A geriatric assessment (GA) intervention for older patients with advanced cancer: Secondary outcomes from a University of Rochester cancer center NCI community oncology research program cluster randomized controlled trial (CRCT).

Authors

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Supriya Gupta Mohile

University of Rochester Medical Center, Rochester, NY

Supriya Gupta Mohile, Mostafa Mohamed, Huiwen Xu, Amita Patil, Eva Culakova, Erika E. Ramsdale, Kah Poh Loh, Allison Magnuson, Marie Anne Flannery, Nikesha Gilmore, Richard Francis Dunne, Spencer Obrecht, Sandy Plumb, Lisa M Lowenstein, Karen Michelle Mustian, Gary R. Morrow, Judith O. Hopkins, Rakesh Gaur, Jeffrey L. Berenberg, William Dale

Organizations

University of Rochester Medical Center, Rochester, NY, University of Rochester James Wilmot Cancer Institute, Rochester, NY, The University of Texas MD Anderson Cancer Center, Houston, TX, Southeast Clinical Oncology Research Consortium, Winston Salem, NC, St. Luke's Cancer Institute, Kansas City, MO, Hawaii MUNCORP, Honolulu, HI, City of Hope National Medical Center, Duarte, CA

Research Funding

U.S. National Institutes of Health
U.S. National Institutes of Health.

Background: GA evaluates aging-related domains (e.g., function) known to be associated with cancer treatment toxicity. We found that providing a GA summary with management recommendations to oncologists reduces clinician-rated toxicity in older patients (pts) with advanced cancer receiving high risk treatment (presented @ASCO2020). Herein, we report secondary outcomes on the effects of the GA intervention on aging-related outcomes. 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) or usual care (none given). Secondary analyses examined effects of the intervention on functional outcomes (patient-reported falls, instrumental activities of daily living (IADL), short physical performance battery (SPPB), geriatric depression scale (GDS), and medications [total and prescription]). Outcomes were analyzed using linear mixed effects model, logistic or Poisson regression adjusted for baseline values, time, and site effects as appropriate. 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). Overall, 16.4% of all pts had one new fall over 3 months; patients in the intervention arm were significantly less like to fall over 3 months (11.7% vs 20.7%; Risk Ratio 0.58; 95% CI 0.40-0.84, p=0.004). There was no difference in the total number of medications (mean 5.86 vs 5.79, p=0.80) and prescriptions (mean 4.26 vs 4.20, p=0.70) at baseline. More medications (adjusted mean 0.23 vs 0.09, p=0.03) and prescriptions (0.19 vs 0.07, p=0.05) were discontinued during intervention, although there was no difference at 3 month follow up. There were no significant between-arms differences in IADL, SPPB, and GDS. Conclusions: Providing GA information to oncologists reduces the proportion of older pts who experience a fall over 3 months and improves polypharmacy; both of these endpoints are of clinical importance to older adults with aging-related conditions and advanced cancer undergoing palliative treatment. Funding: R01CA177592, U01CA233167, UG1CA189961. Clinical trial information: NCT02054741.

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Abstract Details

Meeting

2020 ASCO Quality Care Symposium

Session Type

Poster Highlights Session

Session Title

Poster Highlights D: Predicting Outcomes for Patients and Clinicians

Track

Quality, Safety, and Implementation Science,Technology and Innovation in Quality of Care,Cost, Value, and Policy,Health Care Access, Equity, and Disparities,Patient Experience

Sub Track

Value-Based Models of Care

Clinical Trial Registration Number

NCT02054741

Citation

J Clin Oncol 38, 2020 (suppl 29; abstr 33)

DOI

10.1200/JCO.2020.38.29_suppl.33

Abstract #

33

Abstract Disclosures