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      Smartphone-Assisted Glaucoma Screening in Patients With Type 2 Diabetes: a Pilot Study

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          Abstract

          We aimed to determine true and false positives of glaucoma screening, relying solely on photos of the retina, taken with a smartphone. We performed a descriptive and analytical study on patients with type 2 diabetes at the National Obesity Centre, Yaoundé, Cameroon. Participating patients had retinal photography sessions using an iPhone 5s (iOS 10.3.3; Apple, Cupertino, CA) coupled to the Make in India Retinal Camera (MIIRetCam; MIIRetCam Inc., Coimbatore, TN, India). Obtained pictures of the retina were stored and transferred via the internet to an ophthalmologist to assess glaucoma. Selected patients were then invited to undergo a conventional ophthalmological examination to confirm the diagnosis. A total of 395 patients were screened, 39 (including 20 women) were diagnosed with suspicion of glaucoma based on retinal photos, a prevalence rate of 9.87%. The following signs were found; Cup/Disc ratio (C/D) ≥0.5 in 64.1% (25/39), asymmetric C/D >0.2 in 35.9% (14/39), papillary haemorrhage in 10.2% (4/39) and retinal nerve fibre deficiency in 2.5% (1/39). Only 14 of 39 patients with suspicion of glaucoma were examined, giving a lost-to-follow-up rate of 64.1%. Chronic open-angle glaucoma was confirmed in 8 patients (true positives) and absent in 6 patients (false positives). The prevalence of smartphone-detected glaucoma and lost-to-follow-up rates were high. So we need to improve this type of screening, with additional tests like transpalpebral applanation tonometer and the smartphone Frequency Doubling Technique visual field combined with better education of patients to increase their adherence to follow-up.

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          Glaucoma history and risk factors

          Apart from the risk of developing glaucoma there is also the risk that it is not detected and irreversible loss of vision ensues. Some studies of methods of glaucoma diagnosis have examined the results of instrument-based examinations with great if not complete reliance on objective findings in arriving at a diagnosis. The very valuable advances in glaucoma detection instrument technologies, and apparent increasing dependence on them, may have led to reduced consideration of information available from a patient history in those studies. Dependence on objective evidence of glaucomatous pathology may reduce the possibility of detecting glaucoma suspects or patients at risk for becoming glaucoma suspects. A valid positive family history of glaucoma is very valuable information. However, negative family histories can often be unreliable due to large numbers of glaucoma cases being undiagnosed. No evidence of family history is appropriate rather than no family history. In addition the unreliability of a negative family history is increased when patients with glaucoma fail to inform their family members. A finding of no family history can only be stated as no known family history. In examining the potential diagnostic contribution from a patient history, this review considers, age, frailty, race, type and degree of refractive error, systemic hyper- and hypotension, vasospasm, migraine, pigmentary dispersion syndrome, pseudoexfoliation syndrome, obstructive sleep apnea syndrome, diabetes, medication interactions and side effects, the degree of exposure to intraocular and intracranial pressure elevations and fluctuations, smoking, and symptoms in addition to genetics and family history of the disease.
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            Comparison of Smartphone Ophthalmoscopy With Slit-Lamp Biomicroscopy for Grading Vertical Cup-to-Disc Ratio

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              Validation of Smartphone-Based Retinal Photography for Diabetic Retinopathy Screening.

              Screening for diabetic retinopathy (DR) is cost-effective when compared with disability loss for those who go blind in the absence of a screening program. We aimed to evaluate the sensitivity and specificity of a smartphone-based device for the screening and detection of DR.
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                Author and article information

                Journal
                Med Hypothesis Discov Innov Ophthalmol
                mehdiophth
                Medical Hypothesis, Discovery and Innovation in Ophthalmology
                Medical Hypothesis, Discovery & Innovation Ophthalmology
                2322-4436
                2322-3219
                2020
                1 January 2020
                : 9
                : 1
                : 61-65
                Affiliations
                [1 ] Department of Ophthalmology, Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon
                [2 ] Department of Clinical Sciences, Faculty of Health Sciences, Universite des Montagnes, Bangangte, Cameroon
                [3 ] Department of Public Health, Faculty of Medicine and Biomedical Sciences, The University of Yaounde 1, Yaounde, Cameroon
                [4 ] Ophthalmo-Pediatric Unit, Magrabi ICO Cameroon Eye Institute, Okala, Cameroon
                [5 ] Department of Internal Medicine and Specialties, Faculty of Medicine and Biomedical Sciences, University of Yaounde 1, Yaounde, Cameroon
                [6 ] Department of Vitreoretina, Lotus Eye Hospital and Institute, Coimbatore, TN, India
                Author notes
                Correspondence to: Yannick Bilong MD, Department of Ophthalmology, Faculty of Medicine and Biomedical Sciences, University of Yaoundé 1, Yaoundé, Cameroon. Email: bilongyan@yahoo.fr
                Article
                mehdiophth-9-038
                6969564
                324e821a-f3b9-4f5a-976a-6a2d6faa7d39
                © 2020, Author(s).

                This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International License ( http://creativecommons.org/licenses/by/4.0/) which permits copy and redistribute the material just in noncommercial usages, provided the original work is properly cited.

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                Original Article

                smartphone,glaucoma,screening,diabetes,make in india retinal camera (miiretcam)

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