Yue Wu, Xixuan Yu, Mengting Li, Jing Zhu, Jun Yue, Yan Wang, Yicun Man, Chao Zhou, Rongsheng Tong, Xingwei Wu
Risk prediction model based on machine learning for predicting miscarriage among pregnant patients with immune abnormalities
Frontiers in pharmacology
study aimed estimate prevalence possible cases fh analyze associated factors adult brazilian population crosssectional study laboratory data brazilian national health survey 8521 participants possible cases fh defined according dutch lipid clinic network criteria prevalence 95 confidence intervals 95 ci possible cases fh estimated according sociodemographic variables lifestyle diabetes hypertension altered tests treatment selfrated health logistic regression used analyze associations prevalence possible cases fh 096 higher women 45 59 years white raceskin color others less education people diabetes hypertension total cholesterol 310 mgdl presence fh positively associated regular selfrated health 196 95 ci 099384 poorvery poor 302 95 ci 130703 negatively black raceskin color 010 95 ci 002046 complete elementary school incomplete high school 047 95 ci 023098 complete high school 045 95 ci 021095 fh affects 1104 brazilian adults findings contribute understanding burden disease brazil due scarcity studies fh low middleincome countries studies desirable