Literature DB >> 19065433

Prevalence and risk factors of diabetic retinopathy in a multi-racial underserved population.

Annie Lim1, Jay Stewart, Tsz-Ying Chui, May Lin, Kathryn Ray, Thomas Lietman, Travis Porco, Lauren Jung, Stuart Seiff, Shan Lin.   

Abstract

PURPOSE: To describe the prevalence, severity, and associated risk factors of diabetic retinopathy among different racial groups (whites, blacks, Hispanics, and Asians) within an urban, underserved population.
METHODS: 2-field non-mydriatic retinal photographs of each eye were reviewed for 1073 patients referred to the San Francisco General Hospital mobile eye service, the Eye Van, for diabetic retinopathy screening. Presence and severity of diabetic retinopathy was determined based on a modification of the Airlie House classification system.
RESULTS: The prevalence of any retinopathy among all diabetics was 15.7%. There was no statistical difference in the prevalence of retinopathy among the racial groups. Significant independent predictors of presence and severity of retinopathy were longer duration of diabetes, and use of oral hypoglycemic medication or insulin (P < 0.05). Gender, age, primary language, income, and co-diagnosis of hypertension were not correlated.
CONCLUSIONS: In this population of similar socioeconomic status and access to healthcare, race was not an independent predictor of diabetic retinopathy. This suggests that racial differences described in previous studies may be eliminated when social factors are equalized.

Entities:  

Mesh:

Year:  2008        PMID: 19065433     DOI: 10.1080/09286580802435179

Source DB:  PubMed          Journal:  Ophthalmic Epidemiol        ISSN: 0928-6586            Impact factor:   1.648


  6 in total

1.  Diabetic Retinopathy: Focus on Minority Populations.

Authors:  Arpine Barsegian; Boleslav Kotlyar; Justin Lee; Moro O Salifu; Samy I McFarlane
Journal:  Int J Clin Endocrinol Metab       Date:  2017-11-11

2.  Proliferative and inflammatory factors in the vitreous of patients with proliferative diabetic retinopathy.

Authors:  V V Chernykh; E V Varvarinsky; E V Smirnov; D V Chernykh; Alexander N Trunov
Journal:  Indian J Ophthalmol       Date:  2015-01       Impact factor: 1.848

3.  Flow Density in Optical Coherence Tomography Angiography is Useful for Retinopathy Diagnosis in Diabetic Patients.

Authors:  Yoshihiro Kaizu; Shintaro Nakao; Mitsuru Arima; Takehito Hayami; Iori Wada; Muneo Yamaguchi; Haruka Sekiryu; Keijiro Ishikawa; Yasuhiro Ikeda; Koh-Hei Sonoda
Journal:  Sci Rep       Date:  2019-06-17       Impact factor: 4.379

4.  United Kingdom Diabetic Retinopathy Electronic Medical Record (UK DR EMR) Users Group: report 4, real-world data on the impact of deprivation on the presentation of diabetic eye disease at hospital services.

Authors:  Alastair K Denniston; Aaron Y Lee; Cecilia S Lee; David P Crabb; Clare Bailey; Peck-Lin Lip; Paul Taylor; Maria Pikoula; Esther Cook; Toks Akerele; Richard Antcliff; Christopher Brand; Usha Chakravarthy; Randhir Chavan; Narendra Dhingra; Louise Downey; Haralabos Eleftheriadis; Faruque Ghanchi; Rehna Khan; Vineeth Kumar; Aires Lobo; Andrew Lotery; Geeta Menon; Rajarshi Mukherjee; Helen Palmer; Sudeshna Patra; Bobby Paul; Dawn A Sim; James Stephen Talks; Elizabeth Wilkinson; Adnan Tufail; Catherine A Egan
Journal:  Br J Ophthalmol       Date:  2018-09-29       Impact factor: 4.638

5.  Diagonal ear lobe crease in diabetic south Indian population: is it associated with Diabetic Retinopathy?. Sankara Nethralaya Diabetic Retinopathy Epidemiology And Molecular-genetics Study (SN-DREAMS, Report no. 3).

Authors:  Rajiv Raman; Padmaja Kumari Rani; Vaitheeswaran Kulothungan; Tarun Sharma
Journal:  BMC Ophthalmol       Date:  2009-09-29       Impact factor: 2.209

6.  Racial disparity of eye examinations among the U.S. working-age population with diabetes: 2002-2009.

Authors:  Qian Shi; Yingnan Zhao; Vivian Fonseca; Marie Krousel-Wood; Lizheng Shi
Journal:  Diabetes Care       Date:  2014-02-26       Impact factor: 19.112

  6 in total

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