Psychometric Properties of the Generalized Anxiety Disorder Scale (GAD-7) in Older Adults With Advanced Cancer.

OBJECTIVES: Over half of new cancer diagnoses occur in patients aged 65 or older, with up to 40% experiencing anxiety. The American Society of Clinical Oncology recommends using the Generalized Anxiety Disorder Scale (GAD-7) for anxiety screening, but the GAD-7 psychometric properties in this population are unknown. This study examined the GAD-7's reliability, validity, and item parameters, comparing its utility with the GAD-2 in older adults with cancer. METHODS: This cross-sectional secondary analysis of a nationwide multi-site two-arm cluster randomized trial in older adults (≥ 70) with advanced cancer. The GAD-7 was administered at baseline. Properties were evaluated with Cronbach's α, Pearson correlation coefficients, and a 2-parameter logistic model. Logistic regression models compared the GAD-2 and GAD-7. RESULTS: The sample included 718 participants (Mean age = 77, SD = 5) with mild anxiety (M = 3.74, SD = 4.74). Internal consistency was strong (Cronbach's alpha = 0.89) and item-total correlations ranged 0.53 to 0.78. Item 2 (Not being able to stop or control worrying) was the most discriminating and item 5 (Being so restless that it is hard to sit still) was least discriminating. Area Under the Curve (AUC) analyses demonstrated the GAD-2 had a 0.93-0.96 AUC. CONCLUSIONS: Establishing the psychometric properties of anxiety screening measures is crucial in the older adults with cancer to maximize referral efficiency and accuracy. This study indicates that the GAD-7 is reliable and valid for older adults with cancer. Analyses suggest the GAD-2 may be as sufficient as the GAD-7 in identifying anxiety in older adults with cancer, thereby reducing assessment burden.

Effect of polypharmacy and potentially inappropriate medications on physical functional decline among older adults with advanced cancer receiving systemic treatment.

BACKGROUND: Polypharmacy and potentially inappropriate medications (PIM) are common among older adults with advanced cancer, but their association with physical functional outcomes is understudied. This study aimed to estimate the risk of physical functional decline associated with medication measures in older adults with advanced cancer starting a new line of systemic treatment. METHODS: This secondary analysis of GAP 70+ Trial (PI: Mohile) enrolled patients aged 70+ with advanced cancer, had ≥ 1 geriatric assessment domain impairment and planned to start a new antineoplastic regimen with a high risk of toxicity. Polypharmacy (concurrent use of ≥ 8 medications (meds)) was assessed before initiation of treatment. PIM were categorized using Screening Tool of Older Person's Prescriptions (STOPP) criteria and 2019 Beers criteria. Physical functional outcomes were assessed within 3 months of treatment initiation: (1) Activity of Daily Living (ADL) decline: 1-point decrease in ADL score between baseline and 3 months; (2) Instrumental ADL (IADL) decline: 1-point decrease in IADL score between baseline and 3 months; (3) Short physical performance battery (SPPB) decline, defined as 1-point decrease on SPPB; (4) ≥ 1 falls within 3 months of treatment. Separate multivariable, cluster-weighted Generalized Estimating Equations models adjusted for relevant covariates (e.g., age, baseline function/comorbidities). RESULTS: Among 616 participants, mean number of meds was 6 (range 0-24); 28% received ≥ 8 meds. Polypharmacy was associated with increased risk of ADL decline (adjusted risk ratio [aRR], 1.31; 95% CI, 1.00-1.71). Taking ≥ 1 PIM per STOPP was associated with increased risk of IADL decline (aRR, 1.21; 95% CI, 1.04-1.40) and falls (aRR, 1.93; 95% CI, 1.49-2.51). CONCLUSIONS: In a large cohort of vulnerable older adults with advanced cancer receiving systemic treatment, polypharmacy and PIM were independently associated with an increased risk of physical functional decline. This emphasizes the need to develop interventions to optimize medication use, intending to improve outcomes in these patients. TRIAL REGISTRATION: ClinicalTrials.gov Identifier: NCT02054741. Registered 01-31-2014.

Associations of quality of social support and accurate beliefs about curability among older adults with advanced cancer.

INTRODUCTION: Supporting older adults with advanced cancer to better understand their disease and its prognosis is important for shared decision-making. Social support is a potentially modifiable factor that may influence disease understanding. In this study, we examined the associations of quantity and quality of social support with patients' beliefs about the curability of their advanced cancer. MATERIALS AND METHODS: We performed a secondary analysis of a cluster-randomized trial that recruited older adults aged ≥70 with advanced incurable cancer. At enrollment, patients completed the Older Americans Resources and Services (OARS) Medical Social Support form that measures both quantity (number of close friends and relatives) and quality of social support. Quality of social support was measured using 12 questions in instrumental and emotional support, each ranging from 1 (none of the time) to 5 (all of the time). Higher cumulative scores indicated greater quality of support. For beliefs about curability, patients were asked, "What do you believe are the chances that your cancer will go away and never come back with treatment?" Responses were 0 %, <50 %, 50/50, >50 %, and 100 %. Ordinal logistic regression was used to investigate the association of quantity and quality of social support with beliefs about curability, adjusting for potential confounders. RESULTS: We included 347 patients; mean age was 76.4 years and 91 % were white. Quantity of social support was not associated with belief in curability [adjusted odds ratio (AOR) 1.03, 95 % confidence interval (CI) (0.92, 1.16)]. For every unit increase in the quality of social support (OARS Medical Social Support score), the odds of believing in curability decreased by 26.7 % [AOR 0.73, 95 % CI (0.56, 0.97)]. DISCUSSION: Our study demonstrated that the quality, but not the quantity, of social support was associated with patients' beliefs about curability. These findings suggest that bolstering social support may directly enhance disease understanding. This insight informs supportive care interventions that specifically address disease comprehension among patients.

Deletion of miR-33, a regulator of the ABCA1-APOE pathway, ameliorates neuropathological phenotypes in APP/PS1 mice.

INTRODUCTION: Rare variants in ABCA1 increase the risk of developing Alzheimer's disease (AD). ABCA1 facilitates the lipidation of apolipoprotein E (apoE). This study investigated whether microRNA-33 (miR-33)-mediated regulation of this ABCA1-APOE pathway affects phenotypes of an amyloid mouse model. METHODS: We generated mir-33+/+;APP/PS1 and mir-33-/-;APP/PS1 mice to determine changes in amyloid pathology using biochemical and histological analyses. We used RNA sequencing and mass spectrometry to identify the transcriptomic and proteomic changes between our genotypes. We also performed mechanistic experiments by determining the role of miR-33 in microglial migration and amyloid beta (Aß) phagocytosis. RESULTS: Mir-33 deletion increases ABCA1 levels and reduces Aß accumulation and glial activation. Multi-omics studies suggested miR-33 regulates the activation and migration of microglia. We confirm that the inhibition of miR-33 significantly increases microglial migration and Aß phagocytosis. DISCUSSION: These results suggest that miR-33 might be a potential drug target by modulating ABCA1 level, apoE lipidation, Aß level, and microglial function. HIGHLIGHTS: Loss of microRNA-33 (miR-33) increased ABCA1 protein levels and the lipidation of apolipoprotein E. Loss of miR-33 reduced amyloid beta (Aß) levels, plaque deposition, and gliosis. mRNAs and proteins dysregulated by miR-33 loss relate to microglia and Alzheimer's disease. Inhibition of miR-33 increased microglial migration and Aß phagocytosis in vitro.

Efficacy of Fluoxetine and (R,S) Ketamine in Attenuating Conditioned Fear Behaviors in Male Mice.

Post-traumatic stress disorder (PTSD) is caused by exposure to a traumatic or stressful event. Symptoms related to this disorder include persistent re-experiencing of memories and fear generalization. Current pharmacological treatments for PTSD are insufficient, with fewer than 30% of patients reporting symptom remission. This study aims to determine the efficacy of acute (R,S) ketamine and chronic fluoxetine (FLX) in reducing fear memory and fear generalization. In rodents, fear conditioning (FC) is commonly used in the literature to induce behaviors related to symptoms of PTSD, and the open field test (OFT) can assess anxiety and fear generalization behaviors during the exploration of a novel environment. In this study, FC consisted of a white noise cue stimulus and four inescapable foot shocks. Treatments began 4 hours after FC. Fear and anxiety behaviors were recorded during re-exposure to the FC stimuli at 24 hours and 2 weeks. The OFT was conducted one day before the last FC re-exposure. Results support the combined use of acute ketamine and chronic FLX as a treatment for reducing behaviors indicative of fear memory during re-exposure at 2 weeks, but not behaviors indicative of anxiety and fear generalization in the OFT. FLX alone was most effective in reducing behaviors related to fear generalization. This study contributes to the existing literature on pharmacological treatment for fear and anxiety behaviors relating to fear memory and fear generalization. Continued research is necessary to replicate results, optimize treatment protocols, and investigate the molecular adaptations to trauma and treatment. Significance Statement Up to 6% of people in the United States will develop PTSD within their lifetime, and less than half of those individuals will find relief from their symptoms given the current therapeutic options. This study offers preliminary support for the efficacy of ketamine and FLX in reducing PTSD-like behaviors induced by fear-conditioning in mice. Compared to current standard treatments, results indicate the potential for a more effective therapeutic option for those with stress-related disorders, such as PTSD.

Engagement, Acceptability, and Effectiveness of the Self-Care and Coach-Supported Versions of the Vira Digital Behavior Change Platform Among Young Adults at Risk for Depression and Obesity: Pilot Randomized Controlled Trial.

BACKGROUND: Adolescence and early adulthood are pivotal stages for the onset of mental health disorders and the development of health behaviors. Digital behavioral activation interventions, with or without coaching support, hold promise for addressing risk factors for both mental and physical health problems by offering scalable approaches to expand access to evidence-based mental health support. OBJECTIVE: This 2-arm pilot randomized controlled trial evaluated 2 versions of a digital behavioral health product, Vira (Ksana Health Inc), for their feasibility, acceptability, and preliminary effectiveness in improving mental health in young adults with depressive symptoms and obesity risk factors. METHODS: A total of 73 participants recruited throughout the United States were randomly assigned to use Vira either as a self-guided product (Vira Self-Care) or with support from a health coach (Vira+Coaching) for 12 weeks. The Vira smartphone app used passive sensing of behavioral data related to mental health and obesity risk factors (ie, activity, sleep, mobility, and language patterns) and offered users personalized insights into patterns of behavior associated with their daily mood. Participants completed self-reported outcome measures at baseline and follow-up (12 weeks). All study procedures were completed via digital communications. RESULTS: Both versions of Vira showed strong user engagement, acceptability, and evidence of effectiveness in improving mental health and stress. However, users receiving coaching exhibited more sustained engagement with the platform and reported greater reductions in depression (Cohen d=0.45, 95% CI 0.10-0.82) and anxiety (Cohen d=0.50, 95% CI 0.13-0.86) compared to self-care users. Both interventions also resulted in reduced stress (Vira+Coaching: Cohen d=-1.05, 95% CI -1.57 to --0.50; Vira Self-Care: Cohen d=-0.78, 95% CI -1.33 to -0.23) and were perceived as useful and easy to use. Coached users also reported reductions in sleep-related impairment (Cohen d=-0.51, 95% CI -1.00 to -0.01). Moreover, participants increased their motivation for and confidence in making behavioral changes, with greater improvements in confidence among coached users. CONCLUSIONS: An app-based intervention using passive mobile sensing to track behavior and deliver personalized insights into behavior-mood associations demonstrated feasibility, acceptability, and preliminary effectiveness for reducing depressive symptoms and other mental health problems in young adults. Future directions include (1) optimizing the interventions, (2) conducting a fully powered trial that includes an active control condition, and (3) testing mediators and moderators of outcome effects. TRIAL REGISTRATION: ClinicalTrials.gov NCT05638516; https://clinicaltrials.gov/study/NCT05638516.

Women and opioid use disorder treatment: A scoping review of experiences, use of patient-reported experience measures, and integration of person-centred care principles.

BACKGROUND: Patient-reported experience measures (PREMs) are an important aspect of assessing and improving women's experiences of person-centred care during treatment for Opioid Use Disorder (OUD). This scoping review aimed to 1) examine the extent, type, and characteristics of evidence regarding women's OUD treatment experiences, and 2) describe the extent to which PREMs and person-centred care principles are incorporated within research methods. METHODS: Following Joanna Briggs Institute guidelines and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR), we conducted a scoping review to identify peer-reviewed articles on women's OUD treatment experiences. Data were extracted from 39 included studies and synthesised based on study design, method of assessment/analysis (including use of PREMs), key findings, and the integration of person-centred care principles. RESULTS: Analysis of included studies revealed a predominance of qualitative research focused on women's experiences of pharmacological OUD treatment (methadone and/or buprenorphine) in Western countries. Women in these studies reported predominantly negative or mixed experiences of treatment. Few studies used validated PREMs and there was a lack of direct assessment or focus on recognised person-centred care principles. However, common categories of outcomes/findings identified in results across studies broadly aligned with person-centred care principles (e.g., fast access to reliable healthcare, effective treatment by trusted professionals), emphasising their applicability to women's experiences of treatment. CONCLUSIONS: Although there has been an increased focus on women's experiences of treatment for OUD in recent years, results highlighted room for improvement regarding the systematic and comprehensive assessment of women's experiences across different contexts. Given the often negative or mixed experiences reported by women, an increased focus on assessing service provision through a person-centred care lens (including utilising PREMs) may allow for service improvements or adaptations targeted towards the needs and experiences of women.

Predictors of alcohol and other drug treatment completion among young people accessing residential and community-based treatment: A retrospective analysis of routinely collected service data.

BACKGROUND AND AIMS: Young people accessing alcohol and other drug (AOD) treatment experience high rates of treatment disengagement, contributing to poorer outcomes. To improve outcomes, it is important to identify factors associated with treatment retention. This study measured the relationships between client characteristics, treatment characteristics, clinical severity measures and completion of treatment among young people. DESIGN, SETTING AND PARTICIPANTS: This study was a retrospective analysis of routinely collected data set in residential- and community-based AOD services in New South Wales, Australia. Routinely collected data from the Network of Alcohol and Other Drug Agencies' (NADA) database were used. Included individuals were aged 10-24 years and accessed treatment between 2012 and 2023 (n = 17 474). MEASUREMENTS: Variables included client-related characteristics, service characteristics and baseline measures of clinical severity [Kessler-10 (K10), EUROHIS-QoL, severity of dependence scale (SDS)]. Multivariable binary logistic regression models assessed the relationships between these characteristics and treatment completion. FINDINGS: Rates of treatment completion were highest among adolescents in community-based treatment (57%) and lowest among young adults in residential treatment (35%). Polysubstance use was negatively associated with treatment completion among adolescents [adjusted odds ratio (adjOR) = 0.71, P < 0.001] and adults (adjOR = 0.70, P < 0.001) in community-based treatment, and adolescents in residential treatment (adjOR = 0.62, P = 0.006), as was housing insecurity (adolescents in community treatment, adjOR = 0.61, P = 0.001; adults in community treatment, adjOR = 0.77, P = 0.002; adolescents in residential treatment, adjOR = 0.42, P = 0.005). Attending youth-specific services was associated with higher treatment completion rates among adults in community-based (adjOR = 1.81, P < 0.001) and residential treatment (adjOR = 1.72, P < 0.001). Varying correlates of treatment completion were identified throughout treatment groups, reflecting the differences in population and/or needs across contexts. CONCLUSIONS: In New South Wales, Australia, fewer than half of young people accessing alcohol and other drug treatment between 2012 and 2023 completed treatment, and completion rates were lower among those facing barriers such as polysubstance use and housing insecurity.

Systematic review of treatment completion rates and correlates among young people accessing alcohol and other drug treatment.

BACKGROUND AND AIMS: Treatment completion is associated with improved alcohol and other drug (AOD) treatment outcomes. Unfortunately, treatment disengagement is common, particularly among young people. We reviewed and synthesised research on AOD treatment completion and/or early disengagement among young people. METHODS: We conducted a systematic review and meta-analysis of studies reporting on completion rates and/or early disengagement from psychosocial AOD treatment among adolescents and young adults. An overall estimated treatment completion rate was calculated using inverse-variance random effects meta-analysis, and random-effects meta-regression was used to identify between-study level moderators of completion rate. We completed a narrative review summarising literature on early treatment disengagement and within-study level correlates of treatment completion. Study quality was assessed using the EPHPP. RESULTS: Of the 6158 studies screened, we retained 410 for full text review and included 98 studies in the review. Treatment completion rates were reported in 88 studies, and early disengagement rates were reported in 13. The estimated overall treatment completion rate was 59 % (95 % CI=57-61 %), with experimental studies reporting higher rates of completion than observational studies. There was limited evidence for demographic or substance-related correlates of treatment completion. Contingency management was associated with increased completion rates, as was family-based intervention. CONCLUSIONS: Disengagement from AOD treatment among youth populations is common and contributes to poor treatment outcomes. Existing research has yielded little consensus on the factors associated with treatment completion. The use of contingency management strategies and involving family/social supports in treatment were identified as potential avenues for promoting ongoing treatment engagement.

Primary Treatment Modification and Treatment Tolerability Among Older Chemotherapy Recipients With Advanced Cancer.

Importance: Older adults with advanced cancer are less likely to tolerate treatment with cytotoxic chemotherapy compared with younger patients due to their aging-related conditions. Hence, oncologists sometimes opt to employ primary treatment modifications (deviation from standard of care) during the first cycle of chemotherapy. Objective: To examine the association between primary treatment modification and treatment tolerability in older adults with advanced cancer who were starting new palliative chemotherapy regimens. Design, Setting, and Participants: This cohort study was a secondary analysis of the GAP70+ (Geriatric Assessment Intervention for Reducing Toxicity in Older Patients with Advanced Cancer) trial, which was conducted between July 2014 and March 2019. The GAP70+ trial included patients aged 70 years or older who had advanced (ie, incurable) cancer, had 1 or more geriatric assessment domain impairments, and planned to start a new palliative chemotherapy regimen. Data analysis was conducted in November 2022. Exposures: Receipt of standard-of-care chemotherapy regimens vs primary treatment modification defined as any change from National Comprehensive Cancer Network guidelines or published clinical trials (eg, primary dose reduction, schedule change). Main Outcomes and Measures: Tolerability outcomes were assessed within 3 months of treatment. These outcomes included the following: (1) any grade 3 to 5 toxic effect, according to the National Cancer Institute Common Terminology Criteria for Adverse Events; (2) patient-reported functional decline, defined as the development of worse dependency in activities of daily living using scale scores; and (3) a composite adverse outcome (an end point that combined toxic effects, functional decline, and 6-month overall survival). Multivariable cluster-weighted generalized estimating equation models examined the association between primary treatment modification and outcomes adjusting for covariates. Results: This study included 609 patients with a mean (SD) age of 77.2 (5.2) years; more than half (333 [54.7%]) were men. Race and ethnicity was available for 607 patients: 39 (6.4%) were Black, 539 (88.5%) were non-Hispanic White, and 29 (4.8%) were of other race or ethnicity. Nearly half (281 [46.1%]) received a primary modified treatment regimen. The most common cancer types were gastrointestinal cancer (228 [37.4%]) and lung cancer (174 [28.6%]). In multivariable analysis, primary treatment modification was associated with a reduced risk of grade 3 to 5 toxic effects (relative risk [RR], 0.85 [95% CI, 0.77-0.94]) and functional decline (RR, 0.80 [95% CI, 0.67-0.95]). Patients who received primary treatment modification had 32.0% lower odds of having a worse composite adverse outcome (odds ratio, 0.68 [95% CI, 0.48-0.97]). Conclusions and Relevance: In this cohort study, primary treatment modification was associated with improved tolerability of chemotherapeutic regimens among older adults with advanced cancer and aging-related conditions. These findings may help optimize cancer treatment dosing in older adults with advanced cancer and aging-related conditions.

Modifiable fall risk factors among older adults with advanced cancer: Secondary analysis of a cluster-randomized clinical trial.

INTRODUCTION: Older adults with cancer have unique fall risk factors related to their disease and treatment such as polypharmacy and neurotoxic treatments. In this secondary analysis, we identified modifiable risk factors associated with future falls among older adults with advanced cancers. MATERIALS AND METHODS: Data were from the COACH study (ClinicalTrials.gov: NCT02107443; PI: Mohile). Patients were age ≥ 70, had stage III/IV solid tumor or lymphoma, ≥1 geriatric assessment impairment, and were receiving palliative intent treatment. Falls were self-reported at baseline (in the past six months), four to six weeks, three months, and six months. We generated inverse probability weights to account for mortality-related loss to follow-up and applied these in generalized linear mixed models to estimate incidence rate ratios. RESULTS: Of 541 patients (mean age: 77, standard deviation [SD]: 5.27), 140 (26%) reported prior falls at baseline, and 467 (86%) had falls data for ≥1 follow-up timepoint. Of those, 103 (22%) reported at least one fall during the follow-up period, and 112 (24%) had incomplete follow-up due to death. In fully adjusted models, prior falls and impaired Timed Up and Go score were associated with higher incidence of falls over 6 months. DISCUSSION: We identified several potentially modifiable fall risk factors in older adults with advanced cancers. Future studies should consider ways to integrate fall risk assessment into ongoing cancer care and intervene to reduce falls in this population.

An Unsupervised Machine Learning Approach to Evaluating the Association of Symptom Clusters With Adverse Outcomes Among Older Adults With Advanced Cancer: A Secondary Analysis of a Randomized Clinical Trial.

Importance: Older adults with advanced cancer who have high pretreatment symptom severity often experience adverse events during cancer treatments. Unsupervised machine learning may help stratify patients into different risk groups. Objective: To evaluate whether clusters identified from baseline patient-reported symptom severity were associated with adverse outcomes. Design, Setting, and Participants: This secondary analysis of the Geriatric Assessment Intervention for Reducing Toxicity in Older Patients With Advanced Cancer (GAP70+) Trial (2014-2019) included patients who completed the National Cancer Institute Patient-Reported Outcomes version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE) before starting a new cancer treatment regimen and received care at community oncology sites across the United States. An unsupervised machine learning algorithm (k-means with Euclidean distance) clustered patients based on similarities of baseline symptom severities. Clustering variables included severity items of 24 PRO-CTCAE symptoms (range, 0-4; corresponding to none, mild, moderate, severe, and very severe). Total severity score was calculated as the sum of 24 items (range, 0-96). Whether the clusters were associated with unplanned hospitalization, death, and toxic effects was then examined. Analyses were conducted in January and February 2022. Exposures: Symptom severity. Main Outcomes and Measures: Unplanned hospitalization over 3 months (primary), all-cause mortality over 1 year, and any clinician-rated grade 3 to 5 toxic effect over 3 months. Results: Of 718 enrolled patients, 706 completed baseline PRO-CTCAE and were included (mean [SD] age, 77.2 [5.5] years, 401 [56.8%] male patients; 51 [7.2%] Black and 619 [87.8%] non-Hispanic White patients; 245 [34.7%] with gastrointestinal cancer; 175 [24.8%] with lung cancer; mean [SD] impaired Geriatric Assessment domains, 4.5 [1.6]). The algorithm classified 310 (43.9%), 295 (41.8%), and 101 (14.3%) into low-, medium-, and high-severity clusters (within-cluster mean [SD] severity scores: low, 6.3 [3.4]; moderate, 16.6 [4.3]; high, 29.8 [7.8]; P < .001). Controlling for sociodemographic variables, clinical factors, study group, and practice site, compared with patients in the low-severity cluster, those in the moderate-severity cluster were more likely to experience hospitalization (risk ratio, 1.36; 95% CI, 1.01-1.84; P = .046). Moderate- and high-severity clusters were associated with a higher risk of death (moderate: hazard ratio, 1.31; 95% CI, 1.01-1.69; P = .04; high: hazard ratio, 2.00; 95% CI, 1.43-2.78; P < .001), but not toxic effects. Conclusions and Relevance: In this study, unsupervised machine learning partitioned patients into distinct symptom severity clusters; patients with higher pretreatment severity were more likely to experience hospitalization and death. Trial Registration: ClinicalTrials.gov Identifier: NCT02054741.

External Validation of Risk Factors for Unplanned Hospitalization in Older Adults With Advanced Cancer Receiving Chemotherapy.

BACKGROUND: Older adults (age ≥65 years) receiving chemotherapy are at risk for hospitalization. Predictors of unplanned hospitalization among older adults receiving chemotherapy for cancer were recently published using data from a study conducted by the Cancer and Aging Research Group (CARG). Our study aimed to externally validate these predictors in an independent cohort including older adults with advanced cancer receiving chemotherapy. METHODS: This validation cohort included patients (n=369) from the GAP70+ trial usual care arm. Enrolled patients were aged ≥70 years with incurable cancer and were starting a new line of chemotherapy. Previously identified risk factors proposed by the CARG study were ≥3 comorbidities, albumin level <3.5 g/dL, creatinine clearance <60 mL/min, gastrointestinal cancer, ≥5 medications, requiring assistance with activities of daily activities (ADLs), and having someone available to take them to the doctor (ie, presence of social support). The primary outcome was unplanned hospitalization within 3 months of treatment initiation. Multivariable logistic regression was applied including the 7 identified risk factors. Discriminative ability of the fitted model was performed by calculating the area under the receiver operating characteristic (AUC) curve. RESULTS: Mean age of the cohort was 77 years, 45% of patients were women, and 29% experienced unplanned hospitalization within the first 3 months of treatment. The proportions of hospitalized patients with 0-3, 4-5, and 6-7 identified risk factors were 24%, 28%, and 47%, respectively (P=.04). Impaired ADLs (odds ratio, 1.76; 95% CI, 1.04-2.99) and albumin level <3.5 g/dL (odds ratio, 2.23; 95% CI, 1.37-3.62) were significantly associated with increased odds of unplanned hospitalization. The AUC of the model, including the 7 identified risk factors, was 0.65 (95% CI, 0.59-0.71). CONCLUSIONS: The presence of a higher number of risk factors was associated with increased odds of unplanned hospitalization. This association was largely driven by impairment in ADLs and low albumin level. Validated predictors of unplanned hospitalization can help with counseling and shared decision-making with patients and their caregivers. CLINICALTRIALS: gov identifier: NCT02054741.

Association of polypharmacy and potential drug-drug interactions with adverse treatment outcomes in older adults with advanced cancer.

BACKGROUND: Polypharmacy is common in older adults who are starting cancer treatment and is associated with an increased risk of potentially inappropriate medications (PIMs) and potential drug-drug interactions (PDIs). The authors evaluated the association of medication measures with adverse outcomes in older adults with advanced cancer who were receiving systemic therapy. METHODS: This secondary analysis from GAP 70+ Trial (ClinicalTrials.gov identifier NCT02054741; principal investigator, Supriya G. Mohile) enrolled patients aged 70 years and older with advanced cancer who planned to start a new treatment regimen (n = 718). Polypharmacy was assessed before the initiation of treatment and was defined as the concurrent use of eight or more medications. PIMs were categorized using 2019 Beers Criteria and the Screening Tool of Older Persons' Prescriptions. PDIs were evaluated using Lexi-Interact Online. Study outcomes were assessed within 3 months of treatment and included: (1) the number of grade ≥2 and ≥3 toxicities according to the National Cancer Institute Common Toxicity Criteria, (2) treatment-related unplanned hospitalization, and (3) early treatment discontinuation. Multivariable regression models examined the association of medication measures with outcomes. RESULTS: The mean patient age was 77 years, and 57% had lung or gastrointestinal cancers. The median number of medications was five (range, 0-24 medications), 28% of patients received eight or more medications, 67% received one or more PIM, and 25% had one or more major PDI. The mean number of grade ≥2 toxicities in patients with polypharmacy was 9.8 versus 7.7 in those without polypharmacy (adjusted ß = 1.87; standard error, 0.71; p <.01). The mean number of grade ≥3 toxicities in patients with polypharmacy was 2.9 versus 2.2 in patients without polypharmacy (adjusted ß = 0.59; standard error, 0.29; p = .04). Patients with who had one or more major PDI had 59% higher odds of early treatment discontinuation (odds ratio, 1.59; 95% confidence interval, 1.03-2.46; p = .03). CONCLUSIONS: In a cohort of older adults with advanced cancer, polypharmacy and PDIs were associated with an increased risk of adverse treatment outcomes. Providing meaningful screening and interventional tools to optimize medication use may improve treatment-related outcomes in these patients.

The role of self-perceived age in older adults considering adjuvant chemotherapy.

INTRODUCTION: Aging-related concerns can increase the risk of treatment toxicities among older adults considering adjuvant chemotherapy. We previously demonstrated that older adults with cancer who reported feeling older than their chronological age (i.e., self-perceived age) were more likely to have aging-related concerns identified during a geriatric assessment. We explored how decisions about adjuvant chemotherapy vary with or are related to older adults' self-perceived age. MATERIALS AND METHODS: We conducted a secondary analysis of a multi-phased feasibility pilot using semi-structured interviews that were conducted to explore the patient decision-making process for adjuvant chemotherapy. Interviews incorporated questions about chronological and perceived age as factors for decision-making. Patient eligibility for the study included (1) age ≥ 70 years and older, (2) a diagnosis of breast, colon, or lung cancer and considering adjuvant chemotherapy, and (3) able to read size 18 font in English. Interview data were analyzed using constant comparative method. RESULTS: Twenty-one patients were enrolled. The mean chronological age was 78 years (range 71-91). The average perceived age of patients was 57 years (range 21-80). Eleven patients chose to receive treatment while ten patients did not. Aging-related themes illustrated that self-perceived age plays an important role when patients make decisions about adjuvant chemotherapy. More specifically, patients who reported their self-perceived age as younger than their chronological age also reported better perceived health status and chose to receive adjuvant chemotherapy. DISCUSSION: Patients' experiences of aging and self-perceived age may have different implications for decision-making.

Effects of a Geriatric Assessment Intervention on Patient-Reported Symptomatic Toxicity in Older Adults With Advanced Cancer.

PURPOSE: Providing a geriatric assessment (GA) summary with management recommendations to oncologists reduces clinician-rated toxicity in older patients with advanced cancer receiving treatment. This secondary analysis of a national cluster randomized clinical trial (ClinicalTrials.gov identifier: NCT02054741) aims to assess the effects of a GA intervention on symptomatic toxicity measured by Patient-Reported Outcomes Common Terminology Criteria for Adverse Events (PRO-CTCAE). METHODS: From 2014 to 2019, the study enrolled patients age ≥ 70 years, with advanced solid tumors or lymphoma and ≥ 1 GA domain impairment, who were initiating a regimen with high prevalence of toxicity. Patients completed PRO-CTCAEs, including the severity of 24 symptoms (11 classified as core symptoms) at enrollment, 4-6 weeks, 3 months, and 6 months. Symptoms were scored as grade ≥ 2 (at least moderate) and grade ≥ 3 (severe/very severe). Symptomatic toxicity was determined by an increase in severity during treatment. A generalized estimating equation model was used to assess the effects of the GA intervention on symptomatic toxicity. RESULTS: Mean age was 77 years (range, 70-96 years), 43% were female, and 88% were White, 59% had GI or lung cancers, and 27% received prior chemotherapy. In 706 patients who provided PRO-CTCAEs at baseline, 86.1% reported at least one moderate symptom and 49.7% reported severe/very severe symptoms at regimen initiation. In 623 patients with follow-up PRO-CTCAE data, compared with usual care, fewer patients in the GA intervention arm reported grade ≥ 2 symptomatic toxicity (overall: 88.9% v 94.8%, P = .035; core symptoms: 83.4% v 91.7%, P = .001). The results for grade ≥ 3 toxicity were comparable but not significant (P > .05). CONCLUSION: In the presence of a high baseline symptom burden, a GA intervention for older patients with advanced cancer reduces patient-reported symptomatic toxicity.

Communication About Fall Risk in Community Oncology Practice: The Role of Geriatric Assessment.

PURPOSE: Falls are a modifiable source of morbidity for older adults with cancer, yet are underassessed in oncology practice. In this secondary analysis of a nationwide cluster-randomized controlled trial, we examined characteristics associated with patient-oncologist conversations about falls, and whether oncologist knowledge of geriatric assessment (GA) resulted in more conversations. METHODS: Eligible patients (ClinicalTrials.gov identifier: NCT02107443) were age ≥ 70 years, had stage III/IV solid tumor or lymphoma, were being treated with noncurative treatment intent, and ≥ 1 GA domain impairment. Patients in both arms underwent GA. At practices randomly assigned to the intervention arm, oncologists were provided a GA summary with management recommendations. In both arms, patients had one clinical encounter audio-recorded, transcribed, and coded to categorize whether a conversation about falls occurred. Generalized linear mixed models adjusted for arm, practice site, and other important covariates were used to generate proportions and odds ratios (ORs) from the full sample. RESULTS: Of 541 patients (intervention N = 293 and usual care N = 248, mean age: 77 years, standard deviation: 5.3), 528 had evaluable audio recordings. More patients had conversations about falls in the intervention versus usual care arm (61.3% v 10.3%, P < .001). Controlling for the intervention and practice site, history of falls (OR, 2.1; 95% CI, 1.3 to 3.6; P = .005) and impaired physical performance (OR, 4.7; 95% CI, 1.7 to 12.8; P = .002) were significantly associated with patient-oncologist conversations about falls. CONCLUSION: GA intervention increased conversations about falls. History of falls and impaired physical performance were associated with patient-oncologist conversations about falls in community oncology practice.

Using Geriatric Assessment to Guide Conversations Regarding Comorbidities Among Older Patients With Advanced Cancer.

PURPOSE: Older patients with advanced cancer often have comorbidities that can worsen their cancer and treatment outcomes. We assessed how a geriatric assessment (GA)-guided intervention can guide conversations about comorbidities among patients, oncologists, and caregivers. METHODS: This secondary analysis arose from a nationwide, multisite cluster-randomized trial (ClinicalTrials.gov identifier: NCT02107443). Eligible patients were ≥ 70 years, had advanced cancer (solid tumors or lymphoma), and had impairment in at least one GA domain (not including polypharmacy). Oncology practices (n = 30) were randomly assigned to usual care or intervention. All patients completed a GA; in the intervention arm, a GA summary with recommendations was provided to their oncologist. Patients completed an Older Americans Resources and Services Comorbidity questionnaire at screening. The clinical encounter following GA was audio-recorded, transcribed, and coded for topics related to comorbidities. Linear mixed models examined the effect of the intervention on the outcomes adjusting for practice site as a random effect. RESULTS: Patients (N = 541) were 76.6 ± 5.2 years old; 94.6% of patients had at least one comorbidity with an average of 3.2 ± 1.9. The intervention increased the average number of conversations regarding comorbidities per patient from 0.52 to 0.99 (P < .01). Moreover, there were a greater number of concerns acknowledged (0.52 v 0.32; P = .03) and there was a 2.4-times higher odds of having comorbidity concerns addressed via referral, handout, or other modes (95% CI, 1.3 to 4.3; P = .004). Most oncologists in the intervention arm (76%) discussed comorbidities in light of the treatment plan, and 41% tailored treatment plans. CONCLUSION: Providing oncologists with a GA-guided intervention enhanced communication regarding comorbidities.