June 2015
Volume 56, Issue 7
Free
ARVO Annual Meeting Abstract  |   June 2015
Ultra-Structural SDOCT changes in patients with DMI and preclinical diseases
Author Affiliations & Notes
  • Nicole Mendez
    Ophthalmology and Visual Science, Rutgers New Jersey Medical School, Newark, NJ
  • Saysha Blazier
    Ophthalmology and Visual Science, Rutgers New Jersey Medical School, Newark, NJ
  • Bernard C Szirth
    Ophthalmology and Visual Science, Rutgers New Jersey Medical School, Newark, NJ
  • Albert S Khouri
    Ophthalmology and Visual Science, Rutgers New Jersey Medical School, Newark, NJ
  • Footnotes
    Commercial Relationships Nicole Mendez, None; Saysha Blazier, None; Bernard Szirth, None; Albert Khouri, None
  • Footnotes
    Support None
Investigative Ophthalmology & Visual Science June 2015, Vol.56, 602. doi:
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    • Get Citation

      Nicole Mendez, Saysha Blazier, Bernard C Szirth, Albert S Khouri; Ultra-Structural SDOCT changes in patients with DMI and preclinical diseases. Invest. Ophthalmol. Vis. Sci. 2015;56(7 ):602.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract
 
Purpose
 

To analyze spectral domain optical coherence tomography (SDOCT) findings in patients with Type 1 Diabetes (DMI) with normal fundus examination.

 
Methods
 

109 subjects were screened (mean age 14.32, range 5-30 yrs) during The International Conference for Children with DMI in Orlando, FL. The mean duration of DMI was 7.82 yr (range 0.4 to 25 yr) and the mean HbA1C for these individuals was 7.9%. Of these, 56% were females, 79% were Caucasians and the visual acuity was 20/20 for 57% of right eye and 61% of left eye. A comprehensive screening was performed including non-mydriatic fundus imaging (Canon, CR2 Plus-AF with EOS-60D) and SD-OCT (Optovue, iVue). OCT scans were acquired showing macular thickness (MT) and thickness of the parafoveal regions (2-4mm from fovea) and the perifoveal regions (4-6mm from fovea). The subjects were divided into three age groups: 6-8, 9-14 and 15-30 yr. Associations of macular, paramacular and perimacular thickness were analyzed as a function of HbA1C and Body Mass Index (BMI) by simple linear regressions.

 
Results
 

SDOCT measured ultrastructural discrepancies in the macula, paramacula and perimacula regions. Linear regression analysis of thickness of macula OD, paramacula OD, paramacula OS, perimacula OD with BMI were statistically significant (p <.05). HbA1C >7.5% was also found statistically significant in the macula OS, paramacula OD, paramacula OS, perimacula OD and perimacula OS. (Table 1) A general trend of thickening of the macula, paramacula and perimacula was observed with increasing HbA1C (>7.5%) and increasing BMI; however, no statistical significance was found. (Table 2)

 
Conclusions
 

SDOCT with retinal imaging was feasible in young individuals and revealed ultrastructural macular and perimacular changes in subjects with DMI prior to manifested clinical disease. A reference data base for comparison will further our understanding of these changes and warrants a larger study that will include SDOCT in patients with DMI.  

 
Significant Variables
 
Significant Variables
 
 
Thickening observed with increasing HbA1C (>7.5%) and increasing BMI.
 
Thickening observed with increasing HbA1C (>7.5%) and increasing BMI.

 
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