Abstract 4360945: Comprehensive Ranking of Maintenance Immunosuppressive Therapies for Heart Transplant Recipients: A Systematic Review and Bayesian Network Meta-Analysis

Introduction: Prior studies report mixed efficacy of maintenance immunosuppressive regimens in heart transplantation (HT). We conducted a network meta-analysis (NMA) to compare and rank these regimens. Methods: Six databases were searched for studies comparing HT immunosuppressive regimens. A Bayesian NMA (R v4.5.1, "geMTC") ranked treatments via SUCRA values, evaluating regimens including antimetabolite (AM), mTOR inhibitor (mTA), and calcineurin inhibitor (CNI). Results: A total of 38 studies involving 5,451 patients were included, evaluating five key outcomes. For all-cause mortality, AM_Alone ranked highest (SUCRA: 0.744), followed closely by mTA_Alone (SUCRA: 0.734), both demonstrating modest but consistent benefits (OR range: 0.73–0.87 vs. other regimens). mTA+Reduced+CNI ranked lowest (SUCRA: 0.001) with an implausibly extreme OR (1.1e-16, 95% CI: 3.5e-28–0.017), likely due to data limitations. In terms of acute rejection, AM_Alone again ranked highest (SUCRA: 0.841), with CNI+mTOR (SUCRA: 0.719) and CNI_AM (SUCRA: 0.587) as favorable alternatives. Although mTA+Reduced+CNI ranked lowest (SUCRA: 0.097), its odds ratio (OR) of 0.084 (95% CI: 0.0072–0.99) suggests possible efficacy, albeit with low confidence. For CMV prevention, CNI_AM performed best (SUCRA: 0.843), with all other regimens associated with increased CMV risk (ORs <1 vs. CNI_AM). CNI_Alone (SUCRA: 0.808; OR: 0.92, 95% CI: 0.22–3.6) and AM_Alone (SUCRA: 0.762; OR: 0.85, 95% CI: 0.09–9.4) performed similarly, while mTA_Alone was least effective (SUCRA: 0.185; OR: 0.15, 95% CI: 0.034–0.53). For cardiac allograft vasculopathy (CAV), AM_Alone was the most protective (SUCRA: 0.922), followed by CNI_Alone (SUCRA: 0.812). CNI_AM and mTOR also showed benefits (ORs: 0.28 and 0.35, respectively). mTA+AM (SUCRA: 0.205) and CNI+mTA (SUCRA: 0.208) ranked lower, although both showed promising point estimates (OR: 0.18), albeit with wide confidence intervals (e.g., 0.024–1.1). For renal function (eGFR), mTA+AM ranked highest (SUCRA: 0.750). Compared to this, CNI_AM showed a modest decline (MD: –21 mL/min, 95% CI: –70 to 27 mL/min). In contrast, CNI_Alone and mTA+Reduced+CNI had the poorest outcomes (MD: –46 and –55 mL/min, respectively), although with broad confidence intervals. Conclusions: AM_Alone showed consistent benefits, while reduced-CNI regimens underperformed. These findings may guide post-HT care, though some estimates require cautious interpretation.

Authors

Institutions

Publication Details

Journal
Circulation
Published
2025-11-03
DOI
https://doi.org/10.1161/circ.152.suppl_3.4360945
Primary Topic
Transplantation: Methods and Outcomes
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Abstract 4360945: Comprehensive Ranking of Maintenance Immunosuppressive Therapies for Heart Transplant Recipients: A Systematic Review and Bayesian Network Meta-Analysis

Nader Shaban, Ankur Singla, Rana Jaffal, Bara M. Hammadeh et al.
Circulation
Transplantation: Methods and Outcomes
article

Abstract 4360945: Comprehensive Ranking of Maintenance Immunosuppressive Therapies for Heart Transplant Recipients: A Systematic Review and Bayesian Network Meta-Analysis

Nader Shaban, Ankur Singla, Rana Jaffal, Bara M. Hammadeh, Muaath I. Alsufi, Alzahra’a Al Matairi, Layan Aldib
article en

Abstract

Introduction: Prior studies report mixed efficacy of maintenance immunosuppressive regimens in heart transplantation (HT). We conducted a network meta-analysis (NMA) to compare and rank these regimens. Methods: Six databases were searched for studies comparing HT immunosuppressive regimens. A Bayesian NMA (R v4.5.1, "geMTC") ranked treatments via SUCRA values, evaluating regimens including antimetabolite (AM), mTOR inhibitor (mTA), and calcineurin inhibitor (CNI). Results: A total of 38 studies involving 5,451 patients were included, evaluating five key outcomes. For all-cause mortality, AM_Alone ranked highest (SUCRA: 0.744), followed closely by mTA_Alone (SUCRA: 0.734), both demonstrating modest but consistent benefits (OR range: 0.73–0.87 vs. other regimens). mTA+Reduced+CNI ranked lowest (SUCRA: 0.001) with an implausibly extreme OR (1.1e-16, 95% CI: 3.5e-28–0.017), likely due to data limitations. In terms of acute rejection, AM_Alone again ranked highest (SUCRA: 0.841), with CNI+mTOR (SUCRA: 0.719) and CNI_AM (SUCRA: 0.587) as favorable alternatives. Although mTA+Reduced+CNI ranked lowest (SUCRA: 0.097), its odds ratio (OR) of 0.084 (95% CI: 0.0072–0.99) suggests possible efficacy, albeit with low confidence. For CMV prevention, CNI_AM performed best (SUCRA: 0.843), with all other regimens associated with increased CMV risk (ORs <1 vs. CNI_AM). CNI_Alone (SUCRA: 0.808; OR: 0.92, 95% CI: 0.22–3.6) and AM_Alone (SUCRA: 0.762; OR: 0.85, 95% CI: 0.09–9.4) performed similarly, while mTA_Alone was least effective (SUCRA: 0.185; OR: 0.15, 95% CI: 0.034–0.53). For cardiac allograft vasculopathy (CAV), AM_Alone was the most protective (SUCRA: 0.922), followed by CNI_Alone (SUCRA: 0.812). CNI_AM and mTOR also showed benefits (ORs: 0.28 and 0.35, respectively). mTA+AM (SUCRA: 0.205) and CNI+mTA (SUCRA: 0.208) ranked lower, although both showed promising point estimates (OR: 0.18), albeit with wide confidence intervals (e.g., 0.024–1.1). For renal function (eGFR), mTA+AM ranked highest (SUCRA: 0.750). Compared to this, CNI_AM showed a modest decline (MD: –21 mL/min, 95% CI: –70 to 27 mL/min). In contrast, CNI_Alone and mTA+Reduced+CNI had the poorest outcomes (MD: –46 and –55 mL/min, respectively), although with broad confidence intervals. Conclusions: AM_Alone showed consistent benefits, while reduced-CNI regimens underperformed. These findings may guide post-HT care, though some estimates require cautious interpretation.

CirculationVol. 152(Suppl_3)
University of Jordan (JO), Valparaiso University (US), Al-Balqa Applied University (JO)
Openalex Percentile: Top 50%
Transplantation: Methods and Outcomes
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.