Factors associated with strong opioid use for noncancer pain in patients with chronic intestinal failure
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: Chronic analgesic use is described in home parenteral nutrition (HPN)-dependent patients, but there are limited data on factors associated with opioid use for noncancerous pain. METHODS: Patients attending a national UK intestinal failure reference center were divided in two groups according to strong opioid (SO) usage; risk factors for SO usage were analyzed using logistic regression. RESULTS: A total of 168 HPN-dependent patients were included. During the study period, 73 patients (43.5%) had documented SO usage (SO group), whereas the remainder did not (No-SO group). The prevalence of Crohn's disease among the No-SO group was twofold higher than among the SO group (43.2% vs 24.7%; P = 0.013), whereas those with surgical complications were twice as prevalent among the SO group (19.2% vs 8.4%, respectively; P = 0.04). The rate of working-age unemployment was significantly higher in the SO group (90.6%) than the No-SO group (55.6%; P = 0.001). Multivariate regression showed unemployment as an independent risk factor for SO usage (OR, 6.005; 95% CI, 1.435-25.134), whereas Crohn's disease (OR, 0.284; 95% CI, 0.09-0.898) and <4 intravenous support (IVS) nights per week (OR, 0.113; 95% CI, 0.012-1.009) were protective factors. The life-long incidence of catheter-related bloodstream infection (CRBSI) was comparable between groups (34.2% SO vs 27.4% No-SO; P = 0.336). CONCLUSION: SO use is frequent among HPN-dependent patients and associated with high rates of unemployment and ≥4 IVS nights per week, but not with increased rate of CRBSI. The reduced usage among patients with Crohn's disease warrants further evaluation but might be due to the chronicity as compared with other IF etiologies.
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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 | 0.003 | 0.015 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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 it