Impact of age partitioning on classification discordance in pediatric ferritin reference intervals

OBJECTIVES: To evaluate how alternative age-partitioning strategies affect result classification using discrete pediatric ferritin reference intervals (RIs). METHODS: In a prospective cohort of 3,322 apparently healthy individuals aged birth to <19 years, serum ferritin was measured on the Cobas Pro platform. A common preprocessing pipeline, including Horn's algorithm, was applied once before all comparisons. Five age-partitioning schemes were evaluated: a data-driven classification and regression tree (CART)-based scheme (Scheme 1, reference), a physiology-informed high-resolution scheme, a CLSI-informed scheme, and two progressively broader pragmatic schemes. Nonparametric RIs were derived, and classification performance was assessed using apparent and out-of-bag (OOB) flagging rates, age-resolved analyses, discordance relative to Scheme 1, and boundary-focused and Lahti's evaluations. RESULTS: Overall flagging rates were similar across schemes (5.06-5.33 % apparent; 5.23-5.80 % OOB). However, substantial age-specific differences were observed. Discordance relative to Scheme 1 was lowest for Scheme 3 (1.99 %) and similarly low for Scheme 2 (2.26 %), but increased for Schemes 4 and 5 (3.76-4.64 %). Boundary discordance reached 15.0 % at 6 months in broader schemes and reached 11.84 % at adolescent transitions. Age-resolved analyses showed marked heterogeneity during infancy, with overall flagging rates varying up to threefold between schemes within adjacent monthly bins. Lahti's evaluation confirmed non-interchangeability of adjacent partitions, particularly in early infancy. CONCLUSIONS: Despite similar overall flagging rates, marked age-specific classification differences occur, particularly in early infancy and around key developmental boundaries. Broader partitions may obscure physiological variation and increase classification discordance. Age-resolved evaluation should complement statistical criteria when defining pediatric RIs.

Authors

Institutions

Publication Details

Journal
Clinical Chemistry and Laboratory Medicine (CCLM)
Published
2026-06-30
DOI
https://doi.org/10.1515/cclm-2026-0785
Primary Topic
Iron Metabolism and Disorders
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Impact of age partitioning on classification discordance in pediatric ferritin reference intervals

Ronda F. Greaves, Dung Kim Le, Tze Ping Loh, Mai Thi Chi Tran et al.
Clinical Chemistry and Laboratory Medicine (CCLM)
Iron Metabolism and Disorders
article

Impact of age partitioning on classification discordance in pediatric ferritin reference intervals

Ronda F. Greaves, Dung Kim Le, Tze Ping Loh, Mai Thi Chi Tran, Dien Minh Tran, Thao Thu Ngoc, Trang Thi Thu Tran
article en

Abstract

OBJECTIVES: To evaluate how alternative age-partitioning strategies affect result classification using discrete pediatric ferritin reference intervals (RIs). METHODS: In a prospective cohort of 3,322 apparently healthy individuals aged birth to <19 years, serum ferritin was measured on the Cobas Pro platform. A common preprocessing pipeline, including Horn's algorithm, was applied once before all comparisons. Five age-partitioning schemes were evaluated: a data-driven classification and regression tree (CART)-based scheme (Scheme 1, reference), a physiology-informed high-resolution scheme, a CLSI-informed scheme, and two progressively broader pragmatic schemes. Nonparametric RIs were derived, and classification performance was assessed using apparent and out-of-bag (OOB) flagging rates, age-resolved analyses, discordance relative to Scheme 1, and boundary-focused and Lahti's evaluations. RESULTS: Overall flagging rates were similar across schemes (5.06-5.33 % apparent; 5.23-5.80 % OOB). However, substantial age-specific differences were observed. Discordance relative to Scheme 1 was lowest for Scheme 3 (1.99 %) and similarly low for Scheme 2 (2.26 %), but increased for Schemes 4 and 5 (3.76-4.64 %). Boundary discordance reached 15.0 % at 6 months in broader schemes and reached 11.84 % at adolescent transitions. Age-resolved analyses showed marked heterogeneity during infancy, with overall flagging rates varying up to threefold between schemes within adjacent monthly bins. Lahti's evaluation confirmed non-interchangeability of adjacent partitions, particularly in early infancy. CONCLUSIONS: Despite similar overall flagging rates, marked age-specific classification differences occur, particularly in early infancy and around key developmental boundaries. Broader partitions may obscure physiological variation and increase classification discordance. Age-resolved evaluation should complement statistical criteria when defining pediatric RIs.

Clinical Chemistry and Laboratory Medicine (CCLM)
The University of Melbourne (AU), Hanoi Medical University (VN), Victorian Clinical Genetics Services (AU), Vietnam National Children's Hospital (VN), National University Hospital (SG), Murdoch Children's Research Institute (AU)
Openalex Percentile: Top 8%
Iron Metabolism and Disorders
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.