Cardiovascular Risk Profiling Using the Globorisk Calculator among Noncommunicable Disease Patients Attending Primary Health Centers of a Tertiary Care Teaching Hospital in South India: A Cross-Sectional Analytical Study

Sitanshu S Kar; Sivaranjini Kannusamy; Tanveer Rehman; Sharan Murali; Subitha Laxminarayanan; Jayaraman Balachander

doi:10.4103/ijcm.ijcm_300_22

Cardiovascular Risk Profiling Using the Globorisk Calculator among Noncommunicable Disease Patients Attending Primary Health Centers of a Tertiary Care Teaching Hospital in South India: A Cross-Sectional Analytical Study

Indian J Community Med. 2024 Mar-Apr;49(2):290-295. doi: 10.4103/ijcm.ijcm_300_22. Epub 2024 Mar 7.

Authors

Sitanshu S Kar¹, Sivaranjini Kannusamy¹, Tanveer Rehman², Sharan Murali¹, Subitha Laxminarayanan¹, Jayaraman Balachander³

Affiliations

¹ Department of Preventive and Social Medicine, PGIMER, Chandigarh, India.
² Department of Community Medicine and School of Public Health, PGIMER, Chandigarh, India.
³ NCD Consultant and Former Professor of Cardiology, Jawaharlal Institute of Postgraduate Medical Education and Research (JIPMER), Puducherry, India.

Abstract

Background: Cardiovascular diseases (CVDs) account for over three-quarters of all deaths taking place in developing nations.

Objective: The present study aims to stratify noncommunicable disease (NCD) patients using the Globorisk chart for predicting their 10-year risk of a major (fatal or nonfatal) CVD event and to estimate the level of agreement between this country-specific chart and the existing World Health Organization (WHO)/International Society of Hypertension (ISH) risk strata.

Methods: A record-based cross-sectional analytical study was conducted in 2018 among adults attending the NCD clinic of one rural and one urban primary health center in Puducherry. Laboratory and office risk calculators of the Globorisk chart were used to calculate the risk.

Results: The median age (interquartile range (IQR)) of the 760 study participants was 58 (50-65) years. When calculated using the Globorisk prediction chart, 22.1% (n = 168) of the participants had a <10% risk for any CVD event in the next 10 years, whereas the same risk was found in 71.1% (n = 540) by using the WHO/ISH risk chart. There was no agreement found between the two risk charts (k = 0.0174; P-value = 0.26).

Conclusion: The Globorisk chart was found to identify more patients as belonging to the higher risk category as compared to WHO/ISH charts.

Keywords: Cardiovascular diseases; Globorisk; noncommunicable diseases.