Abstract 86: Association Between Hospital Postresuscitative Performance and Clinical Outcomes in Patients with Out-of-Hospital Cardiac Arrest
Bibliographic record
Abstract
Context: Whilst performance measures have been extensively evaluated in conditions such as myocardial infarction, it remains unclear if adherence to post-resuscitation guidelines is associated with better outcome in patients hospitalized after out-of-hospital cardiac arrest (OHCA). Objectives: To assess whether survival and good functional status at discharge are associated with post-resuscitation performance score based on treatment guidelines for patients with OHCA, comprised of a) initiation of temperature management; b) target temperature 32 0 -34 0 C achieved; c) temperature management continued for more than 12 hours; d) coronary angiography performed within 24 hrs; e) life sustaining treatment not withdrawn prior to day 3. Methods: An observational analysis of hospital care in 111 North American hospitals, including 3252 patients enrolled in the Resuscitation Outcomes Consortium (ROC-PRIMED) study, between 2007 and 2009, following OHCA. Performance scores were calculated, utilizing opportunity based scoring, with each factor weighted equally and scaled from 0-1. Scores for individual patients were grouped at the hospital level, with hospitals divided for descriptive purposes into quartiles based on their median opportunity composite score. Results: Performance score varied widely (median [IQR] scores from lowest to highest hospital quartiles, 21% [20%-25%] vs 59% [55%-64%]. Adjusted survival to discharge increased with each quartile of performance score (lowest to highest: 16.2%, 20.8%, 28.5%, 34.8%, P <0.01). Similarly adjusted rates of good functional outcome improved (lowest quartile to highest: 8.3%, 13.8%, 22.2%, 25.9%, P<0.01). Hospital performance score were significantly associated with outcome after risk adjustment for established prehospital resuscitative factors (Highest versus lowest adherence quartile: adjusted OR of survival 1.64; 95% CI 1.13, 2.38) Conclusions: Increased survival and improved functional status at discharge are associated with greater adherence to recommended hospital based post-resuscitative care guidelines. Measuring, reporting and improving hospital adherence to guideline-based performance metrics could improve outcomes following OHCA.
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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 | 0.003 |
| 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 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".