| Literature DB >> 23175191 |
Rachel Dankner1, Michael Bergman, Ann Danoff, Sana Qureshi, Ian Whitford, Nargess Kaviani, Yevgeniya Dynkevich, Jesse Roth.
Abstract
HbA(1c) testing has become an accepted means of diagnosing diabetes as an alternative to blood glucose levels. However, population-based norms of glucose and of HbA(1c) levels do not enable the detection of diabetes at an early enough stage to thwart complications. Personal trajectories of glucose levels show steep increases a number of years prior to diabetes diagnosis. Here, we hypothesize that a comparable time-dependent deviation in an individual's HbA(1c) level may be an early manifestation of disease that should prompt lifestyle modifications. We predict that analysis of personal trajectories of glucose and of HbA(1c) will promote earlier intervention and a greater reduction in disease complications than current standards, which are based on population-based norms.Entities:
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Year: 2013 PMID: 23175191 DOI: 10.1002/dmrr.2373
Source DB: PubMed Journal: Diabetes Metab Res Rev ISSN: 1520-7552 Impact factor: 4.876