Understanding health outcome preferences of older adults diagnosed with multiple myeloma.

INTRODUCTION: Health outcome preferences of older adults with cancer vary based on burden/intensity of treatment and its impact on health outcomes such as survival, quality of life, and functional and cognitive well-being. We studied the association between age and health outcome preferences of adults with multiple myeloma (MM). MATERIALS AND METHODS: Using a single center prospective cohort study, we identified adults ≥50y with MM who underwent geriatric assessment (GA) within 30 days of initiating a new line of therapy. We assessed health outcome preferences using a nine-item health outcome preference scale where patients were asked to prioritize varying treatment outcomes in a Likert scale. We compared the response patterns for each item by age group (50-69y vs ≥70y) using Mantel-Haenszel chi-squared test. For items significant in bi-variable analysis, we built proportional odds models to study the association between age and health outcome preferences adjusting for sex, race, frailty, and high risk cytogenetics. RESULTS: We included 119 patients with a median age of 65y. Of these, 58% were male, 56% were non-Hispanic White, and 28% were frail. Older adults (≥70y) versus younger adults (50-69y) were more likely to prioritize health outcomes such as quality of life (53% vs. 34%), functional independence (74% vs. 33%), maintaining cognitive ability (79% vs. 54%), and living free from pain (50% vs 18%) over longer survival (all p values <0.05). In multivariable models, each one interquartile range (IQR) increase in age was associated with increased odds of prioritization of functional independence [adjusted odds ratio (aOR) 2.55, 95% confidence interval (CI) (1.44-4.53)], maintaining cognitive ability [aOR 1.75, 95% CI (1.01-3.02)], and willingness to take milder/ fewer treatments [aOR 2.40, 95% CI (1.36-4.26)] over longer survival. Similarly, each IQR increase in age was associated with decreased odds of prioritization of survival over quality of life [aOR 0.45, 95% CI (0.26-0.78)] and survival over being free from pain [aOR 0.39, 95% CI (0.22-0.69)]. DISCUSSION: Three out of four older adults (age ≥ 70y) with MM rated other outcomes, particularly functional and cognitive well-being, above survival. Determining the most significant treatment outcomes for older adults with MM can aid in establishing treatment goals and enhance shared decision-making.

Geriatric Oncology: A 5-Year Strategic Plan.

The increasing rate of the older adult population across the world over the next 20 years along with significant developments in the treatment of oncology will require a more granular understanding of the older adult population with cancer. The ASCO Geriatric Oncology Community of Practice (COP) herein provides an outline for the field along three fundamental pillars: education, research, and implementation, inspired by ASCO's 5-Year Strategic Plan. Fundamental to improving the understanding of geriatric oncology is research that intentionally includes older adults with clinically meaningful data supported by grants across all career stages. The increased knowledge base that is developed should be conveyed among health care providers through core competencies for trainees and continuing education for practicing oncologists. ASCO's infrastructure can serve as a resource for fellowship programs interested in acquiring geriatric oncology content and provide recommendations on developing training pathways for fellows interested in pursuing formalized training in geriatrics. Incorporating geriatric oncology into everyday practice is challenging as each clinical setting has unique operational workflows with barriers that limit implementation of valuable geriatric tools such as Geriatric Assessment. Partnerships among experts in quality improvement from the ASCO Geriatric Oncology COP, the Cancer and Aging Research Group, and ASCO's Quality Training Program can provide one such venue for implementation of geriatric oncology through a structured support mechanism. The field of geriatric oncology must continue to find innovative strategies using existing resources and partnerships to address the pressing needs of the older adult population with cancer to improve patient outcomes.

Geriatric assessment-identified impairments and frailty in adults with cancer younger than 65: An opportunity to optimize oncology care.

INTRODUCTION: Frailty, a state of increased vulnerability to stressors due to aging or treatment-related accelerated aging, is associated with declines in physical, cognitive and/or social functioning, and quality of life for cancer survivors. For survivors aged <65 years, little is known about frailty status and associated impairments to inform intervention. We aimed to evaluate the prevalence of frailty and contributing geriatric assessment (GA)-identified impairments in adults aged <65 versus ≥65 years with cancer. MATERIALS AND METHODS: This study is a secondary analysis of clinical trial data (NCT04852575). Participants were starting a new line of systemic therapy at a community-based oncology private practice. Before starting treatment, participants completed an online patient-reported GA and the Physical Activity (PA) Vital Sign questionnaire. Frailty score and category were derived from GA using a validated deficit accumulation model: frail (>0.35), pre-frail (0.2-0.35), or robust (0-0.2). PA mins/week were calculated, and participants were coded as either meeting/not-meeting guidelines (≥90 min/week). We used Spearman (ρ) correlation to examine the association between age and frailty score and chi-squared/Fisher's-exact or ANOVA/Kruskal-Wallis statistic to compare frailty and PA outcomes between age groups. RESULTS: Participants (n = 96) were predominantly female (62%), Caucasian (68%), beginning first-line systemic therapy (69%), and 1.75 months post-diagnosis (median). Most had stage III to IV disease (66%). Common cancer types included breast (34%), gastrointestinal (23%), and hematologic (15%). Among participants <65, 46.8% were frail or pre-frail compared to 38.7% of those ≥65. There was no association between age and frailty score (ρ = 0.01, p = 0.91). Between age groups, there was no significant difference in frailty score (p = 0.95), the prevalence of frailty (p = 0.68), number of GA impairments (p = 0.33), or the proportion meeting PA guidelines (p = 0.72). However, older adults had more comorbid conditions (p = 0.03) and younger adults had non-significant but clinically relevant differences in functional ability, falls, and PA level. DISCUSSION: In our cohort, the prevalence of frailty was similar among adults with cancer <65 when compared to those older than 65, however, types of GA impairments differed. These results suggest GA and the associated frailty index could be useful to identify needs for intervention and inform clinical decisions during cancer treatment regardless of age. Additional research is needed to confirm our findings.

Body composition and late-occurring chronic health conditions after autologous stem cell transplantation for lymphoma.

BACKGROUND: Autologous peripheral blood stem cell transplantation (aPBSCT) is the standard of care for adults with relapsed lymphoma, yet recipients remain at risk of developing chronic health conditions (CHCs). It was hypothesized that body composition measurements of skeletal muscle and fat are associated with late-onset CHCs and nonrelapse mortality after aPBSCT. METHODS: Leveraging the Blood or Marrow Transplant Survivor Study, we examined association between pre-aPBSCT body composition and new-onset grade 3-5 CHCs among 187 adults with lymphoma treated with aPBSCT (2011-2014) surviving ≥2 years after aPBSCT. Using computed tomography scans at the L3 level, skeletal muscle mass (skeletal muscle area and skeletal muscle density [SMD]) and body fat (subcutaneous adipose tissue and visceral adipose tissue) were measured and quantified as sex-specific z-scores. Competing risk models were built to study the impact of body composition on incident grade 3 through 5 CHCs and nonrelapse mortality (NRM) adjusting for confounders. RESULTS: The study cohort had a median age at aPBSCT of 57 years with 63% males, 77% non-Hispanic Whites and 81% with non-Hodgkin lymphoma. The 5-year cumulative incidence of grade 3 through 5 CHCs was 47% (95% Confidence Interval, CI, 38%-56%). Each SD increase in SMD was associated with 30% reduced risk of grade 3 through 5 CHCs (95% CI, 0.50-0.96). The 10-year cumulative incidence of NRM was 16% (95% CI, 10-22). No body composition measure was associated with NRM. CONCLUSIONS: The association between SMD and grade 3 through 5 CHCs following aPBSCT could inform development of prognostic models to identify adults with lymphoma at greatest risk of morbidity following aPBSCT.

Low skeletal muscle mass and treatment outcomes among adults with haematologic malignancies: A systematic review and meta-analysis.

BACKGROUND: Low skeletal muscle mass (LSMM) and/or, function associated with an increased risk of treatment-related toxicities and inferior overall survival (OS) among adults with solid malignancies. However, the association between LSMM and treatment-related toxicities among adults with haematologic malignancies remains unclear. METHODS: Using a pre-published protocol (CRD42020197814), we searched seven bibliographic databases from inception to 08/2021 for studies reporting the impact of LSMM among adults ≥18 years with a known haematologic malignancy. The primary outcome of interest was OS, and secondary outcomes included progression free survival (PFS) and non-relapse mortality (NRM). These effect sizes were quantified in terms of hazards ratio (HR) along with 95% confidence interval (CI) and pooled across studies using a DerSimonian-Laird random-effects model. Heterogeneity was assessed using the Cochran's Q and the I2 statistic. All hypothesis testing was two-sided with an alpha of 0.05. RESULTS: Of 3791 studies screened, we identified 20 studies involving 3468 patients with a mean age of 60 years; 44% were female and the most common malignancy was diffuse large B-cell lymphoma (42%). Most studies measured muscle mass using single slice computed tomography imaging at the L3 level. The presence of LSMM was associated with worse OS (pooled HR = 1.81, 95% CI = 1.48-2.22, P < 0.001) with moderate heterogeneity (Cochran's Q, I2 = 60.4%), PFS (pooled HR = 1.61, 95% CI = 1.28-2.02, P < 0.001) with moderate heterogeneity (Cochran's Q, I2 = 66.0%). Similarly, LSMM was associated with worse NRM (HR = 1.72, 95% CI = 1.34-2.22, P < 0.001) with little evidence of heterogeneity (Cochran's Q, I2 = 0.0%). CONCLUSIONS: LSMM is associated with worse survival outcomes among adults with haematologic malignancies. Further research into understanding the underlying mechanism of this association and mitigating the negative effects of LSMM among adults with haematologic malignancies is needed.

Racial differences in body composition and survival among older adults with gastrointestinal malignancies.

INTRODUCTION: Muscle and adipose tissue measures can be quantified from routinely obtained computed tomography (CT) images and are predictors of chemotherapy-related toxicities and survival among patients with gastrointestinal (GI) malignancies. Most studies to date have consisted of predominantly White patients, and the role of body composition among minoritized racial groups is unknown. We examined racial differences in body composition and survival among patients with GI malignancies. MATERIALS AND METHODS: This was a prospective cohort study of patients with GI malignancies. Single slices of axial CT images from L3 segments were analyzed using Slice-O-Matic software. The skeletal muscle area (cm2) was divided by height to obtain the skeletal muscle index (SMI, cm2/m2). Skeletal muscle radiodensity (SMD) in Hounsfield units (HU) was used for muscle composition. We compared body composition parameters between non-Hispanic (NH)-White and NH-Black participants. Cox models were used to examine the impact of body composition on survival. We proposed new race-specific cutoffs for body composition using optimal stratification. RESULTS: Five hundred forty patients were included, of which 24% were NH-Black. In Cox models stratified by race, each 5 cm2/m2 decrease in SMI was associated with increase in risk of all-cause mortality in NH-Black patients (hazard ratio [HR] 1.25; 95% confidence interval [CI] 1.04-1.49 p = 0.02). With the existing cut points, neither sarcopenia nor myosteatosis was associated with worse survival. Using a new cutoff for sarcopenia in NH-Black patients, NH-Black patients with sarcopenia (HR 2.31 95%CI 1.10-4.88 p = 0.03) and myosteatosis (HR 2.63 95% CI 1.25-5.53 p = 0.01) had worse survival. DISCUSSION: NH-Black older patients with GI cancers and sarcopenia or myosteatosis have worse overall survival.

The association between food access and frailty among older adults with gastrointestinal malignancies-The CARE Registry.

BACKGROUND: Food access is associated with higher gastrointestinal (GI) cancer mortality; however, its association with frailty, which is a predictor of premature mortality among older adults with cancer, is less understood. METHODS: The authors included 880 adults aged 60 years and older who were recently diagnosed with GI cancers and were undergoing self-reported geriatric assessment at their first prechemotherapy visit to the University of Alabama at Birmingham oncology clinic. Food access was measured using the 2019 US Department of Agriculture Economic Research Service designation low-income, low-access (LILA), classifying census tracts based on income and/or access to food stores at various distances. The primary outcome was frailty on the CARE (Cancer and Aging Resilience Evaluation) Frailty Index, a composite of the proportion of impaired geriatric assessment measures. The authors examined the LILA-frailty association with modified Poisson regression accounting for census-tract clustering. RESULTS: The median patient age was 69 years, 58.1% were men, 22.5% were non-Hispanic Black, 29.2% had colorectal cancer, 28.0% had pancreatic cancer, 70.1% presented with stage III/IV disease, and 34.9% were frail. A higher proportion in LILA areas were non-Hispanic Black (44.1% vs. 10.8%; p < .001) and had less education (high school or less: 48.1% vs. 37.9%; p = .020). Adjusting for age, race and ethnicity, sex, cancer type and stage, and education, an LILA designation was associated with 58% greater odds of worsening frailty status (95% confidence interval, 1.18-2.12). An analysis of LILA subcategories revealed that associations were maintained across all LILA measures. CONCLUSIONS: Poor food access was associated with a greater risk of frailty among newly diagnosed older adults with GI cancers before they received systemic treatment. Intervening on local food access, particularly in LILA areas, may be a target for improving rates of frailty and promoting health equity in this population.

Long-term multimorbidity trajectories in older adults: The role of cancer, demographics, and health behaviors.

BACKGROUND: Multimorbidity is associated with premature mortality and excess health care costs. The burden of multimorbidity is highest among patients with cancer, yet trends and determinants of multimorbidity over time are poorly understood. METHODS: Via Medicare claims linked to Cancer Prevention Study II data, group-based trajectory modeling was used to compare National Cancer Institute comorbidity index score trends for cancer survivors and older adults without a cancer history. Among cancer survivors, multinomial logistic regression analyses evaluated associations between demographics, health behaviors, and comorbidity trajectories. RESULTS: In 82,754 participants (mean age, 71.6 years [SD, 5.1 years]; 56.9% female), cancer survivors (n = 11,265) were more likely than older adults without a cancer history to experience the riskiest comorbidity trajectories: (1) steady, high comorbidity scores (remain high; odds ratio [OR], 1.36; 95% CI, 1.29-1.45), and (2) high scores that increased over time (start high and increase; OR, 1.51; 95% CI, 1.38-1.65). Cancer survivors who were physically active postdiagnosis were less likely to fall into these two trajectories (OR, 0.73; 95% CI, 0.64-0.84, remain high; OR, 0.42; 95% CI, 0.33-0.53, start high and increase) compared to inactive survivors. Cancer survivors with obesity were more likely to have a trajectory that started high and increased (OR, 2.83; 95% CI, 2.32-3.45 vs. normal weight), although being physically active offset some obesity-related risk. Cancer survivors who smoked postdiagnosis were also six times more likely to have trajectories that started high and increased (OR, 6.86; 95% CI, 4.41-10.66 vs. never smokers). CONCLUSIONS: Older cancer survivors are more likely to have multiple comorbidities accumulated at a faster pace than older adults without a history of cancer. Weight management, physical activity, and smoking avoidance postdiagnosis may attenuate that trend.

Cardiovascular adverse events in patients with hepatocellular carcinoma receiving vascular endothelial growth factor inhibitors.

BACKGROUND: Vascular endothelial growth factor inhibitors, including tyrosine kinase inhibitors (TKIs) and anti-angiogenics, are first-line therapies for advanced and metastatic hepatocellular carcinoma. Although TKIs have a greater potential for off-target adverse effects compared with bevacizumab (anti-angiogenics), a direct comparison of the risk of cardiovascular adverse events between these two types of therapies has not been performed. OBJECTIVE: To compare the incidence of and characterize cardiovascular adverse events in patients with hepatocellular carcinoma receiving TKIs versus bevacizumab. METHODS: This cohort study included adult patients with hepatocellular carcinoma who received first-line TKIs (sorafenib or lenvatinib) or bevacizumab at two academic medical centers and one community cancer center from September 2018 to August 2021. The primary outcome was risk of cardiovascular adverse events. Major secondary outcomes included the incidence of individual types of cardiovascular adverse events and risk factors associated with major adverse cardiovascular events (MACE). RESULTS: The study included 221 patients (159 TKI patients; 62 bevacizumab patients). At a median follow-up of 5 months, the probability of cardiovascular adverse events was not significantly different between the two groups (hazard ratio [HR]: 0.85; 95% confidence interval [95% CI]: 0.58-1.24; p = 0.390). The cumulative incidence of cardiovascular events was highest in patients receiving lenvatinib (sub-distribution hazard ratio [SHR]: 1.53; 95% CI: 1.02-2.30) compared with those receiving sorafenib (reference) or bevacizumab (SHR: 1.05; 95% CI: 0.68-1.64) after adjustment for comorbidities, liver transplant status, and presence of portal vein thrombosis at baseline. Cardiovascular adverse events were observed in 151 (68%) patients, and MACE were observed in 27 (12%) patients. Risk factors associated with MACE were hypertension (SHR: 3.5; 95% CI: 0.9087-15.83; p = 0.086), prior history of MACE (SHR: 2.01; 95% CI: 0.83-4.87; p = 0.124), and tobacco use (SHR: 2.85; 95% CI: 0.90-8.97; p = 0.074). CONCLUSIONS: Cardiovascular risk was not significantly different between TKIs and bevacizumab. Lenvatinib appears to have the highest risk of cardiovascular adverse events among these first-line VEGF inhibitors.

Geriatric Assessment Impairment Profiles and Mortality in Older Adults with Gastrointestinal Cancers: Latent Class Analysis of the CARE Registry.

BACKGROUND: Many older adults with cancer have ≥2 impairments on geriatric assessment which impacts present and future frailty status, treatment tolerability, and outcomes. Our objective was to identify and describe distinct geriatric assessment impairment classes using latent class analysis (LCA) in older patients with gastrointestinal malignancies and assess 1-year mortality. METHODS: We used the Cancer & Aging Resilience Evaluation (CARE) Study, a registry of older adults (≥60 years) at University of Alabama at Birmingham. The analytic cohort included patients with gastrointestinal malignancies who completed a self-administered geriatric assessment (CARE tool) before chemotherapy and had ≥1 geriatric assessment impairment. Thirteen geriatric assessment impairments were used as indicators in LCA. Resultant classes were described, mortality was estimated, and risk contrasts (differences, hazard ratios) were calculated with 95% confidence intervals. For comparison, estimates were provided for frailty categories (robust, pre-frail, frail) determined from 44 items in the CARE tool. Stratified analyses included high-risk (pancreatic, hepatobiliary, esophageal) vs. low-risk gastrointestinal cancers, and stage (IV vs. I-III). RESULTS: Six geriatric assessment impairment classes were identified: Mild impairment (LC1); Social support impairment (LC2); Weight loss alone (LC3); Impaired, low anxiety/depression (LC4); Impaired with anxiety/depression (LC5); Global impairment (LC6). One-year mortality was 14%, 22%, 29%, 34%, 50% and 50% for LC1-LC6, respectively. For frailty categories, estimates ranged from 18% (robust) to 40% (frail). In stratified analyses, LC4-LC6 consistently had higher mortality estimates compared to LC1. CONCLUSIONS: The 6 geriatric assessment impairment classes showed a wider spread of mortality estimates compared to frailty categories and could be used to identify vulnerable patients and to plan interventions.

Restricted life-space mobility impacts physical but not mental quality of life in older cancer survivors.

BACKGROUND: Older cancer survivors often value quality of life (QOL) over survival. Life-space mobility (LSM), defined as the individual's spatial geographic mobility range, is an important QOL indicator in older adults with chronic illnesses; however, this relationship is unexplored in older cancer survivors. METHODS: We examined the longitudinal associations and causal relationships between LSM and QOL in 153 older cancer survivors (≥65 years) from the University of Alabama at Birmingham (UAB) Study of Aging. LSM was assessed using the UAB Life-Space Assessment-Composite score (LSA-C), and QOL was assessed by the SF-12 Mental Component Score (MCS12) and Physical Component Score (PCS12) at 0 (study entry), 6, 18, 36, 54, and 72 months. We examined the causal relationship between LSM and QOL using a cross-lagged panel model (CLPM). RESULTS: The cohort (n = 153) was 76 years old on average and predominantly White (58%), female (58%), and married (55%). Longitudinal analyses found LSM decreased over time (p < 0.0001), and this decrease was associated with decreased QOL (PCS12, p < 0.0001, MCS12, p < 0.0001). In the CLPM causal analysis, lower LSM resulted in worse PCS12 (p < 0.001), but not worse MSC12. CONCLUSIONS: Restricted LSM resulted in worse physical QOL over 72 months in a sample of 153 older cancer survivors. Developing and evaluating interventions to preserve greater LSM could be a promising approach to improving QOL.

Management of Older Adults With Colorectal Cancer: The Role of Geriatric Assessment.

Older adults share a growing burden of cancer morbidity and mortality. This is present across the spectrum of oncologic diagnoses and is particularly true with colorectal cancer (CRC), where older adults continue to share the burden of diagnoses. However, optimal cancer treatment decision making in older adults remains a significant challenge, as the majority of previous clinical trials shaping the current treatment landscape have focused on younger patients, often with more robust performance status and fewer medical comorbid conditions. The heterogeneous aging process of older adults with CRC necessitates a personalized treatment approach, as approximately three-quarters of older adults with CRC also have a concominant geriatric syndrome and more than half of older adults with CRC are pre-frail or frail. Treatment decisions shoud be multifaceted, including consultation with the patient and their familes regarding their wishes, with consideration of the patient's quality of life, functional status, medical comorbid conditions, social support, and treatment toxicity risk. Geriatric assessment is a systematic and validated approach to assess an older adults's potential strengths and vulnerabilities, which can in turn be used to assist with comprehensive cancer care planning and support. In this review, we will summarize current treatment approaches for older adults with CRC, with a particular focus on the incorporation of the geriatric assessment.

SARC-F as a screening tool to detect computed tomography-based sarcopenia and myosteatosis among older adults with cancer.

BACKGROUND: The European Working Group on Sarcopenia in Older People (EWGSOP) recommends SARC-F as a tool for identifying sarcopenia among older adults. However, the role of SARC-F among older adults with cancer remains unexplored. We aimed to evaluate the diagnostic utility of SARC-F to identify those with sarcopenia, or low muscle mass (using skeletal muscle index [SMI]), and myosteatosis (using skeletal muscle density [SMD]) from computed tomography (CT) imaging and the association of SARC-F with all-cause mortality. METHODS: Older adults (≥60 years) presenting for initial consultation at UAB medical oncology clinic who underwent geriatric assessment were enrolled in a prospective cohort study. We identified study participants who completed SARC-F screening and had available CT imaging within 60 days of study enrollment. Using single-slice CT images at the L3 vertebral level, we computed SMI and SMD using published methods. Sarcopenia and myosteatosis were defined using published cutpoints. We calculated the sensitivity and specificity of SARC-F for detecting low muscle mass and low muscle density using published thresholds. Finally, we computed the impact of SARC-F and CT measures on overall survival using Kaplan-Meier curves and Cox regression models, after adjusting for age, sex, cancer type, and cancer stage. RESULTS: We identified 212 older adults with a median age of 68.8 years; with 60.8% males, 76.6% whites, and pancreatic cancer (21.2%) being the most common malignancy. In the overall cohort, 30.7% had abnormal SARC-F using published cutpoints. SARC-F ≥ 4 had a sensitivity of 35% and a specificity of 76% to identify low muscle mass. SARC-F ≥ 4 had a sensitivity of 38% and a specificity of 74% to identify low muscle density. Those with SARC-F ≥ 4 and low SMI/SMD had worse survival compared to those with low SMI/SMD alone. Incorporating SARC-F improved survival prognostication beyond SMI and SMD (HR = 3.1; p < 0.001; Harrel's C from 0.73 to 0.76). CONCLUSIONS: SARC-F as a screening tool has limited diagnostic utility for identifying older adults with low muscle mass and/or density. However, SARC-F retains prognostic value independent of CT-based muscle measures in predicting mortality among older adults with cancer.

Implementation of the Web-Enabled Cancer & Aging Resilience Evaluation (WeCARE) in an outpatient oncology setting.

INTRODUCTION: Although geriatric assessments (GAs) are recommended for use in older adults with cancer, their integration into oncology practice remain suboptimal. Here, we report our experience integrating web-enabled GA (WeCARE) into oncology practice as an augmented delivery method and provider interface format to overcome implementation barriers. MATERIALS AND METHODS: Older patients (≥60 years) with a gastro-intestinal (GI) malignancy presenting for an initial visit to medical oncology clinic at a single institution between December 7, 2021 and October 10, 2022 were contacted by staff two days in advance of their visits and sent a link to the WeCARE GA, rather than the paper version used previously. Results were directly embedded into the medical record. We describe our initial implementation outcomes and the results of a provider usability survey. RESULTS: Of 266 eligible patients, 221 (83.1%) were successfully contacted by telephone and 200 (75.2%) completed the WeCARE prior to their appointment. More than one phone call was required to make contact for 35.7% of patients, with a mean duration of phone conversation of 2.8 min. Most patients preferred email delivery to text (63% vs 31%); 4.5% were unable to access surveys due to inadequate technology, and 25.7% brought up additional logistical concerns. Among GI oncology providers surveyed, all six found the WeCARE tool and dashboard acceptable, appropriate, and feasible. However, only a third of providers often or always used the dashboard to inform treatment decisions and guide interventions. DISCUSSION: With nearly three-quarters of patients completing the WeCARE prior to their visits with minimal staff support and time required, this method of administration may be a viable format to overcome barriers to GA implementation. Additional work is needed to integrate the results meaningfully into clinical practice.

Anxiety is Associated With Geriatric Assessment Impairments and Reduced Quality of Life Among Older Adults With Colorectal Cancer: Results From the CARE Registry.

BACKGROUND: Colorectal cancer (CRC) preferentially affects older adults. Modifiable factors, such as anxiety, can be measured as part of cancer-specific geriatric assessments (GA) completed prior to the start of treatment. We hypothesized that anxiety is prevalent among older adults with CRC and is associated with increased depression, increased frailty, and impaired health-related quality of life (HRQOL). PATIENTS AND METHODS: Patients ≥60 years old with newly diagnosed CRC completed a cancer-specific GA called the Cancer and Aging Resilience Evaluation (CARE). Between September 2017 and February 2023, we analyzed patients with CRC who had not yet received any systemic treatment. Anxiety was assessed using the Patient-Reported Outcomes Measurement Information System (PROMIS) Anxiety 4-item short form and reported as t-scores. We used modified Poisson models with robust variance estimation to assess for differences in the prevalence of depression, frailty, and impaired HRQOL. RESULTS: We analyzed 277 older adults with CRC. The median age of the study sample was 68 years. 57% were male, 72% were non-Hispanic White, and most had advanced CRC (35% stage III and 39% stage IV). Moderate/severe anxiety was present in 17% of older adults with newly diagnosed CRC. In adjusted models, as compared to patients without moderate/severe anxiety, patients with moderate/severe anxiety had significantly increased risk of depression (prevalence ratio [PR] 7.60, CI 4.90-11.78), frailty (PR 4.93, CI 3.01-8.07), impaired physical HRQOL (PR 3.57, CI 2.03-6.28), and impaired mental HRQOL (PR 3.82, CI 2.12-6.89). CONCLUSION: Among older adults with CRC, anxiety is associated with increased depression and frailty as well as reduced HRQOL.

Understanding Causes of Inferior Outcomes in Adolescents and Young Adults With Cancer.

Individuals diagnosed with cancer as adolescents and young adults (AYAs; ages 15-39 years) face unique vulnerabilities. Compared with individuals diagnosed when younger (≤14 years) or older (≥40 years), AYAs have not seen the same improvement in survival. Furthermore, they sit at a complex moment of social, emotional, and cognitive development, and have a unique interface with the healthcare system. With these observations, NCI prioritized addressing the unique vulnerabilities among AYAs with cancer, and NCCN developed guidelines regarding optimal AYA cancer care. Improvements in certain locales have been seen in the wake of this focus on AYAs, suggesting that continuing to consider AYA outcomes in the context of their specific needs is critical as we strive toward additional improvements. However, it is key to consider the drivers of these outcomes to continue this trajectory. This review presents a holistic conceptual model that includes factors that influence outcomes among AYAs with cancer, including domains in these levels that influence both clinical outcomes (such as relapse and survival) and health-related quality of life (HRQoL). These include domains at the patient level, such as social constructs (race/ethnicity, socioeconomic status), behavior (adherence, risk-taking), biologic characteristics (cancer biology, host genetics), medical treatment (treatment regimen, risk-based survivorship care), and treatment-related toxicities. The model also includes domains at the system level, which include treatment location (NCI designation, facility model, AYA program presence), clinical trial enrollment, transdisciplinary communication, fertility preservation, and psychosocial support. Recognizing these multiple factors at the level of the individual and the healthcare system influence AYA outcomes (from HRQoL to survival), it is key not only to consider patient-level interventions and development of novel cancer agents but also to develop systems-level interventions that can be executed in parallel. In this way, the impact can be expanded to a vast number of AYAs.

Association of emotional support with quality of life, mental health, and survival in older adults with gastrointestinal malignancies-Results from the CARE registry.

BACKGROUND: Emotional support (ES) is the most frequently reported support need among older adults with cancer. Yet, the association of ES with cancer outcomes is largely unknown. This study examined the association of ES with health-related quality of life (HRQoL), mental health, and survival among older adults with gastrointestinal (GI) malignancies. METHODS: We included newly diagnosed older adults (≥60 years) with GI cancer undergoing self-reported geriatric assessment at their first clinic visit. ES was measured using an adaptation of the Medical Outcomes Study (dichotomized adequate ES vs. inadequate ES). Outcomes included physical and mental HRQoL, anxiety, depression, and survival. Multivariable linear regression evaluated the association between ES and HRQoL scores. Multivariable logistic regression evaluated the association of ES with anxiety and depression. All models were adjusted for age at geriatric assessments, race, sex, and cancer type/stage. RESULTS: 795 participants were included. Median patient age was 68 years (IQR: 64-74), 58% were male, and most cancers were either colorectal (37.9%) or pancreatic (30.8%). Most (77.6%) had adequate ES. Patients with inadequate ES were more likely to be Black (31.5 vs. 20.8%, p = 0.005), disabled (24.1 vs. 10.4%, p < 0.001), widowed/divorced (54.2 vs. 24.8%, p < 0.001) and had lower physical and mental HRQoL t-scores (Physical ß: -3.35, 95% CI: -5.25, -1.46; Mental ß: -2.46, 95% CI: -4.11, -0.81) and higher odds of depression (aOR: 2.22, CI: 1.34-3.69). This study found no difference between those with adequate ES versus inadequate ES in the proportion of deaths within 1 year of diagnosis (24.3% vs. 24.2%, p = 0.966), or within 2 years of diagnosis (32.4% vs. 33.2%, p = 0.126). CONCLUSIONS: Older adults with inadequate ES have worse physical and mental HRQoL and higher odds of depression compared to those with adequate ES.