Aims: To investigate the relationship between retinal vascular parameters and cystatin C in patients with type 2 diabetes in northwestern China.
Methods: This was a cross-sectional study of 1689 patients with type 2 diabetes. A validated fully automated computer program was used to extract retinal vascular parameters from the entire vascular tree. Multiple logistic regression analyses were conducted to investigate the relationship between these vascular measurements and cystatin C.
Results: For retinal vascular geometrical measurements, smaller arteriolar fractal dimension was related to high cystatin C after adjusting for multiple variables (odds ratio [OR] 0.149, 95% CI 0.042-0.532). For retinal vascular caliber measurements, narrower central and middle arteriolar calibers were related to high cystatin C after adjusting for multiple variables (central: OR 0.922, 95% CI 0.886-0.960; middle: OR 0.940, 95% CI 0.901-0.981). Wider central, middle and peripheral venular calibers were associated with high cystatin C after adjusting for multiple variables (central: OR 1.058, 95% CI 1.003-1.117; middle: OR 1.094, 95% CI 1.040-1.150; peripheral: OR 1.075, 95% CI 1.023-1.130).
Conclusions: Multiple retinal vascular geometrical and caliber measurements are associated with cystatin C in type 2 diabetic patients. Further studies are needed to explore whether these retinal vascular changes can predict the incidence and progress of diabetic nephropathy.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1007/s00592-021-01741-7 | DOI Listing |
Radiology
January 2025
From the Departments of Radiology (V.K., A.R., P.D.) and Pathology (J.N.), University of Arkansas for Medical Sciences, 4301 W Markham St, Little Rock, AR 72205.
A 61-year-old male patient without prior history of ophthalmologic problems presented with pain and redness in the left eye associated with slowly progressive proptosis over the previous 6 months. The patient also had diplopia in rightward and downward gaze. There was no vision loss.
View Article and Find Full Text PDFIn Vitro Model
February 2024
iNOVA4Health, NOVA Medical School|Faculdade de Ciências Médicas, NMS|FCM, Universidade Nova de Lisboa, Rua Camara Pestana, 6, Lisbon, Portugal.
Purpose: Diabetic retinopathy (DR) is a complication of diabetes and a primary cause of visual impairment amongst working-age individuals. DR is a degenerative condition in which hyperglycaemia results in morphological and functional changes in certain retinal cells. Existing treatments mainly address the advanced stages of the disease, which involve vascular defects or neovascularization.
View Article and Find Full Text PDFEur J Med Res
January 2025
Department of Ophthalmology, Zhujiang Hospital, Southern Medical University, No. 253, Gongye Avenue Middle, Guangzhou, 510282, Guangdong, China.
Background: To evaluate the effect and factors associated with the reactivation of retinopathy of prematurity (ROP) after intravitreal conbercept or aflibercept.
Methods: We retrospectively reviewed the medical records of 176 eyes diagnosed with ROP and treated with anti-VEGF therapy between January 2018 and September 2022. The rate of reactivation and complications were assessed during the follow-up period.
BMC Ophthalmol
January 2025
Glaucoma Service, Farabi Eye Hospital, Tehran University of Medical Sciences, Qazvin Square, Tehran, Iran.
Background: To compare structural and vascular parameters between advanced pseudoexfoliation glaucoma (PXG) and primary open-angle glaucoma (POAG).
Methods: One hundred and six eyes of 81 patients were enrolled in this cross-sectional study. All patients underwent complete ophthalmic examination and measurement of the thickness of the peripapillary retinal nerve fiber layer (RNFL) and ganglion cell complex (GCC).
Sci Rep
January 2025
Department of Data Science and Artificial Intelligence, Sunway University, 47500, Petaling Jaya, Selangor Darul Ehsan, Malaysia.
Precise segmentation of retinal vasculature is crucial for the early detection, diagnosis, and treatment of vision-threatening ailments. However, this task is challenging due to limited contextual information, variations in vessel thicknesses, the complexity of vessel structures, and the potential for confusion with lesions. In this paper, we introduce a novel approach, the MSMA Net model, which overcomes these challenges by replacing traditional convolution blocks and skip connections with an improved multi-scale squeeze and excitation block (MSSE Block) and Bottleneck residual paths (B-Res paths) with spatial attention blocks (SAB).
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!