Persistence and Dose Escalation During Maintenance Phase and Use of Nonbiologic Medications Among Patients With Ulcerative Colitis Initiated on Ustekinumab in the United States
Bibliographic record
Abstract
Abstract Background Real-world data on treatment patterns among patients with ulcerative colitis (UC) initiated on ustekinumab are limited. Methods Adults with UC initiated on ustekinumab (index date) between 10/18/2019 and 04/31/2022 were selected from a deidentified health insurance claims database (Symphony Health, an ICON plc Company, PatientSource). Persistence (no gaps in days of supply >120 days), persistence while being corticosteroid-free (no corticosteroid use for ≥14 days of supply after a 90-day grace period from index date) and dose escalation (≥2 consecutive subcutaneous claims ≥100% above daily maintenance dose) were described during the maintenance phase using Kaplan–Meier analysis. Nonbiologic treatments, among patients with ≥2 ustekinumab claims within 90 days post-index and ≥6 months of follow-up, were compared with logistic models 6 months post- versus pre-ustekinumab initiation. Results 6565 patients on ustekinumab entered the maintenance phase. At month 12 of the maintenance phase, 72.0% (95% confidence interval [CI]: 70.1%–73.9%) were persistent, 50.8% (95% CI: 48.7%–52.9%) were persistent and corticosteroid-free, and 19.2% (95% CI: 17.3%–21.3%) of patients had dose escalation. In the 6 months post- versus pre-ustekinumab initiation, the odds of nonbiologic medication use assessed in 4147 patients were significantly lower: 57% lower odds for corticosteroid, 46% for 60 cumulative days of corticosteroid, 42% for 5-aminosalicylic acid, and 24% for immunomodulators (all P < .001). Conclusions Most patients with UC reaching the maintenance phase on ustekinumab remained persistent after 12 months of maintenance therapy. Nonbiologic medication use post-ustekinumab initiation was significantly lower, notably for corticosteroids. Given the multiple complications associated with chronic corticosteroid use, this reduction can be seen as clinically relevant and informs treatment choice for patients with UC.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| 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".