Displaying publications 21 - 40 of 128 in total

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  1. Ahmad Fadzil MH, Izhar LI, Nugroho HA
    Comput Biol Med, 2010 Jul;40(7):657-64.
    PMID: 20573343 DOI: 10.1016/j.compbiomed.2010.05.004
    Monitoring FAZ area enlargement enables physicians to monitor progression of the DR. At present, it is difficult to discern the FAZ area and to measure its enlargement in an objective manner using digital fundus images. A semi-automated approach for determination of FAZ using color images has been developed. Here, a binary map of retinal blood vessels is computer generated from the digital fundus image to determine vessel ends and pathologies surrounding FAZ for area analysis. The proposed method is found to achieve accuracies from 66.67% to 98.69% compared to accuracies of 18.13-95.07% obtained by manual segmentation of FAZ regions from digital fundus images.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis*; Diabetic Retinopathy/pathology
  2. Aibinu AM, Iqbal MI, Shafie AA, Salami MJ, Nilsson M
    Comput Biol Med, 2010 Jan;40(1):81-9.
    PMID: 20022595 DOI: 10.1016/j.compbiomed.2009.11.004
    The use of vascular intersection aberration as one of the signs when monitoring and diagnosing diabetic retinopathy from retina fundus images (FIs) has been widely reported in the literature. In this paper, a new hybrid approach called the combined cross-point number (CCN) method able to detect the vascular bifurcation and intersection points in FIs is proposed. The CCN method makes use of two vascular intersection detection techniques, namely the modified cross-point number (MCN) method and the simple cross-point number (SCN) method. Our proposed approach was tested on images obtained from two different and publicly available fundus image databases. The results show a very high precision, accuracy, sensitivity and low false rate in detecting both bifurcation and crossover points compared with both the MCN and the SCN methods.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis
  3. Mookiah MR, Acharya UR, Fujita H, Tan JH, Chua CK, Bhandary SV, et al.
    Comput Biol Med, 2015 Nov 1;66:295-315.
    PMID: 26453760 DOI: 10.1016/j.compbiomed.2015.09.012
    Diabetic Macular Edema (DME) is caused by accumulation of extracellular fluid from hyperpermeable capillaries within the macula. DME is one of the leading causes of blindness among Diabetes Mellitus (DM) patients. Early detection followed by laser photocoagulation can save the visual loss. This review discusses various imaging modalities viz. biomicroscopy, Fluorescein Angiography (FA), Optical Coherence Tomography (OCT) and colour fundus photographs used for diagnosis of DME. Various automated DME grading systems using retinal fundus images, associated retinal image processing techniques for fovea, exudate detection and segmentation are presented. We have also compared various imaging modalities and automated screening methods used for DME grading. The reviewed literature indicates that FA and OCT identify DME related changes accurately. FA is an invasive method, which uses fluorescein dye, and OCT is an expensive imaging method compared to fundus photographs. Moreover, using fundus images DME can be identified and automated. DME grading algorithms can be implemented for telescreening. Hence, fundus imaging based DME grading is more suitable and affordable method compared to biomicroscopy, FA, and OCT modalities.
    Matched MeSH terms: Diabetic Retinopathy
  4. 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
  5. Kamble R, Kokare M, Deshmukh G, Hussin FA, Mériaudeau F
    Comput Biol Med, 2017 08 01;87:382-396.
    PMID: 28595892 DOI: 10.1016/j.compbiomed.2017.04.016
    Accurate detection of diabetic retinopathy (DR) mainly depends on identification of retinal landmarks such as optic disc and fovea. Present methods suffer from challenges like less accuracy and high computational complexity. To address this issue, this paper presents a novel approach for fast and accurate localization of optic disc (OD) and fovea using one-dimensional scanned intensity profile analysis. The proposed method utilizes both time and frequency domain information effectively for localization of OD. The final OD center is located using signal peak-valley detection in time domain and discontinuity detection in frequency domain analysis. However, with the help of detected OD location, the fovea center is located using signal valley analysis. Experiments were conducted on MESSIDOR dataset, where OD was successfully located in 1197 out of 1200 images (99.75%) and fovea in 1196 out of 1200 images (99.66%) with an average computation time of 0.52s. The large scale evaluation has been carried out extensively on nine publicly available databases. The proposed method is highly efficient in terms of quickly and accurately localizing OD and fovea structure together compared with the other state-of-the-art methods.
    Matched MeSH terms: Diabetic Retinopathy/diagnosis; Diabetic Retinopathy/pathology
  6. Lee ZV, Arjan Singh RS
    Cureus, 2021 Jan 07;13(1):e12542.
    PMID: 33425567 DOI: 10.7759/cureus.12542
    Transient cortical blindness after coronary angiography has long been reported in the literature; however, this condition remains rare until today. We report a case of transient cortical blindness after coronary angiography, bypass graft angiography, and coronary angioplasty, which was deemed to be secondary to contrast agent. A 60-year-old man who underwent prior coronary artery bypass grafting (CABG) started to experience recurrence of exertional and resting chest pain one year after CABG. In addition to coronary artery disease, he has underlying type 2 diabetes mellitus, hypertension, and dyslipidemia. Due to technical reasons, he was unable to undergo a computed tomography (CT) angiography of the coronary arteries and bypass grafts. Invasive coronary and bypass graft angiography were done, followed by stenting of the left circumflex artery. Thirty minutes after completion of the procedure, the patient had bilateral blurring of vision, which worsened drastically to only being able to perceive light bilaterally. The patient otherwise did not have any other neurological deficits. Binocular indirect ophthalmoscopy revealed no significant abnormalities apart from mild non-proliferative diabetic retinopathy of the left eye. A non-contrasted CT scan of the brain revealed acute subarachnoid bleed in both occipital lobes, but a subsequent magnetic resonance imaging scan of the brain revealed no evidence of intracranial bleed. The patient's vision gradually improved eight hours after the index event, and his vision completely normalized 12 hours later. The patient was discharged well two days later, and at one-month, three-month, and six-month follow-up, the patient remained angina-free, and his vision had remained stable bilaterally.
    Matched MeSH terms: Diabetic Retinopathy
  7. Azidah AK, Hasniza H, Zunaina E
    Curr Gerontol Geriatr Res, 2012;2012:539073.
    PMID: 22693496 DOI: 10.1155/2012/539073
    The purpose of this study is to determine the prevalence of falls and its associated factors among elderly diabetes type 2 patients attending a tertiary center in Malaysia. We conducted a cross-sectional study among 288 elderly diabetes type 2. The data collected includes data on sociodemographic, diabetes history, comorbid diseases, drug use, and activity of daily living (Barthel's index). The patient also was examined physically, and balance and gait assessment was carried out. Prevalence of falls among elderly diabetes was 18.8%. Female gender (OR: 2.54, P < 0.05), age group more than 75 (OR: 2.97, P < 0.05), retinopathy (OR: 2.19, P < 0.05), and orthostatic hypotension (OR: 2.87, P < 0.05) were associated with higher risk for falls. High balance and gait score was associated with reduced risk of fall in elderly diabetes (OR: 0.89, P < 0.05). In conclusion, the factors that are associated with higher risk for falls among elderly diabetes were female sex, age group more than 75, presence of retinopathy, and orthostatic hypotension. Those who had higher balance and gait score were found to be less likely to fall compared with those with lower score.
    Study site: Hospital Universiti Sains Malaysia, Kelantan, Malaysia
    Questionnaires, Scales, Device: Tinetti Balance and Gait Assessment; 5.07 Semmes- Weinstein monofilament; Barthel’s index
    Study site: Diabetic clinic, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia
    Matched MeSH terms: Diabetic Retinopathy
  8. Abougalambou SS, Abougalambou AS
    Diabetes Metab Syndr, 2015 Apr-Jun;9(2):98-103.
    PMID: 25470640 DOI: 10.1016/j.dsx.2014.04.019
    BACKGROUND: Diabetic retinopathy (DR) is the leading cause of blindness in the United States and it is the leading cause of new cases of blindness in adults aged 20-74. It is estimated that about 20% of patients with type 2 DM have evidence of diabetic retinopathy at diagnosis with diabetes.
    OBJECTIVE: To evaluate the prevalence of DR and to determine risk factors related to diabetic retinopathy among type 2 diabetes patients attending endocrinology clinics at Hospital Universiti Sains Malaysia (HUSM).
    SUBJECTS AND METHODS: The study design was observational prospective longitudinal follow-up study, the study was conducted with sample of 1077 type 2 diabetes mellitus outpatient recruited via attended the diabetes clinics at HUSM. Diagnosis of retinopathy is based on finding the diagnostic signs of retinopathy on eye exams by fundoscopy. Logistic regression analysis was used to assess the independent variables that affect the development of retinopathy.
    RESULTS: The prevalence of retinopathy was 39.3%. It has been noticed from this study findings, that the progression of retinopathy is been influenced by five independent risk factors such as duration of diabetes, presence neuropathy, total cholesterol at second and third visit and createnine clearance.
    CONCLUSION: DR is highly prevalent among type 2 DM. The progression of retinopathy is been influenced by five independent risk factors such as duration of diabetes, presence neuropathy, total cholesterol at second and third visit and createnine clearance. DR is a serious diabetic complication and public health strategies are required in order to reduce its risk factors and decrease its prevalence.
    KEYWORDS: Prevalence; Retinopathy; Risk factors; Type 2 diabetes mellitus
    Study site: Endocrinology clinics, Hospital Universiti Sains Malaysia (HUSM), Kelantan, Malaysia
    Matched MeSH terms: Diabetic Retinopathy/etiology*; Diabetic Retinopathy/metabolism; Diabetic Retinopathy/epidemiology
  9. 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/blood; Diabetic Retinopathy/epidemiology*; Diabetic Retinopathy/physiopathology
  10. Ng ZX, Kuppusamy UR, Tajunisah I, Fong KC, Chua KH
    Diabetes Res Clin Pract, 2012 Mar;95(3):372-7.
    PMID: 22154374 DOI: 10.1016/j.diabres.2011.11.005
    Conflicting results have been reported in different populations on the association between two particular RAGE gene polymorphisms (-429T/C and -374T/A) and retinopathy in diabetic patients. Therefore this study was designed to assess the association between both gene polymorphisms with retinopathy in Malaysian diabetic patients. A total of 342 type 2 diabetic patients [171 without retinopathy (DNR) and 171 with retinopathy (DR)] and 235 healthy controls were included in this study. Genomic DNA was obtained from blood samples and the screening for the gene polymorphisms was done using polymerase chain reaction-restriction fragment length polymorphism approach. Overall, the genotype distribution for both polymorphisms was not statistically different (p>0.05) among the control, DNR and DR groups. The -429C minor allele frequency of DR group (12.0%) was not significantly different (p>0.05) when compared to DNR group (16.1%) and healthy controls (11.3%). The -374A allele frequency also did not differ significantly between the control and DNR (p>0.05), control and DR (p>0.05) as well as DNR and DR groups (p>0.05). This is the first study report on RAGE gene polymorphism in Malaysian DR patients. In conclusion, -429T/C and -374T/A polymorphisms in the promoter region of RAGE gene were not associated with Malaysian type 2 DR patients.
    Matched MeSH terms: Diabetic Retinopathy/genetics*
  11. 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
  12. Wan Nazaimoon WM, Letchuman R, Noraini N, Ropilah AR, Zainal M, Ismail IS, et al.
    Diabetes Res Clin Pract, 1999 Dec;46(3):213-21.
    PMID: 10624787 DOI: 10.1016/s0168-8227(99)00095-9
    This cross-sectional study looked at the prevalence of microalbuminuria and retinopathy in a cohort of 926 young, Type 1 and Type 2 diabetes mellitus (DM) patients, and determined the factors which were associated with these microvascular complications. The prevalence of microalbuminuria, defined as the albumin:creatinine ratio > or = 2.5 (for males) or > or = 3.5 mg/mmol (for females), was 13.4% in Type 1 DM, 69.5% in insulin-requiring Type 2 DM and 16% in Type 2 DM treated only with oral hypoglycemic agents. Compared to those with normal renal functions, these patients were older (P < or = 0.01), had significantly elevated blood pressures (P < 0.01 or P = 0.0001), and in the case of Type 1 DM, with a higher body mass index (P = 0.0001) and waist-hip ratio (P < 0.01). The prevalence of diabetic retinopathy in Type 1 DM was found to increase with the duration of diabetes, from 1.4% in the newly-onset (< 5 years), to 9.9% in those with 5-10 years disease, to 35% among patients with more than 10 years of diabetes (P < 0.0001). In this study, it was also observed that 10% of the Type 2 DM patients already had retinopathy within 5 years of diagnosis, and the prevalence increased significantly to 42.9% (P < 0.0001) among patients who had been diabetics for more than 10 years. Stepwise multiple regression analysis showed that besides the disease duration, systolic blood pressure was the most common and significant determinant for both microalbuminuria and retinopathy in both types of DM, thus implying that in order to reduce the risk of microvascular complications in diabetes mellitus, systolic and not just the diastolic blood pressure, should be effectively controlled.
    Matched MeSH terms: Diabetic Retinopathy/etiology*
  13. Lim ASM
    Family Practitioner, 1982;5:29-32.
    Matched MeSH terms: Diabetic Retinopathy
  14. Pusparajah P, Lee LH, Abdul Kadir K
    Front Physiol, 2016;7:200.
    PMID: 27313539 DOI: 10.3389/fphys.2016.00200
    Diabetic retinopathy (DR) is among the leading causes of new onset blindness in adults. Effective treatment may delay the onset and progression of this disease provided it is diagnosed early. At present retinopathy can only be diagnosed via formal examination of the eye by a trained specialist, which limits the population that can be effectively screened. An easily accessible, reliable screening biomarker of diabetic retinopathy would be of tremendous benefit in detecting the population in need of further assessment and treatment. This review highlights specific biomarkers that show promise as screening markers to detect early diabetic retinopathy or even to detect patients at increased risk of DR at the time of diagnosis of diabetes. The pathobiology of DR is complex and multifactorial giving rise to a wide array of potential biomarkers. This review provides an overview of these pathways and looks at older markers such as advanced glycation end products (AGEs), inflammatory markers, vascular endothelial growth factor (VEGF) as well as other newer proteins with a role in the pathogenesis of DR including neuroprotective factors such as brain derived neurotrophic factor (BDNF) and Pigment Epithelium Derived Factor (PEDF); SA100A12, pentraxin 3, brain natriuretic peptide, apelin 3, and chemerin as well as various metabolites such as lipoprotein A, folate, and homocysteine. We also consider the possible role of proteins identified through proteomics work whose levels are altered in the sera of patients with DR as screening markers though their role in pathophysiology remains to be characterized. The role of microRNA as a promising new screening marker is also discussed.
    Matched MeSH terms: Diabetic Retinopathy*
  15. Ng ZX, Kuppusamy UR, Iqbal T, Chua KH
    Gene, 2013 Jun 1;521(2):227-33.
    PMID: 23545311 DOI: 10.1016/j.gene.2013.03.062
    Receptor for advanced glycation end-product (RAGE) gene polymorphism 2245G/A is associated with diabetic retinopathy (DR). However, the mechanism on how it affects the disease development is still unclear.
    Matched MeSH terms: Diabetic Retinopathy/genetics*; Diabetic Retinopathy/metabolism
  16. 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*
  17. Mah HY, Ishak WS, Abd Rahman MH
    Geriatr Gerontol Int, 2020 Oct;20(10):911-916.
    PMID: 32820857 DOI: 10.1111/ggi.14011
    The present study aimed to examine the prevalence of dual sensory impairment, and to identify its risk factors among community-dwelling older adults in Selangor.

    METHODS: Secondary analysis was carried out on data collected by the Grand Challenge Project among older adults aged ≥65 years from Selangor. Data on sociodemographic information, medical history, cognitive function and functional performance were obtained through face-to-face interviews using standardized questionnaires. Visual acuity was measured using the Early Treatment Diabetic Retinopathy Study (ETDRS) chart while hearing was assessed using pure-tone audiometry. Descriptive analysis was used to measure the prevalence of the impairments, and logistic regression analysis was used to identify the risk factors.

    RESULTS: The prevalence of dual sensory impairment and hearing impairment were at 10.5% and 76.2% respectively. Multivariate logistic regression analysis revealed that participants with lower cognitive scores were associated with dual sensory impairment (odds ratio, 0.90; 95% confidence interval, 0.83-0.98), while smoking was found associated with hearing impairment (odds ratio, 6.58; 95% confidence interval, 1.51-28.65).

    CONCLUSION: Dual sensory impairment is common among older adults in Selangor. The association between dual sensory impairment and cognitive function suggests the need to have visual and hearing screening on older adults for early detection particularly those at risk of cognitive impairment. The prevalence of hearing impairment was reported high among older adults and smokers appeared to be at higher risk of the impairment. Geriatr Gerontol Int 2020; 20: 911-916.

    Matched MeSH terms: Diabetic Retinopathy
  18. Mohamad M
    Hosp Med, 2003 Nov;64(11):673-6.
    PMID: 14671880 DOI: 10.12968/hosp.2003.64.11.2350
    Matched MeSH terms: Diabetic Retinopathy/etiology; Diabetic Retinopathy/pathology; Diabetic Retinopathy/therapy
  19. Mohd Aznan MA, Khairidzan MK, Razman MR, Fa’iza A
    MyJurnal
    Introduction: Diabetic retinopathy (DR) is one of the commonest complications of diabetes mellitus. This study was to determine the prevalence of DR and its association with chronic kidney disease (CKD), high HbA1c and dyslipidemia among diabetic patients in government primary care clinics.
    Materials and Methods: A cross sectional study was carried out. The respondents were selected from diabetic registry at two government primary care clinics in Kuantan, Pahang via stratified random sampling method during the study period from May 2010 to April 2011. The respondents were interviewed and assessed clinically using a structured questionnaire. Retinal examination was performed by accredited staff using non-mydratic retinal imaging and DR was classified according to the International Clinical Diabetic Retinopathy Disease Severity Scale.
    Results: Out of 400 respondents, 58.8% were diagnosed with diabetes less than 5 years and 51.0% had uncontrolled blood pressure (>130/80 mmHg). The prevalence of DR and maculopathy were 33.5% and of 17.8% respectively. Most of these patients (22.3%) had mild non-proliferative DR. DR patients had higher percentages CKD (17.9% vs. 6.8%; p<0.001) and a higher mean of HbA1C (8.69 vs. 8.11; p=0.015) compared to non-DR patients. The study revealed that DR was independently associated with CKD {OR: 3.46, 95% CI (1.76, 6.80)} and high HbA1c {OR: 1.12, 95% CI (1.02, 1.23)}. Those with dyslipidemia however, has 39% less risk of DR {OR: 0.61, 95% CI (0.39, 0.94)}.
    Conclusion: This study showed that diabetic patients with CKD and high HbA1c have greater risks to develop DR but has protective risk with dyslipidemia.
    KEYWORDS: diabetic retinopathy (DR), non-mydratic retinal camera, primary care clinic
    Matched MeSH terms: Diabetic Retinopathy
  20. Sharma DS, Wadhwa S, Gulati M, Kumar B, Chitranshi N, Gupta VK, et al.
    Int J Biol Macromol, 2023 Jan 01;224:810-830.
    PMID: 36302483 DOI: 10.1016/j.ijbiomac.2022.10.168
    Diabetic retinopathy (DR) is one of the chronic complications of diabetes. It includes retinal blood vessels' damage. If untreated, it leads to loss of vision. The existing treatment strategies for DR are expensive, invasive, and need expertise during administration. Hence, there is a need to develop a non-invasive topical formulation that can penetrate deep to the posterior segment of retina and treat the damaged retinal vessels. In addition, it should also provide sustained release. In recent years, novel drug delivery systems (NDDS) have been explored for treating DR and found successful. In this study, chitosan (CS) modified 5-Fluorouracil Nanostructured Lipid Carriers (CS-5-FU-NLCs) were prepared by modified melt emulsification-ultrasonication method and optimized by Box-Behnken Design. The size, polydispersity index, zeta potential and entrapment efficiency of CS-5-FU-NLCs were 163.2 ± 2.3 nm, 0.28 ± 1.52, 21.4 ± 0.5 mV and 85.0 ± 0.2 %, respectively. The in vitro drug release and ex vivo permeation study confirmed higher and sustained drug release in CS-5-FU-NLCs as compared to 5-FU solution. HET-CAM Model ensured the non-irritant nature of CS-5-FU-NLCs. In vivo ocular studies of CS-5-FU-NLCs confirmed antiangiogenic effect of 5-FU by CAM model and diabetic retinopathy induced rat model, indicating successful delivery of 5-FU to the retina.
    Matched MeSH terms: Diabetic Retinopathy*
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