Poster Presentation Clinical Oncology Society of Australia Annual Scientific Meeting 2023

An observational study of frailty, associated factors and outcomes in older adults with and without a cancer diagnosis in an acute medical unit (#207)

Chad Han 1 , Raymond Chan 1 , Yogesh Sharma 2 3 , Alison Yaxley 1 , Claire Baldwin 1 , Michelle Miller 1
  1. Caring Futures Institute, College of Nursing and Health Sciences, Flinders University, Adelaide, South Australia, Australia
  2. General Medicine, Flinders Medical Centre, Adelaide, South Australia, Australia
  3. College of Medicine and Public Health, Flinders University, Adelaide, South Australia, Australia

Background: Frailty in older adults, especially during hospitalisation, is associated with prolonged hospital stay.

Objective: To compare the prevalence, characteristics, and length of stay of pre-frailty and frailty between older adults with and without a cancer diagnosis in an acute medical unit (AMU).

Methods: A cohort of hospitalised older adults ≥65 years (n=329), admitted to the AMU, Flinders Medical Centre, Adelaide, South Australia were recruited. All eligible patients ≥65 years, admitted between February to September 2020 to the AMU were invited to participate in this study within 48 hours of their hospital admission.

Results: In this cohort, 22% hospitalised older adults (n=71) were cancer survivors. Cancer types included prostate (n=20), breast (n=13), lung (n=8), gastrointestinal (n=8), skin (n=6), colorectal (n=5), head and neck (n=2), liver (n=3), ovarian (n=2), others (n=4). Eight patients had metastatic disease. The prevalence of pre-frailty and frailty (58%) within the cancer survivors were similar to those with no history of cancer (57%). Cancer survivors in this cohort had a range and median (IQR) length of stay of 1 to 28 and 3 (2-6) days, respectively. Binary logistic regression analysis suggested that the cancer survivors were more likely to be associated with a higher comorbidity burden (OR: 1.23, 95% CI: 1.03-1.47, P=0.022) and were less likely to be female (OR:0.40, 95% CI: 0.22-0.70, P=0.002) compared to those without a history of cancer. Multinomial logistic regression analysis suggested that compared to those that were robust, older cancer survivors who were pre-frail or frail were significantly more likely to have a higher number of medications (OR:1.24, 95% CI: 1.01-1.53, P=0.038; OR: 1.30, 95% CI: 1.07-1.58).

Conclusion: There is a high prevalence of pre-frailty and frailty amongst hospitalised older adults in the acute medical unit regardless of cancer diagnosis. Older adult cancer survivors that are pre-frail or frail were more likely to experience polypharmacy.