02457nas a2200229 4500000000100000008004100001100001500042700001200057700001400069700001800083700001400101700001200115700001400127700001800141700001400159245017500173250001500348300001200363490000700375520179900382020004602181 2010 d1 aMuntner P.1 aMann D.1 aMichos E.1 aBlumenthal R.1 aCarson A.1 aChen H.1 aArnett D.1 aWoodward Mark1 aShimbo D.00aComparison of the Framingham Heart Study hypertension model with blood pressure alone in the prediction of risk of hypertension: the Multi-Ethnic Study of Atherosclerosis a2010/05/05 a1339-450 v553 a

A prediction model, developed in the Framingham Heart Study (FHS), has been proposed for use in estimating a given individual's risk of hypertension. We compared this model with systolic blood pressure (SBP) alone and age-specific diastolic blood pressure categories for the prediction of hypertension. Participants in the Multi-Ethnic Study of Atherosclerosis, without hypertension or diabetes mellitus (n=3013), were followed for the incidence of hypertension (SBP > or =140 mm Hg and/or diastolic blood pressure > or =90 mm Hg and/or the initiation of antihypertensive medication). The predicted probability of developing hypertension among 4 adjacent study examinations, with a median of 1.6 years between examinations, was determined. The mean (SD) age of participants was 58.5 (9.7) years, and 53% were women. During follow-up, 849 incident cases of hypertension occurred. The c statistic for the FHS model was 0.788 (95% CI: 0.773 to 0.804) compared with 0.768 (95% CI: 0.751 to 0.785; P=0.096 compared with the FHS model) for SBP alone and 0.699 (95% CI: 0.681 to 0.717; P<0.001 compared with the FHS model) for age-specific diastolic blood pressure categories. The relative integrated discrimination improvement index for the FHS model versus SBP alone was 10.0% (95% CI: -1.7% to 22.7%) and versus age-specific diastolic blood pressure categories was 146.0% (95% CI: 116.0% to 181.0%). Using the FHS model, there were significant differences between observed and predicted hypertension risks (Hosmer-Lemeshow goodness of fit: P<0.001); recalibrated and best-fit models produced a better model fit (P=0.064 and 0.245, respectively). In this multiethnic cohort of US adults, the FHS model was not substantially better than SBP alone for predicting hypertension.

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