Comparative clinical outcomes between direct oral anticoagulants and warfarin among elderly patients with non-valvular atrial fibrillation in the CMS medicare population.

Atrial fibrillation (AF) prevalence increases with age; > 80% of US adults with AF are aged ≥ 65 years. Compare the risk of stroke/systemic embolism (SE), major bleeding (MB), net clinical outcome (NCO), and major adverse cardiac events (MACE) among elderly non-valvular AF (NVAF) Medicare patients prescribed direct oral anticoagulants (DOACs) VS warfarin. NVAF patients aged ≥ 65 years who initiated DOACs (apixaban, dabigatran, and rivaroxaban) or warfarin were selected from 01JAN2013-31DEC2015 in CMS Medicare data. Propensity score matching was used to balance DOAC and warfarin cohorts. Cox proportional hazards models estimated the risk of stroke/SE, MB, NCO, and MACE. 37,525 apixaban-warfarin, 18,131 dabigatran-warfarin, and 55,359 rivaroxaban-warfarin pairs were included. Compared to warfarin, apixaban (HR: 0.69; 95% CI 0.59-0.81) and rivaroxaban (HR: 0.82; 95% CI 0.73-0.91) had lower risk of stroke/SE, and dabigatran (HR: 0.88; 95% CI 0.72-1.07) had similar risk of stroke/SE. Apixaban (MB: HR: 0.61; 95% CI 0.57-0.67; NCO: HR: 0.64; 95% CI 0.60-0.69) and dabigatran (MB: HR: 0.79; 95% CI 0.71-0.89; NCO: HR: 0.84; 95% CI 0.76-0.93) had lower risk of MB and NCO, and rivaroxaban had higher risk of MB (HR: 1.08; 95% CI 1.02-1.14) and similar risk of NCO (HR: 1.04; 95% CI 0.99-1.09). Compared to warfarin, apixaban had a lower risk for stroke/SE, MB, and NCO; dabigatran had a lower risk of MB and NCO; and rivaroxaban had a lower risk of stroke/SE but higher risk of MB. All DOACs had lower risk of MACE compared to warfarin.

Detecting Atrial Fibrillation in the Emergency Department in Patients with Cardiac Implantable Electronic Devices.

BACKGROUND: Clinical guidelines emphasize identifying atrial fibrillation (AF) as a strategy to reduce stroke risk. Cardiac implantable electronic device (CIED) interrogation at the point of care may facilitate AF detection, increasing opportunities to identify patients at high risk for stroke. OBJECTIVES: This study sought to quantify AF prevalence and assess stroke risk in patients with a CIED who presented to the emergency department (ED). METHODS: This noninterventional, retrospective observational study included adult patients who presented at a single facility ED that incorporated device interrogation as a routine standard practice for all patients with a CIED. Interrogations were conducted in 494 unique patients, and relevant demographic/clinical information was captured from electronic medical records. RESULTS: AF was detected via CIED interrogation in 54.8% (271/494) of the unique patient population that presented to the ED. Device interrogation detected the presence of AF in 110 patients without a documented past history or current diagnosis of AF, representing 22.3% (110/494) of total unique patients. Based on CHA2DS2-VASc (Congestive heart failure, Hypertension, Age > 75 years, Diabetes mellitus, prior Stroke or transient ischemic attack or thromboembolism, Vascular disease, Age 65-74 years, Sex category [female]) risk scoring methodology, over three-quarters of these newly detected AF patients (78.2%, 86/110) were classified in a high stroke risk category that reflected a > 2.2% annualized risk, and over half (57.3%, 63/110) presented to the ED for reasons unrelated to cardiac/dysrhythmia problems. CONCLUSIONS: The use of technology-assisted device interrogation of CIEDs at the point of care has promise in identifying patients with asymptomatic AF. Results suggest consideration of routine device interrogation of CIEDs in the ED, regardless of reason for admission or history of AF.

Mobile App Usage Patterns of Patients Prescribed a Smoking Cessation Medicine: Prospective Observational Study.

BACKGROUND: Cigarette smoking is the leading preventable cause of death and is responsible for more than 480,000 deaths per year in the United States. Smoking cessation is challenging for many patients. Regardless of available treatment options, most quit attempts are unaided, and it takes multiple attempts before a patient is successful. With the ever-increasing use of smartphones, mobile apps hold promise in supporting cessation efforts. This study evaluates the ease of use and user satisfaction with the Pfizer Meds app to support smoking cessation among patients prescribed varenicline (Chantix). OBJECTIVE: Study participants included varenicline users who downloaded and used the app on their personal smartphone. The main objectives were to report mobile app download frequency and usage details and to describe the participant-reported satisfaction with and usefulness of the app over the 14-week follow-up study period. METHODS: Adults aged 18 years or older who had been prescribed varenicline were identified from the Express Scripts Incorporated pharmacy claims database. After meeting privacy restrictions, subjects were sent an invitation letter and second reminder letter with instructions on how to download the Pfizer Meds mobile app. Participants received a push notification to complete a smartphone-enabled survey regarding the utility of the app 12 weeks after downloading the app. Descriptive statistics summarized sociodemographics, use of varenicline, and details of use and satisfaction with the mobile app. RESULTS: Of the 38,129 varenicline users who were sent invitation letters, 1281 participants (3.35%) downloaded the Pfizer Meds app. Of the 1032 users with demographic and other data, 585 (56.68%) were females, and 446 (43.22%) were males; mean age was 46.4 years (SD 10.8). The mean number of app sessions per participant was 4.0 (SD 6.8). The end-of-study survey was completed by 131 survey respondents (10.23%, 131/1281); a large number of participants (117/131, 89.3%) reported being extremely, very, or moderately satisfied with the app. A total of 97 survey respondents (97/131, 74.0%) reported setting up a quit date in the app. Of those, 74 (74/97, 76%) reported quitting on their quit date. CONCLUSIONS: Positive patient engagement was observed in this study based on app download and usage. This study quantified how the Pfizer Meds app performed in an observational real-world data setting. The findings demonstrate the willingness of participants to set a quit date and use the app for support in medication adherence, refill reminders, and information regarding how to take the medication. This study provides real-world evidence of the contribution apps can make to the continued encouragement of smokers to improve their health by smoking cessation.