In-Use Physicochemical Stability of Sandoz Rituximab Biosimilar in 0.9% Sodium Chloride Solution After Prolonged Storage at Room Temperature Conditions
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: Often, stability studies do not cover all facets of ensuring patient safety for biologics, unless the impact of the in-use and out-of-fridge conditions is also assessed. This study investigated the physicochemical and biological stability of Sandoz rituximab biosimilar (SDZ-RTX). METHODS: In a worst-case setting, two SDZ-RTX batches in vials were exposed to long-term conditions (5 ± 3 °C) for at least the shelf-life period (36 months). These batches were exposed to out-of-fridge conditions of up to 25 ± 2 °C/60 ± 5% relative humidity in total for 14 days, and subsequently to 30 ± 2 °C/75 ± 5% relative humidity for 7 days. Thereafter, these batches were diluted to 1 mg/mL in 0.9% NaCl in 250-mL polyethylene infusion bags and stored at either 25 ± 2 °C/60 ± 5% relative humidity for 30 days or 30 ± 2 °C/75 ± 5% relative humidity for 14 days, representing in-use conditions. The stability of SDZ-RTX was assessed using a variety of analytical methods, including size-exclusion chromatography, cation exchange chromatography, non-reducing capillary electrophoresis sodium dodecyl sulfate, complement-dependent cytotoxicity-bioactivity, and subvisible particle count by light obscuration. RESULTS: Results for all assessments were within the stringent shelf-life acceptance criteria for SDZ-RTX for both batches under both in-use conditions. CONCLUSIONS: These data show that the physicochemical and biological quality of SDZ-RTX diluted in 0.9% NaCl infusion bags is assured, even after prolonged worst-case (out-of-fridge and in-use) storage at elevated temperatures up to 30 °C, if the medication is prepared under aseptic conditions according to the Summary of Product Characteristics.
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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) | 0.000 | 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) | 0.002 | 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".