Adult patients with short bowel syndrome treated with teduglutide: A descriptive cohort study
Bibliographic record
Abstract
BACKGROUND: Teduglutide is a synthetic glucagon-like peptide-2 analogue approved for the treatment of short bowel syndrome associated with chronic intestinal failure (SBS-IF) in adult patients. Clinical trials have demonstrated its ability to reduce parenteral support (PS) requirement. This study aimed to describe the effect of 18-month treatment with teduglutide, evaluating PS and factors associated with PS volume reduction of ≥20% from baseline and weaning. Two-year clinical outcomes were also assessed. METHODS: This descriptive cohort study collected data prospectively from adult patients with SBS-IF treated with teduglutide and enrolled in a national registry. Data were collected every 6 months and included demographics, clinical, biochemical, PS regimen, and hospitalizations. RESULTS: Thirty-four patients were included. After 2 years, 74% (n = 25) had a PS volume reduction of ≥20% from baseline, and 26% (n = 9) achieved PS independency. PS volume reduction was significantly associated with longer PS duration, significantly lower basal PS energy intake, and absence of narcotics. PS weaning was significantly associated with fewer infusion days, lower PS volume, longer PS duration, and lower narcotics use at baseline. Alkaline phosphatase was significantly lower in weaned patients after 6 and 18 months of treatment. During the 2-year study duration, patients who had PS volume reduction of ≥20% had significantly fewer yearly hospitalizations and hospital-days. CONCLUSIONS: Teduglutide reduces PS volume and promotes weaning in adults with SBS-IF. Lack of narcotics and longer PS duration were associated with PS volume reduction and weaning, and lower baseline PS volume and fewer infusion days were favorable in obtaining enteral autonomy.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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".