Frailty is dynamic and confers poor outcomes in elderly patients with newly diagnosed multiple myeloma (NDMM), mainly because of the high prevalence of treatment discontinuation due to intolerability. We designed a multi-center prospective study (DynaFiT) based on our real-life practice to evaluate the feasibility and benefits of a dynamic frailty-tailored therapy in elderly patients with different fitness/frailty statuses. Since Dara-based treatment have recently become the new standard regimens, in this amendment of the study, daratumumab added to VRd is recommended as induction therapy regimen.
Older patients with MM represent a heterogeneous population with different fitness/frailty statuses. Unlike fit patients who can benefit from intensive therapies due to their endurance, frail patients are often susceptible to treatment-related toxicity, leading to treatment discontinuation and poor outcomes. More importantly, frailty can diminish the prognostic impact of disease-related factors over disease trajectory. Thus, it is of utmost importance to determine the fitness/frailty status for treatment decision-making that carefully balances efficacy and safety in this vulnerable population. However, geriatric assessment is often conducted at diagnosis in clinical practice. Although baseline frailty status, as a static risk factor, is significantly associated with OS, its predictive ability decreases over time. Of note, emerging evidence indicates that the fitness/frailty status is highly dynamic because of age increase, disease trajectory, and treatment, raising the notion that frailty-tailored therapy should be designed based on the baseline fitness/frailty status and also according to its longitudinal changes during the treatment course. Thus, current frailty status better predicts OS. To improve outcomes in elderly patients, this study was designed to investigate an entirely novel therapeutic strategy, the dynamic frailty-tailored therapy, in elderly MM patients with different fitness/frailty statuses.
Study Type
OBSERVATIONAL
Enrollment
131
The First Hospital of Jilin University
Changchun, Jilin, China
RECRUITINGOverall response rate (at least PR) on induction therapy
Overall response rate(ORR) is defined as the percentage of participants with presence of stringent complete response (sCR), complete response (CR), very good partial response (VGPR) or partial response (PR). ORR assessment will be based on International Myeloma Working Group (IMWG) response criteria.
Time frame: From the date of inclusion to the end of induction therapy, up to 8 months.
Rate of treatment discontinued(TD)
The effect of intensive or mild treatment based on dynamic frailty status on treatment discontinued(TD) in elderly newly diagnosed multiple myeloma.
Time frame: The time from the date of inclusion to the date of treatment discontinued from any cause, up to 24 months.
Treatment related adverse event(TRAE)
Toxicity and safety will be reported based on the adverse events, as graded by CTCAE V5 and determined by routine clinical assessments.
Time frame: Baseline, end of every induction cycle and maintenance cycle, until disease progression or treatment discontinued, up to 24 months.
Early mortality(EM)
Early mortality is defined as death within 3, 6, 12 and 24 months (EM3,EM6,EM12 and EM24).
Time frame: The time from the date of inclusion to the date of death from any cause, up to 24 months.
Progression-free survival(PFS)
Progression-free survival(PFS) is defined as the time from inclusion to the time of first documented evidence of disease progression or death from any cause. Individuals who are lost to follow-up or progression-free at the time of analysis will be censored at their last known date to be alive and progression-free. Disease progression is defined according to the IMWG Uniform Response Criteria for Multiple Myeloma.
Time frame: The time from the date of inclusion to the date of first documented evidence of disease progression or death from any cause, up to 24 months.
Overall survival (OS)
In each case it is the time from inclusion to the time of death from any cause. Individuals who are lost to follow-up or still alive at the time of analysis will be censored at their last known date to be alive.
Time frame: The time from the date of inclusion to the date of death from any cause, up to 24 months
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