Real-world treatment patterns of OTX-101 ophthalmic solution, cyclosporine ophthalmic emulsion, and lifitegrast ophthalmic solution in patients with dry eye disease: a retrospective analysis

Abstract Background Dry eye disease (DED) is a disorder characterized by loss of tear film homeostasis that causes ocular surface inflammation and damage. The incidence of DED increases with age. Cyclosporine ophthalmic solution 0.09% (CEQUA®; OTX-101), cyclosporine ophthalmic emulsion 0.05% (Restasis®; CsA), and lifitegrast ophthalmic solution 5% (Xiidra®; LFT) are anti-inflammatory agents indicated for DED. This analysis compared treatment patterns in patients with DED receiving OTX-101, CsA, or LFT. Methods This real-world, retrospective, longitudinal cohort study utilized Symphony Health Integrated Dataverse claims from July 2019 to June 2021. The dataset included all patients with OTX-101 claims and patients with CsA or LFT claims randomly selected 2:1 to OTX-101. Patients were sorted into 3 cohorts based on index treatment. Index date was that of first treatment claim, and follow-up period was from index date to end of clinical activity or data availability. Time to treatment discontinuation (TTD), probability of discontinuation, and treatment persistence were assessed for OTX-101 vs. CsA, then OTX-101 vs. LFT. Subgroup analysis was performed based on age and prior DED treatment. Kaplan-Meier analysis and log-rank test were used to examine TTD. A logistic model evaluated association between index treatment and discontinuation. Unadjusted and adjusted odds ratios, 95% confidence intervals, and P-values were reported, with statistically significant associations based on P-values < 0.05. Results Overall, 7102 patients (OTX-101 n = 1846; CsA n = 2248; LFT n = 3008) were eligible. Median TTD was 354 days for patients receiving OTX-101 vs. 241 days for CsA and 269 days for LFT. Log-rank test indicated TTD was significantly longer for patients on OTX-101 vs. CsA (P = 0.033). Patients on CsA were 35% more likely to discontinue treatment than patients on OTX-101; OTX-101 and LFT groups had similar discontinuation rates. After 360 days, 49.8% of patients receiving OTX-101 remained on treatment vs. 39.4% of patients on CsA (P = 0.036) and 44.0% of patients on LFT (P = 0.854). Conclusions Patients receiving OTX-101 remained on treatment significantly longer and were significantly less likely to discontinue treatment than patients on CsA. Older patients remained on OTX-101 significantly longer than CsA. These findings highlight treatment pattern differences in patients with DED receiving these anti-inflammatory agents

Patient-centric assessment of rheumatoid arthritis using a smartwatch and bespoke mobile app in a clinical setting

Abstract Rheumatoid arthritis (RA) is a fluctuating progressive disease requiring frequent symptom assessment for appropriate management. Continuous tracking using digital technologies may provide greater insights of a patient’s experience. This prospective study assessed the feasibility, reliability, and clinical utility of using novel digital technologies to remotely monitor participants with RA. Participants with moderate to severe RA and non-RA controls were monitored continuously for 14 days using an iPhone with an integrated bespoke application and an Apple Watch. Participants completed patient-reported outcome measures and objective guided tests designed to assess disease-related impact on physical function. The study was completed by 28 participants with RA, 28 matched controls, and 2 unmatched controls. Completion rates for all assessments were > 97% and were reproducible over time. Several guided tests distinguished between RA and control cohorts (e.g., mean lie-to-stand time [seconds]: RA: 4.77, control: 3.25; P < 0.001). Participants with RA reporting greater stiffness, pain, and fatigue had worse guided test performances (e.g., wrist movement [P < 0.001] and sit-to-stand transition time [P = 0.009]) compared with those reporting lower stiffness, pain, and fatigue. This study demonstrates that digital technologies can be used in a well-controlled, remote clinical setting to assess the daily impact of RA