Visual functioning questionnaires are commonly used as patient-reported outcome measures to estimate visual ability. Performance measures, on the other hand, provide a direct measure of visual ability. For individuals with ultra-low vision (ULV; visual acuity (VA) <20/1600), the ultra-low vision visual functioning questionnaire (ULV-VFQ) and the Wilmer VRI-a virtual reality-based performance test-estimate self-reported and actual visual ability, respectively, for activities of daily living. But how well do self-reports from ULV-VFQ predict actual task performance in the Wilmer VRI? We administered a subset of 10 matching items from the ULV-VFQ and Wilmer VRI to 27 individuals with ULV. We estimated item measures (task difficulty) and person measures (visual ability) using Rasch analysis for ULV-VFQ and using latent variable signal detection theory for the Wilmer VRI. We then used regression analysis to compare person and item measure estimates from self-reports and task performance. Item and person measures were modestly correlated between the two instruments, with r2 = 0.47 (P = 0.02) and r2 = 0.36 (P = 0.001), demonstrating that self-reports are an imperfect predictor of task difficulty and performance. While self-reports impose a lower demand for equipment and personnel, actual task performance should be measured to assess visual ability in ULV. Visual performance measures should be the preferred outcome measure in clinical trials recruiting individuals with ULV. Virtual reality can be used to standardize tasks.

To assess the impact of tear film on postoperative visual acuity after cataract surgery to implant an intraocular lens (IOL). Tear break-up time (TBUT), Schirmer I test, objective scatter index (OSI), and uncorrected distance visual acuity (UCDVA), intermediate visual acuity (UCIVA), and near visual acuity (UCNVA) were collected 6months after cataract surgery. Fifteen eyes with monofocal (Mo-) IOLs and 15 eyes with multifocal (Mu-) IOLs from 30 subjects were included. The Mu-IOL group exhibited higher baseline OSI (1.92 ± 0.69, P < 0.001). Negative correlations-both groups: tear film-related OSI (TF-OSI) and TBUT/Schirmer I test; Mo-IOL: TBUT and logMAR UCDVA-and positive correlations-both groups: TF-OSI and baseline OSI, baseline OSI/TF-OSI and logMAR UCDVA; Mu-IOL: baseline OSI/TF-OSI and logMAR UCIVA/UCNVA-were found. Linear regression showed associations between TF-OSI and TBUT (Mo-IOL: R2=0.455, P=0.006; Mu-IOL: R2=0.454, P=0.006)/Schirmer I test (Mo-IOL: R2=0.527, P=0.002; Mu-IOL: R2=0.266, P=0.049). Multiple regression showed associations between baseline OSI (Mo-IOL: R2=0.309, P=0.032; Mu-IOL: R2=0.305, P=0.033)/TF-OSI (Mo-IOL: R2=0.332, P=0.025; Mu-IOL: R2=0.523, P=0.002)/TBUT (Mo-IOL only: R2=0.315, P=0.029) and logMAR UCDVA. TF-OSI reflects the UCDVA performance in eyes with IOLs and facilitates a better understanding of the effects of the tear film. TF-OSI offers a developmental and objective approach to assessing the changing visual performance caused by tear film after cataract surgery and IOL implantation in clinical practices.

To explore barriers and facilitators to completing scheduled outpatient appointments at an urban academic hospital-based ophthalmology department. Potential participants were stratified by neighborhood Social Vulnerability Index (SVI) (range, 0-1.0, higher scores indicate greater vulnerability), and semistructured interviews were conducted with individuals 18years and older with an SVI of greater than 0.61 (n = 17) and providers delivering care in the General Eye Clinic of the University of Illinois Chicago (n = 8). Qualitative analysis informed by human-centered design methods was conducted to classify barriers and facilitators into three domains of the Consolidated Framework for Implementation Research: outer setting, inner setting, and characteristics of individuals. There were four main themes-transportation, time burden, social support, and economic situation-all of which were within the outer setting of the Consolidated Framework for Implementation Research; transportation was most salient. Although providers perceived health literacy as a barrier affecting motivation, patients expressed a high motivation to attend visits and felt well-educated about their condition. A lack of resources outside of the health system presents significant barriers for patients from neighborhoods with high SVI. Future efforts to improve adherence should focus on resource-related interventions in the outer setting. Improving access to eye care will require community-level interventions, particularly transportation. Understanding the barriers and facilitators within the Consolidated Framework for Implementation Research provides useful guidance for future interventions, specifically to focus future efforts to improve adherence on resource-related interventions.

This study investigated the association between subretinal fluid (SRF) duration and baseline chorioretinal structure in patients with naïve (first-episode and untreated) central serous chorioretinopathy (CSC). We divided 59 patients into non-prolonged (<3months) and prolonged (>3months) groups based on SRF fluid persistence from the initial visit. The follow-up period varied as the shorter duration was chosen between SRF disappearance time and 3months from the initial visit. We measured the central retinal thickness (CRT), central choroidal thickness (CCT), SRF height (SRFH), and outer nuclear layer thickness (ONL) using spectral-domain optical coherence tomography (SD-OCT) at the initial visit and recorded SRF duration. We compared these parameters between the groups, conducted multivariate analysis for SRF duration of more than 3months, and investigated the correlation among CCT and CRT, SRFH, or ONL, and among SRF duration and CRT, CCT, SRFH, or ONL. CCT was significantly thicker in the prolonged than in the non-prolonged group at the initial visit (P = 0.044) and significantly correlated with CRT and SRFH (P = 0.007, r = 0.35 and P = 0.002, r = 0.39). SRF duration significantly correlated with CRT and SRFH (P = 0.009, r = 0.40 and P = 0.003, r = 0.41). The optimal model for SRF duration more than 3months included age (P = 0.054) and CCT (P = 0.008). Thicker baseline CCT can lead to a longer SRF duration in naïve CSC. This association aids in early detection of cases at a higher risk of prolonged SRF.

To assess the performance of a perimetric strategy using structure-function predictions from a deep learning (DL) model. Visual field test-retest data from 146 eyes (75 patients) with glaucoma with (median [5th-95th percentile]) 10 [7, 10] tests per eye were used. Structure-function predictions were generated with a previously described DL model using cicumpapillary optical coherence tomography (OCT) scans. Structurally informed prior distributions were built grouping the observed measured sensitivities for each predicted value and recalculated for each subject with a leave-one-out approach. A zippy estimation by sequential testing (ZEST) strategy was used for the simulations (1000 per eye). Ground-truth sensitivities for each eye were the medians of the test-retest values. Two variations of ZEST were compared in terms of speed (average total number of presentations [NP] per eye) and accuracy (average mean absolute error [MAE] per eye), using either a combination of normal and abnormal thresholds (ZEST) or the calculated structural distributions (S-ZEST) as prior information. Two additional versions of these strategies employing spatial correlations were tested. S-ZEST was significantly faster, with a mean average NP of 213.87 (SD = 28.18), than ZEST, with a mean average NP of 255.65 (SD = 50.27) (P < 0.001). The average MAE was smaller for S-ZEST (1.98; SD = 2.37) than ZEST (2.43; SD = 2.69) (P < 0.001). Spatial correlations further improved both strategies (P < 0.001), but the differences between ZEST and S-ZEST remained significant (P < 0.001). DL structure-function predictions can significantly improve perimetric tests. DL structure-function predictions from clinically available OCT scans can improve perimetry in glaucoma patients.

Low- to middle-income nations contain more than 80% of the world's population; however, only 4% of articles in ophthalmology journals belong to these countries. We aim to analyze the global diversity of the editorial boards of ophthalmology journals. Cross-sectional study, including all journals in the Ophthalmology section of the SCImago Journal & Country Rank (SJR). Journals were classified according to the country of origin, SJR interquartile range (Q1-Q4), impact factor, and open-access policy. Global diversity among journals was determined by the country of affiliation of editors-in-chief and editorial board members. Nations were classified by income according to the World Bank's 2022 system. The association between editorial diversity and the journal's metrics and country of origin was analyzed using the χ2 test and the Mann-Whitney U test. A total of 116 journals were included and 83.6% belonged to high-income nations. Only 18 (13.3%) editors-in-chief and 582 (13.5%) board members were affiliated with middle-income nations. The most prevalent middle-income countries in editorial boards were Brazil (n = 184, 4.26%), India (n = 150, 3.47%), Turkey (n = 42, 0.97%), and Iran (n = 36, 0.83%). Only 40 (1.07%) editorial board members of Q1 journals were affiliated with non-high-income nations, most belonging to India (n = 28, 70%). Journals from middle-income nations had a statistically significant lower prevalence in the first- and second-quartile ranking (P < 0.001) and a higher proportion of open-access policies (P = 0.019). A clear underrepresentation of low- to middle-income nations was observed in ophthalmology journals. Promoting editorial diversity and minimizing the possibility of editorial bias could lead to greater exposure to real-world data from resource-constrained settings. The documented underrepresentation of low- to middle-income nations in ophthalmology journals highlights the importance of promoting diversity and inclusion.

The purpose of this study was to explore two-dimensional peripheral refraction and higher-order aberrations (HOAs) induced by orthokeratology lens decentration. Two-dimensional peripheral refraction and HOAs in a rectangular field (horizontally 60 degrees and vertically 36 degrees) were obtained using an open-view Hartmann-Shack wavefront sensor. The peripheral field was divided into 8 regions according to a combination of superior (UZ) or inferior (LZ) and a value, 1 (T25 to T30), 2 (T20 to T25), 3 (N20 to N25), or 4 (N25 to N30). The decentration of the lens was evaluated based on the change of power in the front of the tangential corneal map. All measurements were taken at the baseline and 1 month after lens fitting. In total, 134 myopic children (age = 12.47 ± 1.70 years, SER = -2.44 ± 1.10 diopters [D]) were recruited. In general, horizontally asymmetrical change was observed in relative peripheral refraction (RPR), spherical aberration (SA), and horizontal coma. The root-mean square of higher order aberration (RMSHOA) and vertical coma demonstrated radial symmetrical change and vertically asymmetric change, respectively. Relative peripheral myopia was significantly increased after the treatment, with more myopic refraction in the temporal side. RPR changes in UZ2, UZ3, UZ4, LZ1, and LZ2 were related to the amount of lens decentration (r ≈ 0.4, P<0.05). All HOAs increased after lens fitting (around 0.03 um, 0.02 um, 0.04 um, and 0.41 um for SA, horizontal COMA, vertical COMA, and RMSHOA in the periphery region). RPR and HOAs are related to lens decentration, which might contribute to the efficacy of orthokeratology. The study found a decentration-related optical feature after 1 month of lens wear, which is a suggested protective factor in myopia treatment. The findings might provide new insights for customized contact lens myopia treatment based on optics.

The purpose of this study was to investigate driving difficulties and Advanced Driver Assistance Systems (ADAS) use and preferences of drivers with and without central vision loss (CVL). Fifty-eight drivers with CVL (71 ± 13 years) and 68 without (72 ± 8 years) completed a telephone questionnaire. They rated their perceived driving difficulty and usefulness of technology support in 15 driving situations under good (daytime) and reduced visibility conditions, and reported their use experience and preferences for 12 available ADAS technologies. Drivers with CVL reported more difficulty (P = 0.002) and greater usefulness of technology support (P = 0.003) than non-CVL drivers, especially in reduced visibility conditions. Increased driving difficulty was associated with higher perceived technology usefulness (r = 0.34, P < 0.001). Dealing with blind spot road users, glare, unexpected pedestrians, and unfamiliar areas were perceived as the most difficult tasks that would benefit from technology support. Drivers with CVL used more advanced ADAS features than non-CVL drivers (P = 0.02), preferred to own the blind spot warning, pedestrian warning, and forward collision avoidance systems, and favored ADAS support that provided both information and active intervention. The perceived benefits of and willingness to own ADAS technologies were high for both groups. Drivers with CVL used more advanced ADAS and perceived greater usefulness of driver assistance technology in supporting difficult driving situations, with a strong preference for collision prevention support. This study highlights the specific technology needs and preferences of older drivers with CVL, which can inform future ADAS development, evaluation, and training tailored to this group.

To investigate the relationship between limited English proficiency (LEP) and diabetic retinopathy (DR) in patients presenting for cataract surgery. This is a retrospective observational study of patients who underwent cataract surgery between January 2014 and February 2020. Patients who self-identified as needing or preferring an interpreter were defined as having LEP. Differences in demographics, characteristics, and outcomes including history of type 2 diabetes (T2DM), DR, preoperative best corrected visual acuity (BCVA), macular edema, and anti-vascular endothelial growth factor injections were analyzed. Statistical comparisons were assessed using logistic regression with generalized estimating equations. We included 13,590 eyes. Of these, 868 (6.4%) were from LEP patients. Patients with LEP were more likely to be Hispanic (P < 0.001), female sex (P = 0.008), or older age (P = 0.003) and have worse mean BCVA at presentation (P < 0.001). Patients with LEP had a significantly higher rate of T2DM (P < 0.001), macular edema (P = 0.033), and DR (18.1% vs. 5.8%, P < 0.001). Findings remained significant when controlling for age, sex, race/ethnicity, and type of health insurance. Patients with LEP and DR were more likely to have had later stages of DR (P = 0.023). Patients with LEP presenting for cataract surgery had a higher rate of DR and associated complications compared to patients with English proficiency. Further studies are needed to understand how language disparities influence health and what measures could be taken to improve healthcare in this vulnerable population. Our study highlights healthcare disparities within ophthalmology and emphasizes the importance of advocating for improved healthcare delivery for patients with LEP.

Machine learning models based on radiomic feature extraction from clinical imaging data provide effective and interpretable means for clinical decision making. This pilot study evaluated whether radiomics features in baseline optical coherence tomography (OCT) images of eyes with pigment epithelial detachment (PED) associated with neovascular age-related macular degeneration (nAMD) can predict treatment response to as-needed anti-vascular endothelial growth factor (VEGF) therapy. Thirty-nine eyes of patients with PED undergoing anti-VEGF therapy were included. All eyes underwent a loading dose followed by as-needed therapy. OCT images at baseline, month 3, and month 6 were analyzed. Images were manually separated into non-responding, recurring, and responding eyes based on the presence or absence of subretinal fluid at month 6. PED radiomics features were then extracted from each image and images were classified as responding or recurring using a machine learning classifier applied to the radiomics features. Linear discriminant analysis classification of baseline features as responsive versus recurring resulted in classification performance of 64.0% (95% confidence interval [CI] = 0.63-0.65), area under the curve (AUC = 0.78, 95% CI = 0.72-0.82), sensitivity 0.79 (95% CI = 0.63-0.87), and specificity 0.58 (95% CI = 0.50-0.67). Further analysis of features in recurring eyes identified a significant shift toward non-responding mean feature values over 6 months. Our results demonstrate the use of radiomics features as predictors for treatment response to as-needed anti-VEGF therapy. Our study demonstrates the potential for radiomics feature in clinical decision support for personalizing anti-VEGF therapy. The ability to use PED texture features to predict treatment response facilitates personalized clinical decision making.