Is there a relationship between hypoparathyroidism and retinal microcirculation?

Hekimsoy, Hilal Kılınç; Şekeroğlu, Mehmet Ali; Önder, Çağatay Emir; Kuşkonmaz, Şerife Mehlika

doi:10.1007/s10792-020-01387-4

Cited by 4 publications

(2 citation statements)

References 15 publications

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“…Compared with the normal control group, postmenopausal women with primary hyperparathyroidism have retinal microvascular stenosis 30 , which might lead to retinal ischemia and further retinopathy. On the contrary, a study by Hekimsoy et al 31 suggested that low parathyroid hormone concentrations might be associated with reduced retinal perfusion in patients with hypoparathyroidism. However, so far, the relationship between normal parathyroid hormone levels and DR in patients with type 2 diabetes mellitus has not been thoroughly studied.…”

Section: Discussionmentioning

confidence: 94%

Normal parathyroid hormone and non‐proliferative diabetic retinopathy in patients with type 2 diabetes

Sun

Wang

et al. 2020

J of Diabetes Invest

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Aims/Introduction To investigate the associations between parathyroid hormone (PTH) and non‐proliferative diabetic retinopathy (NPDR) in patients with type 2 diabetes mellitus. Materials and Methods Data were collected from 2,322 patients with type 2 diabetes mellitus in hospital between 2017 and 2019. The odds ratio (OR) and the corresponding 95% confidence interval related to the quartiles of PTH were obtained by logistic regression analysis after adjusting the potential confounding variation. Results The patients were stratified into quartiles (Q1–Q4) based on the PTH levels, with the cut‐off limits of ≤23.74, 23.74–29.47, 29.47–37.30 and >37.30 pg/mL in men, and ≤24.47, 24.47–31.22, 31.22–39.49 and >39.49 pg/mL in women. The first quartile (Q1) represents the lowest quartile and the fourth quartile (Q4) is the highest. According to the quartiles (Q1–Q4), the prevalence rate of NPDR in patients showed a significantly decreasing trend (37.9%, 36.3%, 34.0% vs 24.0% in men; 43.2%, 40.5%, 31.1% vs 26.2% in women, both P < 0.05). Independent of age, diabetes duration and other metabolic factors, multivariate logistic regression showed that participants in Q4 had a lower OR of NPDR than those in Q1 (OR 0.443, 95% confidence interval 0.300–0.654, P < 0.001 for men; OR 0.428, 95% confidence interval 0.283–0.646, P < 0.001 for women). Conclusions Low serum PTH levels were significantly associated with complications of NPDR in inpatients. Its causality remains to be further studied.

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Section: Discussionmentioning

confidence: 94%

Normal parathyroid hormone and non‐proliferative diabetic retinopathy in patients with type 2 diabetes

Sun

Wang

et al. 2020

J of Diabetes Invest

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“…Данные изменения авторы связывают с отсутствием регулирующего влияния ПТГ на сосудистый гомеостаз, в т.ч. на макулярную микроциркуляцию [28].…”

Section: гипопаратиреоз и патология глазunclassified

Chronic hypoparathyroidism: clinical manifestations, complications and impact on the quality of life

Ковалева

Eremkina

Mokrysheva

2023

jour

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Hypoparathyroidism is a relatively rare endocrine disorder caused by the absence production of parathyroid hormone, leading to the classical biochemical features such as hypocalcaemia and hyperphosphataemia.The data from Europe, the USA and Asian countries shows that the long course of chronic postsurgical and non-surgical hypoparathyroidism can lead to many complications from different organs and systems. Hypoparathyroidism increases the risk of kidney disease, including kidney failure, neuropsychiatric disorders and infections. The frequency and degree of disease complications depend on its etiology. Non-surgical hypoparathyroidism is associated with an increased risks of cataracts, cardiovascular diseases and vertebral fractures; however, the pathogenesis of these disorders is not fully understood. Various parameters of mineral homeostasis were discussed in the context of identified complications. For example, persistent hypercalciuria and intake of large doses of calcium and vitamin D supplements were associated with the structural pathology of the kidneys (nephrolithiasis, nephrocalcinosis).This review covers the issue of the clinical manifestations and complications of chronic hypoparathyroidism, as well as predictors of their development.

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A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images

Sharma

Ninomiya

Omodaka

et al. 2022

Sci Rep

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Detection, diagnosis, and treatment of ophthalmic diseases depend on extraction of information (features and/or their dimensions) from the images. Deep learning (DL) model are crucial for the automation of it. Here, we report on the development of a lightweight DL model, which can precisely segment/detect the required features automatically. The model utilizes dimensionality reduction of image to extract important features, and channel contraction to allow only the required high-level features necessary for reconstruction of segmented feature image. Performance of present model in detection of glaucoma from optical coherence tomography angiography (OCTA) images of retina is high (area under the receiver-operator characteristic curve AUC ~ 0.81). Bland–Altman analysis gave exceptionally low bias (~ 0.00185), and high Pearson’s correlation coefficient (p = 0.9969) between the parameters determined from manual and DL based segmentation. On the same dataset, bias is an order of magnitude higher (~ 0.0694, p = 0.8534) for commercial software. Present model is 10 times lighter than Unet (popular for biomedical image segmentation) and have a better segmentation accuracy and model training reproducibility (based on the analysis of 3670 OCTA images). High dice similarity coefficient (D) for variety of ophthalmic images suggested it’s wider scope in precise segmentation of images even from other fields. Our concept of channel narrowing is not only important for the segmentation problems, but it can also reduce number of parameters significantly in object classification models. Enhanced disease diagnostic accuracy can be achieved for the resource limited devices (such as mobile phone, Nvidia’s Jetson, Raspberry pi) used in self-monitoring, and tele-screening (memory size of trained model ~ 35 MB).

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Is there a relationship between hypoparathyroidism and retinal microcirculation?

Cited by 4 publications

References 15 publications

Normal parathyroid hormone and non‐proliferative diabetic retinopathy in patients with type 2 diabetes

Normal parathyroid hormone and non‐proliferative diabetic retinopathy in patients with type 2 diabetes

Chronic hypoparathyroidism: clinical manifestations, complications and impact on the quality of life

A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images

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