Design and conduct of the activated protein C and corticosteroids for human septic shock (APROCCHSS) trial
Bibliographic record
Abstract
BACKGROUND: We aimed at assessing the benefit-to-risk ratio of activated protein C (drotrecogin-alfa activated, DAA) and corticosteroids, given alone or in combination, in patients with septic shock. METHODS: We implemented an investigator-led, publicly funded, multicenter, randomized according to a 2 × 2 factorial design, placebo-controlled, double-blind trial in four parallel groups in which adults with persistent septic shock and no contraindication to DAA were assigned to either DAA alone (24 mg/kg/h for 96 h), or hydrocortisone (50 mg intravenous bolus q6 for 7 days) and fludrocortisone (50 µg once daily through the nasogastric tube for 7 days) alone, or their respective combinations, or their respective placebos. Primary endpoint was 90-day mortality rate. Follow-up duration was 6 months. Statistical analysis was planned to be performed in intent-to-treat once after all participants completed 180-day follow-up and according to the 2 × 2 factorial design. RESULTS: The first patient was recruited in September 2008. The trial was suspended on October 25, 2011, owing to the withdrawal from the market of DAA. At this time, 411 patients had been enrolled. On May 17, 2012, the continuation of the trial on two parallel groups was approved by all legal authorities with the aim of investigating the benefit-to-risk ratio of corticosteroids. On June 30, 2014, the trial was suspended again by the study sponsor upon request of the independent data and safety monitoring board. Recruitment restarted on October 7, 2014, after any safety concern was ruled out. Finally, the trial was completed on June 23, 2015, with the recruitment of 1241 patients. CONCLUSIONS: This report details the design, statistical plan and conduct of a randomized controlled trial of hydrocortisone and fludrocortisone in septic shock. Trial registration The trial was registered at ClinicalTrials.gov under NCT00625209.
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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 | 0.007 | 0.004 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".