Intermittent upper and lower body perfusion during circulatory arrest is safe for aortic repair
Bibliographic record
Abstract
INTRODUCTION: We report our initial surgical experience of intermittent upper and lower body retrograde perfusion during aortic repair under circulatory arrest. METHODS: Between 2007 and 2015, 148 consecutive patients underwent surgical aortic repair using moderate hypothermic circulatory arrest with intermittent upper and lower body retrograde perfusion. RESULTS: All patients underwent ascending aorta replacement; eight had hemiarch replacement (5.4%) and 92 had aortic root surgery (62.2%). Twenty-nine patients (19.6%) had re-operations and 60 patients (40.5%) had concomitant procedures. The mean duration of circulatory arrest was 23.2 ± 5.4 minutes (range 13-48 minutes). Hospital length of stay was 11.3 ± 16.9 days (median 7.0 days; interquartile range [IQR] 6 days). Complications included death in 0.7%, stroke in 3.4%, respiratory failure in 12.8%, renal replacement therapy in 2.0% and re-exploration for bleeding in 0.7%. Peak renal and hepatic biomarkers were: creatinine 1.2 ± 0.3 mg/dL, aspartate aminotransferase (AST) 291 ± 1112 U/L (IQR 91.8 U/L), alanine aminotransferase (ALT) 212 ± 924 U/L (IQR 43.0 U/L) and total bilirubin 1.2 ± 0.9 mg/dL. Peak lactate was 5.0 ± 3.3 mmol/L (IQR 3.3 mmol/L) and the mean time to normalization (<2 mmol/L) was 14.3 ± 14.0 hours. CONCLUSIONS: Intermittent upper and lower body retrograde perfusion during circulatory arrest is safe for aortic repair, resulting in low morbidity and mortality. There were only modest rises in hepatic and renal injury biomarkers as well as the rapid clearance of lactate. These findings support the continued study of this technique to reduce end-organ dysfunction during circulatory arrest, including expansion to patients with longer circulatory arrest duration and a direct comparison with conventional circulatory arrest without retrograde upper and lower body perfusion.
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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 | 0.002 |
| 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 | 0.001 |
| Research integrity | 0.000 | 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".