Clinical transplantation · 2026
Opioid Use as a Predictor of Pancreas Transplant Outcomes.
СтатьяНазвание и аннотация: Перевод в очереди
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Ko Youngmin, Cho Eunbyeol, Kwon Hye Eun, Kim Jin-Myung, Shin Sung, Kim Young Hoon, Choi Edward, Choi Byunghyun, Kwon Hyunwook
Аннотация
BACKGROUND: Posttransplant opioid dependence has been linked to adverse outcomes in solid organ transplantation, but its impact on pancreas transplantation is underexplored.
METHODS: This retrospective study analyzed 193 PTA/PAK recipients from Asan Medical Center (AMC) (2010-2022) and externally validated results in 77 recipients from Pusan National University Yangsan Hospital (PNUYH) (2015-2022). Posttransplant opioid dependence was defined as ≥ 10 opioid prescriptions between 3 and 12 months posttransplant. Logistic regression and three ML algorithms (CatBoost, XGBoost, and LightGBM) were used to identify risk factors and predict 5-year graft survival.
RESULTS: Posttransplant opioid dependence (OR 2.87, p = 0.005) independently predicted 5-year graft failure, along with pre-transplant retinopathy, bladder drainage, and lower BMI. ML models showed favorable internal AUROC (0.695-0.719) and moderate external AUROC (0.649-0.671). Opioid dependence consistently ranked among top predictive features across models.
CONCLUSIONS: Posttransplant opioid dependence is a significant predictor of graft failure after pancreas transplantation. Incorporating this variable into ML models may enhance risk stratification and candidate selection.
METHODS: This retrospective study analyzed 193 PTA/PAK recipients from Asan Medical Center (AMC) (2010-2022) and externally validated results in 77 recipients from Pusan National University Yangsan Hospital (PNUYH) (2015-2022). Posttransplant opioid dependence was defined as ≥ 10 opioid prescriptions between 3 and 12 months posttransplant. Logistic regression and three ML algorithms (CatBoost, XGBoost, and LightGBM) were used to identify risk factors and predict 5-year graft survival.
RESULTS: Posttransplant opioid dependence (OR 2.87, p = 0.005) independently predicted 5-year graft failure, along with pre-transplant retinopathy, bladder drainage, and lower BMI. ML models showed favorable internal AUROC (0.695-0.719) and moderate external AUROC (0.649-0.671). Opioid dependence consistently ranked among top predictive features across models.
CONCLUSIONS: Posttransplant opioid dependence is a significant predictor of graft failure after pancreas transplantation. Incorporating this variable into ML models may enhance risk stratification and candidate selection.