Purpose: To design a mathematical model that can predict the relationship between the ganglion cell complex (GCC) thickness and visual field sensitivity (VFS) in glaucoma patients.
Design: Retrospective cross-sectional case series.
Method: Within 3 months from VFS measurements by the Humphrey field analyzer 10-2 program, 83 eyes underwent macular GCC thickness measurements by spectral-domain optical coherence tomography (SD-OCT). Data were used to construct a multiple logistic model that depicted the relationship between the explanatory variables (GCC thickness, age, sex, and spherical equivalent of refractive errors) determined by a regression analysis and the mean VFS corresponding to the SD-OCT scanned area. Analyses were performed in half or 8 segmented local areas as well as in whole scanned areas. A simple logistic model that included GCC thickness as the single explanatory variable was also constructed. The ability of the logistic models to depict the real GCC thickness/VFS in SAP distribution was analyzed by the χ2 test of goodness-of-fit. The significance of the model effect was analyzed by analysis of variance (ANOVA).
Results: Scatter plots between the GCC thickness and the mean VFS showed sigmoid curves. The χ2 test of goodness-of-fit revealed that the multiple logistic models showed a good fit for the real GCC thickness/VFS distribution in all areas except the nasal-inferior-outer area. ANOVA revealed that all of the multiple logistic models significantly predicted the VFS based on the explanatory variables. Although simple logistic models also exhibited significant VFS predictability based on the GCC thickness, the model effect was less than that observed for the multiple logistic models.
Conclusions: The currently proposed logistic models are useful methods for depicting relationships between the explanatory variables, including the GCC thickness, and the mean VFS in glaucoma patients.
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J Neuroophthalmol
November 2024
Ophthalmology Department (AC-C, MF-R, SA-A, RA, BS-D), Seu Maternitat, Hospital Clínic de Barcelona, Universitat de Barcelona, Barcelona, Spain; Faculty of Medicine and Health Sciences (AC-C, SA-A, BS-D), Universitat de Barcelona, Barcelona, Spain; Fundació Per La Recerca Biomèdica-IDIBAPS (MF-R, SA-A, BS-D), Barcelona, Spain; and Ophthalmology Department (MS-G), Consorci Mar Parc de Salut de Barcelona, Barcelona, Spain.
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Sci Total Environ
January 2025
CSIR-Advanced Materials and Processes Research Institute (CSIR-AMPRI), Bhopal, Madhya Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad, India. Electronic address:
Conversion of caustic red mud (RM, Alumina industry waste) into building materials becoming one of the viable solution for its large scale utilization. The building materials developed using RM often results in efflorescence due to its high alkalinity, which is detrimental for the structural integrity of the buildings. The X-ray shielding tiles developed through ceramic route using the mixtures of RM, BaSO and kaolin clay also suffers from severe NaSO efflorescence when sintered above 1000 °C.
View Article and Find Full Text PDFJ Clin Med
December 2024
Department of Ophthalmology and Visual Science, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul 06591, Republic of Korea.
Although hydroxychloroquine (HCQ) is used to treat systemic lupus erythematosus (SLE), it is associated with retinal toxicity. Early diagnosis can prevent the further progression of HCQ-associated retinopathy by discontinuing HCQ treatments. This study aimed to evaluate the early diagnostic parameters in patients with SLE treated with HCQ and identify the best approach using multifocal electroretinography (mfERG) and swept-source optical coherence tomography (SS-OCT) to reflect subclinical retinal toxicity.
View Article and Find Full Text PDFBr J Ophthalmol
December 2024
Viterbi Family Department of Ophthalmology, University of California San Diego, La Jolla, California, USA
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PeerJ
November 2024
Department of Psychiatry, Institute of Health Sciences, İzmir Democracy University, İzmir, Turkey.
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