Vasconcelos Mariana A, Oliveira Eduardo A, Simões E Silva Ana Cristina, Dias Cristiane S, Mak Robert H, Fonseca Carolina C, Campos Ana Paula M, Steyerberg Ewout W, Vergouwe Yvonne
Pediatric Nephrology Unit, Department of Pediatrics, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
Division of Pediatric Nephrology, Rady Children's Hospital San Diego, University of California, San Diego, San Diego, CA, United States.
Front Pediatr. 2019 Apr 2;7:120. doi: 10.3389/fped.2019.00120. eCollection 2019.
The aim of this study was to identify predictive factors and develop a model to assess individualized risk of postnatal surgical intervention in patients with antenatal hydronephrosis. This is a retrospective cohort study of 694 infants with prenatally detected congenital anomalies of kidney and urinary tract with a median follow-up time of 37 months. The main event of interest was postnatal surgical intervention. A predictive model was developed using Cox model with internal validation by bootstrap technique. Of 694 patients, 164 (24%) infants underwent surgical intervention in a median age of 7.8 months. Predictors of the surgical intervention in the model were: baseline glomerular filtration rate, associated hydronephrosis, presence of renal damage and the severity of renal pelvic dilatation. The optimism corrected c statistic for the model was 0.84 (95%CI, 0.82-0.87). The predictive model may contribute to identify infants at high risk for surgical intervention. Further studies are necessary to validate the model in patients from other settings.
本研究的目的是确定预测因素,并开发一个模型来评估产前肾积水患者产后手术干预的个体化风险。这是一项对694例产前检测出先天性肾脏和尿路异常婴儿的回顾性队列研究,中位随访时间为37个月。主要关注的事件是产后手术干预。使用Cox模型并通过自举技术进行内部验证,开发了一个预测模型。在694例患者中,164例(24%)婴儿在中位年龄7.8个月时接受了手术干预。该模型中手术干预的预测因素为:基线肾小球滤过率、相关肾积水、肾损伤的存在以及肾盂扩张的严重程度。该模型经乐观校正后的c统计量为0.84(95%CI,0.82 - 0.87)。该预测模型可能有助于识别手术干预高风险婴儿。有必要进行进一步研究以在其他环境中的患者中验证该模型。