Dataset Information

Clinician Diagnoses of Failure to Thrive Before and After Switch to World Health Organization Growth Curves.

ABSTRACT:

Objective

To evaluate change in the incidence of failure to thrive (FTT) based on selected growth percentile criteria and diagnostic codes before and after a switch in growth curves.

Methods

We performed a retrospective cohort study of children 2 to 24 months of age in a large primary care network that switched its default growth curve from the Centers for Disease Control and Prevention (CDC) reference to the World Health Organization (WHO) standards in 2012. We compared the incidence of FTT defined by growth percentile criteria (using the default growth curve at the time of each measurement) and by International Classification of Diseases, Ninth Revision, codes in the 3 years before and after the CDC-WHO switch using an interrupted time series analysis. We performed these analyses stratified by age group (≤6 months and >6-24 months).

Results

We evaluated 83,299 children. Among those ≤6 months, increases in FTT incidence were found in both growth-percentile and clinician-diagnosis criteria at the CDC-WHO switch (P < .05). Among those >6 to 24 months, decreases in FTT incidence were found by growth-percentile criteria at the CDC-WHO switch (P < .05), but no significant changes were found in FTT incidence by diagnostic codes.

Conclusions

When switching from the CDC to the WHO growth curves, changes in the incidence of FTT by growth-percentile and clinician-diagnosis criteria differed for younger versus older infants. Factors beyond growth likely influence the decision to diagnose a child as having FTT and may differ in younger compared to older infants.

SUBMITTER: Daymont C

PROVIDER: S-EPMC6874747 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundFor ages 5-19 years, the World Health Organization (WHO) publishes reference charts based on 'core data' from the US National Center for Health Statistics (NCHS), collected from 1963-75 on 22,917 US children. To promote the use of body mass index in older children, weight-for-age was omitted after age 10. Health providers have subsequently expressed concerns about this omission and the selection of centiles. We therefore sought to extend weight-for-age reference curves from 10 to 19 years by applying WHO exclusion criteria and curve fitting methods to the core NCHS data and to revise the choice of displayed centiles.MethodsWHO analysts first excluded ~ 3% of their reference population in order to achieve a "non-obese sample with equal height". Based on these exclusion criteria, 314 girls and 304 boys were first omitted for 'unhealthy' weights-for-height. By applying WHO global deviance and information criteria, optimal Box-Cox power exponential models were used to fit smoothed weight-for-age centiles. Bootstrap resampling was used to assess the precision of centile estimates. For all charts, additional centiles were included in the healthy range (3 to 97%), and the more extreme WHO centiles 0.1 and 99.9% were dropped.ResultsIn addition to weight-for-age beyond 10 years, our charts provide more granularity in the centiles in the healthy range -2 to +2 SD (3-97%). For both weight and BMI, the bootstrap confidence intervals for the 99.9th centile were at least an order of magnitude wider than the corresponding 50th centile values.ConclusionsThese charts complement existing WHO charts by allowing weight-for-age to be plotted concurrently with height in older children. All modifications followed strict WHO methodology and utilized the same core data from the US NCHS. The additional centiles permit a more precise assessment of normal growth and earlier detection of aberrant growth as it crosses centiles. Elimination of extreme centiles reduces the risk of misclassification. A complete set of charts is available at the CPEG web site (http://cpeg-gcep.net).