Predicting gestational age improves newborn screening for congenital adrenal hyperplasia: a retrospective cohort study

IF 1.4
Danny Jomaa, S. Hawken, S. Lawrence, P. Chakraborty, Matthew Henderson
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Abstract

Background: Newborn screening for congenital adrenal hyperplasia (CAH) is increasingly performed using a two-tiered approach; 17-hydroxyprogesterone by immunoassay followed by steroid panel by liquid chromatography mass spectrometry. The first tier uses gestational age (GA)-based 17-hydroxyprogesterone screening thresholds. GA is unreported in approximately 5% of births and, in these cases, birth weight (BW)-based screening thresholds are used. However, BW based thresholds have a lower specificity, resulting in more first tier false positives. combining newborn the screening analytes measured in the blood spot screen, a predictive model this predicted in newborns with an unreported GA. Newborns underwent subsequent GA-based screening to determine whether this method results in a higher positive predictive value (PPV) than current BW-based screening methods. Methods: Screening results were obtained from Newborn Screening Ontario for 702,020 infants that were born in Ontario, Canada between 2011 and 2015. Predicted GA was calculated using a model composed of demographic and screening analyte factors. Newborns with an unreported GA underwent screening using BW and predicted GA, and the PPV for each method was calculated and compared. Descriptive statistics were determined for newborns that screened positive and negative with each algorithm. Results: PPV of first-tier GA-based and BW-based screening and 0.82%, respectively. time PPV of GA-based GA-based PPV of first-tier screening newborns GA Sequential screenings lower false positive true CAH. immune system disorders,
预测胎龄可改善新生儿先天性肾上腺增生筛查:一项回顾性队列研究
背景:先天性肾上腺增生症(CAH)的新生儿筛查越来越多地采用两层方法;17-羟孕酮免疫分析,类固醇板液相色谱质谱分析。第一层使用基于胎龄(GA)的17-羟孕酮筛查阈值。约5%的新生儿未报告GA,在这些情况下,使用基于出生体重(BW)的筛查阈值。然而,基于体重的阈值特异性较低,导致更多的一级假阳性。结合新生儿血斑筛查中测量的筛查分析,该预测模型预测了未报告GA的新生儿。新生儿随后进行基于ga的筛查,以确定该方法是否比目前基于体重的筛查方法产生更高的阳性预测值(PPV)。方法:从新生儿筛查安大略省获得2011年至2015年在加拿大安大略省出生的702020名婴儿的筛查结果。使用人口统计学和筛选分析因素组成的模型计算预测GA。未报告GA的新生儿使用体重和预测GA进行筛查,并计算和比较每种方法的PPV。对每种算法筛选阳性和阴性的新生儿进行描述性统计。结果:基于ga和bw的一级筛选PPV分别为0.82%和0.82%。基于GA的一线筛查新生儿GA的基于GA的PPV序贯筛查降低假阳性真CAH。免疫系统紊乱,
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CiteScore
1.70
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