Predictive scoring systems for mortality in heart transplant patients with liver cirrhosis

To compare the Model for End-Stage Liver Disease (MELD), MELD-XI, and Child-Turcotte-Pugh (CTP) scores for risk prediction in patients with cirrhosis undergoing heart transplantation. This study enrolled 66 consecutive patients (26 males; median age, 46 [18-68] years) with liver cirrhosis who underwent heart transplantation at our institution from 1994 to 2022. Potential preoperative outcome predictors and the preoperative MELD, MELD-XI, and CTP scores were calculated. The median follow-up duration was 45.2 months. The MELD (p = 0.01) and MELD-XI scores (p < 0.01) were significantly different between survivors and non-survivors. Cox regression analysis showed that high MELD (hazard ratio [HR] 1.07; 95% confidence interval [CI], 1.03-1.11; p < 0.01), MELD-XI (HR, 1.16; 95% CI, 1.06-1.21; p < 0.01), and CTP scores (HR, 1.43; 95% CI, 1.20-1.75; p = 0.01) were associated with the risk of all-cause mortality. Receiver operating characteristic curve analysis revealed that the optimal cut-off values of MELD, MELD-XI, and CTP scores were 12.2, 12.0, and 7.5, respectively (sensitivity: 69.2, 61.5, and 69.2%; specificity: 68.6, 60.0, and 62.9%, respectively) for all-cause mortality (area under the curve: 0.75, 0.69, and 0.73, respectively). Patients with advanced heart failure and liver cirrhosis have high mortality and morbidity rates after heart transplantation. However, these scoring systems can be used as risk stratification tools in patients with liver cirrhosis undergoing heart transplantation.Research registration unique identifying number: Research Registry (UIN: resarchregistry10791).

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Journal
Scientific Reports
Published
2025-04-12
DOI
https://doi.org/10.1038/s41598-025-87675-4
Citations
4
Primary Topic
Liver Disease and Transplantation
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article
Field-Weighted Citation Impact
5.29
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article

Predictive scoring systems for mortality in heart transplant patients with liver cirrhosis

Young‐Nam Youn, Hyo‐Hyun Kim
4 citations
Scientific Reports
Liver Disease and Transplantation
5.29
article

Predictive scoring systems for mortality in heart transplant patients with liver cirrhosis

Young‐Nam Youn, Hyo‐Hyun Kim
article en
4 citations

Abstract

To compare the Model for End-Stage Liver Disease (MELD), MELD-XI, and Child-Turcotte-Pugh (CTP) scores for risk prediction in patients with cirrhosis undergoing heart transplantation. This study enrolled 66 consecutive patients (26 males; median age, 46 [18-68] years) with liver cirrhosis who underwent heart transplantation at our institution from 1994 to 2022. Potential preoperative outcome predictors and the preoperative MELD, MELD-XI, and CTP scores were calculated. The median follow-up duration was 45.2 months. The MELD (p = 0.01) and MELD-XI scores (p < 0.01) were significantly different between survivors and non-survivors. Cox regression analysis showed that high MELD (hazard ratio [HR] 1.07; 95% confidence interval [CI], 1.03-1.11; p < 0.01), MELD-XI (HR, 1.16; 95% CI, 1.06-1.21; p < 0.01), and CTP scores (HR, 1.43; 95% CI, 1.20-1.75; p = 0.01) were associated with the risk of all-cause mortality. Receiver operating characteristic curve analysis revealed that the optimal cut-off values of MELD, MELD-XI, and CTP scores were 12.2, 12.0, and 7.5, respectively (sensitivity: 69.2, 61.5, and 69.2%; specificity: 68.6, 60.0, and 62.9%, respectively) for all-cause mortality (area under the curve: 0.75, 0.69, and 0.73, respectively). Patients with advanced heart failure and liver cirrhosis have high mortality and morbidity rates after heart transplantation. However, these scoring systems can be used as risk stratification tools in patients with liver cirrhosis undergoing heart transplantation.Research registration unique identifying number: Research Registry (UIN: resarchregistry10791).

Scientific ReportsVol. 15(1)
National Health Insurance Service (KR)
Good health and well-being
Openalex Percentile: Top 4%
Liver Disease and Transplantation
5.29
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Predictive scoring systems for mortality in heart transplant patients with liver cirrhosis — Young‐Nam Youn, Hyo‐Hyun Kim · Scientific Reports (2025) | TGRS Research Map | TGRS