Background: Polypharmacy and potentially inappropriate medications (PIMs) are prevalent in older adults with cancer, but their associations with physical function are not often studied. This study examined the associations of polypharmacy and PIMs with physical function in older adults with cancer, and determined the optimal cutoff value for the number of medications most strongly associated with physical functional impairment. Methods: This cross-sectional analysis used baseline data from a randomized study enrolling patients aged ≥70 years with advanced cancer starting a new systemic cancer treatment. We categorized PIM using 2015 American Geriatrics Society Beers Criteria. Three validated physical function measures were used to assess patient-reported impairments: activities of daily living (ADL) scale, instrumental activities of daily living (IADL) scale, and the Older Americans Resources and Services Physical Health (OARS PH) survey. Optimal cutoff value for number of medications was determined by the Youden index. Separate multivariate logistic regressions were then performed to examine associations of polypharmacy and PIMs with physical function measures. Results: Among 439 patients (mean age, 76.9 years), the Youden index identified ≥8 medications as the optimal cutoff value for polypharmacy; 43% were taking ≥8 medications and 62% were taking ≥1 PIMs. On multivariate analysis, taking ≥8 medications was associated with impairment in ADL (adjusted odds ratio [aOR], 1.64; 95% CI, 1.01–2.58) and OARS PH (aOR, 1.73; 95% CI, 1.01–2.98). PIMs were associated with impairments in IADL (aOR, 1.72; 95% CI, 1.09–2.73) and OARS PH (aOR, 1.97; 95% CI, 1.15–3.37). A cutoff of 5 medications was not associated with any of the physical function measures. Conclusions: Physical function, an important component of outcomes for older adults with cancer, is cross-sectionally associated with polypharmacy (defined as ≥8 medications) and with PIMs. Future studies should evaluate the association of polypharmacy with functional outcomes in this population in a longitudinal fashion.
Mostafa R. Mohamed, Erika Ramsdale, Kah Poh Loh, Huiwen Xu, Amita Patil, Nikesha Gilmore, Spencer Obrecht, Megan Wells, Ginah Nightingale, Katherine M. Juba, Bryan Faller, Adedayo Onitilo, Thomas Bradley, Eva Culakova, Holly Holmes and Supriya G. Mohile
Arti Hurria, Ilene S. Browner, Harvey Jay Cohen, Crystal S. Denlinger, Mollie deShazo, Martine Extermann, Apar Kishor P. Ganti, Jimmie C. Holland, Holly M. Holmes, Mohana B. Karlekar, Nancy L. Keating, June McKoy, Bruno C. Medeiros, Ewa Mrozek, Tracey O’Connor, Stephen H. Petersdorf, Hope S. Rugo, Rebecca A. Silliman, William P. Tew, Louise C. Walter, Alva B. Weir III and Tanya Wildes
Arti Hurria, Tanya Wildes, Sarah L. Blair, Ilene S. Browner, Harvey Jay Cohen, Mollie deShazo, Efrat Dotan, Barish H. Edil, Martine Extermann, Apar Kishor P. Ganti, Holly M. Holmes, Reshma Jagsi, Mohana B. Karlekar, Nancy L. Keating, Beatriz Korc-Grodzicki, June M. McKoy, Bruno C. Medeiros, Ewa Mrozek, Tracey O’Connor, Hope S. Rugo, Randall W. Rupper, Rebecca A. Silliman, Derek L. Stirewalt, William P. Tew, Louise C. Walter, Alva B. Weir III, Mary Anne Bergman and Hema Sundar
Cancer is the leading cause of death in older adults aged 60 to 79 years. The biology of certain cancers and responsiveness to therapy changes with the patient’s age. Advanced age alone should not preclude the use of effective treatment that could improve quality of life or extend meaningful survival. The challenge of managing older patients with cancer is to assess whether the expected benefits of treatment are superior to the risk in a population with decreased life expectancy and decreased tolerance to stress. These guidelines provide an approach to decision-making in older cancer patients based on comprehensive geriatric assessment and also include diseasespecific issues related to age in the management of some cancer types in older adults.