This study was conducted from Agustus 2016 to November 2016 , doing in Haji Adam Malik Medan hospital. This research observational analytic with Cross Sectionaldesign .The subject in this research with consecutive sampling, method.The researcher get 96 patients suitable with inclusion and exlucion criterias. The datas were get from medical record Haji Adam Malik hospital Medan. Inclusion criterias: patients with medical record with coronaryheartdisease at 2015 and with cholesterol total levels, cholesterol LDL, cholesterol HDL, and trigliserida data completely from result laboratorium test at coronaryheartdisease diagnosis , and patients with medical record incompletely rekam were exclusion criterias.
Still in relation to the correlation between CRP and the extent of the current coronary lesion, scoring using scoring systems to determine extent, vessel, and stenosis scores was performed , with the goal of achieving more accurate results, since coronary angiography results are measured quantitatively in accordance with calculations of each scoring system. Nevertheless, no significant correlation was found between the scores and high sensitivity C-reactive protein. Such finding is in line with results from previous researchers such as Auer J et al, who also studied the correlation between CRP levels and the manifestation, extent, and severity of coronaryheartdisease, evaluated based on coronary angiography. The researchers state that CRP level only demonstrates the presence or absence of atherosclerosis, but is not correlated with the severity or extent of the coronaryheartdisease itself. 12
Platelet aggregation plays an important role in atherosclerosis process in CoronaryHeartDisease (CHD) patients. Antiplatelet acts to prevent platelet aggregation and thrombus subsequently. Thrombus will block artery coronaries. Antiplatelet responsiveness can be seen by aggregation platelet profile. Based on the background, the aim of this research was to review platelet aggregation and cardiovascular event profile in CHD patients with dual antiplatelet. Prospective study was used in this study. CHD patients with dual antiplatelet therapy, willing to follow this research, and compliance with therapy were recruited into this study. Blood samples from patients were collected for platelet aggregation test. Platelet aggregation was analyzed by Light Aggregometry which used three platelet inducer (ADP, Collagen, Epinephrine). Cardiovascular event was defined by ischemic attack that CHD patients got in 3 months. 12 patients were recruited for this research. From the 12 patients, 5 patients occured ischemic attack within follow up. Platelet aggregation for that 5 patients which had ischemic attack, was normal and under normal platelet aggregation. Platelet activation is contributor subsequent atherothrombosis in patients with high inflammatory regulations in artery wall and systemic circulation. Platelet aggregation profile can be reflected as antiplatelet activity. Statistical analysis was done for aggregation profile and cardiovascular event. P- values > 0.05 which means there’s no correlation between platelet aggr egation and cardiovascular event. Platelet aggregation in this research showed in normal and under normal function. Antiplatelet concentration should be measured for filling the gap between aggregation profile and cardiovascular event.
Atherosclerosis is a process underlies the occurrence of various diseases that have an increasing prevalence from year to year, such as coronaryheartdisease and stroke. Atherosclerosis is based on disruption of the balance that called homeostasis in endothelial cells that was de ﬁ ned as endothelial dysfunction. Endothel of blood vessels is a major regulator for vascular homeostasis in the artery. Endothelial layer has the ability to maintain a balance between vasodilation and vasoconstriction of blood vessels, prevent and stimulate proliferation and migration of smooth muscle cells, thrombogenesis and ﬁ brinolysis. Mechanical and chemical stressors can disrupt the balance caused endothelial dysfunction that can initiate the process of atherosclerosis such as an increase in endothelial permeability, platelet aggregation, leukocyte adhesion, and release
The process of examination of the diagnosis of coronaryheartdisease will generate clinical data with many attributes. The number of attributes may cause mutual contradictions between attributes, which can degrade the system performance diagnosis. This study proposes a model for a diagnosis system consisting of a combination of process, resample, removal of duplicate data, dimensional reduction and data mining techniques. Dimensional reduction techniques used are feature selection type filtering with an Information Gain (IG) algorithm. Used data mining techniques involve the classification, the algorithm k-NN, Support Vector Machine, C4.5 and multilayer perceptron (MLP). System performance is measured with a parameter sensitivity, specificity, accuracy, and Area Under the Curve (AUC). The test results indicate that the attribute generated by using information gain and the best performance is chest pain type (cp), scintigraphy (thal) and flouroscopy (ca). The performance result are for sensitivity 86.14%, specificity 89.04%, AUC 86.9% and accuracy 87.36%. The performance produced by the system is included in good categories.
Unhealthy lifestyle choices, such as smoking, lack of activity, stress, and so on, can cause sev- eral types of degenerative diseases. In the last few years, non-transmitted diseases have domi- nated as the main cause of death globally . Non-transmitted diseases have increased signifi- cantly in developing countries, which have de- mographic transition and lifestyle changes in their society . The number of deaths caused by CVD, such as coronaryheartdisease (CHD), stroke and other rheumatic heart diseases, is increasing globally. The World Health Organiza- tion predicts that around 20 million deaths will have been caused by CVD in 2015. This accounts for 30% of all deaths in the world . It is pre- dicted that by the year 2030, non-transmitted diseases will account for more than three- quarters of all deaths worldwide. The dominant cause of death in low-income countries is CVD. The case numbers are higher than those of transmitted diseases (including HIV/AIDS, tuber- culosis, and malaria), antenatal and prenatal conditions, and nutrient disturbance .
Atherosclerosis is still the chief cause of morbidity and mortality in developed nations. Even though in developed nations the modification of risk factors is able to reduce the prevalence rate of atherosclerosis, such reduction is starting to slow down. Such condition has stimulated researchers to identify environmental exposure, including infection, that can influence the process of atherosclerosis. This cross sectional study was conducted from March to August 1998, on 122 patients that clinically demonstrate coronaryheartdisease and have underwent cardiac catheterization, 92 males and 30 females with an average age of 55 years. Patients undergo clinical and laboratory evaluation (blood glucose, cholesterol, triglyceride, and antibody for C.pneumoniae. Cytomegalovirus, and H.pylori). We found a significant difference in cholesterol, triglyceride, and HDL levels in those with coronary stenosis and those without. However, we did not find a significant difference in the levels of C.pneumoniae, Cytomegalovirus, and H.pylori antibodies. This study is unable to conclude the influence of these antibodies on atherosclerosis, since in the non-stenosis group, we cannot eliminate the possibility of atherosclerosis, since the average age of study subject is 55 years. Studies on the interaction between infection and traditional risk factors as well as gender and nutrition is needed to find a clear answer of the influence of infection in atherosclerosis. (Med J Indones 2002; 11: 211-4)
Coronaryheartdisease (CHD) due to atherosclerosis is a multifactorial process with multiple interdependent factors. At present time, atherosclerosis is considered to be an inflammatory process. It has been proven that inflammation plays a mayor role in the initiation, progression as well as the destabilitation of the atherosclerosis plaque. High sensitivity C-reactive protein (hs-CRP) is one of the most important inflammatory marker in CHD and directly related to the extent and severity of atherosclerosis, extent of myocardial ischemia and myocardial necrosis. The purpose of this study is to determine hs-CRP levels in patients with acute coronary syndrome (ACS), chronic CHD and non CHD. And, to determine the correlation between hs-CRP levels and CKMB enzyme level in patients with acute myocardial infarction (AMI). This is a descriptive observational analytic study with cross sectional design. hs-CRP levels were measured by using chemiluminescent method on 21 ACS patients, 20 chronic CHD patients and 20 non CHD patients. The mean hs- CRP level in ACS, chronic CHD and non CHD patients were respectively 8.40 (SD 5.53) mg/l, 2.81 (SD 2.09) mg/l and 1.07 (SD 0.81) mg/l. A statistically significant difference in hs-CRP level was found between ACS, chronic CHD and non CHD (p = 0.000 ). A positive correlation was found between hs-CRP level and CKMB enzyme level in AMI patients (p = 0.004). In conclusion hs-CRP level is consistently higher in patients with ACS compared to patients with chronic CHD and non CHD. A positive correlation was found between the increased level of hs-CRP and CKMB enzyme level. (Med J Indones 2004; 13: 102-6)
CoronaryHeartDisease (CHD) has affected multidimensional aspects of human live nowadays. Yet, quality of life and factors associated with quality of life among people who live with heartdisease has not been explored in Indonesia. This study aimed to identify factors influenced the quality of life among people with CHD received outpatient services. Those factors are gender, income, revascularization, cardiac rehabilitation, anxiety, depression and spiritual well- being. Zung Self-rating Anxiety Scale was used to measure anxiety where depression level measured using Beck Depression Inventory II. Spirituality index was used to measure spiritual well-being. The quality of life level was measured using the Seattle Angina Questionnaire. This study used quantitative descriptive with multivariate analysis using logistic regression. 100 respondents were randomly selected from the Cardiac Outpatient Unit. Findings indicated factors influenced the quality of life of CHD patients using a significance of ƿ-value < 0.005 were: anxiety (ƿ=0,002, OR = 4,736, 95% CI, 1,749 – 12,827); depression (ƿ=0,003; OR=5,450, 95% CI, 1,794 – 16,562); and revascularizations (ƿ=0,033; OR=3,232, 95% CI, 1,096 – 9,528). Depression was considered as the most significant factor; therefore, managing depression is a priority in the discharge planning or cardiac rehabilitation programme.
CoronaryHeartDisease and Five Faktor Model of Personality: A Statiscal Assessment of the link. PJC Vol 24,July-December 2013 https://www.academia.edu/9467402/Coronary_Heart_Disease_and_Five_F aktor_Model_of_Personality_A_Statistical_Assessment_of_the_Link. [Accessed 4 April 2015]
Krämer, H. U., Raum, E., Rüter, G., Schöttker, B., Rothenbacher, D., Rosemann, T., et al. 2012. Gender Disparities in Diabetes and CoronaryHeartDisease Medication among Patients with Type 2 Diabetes: Results from the DIANA study. Cardiovasc Diabetol. 11:88.
Wellons, M., Ouyang, P., Schreiner, P. J., Herrington, D. M., Vaidya, D.. 2012. Early Menopause Predicts Future CoronaryHeartDisease and Stroke: The Multi-Ethnic Study of Atherosclerosis (MESA). Menopause. 19(10):1081- 1087.
50. Ito H, Abe M, Mifune M, Oshikiri K, Antoku S, Takeuchi Y, et al. Hyperuricemia Is Independently Associated with CoronaryHeartDisease and Renal Dysfunction in patients with Type 2 Diabetes MellitusTogane. Plos One. 2011;6(11):e27817-24.
rvalue and rtable. In our case, all rvalue is greater than rtable (0,361). For reliability test, we employ Cronbach Alpha test. The result shows that our data is reliable with the value of test greater than 0.517. The BN Model with CPT inside can be seen in Figure 6. We also run an example of using BN Model to predict the probability of CVD that a person might have. Figure 7 depicts the result of BN Model running. Given someone with number of meal less than three times, active smoker, sleeping duration less than 6 hours per day, and age between 30-60 years old will, she/he have more opportunity to gain coronaryheartdisease with the probability of 52,2%.
46. Wheeler JG, Juzwishin KD, Eiriksdottir G, Gudnason V, Danesh J, Wheeler JG, et al. Serum uric acid and coronaryheartdisease in 9,458 incident cases and 155,084 controls: prospective study and meta-analysis. PLoS Medicine / Public Library of Science. 2005;2(3):e76.