The clinical utility of a glaucoma polygenic risk score in four population-based European-ancestry cohorts.

OBJECTIVE: We used a polygenic risk score (PRS) to identify high-risk groups for primary open-angle glaucoma (POAG) within population-based cohorts. DESIGN: Secondary analysis of four prospective population-based studies. PARTICIPANTS: We included four European-ancestry cohorts: the United States (US) based Nurses' Health Study (NHS), NHS2, and the Health Professionals Follow-up Study, and the Rotterdam Study (RS) in the Netherlands. The US cohorts included female nurses and male health professionals aged 55+ years. The RS included residents aged 45 years or older living in Rotterdam, the Netherlands. METHODS: PRS weights were estimated by applying the Lassosum method on imputed genotype and phenotype data from the UK-Biobank. This resulted in 144,020 variants, single nucleotide polymorphism (SNPs) and indels, with non-zero betas that we used to calculate a PRS in the target populations. Using multivariable Cox proportional hazard models, we estimated the relationship between the standardized PRS and relative risk for POAG. Additionally, POAG prediction was tested by calculating these models' concordance (Harrell's C-statistic). Finally, we assessed the association between PRS tertiles and glaucoma-related traits. MAIN OUTCOME MEASURES: The relative risk for POAG and Harrell's C-statistic (the equivalent of an area-under-the-curve for longitudinal models). RESULTS: Among 1,046 cases and 38,809‬ controls, the relative risk (95% confidence interval) for POAG for participants in the highest PRS quintile was 3.99 (3.08, 5.18) in the US cohorts, and 4.89 (2.93, 8.17) in the Rotterdam Study, compared with participants with median genetic risk (3rd quintile). In restricted cubic spline analyses, the relation between continuous PRS and POAG risk increased exponentially in the US and Rotterdam cohorts (Pspline<0.05). Combining age, sex, intraocular pressure >25 mmHg, and family history resulted in a meta-analyzed concordance of 0.75 (0.73, 0.75). Adding the PRS to this model improved the concordance to 0.82 (0.80, 0.84). In a meta-analysis of all cohorts, cases in the highest tertile had a larger cup-disc ratio at diagnosis, by 0.11 (0.07, 0.15), and a 2.07-fold increased risk of requiring glaucoma surgery (1.19, 3.60). CONCLUSIONS: Incorporating a PRS into a POAG predictive model improves identification concordance from 0.75 up to 0.82, supporting its potential for guiding more cost-effective screening strategies.

Use of Diagnostic Codes for Primary Open-Angle Glaucoma Polygenic Risk Score Construction in Electronic Health Record-Linked Biobanks.

PURPOSE: Polygenic risk scores (PRSs) likely predict risk and prognosis of glaucoma. We compared the PRS performance for primary open-angle glaucoma (POAG), defined using International Classification of Diseases (ICD) codes vs manual medical record review. DESIGN: Retrospective cohort study. METHODS: We identified POAG cases in the Mount Sinai BioMe and Mass General Brigham (MGB) biobanks using ICD codes. We confirmed POAG based on optical coherence tomograms and visual fields. In a separate 5% sample, the absence of POAG was confirmed with intraocular pressure and cup-disc ratio criteria. We used genotype data and either self-reported glaucoma diagnoses or ICD-10 codes for glaucoma diagnoses from the UK Biobank and the lassosum method to compute a genome-wide POAG PRS. We compared the area under the curve (AUC) for POAG prediction based on ICD codes vs medical records. RESULTS: We reviewed 804 of 996 BioMe and 367 of 1006 MGB ICD-identified cases. In BioMe and MGB, respectively, positive predictive value was 53% and 55%; negative predictive value was 96% and 97%; sensitivity was 97% and 97%; and specificity was 44% and 53%. Adjusted PRS AUCs for POAG using ICD codes vs manual record review in BioMe were not statistically different (P ≥.21) by ancestry: 0.77 vs 0.75 for African, 0.80 vs 0.80 for Hispanic, and 0.81 vs 0.81 for European. Results were similar in MGB (P ≥.18): 0.72 vs 0.80 for African, 0.83 vs 0.86 for Hispanic, and 0.74 vs 0.73 for European. CONCLUSIONS: A POAG PRS performed similarly using either manual review or ICD codes in 2 electronic health record-linked biobanks; manual assessment of glaucoma status might not be necessary for some PRS studies. However, caution should be exercised when using ICD codes for glaucoma diagnosis given their low specificity (44%-53%) for manually confirmed cases of glaucoma.

Transcatheter or Surgical Replacement for Failed Bioprosthetic Aortic Valves.

Importance: The use of valve-in-valve (ViV) transcatheter aortic valve replacement (TAVR) has been rapidly expanding as an alternative treatment to redo surgical aortic valve replacement (SAVR) for failed bioprosthetic valves despite limited long-term data. Objective: To assess mortality and morbidity in patients undergoing intervention for failed bioprosthetic SAVR. Design, Setting, and Participants: This was a retrospective population-based cohort analysis conducted between January 1, 2015, and December 31, 2020, with a median (IQR) follow-up time of 2.3 (1.1-4.0) years. A total of 1771 patients with a history of bioprosthetic SAVR who underwent ViV-TAVR or redo SAVR in California, New York, and New Jersey were included. Data were obtained from the California Department of Health Care Access and Information, the New York Statewide Planning and Research Cooperative System, and the New Jersey Discharge Data Collection System. Exclusion criteria included undergoing TAVR or redo SAVR within 5 years from initial SAVR, as well as infective endocarditis, concomitant surgical procedures, and out-of-state residency. Propensity matching yielded 375 patient pairs. Data were analyzed from January to December 2023. Interventions: ViV-TAVR vs redo SAVR. Main Outcomes and Measurements: The primary outcome was all-cause mortality. Secondary outcomes were stroke, heart failure hospitalization, reoperation, major bleeding, acute kidney failure, new pacemaker insertion, and infective endocarditis. Results: From 2015 through 2020, the proportion of patients undergoing ViV-TAVR vs redo SAVR increased from 159 of 451 (35.3%) to 498 or 797 (62.5%). Of 1771 participants, 653 (36.9%) were female, and the mean (SD) age was 74.4 (11.3) years. Periprocedural mortality and stroke rates were similar between propensity-matched groups. The ViV-TAVR group had lower periprocedural rates of major bleeding (2.4% vs 5.1%; P = .05), acute kidney failure (1.3% vs 7.2%; P < .001), and new pacemaker implantations (3.5% vs 10.9%; P < .001). The 5-year all-cause mortality rate was 23.4% (95% CI, 15.7-34.1) in the ViV-TAVR group and 13.3% (95% CI, 9.2-18.9) in the redo SAVR group. In a landmark analysis, no difference in mortality was observed up to 2 years (hazard ratio, 1.03; 95% CI, 0.59-1.78), but after 2 years, ViV-TAVR was associated with higher mortality (hazard ratio, 2.97; 95% CI, 1.18-7.47) as well as with a higher incidence of heart failure hospitalization (hazard ratio, 3.81; 95% CI, 1.57-9.22). There were no differences in 5-year incidence of stroke, reoperation, major bleeding, or infective endocarditis. Conclusions and Relevance: Compared with redo SAVR, ViV-TAVR was associated with a lower incidence of periprocedural complications and a similar incidence of all-cause mortality through 2 years' follow-up. However, ViV-TAVR was associated with higher rates of late mortality and heart failure hospitalization. These findings may be influenced by residual confounding and require adjudication in a randomized clinical trial.

Creating ophthalmology experiences in undergraduate medical education: pilot of a cased-based learning ophthalmology tool.

PURPOSE: To evaluate medical student perceptions of a novel ophthalmology resource delivered through facilitated workshops in the core clerkship curriculum. METHODS: We created www.2020sim.com, a free case-based learning (CBL) ophthalmology tool, adapted from NephSIM (www.nephsim.com). The tool was first piloted with the internal medicine (IM) residents. After confirming a need, we focused on undergraduate medical education (UME) by expanding the 20/20 SIM content and partnering with the neurology (pilot academic year [AY] 2020-2021) and pediatric clerkships (pilot AY 2021-2022) to deliver a facilitated one-hour ophthalmology workshop within each clerkship's didactic curriculum. We evaluated the tool using pre- and post-surveys and knowledge assessments. RESULTS: Of 80 IM residents, 33 (41.3%) completed the needs assessment. Of the 25 residents who attended the workshop, 23 (92.0%) completed the exit survey. IM residents reported discomfort in several ophthalmology domains (9 of 14 rated mean score < 3.0), confirming a need. Most (n = 21/23, 91.3%) rated the tool as good/excellent. Of 145 neurology clerkship students, 125 (86.2%) and at least 88 (60.7%) students completed the pre- and post-test/exit surveys, respectively. On average, participants highly rated the tool, perceiving 20/20 SIM to be relevant to their education [4.1 (0.8)]. Mean pre- to post-test knowledge scores increased from 7.5 to 8.5/10.0 points (p < 0.001). Of the 136 pediatric clerkship students, 67 (49.3%) and 51 (37.5%) completed the pre- and post-surveys, respectively. Respondents perceived increased comfort with ophthalmology topics after the facilitated workshop [3.8 (0.8)]. Mean pre- to post-test knowledge scores trended from 1.8 to 2.0/5.0 points (p = 0.30). Collectively, 20/139 (14.4%) of exit survey respondents visited www.2020sim.com within 1 month after the workshop. CONCLUSION: After identifying areas of greatest need with residents, we partnered with core clerkships to deliver cross-disciplinary ophthalmology content in UME. We found high engagement with 20/20 SIM, with trends toward increased knowledge.

Genetic Associations Between Smoking- and Glaucoma-Related Traits.

Purpose: The purpose of this study was to describe the genetic relationship between smoking and glaucoma. Methods: We used summary-level genetic data for smoking initiation, smoking intensity (cigarettes per day [CPD]), intraocular pressure (IOP), vertical cup-disc ratio, and open-angle glaucoma (OAG) to estimate global genetic correlations (rg) and perform two-sample Mendelian randomization (MR) experiments that explored relations between traits. Finally, we examined associations between smoking genetic risk scores (GRS) and smoking traits with measured IOP and OAG in Rotterdam Study participants. Results: We identified weak inverse rg between smoking- and glaucoma-related traits that were insignificant after Bonferroni correction. However, MR analysis revealed that genetically predicted smoking initiation was associated with lower IOP (-0.18 mm Hg per SD, 95% confidence interval [CI] = -0.30 to -0.06, P = 0.003). Furthermore, genetically predicted smoking intensity was associated with decreased OAG risk (odds ratio [OR] = 0.74 per SD, 95% CI = 0.61 to 0.90, P = 0.002). In the Rotterdam Study, the smoking initiation GRS was associated with lower IOP (-0.09 mm Hg per SD, 95% CI = -0.17 to -0.01, P = 0.04) and lower odds of OAG (OR = 0.84 per SD, 95% CI = 0.73 to 0.98, P = 0.02) in multivariable-adjusted analyses. In contrast, neither smoking history nor CPD was associated with IOP (P ≥ 0.38) or OAG (P ≥ 0.54). Associations between the smoking intensity GRS and glaucoma traits were null (P ≥ 0.13). Conclusions: MR experiments and GRS generated from Rotterdam Study participants support an inverse relationship between smoking and glaucoma. Translational Relevance: Understanding the genetic drivers of the inverse relationship between smoking and glaucoma could yield new insights into glaucoma pathophysiology.

Outcomes Following SBRT vs. IMRT and 3DCRT for Older Patients with Stage IIA Node-Negative Non-Small Cell Lung Cancer > 5 cm.

BACKGROUND: To describe outcomes and compare the effectiveness of stereotactic body radiotherapy (SBRT) versus 3-dimensional conformal radiotherapy (3DCRT) or intensity-modulated radiotherapy (IMRT) in patients with stage IIA lymph node-negative (N0) non-small cell lung cancer (NSCLC) tumors > 5 cm. METHODS: We used the SEER-Medicare database (2005-2015) to identify patients > 65 years with stage IIA (AJCC TNM7) N0 NSCLC > 5 cm tumors who were treated with SBRT, IMRT, and 3DCRT. We used propensity score methods with inverse probability weighting to compare lung cancer-specific survival (LCSS), overall survival (OS), and toxicity. RESULTS: Of 584 patients, 88 (15%), 140 (24%), and 356 (61%) underwent SBRT, IMRT, and 3DCRT, respectively. The SBRT group was older (P = .004), had more comorbidities (P = .02), smaller tumors (P = .03), and more adenocarcinomas (P < .0001). We found a trend towards higher median unadjusted OS with SBRT compared to IMRT and 3DCRT (19 vs. 13 and 14 months, respectively, P = .37). In our propensity score-adjusted analyses, SBRT was significantly associated with better OS and LCSS compared to IMRT (HROS: 0.78, 95% CI: 0.68-0.89, HRLCSS: 0.70, 95% CI: 0.60-0.81) and 3DCRT (HROS: 0.81, 95% CI: 0.72-0.93, HRLCSS: 0.80, 95% CI: 0.68-0.93). SBRT-treated patients also had lower overall adjusted complication rates compared to IMRT (OR: 0.74, 95% CI: 0.55-0.99) and 3DCRT (OR: 0.53, 95% CI: 0.40-0.71). CONCLUSION: For patients with NSCLC tumors > 5 cm, SBRT trends towards fewer toxicities and improved survival compared to other forms of radiotherapy. Our findings support SBRT as an appropriate treatment strategy for older patients with larger inoperable NSCLC tumors.

The Association of Alcohol Consumption with Glaucoma and Related Traits: Findings from the UK Biobank.

PURPOSE: To examine the associations of alcohol consumption with glaucoma and related traits, to assess whether a genetic predisposition to glaucoma modified these associations, and to perform Mendelian randomization (MR) experiments to probe causal effects. DESIGN: Cross-sectional observational and gene-environment interaction analyses in the UK Biobank. Two-sample MR experiments using summary statistics from large genetic consortia. PARTICIPANTS: UK Biobank participants with data on intraocular pressure (IOP) (n = 109 097), OCT-derived macular inner retinal layer thickness measures (n = 46 236) and glaucoma status (n = 173 407). METHODS: Participants were categorized according to self-reported drinking behaviors. Quantitative estimates of alcohol intake were derived from touchscreen questionnaires and food composition tables. We performed a 2-step analysis, first comparing categories of alcohol consumption (never, infrequent, regular, and former drinkers) before assessing for a dose-response effect in regular drinkers only. Multivariable linear, logistic, and restricted cubic spline regression, adjusted for key sociodemographic, medical, anthropometric, and lifestyle factors, were used to examine associations. We assessed whether any association was modified by a multitrait glaucoma polygenic risk score. The inverse-variance weighted method was used for the main MR analyses. MAIN OUTCOME MEASURES: Intraocular pressure, macular retinal nerve fiber layer (mRNFL) thickness, macular ganglion cell-inner plexiform layer (mGCIPL) thickness, and prevalent glaucoma. RESULTS: Compared with infrequent drinkers, regular drinkers had higher IOP (+0.17 mmHg; P < 0.001) and thinner mGCIPL (-0.17 µm; P = 0.049), whereas former drinkers had a higher prevalence of glaucoma (odds ratio, 1.53; P = 0.002). In regular drinkers, alcohol intake was adversely associated with all outcomes in a dose-dependent manner (all P < 0.001). Restricted cubic spline regression analyses suggested nonlinear associations, with apparent threshold effects at approximately 50 g (∼6 UK or 4 US alcoholic units)/week for mRNFL and mGCIPL thickness. Significantly stronger alcohol-IOP associations were observed in participants at higher genetic susceptibility to glaucoma (Pinteraction < 0.001). Mendelian randomization analyses provided evidence for a causal association with mGCIPL thickness. CONCLUSIONS: Alcohol intake was consistently and adversely associated with glaucoma and related traits, and at levels below current United Kingdom (< 112 g/week) and United States (women, < 98 g/week; men, < 196 g/week) guidelines. Although we cannot infer causality definitively, these results will be of interest to people with or at risk of glaucoma and their advising physicians. FINANCIAL DISCLOSURE(S): Proprietary or commercial disclosure may be found after the references.

Alcohol, Intraocular Pressure, and Open-Angle Glaucoma: A Systematic Review and Meta-analysis.

TOPIC: This systematic review and meta-analysis summarizes the existing evidence for the association of alcohol use with intraocular pressure (IOP) and open-angle glaucoma (OAG). CLINICAL RELEVANCE: Understanding and quantifying these associations may aid clinical guidelines or treatment strategies and shed light on disease pathogenesis. The role of alcohol, a modifiable factor, in determining IOP and OAG risk also may be of interest from an individual or public health perspective. METHODS: The study protocol was preregistered in the Open Science Framework Registries (https://osf.io/z7yeg). Eligible articles (as of May 14, 2021) from 3 databases (PubMed, Embase, Scopus) were independently screened and quality assessed by 2 reviewers. All case-control, cross-sectional, and cohort studies reporting a quantitative effect estimate and 95% confidence interval (CI) for the association between alcohol use and either IOP or OAG were included. The evidence for the associations with both IOP and OAG was qualitatively summarized. Effect estimates for the association with OAG were pooled using random effects meta-analysis. Studies not meeting formal inclusion criteria for systematic review, but with pertinent results, were also appraised and discussed. Certainty of evidence was assessed using the Grading of Recommendations Assessment, Development and Evaluation (GRADE) framework. RESULTS: Thirty-four studies were included in the systematic review. Evidence from 10 studies reporting an association with IOP suggests that habitual alcohol use is associated with higher IOP and prevalence of ocular hypertension (IOP > 21 mmHg), although absolute effect sizes were small. Eleven of 26 studies, comprising 173 058 participants, that tested for an association with OAG met inclusion criteria for meta-analysis. Pooled effect estimates indicated a positive association between any use of alcohol and OAG (1.18; 95% confidence interval [CI], 1.02-1.36; P = 0.03; I2 = 40.5%), with similar estimates for both prevalent and incident OAG. The overall GRADE certainty of evidence was very low. CONCLUSIONS: Although this meta-analysis suggests a harmful association between alcohol use and OAG, our results should be interpreted cautiously given the weakness and heterogeneity of the underlying evidence base, the small absolute effect size, and the borderline statistical significance. Nonetheless, these findings may be clinically relevant, and future research should focus on improving the quality of evidence.

Challenges and opportunities caring for neurology outpatients across language differences.

BACKGROUND: With over 66 million Americans who speak over 350 languages other than English at home, we sought to examine attitudes and behaviors of neurology clinicians and staff when communicating across language differences. METHODS: We conducted an electronic-enabled cross-sectional survey of clinicians and patient services coordinators working at an academic neurology outpatient clinic. Questions focused on professional medical interpreter (PMI) services usage, satisfaction, and perceived barriers to utilization. RESULTS: A total of 82/235 (35%) neurology clinicians and 24/52 (46%) coordinators met the study eligibility criteria. Most clinicians (96%) reported seeing at least 1 non-English-speaking patient and using PMI services (85%) in the last month. Most commonly self-reported interpretation modalities were face-to-face PMI services (39%) and patients' family members or friends (28%). Perceived barriers to using PMI included time constraints (60%) and lack of available face-to-face PMI (51%). Among patient services coordinators, 33% reported consistently asking patients their preferred language and 50% if they needed a PMI for appointments. Most respondents (77% clinicians and 71% coordinators) were satisfied with PMI services. Recommendations included having more available face-to-face PMI, greater coordinated efforts to preschedule PMI, and more education on the effective use of PMI. CONCLUSIONS: More than 70% of outpatient neurology clinicians and patient services coordinators were satisfied with PMI. However, their perceived barriers and reported practices suggest a need for updated policies and education to improve the use of PMI services.