Literature DB >> 33627991

Real-World Screening for Retinopathy in Youth With Type 1 Diabetes Using a Nonmydriatic Fundus Camera.

Chelsea Zimmerman1, Brittany Bruggeman1, Amanda LaPorte2, Shalesh Kaushal3, Michael Stalvey4, Giovanna Beauchamp4, Kristin Dayton1, Paul Hiers1, Stephanie L Filipp5, Matthew J Gurka5, Janet H Silverstein1, Laura M Jacobsen1.   

Abstract

OBJECTIVE: To assess the use of a portable retinal camera in diabetic retinopathy (DR) screening in multiple settings and the presence of associated risk factors among children, adolescents, and young adults with type 1 diabetes. DESIGN AND METHODS: Five hundred youth with type 1 diabetes of at least 1 year's duration were recruited from clinics, diabetes camp, and a diabetes conference and underwent retinal imaging using a nonmydriatic fundus camera. Retinal characterization was performed remotely by a licensed ophthalmologist. Risk factors for DR development were evaluated by a patient-reported questionnaire and medical chart review.
RESULTS: Of the 500 recruited subjects aged 9-26 years (mean 14.9, SD 3.8), 10 cases of DR were identified (nine mild and one moderate nonproliferative DR) with 100% of images of gradable quality. The prevalence of DR was 2.04% (95% CI 0.78-3.29), at an average age of 20.2 years, with the youngest affected subject being 17.1 years of age. The rate of DR was higher, at 6.5%, with diabetes duration >10 years (95% CI 0.86-12.12, P = 0.0002). In subjects with DR, the average duration of diabetes was 12.1 years (SD 4.6, range 6.2-20.0), and in a subgroup of clinic-only subjects (n = 114), elevated blood pressure in the year before screening was associated with DR (P = 0.0068).
CONCLUSION: This study in a large cohort of subjects with type 1 diabetes demonstrates that older adolescents and young adults (>17 years) with longer disease duration (>6 years) are at risk for DR development, and screening using a portable retinal camera is feasible in clinics and other locations. Recent elevated blood pressure was a risk factor in an analyzed subgroup.
© 2020 by the American Diabetes Association.

Entities:  

Year:  2021        PMID: 33627991      PMCID: PMC7887527          DOI: 10.2337/ds20-0017

Source DB:  PubMed          Journal:  Diabetes Spectr        ISSN: 1040-9165


  32 in total

1.  State of Type 1 Diabetes Care in the United States in 2016-2018 from T1D Exchange Registry Data.

Authors:  David Rodbard
Journal:  Diabetes Technol Ther       Date:  2019-02       Impact factor: 6.118

Review 2.  11. Microvascular Complications and Foot Care: Standards of Medical Care in Diabetes-2019.

Authors: 
Journal:  Diabetes Care       Date:  2019-01       Impact factor: 19.112

3.  The case for biennial retinopathy screening in children and adolescents.

Authors:  Ann Maguire; Albert Chan; Janine Cusumano; Stephen Hing; Maria Craig; Martin Silink; Neville Howard; Kim Donaghue
Journal:  Diabetes Care       Date:  2005-03       Impact factor: 19.112

4.  A multicentre study evaluating the risk and prevalence of diabetic retinopathy in children and young people with type 1 diabetes mellitus.

Authors:  S M Ng; O O Ayoola; M P McGuigan; S Chandrasekaran
Journal:  Diabetes Metab Syndr       Date:  2018-12-05

5.  Impact of Age of Onset, Puberty, and Glycemic Control Followed From Diagnosis on Incidence of Retinopathy in Type 1 Diabetes: The VISS Study.

Authors:  Maria Nordwall; Mats Fredriksson; Johnny Ludvigsson; Hans J Arnqvist
Journal:  Diabetes Care       Date:  2019-01-31       Impact factor: 19.112

6.  The sensitivity and specificity of single-field nonmydriatic monochromatic digital fundus photography with remote image interpretation for diabetic retinopathy screening: a comparison with ophthalmoscopy and standardized mydriatic color photography.

Authors:  Danny Y Lin; Mark S Blumenkranz; Rosemary J Brothers; David M Grosvenor
Journal:  Am J Ophthalmol       Date:  2002-08       Impact factor: 5.258

7.  Fundus Photography as a Screening Method for Diabetic Retinopathy in Children With Type 1 Diabetes: Outcome of the Initial Photography.

Authors:  Thomas C Gräsbeck; Sophia V Gräsbeck; Päivi J Miettinen; Paula A Summanen
Journal:  Am J Ophthalmol       Date:  2016-07-02       Impact factor: 5.258

Review 8.  13. Children and Adolescents: Standards of Medical Care in Diabetes-2020.

Authors: 
Journal:  Diabetes Care       Date:  2020-01       Impact factor: 19.112

Review 9.  Applications of Artificial Intelligence in Ophthalmology: General Overview.

Authors:  Wei Lu; Yan Tong; Yue Yu; Yiqiao Xing; Changzheng Chen; Yin Shen
Journal:  J Ophthalmol       Date:  2018-11-19       Impact factor: 1.909

10.  Comparison of Digital Widefield Retinal Imaging With Indirect Ophthalmoscopy in Pediatric Patients.

Authors:  Hema L Ramkumar; Megha Koduri; Jordan Conger; Shira L Robbins; David Granet; William R Freeman; Luke Saunders; Henry Ferreyra; Robert N Weinreb; Eric Nudleman
Journal:  Ophthalmic Surg Lasers Imaging Retina       Date:  2019-09-01       Impact factor: 1.296

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