An objective measure is needed to identify frail older adults with cancer who are at increased risk for poor health outcomes. The primary objective of this study was to develop a frailty index from a cancer-specific geriatric assessment (GA) and evaluate its ability to predict all-cause mortality among older adults with cancer. Using a unique and novel data set that brings together GA data with cancer-specific and long-term mortality data, we developed the Carolina Frailty Index (CFI) from a cancer-specific GA based on the principles of deficit accumulation. CFI scores (range, 0-1) were categorized as robust (0-0.2), pre-frail (0.2-0.35), and frail (>0.35). The primary outcome for evaluating predictive validity was all-cause mortality. The Kaplan-Meier method and log-rank tests were used to compare survival between frailty groups, and Cox proportional hazards regression models were used to evaluate associations. In our sample of 546 older adults with cancer, the median age was 72 years, 72% were women, 85% were white, and 47% had a breast cancer diagnosis. Overall, 58% of patients were robust, 24% were pre-frail, and 18% were frail. The estimated 5-year survival rate was 72% in robust patients, 58% in pre-frail patients, and 34% in frail patients (log-rank test,<.0001). Frail patients had more than a 2-fold increased risk of all-cause mortality compared with robust patients (adjusted hazard ratio, 2.36; 95% CI, 1.51-3.68). The CFI was predictive of all-cause mortality in older adults with cancer, a finding that was independent of age, sex, cancer type and stage, and number of medical comorbidities. The CFI has the potential to become a tool that oncologists can use to objectively identify frailty in older adults with cancer.

Background. We investigated whether a brief geriatric assessment (GA) would identify important patient deficits that could affect treatment tolerance and care outcomes within a sample of older cancer patients rated as functionally normal (80%-100%) on the Karnofsky performance status (KPS) scale. Methods. Cancer patients aged $65 years were assessed using a brief GA that included both professionally and patientscored KPS and measures of comorbidity, polypharmacy, cognition, function, nutrition, and psychosocial status. Data were analyzed using descriptive statistics and multivariable logistic regression. Results. The sample included 984 patients: mean age was 73 years (range: 65-99 years), 74% were female, and 89% were white. GA was conducted before (23%), during (41%), or after (36%) treatment. Overall, 54% had a breast cancer diagnosis

Background Occupational and physical therapy (OT/PT) services seek to reduce morbidity, mortality, and improve the quality of life of individuals; however, little is known about the needs and use of OT/PT for older adults with cancer. The goal of this study was to describe the functional deficits and their associations with other factors, and to examine the use of OT/PT after a noted functional deficit. Materials and Methods This study analyzed data from an institution-based registry that included geriatric assessments of older adults with cancer linked to billing claims data. Logistic regression was used to model predictors of functional deficits. Use of OT/PT was determined and validated with medical chart review. Results 529 patients with cancer, a median age of 71, 78% were female, 87% Caucasian, 57% married, 53% post-secondary education, 63% with breast cancer were included. In a multivariable model, the odds of having any functional deficits increased with age [5 year OR: 1.31, 95% CI: (1.10, 1.57)] were higher for those with a high school diploma versus those with advanced degrees [OR: 1.66, 95% CI: (1.00, 2.77)] and were higher for patients with comorbidities [OR: 1.15, 95% CI: (1.10, 1.21)]. Of patients with functional deficits only 9% (10/111) received OT/PT within 12 months of a noted deficit. Discussion The odds of having any potentially modifiable functional deficit were higher in patients with increasing age, comorbid conditions, and with less than a college degree. Few were referred for OT/PT services suggesting major underutilization of these potentially beneficial services.

BackgroundSkeletal muscle loss, commonly known as sarcopenia, is highly prevalent in older adults and linked with adverse outcomes in cancer, yet the definition and role of sarcopenia remains uncertain. The aim of this study was to examine the association of Computerized Tomography (CT) assessed skeletal muscle measures with physical function in older adults with cancer.ResultsCTs for 185 patients were available. Median age 73 (IQR 68–76) and 56.5% female. After controlling for sex and BMI, we found no evidence that SMI was associated with physical function impairments. Both SMD and SMG were associated physical function impairments and higher values were associated with decreased limitations in instrumental activities of daily living (RR 0.84 [CI 0.73–0.96] and 0.94 [CI 0.89–0.99], respectively), climbing stairs (RR 0.84 [CI 0.76–0.94] and 0.91 [CI 0.87–0.96]), walking 1 block (RR 0.77 [CI 0.67–0.90] and 0.91 [CI 0.85–0.97]), and prolonged Timed Up and Go (RR 0.83 [CI 0.75–0.92] and 0.92 [CI 0.88–0.96]).Materials and MethodsUsing the Carolina Senior Registry, we identified patients with CT imaging performed within 60 days +/− of baseline geriatric assessment (GA). Skeletal muscle area and density (SMD) were analyzed from L3 lumbar segments. Muscle area and height (m2) were used to calculate skeletal muscle index (SMI). Skeletal Muscle Gauge (SMG) was created by multiplying SMI x SMD.ConclusionsSkeletal muscle mass as assessed from CT imaging was not associated with physical function impairments. Skeletal muscle radiodensity was more associated with physical function and may aid in identifying older adults at risk for functional impairments.

Purpose This study aims to (1) describe the activities, function, and health-related quality of life (HRQOL) of a large sample of older adults (age ≥ 65) with cancer, (2) identify the associations with demographics, cancer type, comorbid conditions, and ability to participate in activities and functional status. Methods The Health Registry/Cancer Survivorship Cohort is an institutional database designed to aid cancer survivorship research. The registry includes three measures of patient-reported HRQOL: FACT-G and PROMIS® Global measures for physical and mental health. Other measures included in the registry are cancer type, date from diagnosis, number of comorbid conditions and specific conditions and their limitations in daily activity, and self-reported daily activity/function. Results Our sample consists of 768 older adults with cancer, mean age 72 years, 60% female, and 90% White. Mean scores for HRQOL: FACT-G (85, range: 25–108), PROMIS-physical (48, range: 16–67) and, PROMIS-mental (51, range: 21–67). In multivariable models, Black race, one or more comorbid conditions, and Gastrointestinal cancer (p < .05), and patient- reported decreased levels of activities/function were all independently associated with poor HRQOL (p < .0001). Conclusions Older Black adults with cancer, those that have high comorbidity burden, with gastrointestinal cancers and those that report decreased ability to participate in daily activities/function reported poorer HRQOL. As geriatric oncology moves towards trying to identify who may need supportive services, this study demonstrated that a one question patient-reported level of activities and functional ability were independently associated with physical, mental, and cancer-specific HRQOL.

Adult cancer survivors are significantly more likely to report being in fair or poor health, have comorbidities, one or more limitations in activities of daily living, and poorer functional status when compared with similar age adults without a cancer diagnosis. Occupational therapy is specifically designed to evaluate and treat functional deficits, yet it remains underused in cancer care.

Muscle mass (measured as SMI) was poorly associated with a GA-based frailty index. Muscle density, which reflects muscle lipid content, was more associated with frailty. Although frailty and loss of muscle mass are both age-related conditions that are predictive of adverse outcomes, our results suggest they are separate entities.

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