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# 📦 pediatric.zcalc

pediatric.zcalc provides functions to compute individual percentile ranks and z-scores for clinical biomarkers in children, adolescents and young adults, based on age-, sex-, and height-specific reference data from the IDEFICS study and the Biomarkers4Pediatrics collaboration. It also supports the computation of a composite Metabolic Syndrome (MetS) score and associated monitoring/action levels for health monitoring.

🔧 Installation

You can install the development version of pediatric.zcalc from GitHub using:

# Install devtools if not already installed
install.packages("devtools")

# Install directly from GitHub
devtools::install_github("bips-hb/pediatric.zcalc")

🚀 Example

library(pediatric.zcalc)

# Input: data frame with raw values
df <- data.frame(
  sex = c("f", "m"),
  age = c(8, 15),          # years
  height = c(120, 125),    # cm
  waist = c(55, 60),       # cm
  homa = c(1.2, 1.4),      # HOMA-IR, dimensionless
  sbp = c(100, 105),       # mmHg
  dbp = c(65, 70),         # mmHg
  trg = c(80, 90),         # mg/dL
  hdl = c(50, 45),         # mg/dL
  crp = c(6, 2)            # mg/L
)

# Calculate z-scores and MetS
results <- ScoreCalc(df, return_values = c("z.score", "MetS"))

# View output
print(results)

📚 Functions

• get_scores() — Get percentiles or z-scores for a single variable.
• ScoreCalc() — Calculate scores for multiple variables and optionally MetS.
• MetSScore() — Calculate MetS from z-scores.
• action_levels() — Assign action levels based on percentile cutoffs.

📖 Reference

This package uses internal parameter tables based on the IDEFICS study, a European cohort focused on childhood obesity and metabolic health, and Biomarkers4Pediatrics, an international multicohort pediatric biomarker collaboration:

• Ahrens, W., Moreno, L. A., Mårild, S., Molnár, D., Siani, A., De Henauw, S., Böhmann, J., Günther, K., Hadjigeorgiou, C., Iacoviello, L., Lissner, L., Veidebaum, T., Pohlabeln, H. & Pigeot, I. on behalf of the IDEFICS consortium (2014). Metabolic syndrome in young children: definitions and results of the IDEFICS study. International Journal of Obesity, 38 (Suppl 2), S4–S14.

• http://www.biomarkers4pediatrics.eu/

The reference data used for all variables other than CRP in this package were originally published in: - bips-hb/IDEFICS-Score_Calculator — a repository containing the IDEFICS tables and an R script version of the scoring logic.

This package improves upon and packages that logic cleanly for programmatic and research use.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.