Literature DB >> 19222628

Screening for sight threatening diabetic retinopathy using non-mydriatic retinal camera in a primary care setting: to dilate or not to dilate?

M Baeza1, D Orozco-Beltrán, V F Gil-Guillen, V Pedrera, M C Ribera, S Pertusa, J Merino.   

Abstract

OBJECTIVES: To evaluate three different strategies (without or with mydriasis) for community based screening for sight threatening diabetic retinopathy (STDR).
DESIGN: A masked cross-sectional comparative study.
SETTING: Primary care centre. PARTICIPANTS: 216 type-1 and type-2 diabetic patients (432 eyes).
INTERVENTIONS: Screening for STDR was performed with the Topcon CRW6S non-mydriatic camera (NMC), compared with the grading of the seven-field standard stereoscopic photographs, 30 degrees field photographs with mydriasis as the gold standard method. Three fields were studied: Field 1 centred on the macula; field 2 centred on the disc and the macula and field 3 centred on the disc, on the macula and temporal upper to the macula all without and with mydriasis. MAIN OUTCOME MEASURES: Sensitivity and specificity of screening method and prevalence of STDR. Strategies: field 1 (macular), addition of field 2 (nasal), addition of field 3 (superior temporal) all without and with mydriasis.
RESULTS: The prevalence of STDR was 14.3%. When screening without mydriasis is performed, the percentage of referred patients increases from 14% (STDR) to almost 33% because of ungradable photographs. Sensitivity of detection of STDR by NMC using single field with mydriasis was 82% (95% confidence interval 72-92%) and without mydriasis 67% (54-80%). Specificity was 99% (97-100%) for single field with mydriasis and 99% (98-100%) without mydriasis. Sensitivity of detection using two fields with mydriasis was 95% (89-100%); without mydriasis (54-80%), slightly better than single field with mydriasis (72-92%). Specificity was similar.
CONCLUSIONS: Screening for STDR with NMC can be performed effectively with one non-stereoscopic retinal photograph per eye with mydriasis using tropicamide 0.5%. Screening without mydriasis increases the number of patients to be referred.

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Year:  2009        PMID: 19222628     DOI: 10.1111/j.1742-1241.2008.01921.x

Source DB:  PubMed          Journal:  Int J Clin Pract        ISSN: 1368-5031            Impact factor:   2.503


  17 in total

1.  Comparison Among Methods of Retinopathy Assessment (CAMRA) Study: Smartphone, Nonmydriatic, and Mydriatic Photography.

Authors:  Martha E Ryan; Ramachandran Rajalakshmi; Vijayaraghavan Prathiba; Ranjit Mohan Anjana; Harish Ranjani; K M Venkat Narayan; Timothy W Olsen; Viswanathan Mohan; Laura A Ward; Michael J Lynn; Andrew M Hendrick
Journal:  Ophthalmology       Date:  2015-07-16       Impact factor: 12.079

2.  Telemedicine and Diabetic Retinopathy: Review of Published Screening Programs.

Authors:  Kevin Tozer; Maria A Woodward; Paula A Newman-Casey
Journal:  J Endocrinol Diabetes       Date:  2015-11-11

Review 3.  Clinical Components of Telemedicine Programs for Diabetic Retinopathy.

Authors:  Mark B Horton; Paolo S Silva; Jerry D Cavallerano; Lloyd Paul Aiello
Journal:  Curr Diab Rep       Date:  2016-12       Impact factor: 4.810

4.  Evaluation of diabetic retinopathy screening using a non-mydriatic retinal digital camera in primary care settings in south Israel.

Authors:  Yossi Mizrachi; Boris Knyazer; Sara Guigui; Shirley Rosen; Tova Lifshitz; Nadav Belfair; Itamar Klemperer; Marina Schneck; Jaime Levy
Journal:  Int Ophthalmol       Date:  2013-12-01       Impact factor: 2.031

5.  Incidence of diabetic retinopathy in people with type 2 diabetes mellitus attending the Diabetic Retinopathy Screening Service for Wales: retrospective analysis.

Authors:  R L Thomas; F Dunstan; S D Luzio; S Roy Chowdury; S L Hale; R V North; R L Gibbins; D R Owens
Journal:  BMJ       Date:  2012-02-22

6.  Sensitivity and specificity of nonmydriatic digital imaging in screening diabetic retinopathy in Indian eyes.

Authors:  Vishali Gupta; Reema Bansal; Amod Gupta; Anil Bhansali
Journal:  Indian J Ophthalmol       Date:  2014-08       Impact factor: 1.848

7.  Prevalence and risk factors for diabetic retinopathy in rural India. Sankara Nethralaya Diabetic Retinopathy Epidemiology and Molecular Genetic Study III (SN-DREAMS III), report no 2.

Authors:  Rajiv Raman; Suganeswari Ganesan; Swakshyar Saumya Pal; Vaitheeswaran Kulothungan; Tarun Sharma
Journal:  BMJ Open Diabetes Res Care       Date:  2014-06-06

8.  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

9.  Detection of diabetic macular oedema: validation of optical coherence tomography using both foveal thickness and intraretinal fluid.

Authors:  Carmen Hernández-Martínez; Antonio Palazón-Bru; Cesar Azrak; Aída Navarro-Navarro; Manuel Vicente Baeza-Díaz; José Juan Martínez-Toldos; Vicente Francisco Gil-Guillén
Journal:  PeerJ       Date:  2015-11-10       Impact factor: 2.984

10.  Validity of Optical Coherence Tomography as a Diagnostic Method for Diabetic Retinopathy and Diabetic Macular Edema.

Authors:  Cesar Azrak; Manuel Vicente Baeza-Díaz; Antonio Palazón-Bru; Carmen Hernández-Martínez; Aída Navarro-Navarro; José Juan Martínez-Toldos; Vicente Francisco Gil-Guillén
Journal:  Medicine (Baltimore)       Date:  2015-09       Impact factor: 1.817

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