Variation in practice and concordance with guideline criteria for length of stay after elective percutaneous coronary intervention
Bibliographic record
Abstract
BACKGROUND: Considerable variability remains as regards the appropriate and safe length of stay after elective PCI. We performed a survey of interventional cardiologists to identify current views on appropriate and safe length of stay after PCI. METHODS: We created an online survey using the commercially available SurveyMonkey application. This was sent to interventional cardiologists in the US, Canada and the UK with the assistance of the national interventional cardiology societies (SCAI, CAIC/CCS, BCIS/BCS) as well as being made available on the theheart.org website. RESULTS: 505 interventional cardiologists responded, of which 237 were practicing in the US. Of those from the US, 52% were not aware of any guidelines for length of stay and 48% reported that their unit did not have a standard practice for length of stay. Same-day discharge after PCI was practiced as routine by 14% of cardiologists in the US versus 32% of cardiologists from Canada (P = 0.003) and 57% (P < 0.0001) from the UK. Amongst respondents, there was significant variation between respondents and divergence from published SCAI guidelines regarding appropriate length of stay for patient specific and procedural related clinical factors. CONCLUSIONS: There is considerable variation in practice patterns regarding length of stay after PCI. Whilst most cardiologists practice overnight observation, a significant minority utilize same-day discharge. There is also lack of familiarity with published guidelines. This variation and knowledge gap confirms an urgent need for updated guidelines and a concerted effort to educate cardiologists on appropriate post-PCI length of stay. © 2017 Wiley Periodicals, Inc.
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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 | 0.008 | 0.045 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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".