Does Higher Temperature During Moderate Hypothermic Circulatory Arrest Increase the Risk of Paraplegia in Acute DeBakey I Aortic Dissection Patients?
Bibliographic record
Abstract
BACKGROUND: In this study, we sought to assess the safety of high-moderate (24.1-28.0°C) and low-moderate (20.1-24.0°C) systemic hypothermia during circulatory arrest (MHCA) in patients with acute DeBakey I aortic dissection (DeBakey I AAD), particularly concerning spinal cord protection. METHODS: From 2009 to 2020, 1759 patients with DeBakey I AAD who underwent frozen elephant trunk and total arch replacement surgery at a tertiary centre were divided into preoperative malperfusion (viscera, spinal cord, or lower extremities) and nonmalperfusion subgroups. The baseline differences were balanced with the use of propensity score matching. Prognoses were compared between those who were subjected to high-MHCA (nasopharyngeal temperature 24.1-28.0°C) and low-MHCA (nasopharyngeal temperature 20.1-24.0°C). RESULTS: In the nonmalperfusion subgroup (n = 1389), 469 pairs of matched patients showed lower in-hospital mortality and incidence of acute kidney injury in the high-MHCA group than in the low-MHCA group: in-hospital mortality 7.0% vs 10.2% (P = 0.01); acute kidney injury, 57.1% vs 64.6% (P < 0.01). The duration of mechanical ventilation was shorter in the high-MHCA group than that in the low-MHCA group (P = 0.03). No significant difference in the incidence of paraplegia was observed between the 2 groups. In the malperfusion subgroup (n = 370), 112 pairs of matched patients showed a higher incidence of paraplegia in the high-MHCA group than in the low-MHCA group (15.9% vs 6.5%; P = 0.04). CONCLUSIONS: The safety of high-MHCA, a commonly used temperature management strategy during aortic arch surgery, was recognised in most patients with DeBakey I AAD. However, among patients with preoperative distal organ malperfusion, low-MHCA may be more appropriate owing to an increased risk of postoperative paraplegia associated with high-MHCA.
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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 | 0.000 | 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".