Correlation of Red Cell Distribution Width with Severity of Cardiovascular Diseases
DOI:
https://doi.org/10.48036/apims.v17i1.421Keywords:
Cardiovascular disease, RDW CVAbstract
Objectives: To determine the correlation of red cell distribution width (RDW) with severity of cardiovascular diseases.
Methodology: This study was conducted at the Department of Pathology, Aziz Fatima Medical and Dental College, Faisalabad, over a period of one year from October 2019 to September 2020. A total of 150 participants were included in the study consisting of 75 patients of cardiovascular disease in case group and 75 participants without any cardiovascular disease in control group. All patients in the study underwent trans radial or transfemoral rout coronary angiography using 5F optitorque catheter for trans radial rout or 6F Judkins catheters for transfemoral rout. All the patient had angiography within 24 hours of admission in the hospital.
Results: The patients who were diagnosed with Coronary artery Disease (CAD) had significantly higher mean age (51.45 ± 11.29 years) as compared (44.56 ± 9.45 years) to group B without out CAD. There were 53 (70.67%) males in group A, and 42 (56%) males in group B. The rate of hypertension (61.33%) was significantly higher among patient who diagnosed with CAD. The mean value of RDW CV was found significantly (p-value < 0.05) raised among patients of CAD (14.36 ± 1.02vs. 13.52 ± 0.89). The RDW SD was also significantly higher in group A (43.67 ± 4.39 vs. 41.65 ± 3.46, p-value = 0.002) in comparison to group B. Age and male gender were found to be a significant (p-value < 0.05) contributor for CVD with an odds ratio of 1.18 and 3 respectively.
Conclusion: RDW is an effective easily available marker for the assessment of severity of coronary artery disease and helps in risk stratification of CAD patients for further events.
Downloads
Published
Issue
Section
License
Copyright (c) 2021 Muhammad Javaid Iqbal, Muhammad Usman, Iram Asrar, Nisar Khan Sajid , Muhammad Kashif Baig , Muhammad Munaim Tahir
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.