Journal of perinatology : official journal of the California Perinatal Association · 2026
CAKUT calculator: a clinical risk prediction tool for in-hospital mortality in neonates with congenital anomalies of the kidney and urinary tract admitted to level IV NICUs.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
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.
Rumpel Jennifer A, Zaniletti Isabella, Stoops Christine, Verscaj Courtney P, Harer Matthew W, South Andrew M, Joseph Catherine, Gogcu Semsa, Revenis Mary, Khattab Mona, Padula Michael, Grover Theresa, Murthy Karna, Perazzo Sofia I, Children’s Hospitals Neonatal Consortium Kidney Focus Group
Аннотация
OBJECTIVE: To predict in-hospital mortality for infants with congenital anomalies of the kidney and urinary tract (CAKUT) using perinatal factors and use the resultant model to create an interactive clinical risk calculator.
STUDY DESIGN: A retrospective cohort study included 13,233 neonates with CAKUT diagnoses admitted to forty-six level IV neonatal intensive care units participating in the Children's Hospitals Neonatal Consortium from 2010 to 2024. A predictive model for in-hospital mortality was built using perinatal risk factors.
RESULTS: 1353 (10.2%) neonates died. Eight perinatal factors predicted mortality with strong model performance (area under the curve: 0.87 (95% confidence interval [CI]: 0.85, 0.88) training; 0.84 (95% CI: 0.82, 0.86) validation).
CONCLUSION: For newborn infants with CAKUT, prediction of in-hospital mortality can be estimated using 8 factors identifiable during the immediate perinatal period. Correspondingly, an on-line calculator that is publicly available for clinicians, researchers, and families of affected infants can be integrated in perinatal management.
STUDY DESIGN: A retrospective cohort study included 13,233 neonates with CAKUT diagnoses admitted to forty-six level IV neonatal intensive care units participating in the Children's Hospitals Neonatal Consortium from 2010 to 2024. A predictive model for in-hospital mortality was built using perinatal risk factors.
RESULTS: 1353 (10.2%) neonates died. Eight perinatal factors predicted mortality with strong model performance (area under the curve: 0.87 (95% confidence interval [CI]: 0.85, 0.88) training; 0.84 (95% CI: 0.82, 0.86) validation).
CONCLUSION: For newborn infants with CAKUT, prediction of in-hospital mortality can be estimated using 8 factors identifiable during the immediate perinatal period. Correspondingly, an on-line calculator that is publicly available for clinicians, researchers, and families of affected infants can be integrated in perinatal management.