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Följsamhet till ögonbottenscreening vid diabetes : En litteraturöversikt / Compliance in diabetic retinal screening : A literature reviewMagnusson, Linda, Roos, Reneè January 2021 (has links)
Bakgrund: Diabetes Mellitus är en sjukdom med potentiellt allvarliga konsekvenser som drabbar ett ökande antal människor runt om i världen. En av de ögonkomplikationer som kan drabba diabetiker är diabetesretinopati. Regelbunden ögonbottenscreening kan avslöja förändringar i ögonbotten innan de ger symtom eller synhotande skador som kan vara irreversibla. Tidig diagnos och behandling minskar risken för synnedsättning och blindhet, trots detta uteblir många diabetiker från planderad ögonbottenscreening. Syfte: Syftet var att belysa erfarenheter som påverkar följsamheten vid ögonbottenscreening hos patienter med diabetes. Metod: En litteraturöversikt med kvalitativa studier utfördes. Resultat: Översikten resulterade i fyra huvudteman; information,ekonomiska aspekter, personliga erfarenheter och erfarenhet vid ögonbottenscreening samt i elva underteman. De viktigaste faktorerna som framkom av studien var bristande information, ekonomi, transportproblematik samt besvär av pupillvidgande ögondroppar. Slutsats: Denna studie har identifierat faktorer och erfarenheter som påverkar följsamheten till ögonbottenscreening vilket kan ge möjlighet till en bättre förståelse för patienternas behov och till ett förbättrat samarbete mellan olika vårdinstanser. / Background: Diabetes Mellitus is a common disease with potentially serious consequences that affects an increasing number of people worldwide. One of the complications that can affect the eye of a patient with diabetes is diabetic retinopathy. Regular retinal screening can reveal early signs of diabetic retinopathy before any irreversible sight threatening retinal complications have developed. Early diagnosis and treatment decrease the risk for visual impairment and blindness, despite this fact many patients do not attend this examination. Aim: The aim was to illuminate experiences that affects compliance to retinal screening among patients with diabetes. Method: A literature review including qualitative studies was conducted. Results: The results from the review showed four main themes; information, economic aspects, personal experiences and experience from retinal screening as well as eleven subthemes. The main subjects that emerged were lack of information, economy, transportation problems and inconvenience of mydriatic eye drops. Conclusion: This literature review has identified factors and experiences that affects compliance to retinal screening. This can provide an opportunity for a better understanding of patients’ needs and for improved collaboration between healthcare institutions
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Imaging Data on Characterization of Retinal Autofluorescent Lesions in a Mouse Model of Juvenile Neuronal Ceroid Lipofuscinosis (CLN3 Disease)Wang, Qing Jun, Jung, Kyung Sik, Mohan, Kabhilan, Kleinman, Mark E. 01 October 2020 (has links)
Juvenile neuronal ceroid lipofuscinosis (JNCL, aka. juvenile Batten disease or CLN3 disease), a lethal pediatric neurodegenerative disease without cure, often presents with vision impairment and characteristic ophthalmoscopic features including focal areas of hyper-autofluorescence. In the associated research article “Loss of CLN3, the gene mutated in juvenile neuronal ceroid lipofuscinosis, leads to metabolic impairment and autophagy induction in retinal pigment epithelium” (Zhong et al., 2020) [1], we reported ophthalmoscopic observations of focal autofluorescent lesions or puncta in the Cln3Δex7/8 mouse retina at as young as 8 month old. In this data article, we performed differential interference contrast and confocal imaging analyses in all retinal layers to localize and characterize these autofluorescent lesions, including their spectral characteristics and morphology. We further studied colocalization of these autofluorescent lesions with the JNCL marker mitochondrial ATP synthase F0 sub-complex subunit C and various established retinal cell type markers.
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Retinopathy of Prematurity: An Oxidative Stress Neonatal DiseaseStone, William L., Shah, Darshan, Hollinger, Shawn M. 01 January 2016 (has links)
Proteomics is the global study of proteins in an organism or a tissue/fluid and is clinically relevant since most disease states are accompanied by specific alterations in an organism's proteome. This review focuses on the application of proteomics to neonatology with particular emphasis on retinopathy of prematurity (ROP), which is a disease in which oxidative stress plays a key pathophysiological role. Oxidative stress is a physiologically relevant redox imbalance caused by an excess of reactive oxygen (ROS) or reactive nitrogen oxide species (RNOS). A major conclusion of this review is that proteomics may be the optimal technology for studying neonatal diseases such as ROP, particularly in the setting of a neonatal intensive care unit (NICU). Proteomics has already identified a number of ROP serum biomarkers. This review will also suggest novel therapeutic approaches to ROP and other neonatal oxidative stress diseases (NOSDs) based on a systems medicine approach.
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Predictive Relationship between Treatment Adherence, Glycated Hemoglobin and Diabetic Complications Among JamaicansNwaukwa, Christian Anaba 01 January 2018 (has links)
Patient nonadherence to physicians' prescribed therapeutic regimen is the greatest challenge in the effective treatment of patients with diabetes worldwide. Scientific evidence has revealed that nonadherence to prescribed medication could result in diabetic complications such as cardiovascular disease, retinopathy, nephropathy, and neuropathic diabetic foot ulcers. The purpose of this study was to explore predictive relationships between levels of adherence to antidiabetic medications, patient HbA1c levels, and diabetic complications among Jamaicans, an understudied population. The research question that guided this study was: Do the patient level of adherence and HbA1c levels have any predictive relationship with the severity of diabetic complications (cardiovascular disease, retinopathy, nephropathy and neuropathic foot ulcer) among Jamaicans after controlling for age and gender? The theory of planned behavior was used to guide the study. Data regarding diabetic complications were collected from 119 records during a cross-sectional review of patient dockets. Level of adherence was determined from an interviewer-administered Morisky 8-item adherence scale. A multiple regression analysis revealed that lower levels of patient adherence to treatment and higher HbA1c levels predicted greater severity of cardiovascular disease (p = .000; p = .000), retinopathy (p = .009; p =.090), nephropathy (p =.007; p =.001) and diabetic neuropathic foot ulcers (p =.027; p =.001). Findings from this study will contribute to the knowledge base on diabetic medication nonadherence and may encourage health care professionals to advocate for better medication adherence strategies among people with diabetes.
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IMNets: Deep Learning Using an Incremental Modular Network Synthesis Approach for Medical Imaging ApplicationsAli, Redha January 2021 (has links)
No description available.
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Controlled polymerization for drug delivery to the eyeProsperi-Porta, Graeme January 2015 (has links)
ABSTRACT
Effective drug delivery to ocular tissues is an unmet challenge that has significant potential to improve the treatment of ocular diseases. Whether the intended drug delivery target is the anterior or posterior segment, the eye’s efficient natural protection mechanisms prevent effective and sustained drug delivery. Anatomical and physiological barriers including the rapid tear turnover that effectively washes away topically applied drugs, the impermeable characteristics of the cornea, conjunctiva, and sclera, and the tight junctions in the blood-ocular barriers make conventional drug delivery methods ineffective. New materials that are able to overcome these barriers are essential to improving the sustained delivery of ophthalmic therapeutics to the intended targets within the eye. This thesis will explore two polymeric drug delivery systems that have the potential to improve therapeutic delivery to ocular tissues. Chapter 1 will discuss the anatomical and physiological barriers to ophthalmic drug delivery and overview current research in this area. Chapter 2 will discuss the synthesis of N-isopropylacrylamide-based copolymers with adjustable gelation temperatures based on composition and molecular weight. Chapter 3 will discuss further development of these copolymers into an injectable, thermoresponsive, and resorbable polymeric drug delivery system intended for the treatment of diseases in the posterior segment. Chapter 4 will discuss the development of mucoadhesive polymeric micelle nanoparticles based on phenylboronic acid intended for topical administration of ophthalmic therapeutics. Finally, Chapter 5 will provide an overview of potential future work on these materials that could further develop and broaden their therapeutic use. / Thesis / Master of Science in Biomedical Engineering
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Four-year incidence of diabetic retinopathy in the Los Angeles Latino Eye Study (LALES): Evaluation of how biologic risk indicators and barriers to treatment contribute to disease developmentAllison, Jessica Chung 24 June 2008 (has links)
No description available.
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A Deep Learning Based Pipeline for Image Grading of Diabetic RetinopathyWang, Yu 21 June 2018 (has links)
Diabetic Retinopathy (DR) is one of the principal sources of blindness due to diabetes mellitus. It can be identified by lesions of the retina, namely microaneurysms, hemorrhages, and exudates. DR can be effectively prevented or delayed if discovered early enough and well-managed. Prior studies on diabetic retinopathy typically extract features manually but are time-consuming and not accurate. In this research, we propose a research framework using advanced retina image processing, deep learning, and a boosting algorithm for high-performance DR grading. First, we preprocess the retina image datasets to highlight signs of DR, then follow by a convolutional neural network to extract features of retina images, and finally apply a boosting tree algorithm to make a prediction based on extracted features. Experimental results show that our pipeline has excellent performance when grading diabetic retinopathy images, as evidenced by scores for both the Kaggle dataset and the IDRiD dataset. / Master of Science / Diabetes is a disease in which insulin can not work very well, that leads to long-term high blood sugar level. Diabetic Retinopathy (DR), a result of diabetes mellitus, is one of the leading causes of blindness. It can be identified by lesions on the surface of the retina. DR can be effectively prevented or delayed if discovered early enough and well-managed. Prior image processing studies of diabetic retinopathy typically detect features manually, like retinal lesions, but are time-consuming and not accurate. In this research, we propose a framework using advanced retina image processing, deep learning, and a boosting decision tree algorithm for high-performance DR grading. Deep learning is a method that can be used to extract features of the image. A boosting decision tree is a method widely used in classification tasks. We preprocess the retina image datasets to highlight signs of DR, followed by deep learning to extract features of retina images. Then, we apply a boosting decision tree algorithm to make a prediction based on extracted features. The results of experiments show that our pipeline has excellent performance when grading the diabetic retinopathy score for both Kaggle and IDRiD datasets.
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The impact of early nutrition on extremely preterm infantsStoltz Sjöström, Elisabeth January 2014 (has links)
Background Modern neonatal care has improved the survival rate of extremely preterm infants. These infants are at high risk of malnutrition and growth failure during 3-4 months of hospital care. The objectives of this study was to investigate nutritional intakes during hospitalization and explore associations between nutritional intakes, postnatal growth and retinopathy of prematurity (ROP). Perioperative nutrition in infants undergoing surgery for patent ductus arteriosus (PDA) was also investigated. Methods This is a population-based study of Swedish extremely preterm infants (<27 weeks) born during 2004-2007 (n=602). Detailed data on nutritional supply and anthropometric measurements during hospitalization were retrospectively retrieved from hospital records. Comprehensive data on cohort characteristics, neonatal morbidity and infant mortality were obtained from the Extremely Preterm Infants in Sweden Study (EXPRESS). Results During the first 70 days of life, intakes of energy, protein and several micronutrients, with the exception of iron and some vitamins, were less than estimated requirements, and infants showed severe postnatal growth failure. Energy and protein intake predicted growth in all anthropometric outcomes even when adjusting for severity of illness, and fat intake was positively associated with head growth. Low folate intake was positively correlated with poor weight and length gain while high iron intake, mainly explained by blood transfusions, was negatively associated with poor length gain. Furthermore, a low energy intake was associated with severe ROP (stage 3-5). An increased energy intake of 10 kcal/kg/d was associated with 24% decrease in severe ROP (p=0.01). During the first month, 99% of the infants were exclusively fed human milk. Infants who underwent surgery for PDA (n=140) were malnourished, with energy and macronutrient intakes below minimum estimated requirements before, during and after surgery. Conclusions The severe postnatal growth failure observed in Swedish extremely preterm infants may be prevented by improved intakes of energy, protein, fat and folate and a reduction of the number of blood transfusions. Human milk is the main enteral food source and analyses of human milk macronutrient contents facilitates individualized fortification. Provision of adequate energy intakes during the first four weeks of life may be an effective way to reduce the risk of severe ROP. Perioperative nutrition in infants undergoing PDA surgery needs to be improved. The study results have important implications for nutritional regimens, postnatal growth and health outcome in this new generation of survivors.
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Neuron-Derived Semaphorin 3A is an Early Inducer of Vascular Permeability in Diabetic RetinopathyCerani, Agustin 12 1900 (has links)
La détérioration de la barrière hémato rétinienne et l'oedème maculaire consécutif est une manifestation cardinale de la rétinopathie diabétique (RD) et la caractéristique clinique la plus étroitement associée à la perte de la vue. Alors que l'oedème maculaire affecte plus de 25% des patients souffrant de diabète, les modalités de traitement actuellement disponibles tels que les corticostéroïdes administrés localement et les thérapies anti-VEGF récemment approuvés présentent plusieurs inconvénients. Bien que le lien entre une rupture de l’unité neuro-vasculaire et la pathogénèse de la RD ait récemment été établi, l’influence de la signalisation neuro-vasculaire sur la vasculopathie oculaire diabetique a jusqu’à présent reçu peu d’attention. Ici, à l’aide d’ètudes humaines et animales, nous fournissons la première preuve du rôle essentiel de la molécule de guidage neuronale classique Sémaphorine 3A dans l’instigation de la perméabilité vasculaire maculaire pathologique dans le diabète de type 1. L’étude de la dynamique d’expression de Sémaphorine 3A révèle que cette dernière est induite dans les phases précoces hyperglycèmiques du diabète dans la rétine neuronale et participe à la rupture initiale de la fonction de barrière endothéliale. En utilisant le modèle de souris streptozotocine pour simuler la rétinopathie diabétique humaine, nous avons démontré par une série d’approches analogue que la neutralisation de Sémaphorine 3A empêche de façon efficace une fuite vasculaire rétinienne. Nos résultats identifient une nouvelle cible thérapeutique pour l’oedème maculaire diabétique en plus de fournir d’autres preuves de communication neuro-vasculaire dans la pathogènese de la RD. / The deterioration of the blood retinal barrier and consequent macular edema is a cardinal manifestation of diabetic retinopathy (DR) and the clinical feature most closely associated with loss of sight. While macular edema affects over 25% of patients suffering from diabetes, currently available treatment modalities such as locally administered corticosteroids and recently approved anti-VEGF therapies, present several drawbacks. Although recent insight on the pathogenesis of DR points to a breakdown in the neurovascular unit, neurovascular cross-talk and its influence on diabetic ocular vasculopathy has thus far received limited attention. Here we provide the first evidence from both human and animal studies for the critical role of the classical neuronal guidance cue Semaphorin3A in instigating pathological macular vascular permeability in type I diabetes. Investigation of the dynamics of expression reveal that Semaphorin3A is induced in the early hyperglycemic phases of diabetes within the neuronal retina and precipitates initial breakdown of endothelial barrier function. Using the streptozotocin mouse model as a proxy for human diabetic retinopathy, we demonstrate by a series of orthogonal approaches (gene silencing or treatment with soluble Neuropilin-1 employed as a Semaphorin3A trap), that neutralization of Semaphorin3A efficiently prevents retinal vascular leakage. Our findings identify a new therapeutic target for DME and provide further evidence for neurovascular cross-talk in pathogenesis of DR.
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