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The Comparability of Lipid-based and Body Mass Index-based Cardiovascular Disease Risk Scores: Using the Rwanda
Jean Berchmans Niyibizi1, Kufre Joseph Okop2, Naomi Levitt2
1Single Project Implementation Unit, University of Rwanda, Kicukiro, Kigali, Rwanda.
Insights
Body mass index (BMI)-based cardiovascular disease (CVD) risk scores correlate well with lipid-based scores in Rwanda. BMI-based tools offer a cost-effective alternative for CVD risk assessment in resource-limited settings.
Area of Science:
- Cardiology
- Public Health
- Epidemiology
Background:
- Cardiovascular diseases (CVDs) are a leading cause of death in Rwanda, necessitating effective risk assessment tools.
- Cardiovascular disease risk score tools are recommended for identifying high-risk individuals for timely management.
Purpose of the Study:
- To evaluate the comparability of body mass index (BMI)-based and lipid-based cardiovascular disease (CVD) risk scores within the Rwandan population.
- To determine the utility of BMI-based risk scores as a cost-effective alternative in resource-limited settings.
Main Methods:
- Secondary analysis of 4185 participants from the 2012-2013 Rwanda non-communicable diseases risk factors survey.
- Calculation of individual CVD risk scores using both BMI-based and lipid-based algorithms.
- Statistical comparison using Spearman rank correlation and Cohen's Kappa coefficients.
Main Results:
- A significant positive correlation was observed between BMI-based and lipid-based algorithms for 10-year CVD risk prediction (Spearman's rho > 0.90, p<0.001).
- Moderate agreement was found between the two methods for CVD risk characterization (Kappa = 0.52 for overall/men, Kappa = 0.48 for women, p<0.001).
Conclusions:
- BMI-based CVD risk algorithms demonstrate strong correlation and moderate agreement with lipid-based methods in Rwanda.
- The BMI-based algorithm presents a viable, cost-effective alternative for CVD risk assessment in resource-limited healthcare environments.
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.
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