ASSESSMENT OF 10-YEAR RISK OF DEVELOPING A MAJOR CARDIOVASCULAR EVENT IN PATIENTS ATTENDING A HOSPITAL FOR THE TREATMENT OF OTHER DISORDERS

  • M. MAHIMA SWAROOPA Lecturer, Department of Pharmacy Practice, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada 520010, Andhra Pradesh, India
  • REDDY PRAVEEN Pharm. D Intern, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada 520010, Andhra Pradesh, India
  • S. K. LAL SAHEB Pharm. D Intern, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada 520010, Andhra Pradesh, India
  • S. K. SAI RINNISHA Pharm. D Intern, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada 520010, Andhra Pradesh, India
  • P. SARANYA Lecturer, Department of Pharmacy Practice, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada 520010, Andhra Pradesh, India
  • D. AAKASH TEJA Assisstant Professor, Department of Cardiology, Dr. Pinnamaneni Siddhartha Institute of Medical Sciences and Research Foundation, Gannavaram, Vijayawada, Andhra Pradesh, India
  • G. VIJAYA KUMAR Professor, HOD, Department of Pharmacy Practice, KVSR Siddhartha College of Pharmaceutical Sciences, Vijayawada 520010, Andhra Pradesh, India

Abstract

Objective: To assess the individual’s predicted risk of developing a CVD event in 10 y using risk scores among persons with other disorders/diseases.


Methods: This is a cross-sectional observational study conducted for a period of 6 mo among 283 subjects. Total risk was estimated individually by using Framingham Risk Scoring Algorithm and ASCVD risk estimator.


Results: According to Framingham Risk score the prevalence of low risk (<10%) identified as 67.84% (192), followed by intermediate risk (10%-19%), 19.08% (54), and high risk (≥20%) 13.07% (37). By using ASCVD Risk estimator, risk has reported in our study population was low risk (<5%) is 48.76% (138), borderline risk (5-7.4%) is 13.07% (37), intermediate risk (7.5-19.9%) is about 25.09% (71), high risk (>20%) is about 13.07% (37).


Conclusion: In this study burden of CVD risk was relatively low, which was estimated by both the Framingham scale and ASCVD Risk estimator. Risk scoring of individuals helps us to identify the patients at high risk of CV diseases and also helps in providing management strategies.

Keywords: Cardiovascular diseases, Risk factors, Risk estimation, Framingham Risk Scoring Algorithm, ASCVD risk estimator

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SWAROOPA, M. M., R. PRAVEEN, S. K. L. SAHEB, S. K. S. RINNISHA, P. SARANYA, D. A. TEJA, and G. V. KUMAR. “ASSESSMENT OF 10-YEAR RISK OF DEVELOPING A MAJOR CARDIOVASCULAR EVENT IN PATIENTS ATTENDING A HOSPITAL FOR THE TREATMENT OF OTHER DISORDERS”. International Journal of Pharmacy and Pharmaceutical Sciences, Vol. 12, no. 7, May 2020, pp. 74-78, doi:10.22159/ijpps.2020v12i7.37988.
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