{"title":"Charles Bonnet Syndrome Adversely Affects Vision-Related Quality of Life in Patients with Glaucoma","authors":"Patrik Randeblad MD , Amardeep Singh MD, PhD , Dorothea Peters MD, PhD","doi":"10.1016/j.ogla.2023.07.001","DOIUrl":"10.1016/j.ogla.2023.07.001","url":null,"abstract":"<div><h3>Purpose</h3><p>To investigate the impact of Charles Bonnet syndrome (CBS) on vision-related quality of life (VRQoL) in patients with glaucoma.</p></div><div><h3>Design</h3><p>Cross-sectional cohort study.</p></div><div><h3>Participants</h3><p>Twenty-four patients with CBS and 42 matched controls without CBS out of 337 patients with open-angle glaucoma (OAG) with visual field (VF) loss.</p></div><div><h3>Methods</h3><p>A matching technique was used to identify control patients with similar disease stage, best-corrected visual acuity (BCVA) and age to patients with CBS. Patients’ VRQoL was determined using the National Eye Institute Visual Function Questionnaire 25 (NEI VFQ-25). Rasch-calibrated NEI VFQ-25 scores of the CBS group and the control group were compared. Uni- and multivariable regression analysis was used to evaluate the impact of different factors on VRQoL.</p></div><div><h3>Main Outcome Measures</h3><p>Vision-related quality of life in patients with glaucoma with CBS and without CBS.</p></div><div><h3>Results</h3><p>Vision-related quality of life scores were significantly lower in the CBS group than in the control group on both the visual functioning scale with 39 points (95% confidence interval (CI): 30–48) vs. 52 points (95% CI: 46–58) (<em>P</em> = 0.013) and on the socioemotional scale with 45 points (95% CI: 37–53) vs. 58 points (95% CI: 51–65) (<em>P</em> = 0.015). Univariable regression analysis showed that integrated visual field mean deviation (IVF-MD) (r<sup>2</sup> = 0.334, <em>P</em> < 0.001), BCVA in the better eye (r<sup>2</sup> = 0.117, <em>P</em> = 0.003), and the presence of CBS (r<sup>2</sup> = 0.078, <em>P</em> = 0.013) were significantly correlated to VRQoL scores on the visual functioning scale. Integrated visual field mean deviation (r<sup>2</sup> = 0.281, <em>P</em> < 0.001), age (r<sup>2</sup> = 0.048, <em>P</em> = 0.042), and the presence of CBS (r<sup>2</sup> = 0.076, <em>P</em> = 0.015) were significantly correlated to VRQoL scores on the socioemotional scale. Multivariable regression analysis showed that IVF-MD and the presence of CBS accounted for nearly 40% of the VRQoL score on the visual functioning scale (R<sup>2</sup> = 0.393, <em>P</em> < 0.001) and for 34% of the VRQoL score on the socioemotional scale (R<sup>2</sup> = 0.339, <em>P</em> < 0.001).</p></div><div><h3>Conclusions</h3><p>Charles Bonnet syndrome had a significant negative association to VRQoL in patients with glaucoma. Presence of CBS should be considered when evaluating VRQoL in patients with glaucoma. <strong><em>Financial Disclosure(s)</em></strong>: The author(s) have no proprietary or commercial interest in any materials discussed in this article.</p></div>","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"7 1","pages":"Pages 30-36"},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2589419623001254/pdfft?md5=921906859597d9c09286264bed549c61&pid=1-s2.0-S2589419623001254-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10480327","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jing Shan MD, PhD , Zhixi Li MD , Ping Ma MD, PhD , Tin A. Tun MD , Sean Yonamine , Yangyan Wu MS , Mani Baskaran DO, PhD , Monisha E. Nongpiur MD, PhD , Dake Chen PhD , Tin Aung MMed, PhD , Shuning Li MD , Mingguang He MD, PhD , Yangfan Yang MD , Ying Han MD, PhD
{"title":"Deep Learning Classification of Angle Closure based on Anterior Segment OCT","authors":"Jing Shan MD, PhD , Zhixi Li MD , Ping Ma MD, PhD , Tin A. Tun MD , Sean Yonamine , Yangyan Wu MS , Mani Baskaran DO, PhD , Monisha E. Nongpiur MD, PhD , Dake Chen PhD , Tin Aung MMed, PhD , Shuning Li MD , Mingguang He MD, PhD , Yangfan Yang MD , Ying Han MD, PhD","doi":"10.1016/j.ogla.2023.06.011","DOIUrl":"10.1016/j.ogla.2023.06.011","url":null,"abstract":"<div><h3>Purpose</h3><p>To assess the performance and generalizability of a convolutional neural network (CNN) model for objective and high-throughput identification of primary angle-closure disease (PACD) as well as PACD stage differentiation on anterior segment swept-source OCT (AS-OCT).</p></div><div><h3>Design</h3><p>Cross-sectional.</p></div><div><h3>Participants</h3><p>Patients from 3 different eye centers across China and Singapore were recruited for this study. Eight hundred forty-one eyes from the 2 Chinese centers were divided into 170 control eyes, 488 PACS, and 183 PAC + PACG eyes. An additional 300 eyes were recruited from Singapore National Eye Center as a testing data set, divided into 100 control eyes, 100 PACS, and 100 PAC + PACG eyes.</p></div><div><h3>Methods</h3><p>Each participant underwent standardized ophthalmic examination and was classified by the presiding physician as either control, primary angle-closure suspect (PACS), primary angle closure (PAC), or primary angle-closure glaucoma (PACG). Deep Learning model was used to train 3 different CNN classifiers: classifier 1 aimed to separate control versus PACS versus PAC + PACG; classifier 2 aimed to separate control versus PACD; and classifier 3 aimed to separate PACS versus PAC + PACG. All classifiers were evaluated on independent validation sets from the same region, China and further tested using data from a different country, Singapore.</p></div><div><h3>Main Outcome Measures</h3><p>Area under receiver operator characteristic curve (AUC), precision, and recall.</p></div><div><h3>Results</h3><p>Classifier 1 achieved an AUC of 0.96 on validation set from the same region, but dropped to an AUC of 0.84 on test set from a different country. Classifier 2 achieved the most generalizable performance with an AUC of 0.96 on validation set and AUC of 0.95 on test set. Classifier 3 showed the poorest performance, with an AUC of 0.83 and 0.64 on test and validation data sets, respectively.</p></div><div><h3>Conclusions</h3><p>Convolutional neural network classifiers can effectively distinguish PACD from controls on AS-OCT with good generalizability across different patient cohorts. However, their performance is moderate when trying to distinguish PACS versus PAC + PACG.</p></div><div><h3>Financial Disclosures</h3><p>The authors have no proprietary or commercial interest in any materials discussed in this article.</p></div>","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"7 1","pages":"Pages 8-15"},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9950462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Techniques and Preferences for Nonvalved Aqueous Shunts","authors":"Jason Y. Zhang BS , Mary Qiu MD","doi":"10.1016/j.ogla.2023.07.006","DOIUrl":"10.1016/j.ogla.2023.07.006","url":null,"abstract":"<div><h3>Purpose</h3><p>To assess practice patterns and opinions of glaucoma specialists regarding indications, surgical technique, and postoperative management for nonvalved aqueous shunts.</p></div><div><h3>Design</h3><p>Anonymous online survey study.</p></div><div><h3>Participants</h3><p>American Glaucoma Society (AGS) members.</p></div><div><h3>Methods</h3><p>An anonymous online survey was distributed to glaucoma specialists via the AGS forum from June to August 2022.</p></div><div><h3>Main Outcome Measures</h3><p>Survey questions and responses were assessed in 4 sections: (1) general demographics and practice patterns; (2) nonvalved tubes vs. trabeculectomy<span>; (3) nonvalved tubes vs. valved tubes; and (4) nonvalved tube techniques.</span></p></div><div><h3>Results</h3><p><span><span>There were 132 respondents; nonvalved tubes were reported to be performed more often than trabeculectomy by 61% of respondents within 5 years of completing training and 23% of respondents with more than 15 years since completing training. The most frequently preferred types of nonvalved tubes were Baerveldt-350 (41%), Baerveldt-250 (27%), and ClearPath-250 (18%). In patients with lower target </span>intraocular pressure (IOP), 92% of respondents preferred trabeculectomy over nonvalved tube; 33% cited a cutoff of < 12 mmHg, and 31% cited a cutoff of < 15 mmHg. In patients with higher preoperative IOP, 50% of respondents preferred valved over nonvalved tubes; 29% cited a cutoff of > 40 mmHg, and 38% cited a cutoff of > 30 mmHg. The most frequently used ligature was 7-0 </span>Vicryl<span> (69%). The most frequently used strategies for early IOP lowering were fenestrations<span> without wicks (70%) and with wicks (22%), with one 10-0 Nylon being the most used wick technique (22%). Overall, 37% of respondents use a ripcord; among ripcord users, 55% use it for hypotony prevention (3-0 Prolene most common for this purpose at 35%), and 40% use it for optional early IOP lowering (4-0 Nylon most common for this purpose at 21%). If IOP is too high at postoperative week 4, 38% of respondents do not open the tube early.</span></span></p></div><div><h3>Conclusions</h3><p>We demonstrate significant heterogeneity regarding specific indications, surgical technique, and postoperative management for nonvalved tubes. Future work is needed to identify and develop standardized guidelines alongside best practices.</p></div><div><h3>Financial Disclosure(s)</h3><p>The author(s) have no proprietary or commercial interest in any materials discussed in this article.</p></div>","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"7 1","pages":"Pages 82-92"},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10343199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Betsy Sleath PhD , Delesha M. Carpenter PhD, MSPH , Donald L. Budenz MD, MPH , Kelly W. Muir MD , Maria S. Romero MD , Abena A. Adjei BS , Bethany Beznos PharmD , Gail Tudor PhD , Nacire Garcia MS , Alan L. Robin MD
{"title":"A Previsit Intervention’s Influence on Glaucoma Topics Discussed between Black Patients and Providers","authors":"Betsy Sleath PhD , Delesha M. Carpenter PhD, MSPH , Donald L. Budenz MD, MPH , Kelly W. Muir MD , Maria S. Romero MD , Abena A. Adjei BS , Bethany Beznos PharmD , Gail Tudor PhD , Nacire Garcia MS , Alan L. Robin MD","doi":"10.1016/j.ogla.2023.07.002","DOIUrl":"10.1016/j.ogla.2023.07.002","url":null,"abstract":"<div><h3>Purpose</h3><p>The objectives of this study were to conduct a randomized controlled trial<span> testing the effectiveness of a previsit glaucoma video/question prompt list intervention, and to examine the impact on how often providers educate Black patients about glaucoma and glaucoma medication topics during visits.</span></p></div><div><h3>Design</h3><p>A randomized controlled trial of a glaucoma question prompt list/video intervention.</p></div><div><h3>Participants</h3><p>Black patients with a diagnosis of glaucoma who are taking 1 or more glaucoma medications and report being nonadherent.</p></div><div><h3>Methods</h3><p>One hundred eighty-nine Black patients with glaucoma were enrolled and assigned to either a usual care or an intervention group where they watched a video emphasizing the importance of asking questions and received a glaucoma question prompt list to complete before clinic visits. Visits were audio-taped and patients were interviewed after visits.</p></div><div><h3>Main Outcome Measures</h3><p>Whether the provider educates about different glaucoma and glaucoma medication topics.</p></div><div><h3>Results</h3><p><span>Patients in the intervention group were significantly more likely to ask providers 1 or more questions about glaucoma and its treatment. Providers were significantly more likely to educate intervention patients about their diagnosis (</span><em>P</em><span> = 0.001), intraocular pressure (</span><em>P</em> = 0.03), the likelihood of the need for long-term therapy (<em>P</em> = 0.001), and the physical changes associated with glaucoma (<em>P</em> = 0.001) than usual-care patients. Providers were also significantly more likely to educate intervention patients about the purpose of their medications (<em>P</em> = 0.03) and side effects (<em>P</em> = 0.001) than usual-care patients. Providers only educated 29% of patients about adherence (33% of intervention group patients and 25% of usual-care patients). Few providers educated patients about barriers and fears/concerns in using glaucoma medications, the cost of medications and insurance coverage, how to administer eye drops, and nasolacrimal occlusion.</p></div><div><h3>Conclusions</h3><p>The intervention significantly increased provider education about many glaucoma and glaucoma medication topics.</p></div><div><h3>Financial Disclosure(s)</h3><p>Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.</p></div>","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"7 1","pages":"Pages 75-81"},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9937886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Profile of Newly Diagnosed Childhood Glaucoma in India","authors":"Sushmita Kaushik MD , Sirisha Senthil MD, FRCS , Viney Gupta MD , Shantha Balekudaru MD , Suneeta Dubey MD , Hasnat Ali MSc , Anil K. Mandal MD","doi":"10.1016/j.ogla.2023.07.004","DOIUrl":"10.1016/j.ogla.2023.07.004","url":null,"abstract":"<div><h3>Objective</h3><p>To report the profile of newly diagnosed childhood glaucoma using the Childhood Glaucoma Research Network (CGRN) classification, presenting over 1 year from across centers in India.</p></div><div><h3>Design</h3><p>Prospective observational multicentric study.</p></div><div><h3>Subjects</h3><p>Newly diagnosed children aged < 18 years diagnosed with childhood glaucoma according to CGRN criteria presenting between January and December 2019 to 13 centers across India.</p></div><div><h3>Methods</h3><p>All children underwent a comprehensive ocular examination, including examination under anesthesia for younger children, and were diagnosed with childhood glaucoma as per CGRN. Data were entered in a standard Excel chart. Refraction and visual acuity assessments were done when feasible.</p></div><div><h3>Main Outcome Measures</h3><p>The profile of newly diagnosed childhood glaucoma in different parts of India and the severity of glaucoma at presentation.</p></div><div><h3>Results</h3><p><span>A total of 1743 eyes of 1155 children fulfilled the definition of glaucoma and were analyzed. Primary congenital glaucoma (PCG) comprised the single largest group (34.4%), most of which were infantile onset (19%). Neonatal-onset PCG comprised 6.2% of all glaucoma. </span>Secondary glaucoma<span> constituted 53.4% of all glaucoma, one-half of which were acquired conditions (28%), followed by isolated ocular anomalies (14.7%), glaucoma after cataract surgery<span> (6.7%), and glaucoma with nonacquired systemic diseases<span> (4.5%). Of the 1743 eyes with glaucoma, all 3 parameters for severity grading were available in 842 eyes, of which 501 (59.5%) eyes presented with mild, 320 (38%) with moderate, and 21 (2.5%) with severe glaucoma. Nearly one-third of the children (28.5%) were not brought back for follow-up after the initial treatment given.</span></span></span></p></div><div><h3>Conclusions</h3><p>Our study has one of the largest numbers of consecutive children with glaucoma classified according to the CGRN classification. Despite a widely diverse population, the profile of childhood glaucoma was relatively uniform across India. Childhood glaucoma is a significant problem in India, primarily treated in tertiary care hospitals. The data presented may be the tip of the iceberg because we have only reported the children who reached the hospitals offering treatment for this challenging disease.</p></div><div><h3>Financial Disclosure(s)</h3><p>The author(s) have no proprietary or commercial interest in any materials discussed in this article.</p></div>","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"7 1","pages":"Pages 54-65"},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10386667","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ganesh V. Raman MD, Rohan Daniel MD, Premanand Chandran MD
{"title":"Anterior Segment OCT Image after Laser Iridotomy","authors":"Ganesh V. Raman MD, Rohan Daniel MD, Premanand Chandran MD","doi":"10.1016/j.ogla.2023.10.001","DOIUrl":"10.1016/j.ogla.2023.10.001","url":null,"abstract":"","PeriodicalId":19519,"journal":{"name":"Ophthalmology. Glaucoma","volume":"7 1","pages":"Page 104"},"PeriodicalIF":2.9,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"136400566","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}