Derivation of pediatric within-individual biological variation by indirect sampling method: an LMS approach
Tze Ping Loh1, Enzo Ranieri2, Michael Patrick Metz3
1From the Department of Laboratory Medicine, National University Hospital, Singapore; tploh@hotmail.com.
Insights
Deriving pediatric within-individual biological variation (CVi) is challenging. This study estimated CVi for 22 biochemistry tests in children, finding stable trends with age and small differences compared to adults.
Area of Science:
- Clinical Biochemistry
- Pediatric Laboratory Medicine
- Biological Variation
Background:
- Pediatric within-individual biological variation (CVi) is difficult to determine due to sampling challenges.
- Accurate CVi data is crucial for interpreting pediatric laboratory results.
Purpose of the Study:
- To estimate pediatric within-individual biological variation (CVi) for 22 basic biochemistry tests.
- To develop age-specific CVi charts for children using a large dataset.
Main Methods:
- Utilized laboratory results from 9,356 children with multiple primary care visits.
- Calculated CVi using the formula (CVT² - CVa²)^0.5.
- Employed LMS ChartMaker software to derive smoothed 50th centile (median) CVi charts.
Main Results:
- Median CVi trends were generally stable with increasing age in the pediatric cohort.
- Significant age-related differences (>30%) in median CVi were observed for aspartate aminotransferase, globulin, phosphate, urea, and creatinine.
- Child and adult CVi were comparable, with most analytes showing a child to adult CVi ratio of 1.0 ± 0.5.
Conclusions:
- Median CVi derived from two repeat measurements provide reasonable estimates for children in primary care.
- The LMS approach effectively visualizes continuous CVi trends with age.
- Pediatric CVi estimation was extended to children younger than 4 years.
Objectives:
Pediatric within-individual biological variation (CVi) is a challenge to derive by direct sampling due to clinical, logistical, and ethical barriers.
Methods:
Laboratory results of 22 basic biochemistry tests performed on 9,356 children who visited primary care physicians more than once over a year were obtained from a large laboratory network in Australia. The CVi were calculated as (CVT (2) - CVa (2))(0.5), where CVT was the coefficient of variation between repeat measurements and CVa was the analytical imprecision. Smoothed 50th centile (median) CVi charts were derived using the LMS ChartMaker Light software (Medical Research Council, Cambridge, England) with L, M, and S parameters fixed at 3.0, 3.0, and 3.0 equivalent degrees of freedom, respectively.
Results:
In general, the median CVi trends for this pediatric cohort remained relatively stable with increasing age. Only aspartate aminotransferase, globulin, phosphate, urea, and creatinine had differences between the highest and lowest median CVi of more than 30%. The differences between the child and adult CVi were relatively small. Nearly all the analytes had child to adult CVi ratios of 1.0 ± 0.5.
Conclusions:
The median CVi derived from patients with only two repeat biochemistry measurements may be considered reasonable estimates of CVi among children seeking treatment at primary care settings. The LMS approach allowed visualization of the continuous trends of CVi with age and extended the pediatric CVi estimation to younger than 4 years.
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