Growth Charts

Methods of displaying growth parameters over time

Growth Charts for Non-Growth Hormone Treated Prader-Willi Syndrome

Provides images of smoothed growth curves obtained from 120 non–growth hormone–treated white subjects with Prader-Willi Syndrome between 3 and 18 years of age from 4 states. Does not provide data that might allow one to implement the curves in an electronic format. Note published erratum citing minor formatting errors.

[su_cite_pediatrics url_fragment = ‘135/1/e126’ author = ‘Butler’ year = ‘2014’] | PubMed 25489013 | Author Search

Growth Charts for 22q11 Deletion Syndrome

Growth charts developed through retrospective chart review on 188 male and female patients with 22q11.2 deletion syndrome (DiGeorge syndrome and velo-cardio-facial syndrome confirmed by molecular cytogenetics). Some had cardiac anomalies, but it has been shown that presence of heart defects does not affect stature in this population. Although adult values for weight, BMI, and head circimference were similar to the normal population, adult height was lower in this syndrome than in the normal population.

Tarquinio 2012 (Am J Med Genet A) | PubMed 22887711 | Author Search

Growth Failure and Outcome in Rett Syndrome

rett_growth_chartsGrowth charts for classic and atypical Rett Syndrome were derived from 9,749 observations of 816 girls. Mean growth in classic RTT decreased below that for the normative population at 1 month for head circumference, 6 months for weight, and 17 months for length. Mean BMI was similar in those with RTT and the normative population. Pubertal increases in height and weight were absent in classic RTT. Classic RTT was associated with more growth failure than atypical RTT. Includes curves plotted along with CDC norms for comparison.

Tarquinio 2012 (Neurology) | PubMed 23035069 | Author Search

Clinical Tracking of Severely Obese Children: A New Growth Chart

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Proposes a new type of growth chart that plots BMI againt the usual isobars plus an additional set that represent multiples of the 95th percentile for age/gender (x 1.1, x 1.2, x 1.3, etc.). Offers a way to indicate changes in body weight for the very obese that are perhaps more intuitive than the usual z-score method, and definitely more meaningful than percentiles. The screen shot in the article has been modified to label the isobars in a way that the software does not support.

[su_cite_pediatrics url_fragment = ‘130/6/1136’ author = ‘Gulati’ year = ‘2012’] | PubMed 23129082 | Author Search

Growth of Breast-Fed Infants Deviates From Current Reference Data: A Pooled Analysis of US, Canadian, and European Data Sets

Early recognition of the difference in growth patterns due to differences in diet among normal infants. This is the foundation of our understanding of the lower growth rates seen in health, breast-fed infants. These patterns are now incorporated into the recommended World Health Organization growth charts recommended for those under two years old in the United States. [su_cite_pediatrics url_fragment = ’96/3/497′ author = ‘Dewey’ year = ‘1995’]

The Natural History of Weight Percentile Changes in the First Year of Life

Another demonstration that growth in the first year of life is not as smooth as we’d like to think, and that “crossing percentile lines” does not mean what we have long been taught. Before you do a “failure to thrive workup” (whatever you think that is), check out this data to be sure you are interpreting “failed” growth appropriately. In this study from EMR data, 38% of infants fell by 2 “percentile lines” and would have been considered to be failing to thrive by that definition. But they were not.

Bennett 2014 (JAMA Pediatrics) | PubMed 24797161 | Author Search