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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

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
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