Statistical distance as a measure of physiological dysregulation is largely robust to variation in its biomarker composition.

ABSTRACT: Physiological dysregulation may underlie aging and many chronic diseases, but is challenging to quantify because of the complexity of the underlying systems. Recently, we described a measure of physiological dysregulation, DM, that uses statistical distance to assess the degree to which an individual's biomarker profile is normal versus aberrant. However, the sensitivity of DM to details of the calculation method has not yet been systematically assessed. In particular, the number and choice of biomarkers and the definition of the reference population (RP, the population used to define a "normal" profile) may be important. Here, we address this question by validating the method on 44 common clinical biomarkers from three longitudinal cohort studies and one cross-sectional survey. DMs calcul

SUBMITTER: Cohen AA 

PROVIDER: S-EPMC4395377 | biostudies-literature | 2015

REPOSITORIES: biostudies-literature