Days Alive and Out of Hospital: Exploring a Patient-Centered, Pragmatic Outcome in a Clinical Trial of Patients With Acute Coronary Syndromes
Bibliographic record
Abstract
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.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.149 | 0.180 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.004 | 0.005 |
| Open science | 0.001 | 0.004 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".