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Fulltext Accelerated diabetic retinopathy in pregnancy--a real and present danger

Bastion MLC, Barkeh HJ, Muhaya M

Med J Malaysia, 2005 Oct;60(4):502-4.
PMID: 16570717

A 36 year-old Malay lady with diabetes mellitus in pregnancy and poorly controlled hypertension developed rapid progression of diabetic retinopathy from no retinopathy to florid proliferative retinopathy over three months in her right eye. She had subsequent loss of vision due to vitreous haemorrhage in the peri-partum period. She had good final visual acuity with quiescent retinopathy following pars planar vitrectomy. A similar course was avoided in the left eye by timely pan retinal photocoagulation.

Matched MeSH terms: Diabetic Retinopathy/physiopathology*
New Evidence Showing yet another Link between Sight-Threatening Diabetic Retinopathy and Obstructive Sleep Apnea: How Relevant is this to my General Practice?

Chidambaram R

J Coll Physicians Surg Pak, 2018 Nov;28(11):893.
PMID: 30369389 DOI: 10.29271/jcpsp.2018.11.893
Matched MeSH terms: Diabetic Retinopathy/physiopathology
Fulltext Pneumatic retinopexy for treatment of posterior pole detachment following vitreoretinal surgery for diabetic tractional retinal detachment threatening the fovea

Bastion ML

BMJ Case Rep, 2012;2012.
PMID: 22878988 DOI: 10.1136/bcr-2012-006303

To describe the usage of 100% perfluoropropane and subsequent laser retinopexy for the repair of posterior pole retinal detachment in a previously vitrectomised patient with diabetic tractional detachment.

Matched MeSH terms: Diabetic Retinopathy/physiopathology
Fulltext HbA1c and retinal sensitivity in diabetics using microperimetry

Sharanjeet-Kaur, Ismail SA, Mutalib HA, Ngah NF

J Optom, 2018 05 26;12(3):174-179.
PMID: 29843983 DOI: 10.1016/j.optom.2018.03.007

PURPOSE: The purpose of this study was to determine the relationship between HbA1c values and retinal sensitivity at central 10° using the MP-1 microperimeter.
METHODS: A prospective study was carried out on 32 healthy subjects (control group) and 60 diabetic patients. The diabetic patients were divided into 2 groups. Group 1 comprised of 30 patients without diabetic retinopathy (DR) and group 2 had 30 patients with mild non-proliferative DR. A full-threshold microperimetry of the central 10° of retina (the macula) was performed on all subjects, utilizing 32 points with the MP-1. The relationship between light sensitivity and HbA1c value was calculated using linear regression analysis.
RESULTS: Total mean sensitivity at 10° for group 1 without DR, group 2 with mild NPDR and control group were 18.67±0.83, 17.98±1.42 and 19.45±0.34 (dB), respectively. There was a significant difference in total mean retinal sensitivity at 10° between the 3 groups (F(2,89)=18.14, p=0.001). A simple linear regression was calculated to predict HbA1c based on retinal sensitivity. A significant regression equation was found (F(1,90)=107.61, p=0.0001, with an R2 of 0.545). The linear regression analysis revealed that there was a 0.64dB decline in mean retinal sensitivity within the central 10° diameter with an increase of 1mmHg of HbA1c.
CONCLUSION: Retinal sensitivity at the central 10° of the macula is affected by changes in HbA1c values.

Matched MeSH terms: Diabetic Retinopathy/physiopathology*
Fulltext Sensitivity and specificity of automated analysis of single-field non-mydriatic fundus photographs by Bosch DR Algorithm-Comparison with mydriatic fundus photography (ETDRS) for screening in undiagnosed diabetic retinopathy

Bawankar P, Shanbhag N, K SS, Dhawan B, Palsule A, Kumar D, et al.

PLoS One, 2017;12(12):e0189854.
PMID: 29281690 DOI: 10.1371/journal.pone.0189854

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.

Study site: India

Matched MeSH terms: Diabetic Retinopathy/physiopathology
Explorative study on diabetes neuropathy among type II diabetic patients in Universiti Sains Malaysia Hospital

Abougalambou SS, Abougalambou AS

Diabetes Metab Syndr, 2012 Jul-Sep;6(3):167-72.
PMID: 23158982 DOI: 10.1016/j.dsx.2012.09.002

OBJECTIVE: The aim of this study was to determine risk factors and prevalence of diabetic neuropathy (DN) among type II diabetic patients in Malaysian hospital setting.
SUBJECTS AND METHODS: a observational prospective longitudinal follow up study design was selected, total no of respondents were 1077 type 2 diabetes mellitus outpatients recruited via attended the diabetes clinics at Hospital Universiti Sains Malaysia (HUSM) in Kelantan. The diagnosis of neuropathy was confirmed by nerve conduction studies. Logistic regression analysis was used to assess the independent variables that affect the development of neuropathy.
RESULTS: The prevalence of nephropathy is 54.3%. Longitudinal logistic regression identified four predictive variables on the development and progression of diabetic neuropathy that are: duration of diabetes, retinopathy, HbA1c at second visit, and creatinine clearance third visit.
CONCLUSION: Findings of this study show high prevalence of diabetic neuropathy. HbA1c and creatinine clearance are two modifiable risk factors for the development of diabetic neuropathy.
Study site: Diabetes clinics, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia

Matched MeSH terms: Diabetic Retinopathy/physiopathology
Scanning laser edema index: a reliable tool to correlate with diabetic retinopathy and systemic risk factors?

Peyman M, Tajunisah I, Loo A, Chuah KC, Subrayan V

J Diabetes Complications, 2012 May-Jun;26(3):210-3.
PMID: 22520399 DOI: 10.1016/j.jdiacomp.2012.03.019

To correlate Heidelberg Retina Tomograph (HRT) derived macular edema (DME) index with severity of diabetic retinopathy and systemic factors. A total of 300 diabetic patients were recruited for the study for each of them a value for the macular edema index was obtained using the HRT II. Patients' age, gender, duration and type of diabetes mellitus, latest HbA1c result and presence or absence of co-morbid factors (hypertension, ischemic heart disease, nephropathy) were recorded together with the stage of diabetic retinopathy. These were correlated with DME. Out of 300 patients, HRT defined macula edema was seen in 68 patients (22.6%). There is a wider and higher range (95% percentile) of macula edema index in the severe non proliferative diabetic retinopathy (NPDR) group. Independent samples t test showed significant difference between the severe NPDR group and no DR group (p<0.001), mild NPDR group (p<0.05) and moderate NPDR group (p<0.05). A higher macula edema index was also found to have a low degree of correlation with more advanced stages of retinopathy (r=0.310; p<0.001). Also nephropathy showed a strong and significant correlation with DME. Hypertension had moderately significant correlation with DME. This study found no correlation between ischemic heart disease and DME. HRT derived scanning laser edema index is a reliable objective tool to evaluate diabetic retinopathy and systemic risk factors.

Matched MeSH terms: Diabetic Retinopathy/physiopathology