Morphofunctional State of the Small Intestine in the Acute Period of Spinal Injury: Early Microcirculation Disorders and Ways of their Correction (Experimental Study)
Bibliographic record
Abstract
Introduction . One of the important systems that requires close attention in patients with traumatic spinal cord disease (TSCD) is the gastrointestinal tract. The development of spinal shock leads to a sharp drop in blood pressure, to disruption of splanchnic blood circulation and, as a consequence, to ischemic damage to the intestine, its paresis, disruption of nutrient absorption, and cachexia. Active intraintestinal therapy can improve the treatment results of such patients. Objective . In the experiment, to determine changes in the intramural blood supply to the small intestinal wall in the acute period of traumatic damage to the spinal cord and the e ffect of increased intraintestinal pressure on it. Materials and methods . The experimental study was performed on male rats weighing 215–315 g (n=20), with spinal cord injury modeled. The intramural vascular bed of the small intestine was monitored using optical coherence angiography (OCA): at the first stage of the experiment — before modeling the injury, after 3 hours and after 24 hours; at the second stage of the experiment, 24 hours after the injury and then with the injection of physiological solution (0.9% NaCl) into the intestinal lumen at different pressures. Results . Spinal cord injury results in a decrease in the overall density of the vascular network within 3 hours after injury compared to the intact intestine and statistically significantly progresses by the end of 24 hours. The introduction of a physiological solution into the lumen of the small intestine 24 hours after spinal injury modeling, at a pressure of 7 cm, results in the reappearance of some of the small-diameter blood vessels that had previously disappeared. Conclusion . According to the OCA data, intramural microcirculation of the small intestine in the acute period of spinal injury is characterized by a decrease in the overall density of the vascular network. Dosed injection of physiological solution into the lumen of the small intestine at 7 cm of H2O leads to an increase in the density of the vascular network, bringing the indicators closer to the original ones.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".