Citation: Diabetes Technology & Therapeutics. 15(2):117-23, 2013 Feb..Journal: Diabetes; Diabetes technology & therapeutics.ISSN: 1520-9156.Full author list: Aroda VR; Conway BN; Fernandez SJ; Matter NI; Maynard JD; Orchard TJ; Ratner RE.UI/PMID: 23305087.Subject(s): *Diabetes Mellitus, Type 1/me [Metabolism] | *Forearm/pa [Pathology] | *Glycosylation End Products, Advanced/me [Metabolism] | *Hemoglobin A, Glycosylated/me [Metabolism] | *Skin/me [Metabolism] | *Spectrometry, Fluorescence/mt [Methods] | Biological Markers/me [Metabolism] | Blood Glucose/me [Metabolism] | Cross-Sectional Studies | Female | Humans | Male | Optical Imaging | Predictive Value of TestsInstitution(s): MedStar Health Research Institute | MedStar Heart & Vascular InstituteActivity type: Journal Article.Medline article type(s): Journal Article | Research Support, N.I.H., Extramural | Research Support, Non-U.S. Gov'tDigital Object Identifier: http://dx.doi.org/10.1089/dia.2012.0211 (Click here)Abbreviated citation: Diabetes Technol Ther. 15(2):117-23, 2013 Feb.Abstract: BACKGROUND: This study evaluated the relationship between skin intrinsic fluorescence (SIF) and long-term mean hemoglobin A1c (HbA1c) in individuals with type 1 diabetes.Abstract: CONCLUSIONS: Noninvasive detection of SIF significantly correlates with long-term mean HbA1c, providing insight into long-term glycemic exposure. Age, duration of diabetes, and renal function are potential contributors to this relationship.Abstract: RESULTS: Age-adjusted skin intrinsic fluorescence significantly correlated with long-term mean HbA1c (R=0.44, P<0.0001). In contrast, there was no significant relationship between SIF and most recent HbA1c (R=0.14, P=0.075). The best-fit model describing the relationship between SIF and mean HbA1c controlled for factors of age, duration of disease, renal function, and site of study conduct. Controlling for these factors was also important in understanding the relationship between most recent HbA1c and SIF. Evaluating longer-term HbA1c data also strengthened the relationship between SIF and mean HbA1c. In the presence of renal dysfunction or damage, as indicated by an estimated glomerular filtration rate of <60mL/min/1.73m2 or presence of gross proteinuria, there was no significant correlation between SIF and mean HbA1c.Abstract: SUBJECTS AND METHODS: We undertook a cross-sectional analysis of 172 individuals with type 1 diabetes followed longitudinally with HbA1c data available over an average of 16.6 years. SIF was evaluated cross-sectionally using the SCOUT DS device (VeraLight Inc., Albuquerque, NM) and correlated with most recent HbA1c and long-term mean HbA1c. Potential determinants of this relationship, including age, gender, smoking status, duration of diabetes, and renal function, were also evaluated.