Days Alive and Out of Hospital: Exploring a Patient-Centered, Pragmatic Outcome in a Clinical Trial of Patients With Acute Coronary Syndromes.

Background Cardiovascular clinical trials have traditionally incorporated separate time-to-first-event analyses for their primary efficacy and safety comparisons, but this framework has a number of limitations, including limited patient-centeredness and a traditional requirement for central adjudication. Days alive and out of the hospital (DAOH) has the potential to provide additional insight. Methods and Results TRILOGY ACS (Targeted Platelet Inhibition to Clarify the Optimal Strategy to Medically Manage Acute Coronary Syndromes) was a randomized, multinational clinical trial that compared the effect of prasugrel versus clopidogrel in patients stabilized after non-ST segment elevation acute coronary syndrome treated without revascularization; the trial had a neutral result. DAOH was calculated for each patient using site-submitted adverse event reporting data. We described patterns of DAOH overall, and among younger adults (<75 years old), older adults (≥75 years old), and frail/prefrail patients over 12 months follow-up and used Poisson regression to compare DAOH for patients randomized to prasugrel versus clopidogrel. Of 9249 patients in the overall trial population, 500 (5.4%) died, and 2504 (27.1%) were hospitalized 4150 times over 12 months' follow-up; the mean±SD DAOH was 317±86. The distribution of DAOH over 12 months was left-skewed, with median DAOH 363 days. Among younger adults, older adults, and frail/prefrail patients, mean DAOH were 323, 293, and 304 days, respectively. There were no differences in DAOH by treatment arm in the overall population (rate ratio, 1.00; 95% CI, 0.99-1.01) or any subgroup. Conclusions These results support the feasibility of determining DAOH, a patient-centered outcome that can potentially overcome many of the disadvantages of the traditional time-to-composite-event framework in the clinical trial setting. Clinical Trial Registration URL: https://www.clinicaltrials.gov. Unique identifier: NCT00699998.

Duke Scholars

Author Megan Lee Neely Biostatistics & Bioinformatics, Division of Biostatistics

Author Paul Wayne Armstrong Medicine, Cardiology

Author Renato Delascio Lopes Medicine, Cardiology

Author Erik Magnus Ohman Medicine, Cardiology

Author Matthew Todd Roe Medicine, Cardiology