Hypertension Clinical Trial
To define new national norms for pediatric blood pressure by adjusting the available data set of over 60,000 pediatric blood pressure readings for age, height and gender among children of normal body weight.
BACKGROUND:
Longitudinal designs are frequently encountered in epidemiologic research, particularly in
the cardiopulmonary field. Many different statistical models have been proposed for the
analysis of longitudinal data in the statistical literature. These include the general
linear model, autoregressive models, random effects models, and simple models based on an
analysis of slopes over time. Complex models are not widely used in the epidemiologic
literature, due mainly to a lack of understanding of their underlying utility and the types
of questions that could be answered with complex models that cannot be addressed using
simple models. An additional problem is a lack of software available for fitting complex
models. The study has important public health implications, since longitudinal data continue
to accumulate rapidly and no guidelines are available as to the appropriate methods of
analysis for specific research questions. Furthermore, it is often only through the
modelling of longitudinal data that processes pertaining to change can be understood. The
original aim of the study was to perform a comparative study of statistical models on
datasets from nine large epidemiological studies in the cardiopulmonary field in order to
develop tools for identifying appropriate classes of statistical models for use in analyzing
longitudinal data.
The present study define new national norms for pediatric blood pressure by adjusting the
available data set of over 60,000 pediatric blood pressure readings for age, height and
gender among children of normal body weight. It has been increasingly accepted that there is
a long-term correlation between blood pressure in childhood and adulthood. Hence, it is
significant to monitor childhood blood pressure. The 90th and 95th percentiles of blood
pressure for specific age, sex and height groups were presented in the Update for the 1987
Task Force Report on Blood Pressure control in children, arid widely distributed by the
National High Blood Pressure Education Program. There has been a recent update to the Task
Force Report (Pediatrics, 2004) which used more current height percentiles based on Center
for Disease Control and Prevention (2000) growth charts and extends the percentiles provided
to include the 50th, 90th, 95th, and 99th percentiles. However, the percentiles are based on
all children including both obese and non-obese children.
DESIGN NARRATIVE:
The nine datasets used included: for pulmonary data, the Childhood Respiratory Disease
Study, the Netherlands data from Vlagtwedde and Vlaardingen, the Boston Police Study, the
Fletcher Study data from England; for cardiopulmonary data, the Veterans Administration
Normative Aging Study; for blood pressure data, the Wales Study, the Zinner/Kass Study, the
Lee/Zinner Study, and the East Boston Childhood Blood Pressure Study. For each of the nine
datasets the following models were fitted and compared for adults, children, and for adults
and children combined: autoregressive models both serial-correlation and state-dependence;
random-effects models; regression models with intraclass correlation structure; general
linear models; models based on fitting slopes to individual persons. New methods for
analyzing longitudinal data were developed and included fitting of higher-order
autoregressive models with unequally spaced data, nonparametric methods, familial and other
clustering effects in the analysis of longitudinal pulmonary function data, robust methods,
empirical Bayes methods for estimation of slopes, and hierarchial models based on old and
new methods.
The study was renewed in 1996 to perform a comparative study of complex models on datasets
from four large epidemiologic studies in the cardiopulmonary field. The models were compared
as regards goodness of fit, ease of implementation, and interpretability. In addition, new
statistical methods were developed to model phenomena which seemed poorly-fitted by existing
models, including adult longitudinal bp and pulmonary function data. The overall goal was to
develop tools for identifying appropriate classes of longitudinal statistical models. This
has important public health implications, since longitudinal data continue to accumulate
rapidly and no guidelines exist as to appropriate methods of analysis. Furthermore, it is
often only through modelling of longitudinal data rather than through cross-sectional or
separate two time-point analyses that underlying processes pertaining to change can be
understood.
The study was renewed in February 2000 to extend and enhance several techniques in the
analyses of longitudinal data frequently encountered in epidemiological studies. The
techniques include: methods for control for time-dependent confounding in epidemiological
studies; developing an incidence model for benign breast disease using the Nurses' Health
Study; analysis of incomplete longitudinal data from the Normative Aging Study; extending
the penalized likelihood procedures for quantile regression to the repeated measures
setting; and development of methods to estimate correlated ROC curves to measure the
predictive accuracy of GEE regression models for longitudinal data.
The study was renewed in 2005 to define new national norms for pediatric blood pressure by
adjusting the available data set of over 60,000 pediatric blood pressure readings for age,
height and gender among children of normal body weight. The study will (a) broaden the
percentiles presented so as to display the full range of blood pressure percentiles from the
first to the 99th percentile (b) evaluate the percentiles for children of normal body weight
so as to disentangle the relationship between hypertension and obesity (c) provide a
algorithm using Microsoft Access for computation of a blood pressure percentile or Z-score
in a user-friendly format (d) provide percentiles for both K4 and K5 diastolic blood
pressure (the Task Force Report only includes percentiles for K5 DBF) and (e) compare
childhood blood pressure percentiles by ethnic group. The study will also develop screening
rules for detecting high blood pressure in children. Given the existence of new Task Force
Norms that quantify percentile values of blood pressure in children by age, sex and height,
an significant issue is how to use these norms to effectively screen children for high blood
pressure, where high blood pressure is defined as having an average blood pressure > 95'
percentile for a given age, sex and height based on task force percentiles over a large
number of visits. The goal is to develop efficient screening rules that maximize accuracy
with the fewest screening visits necessary per child. The screening rules will be assessed
in simulation studies and tested in a sample of 16,000 Houston school children who were
screened for high blood pressure
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