Baseline factors and reason for cancellation of elective ophthalmic surgery.

OBJECTIVES: To determine the baseline risk factors for elective ophthalmic surgery cancellations and characterise the reasons for cancellation. METHODS: This is a retrospective, non-randomised study performed at a large tertiary ophthalmic centre. It included a consecutive sample of patients above the age of 18 who had an ophthalmic surgery scheduled at Cole Eye Institute, Cleveland Clinic, OH between January 2012 and December 2019. An automated search pull identified 75,908 scheduled surgeries (63,987 completed and 11,921 cancelled surgeries). Statistical analysis was performed using R (version 3.5.1). Main outcome measures were baseline factors that impact risk for surgery cancellation and reasons for surgery cancellation. RESULTS: Analysis was performed on 69,963 scheduled surgeries (57.37% Female, 42.63% Male; Mean age of 62.72 years; 59,959 completed and 10,004 cancelled surgeries). Of the 2384 cancelled surgeries with reasons provided, the most common causes of cancellation were patient refusal (38.42%), patient health condition (18.79%), and rescheduling of surgery (15.27%). Female sex, black race, patient age less than 50 years, non-cataract surgeries, regional mean household income greater than $82,900, Medicare insurance, and geographical distance of less than 10 miles from home to the surgery site were each associated with a significantly increased risk of surgery cancellation (p < 0.01). CONCLUSIONS: This study successfully identified several baseline factors predicting elective ophthalmic surgery cancellation. The clinical insights gained from these lines of enquiry may be used to construct models that not only identify patients at greater risk for cancellation but also highlight which interventions have greatest efficacy in preventing ophthalmic surgery cancellations.

Predictive Assessment of Quantitative Ultra-Widefield Angiographic Features for Future Need for Anti-VEGF Therapy in Diabetic Eye Disease.

The objective of this study was to identify biomarkers that predict a future need for anti-VEGF therapy in diabetic retinopathy (DR). Eyes with DR that underwent ultra-widefield angiography (UWFA) and had at least a 1 year follow-up were grouped based on future anti-VEGF treatment requirements: (1) not requiring treatment, (2) immediate treatment (within 3 months of UWFA), and (3) delayed treatment (after 3 months of UWFA). Quantitative UWFA features and clinical factors were evaluated. Random forest models were built to differentiate eyes requiring immediate and delayed treatment from the eyes not requiring treatment. A total of 173 eyes were included. The mean follow-up was 22 (range: 11-43) months. The macular leakage index, panretinal leakage index, presence of DME, and visual acuity were significantly different in eyes requiring immediate (n = 38) and delayed (n = 34) treatment compared to eyes not requiring treatment (n = 101). Random forest model differentiating eyes requiring immediate treatment from eyes not requiring treatment demonstrated an AUC of 0.91 ± 0.07. Quantitative angiographic features have potential as important predictive biomarkers of a future need for anti-VEGF therapy in DR and may serve to guide the frequency of a follow-up.

Longitudinal Higher-Order OCT Assessment of Quantitative Fluid Dynamics and the Total Retinal Fluid Index in Neovascular AMD.

Purpose: The purpose of this study was to evaluate the feasibility of assessing quantitative longitudinal fluid dynamics and total retinal fluid indices (TRFIs) with higher-order optical coherence tomography (OCT) for neovascular age-related macular degeneration (nAMD). Methods: A post hoc image analysis study was performed using the phase II OSPREY clinical trial comparing brolucizumab and aflibercept in nAMD. Higher-order OCT analysis using a machine learning-enabled fluid feature extraction platform was used to segment intraretinal fluid (IRF) and subretinal fluid (SRF) volumetric components. TRFI, the proportion of fluid volume against total retinal volume, was calculated. Longitudinal fluid metrics were evaluated for the following groups: all subjects (i.e. treatment agnostic), brolucizumab, and aflibercept. Results: Mean IRF and SRF volumes were significantly reduced from baseline at each timepoint for all groups. Fluid feature extraction allowed high-resolution assessment of quantitative fluid burden. A greater proportion of brolucizumab participants achieved true zero and minimal fluid (total fluid volume between 0.0001 and 0.001mm3) versus aflibercept participants at week 40. True zero fluid during q12 brolucizumab dosing was achieved in 36.6% to 38.5%, similar to the 25.6% to 38.5% during the corresponding q8 aflibercept cycles. TRFI was significantly reduced from baseline in all groups. Conclusions: Higher-order OCT analysis demonstrates the feasibility of fluid feature extraction and longitudinal volumetric fluid burden and TRFI characterization in nAMD, supporting a unique opportunity for fluid burden assessment and the impact on outcomes. Translational Relevance: Detection and characterization of disease activity is vital for optimal treatment of nAMD. Longitudinal assessment of fluid dynamics and the TRFI provide important proof of concept for future automated tools in characterizing disease activity.

Incremental Economic Burden of Depression in Ophthalmic Patients.

PURPOSE: We sought to analyze the incremental economic burden of depression on adults with concurrent ophthalmic conditions in the United States. DESIGN: Retrospective cross-sectional study. METHODS: Using the Medical Expenditure Panel Survey from 2016 to 2018, ophthalmic patients with ≥1 outpatient visit were identified by International Classification of Diseases, 10th revision, Clinical Modification codes and stratified based on the presence of concurrent depression. A multivariate 2-part regression model was used to determine incremental economic burden, health care sector utilization, and expenditures. RESULTS: Of 7279 ophthalmic patients, 1123 (15.43%) were diagnosed with depression (mean expenditures $17,017.25 ± $2019.13) and 6156 patients (84.57%) without depression (mean expenditures $9924.50 ± $692.94). Patients with depression were more likely to be female, white, lower income, use Medicare/Medicaid, and to have comorbidities (P < .001). These patients faced $5894.86 (95% confidence interval $4222.33-$7348.36, P < .001) in incremental economic expenditures because of depression, resulting in an additional $22.4 billion annually when extrapolating nationally. These patients had higher utilization for all health care service sectors (P < .025 for all) and higher expenditures for outpatient (P = .022) and prescription medications (P = .029) when adjusted for sociodemographic variables and comorbidities. Depression was responsible for 6.9% of inpatient admissions (the second-leading cause) for this cohort of patients. CONCLUSION: Ophthalmic patients with depression had a higher incremental economic burden and health care service sector utilization and expenditures. Patients with ophthalmic pathologies, including dry eye syndrome, blindness, and retinopathies, were more likely to be depressed. As psychiatric and ophthalmic conditions may have a bidirectional relationship, exacerbating disease severity and financial burden for patients with both, ophthalmologists may need to be more cognizant of the burden of depression among patients.