Prevalence of Conventional Risk Factors and Evaluation of Baseline Indices Among Young and Elderly Patients with Coronary Artery Disease

CALM1 rs3179089 polymorphism might contribute to coronary artery disease susceptibility in Chinese male: a case-control study

BACKGROUND

Calmodulin 1 (CALM1) mutations are involved in the development of coronary artery disease (CAD). However, the relationship of CALM1 rs3179089 polymorphism with CAD is unknown.

OBJECTIVE

This study aimed to identify the relationship of CALM1 rs3179089 polymorphism with CAD susceptibility, CALM1 expression, blood pressure, blood glucose, blood coagulation and serum lipid levels of CAD patients.

METHODS

550 CAD patients and 550 control subjects were genotyped for CALM1 using Sequenom MassARRAY technology. CALM1 expression level was measured by quantitative real time polymerase chain reaction (qRT-PCR).

RESULTS

CALM1 mRNA expression was higher in CAD patients than that in control subjects (P < 0.001). CAD patients with CC genotype had higher CALM1 mRNA expression level than control subjects with CC genotype (P = 0.006). Genotypic frequency of rs3179089 was different between male patients of CAD and control subjects (P = 0.045). Rs3179089 polymorphism was related to CAD risk of males in recessive model (P = 0.039). Moreover, rs3179089 polymorphism was associated with systolic blood pressure (SBP), diastolic blood pressure (DBP), fasting plasma glucose (FPG), and D-Dimer (D-D) level of patients with CAD in recessive model (P = 0.013 for SBP; P = 0.034 for DBP; P = 0.004 for FPG; P = 0.046 for D-D). In addition, rs3179089 polymorphism was correlated with low-density lipoprotein cholesterol (LDL-C) and total cholesterol (TC) serum levels of patients with CAD in both addictive (P = 0.025 for LDL-C; P = 0.001 for TC) and recessive models (P = 0.001 for LDL-C; P = 0.001 for TC).

CONCLUSION

CALM1 expression is associated with development of CAD. CALM1 rs3179089 polymorphism affects CAD susceptibility in males, and blood pressure, blood glucose, blood coagulation and serum lipid of CAD patients.

Prevalence of Cardiovascular Diseases Risk Factors among Jordanians

Background and aims

One of the most common causes of death worldwide is cardiovascular diseases (CVDs). This study evaluated the prevalence of CVDs risk factors (RFs) and their constellation electively among the Jordanian population and, assessing the most prevalent RF interplay with the rest of CVDs RFs as well as the impact of age and gender dimorphism on the frequencies of coexistence of multiple CVDs risk factors (RFs) among the Jordanian population.

Methods and results

In this observational multicenter study, a total of 1449 subjects were enrolled. The mean age (±SD) was 44.35 ± 14.46 years; 796 (54.9%) of them were females and 801 (55.28%) of the whole study pool had no family history of premature CVDs. Only 5.9% of the population did not have any of these RFs. The prevalence of CVDs MRFs within-affected subjects was as follows: there were 1081 (74.6%) subjects with overall dyslipidemia, 471 (32.51%) with obesity, 456 (31.47%) were smokers, and at the first diagnostic encounter 541 (37.47%) were with elevated blood pressure and, 310 (21.51%) were with elevated random blood sugar. The coexistence of ≥ two, ≥ three and, ≥ four RFs was observed in 75.7%, 44.4%, and 21.4% of the subjects, respectively. The constellation of multiple RFs was more frequent in men than that in women, where the presence of ≥ two RFs for men was at 86.18% vs. 67.09% for women. Similarly, the appearance of multiple RFs increases with age, starting from the existence of ≥ three, and four RFs respectively. Most notably the clustering of ≥ five RFs in the age group of 45–59 years showed the greatest frequency vs. any other age group.

Conclusions

CVDs risk factors (RFs) and clusters of them are extremely prevalent in the Jordanian population. Overall dyslipidemia is the most prevalent MRF and the most favors clustering with other CVDs RFs. Combined two RFs had the highest proportional frequency between all six RFs clusters. The constellation of at least two, three, and four CVDs RFs presented at almost three-fourth, half, and around one-fourth; respectively, Middle-aged males presented significantly higher rates of ≥ five RFs occurrences than females.

Identification of risk factors of acute coronary syndrome in young patients between 18-40 years of age at a teaching hospital

Objectives:

To identify the risk factors in acute coronary syndrome.

Methods:

It was a case series study, conducted in coronary care unit of Jinnah Hospital, Lahore from January to December 2018. Convenient sampling was used for patients’ selection. The serum cardiac enzymes level was measured, and serial ECG was done at admission and repeated if required. Blood samples were collected after an overnight fast of 14 hours and tests were done for total cholesterol and HDL cholesterol.

Results:

Out of 300 patients of acute coronary syndrome, 100 (33.33%) were female and 200 (66.67%) were males. Majority of patients 180 (60%) belonged to age group of 25-40 years. Out of 300 patients 94 (31.33%) had diabetes mellitus, while 139 (46.3%) were suffering from hypertension. Out of 290 patients 95 (32.7%) had family history of coronary artery disease. Out of 298 patients 125 (41.9%) were smokers.

Conclusion:

Acute coronary syndrome in age group of 18- 40 Years showed a male predominance with major modifiable risk factors; Hypertension followed by Diabetes mellitus, smoking and Dyslipidemia. Positive family history a non-modifiable risk factor in patients of ACS was also a common finding.

Association of smoking with coronary artery disease in Nepalese populations: a case control study

There are well-known traditional risk factors for coronary artery disease (CAD). Among them, smoking is one of the most prominent and modifiable risk factors. This study aims to determine the magnitude of smoking as a risk factor for CAD in the Nepalese population. A hospital-based age- and sex-matched case-control study was carried out with a total of 612 respondents. Bivariate analysis showed that the risk of developing CAD in ex-smokers and current smokers was higher (odds ratio (OR): 1.81 (confidence interval (CI): 1.21-2.7) and OR: 5.2 (CI: 3.4-7.97)), with p-values less than 0.004 and <0.00001, respectively, compared to the risk in never smokers. From stratified socio-demographic, cardio-metabolic, behavioural and psychosocial risk factor analysis, smoking was found to be associated with CAD in almost all subgroups. In the subsequent multivariate analysis, adjustment for socio-demographic, cardio-metabolic and psychosocial risk factors showed a steady increase in risk. However, further adjustment for behavioural risk factors (alcohol use and physical activity) showed that the risk was attenuated by 59% in current smokers. After adjusting for the covariates, current smokers and ex-smokers had an increased risk of CAD (OR: 6.64, 95% CI: 3.64-12.12, p < 0.00001; OR: 1.89, 95% CI: 1.08-3.31, p < 0.012, respectively) compared with non-smokers. In conclusion, smoking was found to increase the risk of CAD in the Nepalese population.