Displaying publications 81 - 100 of 128 in total

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  1. Porwal P, Pachade S, Kokare M, Giancardo L, Mériaudeau F
    Comput Biol Med, 2018 11 01;102:200-210.
    PMID: 30308336 DOI: 10.1016/j.compbiomed.2018.09.028
    Age-related Macular Degeneration (AMD) and Diabetic Retinopathy (DR) are the most prevalent diseases responsible for visual impairment in the world. This work investigates discrimination potential in the texture of color fundus images to distinguish between diseased and healthy cases by avoiding the prior lesion segmentation step. It presents a retinal background characterization approach and explores the potential of Local Tetra Patterns (LTrP) for texture classification of AMD, DR and Normal images. Five different experiments distinguishing between DR - normal, AMD - normal, DR - AMD, pathological - normal and AMD - DR - normal cases were conducted and validated using the proposed approach, and promising results were obtained. For all five experiments, different classifiers namely, AdaBoost, c4.5, logistic regression, naive Bayes, neural network, random forest and support vector machine were tested. We experimented with three public datasets, ARIA, STARE and E-Optha. Further, the performance of LTrP is compared with other texture descriptors, such as local phase quantization, local binary pattern and local derivative pattern. In all cases, the proposed method obtained the area under the receiver operating characteristic curve and f-score values higher than 0.78 and 0.746 respectively. It was found that both performance measures achieve over 0.995 for DR and AMD detection using a random forest classifier. The obtained results suggest that the proposed technique can discriminate retinal disease using texture information and has potential to be an important component for an automated screening solution for retinal images.
    Matched MeSH terms: Diabetic Retinopathy
  2. Hamilton RD, Clemens A, Minnella AM, Lai TYY, Dai H, Sakamoto T, et al.
    PLoS One, 2020;15(1):e0227557.
    PMID: 31961888 DOI: 10.1371/journal.pone.0227557
    PURPOSE: To assess the 1-year effectiveness, safety, and treatment patterns of ranibizumab in patients with myopic choroidal neovascularization (mCNV) enrolled in the LUMINOUS study.

    METHODS: This 5-year, prospective, multicenter, observational, study enrolled 30,138 patients across all approved ranibizumab indications from outpatient ophthalmology clinics. 297 consenting patients (≥18 years) with mCNV who were treatment-naïve or prior-treated with ranibizumab or other ocular treatments were enrolled, and treated with ranibizumab according to the local product label. The main outcomes are visual acuity (VA; Early Treatment Diabetic Retinopathy Study letters or equivalent), adverse events during the study, and treatment exposure over 1 year. Results are presented by prior treatment status of the study eye and injection frequency.

    RESULTS: Of the 297 mCNV patients recruited in the study, 108 were treatment-naïve and 175 were prior ranibizumab-treated. At baseline, the mean age of patients was 57.6 years, and 59.0 years and 80.6% and 65.7% were female in the treatment-naïve and prior ranibizumab-treated groups, respectively. Most were Caucasian (treatment-naïve, 88.9%; prior ranibizumab-treated, 86.9%). The mean (±standard deviation [SD]) VA letter changes to 1 year were +9.7 (±17.99) from 49.5 (±20.51) and +1.5 (±13.15) from 58.5 (±19.79) and these were achieved with a mean (SD) of 3.0 (±1.58) and 2.6 (±2.33) injections in the treatment-naïve and prior ranibizumab-treated groups, respectively. Presented by injection frequencies 1-2, 3-4 and ≥5 injections in Year 1, the mean (SD) VA changes were +15.0 (±14.70), +7.7 (±19.91) and -0.7 (±16.05) in treatment-naïve patients and +1.5 (±14.57), +3.1 (±11.53) and -3.6 (±11.97) in prior ranibizumab-treated patients, respectively. The safety profile was comparable with previous ranibizumab studies.

    CONCLUSIONS: Ranibizumab treatment for mCNV showed robust VA gains in treatment-naïve patients and VA maintenance in prior ranibizumab-treated patients in a clinical practice setting, consisting mainly of Caucasians. No new safety signals were observed during the study.

    Matched MeSH terms: Diabetic Retinopathy
  3. Naserrudin NA, Jeffree MS, Kaur N, Syed Abdul Rahim SS, Ibrahim MY
    PLoS One, 2022 01 28;17(1):e0261249.
    PMID: 35089931 DOI: 10.1371/journal.pone.0264247
    Every person diagnosed with diabetes mellitus (T2DM) is at risk of developing Diabetic retinopathy (DR). Thus, DR is one of the major chronic microvascular complications of T2DM. However, in Malaysia, research about DR is still scarce. This study aimed to determine the prevalence of DR among diabetic patients across 46 primary healthcare clinics in Sabah, Malaysia. Secondly, it purported to identify the factors influencing the development of DR. This cross-sectional study involved a total of 22,345 Type 2 diabetes mellitus (T2DM) patients in the Sabah Diabetic Registry from 2008 to 2015. Of the 22,345 T2DM patients, 13.5% (n = 3,029) of them were diagnosed with DR. Multiple logistic regression revealed seven major risk factors of DR, i.e. patients with diabetic foot ulcer [aOR: 95% CI 3.08 (1.96-4.85)], patients with diabetic nephropathy [aOR: 95% CI 2.47 (2.13-2.86)], hypertension [aOR: 95% CI 1.63 (1.43-1.87)], dyslipidaemia [aOR: 95% CI 1.30 (1.17-1.44)], glycated haemoglobin [(HbA1c) > 6.5 (aOR: 95% CI 1.25 (1.14-1.38)], duration of diabetes mellitus (T2DM) [aOR: 95% CI 1.06 (1.05-1.07)] and age of patient [aOR: 95% CI 1.01 (1.00-1.02)] respectively. DR is a preventable complication. The effective glycaemic control is crucial in preventing DR. In minimizing the prevalence of DR, the healthcare authorities should institute programmes to induce awareness on the management of DR's risk factors among patient and practitioner.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis*; Diabetic Retinopathy/etiology; Diabetic Retinopathy/epidemiology
  4. Khangholi S, Majid FA, Berwary NJ, Ahmad F, Aziz RB
    Planta Med, 2016 Jan;82(1-2):32-45.
    PMID: 26550791 DOI: 10.1055/s-0035-1558086
    Glycation, the non-enzymatic binding of glucose to free amino groups of an amino acid, yields irreversible heterogeneous compounds known as advanced glycation end products. Those products play a significant role in diabetic complications. In the present article we briefly discuss the contribution of advanced glycation end products to the pathogenesis of diabetic complications, such as atherosclerosis, diabetic retinopathy, nephropathy, neuropathy, and wound healing. Then we mention the various mechanisms by which polyphenols inhibit the formation of advanced glycation end products. Finally, recent supporting documents are presented to clarify the inhibitory effects of polyphenols on the formation of advanced glycation end products. Phytochemicals apply several antiglycation mechanisms, including glucose metabolism, amelioration of oxidative stress, scavenging of dicarbonyl species, and up/down-regulation of gene expression. To utilize polyphenols in order to remedy diabetic complications, we must explore, examine and clarify the action mechanisms of the components of polyphenols.
    Matched MeSH terms: Diabetic Retinopathy
  5. Vinuthinee-Naidu MN, Zunaina E, Azreen-Redzal A, Nyi-Nyi N
    BMC Ophthalmol, 2017 Jun 14;17(1):91.
    PMID: 28615022 DOI: 10.1186/s12886-017-0486-3
    BACKGROUND: Uric acid is a final breakdown product of purine catabolism in humans. It's a potent antioxidant and can also act as a pro-oxidant that induces oxidative stress on the vascular endothelial cells, thus mediating progression of diabetic related diseases. Various epidemiological and experimental evidence suggest that uric acid has a role in the etiology of type 2 diabetes mellitus. We conducted a cross-sectional study to evaluate the correlation of retinal nerve fibre layer (RNFL) and macular thickness with serum uric acid in type 2 diabetic patients.

    METHODS: A cross-sectional study was conducted in the Eye Clinic, Hospital Universiti Sains Malaysia, Kelantan between the period of August 2013 till July 2015 involving type 2 diabetes mellitus patients with no diabetic retinopathy and with non-proliferative diabetic retinopathy (NPDR). An evaluation for RNFL and macular thickness was measured using Spectralis Heidelberg optical coherence tomography. Six ml of venous blood was taken for the measurement of serum uric acid and glycosylated haemoglobin (HbA1C).

    RESULTS: A total of 180 diabetic patients were recruited (90 patients with no diabetic retinopathy and 90 patients with NPDR) into the study. The mean level of serum uric acid for both the groups was within normal range and there was no significance difference between the two groups. Based on gender, both male and female gender showed significantly higher level of mean serum uric acid in no diabetic retinopathy group (p = 0.004 respectively). The mean serum uric acid was significantly higher in patient with HbA1C 
    Matched MeSH terms: Diabetic Retinopathy/blood; Diabetic Retinopathy/diagnosis*; Diabetic Retinopathy/etiology
  6. Yang QH, Zhang Y, Zhang XM, Li XR
    Int J Ophthalmol, 2019;12(2):302-311.
    PMID: 30809489 DOI: 10.18240/ijo.2019.02.19
    AIM: To investigate the pooled prevalence of diabetic retinopathy (DR), proliferative DR (PDR) and nonproliferative DR (NPDR) in Asian type 2 diabetes mellitus (T2DM) patients.
    METHODS: We performed a systematic search online search using PubMed, EMBASE, Web of Science, the Cochrane Library, and China WeiPu Library to identify eligible studies that reported the prevalence of DR, PDR and NPDR in Asian T2DM patients. Effect size (ES) with 95% confidence interval (CI) was used to evaluate the prevalence of DR, PDR and NPDR in Asian T2DM patients, respectively.
    RESULTS: There were 41 references and 48 995 T2DM patients involved in this study. The prevalence of DR, PDR, and NPDR was 28%, 6%, and 27% in T2DM patients, respectively; while the prevalence of PDR and NPDR in DR patients was 17% and 83%, respectively. Subgroup analysis showed that prevalence of DR in T2DM patients from Singaporean, Indian, South Korean, Malaysian, Asian, and Chinese was 33%, 42%, 16%, 35%, 21% and 25%, respectively. In T2DM patients with NPDR from Indian, South Korean, Malaysian, Asian, Chinese, higher prevalence was found than that in PDR patients (45% vs 17%, 13% vs 3%, 30% vs 5%, 23% vs 2% and 22% vs 3%), as well as in DR patients (74% vs 26%, 81% vs 19%, 86% vs 14%, 92% vs 8% and 85% vs 15%). The prevalence of PDR in T2DM from India was higher than patients from other locations of Asia, and the same results were also observed in NPDR patients.
    CONCLUSION: In either T2DM Asian patients or DR patients, NPDR is more common than PDR. Based on our results, we should pay more attention to NPDR screening and management in T2DM patients, and we also recommend suitable interventions to prevent its progression.
    Matched MeSH terms: Diabetic Retinopathy
  7. Ngah NF, Muhamad NA, Asnir ZZ, Abdul Aziz RA, Mhad Kassim Z, Sahar SA, et al.
    Int J Ophthalmol, 2020;13(11):1808-1813.
    PMID: 33215014 DOI: 10.18240/ijo.2020.11.19
    AIM: To determine the prevalence of diabetic retinopathy (DR) among diabetic patients at the primary health clinics in Selangor, Malaysia.

    METHODS: All diabetic patients were screened in Retinal Disease Awareness Programme (RDAP) and those who had significant DR changes were referred to the hospital for further management. Descriptive analyses were done to determine the prevalence of DR and sociodemographic characteristics among patients with diabetic. Univariate and multivariable analysis using Logistic regression were performed to find association and predictor factors in this screening.

    RESULTS: A total of 3305 patients aged 40y and above were screened for DR. Of the patients screened, 9% patients were found to have DR and other visual complication such as maculopathy (0.9%), cataract (4.8%) and glaucoma (0.4%). The mean age of patients without retinopathy was 57.82±8.470y and the mean age of patients with DR was 63.93±9.857y. About 61.5% of the patients screened were aged below 60y and 38.5% were aged 60y and above. Majority of the patients screened were women 58.5% and Malay in the age group of 50-59y, while 27% were aged 60-69y. Significant association were found between age, sex, race, visual loss and DR.

    CONCLUSION: Although the prevalence of DR among patients is not alarming, effective interventions need to be implemented soon to avert a large burden of visual loss from DR.

    Matched MeSH terms: Diabetic Retinopathy
  8. Jew OM, Peyman M, Chen TC, Visvaraja S
    Int J Ophthalmol, 2012;5(4):499-504.
    PMID: 22937513 DOI: 10.3980/j.issn.2222-3959.2012.04.18
    AIM: To determine the risk factors of clinically significant macular edema (CSME) in patients with non-proliferative diabetic retinopathy (NPDR) in a multi-ethnics Malaysian population.
    METHODS: We performed a case control study in which 150 patients with bilateral NPDR and CSME in either eye were compared to 150 patients with bilateral NPDR and no CSME in both eyes. CSME and NPDR were graded according to Early Treatment of Diabetic Retinopathy Study criteria. Student's t-test, odds ratio and multiple logistic regression analysis were performed to analyze the duration of diabetes, body mass index (BMI), blood pressure(BP), total cholesterol, low density lipoprotein (LDL), high density lipoprotein (HDL), triglycerides (TG), fasting blood glucose (FBG), HbA1c, full blood count, serum creatinine and proteinuria between the two groups.
    RESULTS: Both groups were matched in terms of age, gender and ethnicity. Duration of diabetes, total serum cholesterol, serum LDL, FBG, HbA1c and serum creatinine were significantly higher in the CSME group (P<0.05). The hemoglobin, packed cell volume were significantly lower in the CSME group (p<0.05). There was no significant difference for serum HDL, TG, BMI, systolic and diastolic BP. Multiple logistic regression analysis showed that total serum cholesterol and HbA1c had significantly high odds of developing CSME.
    CONCLUSION: HbA1c and total cholesterol are the two most important risk factors associated with CSME in patients with NPDR.
    KEYWORDS: clinically significant macular edema; diabetes; risk factors
    Study site: Ophthalmology clinic, Hospital Melaka, Malaysia
    Matched MeSH terms: Diabetic Retinopathy
  9. Aljarousha M, Badarudin NE, Che Azemin MZ
    Malays J Med Sci, 2016 May;23(3):72-7.
    PMID: 27418872 MyJurnal
    INTRODUCTION: Diabetes may affect the human body's systems and organs, including the eye. Diabetic retinopathy is the 5th leading cause of blindness globally. Diabetic subjects demonstrated dry eye symptoms that were also supported by the low values of the clinical tests.
    PURPOSE: This study aimed to compare the dry eye symptoms and signs between diabetics and non-diabetics and tear functions between diabetic subjects with and without dry eye.
    METHODS: This retrospective study was based on the observation of 643 medical files. Using a convenience sampling method, 88 subjects were found to report diabetes mellitus. The information extracted from the files included: date of first examination, age at first visit, gender, past ocular history, systemic disease, symptoms of dry eye disease and details of clinical diagnostic signs. Non-contact lens wearers were excluded. A group of 88, age and gender matched, control subjects were included for this comparison study.
    RESULTS: The percentage of dry eye symptoms was higher in diabetic subjects (15.9%) compared with non-diabetic subjects (13.6%; p<0.001). The percentage of dry eye symptoms was also higher in diabetics with dry eye (63%) than in diabetics without dry eye (36.9%; p<0.001). Tear break up time was significantly different between diabetics and non-diabetics (p<0.001) and between diabetics with and without dry eye (p=0.046). The corneal staining was significantly different between diabetic subjects with and without dry eye (p=0.028).
    CONCLUSION: Dry eye symptoms were significantly associated with diabetics. Tear break up time was significantly shorter in diabetics with dry eye compared to diabetics without dry eye.
    KEYWORDS: Diabetes mellitus; cornea; dry eye syndromes; signs and symptoms; tears
    Study site: Klinik Kesihatan Jalan Hospital, Kuantan, Malaysia
    Matched MeSH terms: Diabetic Retinopathy
  10. Safi SZ, Qvist R, Kumar S, Batumalaie K, Ismail IS
    Biomed Res Int, 2014;2014:801269.
    PMID: 25105142 DOI: 10.1155/2014/801269
    The growing number of people with diabetes worldwide suggests that diabetic retinopathy (DR) and diabetic macular edema (DME) will continue to be sight threatening factors. The pathogenesis of diabetic retinopathy is a widespread cause of visual impairment in the world and a range of hyperglycemia-linked pathways have been implicated in the initiation and progression of this condition. Despite understanding the polyol pathway flux, activation of protein kinase C (KPC) isoforms, increased hexosamine pathway flux, and increased advanced glycation end-product (AGE) formation, pathogenic mechanisms underlying diabetes induced vision loss are not fully understood. The purpose of this paper is to review molecular mechanisms that regulate cell survival and apoptosis of retinal cells and discuss new and exciting therapeutic targets with comparison to the old and inefficient preventive strategies. This review highlights the recent advancements in understanding hyperglycemia-induced biochemical and molecular alterations, systemic metabolic factors, and aberrant activation of signaling cascades that ultimately lead to activation of a number of transcription factors causing functional and structural damage to retinal cells. It also reviews the established interventions and emerging molecular targets to avert diabetic retinopathy and its associated risk factors.
    Matched MeSH terms: Diabetic Retinopathy*
  11. Badsha S, Reza AW, Tan KG, Dimyati K
    J Digit Imaging, 2013 Dec;26(6):1107-15.
    PMID: 23515843 DOI: 10.1007/s10278-013-9585-8
    Diabetic retinopathy (DR) is increasing progressively pushing the demand of automatic extraction and classification of severity of diseases. Blood vessel extraction from the fundus image is a vital and challenging task. Therefore, this paper presents a new, computationally simple, and automatic method to extract the retinal blood vessel. The proposed method comprises several basic image processing techniques, namely edge enhancement by standard template, noise removal, thresholding, morphological operation, and object classification. The proposed method has been tested on a set of retinal images. The retinal images were collected from the DRIVE database and we have employed robust performance analysis to evaluate the accuracy. The results obtained from this study reveal that the proposed method offers an average accuracy of about 97 %, sensitivity of 99 %, specificity of 86 %, and predictive value of 98 %, which is superior to various well-known techniques.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis*
  12. Ng ZX, Kuppusamy UR, Poh R, Tajunisah I, Koay AC, Fong KC, et al.
    Genet. Mol. Res., 2012 Mar 01;11(1):455-61.
    PMID: 22427038 DOI: 10.4238/2012.March.1.2
    Diabetic retinopathy is the most common diabetic eye disease, occurring in about 60% of type 2 diabetic patients. Other than known clinical risk factors, the influence of genes has been suggested as part of the development of diabetic retinopathy. We investigated the association of Gly82Ser, 1704G/T and 2184A/G polymorphisms in the RAGE gene with retinopathy in type 2 diabetic patients in Malaysia. Ninety-eight unrelated retinopathy patients and 185 unrelated healthy controls from all over Malaysia were recruited in this study. The allele and genotype frequencies of the three gene polymorphisms were investigated using PCR-RFLP. The allele frequency of the three polymorphisms did not differ significantly between the control and the retinopathy group (P > 0.05). Analysis of the frequency of GA+AA, GT+TT and AG+GG in the retinopathy group did not reveal significant differences (P > 0.05) compared to the control group. We conclude that RAGE gene Gly82Ser, 1704G/T and 2184A/G polymorphisms are not associated with retinopathy development in the Malaysian population.
    Matched MeSH terms: Diabetic Retinopathy/genetics*
  13. Mallika PS, Aziz S, Goh PP, Lee PY, Cheah WL, Chong MS, et al.
    Med J Malaysia, 2012 Aug;67(4):369-74.
    PMID: 23082443
    This study aims to determine the risk factors associated with diabetic retinopathy (DR) among natives and non-natives Sarawakians who were seen at 3 public hospitals and one health clinic in Sarawak. It is a cross sectional study where data on patients with DM were collected by staff at these healthcare facilities and entered into the web-based Diabetic Eye Registry. Univariate and multivariate analysis was used to determine the association factors for DR. DR was significantly less associated with natives (24.4%) compared to non-native Sarawakians (34.1%) (p < 0.001). The odds of getting DR was higher in patients whose duration of DM was more than 20 years (OR = 2.6), who have renal impairment (OR = 1.7) and non-natives (OR = 1.4).
    Matched MeSH terms: Diabetic Retinopathy/ethnology*
  14. Bastion ML, Mustapha M, Ho I
    BMJ Case Rep, 2012;2012.
    PMID: 23093508 DOI: 10.1136/bcr-2012-007260
    To report a unique case of crystallisation in the anterior chamber and subretinal space in a Malay lady following inadvertent subretinal injection of ranibizumab prior to vitrectomy for proliferative diabetic retinopathy.
    Matched MeSH terms: Diabetic Retinopathy/drug therapy*
  15. Annamalai T, Fong KC, Choo MM
    J Ocul Pharmacol Ther, 2011 Feb;27(1):105-7.
    PMID: 21235384 DOI: 10.1089/jop.2010.0117
    To report a case of bilateral endogenous candida endophthalmitis treated with intravenous fluconazole.
    Matched MeSH terms: Diabetic Retinopathy/complications
  16. Tajunisah I, Azida J, Zurina ZA, Reddy SC
    Med J Malaysia, 2009 Jun;64(2):130-3.
    PMID: 20058572 MyJurnal
    Ophthalmology consultation is one of the commonest requested services for inpatients in a tertiary hospital. A total of 290 ophthalmology consultation requests were received over a period of six months (average 12 consultation requests per week) and from these, 222 patients were examined. The patient demographics, the hospitalization data, type of consultations (screening, new problem, preexisting problem), reasons for consultations and the ophthalmology diagnosis were determined. Out of 290 consultation requests, internal medicine services requested the highest number (95, 32.8%); the commonest type of consultation was screening for eye diseases (161, 55.5%) and the most common reason for consultation was to rule out diabetic retinopathy (125, 43.1%). The top five ophthalmology diagnoses after examination were diabetic retinopathy (45, 20.3%), diabetic retinopathy ruled out (37, 16.6%), conjunctivitis (12, 5.4%), refractive error (11, 4.8%) and normal ocular examination (11, 4.9%). Inpatient ophthalmologic procedures were performed in 146 patients, the commonest of which was retinal laser photocoagulation. A total of 133 (59.9%) inpatients had a change in their management as a result of the ophthalmology consultation.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis
  17. Reza AW, Eswaran C, Hati S
    J Med Syst, 2009 Feb;33(1):73-80.
    PMID: 19238899
    The detection of bright objects such as optic disc (OD) and exudates in color fundus images is an important step in the diagnosis of eye diseases such as diabetic retinopathy and glaucoma. In this paper, a novel approach to automatically segment the OD and exudates is proposed. The proposed algorithm makes use of the green component of the image and preprocessing steps such as average filtering, contrast adjustment, and thresholding. The other processing techniques used are morphological opening, extended maxima operator, minima imposition, and watershed transformation. The proposed algorithm is evaluated using the test images of STARE and DRIVE databases with fixed and variable thresholds. The images drawn by human expert are taken as the reference images. The proposed method yields sensitivity values as high as 96.7%, which are better than the results reported in the literature.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis
  18. Chew YK, Reddy SC, Karina R
    Med J Malaysia, 2004 Aug;59(3):305-11.
    PMID: 15727374 MyJurnal
    A cross sectional study was conducted to assess the level of awareness and knowledge of common eye diseases (cataract, glaucoma, diabetic retinopathy and refractive errors) among 473 academic staff (non-medical faculties) of University Malaya. The awareness of cataract was in 88.2%, diabetic retinopathy in 83.5%, refractive errors in 75.3% and glaucoma in 71.5% of the study population. The knowledge about all the above common eye diseases was moderate, except presbyopia which was poor. Multivariate analysis revealed that females, older people, and those having family history of eye diseases were significantly more aware and more knowledgeable about the eye diseases. Health education about eye diseases would be beneficial to seek early treatment and prevent visual impairment in the society.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis
  19. Zaini A
    Diabetes Res Clin Pract, 2000 Oct;50 Suppl 2:S23-8.
    PMID: 11024580 DOI: 10.1016/S0168-8227(00)00175-3
    Population studies all over the world have clearly showed that the prevalence of Type 2 diabetes mellitus (DM) is escalating at phenomenal scale and very likely we are heading towards epidemic proportions. In 1985, the estimated population of diabetic individuals in the world was 30 million but by 1995 this figure soared to 135 million. Based on current trends, epidemiologists predict that the population of diabetic individuals will swell up to a staggering 300 million by the year 2025. Almost half of that will be in the Asia Oceania region alone. Dr Hilary King of WHO pointed out that there will be a projected rise of about 42% in developed countries whereas the developing countries will see an escalation to the magnitude of 170% (H. King, R.E. Aubert, W.H. Herman, Global burden of diabetes, 1995-2025: prevalence, numerical estimates and projections, Diabetes Care 21 (1998) 1414-1431; WHO Health Report 1997, WHO Switzerland). There will be a 3-fold rise of the disease in Asia and much of these will be seen in China (40 million) and India (55 million) by virtue of the massive population of these countries. Nevertheless, the other rapidly developing Asian nations like Singapore, Malaysia, Thailand and those making up Indochina will experience the surge. At the same time the prevalence and incidence of diabetes complications will also increase. Based on recent WHO prediction (WHO Newsletter, The global burden of diabetes 1995-2025. World Diabetes 3 (1997) 5-6), it is estimated that by the year 2000 the following figures will be seen:Diabetes complications are major causes of premature death all over the world and most of these are avoidable. DCCT and UKPDS are landmark studies showing strong evidence that major complications can be drastically reduced by maintaining to near normoglycaemic control.
    Matched MeSH terms: Diabetic Retinopathy/epidemiology
  20. 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*
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