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. 2019 Jun 19;32(11):1075–1081. doi: 10.1093/ajh/hpz099

Table 3.

Baseline risk factors selection for the prediction of CAD using LASSO–Cox regression model

Risk factors β coefficient
Overall Subset age < 35 years Subset age ≥ 35 years Subset HbA1c < 9% Subset HbA1c ≥ 9%
SBP 0.168** 0.033 0.081
DBP
PP 0.247* 0.128
MAP 0.153 0.147
Age 0.717** 0.526** 0.588** 0.801**
Age of diabetes onset −0.192** −0.177** −0.172 −0.207** −0.151
Female
Ever smoking 0.137 0.073 0.219* 0.075 0.192
BMI 0.024 0.108
Pulse rate
HbA1c
Urinary AER 0.197 0.191* 0.075 0.212* 0.155
HDL cholesterol −0.134* −0.388** −0.085 −0.125
Non-HDL cholesterol 0.208** 0.230** 0.214* 0.167
WBC 0.090 0.082 0.030 0.066 0.094
Antihypertensive use 0.098 0.078 0.107 0.042 0.179

Inference with fixed lambda (optimal lambda based on 10-fold cross-validation). Abbreviations: AER, urinary albumin excretion rate; BMI, body mass index; CAD, coronary artery disease; DBP, diastolic blood pressure; HbA1c, hemoglobin A1c; HDL, high-density lipoprotein; LASSO, least absolute shrinkage and selection operator; MAP, mean artery pressure; PP, pulse pressure; SBP, systolic blood pressure; WBC, white blood cell counts.

*P < 0.05, **P <0.01.