Abstract 239: 911 Caller Description of Seizure-Like Symptoms and Delays to Starting Telecommunicator CPR
Bibliographic record
Abstract
Background: Bystander cardiopulmonary resuscitation (BCPR) improves survival after out-of-hospital cardiac arrest (OHCA). Identifying delays to starting Telecommunicator CPR (TCPR) may improve outcomes. Identifying terms callers use to describe seizure-like symptoms may improve accuracy and expedite TCPR. Methods: A total of 586 confirmed OHCA calls from 3 regional 911 centers in Arizona were reviewed between 2013 to 2016. Frequency of terms callers use to describe seizure-like symptoms were assessed. Demographics and TCPR process measures were compared between the seizure and non-seizure cohorts using Chi-square analysis for categorical variables and Kruskal-Wallis test for continuous variables. Other data points were time to start of seizure description, time to end of description, and time to start of seizure intervention. Results: There were 545 calls after exclusions. Twenty-six (.05%) had seizure-like symptoms described. Of these, “seizure” or “seizing” were used in 22 (84.6%) calls, “shaking” in 6 (23.1%), “cramping up” in 2 (7.7%) and convulsing in 2 (7.7%). Descriptions were more common in witnessed arrests [65.4% (17/26) vs. 34.6% (9/26); p=0.045] and in younger patients [median age=57 (QI=45, Q3=68) vs. 66 (Q1=51, Q3=77); p=0.036.] In calls with descriptions, telecommunicators were less likely to recognize OHCA [56.0% (14/25) vs. 74.5% (382/513), .031% (17/545) missing; (p=0.041] but bystanders were not less likely to start compressions [42.3% (11/26) vs. 57.6% (289/501), .033% (18/545) missing; p=0.122]. Median time to recognition in calls with descriptions was delayed vs. calls without descriptions [142 s (Q1=74 s, Q3=194 s), n=13, vs. 63 s (Q1=40 s, Q3=112 s), n=336; p=0.005], as was time to first chest compression [262 s (Q1=182 s, Q3=291 s), n=6 vs. 154 s (Q1=110 s, Q3=206 s), n=155; p=0.011]. Median times to start of description, end of description, and start of intervention were respectively: 33 s (Q1=20 s, Q3=40 s; 54 s (Q1=37 s, Q3=138 s; and 50 s (Q1=38 s, Q3=162 s). Conclusion: Description of seizure-like symptoms were uncommon and were associated with reduced and delayed OHCA recognition and delayed start of compressions.
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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 | 0.006 |
| 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 | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.011 | 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".