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Haematological Setpoints Are a Stable and Patient-specific Deep Phenotype

Abstract

The complete blood count (CBC) is an important screening tool for healthy adults and a common test at periodic exams. However, results are usually interpreted relative to one-size-fits-all reference intervals, undermining the precision medicine goal to tailor care for patients on the basis of their unique characteristics. Here we study thousands of diverse patients at an academic medical centre and show that routine CBC indices fluctuate around stable values or setpoints, and setpoints are patient-specific, with the typical healthy adult's nine CBC setpoints distinguishable as a group from those of 98% of other healthy adults, and setpoint differences persist for at least 20 years. Haematological setpoints reflect a deep physiologic phenotype enabling investigation of acquired and genetic determinants of haematological regulation and its variation among healthy adults. Setpoints in apparently healthy adults were associated with significant variation in clinical risk: absolute risk of some common diseases and morbidities varied by more than 2% (heart attack and stroke, diabetes, kidney disease, osteoporosis), and absolute risk of all-cause 10 year mortality varied by more than 5%. Setpoints also define patient-specific reference intervals and personalize the interpretation of subsequent test results. In retrospective analysis, setpoints improved sensitivity and specificity for evaluation of some common conditions including diabetes, kidney disease, thyroid dysfunction, iron deficiency and myeloproliferative neoplasms. This study shows CBC setpoints are sufficiently stable and patient-specific to help realize the promise of precision medicine for healthy adults.

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References
1.
Harris E, Yasaka T . On the calculation of a "reference change" for comparing two consecutive measurements. Clin Chem. 1983; 29(1):25-30. View

2.
Jameson J, Longo D . Precision medicine--personalized, problematic, and promising. N Engl J Med. 2015; 372(23):2229-34. DOI: 10.1056/NEJMsb1503104. View

3.
Collins F, Varmus H . A new initiative on precision medicine. N Engl J Med. 2015; 372(9):793-5. PMC: 5101938. DOI: 10.1056/NEJMp1500523. View

4.
Horton S, Fleming K, Kuti M, Looi L, Pai S, Sayed S . The Top 25 Laboratory Tests by Volume and Revenue in Five Different Countries. Am J Clin Pathol. 2018; 151(5):446-451. DOI: 10.1093/ajcp/aqy165. View

5.
Fraser C . Reference change values. Clin Chem Lab Med. 2011; 50(5):807-12. DOI: 10.1515/CCLM.2011.733. View