2 research outputs found

    Athletic transition: An investigation of elite track and field participation in the post-high school years

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    Our goal was to estimate the role of high-density lipoprotein cholesterol (HDL-C) in predicting the prevalence and extent of coronary artery disease (CAD) in 3280 patients undergoing coronary angiography. Predictors of lower HDL levels (<32 mg/dL) were male gender (P < .001), diabetes mellitus (P = .03), renal failure (P = .01), higher low-density lipoprotein and total cholesterol (P < .001, respectively), triglycerides (P < .001), and white blood cells (P < .001), aging (P < .001), previous myocardial infarction (P = .02) and hemoglobin (P < .001), treatment with angiotensin-receptor blockers (P < .001), and statins (P = .002). The HDL-C levels were significantly inversely associated with prevalence of CAD (P < .001, adjusted odds ratio [OR] [95% confidence interval, CI] = 1.35 [1.25-1.45], P < .001), and HDL-C <44 mg/dL was best the predictive value of the risk of CAD, (adjusted OR [95%CI] = 1.61 [1.24-2.1], P < .001). We found significant association between HDL-C and the risk of CAD; a value <44 mg/dL was the best cutoff in the prediction of CAD

    Congenital heart disease in the ESC EORP Registry of Pregnancy and Cardiac disease (ROPAC)

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