Richter J, Shinar S, Erdman L, Good H, Kim J K, Dos Santos J, Khondker A, Chua M, Van Mieghem T, Lorenzo A J, Rickard M
Division of Urology, The Hospital for Sick Children, Toronto, ON, Canada.
Department of Urology, Uro-Oncology, Robot-Assisted and Specialized Urologic Surgery, University Hospital Cologne, Cologne, Germany.
Ultrasound Obstet Gynecol. 2024 Dec;64(6):768-775. doi: 10.1002/uog.29129.
Lower urinary tract obstruction (LUTO) is a chronic condition with a spectrum of outcomes. It is usually suspected prenatally based on ultrasound features (USFs). Given the unknown postnatal trajectory and the potential for significant morbidity and mortality, many families choose termination of pregnancy (TOP), often based on USFs alone. Herein, we sought to develop a tool that can be used to predict postnatal outcome based on combinations of USFs, which can aid prenatal counseling and parental decision-making.
This was a retrospective study of cases with suspected fetal LUTO that were seen at a high-risk fetal center and a tertiary pediatric center in Canada. Data were collected on USFs, prenatal/postnatal death and postnatal need for transplantation and/or dialysis. USFs from pregnancies with a gestational age of 13-26 weeks on initial ultrasound at the high-risk fetal center that underwent TOP were collected and matched to fetuses with comparable prenatal USFs that were not terminated, which had a known postnatal outcome, to build a random forest model. The random forest model was fitted for each outcome (death, dialysis or transplantation) and tested for accuracy using leave-one-out cross-validation. Each predictor was assessed independently with combined importance when accounting for other predictors. The model was used to predict the most likely postnatal outcomes for cases of TOP had the pregnancy been continued.
USF data from 85 cases of TOP and 125 cases of expectantly managed pregnancy with prenatally suspected LUTO were retrieved. For expectantly managed cases, there was a median follow-up duration of 5.7 (interquartile range, 0.2-14.5) years among the liveborn infants. There were 14 prenatal and 22 postnatal deaths in the expectantly managed cohort. The random forest model demonstrated the highest predictive accuracy for transplantation (77% accuracy, 50% sensitivity, 80% specificity), followed by death (72% accuracy, 83% sensitivity, 67% specificity) and dialysis (71% accuracy, 70% sensitivity, 71% specificity). For the TOP cohort, had the pregnancies been continued, the model predicted transplantation and dialysis in 21/85 (25%) and 37/85 (44%) cases, respectively; pre- or postnatal death was predicted in 69/85 (81%) cases.
Our data suggest that it is possible to predict death and postnatal transplantation and/or dialysis from USFs in fetuses with suspected LUTO with acceptable accuracy. Predictive accuracy will improve with continued follow-up of more patients, enabling more personalized prenatal counseling and more informed decision-making for families. © 2024 The Author(s). Ultrasound in Obstetrics & Gynecology published by John Wiley & Sons Ltd on behalf of International Society of Ultrasound in Obstetrics and Gynecology.
下尿路梗阻(LUTO)是一种具有多种转归的慢性疾病。通常在产前根据超声特征(USF)怀疑该病。鉴于产后病程不明以及存在显著发病和死亡风险,许多家庭往往仅基于超声特征就选择终止妊娠(TOP)。在此,我们试图开发一种工具,可根据超声特征组合预测产后转归,以辅助产前咨询和家长决策。
这是一项对加拿大一家高危胎儿中心和一家三级儿科中心诊治的疑似胎儿LUTO病例的回顾性研究。收集了超声特征、产前/产后死亡以及产后移植和/或透析需求的数据。收集高危胎儿中心初次超声检查时孕周为13 - 26周且接受TOP的妊娠的超声特征,并与产前超声特征相似但未终止妊娠且有已知产后转归的胎儿进行匹配,以建立随机森林模型。针对每个转归(死亡、透析或移植)拟合随机森林模型,并使用留一法交叉验证测试其准确性。在考虑其他预测因素时,对每个预测因素的综合重要性进行独立评估。该模型用于预测若TOP病例继续妊娠最可能的产后转归。
检索到85例TOP病例和125例产前疑似LUTO且采取期待治疗的妊娠病例的超声特征数据。对于采取期待治疗的病例,活产婴儿的中位随访时间为5.7(四分位间距,0.2 - 14.5)年。期待治疗队列中有14例产前死亡和22例产后死亡。随机森林模型对移植的预测准确性最高(准确率77%,灵敏度50%,特异度80%),其次是死亡(准确率72%,灵敏度83%,特异度67%)和透析(准确率71%,灵敏度70%,特异度71%)。对于TOP队列,若继续妊娠,该模型分别预测21/85(25%)例病例会进行移植,37/85(44%)例病例会进行透析;预测69/85(81%)例病例会出现产前或产后死亡。
我们的数据表明,对于疑似LUTO的胎儿,根据超声特征预测死亡以及产后移植和/或透析具有可接受的准确性。随着对更多患者的持续随访,预测准确性将会提高,从而能够为家庭提供更个性化的产前咨询和更明智的决策。© 2024作者。《超声医学与妇产科》由John Wiley & Sons Ltd代表国际妇产科超声学会出版。