Literature DB >> 23154459

Comparative regional pupillography as a noninvasive biosensor screening method for diabetic retinopathy.

Maria Carolina Ortube1, Alexander Kiderman, Yakov Eydelman, Fei Yu, Nelson Aguilar, Steven Nusinowitz, Michael B Gorin.   

Abstract

PURPOSE: We describe infrared regional pupillometry as an objective comparative assessment of midperipheral to central retinal sensitivity and to correlate with midperipheral retinal ischemia in diabetic subjects.
METHODS: We tested 12 normal and 17 diabetic subjects using bilateral infrared pupillometry. The diabetic cohort included seven subjects without, five with mild, three with moderate, and two with severe non-proliferative diabetic retinopathy (NPDR). Central and annular stimuli of varying intensity were presented to one eye, and pupillary amplitude and constriction velocity were measured from both eyes. Light stimulus of increasing intensity was presented as 20 consecutive trials (stimulus duration of 300 ms with 3000 ms intervals). The ratio of central to peripheral responses (Q values) was calculated for each stimulus configuration. Average responses with respect to the stimulus strength were regressed with Gompertz sigmoid function.
RESULTS: Control and moderate/severe NPDR cases comparison showed statistically significant differences in amplitude (Q(A)) and constriction velocity (Q(CV)) (Wilcoxon rank sum test P = 0.002, respectively). Age difference for these groups was not statistically significant (Wilcoxon rank sum test P = 0.15). The comparison of control and diabetic subjects without NPDR/mild NPDR was statistically significant for Q(A) and Q(CV) (Wilcoxon rank sum test P = 0.0002 and P = 0.001, respectively). Q(A) and Q(CV) differences were statistically significant between moderate/severe NPDR cases and subjects without or mild NPDR cases (Wilcoxon rank sum test P = 0.013).
CONCLUSIONS: Q(A) and Q(CV) values correlated highly with the severity of diabetic retinopathy, but not with the duration of diabetes.

Entities:  

Mesh:

Year:  2013        PMID: 23154459      PMCID: PMC3541948          DOI: 10.1167/iovs.12-10241

Source DB:  PubMed          Journal:  Invest Ophthalmol Vis Sci        ISSN: 0146-0404            Impact factor:   4.799


  15 in total

1.  Senescent changes of the normal visual field: an age-old problem.

Authors:  P G Spry; C A Johnson
Journal:  Optom Vis Sci       Date:  2001-06       Impact factor: 1.973

2.  Peripheral vessel leakage (PVL): a new angiographic finding in diabetic retinopathy identified with ultra wide-field fluorescein angiography.

Authors:  Scott C N Oliver; Steven D Schwartz
Journal:  Semin Ophthalmol       Date:  2010 Jan-Mar       Impact factor: 1.975

3.  Americans are living longer, but obesity and diabetes are rising.

Authors:  Janice Hopkins Tanne
Journal:  BMJ       Date:  2011-02-18

4.  Evidence for a neural basis of age-related visual field loss in normal observers.

Authors:  C A Johnson; A J Adams; R A Lewis
Journal:  Invest Ophthalmol Vis Sci       Date:  1989-09       Impact factor: 4.799

5.  Pediatric obesity & type 2 diabetes.

Authors:  Tara L Dea
Journal:  MCN Am J Matern Child Nurs       Date:  2011 Jan-Feb       Impact factor: 1.412

6.  Prevalence of diabetic retinopathy in the United States, 2005-2008.

Authors:  Xinzhi Zhang; Jinan B Saaddine; Chiu-Fang Chou; Mary Frances Cotch; Yiling J Cheng; Linda S Geiss; Edward W Gregg; Ann L Albright; Barbara E K Klein; Ronald Klein
Journal:  JAMA       Date:  2010-08-11       Impact factor: 56.272

7.  Visual sensitivity loss in the central 30° of visual field is associated with diabetic peripheral neuropathy.

Authors:  G P Sampson; A M Shahidi; D Vagenas; N Pritchard; K Edwards; A W Russell; R A Malik; N Efron
Journal:  Diabetologia       Date:  2012-01-19       Impact factor: 10.122

8.  Geographic distribution of childhood diabetes and obesity relative to the supply of pediatric endocrinologists in the United States.

Authors:  Joyce M Lee; Matthew M Davis; Ram K Menon; Gary L Freed
Journal:  J Pediatr       Date:  2007-11-05       Impact factor: 4.406

Review 9.  Economic costs of diabetes in the U.S. In 2007.

Authors: 
Journal:  Diabetes Care       Date:  2008-03       Impact factor: 19.112

10.  Age-related changes of the normal visual field.

Authors:  G J Jaffe; J A Alvarado; R P Juster
Journal:  Arch Ophthalmol       Date:  1986-07
View more
  9 in total

1.  Factors influencing the pupillary light reflex in healthy individuals.

Authors:  Sourabh Sharma; Mani Baskaran; Annadata V Rukmini; Monisha E Nongpiur; HlaMyint Htoon; Ching-Yu Cheng; Shamira A Perera; Joshua J Gooley; Tin Aung; Dan Milea
Journal:  Graefes Arch Clin Exp Ophthalmol       Date:  2016-03-12       Impact factor: 3.117

2.  Correlation of Retinal Structure and Visual Function Assessments in Mouse Diabetes Models.

Authors:  Sarah R Sheskey; David A Antonetti; René C Rentería; Cheng-Mao Lin
Journal:  Invest Ophthalmol Vis Sci       Date:  2021-08-02       Impact factor: 4.799

3.  A novel device for accurate and efficient testing for vision-threatening diabetic retinopathy.

Authors:  April Y Maa; William J Feuer; C Quentin Davis; Ensa K Pillow; Tara D Brown; Rachel M Caywood; Joel E Chasan; Stephen R Fransen
Journal:  J Diabetes Complications       Date:  2015-12-09       Impact factor: 2.852

4.  Role of a mydriasis-free, full-field flicker ERG device in the detection of diabetic retinopathy.

Authors:  Mehmet Fatih Kağan Değirmenci; Sibel Demirel; Figen Batıoğlu; Emin Özmert
Journal:  Doc Ophthalmol       Date:  2018-10-17       Impact factor: 2.379

5.  Static and Dynamic Pupillary Responses in Patients with Different Stages of Diabetic Retinopathy.

Authors:  Hasan Kızıltoprak; Kemal Tekin; Mehmet Ali Sekeroglu; Esat Yetkin; Sibel Doguizi; Pelin Yilmazbas
Journal:  Neuroophthalmology       Date:  2019-11-25

6.  Infrared pupillometry, the Neurological Pupil index and unilateral pupillary dilation after traumatic brain injury: implications for treatment paradigms.

Authors:  Jefferson William Chen; Kiana Vakil-Gilani; Kay Lyn Williamson; Sandy Cecil
Journal:  Springerplus       Date:  2014-09-23

7.  Effects of low and moderate refractive errors on chromatic pupillometry.

Authors:  A V Rukmini; Milton C Chew; Maxwell T Finkelstein; Eray Atalay; Mani Baskaran; Monisha E Nongpiur; Joshua J Gooley; Tin Aung; Dan Milea; Raymond P Najjar
Journal:  Sci Rep       Date:  2019-03-20       Impact factor: 4.379

8.  Approach for a Clinically Useful Comprehensive Classification of Vascular and Neural Aspects of Diabetic Retinal Disease.

Authors:  Michael D Abramoff; Patrice E Fort; Ian C Han; K Thiran Jayasundera; Elliott H Sohn; Thomas W Gardner
Journal:  Invest Ophthalmol Vis Sci       Date:  2018-01-01       Impact factor: 4.799

9.  Pupillary responses to light are not affected by narrow irido-corneal angles.

Authors:  A V Rukmini; Raymond P Najjar; Eray Atalay; Sourabh Sharma; Jing Zhan Lock; Mani Baskaran; Monisha Nongpiur; Joshua J Gooley; Tin Aung; Dan Milea
Journal:  Sci Rep       Date:  2017-08-31       Impact factor: 4.379

  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.