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Regression analyses to determine the independent predictor of high Gensini Score.

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NIAID Data Ecosystem2026-03-09 收录
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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.
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2014-11-26
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