Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
Background And Purpose: Framingham 10 year risk score traditionally used to diagnose future risk. There is need to find simple and powerful marker for future risks of coronary artery disease. Framingham 10 year risk score take many variables together. Recently, abnormal glucose metabolism is a major determinant of CHD. Although the relationship between cardiovascular disease (CHD) and glycaemia is believed to represent a continuum without a threshold effect, as it is a more stable, accurate parameter of glucose homeostasis. Therefore, the aim of the current study was to establish association between high normal HbA1c and Framingham 10 year risk score for coronary artery diseases in non-diabetics.
Methods: A total 100 patients of coronary artery disease, aged 18-80 years were enrolled. Complete physical and systemic examination including vitals was performed. Framingham's 10 year risk score, Height, Weight, Hip Circumference, Waist Circumference, and Waist-Hip Ratio and BMI are calculated. Investigated for HbA1c, HsCRP and other routine investigations needed to diagnose coronary artery disease. Chi square test was applied to detect association between HsCRP and High HbA1c and Correlation Coefficient(r) was calculated to study linear relationship.
Results: The Chi square Test significant meaning that higher value of HsCRP associated with high level of HbA1c (p=0.04). The Correlation Coefficient(r) is -0.02 so there were no linear relationship between HbA1c and Framingham risk score. In our study average Framingham risk score was 9.72 while average age of patient was 53.7 years. There were linear relationship between patient's age and Framingham 10 year risk score (r= 0.60).
Conclusions: Coronary artery disease patients had high prevalence of High HsCRP. there was significant association between glycosylated haemoglobin and High HsCRP (P=0.04). We find association between high normal HbA1c and Framingham risk score in non-diabetic patient. But, There is no any linear correlation between high normal HbA1c and Framingham 10 risk score (r=0.02). We find out that Framingham 10 year risk score has linear relationship with patient's age and sex. It implies that coronary artery disease calculated by using Framingham 10 year risk score increases with increase in age. But Glycosylated Haemoglobin predicts coronary artery disease risk independence of patient's age. It predicts low risk in young female patients compare to young male patient in our study. Glycosylated haemoglobin is independent of age and sex of patient. So Glycosylated haemoglobin is good marker for coronary artery disease.
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