Personalized reference intervals: from theory to practice

References

• Ziegelstein RC. Personomics: the missing link in the evolution from precision medicine to personalized medicine. JPM. 2017;7(4):11.
   Google Scholar
• Kirsner RS, Federman DG. The ethical dilemma of population-based medical decision making. Am J Manag Care. 1998;4(11):1571–1576.
   PubMed Web of Science ®Google Scholar
• Jain KK. Role of proteomics in the development of personalized medicine. Adv Protein Chem Struct Biol. 2016;102:41–52.
   PubMed Web of Science ®Google Scholar
• Ginsburg GS, Willard HF. Genomic and personalized medicine: foundations and applications. Transl Res. 2009;154(6):277–287.
   PubMed Web of Science ®Google Scholar
• Jacob M, Lopata AL, Dasouki M, et al. Metabolomics toward personalized medicine. Mass Spectrom Rev. 2019;38(3):221–238.
   PubMed Web of Science ®Google Scholar
• Li S, Todor A, Luo R. Blood transcriptomics and metabolomics for personalized medicine. Comput Struct Biotechnol J. 2016;14:1–7.
   PubMed Web of Science ®Google Scholar
• Topić E. 5. Pharmacogenomics and personalized medicine. EJIFCC. 2008;19:31–41.
   PubMedGoogle Scholar
• Kronfol MM, Dozmorov MG, Huang R, et al. The role of epigenomics in personalized medicine. Expert Rev Precis Med Drug Dev. 2017;2(1):33–45.
   PubMed Web of Science ®Google Scholar
• Goetz LH, Schork NJ. Personalized medicine: motivation, challenges, and progress. Fertil Steril. 2018;109(6):952–963.
   PubMed Web of Science ®Google Scholar
• Lattanzi W, Ripoli C, Greco V, et al. Basic and preclinical research for personalized medicine. JPM. 2021;11(5):354.
   Google Scholar
• Schork NJ. Artificial intelligence and personalized medicine. Cancer Treat Res. 2019;178:265–283.
   PubMedGoogle Scholar
• Ziegelstein RC. Personomics. JAMA Intern Med. 2015;175(6):888–889.
   PubMed Web of Science ®Google Scholar
• Shindo Y, Hazama S, Tsunedomi R, et al. Novel biomarkers for personalized cancer immunotherapy. Cancers. 2019;11(9):1223.
   PubMed Web of Science ®Google Scholar
• Stintzing S, Stremitzer S, Sebio A, et al. Predictive and prognostic markers in the treatment of metastatic colorectal cancer (mCRC): personalized medicine at work. Hematol Oncol Clin North Am. 2015;29(1):43–60.
   PubMed Web of Science ®Google Scholar
• Henny J. Interpretation of laboratory results: the reference intervals, a necessary evil? Clin Chem Lab Med 2007;45:939–941.
   PubMed Web of Science ®Google Scholar
• Ceriotti F, Henny J. “Are my laboratory results normal?” considerations to be made concerning reference intervals and decision limits. EJIFCC. 2008;19:106–114.
   PubMedGoogle Scholar
• Makary MA, Daniel M. Medical error - the third leading cause of death in the US. BMJ. 2016;353:i2139.
   PubMed Web of Science ®Google Scholar
• Institute of Medicine (US) Committee on Quality of Health Care in America. To err is human: building a safer health system. In: Kohn LT, Corrigan JM, Donaldson MS, editors. Washington (D.C.): National Academies Press; 2000.
   Google Scholar
• Prodan Žitnik I, Černe D, Mancini I, et al., on behalf of EFLM/ESPT Working Group of Personalised Laboratory Medicine. Personalized laboratory medicine: a patient-centered future approach. Clin Chem Lab Med. 2018;56(12):1981–1991.
   PubMed Web of Science ®Google Scholar
• Topol EJ. High-performance medicine: the convergence of human and artificial intelligence. Nat Med. 2019;25(1):44–56.
   PubMed Web of Science ®Google Scholar
• Fraser CG. Biological variation: from principles to practice. Washington (DC): AACC Press; 2001.
   Google Scholar
• Sikaris KA. Enhancing the clinical value of medical laboratory testing. Clin Biochem Rev. 2017;38(3):107–114.
   PubMedGoogle Scholar
• Flatman R. Terminology, units and reporting - how harmonized do we need to be? Clin Chem Lab Med. 2018;57(1):1–11.
   PubMed Web of Science ®Google Scholar
• CLSI. Defining, establishing and verifying reference intervals in the clinical laboratory: approved guideline-third edition. CLSI document EP28-A3C. Wayne (PA): Clinical and Laboratory Standard Institute; 2008.
   Google Scholar
• Gräsbeck R, Saris NE. Establishment and use of normal values. Scand J Clin Lab Invest. 1969;110:62–63.
   Google Scholar
• Gräsbeck R, Fellman J. Normal values and statistics. Scand J Clin Lab Invest. 1968;21(3):193–195.
   PubMed Web of Science ®Google Scholar
• Gräsbeck R. The evolution of the reference value concept. Clin Chem Lab Med. 2004;42(7):692–697.
   PubMed Web of Science ®Google Scholar
• Dybkaer R, Gräsbeck R. Editorial: theory of reference values. Scand J Clin Lab Invest. 1973;32(1):1–7.
   PubMed Web of Science ®Google Scholar
• Haeckel R, Wosniok W, Streichert T. The difference between reference interval and reference range. J Lab Med. 2020;44(3):173–173.
   Web of Science ®Google Scholar
• Sunderman FW. Current concepts of normal values, reference values, and discrimination values in clinical chemistry. Clin Chem. 1975;21(13):1873–1877.
   PubMed Web of Science ®Google Scholar
• Coşkun A, Sandberg S, Unsal I, et al. Personalized reference intervals in laboratory medicine: a new model based on within-subject biological Variation. Clin Chem. 2021;67(2):374–384.
   PubMed Web of Science ®Google Scholar
• Delanry MP, Price CP, Lamb EJ. Kidney disease. In: Burtis CA, Ashwood ER, Bruns DE, editors. Tietz textbook of clinical chemistry and molecular diagnostics. 5th edition. St. Louis: Elsevier; 2012. p. 523–608.
   Google Scholar
• Risteli J, Winter WE, Kleerekoper MRL. Bone and mineral metabolism. In: Burtis CA, Ashwood ER, Bruns DE, editors. Tietz textbook of clinical chemistry and molecular diagnostics. 5th edition. St. Louis: Elsevier; 2012. p. 1733–1801.
   Google Scholar
• Sacks DB. Carbohydrates. In: Burtis CA, Ashwood ER, Bruns DE, eds. Tietz textbook of clinical chemistry and molecular diagnostics. 5th edition. St. Louis: Elsevier; 2012. p. 709–730.
   Google Scholar
• Röder PV, Wu B, Liu Y, et al. Pancreatic regulation of glucose homeostasis. Exp Mol Med. 2016;48:e219.
   PubMed Web of Science ®Google Scholar
• Arens MA. Normal hemoglobin values for young women. Am J Med Technol. 1945;11:249–255.
   PubMedGoogle Scholar
• Siest G, Henny J, Gräsbeck R, et al. The theory of reference values: an unfinished symphony. Clin Chem Lab Med. 2013;51(1):47–64.
   PubMed Web of Science ®Google Scholar
• Horn PS, Pesce AJ. Reference intervals: an update. Clin Chim Acta. 2003;334(1–2):5–23.
   PubMed Web of Science ®Google Scholar
• Rustad P, Felding P, Lahti A, Nordic Reference Interval Project 2000. Proposal for guidelines to establish common biological reference intervals in large geographical areas for biochemical quantities measured frequently in serum and plasma. Clin Chem Lab Med. 2004;42(7):783–791.
   PubMed Web of Science ®Google Scholar
• Young DS. Determination and validation of reference intervals. Arch Pathol Lab Med. 1992;116(7):704–709.
   PubMed Web of Science ®Google Scholar
• Coskun A, Ceyhan E, Inal TC, et al. The comparison of parametric and nonparametric bootstrap methods for reference interval computation in small sample size groups. Accred Qual Assur. 2013;18(1):51–60.
   Web of Science ®Google Scholar
• Horn PS, Pesce AJ. Effect of ethnicity on reference intervals. Clin Chem. 2002;48(10):1802–1804.
   PubMed Web of Science ®Google Scholar
• Rappoport N, Paik H, Oskotsky B, et al. Comparing ethnicity-specific reference intervals for clinical laboratory tests from EHR Data. J Appl Lab Med. 2018;3(3):366–377.
   PubMedGoogle Scholar
• La'ulu SL, Roberts WL. Second-trimester reference intervals for thyroid tests: the role of ethnicity. Clin Chem. 2007;53(9):1658–1664.
   PubMed Web of Science ®Google Scholar
• Bright M, Wagman E, Shastri S, et al. Race-related differences in reference intervals for creatine kinase. Clin Chem. 1980;26(13):1928–1928.
   PubMed Web of Science ®Google Scholar
• Lim EM, Cembrowski G, Cembrowski M, et al. Race-specific WBC and neutrophil count reference intervals. Int J Lab Hematol. 2010;32(6p2):590–597.
   PubMedGoogle Scholar
• Schini M, Nicklin P, Eastell R. Establishing race-, gender- and age-specific reference intervals for pyridoxal 5’-phosphate in the NHANES population to better identify adult hypophosphatasia. Bone. 2020;141:115577.
   PubMed Web of Science ®Google Scholar
• Coates S, Wang D, Pierscionek T, et al. Time- and race-specific haematological reference intervals for healthy volunteer trials: a retrospective analysis of pooled data from multiple phase I Trials. Front Pharmacol. 2020;11:314.
   PubMed Web of Science ®Google Scholar
• Sinton TJ, Cowley DM, Bryant SJ. Reference intervals for calcium, phosphate, and alkaline phosphatase as derived on the basis of multichannel-analyzer profiles. Clin Chem. 1986;32(1 Pt 1):76–79.
   PubMed Web of Science ®Google Scholar
• Harris EK, Wong ET, Shaw ST. Jr. Statistical criteria for separate reference intervals: race and gender groups in creatine kinase. Clin Chem. 1991;37(9):1580–1582.
   PubMed Web of Science ®Google Scholar
• Lahti A. Are the common reference intervals truly common? Case studies on stratifying biochemical reference data by countries using two partitioning methods. Scand J Clin Lab Invest. 2004;64(4):407–430.
   PubMed Web of Science ®Google Scholar
• Lahti A, Petersen PH, Boyd JC, et al. Partitioning of nongaussian-distributed biochemical reference data into subgroups. Clin Chem. 2004;50(5):891–900.
   PubMed Web of Science ®Google Scholar
• Lahti A. Partitioning biochemical reference data into subgroups: comparison of existing methods. Clin Chem Lab Med. 2004;42(7):725–733.
   PubMed Web of Science ®Google Scholar
• Harris EK, Boyd JC. On dividing reference data into subgroups to produce separate reference ranges. Clin Chem. 1990;36(2):265–270.
   PubMed Web of Science ®Google Scholar
• Bevilacqua V, Chan MK, Chen Y, et al. Pediatric population reference value distributions for cancer biomarkers and covariate-stratified reference intervals in the CALIPER cohort. Clin Chem. 2014;60(12):1532–1542.
   PubMed Web of Science ®Google Scholar
• Lundberg GD. Critical (panic) value notification: an established laboratory practice policy (parameter). JAMA. 1990;263(5):709.
   PubMed Web of Science ®Google Scholar
• Hortin GL, Csako G. Critical values, panic values, or alert values? Am J Clin Pathol. 1998;109(4):496–498.
   PubMedGoogle Scholar
• Piva E, Plebani M. From “panic” to “critical” values: which path toward harmonization? Clin Chem Lab Med. 2013;51(11):2069–2071.
   PubMed Web of Science ®Google Scholar
• White GH, Campbell CA, Horvath AR. Is this a critical, panic, alarm, urgent, or markedly abnormal result? Clin Chem. 2014;60(12):1569–1570.
   PubMed Web of Science ®Google Scholar
• Ozarda Y, Sikaris K, Streichert T, IFCC Committee on Reference Intervals and Decision Limits (C-RIDL), et al. Distinguishing reference intervals and clinical decision limits – a review by the IFCC Committee on Reference Intervals and Decision Limits. Crit Rev Clin Lab Sci. 2018;55(6):420–431.
   PubMed Web of Science ®Google Scholar
• Bittl JA, He Y. Bayesian analysis: a practical approach to interpret clinical trials and create clinical practice guidelines. Circ Cardiovasc Qual Outcomes. 2017;10(8):e003563.
   PubMed Web of Science ®Google Scholar
• Kallner A. Bayes' theorem, the ROC diagram and reference values: definition and use in clinical diagnosis. Biochem Med (Zagreb). 2018;28(1):010101.
   PubMed Web of Science ®Google Scholar
• Ceriotti F. Prerequisites for use of common reference intervals. Clin Biochem Rev. 2007;28(3):115–121.
   PubMedGoogle Scholar
• Aarsand AK, Fernandez-Calle P, Webster C, et al. The EFLM biological variation database. 2020 [cited 2021 Dec 27]. Available from: https://biologicalvariation.eu.
   Google Scholar
• Boyd JC. Cautions in the adoption of common reference intervals. Clin Chem. 2008;54(2):238–239.
   PubMed Web of Science ®Google Scholar
• Keys A. Biochemical individuality – the basis for the genetotrophic concept. Am J Public Health Nations Health. 1957;47(6):767.
   Web of Science ®Google Scholar
• Cotlove E, Harris EK, Williams GZ. Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. 3. Physiological and medical implications. Clin Chem. 1970;16(12):1028–1032.
   PubMed Web of Science ®Google Scholar
• Young DS, Harris EK, Cotlove E. Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. IV. Results of a study designed to eliminate long-term analytic deviations. Clin Chem. 1971;17(5):403–410.
   PubMed Web of Science ®Google Scholar
• Harris EK, Kanofsky P, Shakarji G, et al. Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. II. Estimating biological components of variation. Clin Chem. 1970;16(12):1022–1027.
   PubMed Web of Science ®Google Scholar
• Williams GZ, Young DS, Stein MR, et al. Biological and analytic components of variation in long-term studies of serum constituents in normal subjects. I. Objectives, subject selection, laboratory procedures, and estimation of analytic deviation. Clin Chem. 1970;16(12):1016–1021.
   PubMed Web of Science ®Google Scholar
• Harris EK. Some theory of reference values. II. Comparison of some statistical models of intraindividual variation in blood constituents. Clin Chem. 1976;22(8):1343–1350.
   PubMed Web of Science ®Google Scholar
• Harris EK. Some theory of reference values. I. Stratified (categorized) normal ranges and a method for following an individual’s clinical laboratory values. Clin Chem. 1975;21(10):1457–1464.
   PubMed Web of Science ®Google Scholar
• Harris EK. Effects of intra- and interindividual variation on the appropriate use of normal ranges. Clin Chem. 1974;20(12):1535–1542.
   PubMed Web of Science ®Google Scholar
• Queraltó JM. Intraindividual reference values. Clin Chem Lab Med. 2004;42(7):765–777.
   PubMed Web of Science ®Google Scholar
• Coskun A, Sandberg S, Unsal I, et al. Personalized reference intervals - statistical approaches and considerations. Clin Chem Lab Med. 2022;60(4):629–635.
   PubMed Web of Science ®Google Scholar
• d’Hauterive SP, Close R, Gridelet V, et al. Human chorionic gonadotropin and early embryogenesis: review. IJMS. 2022;23(3):1380.
   Google Scholar
• Causton HC. Metabolic rhythms: a framework for coordinating cellular function. Eur J Neurosci. 2020;51(1):1–12.
   PubMed Web of Science ®Google Scholar
• Prendergast BJ, Zucker I. Ultradian rhythms in mammalian physiology and behavior. Curr Opin Neurobiol. 2016;40:150–154.
   PubMed Web of Science ®Google Scholar
• Kumar Jha P, Challet E, Kalsbeek A. Circadian rhythms in glucose and lipid metabolism in nocturnal and diurnal mammals. Mol Cell Endocrinol. 2015;418:74–88.
   PubMed Web of Science ®Google Scholar
• Feriel J, Tchipeva D, Depasse F. Effects of circadian variation, lifestyle and environment on hematological parameters: a narrative review. Int J Lab Hematol. 2021;43(5):917–926.
   PubMed Web of Science ®Google Scholar
• Laerum OD, Smaaland R. Circadian and infradian aspects of the cell cycle: from past to future. Chronobiologia. 1989;16(4):441–453.
   PubMedGoogle Scholar
• Carobene A. Reliability of biological variation data available in an online database: need for improvement. Clin Chem Lab Med. 2015;53:871–877.
   PubMed Web of Science ®Google Scholar
• Aarsand AK, Røraas T, Sandberg S. Biological variation – reliable data is essential. Clin Chem Lab Med. 2015;53(2):153–154.
   PubMed Web of Science ®Google Scholar
• Carobene A, Strollo M, Jonker N, et al. Sample collections from healthy volunteers for biological variation estimates’ update: a new project undertaken by the working group on biological variation established by the European Federation of Clinical Chemistry and Laboratory Medicine. Clin Chem Lab Med. 2016;54:1599–1608.
   PubMed Web of Science ®Google Scholar
• Carobene A, Aarsand AK, Bartlett WA, et al. The European Biological Variation Study (EuBIVAS): a summary report. Clin Chem Lab Med. 2022;60(4):505–517.
   PubMed Web of Science ®Google Scholar
• Aarsand AK, Røraas T, Fernandez-Calle P, European Federation of Clinical Chemistry and Laboratory Medicine Working Group on Biological Variation and Task and Finish Group for the Biological Variation Database, et al. The biological variation data critical appraisal checklist: a standard for evaluating studies on biological variation. Clin Chem. 2018;64(3):501–514.
   PubMed Web of Science ®Google Scholar
• Aarsand AK, Røraas T, Bartlett WA, European Federation of Clinical Chemistry and Laboratory Medicine (EFLM) Working Group on Biological Variation, et al. Harmonization initiatives in the generation, reporting and application of biological variation data. Clin Chem Lab Med. 2018;56(10):1629–1636.
   PubMed Web of Science ®Google Scholar
• Røraas T, Sandberg S, Aarsand AK, et al. A Bayesian approach to biological variation analysis. Clin Chem. 2019;65(8):995–1005.
   PubMed Web of Science ®Google Scholar
• Røraas T, Petersen PH, Sandberg S. Confidence intervals and power calculations for within-person biological variation: effect of analytical imprecision, number of replicates, number of samples, and number of individuals. Clin Chem. 2012;58(9):1306–1313.
   PubMed Web of Science ®Google Scholar
• Røraas T, Støve B, Petersen PH, et al. Biological variation: the effect of different distributions on estimated within-person variation and reference change values. Clin Chem. 2016;62(5):725–736.
   PubMed Web of Science ®Google Scholar
• Ma C, Cheng X, Xue F, et al. Validation of an approach using only patient big data from clinical laboratories to establish reference intervals for thyroid hormones based on data mining. Clin Biochem. 2020;80:25–30.
   PubMed Web of Science ®Google Scholar
• den Elzen WPJ, Brouwer N, Thelen MH, et al. NUMBER: standardized reference intervals in The Netherlands using a “ 'big data' approach”. Clin Chem Lab Med. 2018;57(1):42–56.
   PubMed Web of Science ®Google Scholar
• Ma C, Xia L, Chen X, et al. Establishment of variation source and age-related reference interval models for 22 common biochemical analytes in older people using real-world big data mining. Age Ageing. 2020;49(6):1062–1070.
   PubMed Web of Science ®Google Scholar
• Arzideh F, Wosniok W, Gurr E, et al. A plea for intra-laboratory reference limits. Part 2. A bimodal retrospective concept for determining reference limits from intra-laboratory databases demonstrated by catalytic activity concentrations of enzymes. Clin Chem Lab Med. 2007;45(8):1043–1057.
   PubMed Web of Science ®Google Scholar
• Haeckel R, Wosniok W, Arzideh F. A plea for intra-laboratory reference limits. Part 1. General considerations and concepts for determination. Clin Chem Lab Med. 2007;45(8):1033–1042.
   PubMed Web of Science ®Google Scholar
• Jones GRD. Estimates of within-subject biological variation derived from pathology databases: an approach to allow assessment of the effects of age, sex, time between sample collections, and analyte concentration on reference change values. Clin Chem. 2019;65(4):579–588.
   PubMed Web of Science ®Google Scholar
• Adeli K, Higgins V, Seccombe D, CSCC Reference Interval Harmonization (hRI) Working Group, et al. National survey of adult and pediatric reference intervals in clinical laboratories across Canada: a report of the CSCC working group on reference interval Harmonization. Clin Biochem. 2017;50(16-17):925–935.
   PubMed Web of Science ®Google Scholar
• Chan MK, Seiden-Long I, Aytekin M, et al. Canadian laboratory initiative on pediatric reference interval database (CALIPER): pediatric reference intervals for an integrated clinical chemistry and immunoassay analyzer, Abbott ARCHITECT ci8200. Clin Biochem. 2009;42(9):885–891.
   PubMed Web of Science ®Google Scholar
• Loh TP, Metz MP. Indirect estimation of pediatric between-individual biological variation data for 22 common serum biochemistries. Am J Clin Pathol. 2015;143(5):683–693.
   PubMed Web of Science ®Google Scholar
• 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(5):657–663.
   PubMed Web of Science ®Google Scholar
• Baadenhuijsen H, Smit JC. Indirect estimation of clinical chemical reference intervals from total hospital patient data: application of a modified Bhattacharya procedure. Clin Chem Lab Med. 1985;23:829–840.
   Google Scholar
• Ma X, Yan H, Zhang H, et al. Progress in the seasonal variations of blood lipids: a mini-review. Lipids Health Dis. 2020;19(1):108.
   PubMed Web of Science ®Google Scholar
• Brouwer-Brolsma EM, Vaes AMM, van der Zwaluw NL, et al. Relative importance of summer sun exposure, vitamin D intake, and genes to vitamin D status in Dutch older adults: the B-PROOF study. J Steroid Biochem Mol Biol. 2016;164:168–176.
   PubMed Web of Science ®Google Scholar
• Saeidlou SN, Vahabzadeh D, Babaei F, et al. Seasonal variations of vitamin D and its relation to lipid profile in iranian children and adults. J Health Popul Nutr. 2017;36(1):21.
   PubMedGoogle Scholar
• Dean RB, Dixon WJ. Simplified statistics for small numbers of observations. Anal. Chem. 1951;23(4):636–638.
   Web of Science ®Google Scholar
• Efstathiou CE. Estimation of type I error probability from experimental ze data sets“Q” parameter on testing for outliers within small size data. Talanta. 2006;69(5):1068–1071.
   PubMed Web of Science ®Google Scholar
• Xu J, Lin Y, Yang M, et al. Statistics and pitfalls of trend analysis in cancer research: a review focused on statistical packages. J Cancer. 2020;11(10):2957–2961.
   PubMed Web of Science ®Google Scholar
• Eberly LE. Correlation and simple linear regression. Methods Mol Biol. 2007;404:143–164.
   PubMedGoogle Scholar
• Leatherbarrow RJ. Using linear and non-linear regression to fit biochemical data. Trends Biochem Sci. 1990;15(12):455–458.
   PubMed Web of Science ®Google Scholar
• Drescher CW, Shah C, Thorpe J, et al. Longitudinal screening algorithm that incorporates change over time in CA125 levels identifies ovarian cancer earlier than a single-threshold rule. J Clin Oncol. 2013;31(3):387–392.
   PubMed Web of Science ®Google Scholar
• Taylor BN, Kuyatt CE. NIST Technical Note 1297. Guidelines for evaluation and expressing the uncertainty of NIST measurement results. Gaithersburg (MD); National Institute of Standards and Technology; 1994.
   Google Scholar
• Spence JR, Stanley DJ. Prediction interval: what to expect when you're expecting … a replication. PLOS One. 2016;11(9):e0162874.
   PubMed Web of Science ®Google Scholar
• Hahn GJ, Meeker WQ, Escobar LA. Statistical intervals: a guide for practitioners and researchers. 2nd edition. Hoboken (NJ): Wiley; 2016; p. 47–99.
   Google Scholar
• Raqab MZ, Balakrishnan N. Prediction intervals for future records. Stat Probab Lett. 2008;78(13):1955–1963.
   Web of Science ®Google Scholar
• Hall IJ, Prairie RR, Motlagh CK. Non-parametric prediction intervals. J Qual Technol. 1975;7(3):109–114.
   Google Scholar
• Nandram B, Yin J. A nonparametric bayesian prediction interval for a finite population mean. J Stat Comput Simul. 2016;86(16):3141–3157.
   Web of Science ®Google Scholar
• Coskun A, Sandberg S, Unsal I, et al. Personalized reference intervals: Using estimates of within-subject or within-person biological variation requires different statistical approaches. Clin Chim Acta. 2022;524:201–202.
   PubMed Web of Science ®Google Scholar
• Gkisser S. Predictive inference: an introduction. London, UK: Chapman and Hall; 1993. p. 6–46.
   Google Scholar
• Petersen PH, Fraser CG, Sandberg S, et al. The index of individuality is often a misinterpreted quantity characteristic. Clin Chem Lab Med. 1999;37(6):655–661.
   PubMed Web of Science ®Google Scholar
• 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(2):160–165.
   PubMed Web of Science ®Google Scholar
• Wang S, Zhao M, Su Z, et al. Annual biological variation and personalized reference intervals of clinical chemistry and hematology analytes. Clin Chem Lab Med. 2022;1560(4):606–617.
   PubMed Web of Science ®Google Scholar
• Bulliard JL, Chiolero A. Screening and overdiagnosis: public health implications. Public Health Rev. 2015;36:8.
   PubMedGoogle Scholar
• Fraser CG. Age-related changes in laboratory test results. Drugs Aging. 1993;33:246–257.
   Google Scholar
• Chia CW, Egan JM, Ferrucci L. Age-related changes in glucose metabolism, hyperglycemia, and cardiovascular risk. Circ Res. 2018;123(7):886–904.
   PubMed Web of Science ®Google Scholar
• Noordam R, Gunn DA, Tomlin CC, Leiden Longevity Study Group, et al. High serum glucose levels are associated with a higher perceived age. Age. 2013;35(1):189–195.
   PubMedGoogle Scholar
• Ko GTC, Wai HPS, Tang JSF. Effects of age on plasma glucose levels in non-diabetic Hong Kong Chinese. Croat Med J. 2006;47:709–713.
   PubMed Web of Science ®Google Scholar
• Elahi D, Muller DC. Carbohydrate metabolism in the elderly. Eur J Clin Nutr. 2000;54(S3):S112–S120.
   PubMedGoogle Scholar
• Rabah DM, Farhat KH, Al-Atawi MA, et al. Age-specific reference ranges of prostate-specific antigen among Saudi men as a representation of the Arab population. Med Princ Pract. 2019;28(3):242–246.
   PubMed Web of Science ®Google Scholar
• Morgan TO, Jacobsen SJ, McCarthy WF, et al. Age-specific reference ranges for serum prostate-specific antigen in black men. N Engl J Med. 1996;335(5):304–310.
   PubMed Web of Science ®Google Scholar
• Marcus R, Madvig P, Young G. Age-related changes in parathyroid hormone and parathyroid hormone action in normal humans. J Clin Endocrinol Metab. 1984;58(2):223–230.
   PubMed Web of Science ®Google Scholar
• Need AG, O’Loughlin PD, Morris HA, et al. The effects of age and other variables on serum parathyroid hormone in postmenopausal women attending an osteoporosis center. J Clin Endocrinol Metab. 2004;89(4):1646–1649.
   PubMed Web of Science ®Google Scholar
• Yamashita N, Oba K, Nakano H, et al. Age-related changes in concentrations of ferritin, glyeosylated ferritin, and non-glycosylated ferritin. Jpn J Geriat. 1996;33(10):754–760.
   PubMedGoogle Scholar
• Kuzuya M, Ando F, Iguchi A, et al. Effect of aging on serum uric acid levels: longitudinal changes in a large Japanese population group. J Gerontol. 2002;57:660–664.
   Google Scholar
• Baudry J, Kopp JF, Boeing H, et al. Changes of trace element status during aging: results of the EPIC-Potsdam cohort study. Eur J Nutr. 2020;59(7):3045–3058.
   PubMed Web of Science ®Google Scholar
• Felicetta JV. Age-related changes in calcium metabolism. Why they occur and what can be done. Postgrad Med. 1989;85(4):85–94.
   PubMed Web of Science ®Google Scholar
• Veldurthy V, Wei R, Oz L, et al. Vitamin D, calcium homeostasis and aging. Bone Res. 2016;4(1):1–7.
   Google Scholar
• Barbagallo M, Belvedere M, Dominguez LJ. Magnesium homeostasis and aging. Magnes Res. 2009;22(4):235–246.
   PubMed Web of Science ®Google Scholar
• Ashpole NM, Sanders JE, Hodges EL, et al. Growth hormone, insulin-like growth factor-1 and the aging brain. Exp Gerontol. 2015;68:76–81.
   PubMed Web of Science ®Google Scholar
• Liu PY, Beilin J, Meier C, et al. Age-related changes in serum testosterone and sex hormone binding globulin in australian men: Longitudinal analyses of two geographically separate regional cohorts. J Clin Endocrinol Metab. 2007;92(9):3599–3603.
   PubMed Web of Science ®Google Scholar
• McEwen BS. Allostasis and allostatic load: Implications for neuropsychopharmacology. Neuropsychopharmacology. 2000;22(2):108–124.
   PubMed Web of Science ®Google Scholar
• Leow MK, Goede SL. The homeostatic set point of the hypothalamus-pituitary-thyroid axis-maximum curvature theory for personalized euthyroid targets. Theor Biol Med Model. 2014;11:35.
   PubMed Web of Science ®Google Scholar
• Selye H. Homeostasis and heterostasis. Perspect Biol Med. 1973;16(3):441–445.
   PubMed Web of Science ®Google Scholar
• Carobene A, Banfi G, Locatelli M, et al. Personalized reference intervals: from the statistical significance to the clinical usefulness. Clin Chim Acta. 2022;524:203–204.
   PubMed Web of Science ®Google Scholar
• Carobene A, Banfi G, Locatelli M, et al. Within-person biological variation estimates from the European Biological Variation Study (EuBIVAS) for serum potassium and creatinine used to obtain personalized reference intervals. Clin Chim Acta. 2021;523:205–207.
   PubMed Web of Science ®Google Scholar
• Yang Q, Lew HY, Peh RH, et al. An automated and objective method for age partitioning of reference intervals based on continuous centile curves. Pathology. 2016;48(6):581–585.
   PubMed Web of Science ®Google Scholar
• Shirts BH, Wilson AR, Jackson BR. Partitioning reference intervals by use of genetic information. Clin Chem. 2011;57(3):475–481.
   PubMed Web of Science ®Google Scholar
• Adeli K, Higgins V, Nieuwesteeg M, et al. Complex reference values for endocrine and special chemistry biomarkers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem. 2015;61(8):1063–1074.
   PubMed Web of Science ®Google Scholar
• Ma C, Wang X, Xia L, et al. Effect of sample size and the traditional parametric, nonparametric, and robust methods on the establishment of reference intervals: evidence from real world data. Clin Biochem. 2021;92:67–70.
   PubMed Web of Science ®Google Scholar
• Adeli K, Higgins V, Nieuwesteeg M, et al. Biochemical marker reference values across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem. 2015;61(8):1049–1062.
   PubMed Web of Science ®Google Scholar
• Adeli K, Raizman JE, Chen Y, et al. Complex biological profile of hematologic markers across pediatric, adult, and geriatric ages: establishment of robust pediatric and adult reference intervals on the basis of the Canadian Health Measures Survey. Clin Chem. 2015;61(8):1075–1086.
   PubMed Web of Science ®Google Scholar