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Characteristics of lipid profiles and lipid control in patients with diabetes in a tertiary hospital in Southwest China: an observational study based on electronic medical records.
Hou, Q, Yu, C, Li, S, Li, Y, Zhang, R, Zheng, T, Ma, Y, Wang, M, Su, N, Wu, T, et al
Lipids in health and disease. 2019;(1):13
Abstract
BACKGROUND Diabetes is often accompanied by dyslipidemia. Lipid control is very important in the management of diabetes. There are limited real world data on the lipid control in diabetic inpatients in southwest China. METHODS An observational study was conducted to assess the characteristics of lipid profiles and lipid control. Diabetic patients from February 2009 to December 2013 at West China Hospital of Sichuan University were identified. RESULTS A total of 56,784 inpatients were included and 85.9% of them had at least one lipid panel. The proportions of inpatients with optimal low-density lipoprotein cholesterol (LDL-C) level (< 2.59 mmol/L), optimal triglyceride (TG) level (< 1.70 mmol/L), optimal high-density lipoprotein cholesterol (HDL-C) level (men ≥1.04 mmol/L; women ≥1.30 mmol/L) and optimal non-high-density lipoprotein cholesterol (non-HDL-C) level (< 3.37 mmol/L) were 61.1, 64.6, 49.9 and 64.5%, respectively. Only 23.1% of inpatients obtained optimal levels for all the above four lipid parameters. Of diabetic inpatients with ischemic heart disease, the proportions of inpatients with optimal LDL-C level (< 1.81 mmol/L), optimal TG level (< 1.70 mmol/L), optimal HDL-C level (men ≥1.04 mmol/L; women ≥1.30 mmol/L) and optimal non-HDL-C level (< 2.59 mmol/L) were 38.0, 66.3, 48.1 and 48.7%, respectively. Of diabetic inpatients with cerebrovascular disease, the proportions were 28.3, 64.8, 49.9 and 38.1%, respectively. Older people and men were more likely to obtain optimal lipid levels. However, inpatients between 46 and 64 years were least likely to obtain optimal LDL-C levels. CONCLUSIONS The lipid control of diabetic inpatients in southwest China is worrisome. Individualized strategies of lipid management should be taken to bridge the gap between the recommendations of clinical guidelines and the real situation of clinical practice.
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Association between carbohydrate intake and serum lipids.
Ma, Y, Li, Y, Chiriboga, DE, Olendzki, BC, Hebert, JR, Li, W, Leung, K, Hafner, AR, Ockene, IS
Journal of the American College of Nutrition. 2006;(2):155-63
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Abstract
BACKGROUND The effect of dietary carbohydrate on blood lipids has received considerable attention in light of the current trend in lowering carbohydrate intake for weight loss. OBJECTIVES To evaluate the association between carbohydrate intake and serum lipids. METHODS Blood samples and 24-hour dietary and physical activity recall interviews were obtained from each subject at quarterly intervals for five consecutive quarters between 1994 and 1998 from 574 healthy adults in Central Massachusetts. Relationships between serum lipids and dietary carbohydrate factors were assessed using linear mixed models and adjusting for other risk factors known to be related to blood lipids. Both cross-sectional and longitudinal results were reported. RESULTS Cross-sectional analysis results from this study suggest that higher total carbohydrate intake, percentage of calories from carbohydrate, glycemic index (GI) and/or glycemic load (GL) are related to lower high-density lipoprotein cholesterol (HDL-C) and higher serum triacylglycerol levels, while higher total carbohydrate intake and/or GL are related to lower total and low-density lipoprotein cholesterol (LDL-C) levels. In a one-year longitudinal analysis, GL was positively associated with total and LDL-C levels, and there was an inverse association between percentage of calories from carbohydrate and HDL-C levels. CONCLUSIONS Results suggest that there is a complex and predominantly unfavorable effect of increased intake of highly processed carbohydrate on lipid profile, which may have implications for metabolic syndrome, diabetes, and coronary heart disease. Further studies in the form of randomized controlled trials are required to investigate these associations and determine the implications for lipid management.