Table 4.

Calibration and discrimination statistics for the addition of eight significant pre- and early-pregnancy factors identified to the basic model.

Statistics	Basic model	Full model
Calibration
Akaike information criterion (AIC)	215,380	212,349
Bayesian information criteria (BIC)	215,501	212,586
Likelihood ratio (LR) test	p < 0.001
Discrimination
Net reclassification improvement (NRI)	p < 0.001
Integrated discrimination improvement (IDI)	p < 0.001
Area under receiver operating characteristic curve (AUROC)	p < 0.001

Variables in the basic model included age, alcohol drinking, cigarette smoking, education, age at menarche, maternal family histories of diabetes mellitus and hypertension, as well as the presence of hemopathy, epilepsy, hyperthyroidism, cardiovascular diseases, liver diseases, kidney diseases, and lung diseases. Variables in the full model additionally included pre-pregnancy body mass index, pre-pregnancy intake of folic acid, hypertension, while cell count, platelet count, alanine transaminase, albumin, direct bilirubin, and creatinine.