Print Email Facebook Twitter Individual growth curve models for assessing evidence-based referral criteria in growth monitoring Title Individual growth curve models for assessing evidence-based referral criteria in growth monitoring Author van Dommelen, P. van Buuren, S. Zandwijken, G.R.J. Verkerk, P.H. TNO Kwaliteit van Leven Publication year 2005 Abstract 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. Subject HealthJenss-BayleyScreeningAgeChild growthControlled studyDevelopmental, age and growth parametersGiagnostic accuracyEvidence based medicineGestational ageGrowth curveMajor clinical studyMonitoringReference valueScreening testSensitivity analysisSensitivity and specificityTurner syndromeBiometryBody HeightBody WeightChildChild DevelopmentChild, PreschoolDiscriminant AnalysisEvidence-Based MedicineFemaleGrowthHumansInfantInfant, NewbornLongitudinal StudiesMaleMass ScreeningModels, StatisticalNetherlandsParentsTurner Syndrome To reference this document use: http://resolver.tudelft.nl/uuid:42eda5c0-54bd-4312-8bfa-e6b189977270 DOI https://doi.org/10.1002/sim.2234 TNO identifier 239030 ISSN 0277-6715 Source Statistics in Medicine, 24 (23), 3663-3674 Document type article Files To receive the publication files, please send an e-mail request to TNO Library.