Individual growth curve models for assessing evidence-based referral criteria in growth monitoring

Individual growth curve models for assessing evidence-based referral criteria in growth monitoring

van Dommelen, P.
van Buuren, S.
Zandwijken, G.R.J.
Verkerk, P.H.
TNO Kwaliteit van Leven

2005

The goal of this study is to assess whether a growth curve model approach will lead to a more precise detection of Turner sydnrome (TS) than conventional referral criteria for growth monitoring. The Jenss-Bayley growth curve model was used to describe the process of growth over time. A new screening rule is defined on the parameters of this growth curve model, parental height and gestational age. The rule is applied to longitudinal growth data of a group of children with TS (n = 777) and a reference (n = 487) group. The outcome measures are sensitivity, specificity and median referral age. Growth curve parameters for TS children were different from reference children and can therefore be used for screening. The Jenss-Bayley growth model, which uses all longitudinal measurements from birth to a maximum age of 5 years with at least one measurement after the age of 2, together with parental height and gestational age can achieve a sensitivity of 85.2 per cent with a specificity of 99.5 per cent and a median referral age of 4.2 (the last measurement between the age of 2 and 5 of each child is considered to be the moment of referral). Sensitivity increases by 2 percentage points when decreasing the specificity to 99 per cent. The Jenss-Bayley growth model from birth to a maximum age of 8 years with at least one measurement after the age of 2, together with parental height results in a sensitivity of 89.0 per cent with a specificity of 99.5 per cent and a median referral age of 6.1. For a specificity of 98 per cent, we obtain a sensitivity of 92.3 per cent. In comparison to conventional rules applied to the same data, sensitivity is about 11-30 percentage points higher at the same level of specificity for the Jenss-Bayley growth rule. We conclude that from the age of 4, growth curve models can improve the screening on TS to conventional screening rules. Copyright © 2005 John Wiley & Sons, Ltd.

Health
Jenss-Bayley
Screening
Age
Child growth
Controlled study
Developmental, age and growth parameters
Giagnostic accuracy
Evidence based medicine
Gestational age
Growth curve
Major clinical study
Monitoring
Reference value
Screening test
Sensitivity analysis
Sensitivity and specificity
Turner syndrome
Biometry
Body Height
Body Weight
Child
Child Development
Child, Preschool
Discriminant Analysis
Evidence-Based Medicine
Female
Growth
Humans
Infant
Infant, Newborn
Longitudinal Studies
Male
Mass Screening
Models, Statistical
Netherlands
Parents
Turner Syndrome

http://resolver.tudelft.nl/uuid:42eda5c0-54bd-4312-8bfa-e6b189977270

https://doi.org/10.1002/sim.2234

239030

0277-6715

Statistics in Medicine, 24 (23), 3663-3674

article