 1558-3597

Digital Object Identifier (DOI)

  • 10.1016/j.jacc.2012.09.055


  • eng

Conference Location

  • United States