Effect of Troponin I Elevation on Duration of Mechanical Ventilation and Length of Intensive Care Unit Stay in Patients With Sepsis
Bibliographic record
Abstract
BACKGROUND: Sepsis is a leading cause of mortality and morbidity. Recent studies suggest that troponin elevation is associated with increased mortality in sepsis patients. The purpose of this study is to determine the effect of troponin elevation on mechanical ventilation duration and intensive care unit (ICU) length of stay in patients with sepsis. Additionally, we investigated the association between troponin elevation and septic shock. METHODS: The study is a retrospective observational cohort study, conducted in a community teaching hospital between October 2015 and April 2018. All adult ICU patients with sepsis who required invasive mechanical ventilation were included. Primary outcomes were mechanical ventilation duration and ICU length of stay. Secondary outcomes were hospital length of stay, in-hospital mortality and association with septic shock. RESULTS: A total of 125 patients were included. Troponin was elevated in 36% (45/125) of the patients. Duration of mechanical ventilation in hours was longer for troponin-positive group (troponin positive: 55.6 h vs. troponin negative: 49.6 h, 95% CI 0.001 - 0.063, P = 0.032). ICU length of stay was similar (troponin positive: 4.6 days vs. troponin negative: 4.3 days, 95% CI 0.130 - 0.270). Septic shock had higher occurrence in elevated troponin group (troponin positive: 62.2% (28/45) vs. troponin negative: 43.8% (35/80), risk ratio (RR) 1.4, P = 0.04, 95% CI 1.015 - 1.99). CONCLUSIONS: Troponin elevation was associated with longer duration of mechanical ventilation in patients admitted to ICU with sepsis. Troponin elevation was associated with higher risk for development of septic shock. No significant effect was observed in ICU length of stay and hospital length of stay.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".