Risk Factors and Outcomes of Stem Cell Mobilization Failure in Multiple Myeloma Patients
| Autor: | Te-Lin Hsu, Chun-Kuang Tsai, Chun-Yu Liu, Chiu-Mei Yeh, Fen-Lan Lin, Liang-Tsai Hsiao, Yao-Chung Liu, Hao-Yuan Wang, Po-Shen Ko, Ting-An Lin, Wen-Chun Chen, Po-Min Chen, Jin-Hwang Liu, Jyh-Pyng Gau, Chia-Jen Liu |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Transfusion Medicine and Hemotherapy. :1-12 |
| ISSN: | 1660-3818 1660-3796 |
| DOI: | 10.1159/000525565 |
| Popis: | Introduction: Autologous hematopoietic stem cell transplantation (ASCT) is a well-established treatment for patients with multiple myeloma (MM), and adequate stem cell collection must be assured before ASCT. However, prediction of poor mobilizers (PMs) is still difficult despite several risk factors for mobilization failure having been identified. Methods: We retrospectively analyzed MM patients at Taipei Veterans General Hospital in Taiwan who underwent stem cell collection between October 2006 and August 2020. A CD34+ cell collection of 6 cells/kg was defined as a mobilization failure. The primary endpoint was mobilization failure. The secondary endpoint was overall survival (OS). Odds ratios (ORs) and 95% confidence intervals (CIs) for mobilization failure were calculated using a logistic regression model. The cumulative incidence of mortality was estimated using the Kaplan-Meier method. Results: In the multivariate analysis, absolute monocyte count p = 0.009), platelet count p = 0.001) before mobilization, and time interval from diagnosis to stem cell harvest ≥180 days (adjusted OR 7.69, 95% CI: 1.61–36.87, p = 0.011) were risk factors for PMs. PM patients had poorer OS compared to patients with successful stem cell collection in the univariate analysis (log-rank test p = 0.027). The predicted probability of PMs was estimated by the multiple logistic regression model with a sensitivity of 84.6% and a specificity of 84.0%. Conclusion: Absolute monocyte count |
| Databáze: | OpenAIRE |
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