Pregnancy outcomes in women affected by fetal alpha-thalassemia: a case control study

Abstract

To evaluate the possible associations between fetal α-thalassemia and risk of adverse pregnancy outcomes using a provincial woman-child health service information database in China. This was a case control study (N = 438,747) in which we compared all singleton pregnancies of women with or without the α-thalassemia trait from May 2016 to May 2020, and where women with the trait were further allocated to a normal fetal group, a group of fetuses with the α-thalassemia trait, and a fetal group with hemoglobin H (HbH) disease according to the results of fetal DNA analysis. With thalassemic women whose fetuses were normal as the reference, fetuses in the HbH disease group showed a higher increase in the odds of Apgar scores being < 7 at 1 min (adjusted odds ratio [aOR], 2.79; 1.03–7.59) and 5 min (aOR, 4.56; 1.07–19.40). With non-thalassemic women as the reference, these trends were more obvious (aOR, 4.83; 2.55–9.16; aOR, 6.24; 2.75–14.18, respectively); whereas the normal fetal group was more likely to be diagnosed with postpartum hemorrhage (aOR, 1.66; 1.10–2.50). In addition, fetal HbH disease and gestational age were two independent factors influencing low Apgar scores, and their combination reflected medium accuracy in Apgar predictions.

Automated predictive analytics tool for rainfall forecasting

“…We performed feature engineering and logistic regression to perform predictive classification modelling. During the testing and evaluation of all the classification models, we evaluated over 500 feature set combinations and used the following set of features for logistic regression based on their statistical significance, model performance and prediction error 27 . After performing above feature engineering, we determine the following weights as the optimal weights to each of the above features with their respective coefficients for the best model performance 28 .…”

Effect of gestational diabetes mellitus on pregnancy outcomes among younger and older women and its additive interaction with advanced maternal age

“…With the guidelines and regulations of the Guangxi Health Commission, all eligible hospitals in Nanning were required to extract information about antenatal care, delivery and infant outcomes from the medical records and input them into this provincial database system. The data entry and management methods were implemented per the previous study ( 17 ). Clinical characteristics assessed were: gravidity, parity, obesity (pre-pregnancy body mass index ≥ 30 kg/m 2 ), examination at first trimester, number of prenatal visits, previous cesarean history, prior spontaneous or induced abortion and assisted reproductive technology (ART).…”