Hemodynamic changes during venovenous perfusion-induced systemic hyperthermia in patients with advanced malignant tumor
Bibliographic record
Abstract
Objective: To evaluate the hemodynamic changes during extracorporeal venovenous perfusion-induced systemic hyperthermia (VV-PISH) in patients with advanced malignant tumor. Methods: Eighteen ASAⅠ-Ⅱpatients with advanced malignant tumor aged 29-73 years were involved in this study. After general anesthesia, radial artery and right subclavian vein were cannulated for direct MAP and CVP measurement. Swan-Ganz catheter was placed for hemodynamic monitoring.Percutaneous cannulation of both femoral veins for drainage and perfusion allowed extracorporeal flow rate of about 10 ml/(kg·min) through TEMET SYSTEM 1000.After systemic heparinization, VV-PISH began. Hemodynamic parameters were recorded at the different esophageal temperatures during treatment. Norepinephrine or esmolol was used if MAP lowered by more than 30% or HR exceeded 130/min. The amounts of both drugs used were calculated. Results: With the increasing in body temperature, HR, CI, CVP, MPAP, PCWP increased. HR, CI, MPAP, PCWP increased respectively by 55%, 100%, 18% and 49%, and CVP, MAP also changed significantly. At the time of 41℃, 42℃, 42℃1 h, 42℃2 h, 40℃, norepinephrine and esmolol were required. The amounts of both drugs used during 42℃1 h-42℃2 h were much larger than those during 42℃-42℃1 h. With the exception of PCWP which was still high, all the other parameters showed a tendency towards normal at 38℃. Conclusions: VV-PISH induced hemodynamic changes. Norepinephrine and esmolol were required after body temperature reached 41℃. Cardiovascular stability became worse during the period of 42℃1 h-42℃2 h.After the body temperature lowered down to 38℃, PCWP was still higher than normal. The results suggest that special attention should be payed to the selection of patients and appropriate cardiovascular monitoring and treatment are required during VV-PISH.
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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 | 0.001 |
| 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) | 0.000 | 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".