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Osei-Yeboah J, Moll van Charante EP, Kengne AP, Owusu-Dabo E, van den Born BJH, Galenkamp-van der Ploeg H, Chilunga FP, Boateng D, Motazedi E, Agyemang C. Cardiovascular Risk Estimation Based on Country-of-Birth- and Country-of-Residence-Specific Scores among Migrants in the Netherlands: The HELIUS Study. Int J Environ Res Public Health 2023; 20:5148. [PMID: 36982057 PMCID: PMC10048928 DOI: 10.3390/ijerph20065148] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/01/2023] [Revised: 03/09/2023] [Accepted: 03/10/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND Regional and country-specific cardiovascular risk algorithms have been developed to improve CVD risk prediction. But it is unclear whether migrants' country-of-residence or country-of-birth algorithms agree in stratifying the CVD risk of these populations. We evaluated the risk stratification by the different algorithms, by comparing migrant country-of-residence-specific scores to migrant country-of-birth-specific scores for ethnic minority populations in the Netherlands. METHOD data from the HELIUS study was used in estimating the CVD risk scores for participants using five laboratory-based (Framingham, Globorisk, Pool Cohort Equation II, SCORE II, and WHO II) and three nonlaboratory-based (Framingham, Globorisk, and WHO II) risk scores with the risk chart for the Netherlands. For the Globorisk, WHO II, and SCORE II risk scores, we also computed the risk scores using risk charts specified for the migrant home country. Risk categorization was first done according to the specification of the risk algorithm and then simplified to low (green), moderate (yellow and orange), and high risk (red). RESULTS we observed differences in risk categorization for different risk algorithms ranging from 0% (Globorisk) to 13% (Framingham) for the high-risk category, as well as differences in the country-of-residence- and country-of-birth-specific scores. Agreement between different scores ranged from none to moderate. We observed a moderate agreement between the Netherlands-specific SCORE II and the country-of-birth SCORE II for the Turkish and a nonagreement for the Dutch Moroccan population. CONCLUSION disparities exist in the use of the country-of-residence-specific, as compared to the country-of-birth, risk algorithms among ethnic minorities living in the Netherlands. Hence, there is a need for further validation of country-of-residence- and country-of-birth-adjusted scores to ascertain appropriateness and reliability.
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Affiliation(s)
- James Osei-Yeboah
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
- Department of Global and International Health, School of Public Health, Kwame Nkrumah University of Science and Technology, PMB KNUST, Kumasi GPS AK-448-4944, Ghana
| | - Eric P. Moll van Charante
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
- Department of General Practice, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
| | - Andre-Pascal Kengne
- Non-Communicable Disease Research Unit, South African Medical Research Council, Cape Town 7505, South Africa
| | - Ellis Owusu-Dabo
- Department of Global and International Health, School of Public Health, Kwame Nkrumah University of Science and Technology, PMB KNUST, Kumasi GPS AK-448-4944, Ghana
| | - Bert-Jan H. van den Born
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
- Department of Vascular Medicine, Amsterdam Cardiovascular Sciences, Amsterdam UMC, University of Amsterdam, 1012 WX Amsterdam, The Netherlands
| | - Henrike Galenkamp-van der Ploeg
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
| | - Felix P. Chilunga
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
| | - Daniel Boateng
- Department of Epidemiology & Biostatistics, School of Public Health, Kwame Nkrumah University of Science and Technology, PMB KNUST, Kumasi GPS AK-448-4944, Ghana
- Julius Global Health, Julius Center for Health Sciences and Primary Care, University Medical Centre, 3584 CX Utrecht, The Netherlands
| | - Ehsan Motazedi
- Amsterdam UMC Location Vrije Universiteit Amsterdam, Public and Occupational Health, De Boelelaan 1117, 1081 HZ Amsterdam, The Netherlands
| | - Charles Agyemang
- Department of Public and Occupational Health, Amsterdam UMC, Amsterdam Public Health Research Institute, University of Amsterdam, Meibergdreef 9, 1012 WX Amsterdam, The Netherlands
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