TY  - JOUR
TI  - What are the predominant parameters for Down syndrome risk estimation in firsttrimester screening: a data mining study
AB  - Objectives: This study aimed to evaluate the effect size of each parameter used in the first trimester Down syndrome (DS) risk analyses by using multiple regression analysis techniques. Methods: This data mining study included data of 44,260 pregnant women screened at the Acibadem Labmed laboratories from 2010 to 2019. In this study, risk was calculated using the PRISCA software on the basis of nuchal translucency (NT), crown-rump length measurement, in vitro fertilization application, diabetes mellitus, Down syndrome story, smoking, maternal age, and the level of maternal serum biochemistry markers including pregnancy-associated plasma protein-A (PAPP-A) and free beta-human chorionic gonadotropin (hCGβ). Results: Forty-four thousand two hundred sixty risk analysis patients result data were re-investigate, and 851 (1.93%) risk analysis results were found as positive. PAPP-A 747 (CI%, 476–1,170) times, NT value 512 (CI%, 343–764) times, DS story 21 times (CI%, 6.7–63.2) and hCGβ value 7.01 (CI%, 6.31–7.79) times affect the combined firsttrimester risk analysis results. Conclusions: We have suggested that those accurate PAPP-A levels and NT levels evaluation are the most critical point of combined risk analysis and that the risk of free hCGβ levels after PAPP-A is essential as a biochemical test.
AU  - solak, semra
AU  - Serdar, Muhittin A.
AU  - Serteser, Mustafa
AU  - aksungar, fehime benli
AU  - Yayla, Murat
AU  - Göğüş, Şerife Sema
AU  - KILERCIK, MELTEM
AU  - YOZGAT, İhsan
AU  - Kaya, Zelal Zuhal
DO  - 10.1515/tjb-2022-0004
PY  - 2022
JO  - Türk Biyokimya Dergisi
VL  - 47
IS  - 6
SN  - 1303-829X
SP  - 704
EP  - 709
DB  - TRDizin
UR  - http://search/yayin/detay/1173715
ER  -