Abstract 13835: Accuracy of Prehospital Documentation of Hypoxia Compared to Continuous Non-Invasive Monitor Data Tracking in Major Traumatic Brain Injury
Bibliographic record
Abstract
Background: It is well established that prehospital hypoxia dramatically increases mortality in Traumatic Brain Injury (TBI). Thus, in EMS TBI research, case ascertainment and risk-adjustment are highly dependent upon documentation of in-field O 2 saturation. Objective: To compare the rate of hypoxia identified by EMS personnel and documented in EMS patient care records (PCR) vs the actual rate of hypoxia recorded by continuous, non-invasive monitor in TBI. Methods: A subset of major TBI cases (moderate/severe) in the EPIC EMS TBI Study (NIH 1R01NS071049) were evaluated (3/30/13-6/26/15). Cases from 4 EMS agencies that report continuous monitor data (Philips MRx™) as part of EPIC were included. All monitor data available for post-hoc review were displayed and accessible to the providers during EMS care. We compared PCR documentation of hypoxia (O 2 sat <90%) to actual recorded monitor data on each patient (Fisher’s Exact Test; α=0.05). Results: 77 cases were included [median age: 52; 65% male]. The monitors displayed and recorded 16 hypoxic cases (20.8%), but only 6 (37.5%) were documented. Thus, while the rate of actual hypoxia was 20.8%, the case ascertainment was only 7.8% (6/77) when PCR documentation alone was used (p=0.036). Conclusion: Among patients with major TBI, monitor-identified hypoxia occurred much more frequently (20.8%) than was documented (7.8%). Only 37.5% of cases with actual hypoxia were recorded in the PCRs. This may be explained, in part, by the fact that pulse oximetry occurs continuously. Thus, ongoing care responsibilities and scene distractions may cause providers to miss low readings as they fluctuate moment-by-moment. This has significant clinical implications as a potential hidden contributor to poor outcomes if hypoxia goes unrecognized (and untreated) rather than simply not being documented. Furthermore, these findings have important implications for case ascertainment, confounding, and risk-adjustment in EMS TBI studies. Whenever possible, quality improvement and research projects should utilize continuous non-invasive monitor data to identify and evaluate hypoxic patients in the setting of TBI. These findings may also have implications for identifying hypoxia in EMS patients with other critical conditions.
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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 | 0.007 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".