Fenton growth charts for male and female weight vs. age were digitized up to 40 weeks (for full-term) from the literature (1-3) using 'PinPoint Digitizer' (4). Fitting of weight LMS parameters by age and sex was done in R using the optimize function (5) and the sum of squares statistic between digitized and predicted weight percentiles. (1) https://ucalgary.ca/resource/preterm-growth-chart/preterm-growth-chart (2) Fenton, T.R., Kim, J.H. A systematic review and meta-analysis to revise the Fenton growth chart for preterm infants. BMC Pediatr 13, 59 (2013). doi:10.1186/1471-2431-13-59 (3) Fenton, T.R., Nasser, R., Eliasziw, M. et al. Validating the weight gain of preterm infants between the reference growth curve of the fetus and the term infant. BMC Pediatr 13, 92 (2013). doi:10.1186/1471-2431-13-92 (4) https://mhismail.github.io/PinPoint-Landing/ (5) <https://www.rdocumentation.org/packages/stats/versions/3.6.2/topics/ optimize>
fent0fent0A data frame with 38 rows and 16 columns:
Growth chart label
Demographic variable (WTKG is weight in kg)
Female sex indicator (0 is male; 1 is female)
Newborn age group bucket in weeks (PNA is postnatal age; GA is gestational age)
Power in the Box-Cox transformation (calculation of VAR using age)
Median (calculation of VAR using age)
Generalized coefficient of variation (calculation of VAR using age)
3rd percentile of the given VAR
5th percentile of the given VAR
10th percentile of the given VAR
25th percentile of the given VAR
50th percentile of the given VAR
75th percentile of the given VAR
90th percentile of the given VAR
95th percentile of the given VAR
97th percentile of the given VAR