ABSTRACT
Introduction Cataract being one of the leading causes of avertible blindness has been found to be quite prevalent in developing countries like India. The National Programme for Control of Blindness (NPCB) aims at reducing blindness due to cataract via cataract control programs. The most commonly performed surgery is the manual small incision cataract surgery (MSICS). Aim The aim of this study was to determine the visual acuity and outcome in patients who underwent MSICS in a tertiary hospital in south India. Methodology A prospective longitudinal interventional study was conducted in a tertiary hospital in Karnataka, India, over a period of nine months. A total of 105 eyes underwent MSICS and were followed up for one month to assess their postoperative visual outcome and complications, if any. During this period, they were started on antibiotic + steroid combination eyedrops, which were tapered over four weeks. Results Results were assessed based on visual grading categorized by the World Health Organization (WHO). A total of 103 (98.1%) patients had good vision, i.e., visual acuity of 6/6 - 6/18, followed by two (1.9%) who had moderate vision i.e., visual acuity of <6/18 - 3/60, and none were blind or with visual acuity of <3/60. Complications seen intraoperatively in two patients (1.9%) were iris prolapse and posterior capsular rent, respectively, and postoperatively one (0.95%) patient showed hyphema with inferior haptic in the anterior chamber. Conclusion This study proves that a good visual outcome with a low complication rate can be achieved after MSICS with posterior chamber intraocular lens implantation.
ABSTRACT
Diabetic retinopathy (DR) is a leading cause of blindness among working-age adults. Early diagnosis through effective screening programs is likely to improve vision outcomes. The ETDRS seven-standard-field 35-mm stereoscopic color retinal imaging (ETDRS) of the dilated eye is elaborate and requires mydriasis, and is unsuitable for screening. We evaluated an image analysis application for the automated diagnosis of DR from non-mydriatic single-field images. Patients suffering from diabetes for at least 5 years were included if they were 18 years or older. Patients already diagnosed with DR were excluded. Physiologic mydriasis was achieved by placing the subjects in a dark room. Images were captured using a Bosch Mobile Eye Care fundus camera. The images were analyzed by the Retinal Imaging Bosch DR Algorithm for the diagnosis of DR. All subjects also subsequently underwent pharmacological mydriasis and ETDRS imaging. Non-mydriatic and mydriatic images were read by ophthalmologists. The ETDRS readings were used as the gold standard for calculating the sensitivity and specificity for the software. 564 consecutive subjects (1128 eyes) were recruited from six centers in India. Each subject was evaluated at a single outpatient visit. Forty-four of 1128 images (3.9%) could not be read by the algorithm, and were categorized as inconclusive. In four subjects, neither eye provided an acceptable image: these four subjects were excluded from the analysis. This left 560 subjects for analysis (1084 eyes). The algorithm correctly diagnosed 531 of 560 cases. The sensitivity, specificity, and positive and negative predictive values were 91%, 97%, 94%, and 95% respectively. The Bosch DR Algorithm shows favorable sensitivity and specificity in diagnosing DR from non-mydriatic images, and can greatly simplify screening for DR. This also has major implications for telemedicine in the use of screening for retinopathy in patients with diabetes mellitus.
