Ignite Creation Date:
2024-05-05 @ 11:21 AM
Last Modification Date:
2024-10-26 @ 9:04 AM
Study NCT ID:
NCT00005221
Status:
COMPLETED
Last Update Posted:
2012-05-17
First Post:
2000-05-25
Brief Title:
Analysis of Longitudinal Cardiopulmonary Data
Sponsor:
Brigham and Womens Hospital
Organization:
Brigham and Womens Hospital
Study Overview
Official Title:
None
Status:
COMPLETED
Status Verified Date:
2012-05
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
To define new national norms for pediatric blood pressure by adjusting the available data set of over 60000 pediatric blood pressure readings for age height and gender among children of normal body weight
Detailed Description:
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 60000 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 ZinnerKass Study the LeeZinner 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 60000 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 16000 Houston school children who were screened for high blood pressure
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 60000 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 ZinnerKass Study the LeeZinner 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 60000 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 16000 Houston school children who were screened for high blood pressure
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None
Secondary IDs
| Secondary ID | Type | Domain | Link |
|---|---|---|---|
| R01HL040619 | NIH | None | httpsreporternihgovquickSearchR01HL040619 |