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449 FRAIL-HRU-AML: Impact of Frailty Assessment on Health Resource Utilization in Acute Myeloid Leukemia Patients: A Population-Based Study from Ontario, Canada

Program: Oral and Poster Abstracts
Type: Oral
Session: 615. Acute Myeloid Leukemias: Clinical and Epidemiological: Frailty, Age, and Care Provisions-Impact on AML Outcomes
Hematology Disease Topics & Pathways:
Clinical Practice (Health Services and Quality)
Sunday, December 8, 2024: 10:30 AM

Gopila Gupta1*, Sho Podolsky2*, Ning Liu, PhD3*, Matthew C. Cheung, MD, MSc4 and Aniket Bankar, MD, MBBS, MSc, DM1

1Princess Margaret Cancer Centre, University of Toronto, Toronto, Canada
2Institute for Clinical Evaluative Sciences (ICES), Toronto, ON, Canada
3ICES, Toronto, ON, Canada
4Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada

Introduction

The management of acute myeloid leukemia (AML) involves significant healthcare resource utilization (HRU) due to frequent and prolonged hospitalizations for chemotherapy and supportive care. Frailty, which encompasses overall fitness beyond just comorbidities, is associated with poorer outcomes in various cancers. Assessing frailty can enhance treatment decision-making in oncology by adding valuable context to disease-specific factors. However, the specific impact of frailty on HRU in AML has not been well studied. Therefore, this study aims to evaluate the impact of frailty on HRU in AML patients.

Methods

This retrospective cohort study from population-based health administrative databases in Ontario, Canada (ICES) included all patients (pts) ≥18 years newly diagnosed (ND) with AML between 2006 and 2021 and treated within 90 days after diagnosis. Patients were followed from date of first chemotherapy to 1- year after maximum follow up until March 31, 2023, for HRU outcomes. Patients were censored at the time of allogenic stem cell transplant (ASCT). The primary predictor, frailty was measured using McIsaac’s frailty index (MFI) and categorized as fit (FT), pre-frail (PFR), or frail (FR). HRU outcomes included length of stay for all hospitalizations in days (Total-LOS), intensive care unit stay in days (ICU-LOS), and number of hospital admissions including emergency visits (HA) within first year after starting chemotherapy. These outcomes were measured as per person year (PPY) to adjust for variability in length of follow-up. Association of frailty with HRU outcomes was measured as rate ratios (RR) using multivariable negative binomial models. Model co-variates included age, sex, rurality, neighborhood income quintile, Ontario marginalization (ON-MARG), co- morbidities, ethnicity, prior non-AML malignancy, and treatment intensity {classified as intensive (IT) or non-intensive (NIT) based on standard practices}.

Results

This study included 5450 pts with ND- AML, with a median age of 65 years (IQR 54-74), 55.8% being males. 3543 (65%) patients received IT and 1907 (35%) received NIT. In entire cohort, 1750 (32.1%) patients were FT, 1874 (34.4%) PFR, and 1826 (33.5%) FR. In 2,035 (37%) patients ≤ 60 years, 44.5% (905) were FT, 36.7% (746) PFR, and 18.9% (384) FR. In 3,415 (63%) patients > 60 years of age, 24.7% (845) patients were FT, 33.0% (1,128) PFR and 42.2% (1,442) FR. 39.0% (683) of FT, 28.7% (537) of PFR, and 18.7% (342) of FR patients underwent ASCT. Median follow up for entire cohort was 13 months (IQR: 4-34). Median overall survival (months) was 12.5 (95% CI: 12.0-13.2) in the entire cohort, 17.6 (95% CI: 16.2-19.1) in FT, 13.7 (95% CI: 12.6-15) in PFR, and 8.5 (95% CI: 7.6-9.3) for FR patients.

On univariate analysis, the total LOS (days) was longer for FT patients: 62.04 (95% CI: 61.62-62.46) for FT, 52.29 (95% CI: 51.91-52.68) for PFR, and 55.69 (95% CI: 55.25-56.13) for FR patients, with statistical significance (p<0.0001). However, ICU-LOS (days) was longer (p<0.0001) for FR patients with a median ICU-LOS of 3.15 (95% CI: 3.05-3.26) for FR, 2.41 (95% CI: 2.33-2.49) for PFR, and 2.32 (95% CI: 2.24-2.40) for FT patients. Similarly, HAs were more frequent in FR patients, 5.63 (95% CI: 5.49-5.77) for FR, 4.99 (95% CI: 4.88-5.11) for PFR, and 5.18 (95% CI: 5.06-5.30) for FT patients, showing statistical significance (p<0.0001).

On multivariable analysis for total-LOS, frail patients had significantly higher total- LOS (RR-1.17, 95% CI- 1.06-1.29, p=0.0009), compared to, FT patients (ref.). Advanced age, sex, intensity of chemotherapy and presence of secondary AML were not significantly associated with total- LOS. Frailty was also associated with higher ICU- LOS (RR-1.81, 95% CI- 1.35-2.4, p<0.001) compared to fit patients (ref.). Patients older than 65 years also had higher ICU-LOS (p<0.001) and female patients had lower ICU-LOS. Intensity of treatment had no significant association with ICU-LOS. Similarly, FR patients had significantly higher HA (RR-1.12, 95% CI- 1.05-1.20, p=0.0005) than FT patients (ref.). Advanced age above 65 years of age, those receiving IT and patients with secondary AML also showed independent association with increased HA.

Conclusion

Frailty is independently associated with higher total-LOS, ICU-LOS and HA in ND- AML patients within 1 year of starting chemotherapy after adjusting for advanced age, sex, intensity of chemotherapy and secondary AML.

Disclosures: No relevant conflicts of interest to declare.

*signifies non-member of ASH