4 research outputs found

    Donor BMI and Post–living Donor Liver Transplantation Outcomes: A Preliminary Report

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    Background. Living liver donor obesity has been considered a relative contraindication to living donation given the association with hepatic steatosis and potential for poor donor and recipient outcomes. We investigated the association between donor body mass index (BMI) and donor and recipient posttransplant outcomes. Methods. We studied 66 living donors and their recipients who underwent living donor liver transplant at our center between 2013 and 2020. BMI was divided into 3 categories (<25, 25–29.9, and ≥30 kg/m2). Magnetic resonance imaging–derived proton density fat fraction was used to quantify steatosis. Donor outcomes included length of stay (LOS), emergency department visits within 90 d, hospital readmissions within 90 d, and complication severity. Recipient outcomes included LOS and in-hospital mortality. The Student t test was used to compare normally distributed variables, and Kruskal-Wallis tests were used for nonparametric data. Results. There was no difference in donor or recipient characteristics based on donor BMI. There was no significant difference in mean magnetic resonance imaging fat percentage among the 3 groups. Additionally, there was no difference in donor LOS (P = 0.058), emergency department visits (P = 0.64), and hospital readmissions (P = 0.66) across BMI category. Donor complications occurred in 30 patients. There was no difference in postdonation complications across BMI category (P = 0.19); however, there was a difference in wound complications, with the highest rate being seen in the highest BMI group (0% versus 16% versus 37%; P = 0.041). Finally, there was no difference in recipient LOS (P = 0.83) and recipient in-hospital mortality (P = 0.29) across BMI category. Conclusions. Selecting donors with BMI ≥30 kg/m2 can result in successful living donor liver transplantation; however, they are at risk for perioperative wound complications. Donor counseling and perioperative strategies to mitigate wound-related issues should be used when considering obese living donors

    High Coronary Artery Calcium Score Is Associated With Increased Major Adverse Cardiac Events After Liver Transplantation

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    Background. Liver transplantation (LT) candidates frequently have multiple cardiovascular risk factors, and cardiovascular disease is a major cause of morbidity and mortality after LT. Coronary artery calcium (CAC) scores are a noninvasive assessment of coronary artery disease using computed tomography. This study examines CAC scores and cardiac risk factors and their association with outcomes after LT. Methods. Patients who underwent LT between January 2010 and June 2019 with a pretransplant CAC score were included in this study. Patients were divided by CAC score into 4 groups (CAC score 0, CAC score 1–100, CAC score 101–400, CAC score >400). Major adverse cardiovascular events (MACEs) were defined as myocardial infarction, stroke, revascularization, heart failure, atrial fibrillation, and cardiovascular death. Associations between CAC score and MACE or all-cause mortality within the 5-y post-LT follow-up period were analyzed using Cox regression. Statistical significance was defined as P < 0.05. Results. During the study period, 773 adult patients underwent their first LT, and 227 patients met our study criteria. The median follow-up time was 3.4 (interquartile range 1.9, 5.3) y. After 5 y, death occurred in 47 patients (20.7%) and MACE in 47 patients (20.7%). In multivariable analysis, there was no difference in death between CAC score groups. There was significantly higher risk of MACE in the CAC score >400 group, with a hazard ratio 2.58 (95% confidence interval 1.05, 6.29). Conclusions. CAC score was not associated with all-cause mortality. Patients with CAC score >400 had an increase in MACEs within the 5-y follow-up period compared with patients with a CAC score = 0. Further research with larger cohorts is needed to examine cardiac risk stratification in this vulnerable patient population
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