Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Laboratory-Based and Office-Based Risk Scores and Charts to Predict 10-Year Risk of Cardiovascular Disease in 182 Countries: A Pooled Analysis of Prospective Cohorts and Health Surveys Publisher Pubmed



Ueda P1 ; Woodward M3, 4, 5 ; Lu Y6 ; Hajifathalian K7 ; Alwotayan R8 ; Aguilarsalinas CA9 ; Ahmadvand A10, 11, 13 ; Azizi F15 ; Bentham J11 ; Cifkova R17 ; Di Cesare M10, 11, 18 ; Eriksen L19 ; Farzadfar F13, 14 ; Ferguson TS20 Show All Authors
Authors
  1. Ueda P1
  2. Woodward M3, 4, 5
  3. Lu Y6
  4. Hajifathalian K7
  5. Alwotayan R8
  6. Aguilarsalinas CA9
  7. Ahmadvand A10, 11, 13
  8. Azizi F15
  9. Bentham J11
  10. Cifkova R17
  11. Di Cesare M10, 11, 18
  12. Eriksen L19
  13. Farzadfar F13, 14
  14. Ferguson TS20
  15. Ikeda N21
  16. Khalili D16
  17. Khang YH22
  18. Lanska V23
  19. Leonmunoz L24
  20. Magliano DJ25
  21. Margozzini P26
  22. Msyamboza KP27
  23. Mutungi G28
  24. Oh K29
  25. Oum S30
  26. Rodriguezartalejo F24
  27. Rojasmartinez R31
  28. Valdivia G32
  29. Wilks R20
  30. Shaw JE25
  31. Stevens GA33
  32. Tolstrup JS19
  33. Zhou B10, 11
  34. Salomon JA1
  35. Ezzati M10, 11, 12, 34
  36. Danaei G1, 2
Show Affiliations
Authors Affiliations
  1. 1. Department of Global Health and Population, Harvard School of Public Health, Boston, MA, United States
  2. 2. Department of Epidemiology, Harvard School of Public Health, Boston, MA, United States
  3. 3. The George Institute for Global Health, University of Oxford, Oxford, United Kingdom
  4. 4. The George Institute for Global Health, University of Sydney, Sydney, NSW, Australia
  5. 5. Department of Epidemiology, Johns Hopkins University, Baltimore, MD, United States
  6. 6. Yale/Yale-New Haven Hospital, Center for Outcomes Research and Evaluation, New Haven, CT, United States
  7. 7. Department of Internal Medicine, Cleveland Clinic, Cleveland, OH, United States
  8. 8. Central Department of Primary Health Care, Ministry of Health, Kuwait City, Kuwait
  9. 9. Department of Endocrinology and Metabolism, Instituto Nacional de Ciencias Medicas y Nutricion, “Salvador Zubiran�, Mexico City, Mexico
  10. 10. MRC-PHE Centre for Environment and Health, Imperial College London, London, United Kingdom
  11. 11. Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, London, United Kingdom
  12. 12. WHO Collaborating Centre on NCD Surveillance and Epidemiology, Imperial College London, London, United Kingdom
  13. 13. Non-Communicable Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran
  14. 14. Endocrinology and Metabolism Research Center, Endocrinology and Metabolism Research Institute, Tehran University of Medical Sciences, Tehran, Iran
  15. 15. Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  16. 16. Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  17. 17. Center for Cardiovascular Prevention, Charles University in Prague, First Faculty of Medicine and Thomayer Hospital, Prague, Czech Republic
  18. 18. Department of Natural Sciences, School of Science and Technology, Middlsex University, London, United Kingdom
  19. 19. National Institute of Public Health, University of Southern Denmark, Copenhagen, Denmark
  20. 20. Epidemiology Research Unit, Caribbean Institute for Health Research, The University of the West Indies, Kingston, Jamaica
  21. 21. Center for International Collaboration and Partnership, National Institute of Health and Nutrition, National Institutes of Biomedical Innovation, Health and Nutrition, Tokyo, Japan
  22. 22. Institute of Health Policy and Management, Seoul National University College of Medicine, Seoul, South Korea
  23. 23. Statistical Unit, Institute for Clinical and Experimental Medicine, Prague, Czech Republic
  24. 24. Department of Preventive Medicine and Public Health, School of Medicine, Universidad Autonoma de Madrid/Idipaz, CIBER of Epidemiology and Public Health, Madrid, Spain
  25. 25. Baker IDI Heart and Diabetes Institute, Melbourne, VIC, Australia
  26. 26. Department of Public Health, Faculty of Medicine, Pontifical Catholic University of Chile, Santiago, Chile
  27. 27. WHO, Malawi Country Office, Lilongwe, Malawi
  28. 28. Non-communicable Diseases Prevention and Control Program at the Ministry of Health, Kampala, Uganda
  29. 29. Division of Health and Nutrition Survey, Korea Centers for Disease Control and Prevention, Cheongwon-gun, South Korea
  30. 30. University of Health Sciences, Phnom Penh, Cambodia
  31. 31. Centro de Investigacion en Salud Poblacional, Instituto Nacional de Salud Publica, Cuernavaca, Mexico
  32. 32. Division Salud Publica y Medicina Familiar, Pontificia Universidad Catolica de Chile, Santiago, Chile
  33. 33. Department of Information, Evidence and Research, WHO, Geneva, Switzerland
  34. 34. Wellcome Trust Centre for Global Health Research, London, United Kingdom

Source: The Lancet Diabetes and Endocrinology Published:2017


Abstract

Background Worldwide implementation of risk-based cardiovascular disease (CVD) prevention requires risk prediction tools that are contemporarily recalibrated for the target country and can be used where laboratory measurements are unavailable. We present two cardiovascular risk scores, with and without laboratory-based measurements, and the corresponding risk charts for 182 countries to predict 10-year risk of fatal and non-fatal CVD in adults aged 40–74 years. Methods Based on our previous laboratory-based prediction model (Globorisk), we used data from eight prospective studies to estimate coefficients of the risk equations using proportional hazard regressions. The laboratory-based risk score included age, sex, smoking, blood pressure, diabetes, and total cholesterol; in the non-laboratory (office-based) risk score, we replaced diabetes and total cholesterol with BMI. We recalibrated risk scores for each sex and age group in each country using country-specific mean risk factor levels and CVD rates. We used recalibrated risk scores and data from national surveys (using data from adults aged 40–64 years) to estimate the proportion of the population at different levels of CVD risk for ten countries from different world regions as examples of the information the risk scores provide; we applied a risk threshold for high risk of at least 10% for high-income countries (HICs) and at least 20% for low-income and middle-income countries (LMICs) on the basis of national and international guidelines for CVD prevention. We estimated the proportion of men and women who were similarly categorised as high risk or low risk by the two risk scores. Findings Predicted risks for the same risk factor profile were generally lower in HICs than in LMICs, with the highest risks in countries in central and southeast Asia and eastern Europe, including China and Russia. In HICs, the proportion of people aged 40–64 years at high risk of CVD ranged from 1% for South Korean women to 42% for Czech men (using a ≥10% risk threshold), and in low-income countries ranged from 2% in Uganda (men and women) to 13% in Iranian men (using a ≥20% risk threshold). More than 80% of adults were similarly classified as low or high risk by the laboratory-based and office-based risk scores. However, the office-based model substantially underestimated the risk among patients with diabetes. Interpretation Our risk charts provide risk assessment tools that are recalibrated for each country and make the estimation of CVD risk possible without using laboratory-based measurements. Funding National Institutes of Health. © 2017 Elsevier Ltd
Other Related Docs
18. Iran in Transition, The Lancet (2019)
23. Glycemic Index (Gi) Values for Major Sources of Dietary Carbohydrates in Iran, International Journal of Endocrinology and Metabolism (2020)
31. Cardiovascular Risk Assessment by Frs and Score in Iranian Adult Population, Journal of Diabetes and Metabolic Disorders (2017)
36. Burden of Non-Communicable Diseases in Iran: Past, Present, and Future, Journal of Diabetes and Metabolic Disorders (2020)