Abstract 18273: Frailty and Mortality in Older Patients With Acute Myocardial Infarction: Observations From the NCDR ACTION Registry-GWTG
Bibliographic record
Abstract
Introduction: Little is known about the prevalence and prognostic impact of patient (pt) frailty on in-hospital mortality in the setting of acute MI, or the optimal way to assess frailty in this setting. Methods: We examined the relationship between frailty and outcomes in acute MI pts ≥65 years from January 1, 2015 to December 31, 2016 in ACTION Registry-GWTG. Three spheres of pre-hospital function (cognition, ambulation, and functional independence) were assessed, and findings were summed in two new ways: (1) ACTION Frailty Scale based on responses to six groups adapted from the Canadian Study of Health and Aging Clinical Frailty Scale; (2) ACTION Frailty Score derived by summing a rank score of 0-2 assigned for each grade (range 0-6). Associations between frailty status and all-cause mortality were estimated using multivariable logistic regression. Results: Among 143,722 acute MI pts at 778 hospitals, 108,059 (75.2%) were fit/well and 6,484 (4.5%) were vulnerable to frailty, while 7,527 (5.2%) had mild...
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| 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) | 0.001 | 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".