Citations

Précis: For patients with glaucoma, metabolic syndrome was associated with higher intraocular pressure and greater central corneal thickness. Patients with metabolic syndrome were more likely to have ocular hypertension. Purpose: The purpose of this study was to determine whether glaucomatous optic neuropathy, also known as glaucoma, and ocular hypertension are more likely to occur in patients with metabolic syndrome. Patients and Methods: Patients in Olmsted County, MN, were identified as having metabolic syndrome based on diagnosis codes, laboratory values, and/or medication use to meet 3 or more of the 5 standard criteria for diagnosing metabolic syndrome: systemic hypertension, hyperglycemia, hypertriglyceridemia, reduced high-density lipoprotein cholesterol, and central adiposity defined by increased body mass index. Patients with glaucoma, including primary open angle, low tension, pigment dispersion, and pseudoexfoliation, were identified using diagnostic codes. The charts of patients with glaucoma were individually reviewed to collect visual acuity, intraocular pressure, cup to disc ratio, central corneal thickness, visual field mean deviation, retinal nerve fiber layer thickness, and treatment of intraocular pressure. Patients with ocular hypertension were separately identified and similarly evaluated. Results: For patients with glaucoma, those with metabolic syndrome had higher intraocular pressure and greater central corneal thickness compared with those without metabolic syndrome. After adjustment for central corneal thickness, there was no longer a significant difference in intraocular pressure between groups. Metabolic syndrome was also associated with the diagnosis of ocular hypertension, and although central corneal thickness trended higher in patients with metabolic syndrome, it did not attain statistical significance. Conclusion: In Olmsted County, though metabolic syndrome was associated with ocular hypertension and higher intraocular pressure in patients with glaucoma, the results were likely related to a thicker central corneal in this patient population.

Abstract Background: Reduced or low-dose direct oral anticoagulants (DOACs) have been studied in randomized control trials for the extended prevention of venous thromboembolism (VTE) after 6 months of treatment at the therapeutic doses. The real-world effectiveness as well as utilization of this approach in clinical practice compared to continuing at therapeutic doses is unknown. Aims: Evaluate the efficacy of reduced-dose DOACs compared to standard therapeutic anticoagulation in patients with extended anticoagulation. Methods: Consecutive patients with VTE were identified using the Mayo Clinic VTE Registry from March 1st , 2013 to December 31st, 2020. Patients were followed prospectively for outcomes of VTE recurrence, death, major bleeding and clinically relevant non major bleeding (CRNMB) either in person or by survey. Type of anticoagulation and dose changes were recorded, and progressing to a low dose was treated as an endpoint. In the models relating it to the outcome, it was treated as a time-dependent covariate in the cox models. After completing standard anticoagulation treatment for 3 months with any anticoagulant, patients continuing anticoagulation were divided into two groups: standard therapeutic anticoagulation (any drug) vs those who transitioned to rivaroxaban 10 mg daily or apixaban 2.5mg twice daily any time after 3 months. Patients with recurrent VTE, major or CRNMB during the first 3 months were excluded from further analysis. Results: 219 patients (153 on Apixaban and 66 on Rivaroxaban) were identified in the low dose DOAC and 2521 in the standard anticoagulation group. The mean age was 60.7 years, mean weight was 93.2 Kg and 55.9% were males (Table 1). Patients on low dose DOACs were about the same age and weight compared to standard anticoagulation group. Among all diagnosis categories, patients with active cancer were less likely to be prescribed low dose DOACs (HR 0.56; 95%CI 0.42-0.73; P<0.001), while low dose DOACs prescription was more likely in patients with pulmonary embolism (HR 1.45; 95%CI 1.11-1.89; P=0.007). The median months to start a low dose DOAC after completing the 3 months was 3.1 months with standard deviation of 6.6 months and interquartile range 2.8 months. There was no statistically significant association in the likelihood of going to a low dose group in relation to VTE recurrence (HR 1.36; 95%CI 0.42-4.45; P=0.61) or major bleeding (HR 0.59; 95%CI 0.08-4.37; P=0.61). However, transitioning to low dose DOAC was associated with reduced mortality (HR 0.53; 95%CI 0.35-0.80; P=0.003). Also, patients on low dose DOACs were more likely to have a CRNMB (HR 2.76; 95%CI 1.15-6.62; P=0.02). Conclusion: In this study of patients continuing anticoagulation past 3 months for an initial acute venous thromboembolic event, transitioning to low dose DOACs was not associated with any statistically significant association with VTE recurrence or major bleeding. However, mortality was lower and CRNMB was higher in this unadjusted analysis. Our results show that physicians are not always waiting until 6 months to transition to low doses and low doses are being utilized in cancer patients. Further research is needed to better understand the higher risk for CRNMB identified in this group. Figure 1 Figure 1. Disclosures No relevant conflicts of interest to declare.

Précis: Multiple systemic vascular-associated conditions including systemic hypertension and hypotension, diabetes mellitus, migraine headache, peripheral vascular disease, Raynaud syndrome, and anemia were associated with low-tension glaucoma. Purpose: The purpose of this study was to identify systemic risk factors associated with low-tension glaucoma. Patients and Methods: A retrospective case-control study design was employed to identify patients seen at the Mayo Clinic Department of Ophthalmology between 2005 and 2015 with low-tension glaucoma and an age-matched and sex-matched control group, each containing 277 patients. Results: The low-tension glaucoma group had more myopic refractive errors (−1.6 vs. −1.0 D, P <0.001), lower intraocular pressure (14.2 vs. 15.2 mm Hg, P <0.001), and a higher cup-to-disc ratio (0.7 vs. 0.3, P <0.001). The low-tension glaucoma group was significantly less likely to be obese (body mass index >30, P =0.03). This group had a significantly higher prevalence of systemic hypertension [odds ratio (OR): 1.64, P =0.004], diabetes mellitus (OR: 3.01, P <0.001), peripheral vascular disease (OR: 2.61, P =0.009), migraine headache (OR: 2.12, P =0.02), anemia (OR: 2.18, P =0.003), systemic hypotension (OR: 4.43, P <0.001), Raynaud syndrome (OR: 3.09, P =0.05), and angiotensin-converting enzyme inhibitor (OR: 1.64, P =0.01) or calcium channel blocker use (OR: 1.98, P =0.004). After adjusting for systemic hypertension, calcium channel blocker use remained significant (OR: 1.70, P =0.03). No significant difference was found between groups with respect to hyperlipidemia, obstructive sleep apnea, coronary artery disease, carotid stenosis, stroke, or statin, angiotensin-converting enzyme inhibitor, angiotensin receptor blocker, beta-blocker, or metformin use. Conclusions: Multiple vascular-associated conditions were associated with low-tension glaucoma including systemic hypertension, diabetes mellitus, peripheral vascular disease, migraine headache, Raynaud syndrome, anemia, systemic hypotension, and calcium channel blocker use. This study strengthens the evidence for the vascular hypothesis of low-tension glaucoma.

Purpose: The purpose of this study is to quantify cancer risk in patients with Fuchs endothelial corneal dystrophy (FECD). Methods: Using the 2014 to 2016 Medicare Limited 5% Data Sets—Carrier Line File, US Medicare fee-for-service beneficiaries (aged 65 years or older) with FECD and cancer were identified through International Classification of Diseases, ninth and 10th Revision diagnostic codes from January 1, 2014, to December 31, 2016. The main outcome measures were odds ratios (ORs) of cancer at various anatomic locations in patients with versus without FECD. Results: Of the 1,462,740 Medicare beneficiaries, 15,534 patients (1.1%) had an International Classification of Disease code for FECD. Compared with US Medicare beneficiaries without FECD, patients with FECD were at increased risk for the following malignancies: breast [OR: 1.32; 95% confidence interval (CI): 1.22–1.43; P < 0.001], cutaneous basal cell (OR: 1.42; 95% CI: 1.35–1.49; P < 0.001), cutaneous melanoma (OR: 1.20; 95% CI: 1.03–1.40; P = 0.02), cutaneous squamous cell (OR: 1.45; 95% CI: 1.38–1.53; P < 0.001), ovarian (OR: 1.84; 95% CI: 1.48–2.30; P < 0.001), and thyroid (OR: 1.32; 95% CI: 1.04–1.68; P = 0.02). By contrast, FECD cases were at lower odds of having lung (OR: 0.81; 95% CI: 0.71–0.93; P = 0.003) and prostate cancer diagnoses (OR: 0.88; 95% CI: 0.81–0.96; P = 0.002). Conclusions: Patients with FECD aged 65 years or older may be at increased risk for cancer at several anatomic locations. Follow-up studies are needed to further explore the association of FECD and malignancy, elucidate potential disease mechanisms, and identify genetic and/or environmental risk factors.

AbstractBackgroundAutomated wide complex tachycardia (WCT) differentiation into ventricular tachycardia (VT) and supraventricular wide complex tachycardia (SWCT) may be accomplished using novel calculations that quantify the extent of mean electrical vector changes between the WCT and baseline electrocardiogram (ECG). At present, it is unknown whether quantifying mean electrical vector changes within three orthogonal vectorcardiogram (VCG) leads (X, Y, and Z leads) can improve automated VT and SWCT classification.MethodsA derivation cohort of paired WCT and baseline ECGs was used to derive five logistic regression models: (i) one novel WCT differentiation model (i.e., VCG Model), (ii) three previously developed WCT differentiation models (i.e., WCT Formula, VT Prediction Model, and WCT Formula II), and (iii) one “all‐inclusive” model (i.e., Hybrid Model). A separate validation cohort of paired WCT and baseline ECGs was used to trial and compare each model's performance.ResultsThe VCG Model, composed of WCT QRS duration, baseline QRS duration, absolute change in QRS duration, X‐lead QRS amplitude change, Y‐lead QRS amplitude change, and Z‐lead QRS amplitude change, demonstrated effective WCT differentiation (area under the curve [AUC] 0.94) for the derivation cohort. For the validation cohort, the diagnostic performance of the VCG Model (AUC 0.94) was similar to that achieved by the WCT Formula (AUC 0.95), VT Prediction Model (AUC 0.91), WCT Formula II (AUC 0.94), and Hybrid Model (AUC 0.95).ConclusionCustom calculations derived from mathematically synthesized VCG signals may be used to formulate an effective means to differentiate WCTs automatically.