Premedication with montelukast and rupatadine decreased rituximab infusion time, rate, severity of reactions and use of rescue medications
Bibliographic record
Abstract
Rituximab-associated infusion reactions (IRs) are significant burdens on oncology patients, caregivers and healthcare providers. We evaluated whether montelukast and rupatadine improve rituximab delivery, decrease frequency/severity of IRs and the number of medications used to control IRs. Using a nonrandomized clinical study design, we assessed adult rituximab naïve patients with B-cell lymphoid malignancies from January 2017 to July 2019. Prior to the first rituximab infusion patients received one of the premedication regimens: (i) standard premedications, diphenhydramine hydrochloride and acetaminophen ("SP" group); (ii) SP + montelukast ("M" group); (iii) SP + rupatadine ("R" group); (iv) SP + rupatadine + montelukast Schedule 1 ("M + R Schedule 1" group); (v) SP + rupatadine + montelukast Schedule 2 ("M + R Schedule 2" group). A total of 223 patients with a median age of 69 years were assessed. Demographics and treatment groups were comparable among all five groups. Mean rituximab infusion time was 290 min in the SP group versus 273, 261, 243 and 236 min in the M, R, M + R Schedule 1 and M + R Schedule 2 groups, respectively. The incidence of rituximab IRs was 75% in the SP group versus 44, 41, 22 and 22% in the M, R, M + R Schedule 1 and M + R Schedule 2 groups, respectively. The median reaction grade was 2 in the SP group and 0 in all other groups. The median number of rescue medications was 3 in the SP group and 0 in all other groups. In conclusion, montelukast and rupatadine significantly improved rituximab delivery, decreased the rate and severity of IRs and reduced the need for rescue medications.
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How this classification was reachedexpand
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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".