A negative trend across PCSK9 quintiles was observed for some continuous variables (i.e., age, diastolic blood pressure, systolic blood pressure, body mass index, waist/hip ratio, educational level, uric acid, blood glucose, creatinine, and estimated glomerular filtration rate) and some categorical variables (i.e., male sex, personal histories of low high-density lipoproteins (HDL)-cholesterol, of hypertension and of diabetes) ( Table 1 ).
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Relationship between Circulating PCSK9 and Markers of Subclinical Atherosclerosis-The IMPROVE Study.
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