Power Alyssa, Nettel-Aguirre Alberto, Fruitman Deborah
Department of Pediatrics, Cumming School of Medicine, University of Calgary, 2500 University Drive NW, Calgary, AB, T2N 1N4, Canada.
Alberta Children's Hospital, 2888 Shaganappi Trail NW, Calgary, AB, T3B 6A8, Canada.
Pediatr Cardiol. 2017 Oct;38(7):1471-1477. doi: 10.1007/s00246-017-1686-6. Epub 2017 Jul 24.
Fetal right ventricular (RV) prominence is a known indicator of possible left-sided structural heart disease with a low positive predictive value for aortic coarctation. There is a paucity of data on identifying which fetuses with RV prominence will have postnatal arch obstruction. Our study objectives were to create a clinical prediction tool for coarctation and to describe the diagnostic outcomes of our cohort with fetal RV prominence. We performed a retrospective review of patients referred with fetal RV prominence from January 2009 to October 2015. Recorded fetal echocardiographic variables included gestational age, semilunar and atrioventricular valve dimensions, left and right ventricular mid-cavitary dimensions, foramen ovale and aortic arch flow direction, and isthmal diameter. Postnatal cardiac and non-cardiac diagnoses were documented. We performed descriptive analysis for postnatal outcomes and classification tree analysis to create a clinical prediction tool. Eighty-eight patients were reviewed; 58 (66%) had abnormal postnatal echocardiograms, 45 (51%) had left-sided lesions, including 26 (30%) with coarctation, and 6 (7%) had pulmonary hypertension. Our clinical prediction tool employs gestational age, RV mid-cavitary dimension z-score, and isthmal diameter z-score to predict coarctation with 85% accuracy, 95% confidence interval [75.3, 92.4%]. Our model correctly classified 45/54 non-coarctation and 19/21 coarctation cases, with 90% sensitivity and 83% specificity. Developing an accurate prediction tool for coarctation in cases of fetal RV prominence is an important first step in improving our management of these challenging cases.
胎儿右心室(RV)突出是已知的可能存在左侧结构性心脏病的指标,对主动脉缩窄的阳性预测值较低。关于识别哪些有RV突出的胎儿会出现出生后主动脉弓梗阻的数据很少。我们的研究目标是创建一个用于预测主动脉缩窄的临床预测工具,并描述我们队列中胎儿RV突出患者的诊断结果。我们对2009年1月至2015年10月因胎儿RV突出转诊的患者进行了回顾性研究。记录的胎儿超声心动图变量包括胎龄、半月瓣和房室瓣尺寸、左右心室中腔尺寸、卵圆孔和主动脉弓血流方向以及峡部直径。记录出生后的心脏和非心脏诊断情况。我们对出生后结果进行了描述性分析,并进行了分类树分析以创建临床预测工具。共回顾了88例患者;58例(66%)出生后超声心动图异常,45例(51%)有左侧病变,其中26例(30%)有主动脉缩窄,6例(7%)有肺动脉高压。我们的临床预测工具采用胎龄、RV中腔尺寸z评分和峡部直径z评分来预测主动脉缩窄,准确率为85%,95%置信区间为[75.3, 92.4%]。我们的模型正确分类了45/54例非主动脉缩窄病例和19/21例主动脉缩窄病例,敏感性为90%,特异性为83%。为胎儿RV突出病例中的主动脉缩窄开发一种准确的预测工具是改善我们对这些具有挑战性病例管理的重要第一步。