The appropriateness of the pulmonary artery catheter in cardiovascular surgery
Bibliographic record
Abstract
PURPOSE: The pulmonary artery catheter (PAC) is commonly used in anesthesiology and critical care, but its appropriate (where benefit exceeds risk) application is unknown. This study describes current clinical practice attitudes among anesthesiologists in cardiac and vascular surgery in an effort to determine the most appropriate indications for use of the PAC. METHODS: Anonymous, cross-sectional, mailed survey of anesthesiologists in Canada and the USA. Opinions of anesthesiologists about the appropriateness of PAC application were assessed in 36 clinical scenarios, using a nine-point Likert scale. The RAND method was adapted to identify appropriate, inappropriate, and uncertain indications for PAC application. RESULTS: Seventy-seven percent of 345 anesthesiologists responded. They agreed strongly (87%) that use of the PAC is appropriate in patients with severe ventricular impairment and unstable angina. Agreement was also present with ventricular impairment (74%) or unstable angina (55%) alone, but was less strong. A majority (53%) rated the PAC as not appropriate in the routine patient without complicating risk factors. Those who used the PAC more frequently, who had a greater practice volume, and who practised in Canada rated PAC use to be more appropriate in more scenarios. Those who did more continuing medical education rated PAC use to be less appropriate. CONCLUSIONS: While the ideal evaluation of the PAC in clinical practice would be a randomized controlled trial, such an undertaking is time-consuming, expensive, of limited generalizability, and requires clinical equipoise. This study found strong agreement that PAC application is appropriate in some patient scenarios, and agreement that it is inappropriate in others. Description of current practice using this method may identify scenarios where randomized evaluation of the PAC, or other technologies, is likely unnecessary, and others where it is highly likely to be highly beneficial.
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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 | 0.009 | 0.071 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 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".