Effect of transcutaneous neuromodulation on predictive parameters of extubation failure in severe acute pancreatitis: A case report
Bibliographic record
Abstract
<b>Background:</b> Complications of pancreatitis can lead to admission to the intensive care unit (ICU) with invasive mechanical ventilation. Reducing the duration of mechanical ventilation is challenging for critical care practitioners. Respiratory muscle weakness hinders the weaning process, thereby increasing the duration of mechanical ventilation and hindering pulmonary rehabilitation.<br /> <b>Methods: </b>We evaluated the effect of transcutaneous neuromodulation on predictors of extubation failure. The patient was a 51-year-old male with a history of type 2 diabetes, obesity (body mass index=35), and regular alcohol consumption of 40 g/day. The patient was admitted to ICU with a diagnosis of severe acute pancreatitis and multi-organ failure. Maximum inspiratory pressure (MIP), airway occlusion pressure at 100 ms (P0.1), rapid shallow breathing index (RSBI), and diaphragmatic thickening fraction (DTf) were measured.<br /> <b>Results:</b> The results demonstrated an improvement in all the parameters. Show an increase in MIP from -18 cmH2O to -37 cmH2O and a reduction in P0.1 from -5.7 cmH2O to -3.1 cmH2O. RSBI decreased from 107 to 72, and DTf increased from 20% to 35%. The patient was extubated successfully and discharged to the ward after a 28-day ICU stay.<br /> <b>Conclusions:</b> The application of transcutaneous neuromodulation led to an improvement in the predictive parameters of extubation failure in patients with severe acute pancreatitis, which was ultimately confirmed by ventilatory support not being required after extubation. Transcutaneous neuromodulation application helps improve respiratory parameters and systemic improvement of the patient until he is released from ICU. Transcutaneous neuromodulation should be used in combination with other physiotherapy techniques and should be included in a comprehensive rehabilitation protocol rather than as an isolated therapy.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.001 |
| 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 teacher head, 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".