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. 2018 May 16;8:7726. doi: 10.1038/s41598-018-25835-5

Table 2.

Linear regression analysis for the association between Lp(a) level with coronary severity measured by Gensini score in patients with stable coronary artery disease.

Variables Standardized coefficients p
Univariate analysis
Lp(a) (log-transformed) 0.104 <0.001
Multivariate analysis adjusting for age, gender and LDL-C
Lp(a) (log-transformed) 0.092 <0.001
Age 0.103 <0.001
Gender (male vs. female) 0.137 <0.001
LDL-C 0.095 <0.001
Multivariate analysis adjusting for traditional cardiovascular risk factors
Lp(a) (log-transformed) 0.098 <0.001
Age 0.124 <0.001
Gender (male vs. female) 0.112 <0.001
BMI 0.015 0.540
History of hypertension (with vs. without) 0.018 0.466
History of diabetes mellitus (with vs. without) 0.062 0.014
History of current smoking (with vs. without) 0.066 0.017
Family history of premature CAD 0.010 0.684
TC −0.017 0.790
LDL-C 0.108 0.046
HDL-C −0.021 0.527
TG (log-transformed) 0.032 0.347

P values were from linear regression. Two-tailed p < 0.05 was considered statistically significant. CAD: coronary artery disease, BMI: body mass index, Lp(a): lipoprotein(a), TC: total cholesterol, LDL-C: LDL cholesterol, HDL-C: HDL cholesterol, non-HDL-C: non-HDL cholesterol, TG: triglyceride.