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Nazareth T, Rocha J, Scoralick ALB, Dias DT, Gracitelli CPB, Kanadani FN, Prata TS. <p>Retinal Sensitivity Thresholds Obtained Through Easyfield and Humphrey Perimeters in Eyes with Glaucoma: A Cross-Sectional Comparative Study</p>. Clin Ophthalmol 2020; 14:4201-4207. [PMID: 33299296 PMCID: PMC7719433 DOI: 10.2147/opth.s280692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/14/2020] [Accepted: 11/10/2020] [Indexed: 11/24/2022] Open
Abstract
Objective To compare global retinal sensitivity thresholds obtained through the Easyfield perimeter (EF) and Humphrey visual field analyzer (HFA). Design Observational cross-sectional study. Participants Glaucomatous patients and glaucoma suspects enrolled between October 2018 and April 2019. Materials and Methods All participants underwent EF (SPARK Precision) and HFA perimetry (SITA-Standard). After inclusion, demographic and ocular data were collected, including measurements of retinal nerve fiber layer (RNFL) thickness obtained from spectral-domain optical coherence tomography (SD-OCT). Global indices (mean deviation, MD; pattern standard deviation, PSD) values were compared between perimeters, and their correlation and agreement were evaluated. We used regression analysis to investigate structure-functional correlations between SD-OCT measurements and MD index of each perimeter. Results We investigated 111 eyes from 69 patients. Mean MD (mean difference=1.49dB) and PSD values (mean difference=0.42dB) from the HFA were significantly larger than those from the EF perimeter (p<0.001). There were significant linear correlations between EF-MD and HFA-MD (r=0.56), and EF-PSD and HFA-PSD (r=0.38; p<0.001). We found significant non-linear associations between average RNFL thickness and MD values derived from both EF (R2=0.41) and HFA (R2=0.17) perimeters (p≤0.012). A difference <2dB between EF-MD and HFA-MD was found in 53% of the eyes, while 71% of them had a difference <1dB between EF-PSD and HFA-PSD. Conclusion While we found a moderate correlation and a small mean sensitivity difference between test results, EF’s correlation with structural measurements was at least comparable to that of the HFA. Our findings suggest that although these tests should not be used interchangeably, EF SPARK Precision could be used as an alternative for functional assessment in eyes with mild glaucoma.
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Affiliation(s)
- Thaissa Nazareth
- Glaucoma Service, Instituto de Olhos Ciências Médicas, Belo Horizonte, Brazil
| | - Janaina Rocha
- Glaucoma Service, Instituto de Olhos Ciências Médicas, Belo Horizonte, Brazil
- Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil
| | | | - Diego T Dias
- Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil
| | | | - Fabio N Kanadani
- Glaucoma Service, Instituto de Olhos Ciências Médicas, Belo Horizonte, Brazil
- Ophthalmology Department, Mayo Clinic, Jacksonville, Florida, USA
| | - Tiago S Prata
- Ophthalmology Department, Federal University of São Paulo, São Paulo, Brazil
- Ophthalmology Department, Mayo Clinic, Jacksonville, Florida, USA
- Correspondence: Tiago S Prata Ophthalmology Department, Federal University of São Paulo, Rua Dr João Lourenço, 713; Vila Nova Conceição, São PauloCEP: 04508-031, BrazilTel +55 11 43019481Fax +55 11 3683-0404 Email
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Wang H, Deng Y, Wan L, Huang L. A comprehensive map of disease networks and molecular drug discoveries for glaucoma. Sci Rep 2020; 10:9719. [PMID: 32546683 PMCID: PMC7298047 DOI: 10.1038/s41598-020-66350-w] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2019] [Accepted: 05/19/2020] [Indexed: 01/02/2023] Open
Abstract
Glaucoma is the leading cause of irreversible blindness worldwide. The molecular etiology of glaucoma is complex and unclear. At present, there are few drugs available for glaucoma treatment. The aim of the present study was to perform a systematic analysis of glaucoma candidate drugs/chemicals based on glaucoma genes, including genetic factors and differentially expressed (DE) genes. In total, 401 genes from the genetic databases and 1656 genes from the DE gene analysis were included in further analyses. In terms of glaucoma-related genetic factors, 54 pathways were significantly enriched (FDR < 0.05), and 96 pathways for DE genes were significantly enriched (FDR < 0.05). A search of the PheWAS database for diseases associated with glaucoma-related genes returned 1,289 diseases, and a search for diseases associated with DE glaucoma-related genes returned 1,356 diseases. Cardiovascular diseases, neurodegenerative diseases, cancer, and ophthalmic diseases were highly related to glaucoma genes. A search of the DGIdb, KEGG, and CLUE databases revealed a set of drugs/chemicals targeting glaucoma genes. A subsequent analysis of the electronic medical records (EMRs) of 136,128 patients treated in Sichuan Provincial People’s Hospital for candidate drug usage and the onset of glaucoma revealed nine candidate drugs. Among these drugs, individuals treated with nicardipine had the lowest incidence of glaucoma. Taken together with the information from the drug databases, the 40 most likely candidate drugs for glaucoma treatment were highlighted. Based on these findings, we concluded that the molecular mechanism of glaucoma is complex and may be a reflection of systemic diseases. A set of ready-to-use candidate drugs targeting glaucoma genes may be developed for glaucoma clinical drug treatments. Our results provide a systematic interpretation of glaucoma genes, interactions with other systemic diseases, and candidate drugs/chemicals.
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Affiliation(s)
- Haixin Wang
- The Key Laboratory for Human Disease Gene Study of Sichuan Province and the Center of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China.,Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China.,Natural Products Research Center, Institute of Chengdu Biology, Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China
| | - Yanhui Deng
- The Key Laboratory for Human Disease Gene Study of Sichuan Province and the Center of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China
| | - Ling Wan
- Department of Ophthalmology, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu, China
| | - Lulin Huang
- The Key Laboratory for Human Disease Gene Study of Sichuan Province and the Center of Laboratory Medicine, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu, Sichuan, China. .,Research Unit for Blindness Prevention of Chinese Academy of Medical Sciences (2019RU026), Sichuan Academy of Medical Sciences, Chengdu, Sichuan, China. .,Natural Products Research Center, Institute of Chengdu Biology, Sichuan Translational Medicine Hospital, Chinese Academy of Sciences, Chengdu, Sichuan, China.
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