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IntroductionFunctional outcomes during non-small cell lung cancer (NSCLC) treatment are critically important to older adults. Yet, data on physical function and which measures best capture functional change remain limited.Materials and methodsThis multisite, mixed methods cohort study recruited adults ≥65 years with advanced NSCLC starting systemic treatment (i.e., chemotherapy, immunotherapy, and/or targeted therapy) with non-curative intent. Participants underwent serial geriatric assessments prior to starting treatment and at one, two, four, and six months, which included the Karnofsky Performance Scale (KPS, range: 0-100%), instrumental activities of daily living (IADL, range: 0-14), European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Physical Functioning subscale (EORTC QLQ-C30 PF, range: 0-100), and Life-Space Assessment (LSA, range: 0-120). For all measures, higher scores represent better functioning. In a qualitative substudy, 20 patients completed semi-structured interviews prior to starting treatment and at two and six months to explore how treatment affected their daily functioning. We created joint displays for each interview participant that integrated their longitudinal KPS, IADL, EORTC QLQ-C30 PF, and LSA scores with patient quotes describing their function.ResultsAmong 87 patients, median age was 73 years (range 65-96). Mean pretreatment KPS score was 79% (standard deviation [SD] 13), EORTC QLQ-C30 PF was 69 (SD 23), and LSA was 67 (SD 28); median IADL was 13 (interquartile range [IQR] 10-14). At two months after treatment initiation, 70% of patients experienced functional decline on at least one measure, with only 13% of these patients recovering at six months. At two and six months, decline in LSA was the most common (48% and 35%, respectively). Joint displays revealed heterogeneity in how well each quantitative measure of physical function captured the qualitative patient experience.DiscussionFunctional decline during NSCLC treatment is common among older adults. LSA is a useful measure to detect subtle functional decline that may be missed by other measures. Given heterogeneity in how well each quantitative measure captures changes in physical function, there is value to including more than one functional measure in geriatric oncology research studies.

INTRODUCTION: Disparities in care of older adults in cancer treatment trials and emergency department (ED) use exist. This report provides a baseline description of older adults ≥65 years old who present to the ED with active cancer. MATERIALS AND METHODS: Planned secondary analysis of the Comprehensive Oncologic Emergencies Research Network observational ED cohort study sponsored by the National Cancer Institute. Of 1564 eligible adults with active cancer, 1075 patients were prospectively enrolled, of which 505 were ≥ 65 years old. We recruited this convenience sample from eighteen participating sites across the United States between February 1, 2016 and January 30, 2017. RESULTS: Compared to cancer patients younger than 65 years of age, older adults were more likely to be transported to the ED by emergency medical services, have a higher Charlson Comorbidity Index score, and be admitted despite no significant difference in acuity as measured by the Emergency Severity Index. Despite the higher admission rate, no significant difference was noted in hospitalization length of stay, 30-day mortality, ED revisit or hospital admission within 30 days after the index visit. Three of the top five ED diagnoses for older adults were symptom-related (fever of other and unknown origin, abdominal and pelvic pain, and pain in throat and chest). Despite this, older adults were less likely to report symptoms and less likely to receive symptomatic treatment for pain and nausea than the younger comparison group. Both younger and older adults reported a higher symptom burden on the patient reported Condensed Memorial Symptom Assessment Scale than to ED providers. When treating suspected infection, no differences were noted in regard to administration of antibiotics in the ED, admissions, or length of stay ≤2 days for those receiving ED antibiotics. DISCUSSION: We identified several differences between older (≥65 years old) and younger adults with active cancer seeking emergency care. Older adults frequently presented for symptom-related diagnoses but received fewer symptomatic interventions in the ED suggesting that important opportunities to improve the care of older adults with cancer in the ED exist.

BackgroundMaintenance of function during cancer treatment is important to older adults. Characteristics associated with pretreatment life-space mobility and changes during non-small cell lung cancer (NSCLC) treatment remain unknown.MethodsThis mixed methods cohort study recruited adults age ≥65 with advanced NSCLC starting palliative chemotherapy, immunotherapy, and/or targeted therapy from a Comprehensive Cancer Center, Veterans Affairs, and safety-net clinic. Patients completed geriatric assessments including Life-Space Assessment (LSA) pretreatment and at 1, 2, 4, and 6 months after treatment initiation. LSA scores range from 0 to 120 (greater mobility); LSA

Introduction: Tumor genomic testing (TGT) is standard‐of‐care for most patients with advanced/metastatic cancer. Despite established guidelines, patient education prior to TGT is frequently omitted. The purpose of this study was to evaluate the impact of a concise 4 min video for patient education prior to TGT. Methods: Based on a quality improvement cycle, an animated video was created to be applicable to any cancer type, incorporating culturally diverse images, available in English and Spanish. Patients undergoing standard‐of‐care TGT were enrolled at a tertiary academic institution and completed survey instruments prior to video viewing (T1) and immediately post‐viewing (T2). Instruments included: (1) 10‐question objective genomic knowledge; (2) 10‐question video message‐specific knowledge; (3) 11‐question Trust in Provider; (4) attitudes regarding TGT. Results: A total of 150 participants were enrolled. For the primary objective, there was a significant increase in video message‐specific knowledge (median 10 point increase; p < 0.0001) with no significant change in genomic knowledge/understanding (p = 0.89) or trust in physician/provider (p = 0.59). Results for five questions significantly improved, including the likelihood of TGT impact on treatment decision, incidental germline findings, and cost of testing. Improvement in video message‐specific knowledge was consistent across demographic groups, including age, income, and education. Conclusions: A concise, 3–4 min, broadly applicable video incorporating culturally diverse images administered prior to TGT significantly improved video message‐specific knowledge across all demographic groups. This resource is publicly available at http://www.tumor‐testing.com, with a goal to efficiently educate and empower patients regarding TGT while addressing guidelines within the flow of clinical practice. [ABSTRACT FROM AUTHOR]

Purpose: Older adults with hematologic malignancies (HM) have unique challenges due to age and fitness. The primary aim of this pilot study was to benchmark the ability of multiple biomarkers of aging (p16, epigenetic clocks, T cell gene expression profiles, and T cell receptor excision circles (TREC) to identify frailty as measured by a clinical impairment index (I2) in patients with HM. Methods: 70 patients newly diagnosed with HM had peripheral blood T lymphocytes (PBTL) analyzed for p16INK4a expression using the OSU_Senescence Nanostring CodeSet. PBTL epigenetic age was measured using 7 epigenetic clocks, and TREC were quantified by qRT-PCR. A composite clinical impairment index (I2) was generated by combining values from 11 geriatric metrics (Independent Activities of Daily Living (iADL), physical health score, Short Physical Performance Battery (SPPB), Body Mass Index (BMI), Eastern Cooperative Oncology Group (ECOG) performance status, self-reported KPS, Blessed Orientation Memory Concentration (BOMC), polypharmacy, Mental Health Inventory (MHI)-17, Medical Outcomes Study (MOS) subscales). Clinical frailty was defined as a score of 7 or greater on the I2. Results: Age-adjusted p16INK4a was similar in newly diagnosed patients and healthy controls (p > 0.1). PBTL p16INK4a levels correlated positively with the Hannum [r = 0.35, 95% CI (0.09–0.75); p adj. = 0.04] and PhenoAge [r = 0.37, 95% CI (0.11–0.59); p adj. = 0.04] epigenetic clocks. The discrimination ability of the I2 model was calculated using the area under the receiver operating characteristic curve (AUC). After adjusting for chronologic age and disease group, baseline p16INK4a [AUC = 0.76, 95% CI (0.56–0.98); p = 0.01], Hannum [AUC = 0.70, 95% CI (0.54–0.85); p = 0.01], PhenoAge [AUC = 0.71, 95% CI (0.55–0.86); p = 0.01], and DunedinPACE [AUC = 0.73, 95% CI (0.57–0.88); p = < 0.01] measures showed the greatest potential to identify clinical frailty using the I2. Conclusions: Our pilot data suggest that multiple blood-based aging biomarkers have potential to identify frailty in older adults with HM. Implications for Cancer Survivors: We developed the I2 index to quantify impairments across geriatric domains and discovered that PBTL p16, Hannum, PhenoAge, and DunedinPACE are promising indicators of frailty in HM. [ABSTRACT FROM AUTHOR]

Background: Lung cancer screening (LCS) use among adults with disabilities has not been well characterized. We estimated the prevalence of LCS use by disability types and counts and investigated the association between disability counts and LCS utilization among LCS‐eligible adults. Methods: We used cross‐sectional data from the 2019 Behavioral Risk Factor Surveillance System, Lung Cancer Screening Module. Based on the 2013 US Preventive Services Task Force criteria for LCS, the sample included 4407 LCS‐eligible adults, aged 55–79 years, with current or former (quit smoking in the past 15 years) tobacco use history of at least 30 pack‐years. Disability types included limitations in hearing, vision, cognition, mobility, self‐care, and independent living. We also categorized respondents by number of disabilities (no disability, 1 disability, 2 disabilities, 3+ disabilities). We utilized descriptive statistics and multivariable logistic regression analyses to determine the association between disability counts and the receipt of LCS (yes/no) in the past 12 months. Results: In 2019, 16.4% of LCS‐eligible adults were screened for lung cancer. Overall, 49.6% of participants had no disability, and 14.5% had >3 disabilities. Mobility was the most prevalent disability type (35.4%), followed by cognitive impairment (18.2%) and hearing (16.6%). LCS was more prevalent in adults with disability in self‐care versus no disability in self‐care (24.0% vs. 15.5%, p = 0.01), disability in independent living versus no disability in independent living (22.2% vs. 15.4%, p = 0.02), and cognitive impairment disability versus no cognitive impairment (22.1% vs. 15.3%, p = 0.03). The prevalence rates of LCS among groups of LCS‐eligible adults with different disability counts were not significant (p = 0.17). Conclusions: Despite the lack of clinical guidelines on LCS among individuals with disabilities, some individuals with disabilities are being screened for lung cancer. Future research should address this knowledge gap to determine clinical benefit versus harm of LCS among those with disabilities. [ABSTRACT FROM AUTHOR]