Comparative assessment of absolute cardiovascular disease risk characterization from non-laboratory-based risk assessment in South African populations
Autor: | Gina Joubert, Thomas A. Gaziano, Dorcas Rosaley Prakaschandra, Naomi S. Levitt, Ankur Pandya, Corinna M. Walsh, Krisela Steyn, Aletta E. Schutte, Annamarie Kruger, Ria Laubscher, Datshana P Naidoo, Ayesha A. Motala, W F Mollentze |
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Přispěvatelé: | 10062416 - Kruger, Annamarie, 10922180 - Schutte, Aletta Elisabeth, Department of Medicine, Faculty of Health Sciences |
Jazyk: | angličtina |
Rok vydání: | 2013 |
Předmět: |
Adult
Male Gerontology Cross-sectional study Population Disease Risk Assessment Spearman's rank correlation coefficient law.invention Cohort Studies South Africa Randomized controlled trial prevention law Humans Medicine cardiovascular diseases coronary heart disease education Aged Medicine(all) education.field_of_study Framingham Risk Score business.industry Prevention cholesterol General Medicine Middle Aged Cardiovascular disease stroke Stroke Coronary heart disease Cholesterol Cross-Sectional Studies Cardiovascular Diseases Population Surveillance Female business Risk assessment Research Article Follow-Up Studies Demography Cohort study |
Zdroj: | BMC Medicine |
ISSN: | 1741-7015 |
Popis: | Background: All rigorous primary cardiovascular disease (CVD) prevention guidelines recommend absolute CVD risk scores to identify high- and low-risk patients, but laboratory testing can be impractical in low- and middle-income countries. The purpose of this study was to compare the ranking performance of a simple, non-laboratory-based risk score to laboratory-based scores in various South African populations. Methods: We calculated and compared 10-year CVD (or coronary heart disease (CHD)) risk for 14,772 adults from thirteen cross-sectional South African populations (data collected from 1987 to 2009). Risk characterization performance for the non-laboratory-based score was assessed by comparing rankings of risk with six laboratory-based scores (three versions of Framingham risk, SCORE for high- and low-risk countries, and CUORE) using Spearman rank correlation and percent of population equivalently characterized as ‘high’ or ‘low’ risk. Total 10-year non-laboratory-based risk of CVD death was also calculated for a representative cross-section from the 1998 South African Demographic Health Survey (DHS, n = 9,379) to estimate the national burden of CVD mortality risk. Results: Spearman correlation coefficients for the non-laboratory-based score with the laboratory-based scores ranged from 0.88 to 0.986. Using conventional thresholds for CVD risk (10% to 20% 10-year CVD risk), 90% to 92% of men and 94% to 97% of women were equivalently characterized as ‘high’ or ‘low’ risk using the non-laboratory-based and Framingham (2008) CVD risk score. These results were robust across the six risk scores evaluated and the thirteen cross-sectional datasets, with few exceptions (lower agreement between the non-laboratory-based and Framingham (1991) CHD risk scores). Approximately 18% of adults in the DHS population were characterized as ‘high CVD risk’ (10-year CVD death risk >20%) using the non-laboratory-based score. Conclusions: We found a high level of correlation between a simple, non-laboratory-based CVD risk score and commonly-used laboratory-based risk scores. The burden of CVD mortality risk was high for men and women in South Africa. The policy and clinical implications are that fast, low-cost screening tools can lead to similar risk assessment results compared to time- and resource-intensive approaches. Until setting-specific cohort studies can derive and validate country-specific risk scores, non-laboratory-based CVD risk assessment could be an effective and efficient primary CVD screening approach in South Africa. http://www.biomedcentral.com/1741-7015/11/170 http://www.biomedcentral.com/bmcmed/ http://dx.doi.org/10.1186/1741-7015-11-170 |
Databáze: | OpenAIRE |
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