Key result
RIGHT-HTx stratifies 1-year post-transplant mortality, identifying high-risk patients with ~56% mortality vs ~8% in low-risk.
Why the study?
Risk models from high-income heart transplant programmes may not generalise to resource-constrained settings with different recipient acuity, donor characteristics, and access to mechanical circulatory support.
Does the RIGHT-HTx multidomain vulnerability framework accurately stratify risk and predict all-cause mortality within 12 months in adult heart transplant recipients in a resource-constrained setting?
Cohort (n=436)
No
Does the RIGHT-HTx multidomain vulnerability framework accurately stratify risk and predict all-cause mortality within 12 months in adult heart transplant recipients in a resource-constrained setting?
Answers are grounded in this paper and cite their sources.
The RIGHT-HTx framework demonstrates that the convergence of clinical acuity, renal dysfunction, and haemodynamic-donor size mismatch strongly stratifies early 1-year mortality risk after heart transplantation in a resource-constrained setting.
BACKGROUND Risk models from high-income transplant programmes may not generalise to resource-constrained settings with different recipient acuity, donor characteristics and access to mechanical circulatory support. We developed RIGHT-HTx, a parsimonious framework integrating clinical and physiological vulnerabilities, and evaluated its prognostic performance in a subsequent same-centre cohort. METHODS This retrospective single-centre study included 436 consecutive adult heart transplant recipients (2012-2026). Of 357 development recipients, 341 (95.5%) were score-evaluable. RIGHT-HTx incorporated three vulnerability domains: clinical acuity (INTERMACS 1-2), graded renal dysfunction (eGFR 30-59 or <30 mL/min/1.73 m2) and haemodynamic-donor mismatch (TPG >12 mmHg combined with donor-to-recipient weight ratio <1.0). A seven-point Cox-derived score underwent internal validation using 1,000 bootstrap resamples and was applied unchanged to 79 subsequent recipients. Low-, intermediate- and high-risk categories represented zero, one and 2 affected domains, respectively. RESULTS Among development recipients, 75/341 (22.0%) died within one year. Mortality increased across low-, intermediate- and high-risk categories (8.1%, 20.3% and 55.6%; log-rank P<0.001). Elevated TPG was not significantly associated with mortality individually, whereas its combination with donor undersizing was independently associated with mortality (adjusted HR 2.87, 95% CI 1.53-5.40; P=0.001). The full model improved discrimination beyond renal dysfunction alone (optimism-corrected C-index 0.067), and the simplified score achieved an optimism-corrected C-index of 0.732. The temporal cohort more often had 1 affected domain (75.9% versus 60.4%; P=0.010). Discrimination was comparable (C-index 0.738, 95% CI 0.643-0.833), although observed Kaplan-Meier one-year mortality exceeded original predictions (35.4% versus 25.4%; calibration slope 0.929). In pooled analyses (n=420), mortality increased from 8.4% (13/154) with no affected domain to 57.3% (47/82) with two or more. CONCLUSIONS RIGHT-HTx identifies cumulative multidomain vulnerability associated with early mortality after heart transplantation. Temporal discrimination was comparable, but absolute-risk calibration differed. The framework may support risk recognition and mitigation, not transplant eligibility or allocation; independent multicentre validation is required before clinical implementation.
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Balakrishnan et al. (2026) conducted a cohort in Adult heart transplantation for end-stage heart failure (n=436). RIGHT-HTx high-risk category (≥2 vulnerability domains: INTERMACS 1-2, renal dysfunction, or TPG >12 mmHg with donor undersizing) vs. RIGHT-HTx low-risk category (0 affected vulnerability domains) was evaluated on All-cause mortality within 12 months of heart transplantation (C-index 0.732 (development) / 0.738 (temporal), 95% CI 0.643-0.833, p=<0.001). RIGHT-HTx stratified 1-year post-heart transplant mortality from 8.1% (low-risk) to 55.6% (high-risk; P<0.001) with a temporal validation C-index of 0.738.
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