Visible angiographic complications predict short and long‐term outcomes in patients with post‐procedural creatine‐phosphokinase elevation
Bibliographic record
Abstract
OBJECTIVES: To assess whether visible angiographic complication is related to outcome in patients with elevated creatine phosphokinase (CK-MB) following percutaneous coronary intervention (PCI). BACKGROUND: Elevated biomarkers following PCI are associated with increased incidence of adverse events but the absolute risk of such events is low. A more specific marker of risk is needed. METHODS: Consecutive patients with elevated post-PCI CK-MB were divided into two groups according to presence (n = 115, 43%) or absence (n = 150, 57%) of an angiographic complication. A control group (n = 250) was randomly chosen from 2,403 patients undergoing PCI during the same period without CK-MB elevation. Major adverse cardiac events (MACE) were assessed at 30 days and 1 year. RESULTS: Patients with an identifiable angiographic complication and elevated postprocedural CK-MB had significantly worse outcomes at 30 days and 1 year compared with biomarker positive patients without an identifiable complication and control patients (30 day MACE rate: 8% vs 0% vs 0.4%, respectively, p < 0.001; 1 year MACE rate: 26% vs 11% vs 11%, respectively, p = 0.002, all p-values for angiographic complication vs no angiographic complication and for angiographic complication vs control). Biomarker positive patients without identifiable angiographic complication had an excellent short and long term outcome, which was no different from biomarker negative patients (1 year MACE rate: 11% vs 11%, p = 0.53). CONCLUSION: Post-PCI patients without visible angiographic complications have an excellent short and long term outcome. These findings call into question the need for routine CK-MB monitoring after PCI in the absence of clinical symptoms or angiographic complication.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".