The Comparability of Lipid-based and Body Mass Index-based Cardiovascular Disease Risk Scores: Using the Rwanda 2012-2013 Non-communicable Diseases Risk Factors Survey Data

  • Jean Berchmans Niyibizi Single Project Implementation Unit, University of Rwanda, Kicukiro, Kigali, Rwanda
  • Okop Kufre Joseph Chronic Diseases Initiative for Africa (CDIA), University of Cape Town, Rondebosch, Western Cape, South Africa
  • Levitt Naomi Chronic Diseases Initiative for Africa (CDIA), University of Cape Town, Rondebosch, Western Cape, South Africa
  • Stephen Rulisa School of Medicine and Pharmacy, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
  • Seleman Ntawuyirushintege Single Project Implementation Unit, University of Rwanda, Kicukiro, Kigali, Rwanda
  • David Tumusiime School of Health Sciences, College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda
  • Alypio Nyandwi Republic of Rwanda Ministry of Health, Kigali, Rwanda
  • Evariste Ntaganda Rwanda Biomedical Center, Kigali, Rwanda
  • Birhanu Ayele Division of Epidemiology and Biostatistics, Stellenbosch University, Stellenbosch, Western Cape, South Africa
  • Charlotte Bavuma Kigali University Teaching Hospital, Kigali, Rwanda
Keywords: Cardiovascular diseases, algorithms, Rwanda

Abstract

Background

In Rwanda, cardiovascular diseases (CVDs) ranked second of the most common cause of death in 2016.  CVD risk score tools have been recommended to identify people at high risk for management.

Objective

To assess the comparability of body mass index (BMI)-based and lipid-based CVD risk scores in Rwandan population.

Methods

Secondary analysis was conducted on 4185 study participants extracted from the dataset of Rwanda 2012-2013 non-communicable diseases risk factors survey. Individual CVD risk scores were calculated using both BMI-based and lipid-based algorithms, one at a time. Spearman rank’s coefficient and Cohen’s Kappa coefficient were used to compare the two tools.

Results

About 63.5% of participants were women. There was a significant positive correlation between BMI-based algorithm and lipid-based algorithm vis-à-vis a 10-year CVD risk prediction (Spearman rank correlation coefficients > 0.90, p<0.001) considering either men, women or overall study participants. There was a moderate agreement between BMI-based and lipid-based algorithms vis-à-vis CVD risk characterization, kappa = 0.52; p-value p<0.001 considering either overall study participants or men and kappa = 0.48; p-value p<0.001 considering women.

Conclusion

The findings from this study suggest the use of BMI-based algorithm, a cost effective tool compared to lipid-based tool, can be alternatively used in resource-limited settings. 

Rwanda J Med Health Sci 2021;4(1):166-184

Published
2021-04-08
Section
Articles

Journal Identifiers


eISSN: 2616-9827
print ISSN: 2616-9819