Chemotherapy-based stem-cell mobilization with risk of severe adverse events requiring hospitalization
Target Population
Patients with multiple myeloma eligible for autologous stem-cell transplantation
Care Setting
Inpatient and potential outpatient stem-cell mobilization protocols
Key Highlights
97% of patients achieved successful stem-cell collection despite high incidence of severe adverse events (69%) requiring hospitalization.
Machine learning models can predict certain adverse events (e.g., elevated creatinine with ROC-AUC 1.0) and forecast timing of adverse event onset with a mean error of about one day.
Risk-stratified outpatient stem-cell mobilization protocols could reduce inpatient bed usage by at least one third without compromising patient safety.
Guideline-Based Recommendations
Diagnosis
Assess eligibility for autologous stem-cell transplantation in multiple myeloma patients.
Monitor renal function and neutropenic fever risk during stem-cell mobilization.
Management
Consider inpatient chemotherapy-based stem-cell mobilization as standard care.
Implement risk-stratified outpatient mobilization protocols guided by predictive modeling to optimize resource use and patient safety.
Monitoring & Follow-up
Closely monitor for severe adverse events requiring hospitalization during mobilization.
Use predictive models to anticipate adverse event onset timing for optimized ward management.
Risks
High incidence of severe adverse events (69%) including neutropenic fever and elevated creatinine.
Challenges remain in accurately predicting neutropenic fever (ROC-AUC 0.67).
The company adds $300 million to its Puerto Rico biologics site as Pfizer reports Phase 3 myeloma data, J&J advances a dual-pathway IBD antibody, and BioNTech streamlines production