Indirect estimation of pediatric between-individual biological variation data for 22 common serum biochemistries

American Journal of Clinical Pathology

Volumn 143, Issue 5, 2015, Pages 683-693

  Loh, Tze Ping ^a   Metz, Michael Patrick ^b,c  

^a NATIONAL UNIVERSITY HOSPITAL   (Singapore)

^b WOMEN S AND CHILDREN S HOSPITAL   (Australia)

^c UNIVERSITY OF ADELAIDE   (Australia)

Author keywords

Between individual; Biological variation; Children; Data mining; Indirect sampling; Reference

Indexed keywords

ALANINE AMINOTRANSFERASE; ALBUMIN; ALKALINE PHOSPHATASE; ASPARTATE AMINOTRANSFERASE; BICARBONATE; BILIRUBIN; CHLORIDE; CHOLESTEROL; CREATININE; GAMMA GLUTAMYLTRANSFERASE; GLOBULIN; GLUCOSE; LACTATE DEHYDROGENASE; PHOSPHATE; POTASSIUM; SODIUM; UREA; URIC ACID; BIOLOGICAL MARKER;

ALANINE AMINOTRANSFERASE BLOOD LEVEL; ALBUMIN BLOOD LEVEL; ALKALINE PHOSPHATASE BLOOD LEVEL; ANION GAP; ARTICLE; ASPARTATE AMINOTRANSFERASE BLOOD LEVEL; AUSTRALIA; BICARBONATE BLOOD LEVEL; BILIRUBIN BLOOD LEVEL; BLOOD CHEMISTRY; CHILD; CHLORIDE BLOOD LEVEL; CHOLESTEROL BLOOD LEVEL; CREATININE BLOOD LEVEL; FEMALE; GAMMA GLUTAMYL TRANSFERASE BLOOD LEVEL; GENERAL PRACTITIONER; GLOBULIN BLOOD LEVEL; GLUCOSE BLOOD LEVEL; HUMAN; INDIVIDUALITY; LACTATE DEHYDROGENASE BLOOD LEVEL; MAJOR CLINICAL STUDY; MALE; OSMOLALITY; PHOSPHATE BLOOD LEVEL; POTASSIUM BLOOD LEVEL; PRIORITY JOURNAL; REFERENCE VALUE; SAMPLING; SEX DIFFERENCE; SODIUM BLOOD LEVEL; UREA BLOOD LEVEL; URIC ACID BLOOD LEVEL; ADOLESCENT; AGE; BLOOD; BLOOD ANALYSIS; INFANT; PRESCHOOL CHILD; STANDARDS; YOUNG ADULT;

ADOLESCENT; AGE FACTORS; BIOLOGICAL MARKERS; BLOOD CHEMICAL ANALYSIS; CHILD; CHILD, PRESCHOOL; FEMALE; HUMANS; INFANT; MALE; QUEENSLAND; REFERENCE VALUES; YOUNG ADULT;

EID: 84937120487     PISSN: 00029173     EISSN: 19437722     Source Type: Journal    
DOI: 10.1309/AJCPB7Q3AHYLJTPK     Document Type: Article

References (20)

1. Fraser CG, Harris EK. Generation and application of data on biological variation in clinical chemistry. Crit Rev Clin Lab Sci. 1989;27:409-437.
2. Loh TP, Antoniou G, Baghurst P, et al. Development of paediatric biochemistry centile charts as a complement to laboratory reference intervals. Pathology. 2014;46:336-343.
3. Schnabl K, Chan MK, Gong Y, et al. Closing the gaps in paediatric reference intervals: the CALIPER initiative. Clin Biochem Rev. 2008;29:89-96.
4. Loh TP, Ranieri E, Metz MP. Derivation of pediatric within-individual biological variation by indirect sampling method: an LMS approach. Am J Clin Pathol. 2014;142:657-663.
5. Tukey JW. Mathematics and the picturing of data. Proc Int Congress Math. 1975;2:523-531.
6. Green PJ. Penalized likelihood for general semi-parametric regression models. Int Stat Rev. 1987;55:245-259.
7. Cole TJ. The LMS method for constructing normalized growth standards. Eur J Clin Nutr. 1990;44:45-60.
8. Cole TJ, Green PJ. Smoothing reference centile curves: the LMS method and penalized likelihood. Stat Med. 1992;11:1305-1319.
9. Galteau MM, Guyon M, Gueguen R, et al. Determination of serum cystatin C: biological variation and reference values. Clin Chem Lab Med. 2001;39:850-857.
10. van der Merwe DE, Ubbink JB, Delport R, et al. Biological variation in sweat sodium chloride conductivity. Ann Clin Biochem. 2002;39:39-43.
11. Desmeules P, Cousineau J, Allard P. Biological variation of glycated haemoglobin in a paediatric population and its application to calculation of significant change between results. Ann Clin Biochem. 2010;47:35-38.
12. Koerbin G, Potter JM, Abhayaratna WP, et al. Longitudinal studies of cardiac troponin I in a large cohort of healthy children. Clin Chem. 2012;58:1665-1672.
13. Bailey D, Bevilacqua V, Colantonio DA, et al. Pediatric within-day biological variation and quality specifications for 38 biochemical markers in the CALIPER cohort. Clin Chem. 2014;60:518-529.
14. Ichihara K, Ceriotti F, Tam TH, et al. The Asian project for collaborative derivation of reference intervals: (1) strategy and major results of standardized analytes. Clin Chem Lab Med. 2013;51:1429-1142.
15. Ichihara K, Ceriotti F, Kazuo M, et al. The Asian project for collaborative derivation of reference intervals: (2) results of non-standardized analytes and transference of reference intervals to the participating laboratories on the basis of cross-comparison of test results. Clin Chem Lab Med. 2013;51:1443-1457.
16. Ricós C, Iglesias N, García-Lario JV, et al. Within-subject biological variation in disease: collated data and clinical consequences. Ann Clin Biochem. 2007;44:343-352.
17. Dittadi R, Peloso L, Gion M. Within-subject biological variation in disease: the case of tumour markers. Ann Clin Biochem. 2008;45:226-227.
18. Petersen PH, Fraser CG, Sandberg S, et al. The index of individuality is often a misinterpreted quantity characteristic. Clin Chem Lab Med. 1999;37:655-661.
19. Petersen PH, Sandberg S, Fraser CG, et al. Influence of index of individuality on false positives in repeated sampling from healthy individuals. Clin Chem Lab Med. 2001;39:160-165.
20. Iglesias N, Petersen PH, Ricós C. Power function of the reference change value in relation to cut-off points, reference intervals and index of individuality. Clin Chem Lab Med. 2005;43:441-448.