Blood Lipids and Stroke: What More Can We Do Besides Reducing Low-Density Lipoprotein Cholesterol?

2011 ◽  
Vol 13 (4) ◽  
pp. 306-313 ◽  
Author(s):  
Dominique Deplanque ◽  
Pierre Amarenco
Keyword(s):  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol

scholarly journals Low-Density Lipoprotein Cholesterol 4: The Notable Risk Factor of Coronary Artery Disease Development

2021 ◽  
Vol 8 ◽  
Author(s):  
Dongmei Wu ◽  
Qiuju Yang ◽  
Baohua Su ◽  
Jia Hao ◽  
Huirong Ma ◽  
...  
Keyword(s):  
Risk Factors ◽  
Coronary Artery Disease ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Artery Disease ◽  
Cad Risk

Background: Coronary artery disease (CAD) is the leading cause of death worldwide, which has a long asymptomatic period of atherosclerosis. Thus, it is crucial to develop efficient strategies or biomarkers to assess the risk of CAD in asymptomatic individuals.Methods: A total of 356 consecutive CAD patients and 164 non-CAD controls diagnosed using coronary angiography were recruited. Blood lipids, other baseline characteristics, and clinical information were investigated in this study. In addition, low-density lipoprotein cholesterol (LDL-C) subfractions were classified and quantified using the Lipoprint system. Based on these data, we performed comprehensive analyses to investigate the risk factors for CAD development and to predict CAD risk.Results: Triglyceride, LDLC-3, LDLC-4, LDLC-5, LDLC-6, and total small and dense LDL-C were significantly higher in the CAD patients than those in the controls, whereas LDLC-1 and high-density lipoprotein cholesterol (HDL-C) had significantly lower levels in the CAD patients. Logistic regression analysis identified male [odds ratio (OR) = 2.875, P < 0.001], older age (OR = 1.018, P = 0.025), BMI (OR = 1.157, P < 0.001), smoking (OR = 4.554, P < 0.001), drinking (OR = 2.128, P < 0.016), hypertension (OR = 4.453, P < 0.001), and diabetes mellitus (OR = 8.776, P < 0.001) as clinical risk factors for CAD development. Among blood lipids, LDLC-3 (OR = 1.565, P < 0.001), LDLC-4 (OR = 3.566, P < 0.001), and LDLC-5 (OR = 6.866, P < 0.001) were identified as risk factors. To predict CAD risk, six machine learning models were constructed. The XGboost model showed the highest AUC score (0.945121), which could distinguish CAD patients from the controls with a high accuracy. LDLC-4 played the most important role in model construction.Conclusions: The established models showed good performance for CAD risk prediction, which can help screen high-risk CAD patients in asymptomatic population, so that further examination and prevention treatment might be taken before any sudden or serious event.

scholarly journals ADVERSE EFFECT OF INSOMNIA ON BLOOD LIPIDS IN PATIENTS WITH HYPERTENSION

2021 ◽  
pp. 33-40
Author(s):  
Anna Isayeva ◽  
Olena Buriakovska ◽  
Oleksander Martynenko ◽  
Sergiy Ostropolets
Keyword(s):  
Statistical Model ◽  
Total Cholesterol ◽  
Blood Lipids ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol ◽  
Model Accuracy ◽  
Patient Interview

Insomnia is a risk factor for the development of arterial hypertension, obesity, type 2 diabetes mellitus, cardiac rhythm disorders, and myocardial infarction. At the same time, insomnia is one of the most frequent non-cardiac complaints in patients with cardiovascular diseases. The aim of the work was to study the presence of possible relationships between insomnia and the level of blood lipids. Materials and methods. A cross-sectional study involving 118 patients was conducted. Criteria for inclusion in the study were age over 45 years, the presence of essential hypertension. All patients included the study underwent sampling of 7 ml of venous blood in the morning under fasting conditions. The content of total cholesterol (TCS), triglycerides (TG), high-density lipoprotein cholesterol (HDL CS) was determined by enzymatic method on a biochemical analyser Humalyzer 2000. The patient was interviewed by a pre-trained study doctor.  Results. In the article a relationship between total cholesterol, low-density lipoprotein cholesterol and the presence of insomnia has been established and proved by statistical model. The overall statistical model accuracy is 89.6 % and statistical significance p < 0.005. Accuracy of insomnia prediction is 85.7 % by level of total cholesterol (TCS) and patient interview data. Only one model with best accuracy exists and it was estimated at the article. Conclusions. Relationship between total cholesterol, low-density lipoprotein cholesterol and the presence of insomnia has been established and proved by statistical model. Accuracy of insomnia prediction is 85.7 % by level of total cholesterol (TCS) and patient interview data.

Effect of Honey & Olive Oil Supplemented Bio-Yoghurt Feeding on Lipid Profile, Blood Glucose and Hematological Parameters in Rats

2019 ◽  
Vol 15 (2) ◽  
pp. 140-147
Author(s):  
Magdy M. Ismail ◽  
El-Tahra M. Ammar ◽  
Abd El-Wahab E. Khalil ◽  
Mohamed Z. Eid
Keyword(s):  
Body Weight ◽  
Weight Gain ◽  
Blood Glucose ◽  
Olive Oil ◽  
Body Weight Gain ◽  
Low Density Lipoprotein ◽  
Density Lipoprotein ◽  
Lipoprotein Cholesterol ◽  
Low Density ◽  
Low Density Lipoprotein Cholesterol

Background and Objective: Yoghurt, especially bio-yoghurt has long been recognized as a product with many health benefits for consumers. Also, honey and olive oil have considerable nutritional and health effects. So, the effect of administration of yoghurt made using ABT culture and fortified with honey (2 and 6%), olive oil (1 and 4%) or honey + olive oil (2+1 and 6+4% respectively) on some biological and hematological properties of rats was investigated.Methods:The body weight gain, serum lipid level, blood glucose level, serum creatinine level, Glutamic Oxaloacetic Transaminase (GOT) activity, Glutamic Pyruvic Transaminase (GPT) activity, leukocytes and lymphocytes counts of rats were evaluated.Results:Blending of bio-yoghurt with rats&#039; diet improved body weight gain. Concentrations of Total plasma Cholesterol (TC), High-Density Lipoprotein cholesterol (HDL), Low-Density Lipoprotein cholesterol (LDL), Very Low-Density Lipoprotein cholesterol (VLDL) and Triglycerides (TG) significantly lowered in plasma of rats fed bio-yoghurt. Levels of TC, LDL, VLDL, and TG also decreased in rat groups feed bio-yoghurt supplemented with honey and olive oil. LDL concentrations were reduced by 10.32, 18.51, 34.17, 22.48, 43.30% in plasma of rats fed classic starter yoghurt, ABT yoghurt, ABT yoghurt contained 6% honey, ABT yoghurt contained 4% olive oil and ABT yoghurt contained 6% honey + 4% olive oil respectively. The blood glucose, serum creatinine, GOT and GPT values of rats decreased while white blood cells and lymphocytes counts increased by feeding bioyoghurt contained honey and olive oil.Conclusion:The findings enhanced the multiple therapeutic effects of bio-yoghurt supplemented with honey and olive oil.

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