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Development of risk prediction tools for predicting hypertension.

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posted on 05.07.2013, 01:44 by Justin B. Echouffo-Tcheugui, G. David Batty, Mika Kivimäki, Andre P. Kengne

ARIC: Atherosclerosis Risk in Communities, BMI: body mass index; BP: Blood pressure, CHS: Cardiovascular Health Study, CVD: cardiovascular disease, DBP: diastolic blood pressure, DM; diabetes mellitus, eGFR: estimated glomerular filtration rate, HF: heart failure, HDL-cholesterol: High Density Lipoprotein -Cholesterol, IDI: Integrative Discriminative Index, HTN: hypertension, Hx: history, NA: Not applicable, NRI: Net reclassification Index, NR: not reported,, SBP: systolic blood pressure, SD: standard deviation, WC: waist circumference, WHR: waist to hip ratio.


average of the current and previous blood pressure measurements from different time points and entered this, instead of current and previous blood pressure measurements, in the risk prediction score.


Usual systolic and diastolic blood pressures at the previous time point according to the following formula: UBPi = BPbm+ [RDR× (BPbi-BPbm)], where UBPi refers to each participant’s usual blood pressure, BPbm to the average blood pressure in the population, RDR to the regression: dilution ratio, and BPbi to the participant’s blood pressure. The regression: dilution ratio for a non-hypertensive population by using the mean values of the previous and current blood pressures, which were computed within quartiles of the previous blood pressure. The difference in mean blood pressure between the lowest and highest quartiles for the previous blood pressure and the current blood pressures were calculated and their ratio used to estimate the regression: dilution ratio.