Baseline characteristics of patients with and without hypercoaguable sepsis and the effect of afelimomab on mortality: a post hoc analysis from the MONARCS trial
Bibliographic record
Abstract
A post hoc analysis identified patients with a hypercoaguable state in the overall population enrolled in a large placebo-controlled sepsis trial investigating the safety and efficacy of afelimomab. A hypercoaguable state was defined by (1) platelet count below 140,000 per μl plus (2) D-dimer > 250 ng/ml. Patients were randomized to receive placebo or afelimomab. A total of 2634 patients were enrolled, and 1313 (49.8%) had baseline determinations of both platelets and D-dimer. The table describes the baseline characteristics of the two patient groups. Compared to those without laboratory evidence of consumption coagulopathy, patients with a hypercoagulable state had higher organ dysfunction scores, higher interleukin-6 levels and higher frequencies of positive blood cultures. Among the patients with evidence of consumption coagulopathy, 283 were treated with placebo and 311 with afelimomab. Mortality at 28 days was 43.8% vs 38.6% in placebo and afelimomab patients, respectively. In patients not meeting the definition of hypercoaguability, 376 and 343 received placebo and afelimomab; mortality was 35.9% and 26.5%, respectively. Septic patients with evidence of consumption coagulopathy had more organ dysfunction and a higher rate of positive blood cultures. Afelimomab appears to be beneficial in reducing the mortality of septic patients with a hypercoaguable state.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 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".