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.
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 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 | 0.001 | 0.000 |
| 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 | 0.001 |
| 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".