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BACKGROUND: Atrial fibrillation (AF) is the most common cardiac rhythm disorder and a risk factor for stroke. Randomized trials have demonstrated that anticoagulation can reduce strokes in AF patients. Yet, widespread underutilization of this therapy continues. To address this practice gap, we designed a study to implement and evaluate the effectiveness of a best practice advisory (BPA) for an Atrial Fibrillation Decision Support Tool (AFDST) embedded within our electronic health record. METHODS: Our intervention is provider-facing, focused on decision support. Clinical setting is ambulatory patients being seen by primary care physicians. We prospectively enrolled 608 patients in our health system who are currently receiving less than optimal anticoagulation therapy as determined by the AFDST and randomized them to one of two arms - 1) usual care, in which the AFDST is available for use; or 2) addition of a BPA to the AFDST notifying clinicians that their patient stands to gain significant benefit from a change in current therapy. Primary outcome was effectiveness of the BPA measured by change to "appropriate thromboprophylaxis" based on the AFDST recommendation at 3 months post-enrollment. Secondary endpoints included Reach and Adoption from the RE-AIM (Reach, Effectiveness, Adoption, Implementation, & Maintenance) framework for implementation studies. RESULTS: Among 562 patients with a minimum follow-up of 3 months, addition of a BPA to the AFDST resulted in significant improvement in anticoagulation therapy, 5 % (12/248) versus 11 % (33/314) p = 0.02, odds ratio 2.31 (95 % CI, 1.17-4.87). CONCLUSIONS: A BPA added to an AF decision support tool improved anticoagulation therapy among AF patients in a primary care academic health system setting.

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There are many well-established relationships between pathogens and human disease, but far fewer when focusing on non-communicable diseases (NCDs). We leverage data from The UK Biobank and TriNetX to perform a systematic survey across 20 pathogens and 426 diseases, focused primarily on NCDs. To this end, we assess the association between disease status and infection history proxies. We identify 206 pathogen-disease pairs that replicate in both cohorts. We replicate many established relationships, including Helicobacter pylori with several gastroenterological diseases, and connections between Epstein-Barr virus with multiple sclerosis and lupus. Overall, our approach identified evidence of association for 15 of the pathogens and 96 distinct diseases, including a currently controversial link between human cytomegalovirus (CMV) and ulcerative colitis (UC). We validate this connection through two orthogonal analyses, revealing increased CMV gene expression in UC patients and enrichment for UC genetic risk signal near human genes that have altered expression upon CMV infection. Collectively, these results form a foundation for future investigations into mechanistic roles played by pathogens in disease.

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BACKGROUND: Atrial fibrillation (AF) is the most common significant cardiac rhythm disorder and is a powerful common risk factor for stroke. Randomized trials have demonstrated that anticoagulation can reduce the risk of stroke in patients with AF. Yet, there continues to be widespread underutilization of this therapy. To address this practice gap locally and improve efforts to reduce the risk of stroke for patients with AF in our health system, we have designed a study to implement and evaluate the effectiveness of an Atrial Fibrillation Decision Support Tool (AFDST) embedded within our electronic health record. METHODS: Our intervention is provider-facing and focused on decision support. The clinical setting is ambulatory patients being seen by primary care physicians. Patients include those with both incident and prevalent AF. This randomized, prospective trial will enroll 800 patients in our University of Cincinnati Health System who are currently receiving less than optimal anticoagulation therapy as determined by the AFDST. Patients will be randomized to one of two arms - 1) usual care, in which the AFDST is available for use; 2) addition of a best practice advisory (BPA) to the AFDST notifying the clinician that their patient stands to gain a significant benefit from a change in their current thromboprophylactic therapy. RESULTS: The primary outcome is effectiveness of the BPA measured by change to "appropriate thromboprophylaxis" based on the AFDST recommendation at 3 months post randomization. Secondary endpoints include Reach and Adoption, from the RE-AIM framework for implementation studies. Sample size is based upon an improvement from inappropriate to appropriate anticoagulation therapy estimated at 4% in the usual care arm and ≥10% in the experimental arm. CONCLUSION: Our goal is to examine whether addition of a BPA to an AFDST focused on primary care physicians in an ambulatory care setting will improve "appropriate thromboprophylaxis" compared with usual care. Results will be examined at 3 months post randomization and at the end of the study to evaluate durability of changes. We expect to complete patient enrollment by the end of June 2022. TRIAL REGISTRATION: Clinicaltrials.gov NCT04099485.

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Study objective: Atrial fibrillation (AF) is the most common cardiac rhythm disorder, responsible for 15 % of strokes in the United States. Studies continue to document underuse of anticoagulation therapy in minority populations and women. Our objective was to compare the proportion of AF patients by race and sex who were receiving non-optimal anticoagulation as determined by an Atrial Fibrillation Decision Support Tool (AFDST). Design setting and participants: Retrospective cohort study including 14,942 patients within University of Cincinnati Health Care system. Data were analyzed between November 18, 2020, and November 20, 2021. Main outcomes and measures: Discordance between current therapy and that recommended by the AFDST. Results: In our two-category analysis 6107 (41 %) received non-optimal anticoagulation therapy, defined as current treatment category ≠ AFDST-recommended treatment category. Non-optimal therapy was highest in Black (42 % [n = 712]) and women (42 % [n = 2668]) and lower in White (39 % [n = 4748]) and male (40 % [n = 3439]) patients. Compared with White patients, unadjusted and adjusted odds ratios of receiving non-optimal anticoagulant therapy for Black patients were 1.13; 95 % CI, 1.02-1.30, p = 0.02; and 1.17; 95%CI, 1.04-1.31, p = 0.01; respectively, and 1.10; 95 % CI 1.03-1.18, p = 0.005; and 1.36; 95 % CI, 1.25-1.47, p < 0.001; for females compared with males. Conclusions and relevance: In patients with atrial fibrillation in the University of Cincinnati Health system, Black race and female sex were independently associated with an increased odds of receiving non-optimal anticoagulant therapy.

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BACKGROUND: Appropriate thromboprophylaxis for patients with atrial fibrillation or atrial flutter (AF) remains a national challenge. METHODS: We hypothesized that a shared decision-making interaction facilitated by an Atrial Fibrillation Shared Decision Making Tool (AFSDM) would improve patient knowledge about atrial fibrillation, and the risks and benefits of various treatment options for stroke prevention; increase satisfaction with the decision-making process; improve the therapeutic alliance between patient and the clinical care team; and increase medication adherence. Using a pre- and post-visit study design, we enrolled 76 patients and completed 2 office visits and 1-month telephone follow-up for 65 patients being seen in our Arrhythmia Clinic over the 1-year period (July 2016 through June 2017). Our primary outcome measure was change in decisional conflict between the first and second clinical visit. RESULTS: Decisional conflict decreased from an average of 31 to 9. Mean change was 22.3 (95% CI, 25.7 - 37.1), corresponding to an effect size of 0.94 standard deviations. Satisfaction with decision increased from 4.0 to 4.5, measures of therapeutic alliance with the care team (Kim Alliance scale) increased from 100.1 to 103.1, and satisfaction with provider increased from 4.2 to 4.5 (P < .0001 for all measures). AF knowledge assessment scores increased from 8.4 to 9.1, and knowledge about personal stroke and bleeding risk increased from 1 to 1.5 (P < .0001). Finally, medication adherence improved as reflected by an increase in the Morisky Medication Adherence scale from 5.9 to 6.4 (P < .0001). CONCLUSIONS: A shared decision-making interaction, facilitated by an AFSDM can significantly improve multiple measures of decision-making quality, leading to improved medication adherence and patient satisfaction.

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BACKGROUND: Appropriate thromboprophylaxis for patients with atrial fibrillation or atrial flutter (AF) remains a national challenge. The recent availability of direct oral anticoagulants (DOACs) with comparable efficacy and improved safety compared with warfarin alters the balance between risk factors for stroke and benefit of anticoagulation. Our objective was to examine the impact of DOACs as an alternative to warfarin on the net benefit of oral anticoagulant therapy (OAT) in a real-world population of AF patients. METHODS: This is a retrospective cohort study of patients with paroxysmal or persistent nonvalvular AF. We updated an Atrial Fibrillation Decision Support Tool (AFDST) to include DOACs as treatment options. The tool generates patient-specific recommendations based upon individual patient risk factor profiles for stroke and major bleeding using quality-adjusted life-years (QALYs) calculated for each treatment strategy by a decision analytic model. The setting included inpatient and ambulatory sites in an academic health center in the midwestern United States. The study involved 5,121 adults with nonvalvular AF seen for any ambulatory visit or inpatient hospitalization over the 1-year period (January through December 2016). Outcome measure was net clinical benefit in QALYs. RESULTS: When DOACs are a therapeutic option, the AFDST recommends OAT for 4,134 (81%) patients and no antithrombotic therapy or aspirin for 489 (9%). A strong recommendation for OAT could not be made in 498 (10%) patients. When warfarin is the only option, OAT is recommended for 3,228 (63%) patients and no antithrombotic therapy or aspirin for 973 (19%). A strong recommendation for OAT could not be made in 920 (18%) patients. In total, 1,508 QALYs could be gained if treatment were changed to that recommended by the AFDST. CONCLUSIONS: Availability of DOACs increases the proportion of patients for whom oral anticoagulation therapy is recommended in a real-world cohort of AF patients and increased projected QALYs by more than 1,500 when all patients are receiving thromboprophylaxis as recommended by the AFDST compared with current treatment.

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BACKGROUND: Appropriate thromboprophylaxis for patients with atrial fibrillation (AF) remains a national challenge. METHODS: We hypothesized that provision of decision support in the form of an Atrial Fibrillation Decision Support Tool (AFDST) would improve thromboprophylaxis for AF patients. We conducted a cluster randomized trial involving 15 primary care practices and 1,493 adults with nonvalvular AF in an integrated health care system between April 2014 and February 2015. Physicians in the intervention group received patient-level treatment recommendations made by the AFDST. Our primary outcome was the proportion of patients with antithrombotic therapy that was discordant from AFDST recommendation. RESULTS: Treatment was discordant in 42% of 801 patients in the intervention group. Physicians reviewed reports for 240 patients. Among these patients, thromboprophylaxis was discordant in 63%, decreasing to 59% 1 year later (P = .02). In nonstratified analyses, changes in discordant care were not significantly different between the intervention group and control groups. In multivariate regression models, assignment to the intervention group resulted in a nonsignificant trend toward decreased discordance (P = .29), and being a patient of a resident physician (P = .02) and a higher HAS-BLED score predicted decreased discordance (P = .03), whereas female gender (P = .01) and a higher CHADSVASc score (P = .10) predicted increased discordance. CONCLUSIONS: Among patients whose physicians reviewed recommendations of the decision support tool discordant therapy decreased significantly over 1 year. However, in nonstratified analyses, the intervention did not result in significant improvements in discordant antithrombotic therapy.

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OBJECTIVES: To assess the appropriateness of oral anticoagulant therapy (OAT) in women and elderly adults, looking for patterns of undertreatment or unnecessary treatment. DESIGN: Retrospective cohort study. SETTING: Primary care practices of an academic healthcare system. PARTICIPANTS: Adults (aged 28-93) with nonvalvular atrial fibrillation (AF) seen between March 2013 and February 2014 (N = 1,585). MEASUREMENTS: Treatment recommendations were made using an AF decision support tool (AFDST) based on projections of quality-adjusted life expectancy calculated using a decision analytical model that integrates individual-specific risk factors for stroke and hemorrhage. RESULTS: Treatment was discordant from AFDST-recommended treatment in 45% (326/725) of women and 39% (338/860) of men (P = .02). Although current treatment was discordant from recommended in 35% (89/258) of participants aged 85 and older and in 43% (575/1,328) of those younger than 85 (P = .01), many undertreated elderly adults were receiving aspirin as the sole antithrombotic agent. CONCLUSION: Physicians should understand that female sex is a significant risk factor for AF-related stroke and incorporate this into decision-making about thromboprophylaxis. Treating older adults with aspirin instead of OAT exposes them to significant risk of bleeding with little to no reduction in AF-related stroke risk.

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BACKGROUND: Guidelines for anticoagulant therapy in patients with atrial fibrillation are based on stroke risk as calculated by either the CHADS2 or the CHA2DS2VASc scores and do not integrate bleeding risk in an explicit, quantitative manner. Our objective was to quantify the net clinical benefit resulting from improved decision making about antithrombotic therapy. METHODS AND RESULTS: This study is a retrospective cohort study of 1876 adults with nonvalvular atrial fibrillation or flutter seen in primary care settings of an integrated healthcare delivery system between December 2012 and January 2014. Projections for quality-adjusted life expectancy reported as quality-adjusted life-years were calculated by a decision analytic model that integrates patient-specific risk factors for stroke and hemorrhage and examines strategies of no antithrombotic therapy, aspirin, or oral anticoagulation with warfarin. Net clinical benefit was defined by the gain or loss in quality-adjusted life expectancy between current treatment and treatment recommended by an Atrial Fibrillation Decision Support Tool. Current treatment was discordant from treatment recommended by the Atrial Fibrillation Decision Support Tool in 931 patients. A clinically significant gain in quality-adjusted life expectancy (defined as ≥0.1 quality-adjusted life-years) was projected in 832 patients. Subgroups were examined. For example, oral anticoagulant therapy was recommended for 188 who currently were receiving no antithrombotic therapy. For the entire cohort, a total of 736 quality-adjusted life-years could be gained were treatment changed to that recommended by the Atrial Fibrillation Decision Support Tool. CONCLUSIONS: Use of a decision support tool that integrates patient-specific stroke and bleeding risk could result in significant gains in quality-adjusted life expectancy for a primary care population of patients with atrial fibrillation.

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As unmanned extraction vehicles become a reality in the military theater, opportunities to augment medical operations with telesurgical robotics become more plausible. This project demonstrated an experimental surgical robot using an unmanned airborne vehicle (UAV) as a network topology. Because battlefield operations are dynamic and geographically challenging, the installation of wireless networks is not a feasible option at this point. However, to utilize telesurgical robotics to assist in the urgent medical care of wounded soldiers, a robust, high bandwidth, low latency network is requisite. For the first time, a mobile surgical robotic system was deployed to an austere environment and surgeons were able to remotely operate the systems wirelessly using a UAV. Two University of Cincinnati surgeons were able to remotely drive the University of Washington's RAVEN robot's end effectors. The network topology demonstrated a highly portable, quickly deployable, bandwidth-sufficient and low latency wireless network required for battlefield use.

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