Literature DB >> 1554809

Assessing the validity of childhood blood pressure screening: unbiased estimates of sensitivity, specificity, and predictive values.

M W Gillman1, N R Cook, B Rosner, D A Evans, M E Keough, J O Taylor, C H Hennekens.   

Abstract

Blood pressure measurement in childhood can be considered as a screening test for future blood pressure levels. Evaluating this test involves calculating sensitivities, specificities, and predictive values for a blood pressure measurement at an initial time for predicting underlying true blood pressure at a subsequent time. We demonstrate the use of childhood blood pressure tracking correlations that are corrected for within-person variability to calculate unbiased estimates of these test characteristics. In a cohort of 333 schoolchildren, we measured blood pressure on multiple visits in each of 4 successive years. Using these data for within-person variances and corrected tracking correlations, and U.S. population data for means and total variances, we tabulated positive predictive values, sensitivities, and specificities for the case of predicting a 9-year-old male's true systolic blood pressure 3 years later. For example, if a 9-year-old's average blood pressure from 4 visits is 115 mmHg, the probability of his true blood pressure being greater than 116 mmHg (90th percentile) at age 12 is 0.50. With longer follow-up, the use of predictive values, sensitivities, and specificities that incorporate corrected correlations should allow determination of the accuracy of predicting adult blood pressure from childhood values, and therefore the usefulness of screening children for those at high risk of developing hypertension.

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Year:  1992        PMID: 1554809     DOI: 10.1097/00001648-199201000-00008

Source DB:  PubMed          Journal:  Epidemiology        ISSN: 1044-3983            Impact factor:   4.822


  1 in total

1.  Effects of long-term averaging of quantitative blood pressure traits on the detection of genetic associations.

Authors:  Santhi K Ganesh; Daniel I Chasman; Martin G Larson; Xiuqing Guo; Germain Verwoert; Joshua C Bis; Xiangjun Gu; Albert V Smith; Min-Lee Yang; Yan Zhang; Georg Ehret; Lynda M Rose; Shih-Jen Hwang; George J Papanicolau; Eric J Sijbrands; Kenneth Rice; Gudny Eiriksdottir; Vasyl Pihur; Paul M Ridker; Ramachandran S Vasan; Christopher Newton-Cheh; Leslie J Raffel; Najaf Amin; Jerome I Rotter; Kiang Liu; Lenore J Launer; Ming Xu; Mark Caulfield; Alanna C Morrison; Andrew D Johnson; Dhananjay Vaidya; Abbas Dehghan; Guo Li; Claude Bouchard; Tamara B Harris; He Zhang; Eric Boerwinkle; David S Siscovick; Wei Gao; Andre G Uitterlinden; Fernando Rivadeneira; Albert Hofman; Cristen J Willer; Oscar H Franco; Yong Huo; Jacqueline C M Witteman; Patricia B Munroe; Vilmundur Gudnason; Walter Palmas; Cornelia van Duijn; Myriam Fornage; Daniel Levy; Bruce M Psaty; Aravinda Chakravarti
Journal:  Am J Hum Genet       Date:  2014-06-26       Impact factor: 11.025

  1 in total

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