Vacuum-assisted venous drainage does not increase the neurological risk.
Bibliographic record
Abstract
BACKGROUND: Vacuum-assisted venous drainage (VAVD) with negative pressure applied to integral sealed-hardshell venous reservoir facilitates valvular surgery through minimally invasive approaches. Despite concerns regarding air entrainment from the right atrium, cerebral microemboli of air and neurological complications, VAVD was used in patients who underwent valvular surgery throughout the last two years in our institution. METHODS: We compared the rate of neurological complications in patients who underwent surgery with and without VAVD from June 1997 to July 2001. VAVD was added to solid venous reservoirs with membrane oxygenators and arterial filters. Clinical results were prospectively entered in our valve database and were used for the analysis. RESULTS: Eight hundred twenty-two consecutive patients averaging 65 +/- 11 years of age underwent aortic, mitral and tricuspid valve replacements including 40 redos (40/822, 5%) and 265 associated CABG (265/822, 32%) with VAVD in 1999 to 2001 compared to 723 patients averaging 63 +/- 11 years of age (p = 0.01) who underwent the same procedures with 79 redos (79/723, 11%) and 177 CABG (177/723, 24%) without VAVD in 1997 to 1999. CPB time averaged 117 +/- 50 minutes in VAVD patients compared to 108 +/- 43 minutes in those without VAVD (p = 0.001). Thirty-day mortality averaged 5% (39/822) in patients with VAVD and 4% (30/723) in those without VAVD (p = 0.6). Seven patients of the VAVD group (7/822, 1%) and 11 patients without VAVD (11/723, 1.5%, p = 0.2) suffered from temporary or permanent neurological deficit. CONCLUSION: VAVD is a useful adjunct to modern cardiopulmonary bypass systems. When used with appropriate care, VAVD does not appear to significantly increase air microemboli and is not associated with an increased neurological risk following valvular surgery.
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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 | 0.007 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".