Assessment of the safety and feasibility of administering anti-pyretic therapy in critically ill adults: study protocol of a randomized trial
Bibliographic record
Abstract
BACKGROUND: Fever is one of the most commonly observed abnormal signs in patients with critical illness. However, there is a paucity of evidence to guide the management of febrile patients without acute brain injury and little is known about the biologic response to treatment of fever. As such, observational studies suggest that the treatment of fever is inconsistent. This pilot clinical trial will assess the safety and feasibility of treating febrile critically ill adult patients with an aggressive versus a permissive temperature control strategy. The biologic response to these two different temperature control strategies will also be assessed through analysis of a panel of inflammatory mediators. FINDINGS: The study population will include febrile adult patients admitted to one of two general medical-surgical intensive care units (ICUs) in Calgary, Alberta, Canada. Patients will be randomized to either an aggressive or permissive fever treatment strategy. The aggressive group will receive acetaminophen 650 mg enterally every 6 hours upon reaching a temperature ≥ 38.3 °C and external cooling will be initiated for temperatures ≥ 39.5 °C, whereas the permissive group will receive acetaminophen 650 mg every 6 hours upon reaching a temperature ≥ 40.0 °C and external cooling for temperatures ≥ 40.5 °C. The study will take place over 12 months with the goal of enrolling 120 patients. The primary outcome will be 28-day mortality after study enrolment, with secondary outcomes that will include markers of feasibility (e.g. the enrolment rate, and the number of protocol violations), and levels of select inflammatory and anti-inflammatory mediators. DISCUSSION: Results from this study will lead to a better understanding of the inflammatory effects of anti-pyretic therapy and will evaluate the feasibility of a future clinical trial to establish the best treatment of fever observed in nearly one half of patients admitted to adult ICUs. TRIAL REGISTRATION: ClinicalTrials.gov: NCT01173367.
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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 | 0.061 | 0.060 |
| Meta-epidemiology (narrow) | 0.007 | 0.003 |
| Meta-epidemiology (broad) | 0.010 | 0.007 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.003 | 0.005 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.004 | 0.002 |
| Research integrity | 0.009 | 0.008 |
| Insufficient payload (model declined to judge) | 0.035 | 0.008 |
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".