Ki-Chul Sung1, Sarah H Wild, Christopher D Byrne. 1. Division of Cardiology, Department of Medicine, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, #108, Pyung Dong, Jongro-Ku, Seoul 110-746, Republic of Korea. Electronic address: kcmd.sung@samsung.com.
Abstract
BACKGROUND: The independent effect of high density lipoprotein cholesterol (HDL-C) concentration to confer cardiovascular disease protection has been questioned. We investigated whether the inverse association between HDL-C concentration and a measure of preclinical atherosclerosis was modified by other risk factors. METHODS: Cross-sectional data were analysed from an occupational cohort of 12,031 men who had measurements of cardiovascular risk factors and a cardiac computed tomography (CT) estimation of coronary artery calcium (CAC) score, a measure of pre-clinical atherosclerosis. Logistic regression was used to describe associations between both HDL-C and Apo-A-I concentrations and their ratio as exposures, and CAC scores > 0, ≥ 20 and ≥ 100, as outcomes. RESULTS: 1351 (11.2%), 665 (5.5%) and 230 (1.9%) of participants had a CAC score > 0, ≥ 20 and ≥ 100, respectively. Adjusting for age, glucose, triglyceride, LDL-C, systolic blood pressure, waist circumference, prior cerebrovascular accident, prior coronary artery disease, prior hypertension, alcohol consumption, smoking status and exercise, a negative association existed between HDL-C and CAC score. (E.g. odds ratio (OR) for top compared to bottom HDL-C quartile for CAC > 0 = 0.78 [95%CI 0.64, 0.94], p = 0.01). Further adjustment for Apo A-I changed the direction of the association between HDL-C and CAC score > 0 (OR for top compared to bottom quartiles 1.61 [95%CI 1.18, 2.21], p = 0.003). Sensitivity analyses showed that point estimates for ORs were very similar regardless of CAC score threshold (CAC > 0, ≥ 20 and ≥ 100). CONCLUSION: Controlling for Apo A-I concentrations changes the inverse direction of relationship between high HDL-C concentration and a measure of pre-clinical atherosclerosis.
BACKGROUND: The independent effect of high density lipoprotein cholesterol (HDL-C) concentration to confer cardiovascular disease protection has been questioned. We investigated whether the inverse association between HDL-C concentration and a measure of preclinical atherosclerosis was modified by other risk factors. METHODS: Cross-sectional data were analysed from an occupational cohort of 12,031 men who had measurements of cardiovascular risk factors and a cardiac computed tomography (CT) estimation of coronary artery calcium (CAC) score, a measure of pre-clinical atherosclerosis. Logistic regression was used to describe associations between both HDL-C and Apo-A-I concentrations and their ratio as exposures, and CAC scores > 0, ≥ 20 and ≥ 100, as outcomes. RESULTS: 1351 (11.2%), 665 (5.5%) and 230 (1.9%) of participants had a CAC score > 0, ≥ 20 and ≥ 100, respectively. Adjusting for age, glucose, triglyceride, LDL-C, systolic blood pressure, waist circumference, prior cerebrovascular accident, prior coronary artery disease, prior hypertension, alcohol consumption, smoking status and exercise, a negative association existed between HDL-C and CAC score. (E.g. odds ratio (OR) for top compared to bottom HDL-C quartile for CAC > 0 = 0.78 [95%CI 0.64, 0.94], p = 0.01). Further adjustment for Apo A-I changed the direction of the association between HDL-C and CAC score > 0 (OR for top compared to bottom quartiles 1.61 [95%CI 1.18, 2.21], p = 0.003). Sensitivity analyses showed that point estimates for ORs were very similar regardless of CAC score threshold (CAC > 0, ≥ 20 and ≥ 100). CONCLUSION: Controlling for Apo A-I concentrations changes the inverse direction of relationship between high HDL-C concentration and a measure of pre-clinical atherosclerosis.
Authors: Corina Rosales; Niket Patel; Baiba K Gillard; Dedipya Yelamanchili; Yaliu Yang; Harry S Courtney; Raul D Santos; Antonio M Gotto; Henry J Pownall Journal: Biochemistry Date: 2015-04-02 Impact factor: 3.162
Authors: Henrique J C B Gouveia; Mercedes V Urquiza-Martínez; Raul Manhães-de-Castro; Bárbara J R Costa-de-Santana; José Pérez Villarreal; Rosalío Mercado-Camargo; Luz Torner; Jailane de Souza Aquino; Ana E Toscano; Omar Guzmán-Quevedo Journal: Int J Mol Sci Date: 2022-07-28 Impact factor: 6.208