SOFA is superior to MOD score for the determination of non-neurologic organ dysfunction in patients with severe traumatic brain injury: a cohort study
Bibliographic record
Abstract
OBJECTIVE: To compare the discriminative ability of the SOFA and MOD scoring systems with respect to hospital mortality and unfavorable neurologic outcome in patients with severe traumatic brain injury admitted to intensive care. METHODS: We performed a prospective cohort study at Foothills Medical Centre, the sole adult tertiary care trauma center servicing southern Alberta (population approximately 1.3 million) All patients >or=16 years of age and older with severe traumatic brain injury (sTBI) and intensive care unit length of stay > 48 hours between May 1, 2000 and April 31, 2003 were included. Non-neurologic organ dysfunction was measured by the SOFA and MODS scoring systems. Comparison of the SOFA and MOD score determination of organ dysfunction for each non-neurological organ system was examined by calculating the proportion of patients with SOFA and MOD component score defined organ failure. Consistent with previous literature, organ system failure was defined as a component score >or=3. RESULTS: The odds of death and unfavorable neurologic outcome in patients with SOFA defined cardiovascular failure were 14.7 times (95% CI: 5.9-36.3) and 7.6 times (95% CI 3.5-16.3) respectively, that of those without cardiovascular failure. The development of SOFA defined cardiovascular failure was a reasonable discriminator of hospital mortality and unfavorable neurologic outcome (AuROC=0.75 and 0.73, respectively). The odds of death and unfavorable neurologic outcome in patients with MOD defined cardiovascular failure were 2.6 times (95% CI: 1.24-5.26) and 4.1 times (95% CI 1.3-12.4) respectively, that of those without cardiovascular failure. The development of MOD defined cardiovascular failure was a poor discriminator of hospital mortality and unfavorable neurologic outcome (AuROC=0.57 and 0.59 respectively). Both SOFA and MOD defined respiratory failure were not statistically associated with hospital mortality. CONCLUSIONS: In patients with brain injury, the SOFA scoring system has superior discriminative ability and stronger association with outcome compared to the MOD scoring system with respect to hospital mortality and unfavorable neurologic outcome.
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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 | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 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".