Regression analyses to determine the independent predictor of high Gensini Score.
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https://figshare.com/articles/dataset/_Regression_analyses_to_determine_the_independent_predictor_of_high_Gensini_Score_/1252905
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Logistic regression analyses are performed. Bold values indicate statistical significance. Co-variates are included age, gender, BMI, current smoking, hypertension, family history of CAD, fasting blood glucose, TG, LDL-C, HDL-C and hs-CRP. ESR = Erythrocyte sedimentation rate; WBCC = White blood cell count; LP(a) = Lipoprotein(a); LVEF = Left ventricular ejection fraction; HbA1c = Glycosylated hemoglobinA1C; BMI = Body mass index; CAD = Coronary artery disease; TG = Triglyceride; LDL-C = Low-density lipoprotein-cholesterol; HDL-C = High-density lipoprotein-cholesterol; hs-CRP = High sensitivity C-reactive protein.
Regression analyses to determine the independent predictor of high Gensini Score.
创建时间:
2014-11-26



