Vitamin D Levels in Young Adult Cataract Patients: A Case-Control Study

Öktem, Çağlar; Aslan, Fatih

doi:10.1159/000509602

Cited by 11 publications

(5 citation statements)

References 28 publications

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“…Men with higher levels of serum 25-hydroxyvitamin D exhibited a reduced risk of age-related cataracts compared to those with lower levels of serum 25-hydroxyvitamin D [ 83 ]. A statistically significant association between vitamin D deficiency and the onset of early age-related cataracts was observed by Öktem Ç [ 84 ]. To sum up, the evidence linking cataract and vitamin D 3 remains very limited and contrasting.…”

Section: Cataractmentioning

confidence: 99%

The Role of Vitamin D3 in Ocular Diseases

Mrugacz,

Pieńczykowska,

Bryl

2024

Nutrients

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Vitamin D3 plays a vital role in numerous physiological processes within the human body, including having a positive effect on eye health. It is renowned for its immunomodulatory, anti-inflammatory, antioxidant, and angiogenic properties. Its deficiency is evolving into a significant global challenge. In order to explain the connection between vitamin D3 and various ocular diseases, 84 relevant studies, mainly from the PubMed database, published in English between 1999 and 2024 were analyzed. Ocular tissues can activate and regulate vitamin D levels, which emphasizes the significance of this nutrient in maintaining eye homeostasis. While there is suggestive evidence for a probable association between vitamin D3 and ocular health, more robust research is needed to establish causation and inform clinical guidelines.

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Section: Cataractmentioning

confidence: 99%

The Role of Vitamin D3 in Ocular Diseases

Mrugacz,

Pieńczykowska,

Bryl

2024

Nutrients

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“…In addition, among different types of age-related cataract, cases of nuclear cataract were characterized by the lowest level of vitamin D [ 134 ]. Moreover, vitamin D deficiency in serum was found to be associated with age-related cataract, including the early form of disease [ 135 , 136 ]. Interestingly, studies indicate that the risk of nuclear cataract is inversely correlated with the serum level of 25-hydroxyvitamin D, with it appearing to have a protective role against nuclear cataract [ 137 , 138 ].…”

Section: Vitamin D Vdr and Calcitriol Analogues In Ocular Diseasesmentioning

confidence: 99%

Vitamin D, the Vitamin D Receptor, Calcitriol Analogues and Their Link with Ocular Diseases

Caban

Lewandowska

2022

Nutrients

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The global prevalence of eye diseases continues to grow, bringing with it a reduction in the activity levels and quality of life of patients, and partial or complete blindness if left untreated. As such, there is considerable interest in identifying more effective therapeutic options and preventive agents. One such agent is vitamin D, known to have a range of anti-cancer, anti-angiogenic, anti-inflammatory and anti-oxidative properties, and whose deficiency is linked to the pathogenesis of a range of cardiovascular, cancer, and inflammatory diseases. This review presents the current stage of knowledge concerning the link between vitamin D and its receptor and the occurrence of eye disease, as well as the influence of analogues of calcitriol, an active metabolite of vitamin D. Generally, patients affected by various ocular disorders have vitamin D deficiency. In addition, previous findings suggest that vitamin D modulates the course of eye diseases and may serve as a marker, and that its supplementation could mitigate some disorders. However, as these studies have some limitations, we recommend further randomized trials to clarify the link between vitamin D and its activity with eye disease.

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“…Some of the retinal disorders are Cataract, DR (Diabetic Retinopathy), Glaucoma, AMD (Aged Macular Degeneration), RP (Retinitis Pigmentosa), [4][5] etc. Cataracts are the leading cause of vision loss in aged and younger individuals [6][7]. The risk factors related to cataracts are people over 40 years, uncontrolled diabetes, steroid usage, family history, trauma in the eye, UV (Ultra-Violet) light exposure, [8] etc.…”

Section: Introductionmentioning

confidence: 99%

Eye-Vision Net: Cataract Detection and Classification in Retinal and Slit Lamp Images using Deep Network

Saju¹,

R²

2022

IJACSA

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In the modern world, cataracts are the predominant cause of blindness. Early treatment and detection can reduce the number of cataract patients and prevent surgery. However, cataract grade classification is necessary to control risk and avoid blindness. Previously, various studies focused on developing a system to detect cataract type and grade. However, the existing works on cataract detection does not provide optimal results because of high detection error, lack of learning ability, computational complexity issues, etc. Therefore, the proposed work aims to develop an effective deep learning techniques for detecting and classifying cataracts from the given input samples. Here, the cataract detection and classification are performed using two phases. In order to provide an accurate cataract detection, the proposed study introduced Deep Optimized Convolutional Recurrent Network_Improved Aquila Optimization (Deep OCRN_IAO) model in phase I. Here, both retinal and slit lamp images are utilized for cataract detection. Then, the performance of these two image datasets are analysed, and the best one is chosen for cataract type and grade classification. By analysing the performance, the slit lamp images attain higher results. Therefore, phase II uses slit lamp images and detects the type and grade of cataracts through the proposed Batch Equivalence ResNet-101 (BE_ResNet101) model. The proposed classification model is highly efficient to classify the type and grades of cataracts. The experimental setup is done using MATLAB software, and the datasets used for simulation purposes are DRIMDB (Diabetic Retinopathy Images Database) and real-time slit lamp images. The proposed type and grade detection model has an accuracy of 98.87%, specificity of 99.66%, the sensitivity of 98.28%, Youden index of 95.04%, Kappa of 97.83%, and F1-score is 95.68%. The obtained results and comparative analysis proves that the proposed model is highly suitable for cataract detection and classification.

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Vitamin D Levels in Young Adult Cataract Patients: A Case-Control Study

Cited by 11 publications

References 28 publications

The Role of Vitamin D3 in Ocular Diseases

The Role of Vitamin D3 in Ocular Diseases

Vitamin D, the Vitamin D Receptor, Calcitriol Analogues and Their Link with Ocular Diseases

Eye-Vision Net: Cataract Detection and Classification in Retinal and Slit Lamp Images using Deep Network

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