Study on Dynamic Frailty Risk Assessment in Myeloma

Dr. Hira Mian presents a study examining the need for dynamic frailty assessment among older adults with multiple myeloma

Abstract title:

Need for Dynamic Frailty Risk Assessment Among Older Adults with Multiple Myeloma: A Population-Based Cohort Study

Purpose of the trial:

Multiple myeloma (MM) is a cancer of older adults with significant morbidity and mortality. Frail patients are a high-risk subgroup at risk for poor outcomes. While a number of tools have been developed for frailty assessment, many are measured only at baseline and do not take into account changes in frailty over time. Understanding both improvements and deteriorations in frailty over the disease trajectory may have important considerations in modifying treatment delivery based upon a patient’s changing fitness status.

Electronic frailty indices using a cumulative deficit approach have emerged as an important tool for identifying frail older adults in clinical practice through the electronic medical record. A cumulative deficit approach allows for characterization of frailty by evaluating an individual’s health status as a proportion of ageing-associated deficits an individual has incurred. This approach may allow for a more dynamic measurement of frailty as ‘deficits’ may drop off when not actively coded or new 'deficits' may accumulate with increasing co-morbidities. Using an administrative database and the cumulative deficit approach to categorizing frailty, we aimed to 1) evaluate the dynamic trajectory of frailty among a cohort of older adults with MM during the first three years following diagnosis 2) identify factors associated with improvements or deterioration of frailty over time.

Video summary:

A total of 4617 patient with MM were identified. Baseline characteristics are shown in Table 1. At baseline, 39% of the patients were categorized as moderately frail or severely frail. In multivariate analysis, older age, female gender, black race, and Medicaid enrollment were associated with higher frailty status. Immunomodulatory drug adminstration during first-line treatment was lower among patients with higher frailty status.

One year following diagnosis, 15% of the patients showed in an improvement in the frailty status, 33% had a deterioration, 26% remained the same, and 25% had died. On multivariate analysis, older age, male gender, and Medicaid enrollment were associated with increased odds of worsening frailty status at one year. In landmark analyses at years 1, 2 and 3 post diagnosis, the predictive ability of current frailty status remained fairly consistent (Harrell’s C Statistic 0.64-0.65).

Conclusion:

Our study is one of the first to demonstrate the dynamic nature of frailty among older adults with MM. Frailty can both improve and deteriorate over time. Current frailty status is a better predictor of outcomes than baseline frailty status, indicating the need for re-measurement. Future strategies aimed at further assessing and incorporating dynamic frailty monitoring over time are needed to provide more tailored treatment.

Trial information:

ASH 2022: Abstract #171 (https://ash.confex.com/ash/2022/webprogram/Paper158277.html)

Authors:

Hira S Mian, MD, MSc, Tanya Wildes, MD, MSc, Ravi Vij, MD, MBBS, Ajay Major, MD, MBA and Mark A Fiala, PhD