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Assessing donor-recipient size metrics for heart transplant outcomes: UNOS database analysis
Tyler M Bauer1, Matthew P Weber1, Thomas J O'Malley1
1Department of Cardiac Surgery, Sidney Kimmel Medical College at Thomas Jefferson University, Philadelphia, Pennsylvania, USA.
Insights
Body mass index (BMI) ratio is the most significant predictor of survival in heart transplant recipients, especially those with restrictive cardiomyopathy. Different heart failure etiologies impact how patients tolerate donor-recipient size mismatch.
Area of Science:
- Cardiology
- Transplant Surgery
- Medical Statistics
Background:
- Donor-recipient size matching is crucial for cardiac transplant success.
- Current size-match metrics lack universal acceptance and predictive validation across different heart failure etiologies.
- The impact of restrictive versus non-restrictive heart failure pathology on size-match metric efficacy is not well understood.
Purpose of the Study:
- To evaluate the predictive performance of common donor-recipient size-match metrics for cardiac transplant outcomes.
- To determine if recipient heart failure etiology (restrictive vs. non-restrictive) influences the association between size-match metrics and survival.
- To identify the most reliable size-match metric for predicting survival in diverse cardiac transplant populations.
Main Methods:
- Utilized the UNOS registry data from 2000-2017 for primary isolated heart transplants.
- Calculated donor-recipient ratios for multiple size metrics including height, predicted heart mass (PHM), ideal body weight (IBW), body mass index (BMI), weight, and body surface area (BSA).
- Employed continuous, nonlinear analysis to assess the association between size metrics and patient survival, stratifying by restrictive and non-restrictive heart failure pathology.
Main Results:
- Height, PHM, IBW, and BMI ratios were significantly associated with survival (p < .001).
- Weight and BSA ratios did not show significant association with survival.
- Body mass index (BMI) ratio was the only metric to retain significance across both restrictive (p = .051) and non-restrictive (p = .003) recipient groups.
- Recipients with restrictive etiology exhibited increased mortality risk with both low and high BMI ratios, indicating differential tolerance to size mismatch.
Conclusions:
- Body mass index (BMI) ratio is a significant predictor of survival in cardiac transplantation, particularly in patients with restrictive heart failure.
- The efficacy of various size-match metrics differs based on the recipient's underlying heart failure etiology.
- Understanding how restrictive and non-restrictive heart failure impacts size mismatch tolerance is critical for optimizing cardiac transplant outcomes.
Study:
There is no widely accepted donor to recipient size-match metric to predict outcomes in cardiac transplant. The predictive ability of size-match metrics has not been studied when recipients are stratified by heart failure etiology. We sought to assess the performance of commonly used size metrics to predict survival after heart transplant, accounting for restrictive versus non-restrictive pathology.
Methods:
The UNOS registry was queried from 2000 to 2017 for all primary isolated heart transplants. Donor-recipient ratios were calculated for commonly used size metrics and their association with survival was assessed using continuous, nonlinear analysis.
Results:
29 817 patients were identified. Height (P < .001), predicted heart mass (PHM) (P = .003), ideal body weight (IBW) (P < .001) and body mass index (BMI) (P = .003) ratios were significantly associated with survival, while weight and body surface area (BSA) ratios were not. When stratified, only BMI ratio retained significance for both restrictive (P = .051) and non-restrictive (P = .003) subsets. Recipients with restrictive etiology had increased risk of mortality with both a lower and higher BMI ratio.
Conclusions:
While many metrics show association with survival in the non-restrictive subset, BMI is the only metric that retains significance in the restrictive subset. Recipients with restrictive and non-restrictive etiologies of heart failure tolerate size mismatch differently.
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