Identifying patient-reported anxiety and depression in older adults with cancer.

Authors

null

Reena Jayani

H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL

Reena Jayani , Can-Lan Sun , Kemeberly Charles , Enrique Soto Perez De Celis , Leana Chien , Elsa Roberts , Jeanine Moreno , William Dale , Supriya Gupta Mohile , Mina S. Sedrak , Marianna Koczywas , Vincent Chung , Marwan Fakih , Joseph Chao , Mihaela C. Cristea , Sumanta K. Pal , Vani Katheria , Arti Hurria , Daneng Li

Organizations

H. Lee Moffitt Cancer Center and Research Institute, Tampa, FL, City of Hope, Duarte, CA, Instituto Nacional de Ciencias Medicas y Nutricion Salvador Zubiran, Mexico City, Mexico, CIY, Chicago, IL, University of Rochester Medical Center, Rochester, NY, City of Hope National Medical Center, Duarte, CA, Department of Medical Oncology and Therapeutics Research, City of Hope, Duarte, CA, The Judy and Bernard Briskin Center for Clinical Research, City of Hope, Duarte, CA, City of Hope Comprehensive Cancer Center, Duarte, CA, Memorial Sloan Kettering Cancer Center, New York, NY

Research Funding

Other Foundation
Other Foundation, City of Hope's Center for Cancer and Aging

Background: Anxiety and depression are associated with decreased quality of life, treatment adherence, and survival in patients with cancer. Mental Health Inventory (MHI-17) is a validated screening tool for psychological well-being, but cut points for older adults with cancer are unknown. The goal of this study is to identify cut points on MHI-17 Anxiety (MHI-A) and Depression (MHI-D) subscales which correlate with patient-reported anxiety and depression in older adults with cancer. Methods: This is a secondary analysis of baseline data from a randomized controlled trial in adults aged 65+ with solid tumors starting chemotherapy. At baseline, patients completed MHI-17. MHI-A and MHI-D were calculated (range 0-100; higher scores represent better mental health). Self-reported anxiety was obtained from single-item Linear Analog Scale Assessment (0-5 = low, 6-10 = high). Self-reported depression was obtained from Yale Depression Screen, “Do you often feel sad or depressed?” The association of MHI-A and MHI-D with the patient-reported outcomes was analyzed using logistic regression. Youden’s index was used to determine the optimal cut points for MHI-A and MHI-D for identifying patients with high anxiety and depression. Results: 458 patients (median age 71 (range 65-91), 57% female, 55% non-Hispanic white) were included in this analysis. The most common cancer types were: GI (31%), breast (19%), GU (18%), and pulmonary (16%); 75% had stage IV cancer. Twenty-four percent (N = 110) reported high anxiety and 21% (N = 97) depression. Median scores for MHI-A and MHI-D were 75 (range 0-100) and 80 (range 0-100). The optimal cut point for high anxiety on MHI-A was 65; this had an accuracy of 76.1%, a sensitivity of 71.8%, and a specificity of 77.5%. The optimal cut point for depression on MHI-D was 70; this had an accuracy of 80.1%, a sensitivity of 80.4%, and a specificity of 79.8%. Conclusions: The current study identified optimal cut points for MHI-Anxiety and MHI-Depression subscales to identify older adults with cancer starting chemotherapy with self-reported anxiety and depression. In the absence of patient-reported anxiety and depression, these cut points could be used to identify older patients with cancer at risk for poor mental health.

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Abstract Details

Meeting

2019 ASCO Annual Meeting

Session Type

Poster Session

Session Title

Symptoms and Survivorship

Track

Symptom Science and Palliative Care

Sub Track

Geriatric Models of Care

Citation

J Clin Oncol 37, 2019 (suppl; abstr 11556)

DOI

10.1200/JCO.2019.37.15_suppl.11556

Abstract #

11556

Poster Bd #

248

Abstract Disclosures

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