Reporting Clinical Endpoints in Studies of Minimally Invasive Glaucoma Surgery.

Minimally invasive glaucoma surgery (MIGS) refers to a group of procedures generally characterized by an ab interno approach, minimal trauma to ocular tissue, moderate efficacy, an excellent safety profile, and rapid recovery. The number of MIGS procedures continues to increase, and their use has become widespread among glaucoma and cataract specialists. Standardization of the methodology and reporting of clinical endpoints in MIGS investigations enhances interpretation and comparison across different studies. The assessment of surgical interventions should not only consider statistical significance, but also whether the outcome is meaningful to patients. Minimal clinically important difference (MCID) is defined as the smallest change in a treatment outcome that is considered beneficial for an individual patient and prompts a change in their clinical management, and expert consensus is an accepted approach to determine the MCID. The American Academy of Ophthalmology's Glaucoma Preferred Practice Pattern Panel is an expert panel that develops guidelines identifying characteristics and components of quality eye care. The panel recommends that the cumulative probability of surgical success at 2 years with Kaplan-Meier survival analysis be used as the primary efficacy endpoint in MIGS studies. The panel suggests that surgical success for standalone MIGS be defined as intraocular pressure (IOP) ≤ 21 mmHg and reduced ≥ 20% from baseline without an increase in glaucoma medications, additional laser or incisional glaucoma surgery, loss of light perception vision, or hypotony. The proposed MCID for the cumulative probability of success of standalone MIGS at 2 years is 50%. The panel recommends that surgical success for MIGS combined with cataract extraction with intraocular lens implantation (CE-IOL) be defined as a decrease in glaucoma medical therapy ≥ 1 medication from baseline without an increase in IOP, or IOP ≤ 21 mmHg and reduced ≥ 20% from baseline without an increase in glaucoma medications, additional laser or incisional glaucoma surgery, loss of light perception vision, or hypotony. The suggested MCID for the cumulative probability of success for CE-IOL/MIGS at 2 years is 65%.

Factors Associated with Missing Sociodemographic Data in the IRIS® (Intelligent Research in Sight) Registry.

Purpose: To describe the prevalence of missing sociodemographic data in the IRIS® (Intelligent Research in Sight) Registry and to identify practice-level characteristics associated with missing sociodemographic data. Design: Cross-sectional study. Participants: All patients with clinical encounters at practices participating in the IRIS Registry prior to December 31, 2020. Methods: We describe geographic and temporal trends in the prevalence of missing data for each sociodemographic variable (age, sex, race, ethnicity, geographic location, insurance type, and smoking status). Each practice contributing data to the registry was categorized based on the number of patients, number of physicians, geographic location, patient visit frequency, and patient population demographics. Main Outcome Measures: Multivariable linear regression was used to describe the association of practice-level characteristics with missing patient-level sociodemographic data. Results: This study included the electronic health records of 66 477 365 patients receiving care at 3306 practices participating in the IRIS Registry. The median number of patients per practice was 11 415 (interquartile range: 5849-24 148) and the median number of physicians per practice was 3 (interquartile range: 1-7). The prevalence of missing patient sociodemographic data were 0.1% for birth year, 0.4% for sex, 24.8% for race, 30.2% for ethnicity, 2.3% for 3-digit zip code, 14.8% for state, 5.5% for smoking status, and 17.0% for insurance type. The prevalence of missing data increased over time and varied at the state-level. Missing race data were associated with practices that had fewer visits per patient (P < 0.001), cared for a larger nonprivately insured patient population (P = 0.001), and were located in urban areas (P < 0.001). Frequent patient visits were associated with a lower prevalence of missing race (P < 0.001), ethnicity (P < 0.001), and insurance (P < 0.001), but a higher prevalence of missing smoking status (P < 0.001). Conclusions: There are geographic and temporal trends in missing race, ethnicity, and insurance type data in the IRIS Registry. Several practice-level characteristics, including practice size, geographic location, and patient population, are associated with missing sociodemographic data. While the prevalence and patterns of missing data may change in future versions of the IRIS registry, there will remain a need to develop standardized approaches for minimizing potential sources of bias and ensure reproducibility across research studies. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Loss to Follow up in Patients with Proliferative Diabetic Retinopathy Treated with Anti-VEGF Therapy and/or Panretinal Photocoagulation in the United States.

PURPOSE: To determine the rate of loss to follow up (LTFU) in patients with proliferative diabetic retinopathy (PDR) treated with anti-VEGF therapy and/or panretinal photocoagulation (PRP) in the United States. DESIGN: Retrospective cohort study using the national IRIS® (Intelligent Research in Sight) Registry data. SUBJECTS: A total of 73 595 eyes of 56 590 patients with PDR diagnosed between 2013 and 2015 and treated between 2013 and 2018. METHODS: Multivariable logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (CIs). MAIN OUTCOME MEASURES: Loss to follow up was no follow up within 12 months from last treatment. RESULTS: For patient eyes treated for PDR, 11.7% (95% CI, 11.5-12.0) were LTFU. Among patients with PDR treated with anti-VEGF therapy alone, PRP alone, and anti-VEGF and PRP, the rates of LTFU were 12.3% (95% CI, 11.8-12.7), 12.6% (95% CI, 12.1-13.0), and 10.8% (95% CI, 10.4-11.1), respectively. Risk factors for LTFU include Black or African American race/ethnicity (odds ratio [OR], 1.26; 95% CI, 1.13-1.41; P < 0.001), Hispanic ethnicity (OR, 1.28; 95% CI, 1.16-1.42; P < 0.001), Native American/Alaska Native or Native Hawaiian/Other Pacific Islander race/ethnicity (OR, 2.69; 95% CI, 2.14-3.38; P < 0.001), and unilateral disease (OR, 2.05; CI, 1.88-2.23; P < 0.001). Odds for LTFU were higher with patients with baseline vision of 20/50 to 20/200 (OR, 1.25; 95% CI, 1.15-1.36; P < 0.001) and with vision worse than 20/200 (OR, 1.22; 95% CI, 1.05-1.42; P = 0.01) than for patient eyes with a baseline visual acuity of 20/40 or better. Odds for LTFU were lower for Medicare Fee-for-Service (OR, 0.71; 95% CI, 0.64-0.79; P < 0.001) and Medicare Managed (OR, 0.66; 95% CI, 0.56-0.78; P < 0.001) compared with private insurance. Odds for LTFU were lower for patients treated in the Midwest (OR, 0.72; 95% CI, 0.64-0.81; P < 0.001) and West (OR, 0.83; 95% CI, 0.74-0.94; P = 0.003) compared with in the South region. CONCLUSIONS: The rate of LTFU is between 10% and 12% among patients with PDR who were treated with anti-VEGF injections and/or PRP. Risk factors include Black or African American race/ethnicity, Hispanic ethnicity, baseline vision worse than 20/40, private insurance, South region, and unilateral disease. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Intraocular Pressure Spike Following Stand-Alone Phacoemulsification in the IRIS® Registry (Intelligent Research in Sight).

PURPOSE: To evaluate risk factors for intraocular pressure (IOP) spike after cataract surgery using the IRIS® Registry (Intelligent Research in Sight). DESIGN: Retrospective clinical cohort study. PARTICIPANTS: Adults with IRIS Registry data who underwent stand-alone phacoemulsification from January 1, 2013, through September 30, 2019. METHODS: Intraocular pressure spike was defined as postoperative IOP of > 30 mmHg and > 10 mmHg from the baseline within the first postoperative week. Odds ratios (ORs) for demographic and clinical characteristics were calculated with univariable and multivariable logistic regression analyses. MAIN OUTCOME MEASURES: Incidence and OR of IOP spike. RESULTS: We analyzed data from 1 191 034 eyes (patient mean age, 71.3 years; 61.2% female sex; and 24.8% with glaucoma). An IOP spike occurred in 3.7% of all eyes, 5.2% of eyes with glaucoma, and 3.2% of eyes without glaucoma (P < 0.0001). Multivariable analyses of all eyes indicated a greater risk of IOP spike with higher baseline IOP (OR, 1.57 per 3 mmHg), male sex (OR, 1.79), glaucoma (OR, 1.20), Black race (OR, 1.39 vs. Asian and 1.21 vs. Hispanic), older age (OR, 1.07 per 10 years), and complex surgery coding (OR, 1.22; all P < 0.0001). Diabetes (OR, 0.90) and aphakia after surgery (OR, 0.60) seemed to be protective against IOP spike (both P < 0.0001). Compared with glaucoma suspects, ocular hypertension (OR, 1.55), pigmentary glaucoma (OR, 1.56), and pseudoexfoliative glaucoma (OR, 1.52) showed a greater risk of IOP spike and normal-tension glaucoma (OR, 0.55), suspected primary angle closure (PAC; OR, 0.67), and PAC glaucoma (OR, 0.81) showed less risk (all P < 0.0001). Using more baseline glaucoma medications was associated with IOP spike (OR, 1.18 per medication), whereas topical ß-blocker use (OR, 0.68) was protective (both P < 0.0001). CONCLUSIONS: Higher baseline IOP, male sex, glaucoma, Black race, older age, and complex cataract coding were associated with early postoperative IOP spike, whereas diabetes and postoperative aphakia were protective against a spike after stand-alone phacoemulsification. Glaucomatous eyes demonstrated different risk profiles dependent on glaucoma subtype. The findings may help surgeons to stratify and mitigate the risk of IOP spike after cataract surgery. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Feasibility of cross-vendor linkage of ophthalmic images with electronic health record data: an analysis from the IRIS Registry®.

Purpose: To link compliant, universal Digital Imaging and Communications in Medicine (DICOM) ophthalmic imaging data at the individual patient level with the American Academy of Ophthalmology IRIS® Registry (Intelligent Research in Sight). Design: A retrospective study using de-identified EHR registry data. Subjects Participants Controls: IRIS Registry records. Materials and Methods: DICOM files of several imaging modalities were acquired from two large retina ophthalmology practices. Metadata tags were extracted and harmonized to facilitate linkage to the IRIS Registry using a proprietary, heuristic patient-matching algorithm, adhering to HITRUST guidelines. Linked patients and images were assessed by image type and clinical diagnosis. Reasons for failed linkage were assessed by examining patients' records. Main Outcome Measures: Success rate of linking clinicoimaging and EHR data at the patient level. Results: A total of 2 287 839 DICOM files from 54 896 unique patients were available. Of these, 1 937 864 images from 46 196 unique patients were successfully linked to existing patients in the registry. After removing records with abnormal patient names and invalid birthdates, the success linkage rate was 93.3% for images. 88.2% of all patients at the participating practices were linked to at least one image. Conclusions and Relevance: Using identifiers from DICOM metadata, we created an automated pipeline to connect longitudinal real-world clinical data comprehensively and accurately to various imaging modalities from multiple manufacturers at the patient and visit levels. The process has produced an enriched and multimodal IRIS Registry, bridging the gap between basic research and clinical care by enabling future applications in artificial intelligence algorithmic development requiring large linked clinicoimaging datasets.

Visual Acuity Outcomes and Complications after Intraocular Lens Exchange: An IRIS® Registry (Intelligent Research in Sight) Analysis.

PURPOSE: To assess risk factors for worse visual acuity (VA) outcomes after intraocular lens (IOL) exchange, and the most common postsurgical complications. DESIGN: Retrospective cohort study. PARTICIPANTS: Eyes from patients 18 years of age and older in the IRIS® Registry (Intelligent Research in Sight) that underwent IOL exchange in the United States between 2013 and 2019. METHODS: Vision improvement compared with baseline was determined at 1 year after surgery. A multivariable generalized estimating equation model adjusting for demographic factors and baseline vision was used to identify factors associated with VA worse than 20/40 at 1 year. MAIN OUTCOME MEASURES: Visual outcomes and postoperative complications after lens exchange. RESULTS: A total of 46 063 procedures (n = 41 925 unique patients) were included in the analysis. Overall, VA improved from a mean ± standard deviation (SD) of 0.53 ± 0.58 logarithm of the minimum angle of resolution (logMAR; Snellen equivalent, 20/70) before surgery to a mean ± SD of 0.31 ± 0.40 logMAR (Snellen equivalent, 20/40) at 1 year. Among eyes with VA recorded at both baseline and 1 year after surgery, 60.5% achieved VA of 20/40 or better at 1 year. Vision of worse than 20/40 at 1 year was associated with greater age (odds ratio [OR], 1.16 per 5-year increase; 95% confidence interval [CI], 1.14-1.18) and higher logMAR baseline VA (OR, 1.14 per 0.1-logMAR increase; 95% CI, 1.14-1.15), as well as Black or African American (OR, 1.96; 95% CI, 1.68-2.28), Hispanic (OR, 1.82; 95% CI, 1.59-2.08), and Asian (OR, 1.48; 95% CI, 1.21-1.81) race or ethnicity versus White race, Medicaid (OR, 1.78; 95% CI, 1.40-2.25) versus private insurance, smoking history (OR, 1.22; 95% CI, 1.11-1.35), and concurrent anterior (OR, 1.65; 95% CI, 1.51-1.81) and posterior (OR, 1.53; 95% CI, 1.41-1.66) vitrectomy versus no vitrectomy. Female sex was associated with better VA at 1 year. At 1 year, epiretinal membrane (10.9%), mechanical lens complication (9.4%), and dislocation of the replacement lens (7.1%) were the most common complications. CONCLUSIONS: In this large national cohort, the annual number of IOL exchanges rose steadily over time. Vision improved in 60.2% of patients; worse visual outcomes were associated with greater age, worse baseline vision, Black race, Hispanic ethnicity, Medicaid insurance, smoking, and concurrent vitrectomy. Epiretinal membrane was the most common complication. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

The impact of month and season on the incidence of giant cell arteritis: an Intelligent Research in Sight (IRIS) Registry analysis.

PURPOSE: Previous investigations into the relationship between season and the incidence of giant cell arteritis (GCA) have produced conflicting results. This study aimed to explore the impact of season and new diagnoses of GCA in a more definitive sense by employing the large dataset of the Intelligent Research in Sight (IRIS) database. METHODS: The IRIS Registry was queried to identify new cases of GCA from 2013 to 2021. Statistical analyses were performed to determine the significance of the relationship between the time of year and the incidence of GCA on regional and nationwide bases via Cochran's Q statistical test. RESULTS: A total of 27,339 eyes with a new diagnosis of GCA were identified. Neither the month nor the season of the year correlated with the incidence of GCA, regardless of geographic location within the USA (p > 0.05 for each variable). CONCLUSIONS: In the USA, the incidence of GCA does not appear to vary by month or season. While this finding contradicts certain previous studies that identified a relationship, the cohort of patients identified from the IRIS Registry is much larger than that of previous investigations. Clinicians should be mindful of the possibility of GCA, regardless of the time of the year.

Prevalence and Risk Factors of Blindness Among Primary Angle Closure Glaucoma Patients in the United States: An IRIS Registry Analysis.

PURPOSE: To assess the prevalence and risk factors of blindness among patients newly diagnosed with primary angle closure glaucoma (PACG) in the United States. DESIGN: Retrospective cross-sectional study. METHODS: Eligible patients from the American Academy of Ophthalmology (AAO) Intelligent Research in Sight (IRIS) Registry had newly diagnosed PACG, defined as: 1) observable during a 24-month lookback period from index date of PACG diagnosis; 2) no history of eye drops, laser, or cataract surgery unless preceded by a diagnosis of anatomical narrow angle (ANA); and 3) no history of glaucoma surgery. Logistic regression models were developed to identify risk factors for any (one or both eyes) or bilateral (both eyes) blindness (visual acuity ≤20/200) at first diagnosis of PACG. RESULTS: Among 43,901 eligible patients, overall prevalence of any and bilateral blindness were 11.5% and 1.8%, respectively. Black and Hispanic patients were at higher risk of any (odds ratios [ORs] 1.42 and 1.21, respectively; P < .001) and bilateral (ORs 2.04 and 1.53, respectively; P < .001) blindness compared with non-Hispanic White patients adjusted for ocular comorbidities. Age <50 or >80 years, male sex, Medicaid or Medicare insurance product, and Southern or Western practice region also conferred a higher risk of blindness (OR > 1.28; P ≤ .01). CONCLUSIONS: Blindness affects 1 of 9 patients with newly diagnosed PACG in the IRIS Registry. Black and Hispanic patients and Medicaid and Medicare recipients are at significantly higher risk. These findings highlight the severe ocular morbidity among patients with PACG and the need for improved disease awareness and detection methods.

Shifts in ophthalmic care utilization during the COVID-19 pandemic in the US.

BACKGROUND: Healthcare restrictions during the COVID-19 pandemic, particularly in ophthalmology, led to a differential underutilization of care. An analytic approach is needed to characterize pandemic health services usage across many conditions. METHODS: A common analytical framework identified pandemic care utilization patterns across 261 ophthalmic diagnoses. Using a United States eye care registry, predictions of utilization expected without the pandemic were established for each diagnosis via models trained on pre-pandemic data. Pandemic effects on utilization were estimated by calculating deviations between observed and expected patient volumes from January 2020 to December 2021, with two sub-periods of focus: the hiatus (March-May 2020) and post-hiatus (June 2020-December 2021). Deviation patterns were analyzed using cluster analyses, data visualizations, and hypothesis testing. RESULTS: Records from 44.62 million patients and 2455 practices show lasting reductions in ophthalmic care utilization, including visits for leading causes of visual impairment (age-related macular degeneration, diabetic retinopathy, cataract, glaucoma). Mean deviations among all diagnoses are 67% below expectation during the hiatus peak, and 13% post-hiatus. Less severe conditions experience greater utilization reductions, with heterogeneities across diagnosis categories and pandemic phases. Intense post-hiatus reductions occur among non-vision-threatening conditions or asymptomatic precursors of vision-threatening diseases. Many conditions with above-average post-hiatus utilization pose a risk for irreversible morbidity, such as emergent pediatric, retinal, or uveitic diseases. CONCLUSIONS: We derive high-resolution insights on pandemic care utilization in the US from high-dimensional data using an analytical framework that can be applied to study healthcare disruptions in other settings and inform efforts to pinpoint unmet clinical needs.

The COVID-19 pandemic disrupted healthcare services globally, including eye care in the United States. Using a US eye disease database, we measured how the pandemic impacted patient visits for 261 eye diagnoses by comparing actual visit volumes for each diagnosis with what would have been expected without the pandemic. We identified groups of conditions with similar changes in visit levels and examined whether these shifts were related to characteristics of the diagnoses studied. We found extended decreases in patient presentations for most eye conditions, with greater reductions for less severe diagnoses, and with anomalies and differences in this trend across diagnosis categories and pandemic sub-periods. This highlights areas of potentially unmet need in vision care arising from the pandemic.

Generative Artificial Intelligence Through ChatGPT and Other Large Language Models in Ophthalmology: Clinical Applications and Challenges.

The rapid progress of large language models (LLMs) driving generative artificial intelligence applications heralds the potential of opportunities in health care. We conducted a review up to April 2023 on Google Scholar, Embase, MEDLINE, and Scopus using the following terms: "large language models," "generative artificial intelligence," "ophthalmology," "ChatGPT," and "eye," based on relevance to this review. From a clinical viewpoint specific to ophthalmologists, we explore from the different stakeholders' perspectives-including patients, physicians, and policymakers-the potential LLM applications in education, research, and clinical domains specific to ophthalmology. We also highlight the foreseeable challenges of LLM implementation into clinical practice, including the concerns of accuracy, interpretability, perpetuating bias, and data security. As LLMs continue to mature, it is essential for stakeholders to jointly establish standards for best practices to safeguard patient safety. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Tube Versus Trabeculectomy IRIS Registry Study: 1-Year Secondary Treatment Outcomes.

PURPOSE: To describe 1-year secondary outcomes in the Tube Versus Trabeculectomy IRIS® (Intelligent Registry In Sight) Registry Study (TVTIRIS), and to compare to the TVT randomized controlled trial (TVTRCT). DESIGN: TVTIRIS was a retrospective cohort study. METHODS: The 2013-2017 IRIS Registry was used to identify eyes that received a tube shunt (tube) or trabeculectomy after a previous trabeculectomy and/or cataract surgery and had 1 year of follow-up. The TVTRCT compared a Baerveldt 350-mm2 glaucoma implant to trabeculectomy in similar eyes. RESULTS: In the TVTIRIS cohort, the tube (n = 236, 56.3%) and trabeculectomy (n = 183, 43.7%) groups had similar and significant reductions in intraocular pressure (IOP) from baseline to 1 year. In the tube group, IOP (mean ± SD) decreased from 26.6 ± 6.5 mm Hg at baseline to 14.3 ± 4.8 mm Hg at 1 year. In the trabeculectomy group, IOP decreased from 25.3 ± 6.4 mm Hg at baseline to 13.5 ± 5.2 mm Hg at 1 year. The trabeculectomy groups from both studies had similar 1-year IOP reduction (P = .18), although the TVTRCT cohort used fewer medications at all time points (P < .01). There were more pronounced differences in the mean IOP and medications between the tube groups in the 2 studies, presumably due to the inclusion of valved tubes in TVTIRIS. More reoperations occurred in TVTIRIS. CONCLUSIONS: The TVTIRIS tube and trabeculectomy groups had comparable 1-year IOP reduction, although trabeculectomy eyes used fewer glaucoma medications. The trabeculectomy group in TVTIRIS and TVTRCT had similar IOP and medication reduction at 1 year. Randomized controlled trials and electronic health record data both provide invaluable insight into surgical outcomes.