MI RISK ASSESSMENT IN PATIENTS USING THE EZ-CVD RISK ASSESSMENT TOOL

Authors

  • VENNELA C Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India. https://orcid.org/0000-0001-7078-1381
  • RAMESH ADEPU Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India. https://orcid.org/0000-0002-8697-7001
  • DHARMENDER D Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India. https://orcid.org/0000-0002-0004-2759
  • MOUNIKA D Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India.
  • VASANTHA G Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India.
  • SAI PAWAN AR Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India. https://orcid.org/0000-0002-8454-7489

DOI:

https://doi.org/10.22159/ajpcr.2022.v15i9.45041

Keywords:

Myocardial infarction, Self-reporting questionnaire, EZ CVD risk assessment tool

Abstract

Objective: The objective of this study was to assess the myocardial infarction (MI) risk chances among individuals in the productive age group using easy cardiovascular disease (EZ-CVD) risk assessment tool.

Methods: This is a prospective observational and interventional study conducted for 6 months after obtaining the Institutional Human Ethics Committee approval. EZ-CVD risk assessment tool was used in this study which includes six self-reporting questionaries’ such as age, gender, history of diabetes, history of smoking, history of hypertension, and family history of heart attack at the age of 60 or younger. A score of 6 or greater is considered as patients are at high risk of having MI.

Results: Sixty subjects were enrolled in to this study using the inclusion criteria. Among them, 36 were male and 24 individuals were female. Out of sixty recruited, 23 found having high risk for MI attack and 37 were at low risk of having chances of further MI.

Conclusion: The study conclude that EZ-CVD risk assessment tool was found useful to predict the occurrence of future MI.

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Author Biography

SAI PAWAN AR, Department of Pharmacy Practice, Vikas College of Pharmaceutical Sciences, Suryapet, Telangana, India.

Assistant Professor & Head,

Department of Pharmacy Practice

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Published

07-09-2022

How to Cite

C, V., R. ADEPU, D. D, M. D, V. G, and S. P. AR. “MI RISK ASSESSMENT IN PATIENTS USING THE EZ-CVD RISK ASSESSMENT TOOL”. Asian Journal of Pharmaceutical and Clinical Research, vol. 15, no. 9, Sept. 2022, pp. 123-5, doi:10.22159/ajpcr.2022.v15i9.45041.

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