Evidence map›Paper›PMID 42736809›Full record

ArticleMedicine2026

Continuous age-dependent centile curves and preliminary reference intervals for renal biomarkers and electrolytes in healthy Kenyan children under five years: A single-center cross-sectional study.

Brian Nganda, Peter Karanja, Kennedy Muna, Gervason Moriasi

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In one paragraph

Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Brian NgandaDepartment of Medical Laboratory Sciences, School of Biomedical Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.ORCID 0009-0006-5981-1424
Peter KaranjaDepartment of Medical Laboratory Sciences, School of Biomedical Sciences, Jomo Kenyatta University of Agriculture and Technology, Nairobi, Kenya.
Kennedy MunaDepartment of Medical Laboratory Sciences, School Pure, Applied, and Health Sciences, Murang'a University of Technology, Murang'a, Kenya.
Gervason MoriasiDepartment of Biochemistry, Microbiology, and Biotechnology, School of Pure and Applied Sciences, Kenyatta University, Nairobi, Kenya.ORCID 0000-0001-5604-9987

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Renal biomarkers change rapidly in early childhood, but pediatric reference intervals used in African laboratories are often extrapolated from non-African populations and discrete age partitions. This study derived continuous age-dependent centile curves and preliminary reference intervals for body mass index (BMI), serum creatinine, urea, and electrolytes in healthy Kenyan children aged 0 to 60 months. In this cross-sectional study, 176 children (90 males, 86 females) were systematically recruited at Kitui County Referral Hospital between June 2024 and February 2025. Children underwent clinical screening, World Health Organization-standard anthropometry, and morning fasting venous blood sampling. Creatinine and urea were measured using isotope-dilution mass spectrometry-traceable enzymatic assays, and electrolytes by direct ion-selective electrode. Centiles (2.5th, 50th, 97.5th) were estimated non-parametrically with 90% bootstrap confidence intervals, and continuous age trends modeled using generalized additive models for location, scale, and shape or quantile regression. BMI showed modest age-related variation, with median values rising from 15.8 kg/m2 (2.5th-97.5th: 11.4-20.2) at 0 to 11 months to 16.5 kg/m2 (10.1-23.0) at 48 to 60 months, with dispersion narrowing after age 2. Median creatinine rose steeply in infancy and more gradually thereafter, from 17.4 to 31.2 µmol/L. Urea increased gradually from a median of 2.59 to 3.63 mmol/L, with overlapping centile limits across adjacent strata. Electrolytes were tightly regulated and largely age-invariant: sodium ranged from 135 to 147 mmol/L (median ~141), potassium 3.6 to 5.7 mmol/L (median declining from 4.9 to 4.5), and chloride 100 to 111 mmol/L (median ~105-106). Sex-specific partitions were supported only in early life (BMI in infancy, creatinine in toddlers); correlations between anthropometric z-scores and biomarkers were weak (|ρ| < 0.15; P > .10). These continuous centile curves provide the first preliminary age-dependent reference estimates for renal biomarkers in Kenyan children under 5, showing rapid early renal maturation alongside stable electrolyte homeostasis. As this cross-sectional design cannot capture within-subject variation, larger multicenter and longitudinal studies are needed to confirm these trajectories, refine intervals, and develop age-dependent z-score calculators for clinical use.

Indexed as

BiomarkersCreatinineElectrolytesKidneyUreaAge FactorsBody Mass IndexChild, PreschoolCross-Sectional StudiesFemaleHumansInfantInfant, NewbornKenyaMaleReference ValuesBiomarkersCreatinineElectrolytesUreadiagnostic accuracygeneralized additive modelspediatric reference intervalsrenal function biomarkers

Identifiers

PMID42736809
PMCPMC13574458

What Socratic holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.