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Mining of hospital laboratory information systems: a model study defining age- and gender-specific reference
Insights
Hospital lab data reveals significant age-related changes in pediatric plasma creatinine levels. Understanding these developmental patterns is crucial for accurate clinical interpretation and establishing reliable reference intervals in children.
Area of Science:
- Biochemistry
- Pediatric Laboratory Medicine
- Clinical Chemistry
Background:
- Limited knowledge exists on physiological variations of biochemical markers in pediatric populations.
- This gap challenges accurate clinical interpretation of laboratory tests in children.
- Hospital laboratory data offers a potential source for understanding these variations.
Purpose of the Study:
- To analyze hospital laboratory data for enzymatic plasma creatinine in pediatric patients.
- To explore the utility of this data in understanding developmental changes.
- To establish age- and gender-specific reference intervals for creatinine.
Main Methods:
- Utilized plasma creatinine measurements from 9700 children (0-18 years).
- Partitioned data into high-resolution gender and age groups.
- Employed normal probability plots and temporal trajectories to analyze developmental patterns.
Main Results:
- Plasma creatinine exhibits significant age dependence from birth through adolescence.
- Replicated 95% reference intervals comparable to healthy population studies.
- Identified critical transition points in creatinine levels post-birth and in early teens.
Conclusions:
- Hospital laboratory data can inform on developmental creatinine changes and heterogeneity.
- Pronounced heterogeneity highlights the need for precise age-specific reference intervals.
- Biological and chronological age differences influence creatinine distribution in children.
Background:
The knowledge of physiological fluctuation and variation of even commonly used biochemical quantities in extreme age groups and during development is sparse. This challenges the clinical interpretation and utility of laboratory tests in these age groups. To explore the utility of hospital laboratory data as a source of information, we analyzed enzymatic plasma creatinine as a model analyte in two large pediatric hospital samples.
Methods:
Plasma creatinine measurements from 9700 children aged 0-18 years were obtained from hospital laboratory databases and partitioned into high-resolution gender- and age-groups. Normal probability plots were used to deduce parameters of the normal distributions from healthy creatinine values in the mixed hospital datasets. Furthermore, temporal trajectories were generated from repeated measurements to examine developmental patterns in periods of changing creatinine levels.
Results:
Creatinine shows great age dependence from birth throughout childhood. We computed and replicated 95% reference intervals in narrow gender and age bins and showed them to be comparable to those determined in healthy population studies. We identified pronounced transitions in creatinine levels at different time points after birth and around the early teens, which challenges the establishment and usefulness of reference intervals in those age groups.
Conclusions:
The study documents that hospital laboratory data may inform on the developmental aspects of creatinine, on periods with pronounced heterogeneity and valid reference intervals. Furthermore, part of the heterogeneity in creatinine distribution is likely due to differences in biological and chronological age of children and should be considered when using age-specific reference intervals.
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