Predictive strength of classical risk factors of coronary artery disease among pre-menopausal females in Punjab

Sohail Chand, Shahid Kamal

Abstract


This is a retrospective cross-sectional study with both descriptive and analytic components of Coronary Artery Disease. 198 female patients, who were presented first time for coronary angiography at the Punjab Institute of Cardiology, were included in the sample. The mean age was 50.69 + 9.09 among female patients. Logistic regression model was fitted to predict the Coronary Artery Disease with the help of significant risk factors and the odds ratios were computed for each significant risk factor. Diabetes Mellitus was the only significant risk factor among the pre-menopausal females. While Age, Diabetes Mellitus, and Lipids are resulted as significant risk factors associated with Coronary Artery Disease among post-menopausal female.

Full Text:

PDF


DOI: http://dx.doi.org/10.18187/pjsor.v3i1.73

Refbacks

  • There are currently no refbacks.




Copyright (c)

Title

Predictive strength of classical risk factors of coronary artery disease among pre-menopausal females in Punjab

Keywords

-

Description

This is a retrospective cross-sectional study with both descriptive and analytic components of Coronary Artery Disease. 198 female patients, who were presented first time for coronary angiography at the Punjab Institute of Cardiology, were included in the sample. The mean age was 50.69 + 9.09 among female patients. Logistic regression model was fitted to predict the Coronary Artery Disease with the help of significant risk factors and the odds ratios were computed for each significant risk factor. Diabetes Mellitus was the only significant risk factor among the pre-menopausal females. While Age, Diabetes Mellitus, and Lipids are resulted as significant risk factors associated with Coronary Artery Disease among post-menopausal female.

Date

2007-01-01

Identifier


Source

Pakistan Journal of Statistics and Operation Research; Vol 3. No. 1, Jan 2007



Print ISSN: 1816-2711 | Electronic ISSN: 2220-5810