Early Pregabalin Treatment Suppresses Autonomic Dysreflexia Following Spinal Cord Injury in Rats
Bibliographic record
Abstract
Following spinal cord injury (SCI), up to 70% of patients develop a condition known as autonomic dysreflexia (AD). This study investigates the use of Pregabalin as a preemptive treatment to mitigate the development of AD following SCI in an animal model. Saline-treated and dPGB rats (first Pregabalin treatment 7 days post-SCI) demonstrated typical signs of AD, with mean arterial pressure (MAP) increases of 23.5% and 27.4% respectively, following colon distension. In contrast, iPGB animals (first Pregabalin treatment 1 hour post-SCI) had MAP increases of 14.6%; significantly lower than saline-treated animals. Additionally, iPGB animals had significantly lower urine volumes than saline-treated animals on days 9 and 10 post-SCI, indicating a more rapid return of spontaneous bladder voiding. It was concluded that only treatment with Pregabalin immediately following SCI can alleviate large increases in blood pressure that accompany AD episodes. Immunostaining for substance P revealed a significantly higher density in both the dorsal horn and central autonomic area in iPGB animals when compared to saline-treated and uninjured animals, indicating a possible mechanism of sympathetic inhibition following iPGB treatment.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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) | 0.002 | 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".