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12009 Background: GA evaluates aging-related domains (e.g., function) known to be associated with cancer treatment toxicity. In this CRCT, we evaluated if providing a GA summary with management recommendations to oncologists can reduce toxicity in older patients (pts) with advanced cancer receiving chemotherapy and/or other agents with a high reported prevalence of grade 3-5 toxicity. Methods: Pts aged > 70 with incurable solid tumors or lymphoma and > 1 impaired GA domain starting a new treatment regimen were enrolled. Community oncology practices were randomized to intervention (oncologists received GA summary/recommendations for impairments) or usual care (none given). The primary outcome was proportion of pts who experienced any grade 3-5 toxicity (CTCAE v.4) within 3 months. Practice staff prospectively captured toxicities; blinded oncology clinicians reviewed medical records to verify. Secondary outcomes included 6 month overall survival (OS) and treatment intensity (standard vs reduced). Outcomes were analyzed using generalized linear mixed/Cox models with Arm as a fixed effect, controlling for practice. Results: From 2013-19, 718 pts were enrolled from 41 practices. Age (mean 77 yrs), sex (43% women), number of impaired GA domains (median 4/8), and treatment type (chemotherapy 88%) were not different by Arm. More pts in intervention were Black (12% vs 3%, p<0.01), had GI cancer (38% vs 31%, p<0.01), and had prior chemotherapy (31% vs 23%, p=0.02). Pts in intervention experienced a lower proportion of grade 3-5 toxicity (175/349; 50%) than pts in usual care (262/369; 71%). The relative risk (RR: intervention vs usual care) of grade 3-5 toxicity was 0.74 (95% CI: 0.63-0.87; p=0.0002); the difference was mostly driven by non-heme toxicities (RR 0.73; 95% CI: 0.53-1.0, p<0.05). OS was not significantly different (71% vs 74%, p=0.3). More pts in intervention received reduced intensity treatment at cycle 1 (49% vs 35%, RR 0.81, p=0.01). Dose modifications due to toxicity were lower in intervention (42% vs 58%, p<0.0001), but results were not significant after controlling for practice (RR 0.85; 95% CI: 0.67-1.08, p=0.2). Conclusions: Providing GA information to oncologists reduces the proportion of older pts who experience grade 3-5 toxicity from high-risk palliative cancer treatment, without compromising OS. Reduced treatment intensity at cycle 1 may explain these results. Funding: R01CA177592, U01CA233167, UG1CA189961. Clinical trial information: NCT02054741 .

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.

Purpose Polypharmacy is prevalent in older adults starting cancer treatment and associated with potentially inappropriate medications (PIM), potential drug-drug interactions (DDI), and drug-cancer treatment interactions (DCI). For a large cohort of vulnerable older adults with advanced cancer starting treatment, we describe patterns of prescription and nonprescription medication usage, the prevalence of PIM, and the prevalence, severity, and type of DDI/DCI. Methods This secondary analysis used baseline data from a randomized study enrolling patients aged ≥70 years with advanced cancer starting a new systemic cancer treatment (University of Rochester Cancer Center [URCC] 13059; PI: Mohile). PIM were categorized using 2019 Beers criteria and Screening Tool of Older Persons’ Prescriptions. Potential DDI/DCI were evaluated using Lexi-Interact Online. Medication classification followed the World Health Organization Anatomical Therapeutic Chemical system. Bivariate associations were evaluated between sociodemographic and geriatric assessment (GA) measures and medication measures. Chord diagrams and network analysis were used to understand and describe DDI/DCI. Results Among 718 patients (mean age 77.6 years), polypharmacy (≥5 medications), excessive polypharmacy (≥10 medications), and ≥1 PIM were identified in 61.3%,14.5%, and 67.1%, respectively. Cardiovascular medications were the most prevalent (47%), and nonprescription medications accounted for 26% of total medications and 40% of PIM. One-quarter of patients had ≥1 potential major DDI not involving cancer treatment, and 5.4% had ≥1 potential major DCI. Each additional medication increased the odds of a potential major DDI and DCI by 39% and 12%, respectively. Polypharmacy and PIM are associated with multiple GA domains. Conclusion In a cohort of vulnerable older adults with advanced cancer starting treatment, polypharmacy, PIM, and potential DDI/DCI are very common. Nonprescription medications are frequently PIMs and/or involved in potential DDI/DCI.

IMPORTANCEThe functional status and physical performance of older adults with cancer are underassessed and undertreated despite the high prevalence of impaired functional status and physical performance in this population and their associations with chemotherapy-induced toxic effects and mortality. OBJECTIVE To examine the association between providing oncologists with a geriatric assessment (GA) summary with recommendations and having oncologist-patient conversations about functional and physical performance.