Bello, G. A. | bioRxiv Science

bioRxiv2017

Association of a biomarker-based frailty index with telomere length in older US adults: Findings from NHANES 1999-2002

ObjectivesTo study the link between frailty and cellular senescence, we examine the association of leukocyte telomere length (LTL) with a recently introduced measure of subclinical frailty that is based entirely on laboratory test biomarkers (FI-LAB).\n\nMethodsThis study was conducted on a random sample of 1890 Americans aged 60+. Multiple Linear Regression was used to examine the relationship between FI-LAB and LTL.\n\nResultsA statistically significant association was found between FI-LAB and LTL after adjusting for multiple covariates, indicating that higher FI-LAB scores are associated with shorter telomeres.\n\nDiscussionOur study results establish a link between subclinical frailty (FI-LAB) and cellular aging, which may help elucidate the pathophysiological mechanisms giving rise to frailty.

epidemiology↗

bioRxiv2016

The Utility of Red Cell Distribution Width as a Parameter for Calculating Indices of Allostatic Load

BackgroundAllostatic Load is a construct used to quantify the cumulative burden of exposure to stressors that, over the course of an individuals life, exert a toll on the bodys physiological functions, increasing risks of various chronic ailments and conditions. Studies attempting to quantify allostatic load have used a variety of clinical biomarkers representing primary and secondary mediators. In this study, we demonstrate the value of including red blood cell distribution width (RDW) among the panel of clinical parameters used to calculate allostatic load.\n\nMethodsWe develop a novel formulation of allostatic load using RDW and other standard biomarkers. This index is computed using clinical laboratory data from the NHANES study. The predictive validity of the new index for tertiary outcomes (all-cause mortality and physician-assessed health status) is compared to that of the current formulation using Harrells C index, ROC analysis and regression-based goodness-of-fit measures.\n\nResultsInclusion of RDW as an allostatic load biomarker yields a significantly improved index. It demonstrates a superior ability to predict mortality, health status and biological age than the standard formulation currently in use.\n\nConclusionRDW has shown strong correlations with mortality and a broad spectrum of diseases. A review of the existing literature on allostatic load reveals its underutilization in this area, despite being a standard component of blood count panels. This study is the first to demonstrate its usefulness as a potential allostatic load biomarker.

epidemiology↗