November 11, 2018
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Computerized alert system confers more anticoagulation use, better outcomes in AF

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CHICAGO — An alert-based computerized decision support system for patients with atrial fibrillation was associated with more oral anticoagulant prescriptions and fewer major adverse CV events.

For the AF-ALERT trial, researchers randomly assigned 458 patients hospitalized for AF not already on anticoagulation (mean age, 73 years; 55% men) to receive the alert-based computerized decision support system or usual care.

“In a prior study of hospitalized patients with AF, antithrombotic therapy was omitted in nearly 40% of those at risk,” Gregory Piazza, MD, MS, cardiovascular medicine specialist at Brigham and Women’s Hospital and assistant professor of medicine at Harvard Medical School, said during a presentation at the American Heart Association Scientific Sessions. “Failure to prescribe antithrombotic therapy in these patients resulted in an excess 36% increase in major adverse events, including stroke and myocardial infarction. This low rate of adherence to guideline recommendations for stroke prevention in AF highlights a critical gap in best implementation of clinical practice by providers.”

The support system sends an alert to a clinician with the patient’s CHA2DS2-VASc score and the annual stroke rate associated with that score. The clinician is then prompted to do one of three things: initiate an order for anticoagulation, review the evidence-based practice guidelines or provide a reason for not proceeding with an anticoagulation order. For the latter, the doctor can select the following: bleeding risk too high, stroke risk not high enough, patient is at risk for falls, patient refuses anticoagulation or other.

Piazza noted a similar system demonstrated success for venous thromboembolism prophylaxis.

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An alert-based computerized decision support system for patients with atrial fibrillation was associated with more oral anticoagulant prescriptions and fewer major adverse CV events.
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The primary efficacy endpoint, rate of anticoagulation prescription during hospitalization, at discharge and at 90 days, was 19.4% in the alert group compared with 7.1% in the usual-care group (P < .001).

Patients in the alert group had a lower occurrence of the secondary efficacy endpoint of major adverse CV events at 90 days after enrollment: 11.3% vs. 21.9% (P = .002). MACE was defined as stroke/transient ischemic attack, systemic embolism, MI and all-cause mortality. The HR for freedom from MACE at 90 days was 0.5 (95% CI, 0.31-0.81). Major bleeding or clinically relevant nonmajor bleeding at 90 days, the primary safety outcome of the trial, occurred in 4.4% of the alert group compared with 7.6% of the usual-care group (P = .15). The alert group also had reduced risk for all major adverse events (death, MI, stroke/TIA/systemic embolism or major/clinically relevant nonmajor bleeding) at 90 days (HR = 0.48; 95% CI, 0.31-0.73).

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The cumulative incidence of MI at 90 days was lower in the alert group (Gray’s test P = .0002), as was cumulative incidence of stroke/TIA/systemic embolism at 90 days (Gray’s test P = .01), Piazza said.

After receiving an alert, 35.4% of doctors opened an anticoagulation order set, 0.8% read guidelines and 63.7% declined to open an anticoagulation order set. The most common reason provided for not ordering anticoagulation was bleeding risk (50%), according to the researchers.

The system “reduced major adverse cardiovascular events beyond what we expected to see with the increase of anticoagulation,” Piazza said. “We saw something similar in the trial of VTE prophylaxis. [Computerized decision support] has the potential to be a powerful tool in prevention of cardiovascular events in patients with AF.” – by Erik Swain

Reference:

Piazza G, et al. LBS.03 – Late Breaking Clinical Trial: Harnessing Technology and Improving Systems for Global Health. Presented at: American Heart Association Scientific Sessions; Nov. 10-12, 2018; Chicago.

Disclosures: The trial was investigator-initiated and sponsored by Daiichi Sankyo. Piazza reports he received research grants from Bristol-Myers Squibb, Daiichi Sankyo, EKOS/BTG and Janssen and consulted or served on an advisory board for Bayer and Portola.