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Validation of the HeartMate 3 survival risk score in a large left ventricular assist device center
Cathrine M Moeller1, Gal Rubinstein1, Daniel Oren1
1Division of Cardiology, Department of Medicine, Columbia University Irving Medical Center, New York, NY.
Insights
The HeartMate 3 survival risk score predicted mortality in left ventricular assist device patients. While not an independent predictor after adjustments, it identified high-survival patients using a binary cutoff.
Area of Science:
- Cardiology
- Medical Devices
- Clinical Outcomes
Background:
- The HeartMate 3 survival risk score was developed to predict patient-specific survival for HeartMate 3 left ventricular assist device candidates.
- This score stratifies patients into tertiles based on their predicted survival probability.
Purpose of the Study:
- To validate the HeartMate 3 survival risk score in a real-world patient cohort.
- To assess the score's ability to predict survival in patients receiving the HeartMate 3 left ventricular assist device.
Main Methods:
- A retrospective review of 181 HeartMate 3 left ventricular assist device recipients was conducted.
- Survival analyses utilized Kaplan-Meier methods and Cox regression models.
- HeartMate 3 survival risk scores were calculated for all eligible patients.
Main Results:
- The unadjusted HeartMate 3 survival risk score was a significant predictor of mortality.
- Two-year survival rates varied across risk groups, with the high-risk group showing 93.5% survival.
- The score identified high-survival patients using a binary cutoff, though discrimination across tertiles was not demonstrated.
Conclusions:
- The HeartMate 3 survival risk score is associated with postimplant survival but is not an independent predictor when adjusted for specific comorbidities.
- The score can identify high-survival patients effectively using a binary cutoff.
- The score's discriminatory ability across previously defined risk tertiles was not confirmed in this cohort.
Objective:
The HeartMate 3 survival risk score was recently validated in the Multicenter study Of MagLev Technology in Patients Undergoing Mechanical Circulatory Support Therapy with HeartMate 3 to predict patient-specific survival in HeartMate 3 left ventricular assist device candidates. The HeartMate 3 survival risk score stratifies individuals into tertiles according to survival probability.
Methods:
We performed a single-center retrospective review of all HeartMate 3 left ventricular assist device recipients between September 2017 and August 2022. Baseline characteristics were collected from the electronic medical records. HeartMate 3 survival risk scores were calculated for all eligible patients. One- and 2-year Kaplan-Meier survival analyses were conducted. A univariate and multivariable Cox regression model was used to identify predictors.
Results:
A total of 181 patients were included in this final analysis. The median age was 62 years, 83% were male, and 26% were Interagency Registry for Mechanically Assisted Circulatory Support Profile 1. The mean HeartMate 3 survival risk score for the entire cohort was 2.66 ± 0.66. Two-year survivals in the high, average, and low survival groups were 93.5% ± 3.2%, 81.6% ± 7.4%, and 82.0% ± 6.6%, respectively. As a continuous variable, the unadjusted HeartMate 3 survival risk score was a significant predictor of mortality (hazard ratio, 2.20; 95% CI, 1.08-4.45; P = .029). The areas under the curve were 0.70 and 0.66 at 1 and 2 years, respectively. We were unable to demonstrate the discriminatory ability of the HeartMate 3 survival risk score using the original stratification, but we found significantly increased survival in the high survival group using a binary cutoff (hazard ratio, 4.8; 95% CI, 1.01-20.9; P = .038).
Conclusions:
The unadjusted HeartMate 3 survival risk score was associated with postimplant survival in patients outside of the Multicenter study Of MagLev Technology in Patients Undergoing Mechanical Circulatory Support Therapy with HeartMate 3 but did not remain an independent predictor after adjusting for ischemic etiology and severe diabetes. The HeartMate 3 survival risk score was able to identify patients at high survival using a binary cutoff, but we were unable to demonstrate its discriminatory ability among the previously published risk tertiles.
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