1708P Severe neutropenia (grade 4, Gr4N) as a population-based predictor for adverse clinical outcome of chemotherapy induced neutropenia (CIN)
| Autor: | Ramon Mohanlal, S. Ogenstad, L. Huang, Douglas W. Blayney |
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| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: | |
| Zdroj: | Annals of Oncology |
| ISSN: | 1569-8041 0923-7534 |
| Popis: | Background: In the COVID-19 era, a simplified risk assessment algorithm for CIN might optimize resource utilization. Since Gr4N toxicity is frequently measured and reported in clinical trial results, Gr4N frequency might predict adverse clinical outcomes for patients who develop CIN. Methods: We performed a meta-analysis combining data from published CIN clinical trials and the clinical trial datasets from the novel CIN-preventive agent plinabulin. Literature search terms included Grade 4 neutropenia, severe neutropenia, chemotherapy-induced neutropenia, febrile neutropenia (FN), infection, absolute neutrophil count (ANC) nadir, and duration of severe neutropenia (DSN). The search engines were NCBI, PubMed, and Google Scholar databases. To evaluate the validity of the dataset, we first evaluated correlations between the historically accepted CIN endpoints FN rate, DSN, and ANC nadir. Next, we correlated Gr4N frequency with FN rate, DSN, ANC nadir, hospitalization rate, and infection rate. Results: Correlations of exponential equations between FN rate, DSN, and ANC nadir were in strong and statistically significant (p |
| Databáze: | OpenAIRE |
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