@article{Shabir_Haq_Iltaf_Shabir_Shehram_Ahmed_2022, title={Correlation of Red Blood Cell Distribution Width with The Severity of Coronary Artery Disease : Red Blood Cell Distribution Width With The Severity Of Coronary Artery Disease}, volume={5}, url={https://www.pakistanbmj.com/journal/index.php/pbmj/article/view/420}, DOI={10.54393/pbmj.v5i4.420}, abstractNote={<p>Atherosclerosis causing occlusion of coronary vessels by building up of plaque leading to narrowing of vessels supplying heart and causing coronary artery disease, which is the leading and common cause of mortality around the globe. <strong>Objective:   </strong>To find the correlation of Red Cell Distribution Width (RDW) and severity of Coronary Artery Disease (CAD) lesions <strong>Methods: </strong> A number of   280 patients in total, admitted to cardiology department who presented with chest pain and diagnosed as angina, positive treadmill test and who underwent angiography and were found to have CAD, were enrolled in the study over a period of one year. Modified Gensini score (MGS) is used for assessment of severity of CAD. Each patient was assessed in relation to severity of CAD using MGS scoring system. <strong>Results: </strong>Out of 280 patients, 218 were assigned to Group A and 70 were assigned to Group B. Mean age of presentation were (52.34± 13.90 vs 50.8± 11.63 years). Male subjects were predominant overall with ratio of 2.63:1. RDW was assessed and was seen to be significantly elevated in Group A in comparison to Group B (14.98± 1.59 vs 13.82 ± 0.91p= <0.0001). After assessing MGS in relation to severity of CAD, significant correlation was observed. RDW was found to be increasing as MGS score increased (14.46± 0.65 vs 14.98± 1.00 vs 15.02± 0.88, p= <0.0001) <strong>Conclusions: </strong>It was concluded that RDW is a parameter which is cost effective, very easy, readily and urgently available for the assessment and stratification of patients presenting with coronary artery disease.</p>}, number={4}, journal={Pakistan BioMedical Journal}, author={Shabir, Mohsin and Haq , Ikram ul and Iltaf, Muhammad Kashif and Shabir, Ahsan and Shehram, Muhammad and Ahmed, Naseer}, year={2022}, month={Apr.}, pages={252–256} }