Chance Of Coronary Heart Disease Research Articles

Hyperlipidemia Condition and Novel-Drug Therapies: A Overall Study

Hyperlipidaemia is an condition that increases the chance of coronary heart disease (CHD) and atherosclerotic disease (ASHD) in blood vessels. Hyperlipidaemia occurs in response to smoking, obesity, sedentary lifestyle, and other risk factors to extend CHD. Cardiovascular disease (CVD) is the reason for death.
 Hyperlipidaemia is divided into two broad classifications: Primary (familial) and Secondary (acquired).
 Primary hyperlipidemia has been generated by hereditary defects and climatic factors or by undisclosed mechanisms. Secondary hyperlipidemia concern to the metabolic disorders linked with the diabetes mellitus, liver complication, thyroid, and kidney complications. Hyperlipidemia also refers to as elevated levels of lipids within the blood. Circulating lipid are carried in lipoproteins that transport the lipids to varied tissues for energy use, lipid deposition, hormone production, and steroid formation. The lipoprotein consists of esterified and unesterified cholesterol, triglycerides, phospholipids, and protein. The general public who have hyperlipidemia experience no symptoms. Hyperlipidemia is most oftenly correlated with high-fat diets, a stationary lifestyle, obesity and diabetes mellitus. Four different classes of cholesterol-lowering drugs namely, statins, niacin, resins, and fibrates are available to treat hyperlipidemia; however, statins are now considered to be the first line therapy. The preventable causes of hyperlipidemia can include: Smoking, Being overweight, Physical inactivity, Steroid use, Alcohol consumption & Diet high in saturated fat, & cholesterol such as cheese, meat, fried & processed foods and egg yolk. The treatment of hyperlipidemia includes statins, bile acid sequestrants, fibric acids, niacin, and cholesterol absorption inhibitors.
 There are some of the novel drugs which are selected for the treatment of hyperlipidemia which includes: Evolocumab, Alirocumab, Bempedoic acid, Lomitapide, Evinacumab, and Sebelipase alfa.

Diagnosis of coronary artery disease using an efficient hash table based closed frequent itemsets mining.

This paper proposes an efficient hash table based closed frequent itemsets (HCFI) mining algorithm to envisage coronary artery disease early. HCFI algorithm generates closed frequent itemsets efficiently by performing intersection operation on transaction id's of itemset without considering the name of item/itemset. The employed hash table reduces search efficiency to O(1) or constant time. HCFI algorithm is applied on the UCI (University of California, Irvine) Cleveland dataset, a biological database of cardiovascular disease to generate closed frequent itemsets on the dataset. The findings of HCFI algorithm are (1) it determines a set of distinguished features to differentiate a 'healthy' and a 'sick' class. The features such as heart status being normal, oldpeak being less than or equal to 1.2, slope being up, number of vessels colored being zero, absence of exercise-induced angina, maximum heart rate achieved between 151 and 180 are referred as 'healthy' class. The features like chest pain are being asymptomatic, heart-status being reversible defect, slope being flat, and presence of exercise-induced-angina and serum cholesterol being greater than 240 indicate a presumption of heart disease to both genders. (2) It predicts that females have less chance of coronary heart disease than males. This algorithm is also compared with two other state-of-the-art-algorithms 'NAFCP' (N-list based algorithm for mining frequent closed patterns) and 'PredictiveApriori' to show the effectiveness of the proposed algorithm.

Association rule mining to detect factors which contribute to heart disease in males and females

This paper investigates the sick and healthy factors which contribute to heart disease for males and females. Association rule mining, a computational intelligence approach, is used to identify these factors and the UCI Cleveland dataset, a biological database, is considered along with the three rule generation algorithms – Apriori, Predictive Apriori and Tertius. Analyzing the information available on sick and healthy individuals and taking confidence as an indicator, females are seen to have less chance of coronary heart disease then males. Also, the attributes indicating healthy and sick conditions were identified. It is seen that factors such as chest pain being asymptomatic and the presence of exercise-induced angina indicate the likely existence of heart disease for both men and women. However, resting ECG being either normal or hyper and slope being flat are potential high risk factors for women only. For men, on the other hand, only a single rule expressing resting ECG being hyper was shown to be a significant factor. This means, for women, resting ECG status is a key distinct factor for heart disease prediction. Comparing the healthy status of men and women, slope being up, number of coloured vessels being zero, and oldpeak being less than or equal to 0.56 indicate a healthy status for both genders.

Accelerating the return to work (RTW) chances of coronary heart disease (CHD) patients: part 1 - development and validation of a training programme

Purpose : Conventional phase II cardiac rehabilitation (CR) programmes have not resulted in an improvement in returning coronary heart disease (CHD) patients to work in over 35 years. This 4 year field-initiated research, sponsored by the National Institute on Disability and Rehabilitation Research, compares conventional CR programmes with a low-intensity CR programme that simulates elements of work (job-simulated CR programme) in terms of return to work (RTW) and physiological conditioning. The effect of training on physical capabilities of patients participating in the job-simulated CR programme was also of equal interest. Method : Thirty patients (15 bypass and 15 angioplasty; 15 males and 15 females) participated in a conventional CR programme (control group). The job-simulated CR programme included 15 male and 2 female bypass and angioplasty patients (experimental group). Patients in the control group underwent regular aerobic exercise training (treadmill and bicycle). Experimental group patients participated in a series of low-intensity exercises such as progressive time exercises, flexibility exercises, and dexterity exercises. Results : All patients participating in the low-intensity job-simulated CR programme returned to the same job they held at the onset of myocardial infarction (MI). In contrast, only 60% of the control group patients returned to work; at least one-third of these did not go back to the same job they held at the onset of MI. Patients in both groups achieved the same level of physiological conditioning. The physical functional capabilities of the experimental group patients improved significantly throughout training. Conclusion : The results of this field-study lead to the conclusion that a low-intensity phase II cardiac rehabilitation programme that simulates elements of work may be far superior to conventional endurance exercise-based cardiac rehabilitation programmes in terms of returning patients to work. Such a programme also strengthens patients, improving their physical capabilities, without compromising their physiological conditioning.

Accelerating the return to work (RTW) chances of coronary heart disease (CHD) patients: part 2 - development and validation of a vocational rehabilitation programme

Purpose : This paper, part 2 of the two-part paper, reviews return-to-work outcomes among individuals with coronary heart disease, who participated in an experimental field study reported in part 1 of the two-part paper. Study results reflected specific job stressors associated with physical and mental demands among various job tasks. Trends suggest that personality characteristics commonly associated with 'type a' personalities and cardiac disease risk factors may also serve as positive forces that influence return-to-work activity. Methods/Results : Relatively high levels of job satisfaction were reported among most experimental subjects. Despite having high return-to-work expectations, these patients lacked specific strategies and resources to facilitate a concrete return to work action plan. Conclusion : The researchers conclude that it is essential for cardiac rehabilitation staff, when creating a return to work transition for their cardiac patients, to explore the physical and psychosocial dimensions of jobs, the receptivity of the employer, and the accommodations needed to promote a safe and timely return to work.

Functional and Organoleptic Evaluation of Low Cholesterol Egg Blends

The advice of the A.M.A. and many doctors, in order to decrease the chances of coronary heart disease and atherosclerosis, is to reduce intake of dietary cholesterol. Inasmuch as egg yolk is one of the primary sources, much research has been done to reduce cholesterol levels in egg yolk by alterations in the diet of the laying hen or by breeding, and to eliminate it by reformulating the egg yolk. It would seem that a much simpler approach to reduction of cholesterol in an egg product would be to use less than natural proportions of egg yolk to egg white. This study is an evaluation of some functional properties and organoleptic characteristics of blends of eggs containing down to the equivalent of one tenth the normal amount of egg yolk.Results show that blends of eggs containing as low as one fourth the normal amount of egg yolk, with protein and lipid raised to the content of normal egg by the addition of dried egg albumen and corn oil, respectively, made scrambled eggs, custards and cakes made from a cake mix that were as acceptable as those made from whole egg. Lower proportions of egg yolk in the blends produced less acceptable products. Whole egg sponge cakes were unsuccessful, showing drastic decreases in volume (as measured by rapeseed displacement) as the proportion of egg yolk was decreased.