Maharaj Nakorn Chiang Mai Hospital, Chiang Mai University, Chiang Mai, Thailand.
Prenat Diagn. 2013 May;33(5):477-83. doi: 10.1002/pd.4095. Epub 2013 Mar 31.
The aim of the research was to determine effectiveness of the model for prenatal control in reducing new cases of severe thalassemia.
Pregnant women at six tertiary centers were recruited to follow the model, consisting of (1) carrier screening using mean corpuscular volume (for alpha-thal-1 and beta-thal) and CMU-E screen (for HbE trait), (2) carrier diagnosis, (3) the couples at risk were counseled and offered prenatal diagnosis, and (4) termination of affected pregnancy. All neonates were evaluated for thalassemia.
Of the 12,874 recruited pregnancies, 7008 were valid for analysis. Of them, 281 couples were identified to be at risk, Of the 281, 58 affected fetuses were identified and 55 pregnancies were terminated, whereas three did not accept pregnancy termination. All 6727 neonates at no risk were proven to be unaffected. The model had sensitivity and positive predictive value of 100% and 20%, respectively. The model could detect all of affected fetuses.
The model could prenatally identify affected fetuses with a detection rate and negative predictive value of 100%. The model was highly effective to prenatally detect affected fetuses with an acceptable false positive rate.
本研究旨在确定产前控制模型在减少重型地中海贫血新发病例方面的效果。
在六个三级中心招募孕妇,按照该模型进行随访,包括:(1)采用平均红细胞体积(针对α-地贫-1 和β-地贫)和 CMU-E 筛查(针对 HbE 性状)进行携带者筛查;(2)进行携带者诊断;(3)对有风险的夫妇进行咨询并提供产前诊断;(4)终止患病妊娠。所有新生儿均进行地中海贫血评估。
在纳入的 12874 例妊娠中,有 7008 例符合分析要求。其中,281 对夫妇被确定为有风险。在这 281 对夫妇中,发现 58 例受累胎儿,终止了 55 例妊娠,而有 3 例未接受终止妊娠。所有无风险的 6727 例新生儿均被证实未受影响。该模型的敏感性和阳性预测值分别为 100%和 20%。该模型可以检测出所有受累胎儿。
该模型可以在产前识别出受累胎儿,其检出率和阴性预测值均为 100%。该模型在产前检测受累胎儿方面非常有效,假阳性率可接受。