Crystalloid resuscitation in trauma patients: deleterious effect of 5L or more in the first 24h
Bibliographic record
Abstract
BACKGROUND: Over-aggressive intravenous fluid therapy with crystalloids has adverse effects in trauma patients. We assessed the role of large-volume (≥5l) administration of crystalloids within 24h of injury as an independent risk-factor for mortality, in-hospital complications, and prolonged mechanical ventilation. METHODS: A retrospective cohort analysis of adult trauma patients admitted to a level 1-trauma center between December 2011 and December 2012. Patient demographics, clinical and laboratory values, and total resuscitation fluid administered within the first 24h of injury were obtained. Outcomes included mortality, in-hospital complications and ventilator-days. Multivariable logistic regression and Poisson regression analyses were performed to investigate any association between the administration of ≥5L crystalloids with the aforementioned outcomes while controlling for selected clinical variables. RESULTS: A total of 970 patients were included in the analysis. 264 (27%) received ≥5L of crystalloids in the first 24h of injury. 118 (12%) had in-hospital complications and 337 (35%) required mechanical ventilation. The median age was 46 years (interquartile range (IQR) 27-65) years and 73% (n = 708) were males. The median injury severity score (ISS) was 17 (IQR 9-25). Overall mortality rate was 7% (n = 67). Multivariable logistic regression analysis showed several variables independently associated with mortality (p < 0.05), including resuscitation with ≥5L crystalloid in the first 24h (adjusted odds ratio (aOR) 2.55), older age (aOR 1.03), higher ISS (aOR 1.09), and lower temperature (aOR 0.68). The variables independently associated with in-hospital complications (p < 0.05) were older age, longer ICU stay, and platelet transfusion within 24h of the injury. Need for mechanical ventilation was more common in patients who received ≥5L crystalloids (RR 2.31) had higher ISS (RR 1.02), developed in-hospital complications (RR 1.91) and had lower presenting temperature (RR 0.87). CONCLUSION: Large-volume crystalloid resuscitation is associated with increased mortality and longer time ventilated, but not with in-hospital complications such as pneumonia and sepsis. Based on this data, we recommend judicious use of crystalloids in the resuscitation of trauma patients.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".