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Background Chemotoxicity risk scores were developed to predict grade 3-5 chemotherapy toxicity in older women with early breast cancer. However, whether these toxicity risk scores are associated with clinically meaningful decline in patient health remains unknown. Methods In a prospective study of women aged 65 years and older with stage I-III breast cancer treated with chemotherapy, we assessed chemotoxicity risk using the Cancer and Aging Research Group-Breast Cancer (CARG-BC) score (categorized as low, intermediate, and high). We measured patient health status before (T1) and after (T2) chemotherapy using a clinical frailty index (Deficit Accumulation Index, categorized as robust, prefrail, and frail). The population of interest was robust women at T1. The primary outcome was decline in health status after chemotherapy, defined as a decline in Deficit Accumulation Index from robust at T1 to prefrail or frail at T2. Multivariable logistic regression was used to examine the association between T1 CARG-BC score and decline in health status, adjusted for sociodemographic and clinical characteristics. Results Of the 348 robust women at T1, 83 (24%) experienced declining health status after chemotherapy, of whom 63% had intermediate or high CARG-BC scores. After adjusting for sociodemographic and clinical characteristics, women with intermediate (odds ratio = 3.14, 95% confidence interval = 1.60 to 6.14, P Conclusions In this cohort of older women with early breast cancer, higher CARG-BC scores before chemotherapy were associated with decline in health status after chemotherapy independent of sociodemographic and clinical risk factors.

PURPOSE To examine longitudinal relationships between levels of C-reactive protein (CRP) and cognition in older breast cancer survivors and noncancer controls. METHODS English-speaking women age ≥ 60 years, newly diagnosed with primary breast cancer (stage 0-III), and frequency-matched controls were enrolled from September 2010 to March 2020; women with dementia, neurologic disorders, and other cancers were excluded. Assessments occurred presystemic therapy/enrollment and at annual visits up to 60 months. Cognition was measured using the Functional Assessment of Cancer Therapy-Cognitive Function and neuropsychological testing. Mixed linear effect models tested for survivor-control differences in natural log (ln)-transformed CRP at each visit. Random effect–lagged fluctuation models tested directional effects of ln-CRP on subsequent cognition. All models controlled for age, race, study site, cognitive reserve, obesity, and comorbidities; secondary analyses evaluated if depression or anxiety affected results. RESULTS There were 400 survivors and 329 controls with CRP specimens and follow-up data (average age of 67.7 years; range, 60-90 years). The majority of survivors had stage I (60.9%), estrogen receptor–positive (87.6%) tumors. Survivors had significantly higher adjusted mean ln-CRP than controls at baseline and 12-, 24-, and 60-month visits (all P < .05). Higher adjusted ln-CRP predicted lower participant-reported cognition on subsequent visits among survivors, but not controls ( P interaction = .008); effects were unchanged by depression or anxiety. Overall, survivors had adjusted Functional Assessment of Cancer Therapy-Cognitive Function scores that were 9.5 and 14.2 points lower than controls at CRP levels of 3.0 and 10.0 mg/L. Survivors had poorer neuropsychological test performance ( v controls), with significant interactions with CRP only for the Trails B test. CONCLUSION Longitudinal relationships between CRP and cognition in older breast cancer survivors suggest that chronic inflammation may play a role in development of cognitive problems. CRP testing could be clinically useful in survivorship care.

Preeclampsia (PE) is a condition that poses a significant risk of maternal mortality and multiple organ failure during pregnancy. Early prediction of PE can enable timely surveillance and interventions, such as low-dose aspirin administration. In this study, conducted at Stanford Health Care, we examined a cohort of 60 pregnant women and collected 478 urine samples between gestational weeks 8 and 20 for comprehensive metabolomic profiling. By employing liquid chromatography mass spectrometry (LCMS/MS), we identified the structures of seven out of 26 metabolomics biomarkers detected. Utilizing the XGBoost algorithm, we developed a predictive model based on these seven metabolomics biomarkers to identify individuals at risk of developing PE. The performance of the model was evaluated using 10-fold cross-validation, yielding an area under the receiver operating characteristic curve of 0.856. Our findings suggest that measuring urinary metabolomics biomarkers offers a noninvasive approach to assess the risk of PE prior to its onset.

BACKGROUND: Older adults are under-represented in cancer clinical trials. However, it remains unclear which types of trials under-enroll aging patients. We aimed to identify associations between trial characteristics and disparate enrollment of older adults onto trials sponsored by the Alliance for Clinical Trials in Oncology (Alliance). METHODS: Actual age ≥ 65 percentage and trial data were extracted from the Alliance closed study list. Each trial, based on its cancer type and years of enrollment, was assigned an expected age ≥ 65 percentage extracted from the Surveillance, Epidemiology, and End Results (SEER) US population-based database. Enrollment disparity difference (EDD), the difference between the expected age ≥ 65 percentage and the actual age ≥ 65 percentage, was calculated for each trial. Linear regression determined trial variables associated with larger EDDs and variables with an overall association p-value < 0.20 were included in a multivariable fixed-effects linear model. RESULTS: The median age of 66,708 patients across 237 trials was 60 years (range 18-102). The average actual age ≥ 65 percentage enrolled per trial was lower than each trial’s expected age ≥ 65 percentage average (39% vs. 58%; EDD 19, 95% CI 17.1-21.3%, p

Background Cognitive dysfunction after surgery is a major issue in older adults. Here, we determined the effect of APOE4 on perioperative neurocognitive function in older patients. Methods We enrolled 140 English-speaking patients ≥60 yr old scheduled for noncardiac surgery under general anaesthesia in an observational cohort study, of whom 52 underwent neuroimaging. We measured cognition; Aβ, tau, p-tau levels in CSF; and resting-state intrinsic functional connectivity in six Alzheimer's disease-risk regions before and 6 weeks after surgery. Results There were no significant APOE4-related differences in cognition or CSF biomarkers, except APOE4 carriers had lower CSF Aβ levels than non-carriers (preoperative median CSF Aβ [median absolute deviation], APOE4 305 pg ml−1 [65] vs 378 pg ml−1 [38], respectively; P=0.001). Controlling for age, APOE4 carriers had significantly greater preoperative functional connectivity than non-carriers between several brain regions implicated in Alzheimer's disease, including between the left posterior cingulate cortex and left angular gyrus (β [95% confidence interval, CI], 0.218 [0.137–0.230]; PFWE=0.016). APOE4 carriers, but not non-carriers, experienced significant connectivity decreases from before to 6 weeks after surgery between several brain regions including between the left posterior cingulate cortex and left angular gyrus (β [95% CI], –0.196 [–0.256 to –0.136]; PFWE=0.001). Most preoperative and postoperative functional connectivity differences did not change after controlling for preoperative CSF Aβ levels. Conclusions Postoperative change trajectories for cognition and CSF Aβ, tau or p-tau levels did not differ between community dwelling older APOE4 carriers and non-carriers. APOE4 carriers showed greater preoperative functional connectivity and greater postoperative decreases in functional connectivity in key Alzheimer's disease-risk regions, which occur via Aβ-independent mechanisms.

PURPOSE This study determined whether an electronic version of the geriatric assessment is feasible in a multi-institutional, diverse setting. METHODs Ten sites within the Alliance for Clinical Trials in Oncology participated. Patients who had active cancer or a history of cancer and were 65 years of age or older were eligible. The geriatric assessment was completed with an electronic data capture system that had been loaded onto iPads. Feasibility was defined a priori as completion in at least 70% of patients either with or without help. To enhance racial diversity, the original sample size was later changed and augmented by 50% with the intention of increasing enrollment of older minority patients. RESULTS A total of one hundred fifty-four patients were registered with a median age of 72 years (range, 65-91 years). Forty-three (28%) identified themselves as African American or Black. One hundred forty-one patients (92%) completed the electronic geriatric assessment. Feasibility was observed across all subgroups, regardless of race, education, performance status, comorbidities, and cognition; 124 patients (81%) completed the geriatric assessment without help. Reasons for not completing the geriatric assessment are as follows: clinic visit did not occur (n = 6), no iPad connection to the Internet (n = 3), patient declined (n = 2), prolonged hospitalization (n = 1), and patient died (n = 1). Reasons for needing help, as reported by study personnel, were as follows: the patient preferred that research personnel ask the questions (n = 9), vision problem (n = 3), lack of comfort with the iPad (n = 2), questions were not clear (n = 1), less proficient in English (n = 1), and challenge in pressing the green button to go to the next question (n = 1). CONCLUSION The electronic geriatric assessment is feasible in a multi-institutional setting that includes a notable proportion of African American or Black patients.

PURPOSE: Older cancer patients are susceptible to long-term effects of chemotherapy, including cancer-related cognitive decline and impairments to quality of life. Taxane-based chemotherapies are associated with physical declines among older women and may negatively impact cognitive performance. We sought to examine whether changes in objective and subjective measures of cognitive performance and well-being differ among older breast cancer survivors as a function of taxane-based chemotherapy treatment regimens. METHODS: Individual-level data was pooled and harmonized from two large prospective studies of older (greater than 60 years) breast cancer survivors. Assessments were conducted prior to systemic therapy and up to 36-months after. Cognitive performance was assessed with objective (working memory, processing speed and executive functions) and subjective tests and physical, emotional and functional well-being was also assessed. RESULTS: One hundred and sixty-seven (M age = 67.3 years) women, with 116 receiving chemotherapy with taxanes and 51 without taxanes contributed data. Declines in subjective cognition for both groups were significant between pre-treatment and 12-month follow-up. Significant improvements were seen on a measure of objective cognition (working memory) from 12 to 36-months. Measures of well-being improved from prior to systemic therapy to 12-months. Longitudinal changes across all measures did not vary as a function of receipt of taxane-based treatment. CONCLUSION: Older women who received treatment with taxanes did not have greater declines in cognitive performance or well-being than women receiving other chemotherapy regimens. Despite older cancer survivors being at greater risk for negative outcomes, treatment with taxane-based chemotherapies does not appear to exacerbate these health consequences.

PurposeOlder cancer survivors required medical care during the COVID-19 pandemic despite infection risks, but there are limited data on medical care in this age group. Methods. We evaluated care disruptions in a longitudinal cohort of non-metastatic breast cancer survivors ages 60-98 from five US regions (n=321). Survivors completed a web-based or telephone survey from May 27, 2020 to September 11, 2020. Care disruptions included self-reported interruptions in ability to see doctors, receive treatment or supportive therapies, or fill prescriptions. Logistic regression models evaluated bivariate and multivariate associations between care disruptions and education, medical, psychosocial and COVID-19-related factors. Multivariate models included age, county COVID-19 rates, comorbidity and post-diagnosis time. Results. There was a high response rate (n=262, 81.6%). Survivors were 32.2 months post-diagnosis (SD 17.5, range 4-73). Nearly half (48%) reported a medical disruption. The unadjusted odds of care disruptions were significantly higher with more education (OR 1.23 per one-year increase, 95% CI 1.09-1.39, p =0.001) and greater depression (OR 1.04 per one-point increase in CES-D score, CI 1.003-1.08, p=0.033); tangible support decreased the odds of disruptions (OR 0.99, 95% CI 0.97-0.99 per one-point increase, p=0.012). There was a trend for associations between disruptions and comorbidity (unadjusted OR 1.13 per 1 added comorbidity, 95% CI 0.99-1.29, p=0.07). Adjusting for covariates, only higher education (p=0.001) and tangible social support (p=0.006) remained significantly associated with having care disruptions. Conclusions. Older breast cancer survivors reported high rates of medical care disruptions during the COVID-19 pandemic and psychosocial factors were associated with care disruptions.

Introduction Treatment burden is emerging as an important patient-centered outcome for older adults with cancer who concurrently manage geriatric conditions. Our objective was to evaluate the contribution of geriatric conditions to treatment burden in older adults with non-muscle invasive bladder cancer (NMIBC). Methods We identified 73,395 Medicare beneficiaries age 66+ diagnosed with NMIBC (Stage Results At baseline, 64% had multimorbidity and median 3 conditions (IQR 0–5). Prevalence of other geriatric conditions ranged from 5.9%–15.2%. Adjusted mean health system contact was 8.9 days (95% CI 8.6–9.2). Multimorbidity had the largest effect size (adjusted mean 11.8 contact days (95% CI 8.3–8.8)). Each additional chronic condition conferred a 13% increased average number of health system contact (adjusted IRR 1.132, 95% CI 1.129–1.135). Regardless of number of chronic conditions, rural patients consistently had more treatment burden than urban counterparts. Discussion In this population-based cohort of older NMIBC patients, multimorbidity and rurality were strongly associated with treatment burden in the year following NMIBC diagnosis. These findings highlight the need for interventions that reduce treatment burden due to geriatric conditions among the growing population of older adults with cancer, particularly in rural areas.

The NCCN Guidelines for Older Adult Oncology address specific issues related to the management of cancer in older adults, including screening and comprehensive geriatric assessment (CGA), assessing the risks and benefits of treatment, preventing or decreasing complications from therapy, and managing patients deemed to be at high risk for treatment-related toxicity. CGA is a multidisciplinary, in-depth evaluation that assesses the objective health of the older adult while evaluating multiple domains, which may affect cancer prognosis and treatment choices. These NCCN Guidelines Insights focus on recent updates to the NCCN Guidelines providing specific practical framework for the use of CGA when evaluating older adults with cancer.

PURPOSE Older breast cancer survivors are at increased risk of clinical decline after adjuvant chemotherapy. This study aimed to evaluate whether inflammatory markers assessed before adjuvant chemotherapy are associated with chemotherapy-induced clinical decline in a population of fit older adults with breast cancer. METHODS In a prospective study of women age ≥ 65 years with stage I-III breast cancer treated with chemotherapy, we measured interleukin-6 (IL-6) and C-reactive protein (CRP) prechemotherapy (T1). We assessed frailty status, using a Deficit Accumulation Index (DAI; categorized as robust, prefrail, and frail), at T1 and postchemotherapy (T2). The population of interest was robust women at T1. The primary outcome was chemotherapy-induced decline in frailty status, defined as decline in DAI from robust (T1) to prefrail or frail (T2). Multivariable logistic regression was used to examine the association between inflammatory markers and the primary outcome, adjusted for sociodemographic and clinical characteristics. RESULTS Of the 295 robust women at T1, 76 (26%) experienced chemotherapy-induced decline in frailty status, among whom 66% had high IL-6, 63% had high CRP, and 46% had high IL-6 and CRP at T1. After adjusting for sociodemographic and clinical characteristics, women with high IL-6 and CRP had a > three-fold (odds ratio, 3.52; 95% CI, 1.55 to 8.01; P = .003) odds of chemotherapy-induced decline in frailty status compared with women with low IL-6 and CRP. CONCLUSION In this cohort of older women with early breast cancer who were clinically fit before chemotherapy initiation, high IL-6 and CRP prechemotherapy were associated with chemotherapy-induced decline in frailty status independent of sociodemographic and clinical risk factors. Further research is needed to examine whether inflammatory markers can inform more personalized approaches to treating older breast cancer survivors.

BackgroundKawasaki disease (KD) is the leading cause of acquired heart disease in children. The major challenge in KD diagnosis is that it shares clinical signs with other childhood febrile control (FC) subjects. We sought to determine if our algorithmic approach applied to a Taiwan cohort.MethodsA single center (Chang Gung Memorial Hospital in Taiwan) cohort of patients suspected with acute KD were prospectively enrolled by local KD specialists for KD analysis. Our previously single-center developed computer-based two-step algorithm was further tested by a five-center validation in US. This first blinded multi-center trial validated our approach, with sufficient sensitivity and positive predictive value, to identify most patients with KD diagnosed at centers across the US. This study involved 418 KDs and 259 FCs from the Chang Gung Memorial Hospital in Taiwan.FindingsOur diagnostic algorithm retained sensitivity (379 of 418; 90.7%), specificity (223 of 259; 86.1%), PPV (379 of 409; 92.7%), and NPV (223 of 247; 90.3%) comparable to previous US 2016 single center and US 2020 fiver center results. Only 4.7% (15 of 418) of KD and 2.3% (6 of 259) of FC patients were identified as indeterminate. The algorithm identified 18 of 50 (36%) KD patients who presented 2 or 3 principal criteria. Of 418 KD patients, 157 were infants younger than one year and 89.2% (140 of 157) were classified correctly. Of the 44 patients with KD who had coronary artery abnormalities, our diagnostic algorithm correctly identified 43 (97.7%) including all patients with dilated coronary artery but one who found to resolve in 8 weeks.InterpretationThis work demonstrates the applicability of our algorithmic approach and diagnostic portability in Taiwan.

Background The coronavirus disease 2019 (COVID‐19) pandemic has had wide‐ranging health effects and increased isolation. Older with cancer patients might be especially vulnerable to loneliness and poor mental health during the pandemic. Methods The authors included active participants enrolled in the longitudinal Thinking and Living With Cancer study of nonmetastatic breast cancer survivors aged 60 to 89 years (n = 262) and matched controls (n = 165) from 5 US regions. Participants completed questionnaires at parent study enrollment and then annually, including a web‐based or telephone COVID‐19 survey, between May 27 and September 11, 2020. Mixed‐effects models were used to examine changes in loneliness (a single item on the Center for Epidemiologic Studies–Depression [CES‐D] scale) from before to during the pandemic in survivors versus controls and to test survivor‐control differences in the associations between changes in loneliness and changes in mental health, including depression (CES‐D, excluding the loneliness item), anxiety (the State‐Trait Anxiety Inventory), and perceived stress (the Perceived Stress Scale). Models were adjusted for age, race, county COVID‐19 death rates, and time between assessments. Results Loneliness increased from before to during the pandemic (0.211; P = .001), with no survivor‐control differences. Increased loneliness was associated with worsening depression (3.958; P < .001) and anxiety (3.242; P < .001) symptoms and higher stress (1.172; P < .001) during the pandemic, also with no survivor‐control differences. Conclusions Cancer survivors reported changes in loneliness and mental health similar to those reported by women without cancer. However, both groups reported increased loneliness from before to during the pandemic that was related to worsening mental health, suggesting that screening for loneliness during medical care interactions will be important for identifying all older women at risk for adverse mental health effects of the pandemic., Older breast cancer survivors and matched noncancer controls experienced similar increases in loneliness from before to during the COVID‐19 pandemic. Women who reported increased loneliness also experienced worsening depression and anxiety symptoms and higher stress during the pandemic.

PURPOSE Limited tools exist to predict the risk of chemotherapy toxicity in older adults with early-stage breast cancer. METHODS Patients of age ≥ 65 years with stage I-III breast cancer from 16 institutions treated with neoadjuvant or adjuvant chemotherapy were prospectively evaluated for geriatric and clinical features predictive of grade 3-5 chemotherapy toxicity. Logistic regression with best-subsets selection was used to identify and incorporate independent predictors of toxicity into a model with weighted variable scoring. Model performance was evaluated using area under the ROC curve (AUC) and goodness-of-fit statistics. The model was internally and externally validated. RESULTS In 473 patients (283 in development and 190 in validation cohort), 46% developed grade 3-5 chemotherapy toxicities. Eight independent predictors were identified (each assigned weighted points): anthracycline use (1 point), stage II or III (3 points), planned treatment duration > 3 months (4 points), abnormal liver function (3 points), low hemoglobin (3 points), falls (4 points), limited walking (3 points), and lack of social support (3 points). We calculated risk scores for each patient and defined three risk groups: low (0-5 points), intermediate (6-11 points), or high (≥ 12 points). In the development cohort, the rates of grade 3-5 chemotherapy toxicity for these three groups were 19%, 54%, and 87%, respectively ( P < .01). In the validation cohort, the corresponding toxicity rates were 27%, 45%, and 76%. The AUC was 0.75 (95% CI, 0.70 to 0.81) in the development cohort and 0.69 (95% CI, 0.62 to 0.77) in the validation cohort. Risk groups were also associated with hospitalizations and reduced dose intensity ( P < .01). CONCLUSION The Cancer and Aging Research Group-Breast Cancer (CARG-BC) score was developed and validated to predict grade 3-5 chemotherapy toxicity in older adults with early-stage breast cancer.

Background We evaluated deficit accumulation and how deficits affected cognition and physical activity among breast cancer survivors and non-cancer controls. Methods Newly diagnosed nonmetastatic survivors (n = 353) and matched non-cancer controls (n = 355) ages 60-98 years without neurological impairments were assessed presystemic therapy (or at enrollment for controls) from August 2010 to December 2016 and followed for 36 months. Scores on a 42-item index were analyzed in growth-mixture models to determine deficit accumulation trajectories separately and combined for survivors and controls. Multilevel models tested associations between trajectory and cognition (FACT-Cog and neuropsychological tests) and physical activity (IPAQ-SF) for survivors and controls. Results Deficit accumulation scores were in the robust range, but survivors had higher scores (95% confidence intervals [CI]) than controls at 36 months (0.18, 95% CI = 0.16 to 0.19, vs 0.16, 95% CI = 0.14 to 0.17; P = .001), and averages included diverse deficit trajectories. Survivors who were robust but became frailer (8.8%) had similar baseline characteristics to those remaining robust (76.2%) but experienced a 9.6-point decline self-reported cognition (decline of 9.6 vs 3.2 points; P = .04) and a 769 MET minutes per week decline in physical activity (P < .001). Survivors who started and remained prefrail (15.0%) had self-reported and objective cognitive problems. At baseline, frail controls (9.5%) differed from robust controls (83.7%) on deficits and self-reported cognition (P < .001). Within combined trajectories, frail survivors had more sleep disturbances than frail controls (48.6% [SD = 17.4%] vs 25.0% [SD = 8.2%]; P = .05). Conclusions Most survivors and controls remained robust, and there were similar proportions on a frail trajectory. However, there were differences in deficit patterns between survivors and controls. Survivor deficit accumulation trajectory was associated with patient-reported outcomes. Additional research is needed to understand how breast cancer and its treatments affect deficit accumulation.

Background: Pregnancy triggers longitudinal metabolic alterations in women to allow precisely-programmed fetal growth. Comprehensive characterization of such a “metabolic clock” of pregnancy may provide a molecular reference in relation to studies of adverse pregnancy outcomes. However, a high-resolution temporal profile of metabolites along a healthy pregnancy remains to be defined.Methods: Two independent, normal pregnancy cohorts with high-density weekly urine sampling (discovery: 478 samples from 19 subjects at California; validation: 171 samples from 10 subjects at Alabama) were studied. Urine samples were profiled by liquid chromatography-mass spectrometry (LC-MS) for untargeted metabolomics, which was applied for gestational age dating and prediction of time to delivery.Results: 5,473 urinary metabolic features were identified. Partial least-squares discriminant analysis on features with robust signals (n = 1,716) revealed that the samples were distributed on the basis of the first two principal components according to their gestational age. Pathways of bile secretion, steroid hormone biosynthesis, pantohenate, and CoA biosynthesis, benzoate degradation, and phenylpropanoid biosynthesis were significantly regulated, which was collectively applied to discover and validate a predictive model that accurately captures the chronology of pregnancy. With six urine metabolites (acetylcholine, estriol-3-glucuronide, dehydroepiandrosterone sulfate, α-lactose, hydroxyexanoy-carnitine, and l-carnitine), models were constructed based on gradient-boosting decision trees to date gestational age in high accordance with ultrasound results, and to accurately predict time to delivery.Conclusion: Our study characterizes the weekly baseline profile of the human pregnancy metabolome, which provides a high-resolution molecular reference for future studies of adverse pregnancy outcomes.

Cancer is a disease of aging and, as the world's population ages, the number of older persons with cancer is increasing and will make up a growing share of the oncology population in virtually every country. Despite this, older patients remain vastly underrepresented in research that sets the standards for cancer treatments. Consequently, most of what we know about cancer therapeutics is based on clinical trials conducted in younger, healthier patients, and effective strategies to improve clinical trial participation of older adults with cancer remain sparse. For this systematic review, the authors evaluated published studies regarding barriers to participation and interventions to improve participation of older adults in cancer trials. The quality of the available evidence was low and, despite a literature describing multifaceted barriers, only one intervention study aimed to increase enrollment of older adults in trials. The findings starkly amplify the paucity of evidence-based, effective strategies to improve participation of this underrepresented population in cancer trials. Within these limitations, the authors provide their opinion on how the current cancer research infrastructure must be modified to accommodate the needs of older patients. Several underused solutions are offered to expand clinical trials to include older adults with cancer. However, as currently constructed, these recommendations alone will not solve the evidence gap in geriatric oncology, and efforts are needed to meet older and frail adults where they are by expanding clinical trials designed specifically for this population and leveraging real-world data.

Unintentional falls and breast cancer are common among older women, but the associations between them are understudied. We aimed to identify factors associated with falls in older women with breast cancer. We retrospectively reviewed clinical records of older women with breast cancer at Duke Medical Center who had completed the Senior Adult Oncology Program geriatric assessment. Characteristics were compared between women had had at least one fall in the past year and those who did not. Pearson’s Chi-square tests and t tests were used for comparison of groups’ characteristics. Logistic regression determined factors associated with falling. We identified 425 women, age 76.2 years (range 65–89 years), at the time of the assessment. 118 (27.8%) women reported a fall in the prior year. Age, race, ethnicity, and time since diagnosis (all p > 0.05) were similar between groups. In univariate analyses, metastatic disease (p = 0.023) and history of endocrine therapy (p = 0.042) were more common among women who fell. Women who fell had lower systolic (p = 0.001), diastolic (p

Objectives The goal of this study was to evaluate the relationship between social support (SS) and grade 3–5 chemotherapy-related toxicities among older adults with cancer. Methods This is a secondary analysis of a prospective longitudinal study of patients aged 65+ with solid cancer which led to the development of a predictive model for grade 3–5 chemotherapy-related toxicity (the Cancer and Aging Research Group [CARG] Chemotherapy Toxicity Risk Score). SS was measured by a modified version of Medical-Outcome Study-Social Support Survey and grade 3–5 hematological and non-hematological toxicities were captured and graded using CTCAE version 3.0. Patients were categorized into those with poor (SS score ≤ 75) and good SS (score of 76–100). Multivariate polychotomous logistic regression was used to examine the associations between SS and chemotherapy-related toxicity with adjustment for the CARG Toxicity Risk Score. Results Compared to patients with good SS, those with poor SS were less likely to have grade 3–5 toxicity, especially for non-hematological toxicity (adjusted OR = 0.52, p = .02). Patients who did not have someone to take them to the doctor “most” or “all of the time” were less likely to have grade 3–5 non-hematological toxicity compared to patients who had someone to take them to the doctor most or all of the time (adjusted OR = 0.32, p = .02). Conclusion Our study showed that patients with poor SS, especially those with less availability of someone to take them to doctors were less likely to have a documented grade 3–5 non-hematological toxicity.

Objective To demonstrate feasibility of performing geriatric assessment (GA) in the National Clinical Trials Network (NCTN) and to explore the utility of GA to characterize treatment tolerance. Materials and methods We conducted a multisite companion study (CALGB 361006) to CALGB 11001, a phase 2 trial of adults ≥60 years old with newly diagnosed FLT3- mutated AML, testing the efficacy of adding sorafenib to intensive chemotherapy. On 361006, a GA was administered prior to induction and prior to post-remission therapy. The GA is divided into items requiring administration by a health care professional (HCP) and patient self-administered questionnaires. Feasibility outcomes were recruitment rate, time to GA completion, difficulty with GA administration, percent of patients requiring assistance, and satisfaction. Change in GA measures pre- and post-induction were compared using Wilcoxon signed rank test and McNemar's tests. Results The recruitment rate was 80% (N = 43, median age 68 years). Median completion time of the GA was 30 min; (10 and 21 min for HCP and patients, respectively). HCP reported no difficulty completing assessments (100%). Most patients completed questionnaires without assistance (77%), and were satisfied with the length (89%). Self-reported physical function, mental health, social activity and nutritional parameters worsened after induction. Conclusion GA is feasible to administer in the setting of intensive induction for older adults with AML in the NCTN and provides evidence of the impact of induction therapy on physical and emotional health.

Several studies have reported sleep disturbances during the COVID-19 virus pandemic. Little data exist about the impact of the pandemic on sleep and mental health among older women with breast cancer. We sought to examine whether women with and without breast cancer who experienced new sleep problems during the pandemic had worsening depression and anxiety.Breast cancer survivors aged ≥60 years with a history of nonmetastatic breast cancer (n = 242) and frequency-matched noncancer controls (n = 158) active in a longitudinal cohort study completed a COVID-19 virus pandemic survey from May to September 2020 (response rate 83%). Incident sleep disturbance was measured using the restless sleep item from the Center for Epidemiological Studies-Depression Scale (CES-D). CES-D score (minus the sleep item) captured depressive symptoms; the State-Anxiety subscale of the State Trait Anxiety Inventory measured anxiety symptoms. Multivariable linear regression models examined how the development of sleep disturbance affected changes in depressive or anxiety symptoms from the most recent prepandemic survey to the pandemic survey, controlling for covariates.The prevalence of sleep disturbance during the pandemic was 22.3%, with incident sleep disturbance in 10% and 13.5% of survivors and controls, respectively. Depressive and anxiety symptoms significantly increased during the pandemic among women with incident sleep disturbance (vs. no disturbance) (β = 8.16, p 0.01 and β = 6.14, p 0.01, respectively), but there were no survivor-control differences in the effect.Development of sleep disturbances during the COVID-19 virus pandemic may negatively affect older women's mental health, but breast cancer survivors diagnosed with the nonmetastatic disease had similar experiences as women without cancer.

Multisystem inflammatory syndrome in children (MIS-C) is a novel disease identified during the COVID-19 pandemic characterized by systemic inflammation following SARS-CoV-2 infection. Delays in diagnosing MIS-C may lead to more severe disease with cardiac dysfunction or death. Most pediatric patients recover fully with anti-inflammatory treatments, but early detection of MIS-C remains a challenge given its clinical similarities to Kawasaki disease (KD) and other acute childhood illnesses.We developed KIDMATCH ( K awasak I D isease vs M ultisystem Infl A mma T ory syndrome in CH ildren), a deep learning algorithm for screening patients for MIS-C, KD, or other febrile illness, using age, the five classical clinical KD signs, and 17 laboratory measurements prospectively collected within 24 hours of admission to the emergency department from 1448 patients diagnosed with KD or other febrile illness between January 1, 2009 and December 31, 2019 at Rady Children's Hospital. For MIS-C patients, the same data was collected from 131 patients between May 14, 2020 to June 18, 2021 at Rady Children's Hospital, Connecticut Children's Hospital, and Children's Hospital Los Angeles. We trained a two-stage model consisting of feedforward neural networks to distinguish between MIS-C and non MIS-C patients and then KD and other febrile illness. After internally validating the algorithm using 10-fold cross validation, we incorporated a conformal prediction framework to tag patients with erroneous data or distribution shifts, enhancing the model generalizability and confidence by flagging unfamiliar cases as indeterminate instead of making spurious predictions. We externally validated KIDMATCH on 175 MIS-C patients from 16 hospitals across the United States.KIDMATCH achieved a high median area under the curve in the 10-fold cross validation of 0.988 [IQR: 0.98-0.993] in the first stage and 0.96 [IQR: 0.956-0.972] in the second stage using thresholds set at 95% sensitivity to detect positive MIS-C and KD cases respectively during training. External validation of KIDMATCH on MIS-C patients correctly classified 76/83 (2 rejected) patients from the CHARMS consortium, 47/50 (1 rejected) patients from Boston Children's Hospital, and 36/42 (2 rejected) patients from Children's National Hospital.KIDMATCH has the potential to aid frontline clinicians with distinguishing between MIS-C, KD, and similar febrile illnesses in a timely manner to allow prompt treatment and prevent severe complications.Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Heart, Lung, and Blood Institute, Patient-Centered Outcomes Research Institute, National Library of Medicine.

Multisystem inflammatory syndrome in children (MIS-C) is a novel disease that was identified during the COVID-19 pandemic and is characterised by systemic inflammation following SARS-CoV-2 infection. Early detection of MIS-C is a challenge given its clinical similarities to Kawasaki disease and other acute febrile childhood illnesses. We aimed to develop and validate an artificial intelligence algorithm that can distinguish among MIS-C, Kawasaki disease, and other similar febrile illnesses and aid in the diagnosis of patients in the emergency department and acute care setting.In this retrospective model development and validation study, we developed a deep-learning algorithm called KIDMATCH (Kawasaki Disease vs Multisystem Inflammatory Syndrome in Children) using patient age, the five classic clinical Kawasaki disease signs, and 17 laboratory measurements. All features were prospectively collected at the time of initial evaluation from patients diagnosed with Kawasaki disease or other febrile illness between Jan 1, 2009, and Dec 31, 2019, at Rady Children's Hospital in San Diego (CA, USA). For patients with MIS-C, the same data were collected from patients between May 7, 2020, and July 20, 2021, at Rady Children's Hospital, Connecticut Children's Medical Center in Hartford (CT, USA), and Children's Hospital Los Angeles (CA, USA). We trained a two-stage model consisting of feedforward neural networks to distinguish between patients with MIS-C and those without and then those with Kawasaki disease and other febrile illnesses. After internally validating the algorithm using stratified tenfold cross-validation, we incorporated a conformal prediction framework to tag patients with erroneous data or distribution shifts. We finally externally validated KIDMATCH on patients with MIS-C enrolled between April 22, 2020, and July 21, 2021, from Boston Children's Hospital (MA, USA), Children's National Hospital (Washington, DC, USA), and the CHARMS Study Group consortium of 14 US hospitals.1517 patients diagnosed at Rady Children's Hospital between Jan 1, 2009, and June 7, 2021, with MIS-C (n=69), Kawasaki disease (n=775), or other febrile illnesses (n=673) were identified for internal validation, with an additional 16 patients with MIS-C included from Connecticut Children's Medical Center and 50 from Children's Hospital Los Angeles between May 7, 2020, and July 20, 2021. KIDMATCH achieved a median area under the receiver operating characteristic curve during internal validation of 98·8% (IQR 98·0-99·3) in the first stage and 96·0% (95·6-97·2) in the second stage. We externally validated KIDMATCH on 175 patients with MIS-C from Boston Children's Hospital (n=50), Children's National Hospital (n=42), and the CHARMS Study Group consortium of 14 US hospitals (n=83). External validation of KIDMATCH on patients with MIS-C correctly classified 76 of 81 patients (94% accuracy, two rejected by conformal prediction) from 14 hospitals in the CHARMS Study Group consortium, 47 of 49 patients (96% accuracy, one rejected by conformal prediction) from Boston Children's Hospital, and 36 of 40 patients (90% accuracy, two rejected by conformal prediction) from Children's National Hospital.KIDMATCH has the potential to aid front-line clinicians to distinguish between MIS-C, Kawasaki disease, and other similar febrile illnesses to allow prompt treatment and prevent severe complications.US Eunice Kennedy Shriver National Institute of Child Health and Human Development, US National Heart, Lung, and Blood Institute, US Patient-Centered Outcomes Research Institute, US National Library of Medicine, the McCance Foundation, and the Gordon and Marilyn Macklin Foundation.

Kawasaki disease (KD) is the leading cause of acquired heart disease in children. A key objective of research in KD is to reduce the risk of long-term cardiovascular sequelae by expediting timely diagnosis. The major challenge in KD diagnosis is that it shares clinical signs with other childhood febrile illnesses. Our previously single-center developed computer-based two-step algorithm was further tested by a five-center validation in US. This first blinded multi-center trial validated our approach, with sufficient sensitivity and positive predictive value, to identify most patients with KD diagnosed at centers across the US.We sought to determine if our algorithmic approach applied to an Asian cohort. This study involved 418 KD and 259 febrile controls (FC) from the Chang Gung Memorial Hospital in Taiwan. Our diagnostic algorithm retained sensitivity (379 of 418; 90.7%), specificity (223 of 259; 86.1%), PPV (379 of 409; 92.7%), and NPV (223 of 247; 90.3%) comparable to previous US 2016 single center and US 2020 fiver center results. Only 4.7% (15 of 418) of KD and 2.3% (6 of 259) of FC patients were identified as indeterminate. The algorithm identified 18 of 50 (36%) KD patients who presented 2 or 3 principal criteria. Of 418 KD patients, 157 were infants younger than one year and 89.2% (140 of 157) were classified correctly. Of the 44 patients with KD who had coronary artery abnormalities, our diagnostic algorithm correctly identified 43 (97.7%) including all patients with dilated coronary artery but one who found to resolve in 8 weeks.We assessed the performance of our KD diagnostic algorithm with a single center Asian cohort. This work demonstrates the applicability of our algorithmic approach and diagnostic portability, providing evidence to support the launch of an adequately powered, multicenter study for future Asian application in the emergency department setting. If deployed in Asia, our tool promises a cost-effective diagnostic approach to allow the timely management of Asian KD patients even in the absence of KD experts, to potentially enhance the outcome for KD patients and reduce the risk of coronary artery aneurysms.

Association between the CARG-BC score and clinical decline after adjuvant chemotherapy in fit older adults with breast cancer: Results from the Hurria Older PatiEnts (HOPE) Prospective Study Background: We previously developed and validated a risk prediction model for grade 3-5 chemotherapy toxicity in patients age ≥65 with early breast cancer, known as the Cancer and Aging Research Group-Breast Cancer (CARG-BC) score. The CARG-BC score is calculated by combining eight clinical variables that classify patients as low, intermediate, and high risk for grade 3-5 chemotherapy toxicity. However, whether this score can also identify individuals most likely to experience a clinical decline after chemotherapy remains unknown. Here, we evaluated the association between the CARG-BC score and decline in health status. Methods: This is a pre-specified secondary analysis of the Hurria Older PatiEnts (HOPE) with Breast Cancer Study (NCT01472094). This multicenter, prospective cohort study gathered biological and clinical data from women ≥65 with stage I-III breast cancer scheduled to receive neo/adjuvant chemotherapy. Health status was measured pre- (≤14 days) and post-chemotherapy (≤30 days) using a Deficit Accumulation Index (DAI), derived from geriatric assessment data (Cohen et al Cancer 2017). The DAI categorized patients as robust (0.0< 0.2), prefrail (0.2< 0.35), or frail (≥0.35). Baseline clinical characteristics, blood biomarkers of inflammation (interleukin-6 [IL-6] and C-reactive protein [CRP]), and CARG-BC scores (classified as low [0-5], intermediate [6-11] or high [≥12]) were collected pre-chemotherapy. The population of interest was older women who were clinically fit (defined as robust per the DAI) pre-chemotherapy. The primary outcome was chemotherapy-induced decline in health status, a dichotomized (yes/no) variable defined as a decline in DAI from robust pre-chemotherapy to pre-frail or frail post-chemotherapy. Multivariable logistic regression was used to examine the association between baseline CARG-BC score and chemotherapy-induced decline in health status. Results: Of 392 women included in this analysis, 316 (80.6%) were clinically fit based on DAI assessment pre-chemotherapy. The median age was 70 (range 65-86), 61.7% had stage II or III disease, 31% had HR+/HER2+ disease, 22% had HR-/HER2- disease, 36% received an anthracycline, and 74% received prophylactic WBC growth factors. At baseline, 38.7% had low, 53.4% had intermediate, and 7.9% had high CARG-BC scores. Among the 316 clinically fit patients, 80 (25.3%) experienced a decline in health status at the end of chemotherapy. In univariate analysis, we observed that patients with high IL-6 (odds ratio [OR]=2.24, 95% CI: 1.32-3.79, p=0.003), high CRP (OR=1.84, 95%: CI 1.10-3.09, p=0.02), and intermediate (OR=3.29, 95% CI 1.72-6.29, p< 0.001) or high (OR=6.29, 95% CI 2.36-16.71, p< 0.001) CARG-BC scores were more likely to experience chemotherapy-induced decline in health status. After adjusting for IL-6 and CRP, patients with both intermediate (OR=3.25, 95% CI 1.68-6.27, p< 0.001) and high (OR=5.17, 95% CI 1.90-14.02, p=0.001) CARG-BC scores had significantly higher odds of experiencing chemotherapy-induced clinical decline as compared to patients with low CARG-BC scores. Conclusions: In this cohort of older women with early breast cancer who were clinically fit pre-chemotherapy, 25% experienced a decline in health status after neo/adjuvant chemotherapy. Women with an intermediate/high CARG-BC score prior to chemotherapy had 3-5-fold increased odds of experiencing chemotherapy-induced decline in health status independent of baseline clinical characteristics and biomarkers of inflammation. These findings may be useful to clinicians for predicting individual probability of chemotherapy-induced clinical decline and informing treatment decisions in older adults with early breast cancer. Table 1. Univariate and multivariable association of the CARG-BC score with chemotherapy-induced decline in health status. Multivariable analysis adjusted for baseline demographic, clinical, and inflammatory levels (IL-6 and CRP); *CARG-BC score is calculated using 8 independent predictors (each assigned weighted points): anthracycline use (1 point), stage II or III (3 points), planned treatment duration > 3 months (4 points), abnormal liver function (3 points), low hemoglobin (3 points), falls (4 points), limited walking (3 points), and lack of social support (3 points). The total CARG-BC risk score is the sum of each point derived from these 8 predictors. Each patient’s total CARG-BC score can then be classified into three risk groups: low (0-5 points), intermediate (6-11 points), or high (≥ 12 points). Citation Format: Jingran Ji, Canlan Sun, Hyman B. Muss, Harvey J. Cohen, Mina S. Sedrak. PD6-01 Association between the CARG-BC score and clinical decline after adjuvant chemotherapy in fit older adults with breast cancer: Results from the Hurria Older PatiEnts (HOPE) Prospective Study [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr PD6-01.

Purpose: Cancer-related cognitive problems may result from peripheral inflammation effects on the brain. We tested whether differences in cognitive performance between breast cancer survivors and non-cancer controls was explained by elevated inflammatory cytokines. Methods: We enrolled women >60 years, newly diagnosed with primary breast cancer (stage 0-III) (n=400) and frequency-matched non-cancer controls (n=329) from six national centers from 2010- 2020, with blood collection beginning in 2016. Baseline assessments occurred pre-systemic therapy (or enrollment for controls) with annual follow-up to 60-months. The primary outcome was the score on neurocognitive tests of the attention, processing speed and executive function (APE) domain. Plasma levels of IL-6, IL-10, and TNF-alpha were determined using multiplex testing and mixed linear models compared results for each marker across all timepoints by survivor/control group, adjusting for age, race, WRAT scores, recruitment site, comorbidities, and BMI. Multi-level mediation analyses tested the simultaneous direct effects of survivor/control group on cognition and indirect effects of group on each immune marker and the effect of the marker on cognition, controlling for covariates. Results: Participants had an average age of 67.7 years (range: 60-90). Most survivors had stage I (60.9%) estrogen-receptor positive (87.6%) tumors. Survivors had significantly higher adjusted IL-6 levels than controls at baseline, 12-, 24- and 60-months (p=< 0.001 to 0.014), but there were no differences for other markers. Survivors had lower adjusted APE scores than controls, and this effect was due to the indirect effects of being a survivor vs. control on IL-6 (p=0.047). Conclusion: Cancer and its treatments were related to poorer attention, processing speed, and executive function compared to non-cancer frequency matched controls, and this difference was partially explained by elevated IL-6. Citation Format: Jeanne S. Mandelblatt, Brent J. Small, Xingtao Zhou, Zev M. Nakamura, Harvey J. Cohen, Tim A. Ahles, Jaeil Ahn, Traci N. Bethea, Martine Extermann, Heather S.L. Jim, Brenna C. McDonald, Sunita K. Patel, Kelly Rentscher, James Root, Andrew J. Saykin, Kathleen Van Dyk, Wanting Zhai, Elizabeth C. Breen, Judith E. Carroll. Differences in attention, processing speed, and executive function in older breast cancer survivors compared to controls is partially explained by plasma IL-6: The Thinking and Living with Cancer (TLC) Study [abstract]. In: Proceedings of the AACR Special Conference: Aging and Cancer; 2022 Nov 17-20; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_1):Abstract nr A012.

Cancer and its treatments are thought to increase risk for accelerated aging in survivors, and biological aging may be a key mechanism; however, no research to date has examined epigenetic markers of aging in long-term breast cancer survivors. We used data from the Thinking and Living with Cancer (TLC) study to examine whether older breast cancer survivors have accelerated epigenetic aging compared to non-cancer controls several years after treatment completion and whether epigenetic aging related to cognitive and physical function. Non-metastatic breast cancer survivors ages 62–84 years (n=89) and frequency-matched controls (n=101) provided two blood samples between 24- and 60-months post-diagnosis. DNA methylation profiling (Illumina Infinium EPIC array) derived epigenetic aging measures: Horvath, Hannum, PhenoAge, GrimAge, and Dunedin Pace of Aging Methylation. Participants completed neuropsychological testing and questionnaires to assess cognitive and physical function at each visit. Mixed-effects models adjusted for chronological age and comorbidities and applied false discovery rate correction for multiple testing. Survivors were 1.04–2.22 years older biologically than controls at the first blood sample based on Horvath, Hannum, and GrimAge measures (corrected ps=.025, .025, and .058, respectively), with marginal differences for Dunedin Pace of Aging (corrected p=.096); however, survivors and controls showed similar changes in epigenetic aging over time. Exposure to prior chemotherapy (with or without hormonal therapy; n=29) was associated with an epigenetic age 1.97–2.71 years older than controls (corrected ps=.005 to .065). Among survivors who received chemotherapy, an older Hannum epigenetic age was associated with poorer self-reported cognition relative to controls (coeff=-0.64, uncorrected p=.047; n.s. after correction). Older breast cancer survivors, particularly those receiving chemotherapy, showed an accelerated epigenetic aging profile compared to their peers without cancer at 24 months or more post-diagnosis, following the completion of active therapy. This study also provides preliminary evidence that survivors who received chemotherapy may be at increased risk for poorer age-related survivorship outcomes. Citation Format: Kelly E. Rentscher, Wanting Zhai, Brent J. Small, Jaeil Ahn, Tim A. Ahles, Traci N. Bethea, Elizabeth C. Breen, Harvey J. Cohen, Martine Extermann, Deena M.A. Graham, Paul B. Jacobsen, Heather S.L. Jim, Brenna C. McDonald, Zev M. Nakamura, Sunita K. Patel, James C. Root, Andrew J. Saykin, Danielle B. Tometich, Kathleen M. Van Dyk, Xingtao Zhou, Jeanne S. Mandelblatt, Judith E. Carroll. Long-term epigenetic aging in older breast cancer survivors and non-cancer controls: Preliminary findings from the Thinking and Living with Cancer (TLC) Stud [abstract]. In: Proceedings of the AACR Special Conference: Aging and Cancer; 2022 Nov 17-20; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2022;83(2 Suppl_1):Abstract nr B018.

Resilience, the ability to respond to stressors by maintaining or rapidly returning to normal homeostasis, serves as a new paradigm to improve the care of older adults. However, resilience research in oncology is nascent. We aimed to describe the current research landscape on physical, cognitive, and psychosocial resilience in older cancer patients.We searched PubMed/MEDLINE from inception to January 28, 2022 for records with the terms "resilient OR resilience OR resiliency." We included studies that focused on persons over age 65 with cancer and assessed physical, cognitive, or psychological resilience. We excluded studies that did not report original data; did not have the full text available; assessed resilience on fewer than three time points; and published in non-English languages. Definitions and measures of resilience were extracted and categorized using qualitative analysis.Of 473 articles screened, we found 29 articles that met criteria for inclusion in our review. There was a high degree of heterogeneity in the definitions and measures of resilience. Resilience was defined as robustness/resistance to decline (n = 11), recovery from trauma/stressor (n = 7), and adaptive and proactive coping behaviors (n = 6). Ten papers did not define resilience. 21 studies utilized longitudinal analysis, five studies used randomized and nonrandomized control trials, and four studies assessed pre-post analysis. Stressors included cancer diagnosis (n = 18), chemotherapy (n = 3), radiation (n = 3), acute illness (n = 3), surgery (n = 2), and hematopoietic cell transplant (n = 1).Evidence for predictors and determinants of resilience in older adults with cancer is limited by the absence of standardized definitions and measurements. There is a fundamental need for a more precise definition, measures, and understanding of the physiologic mechanisms underlying the response to the physical, cognitive, and psychosocial stressors of cancer and its treatments.

Introduction: While some cancer survivors experience minimal lasting effects of diagnosis and treatment, others report persistent decrements in physical and cognitive function. These changes may represent aging beyond that expected for the chronological age (i.e., “accelerated aging”). Racial minority groups often have an accelerated aging phenotype even before cancer diagnosis, partly due to chronic stress and other multi-level factors that affect aging and the ability to repair physiologic damage, leaving them more vulnerable to poor survivorship outcomes. However, we know little about physical and cognitive aging in this group and few studies have collected objective measures of physical and cognitive aging in minority cancer survivors. Methods: We examined changes in physical and cognitive function across 60 months of follow-up among Black and White survivors in the Thinking and Living with Cancer Study (TLC). TLC is an ongoing prospective multi-site cohort study recruiting non-metastatic breast cancer survivors aged ≥60 years. Participants completed questionnaires and objective assessments prior to systemic therapy with annual follow-up for up to 60 months. Physical function was measured using the timed up and go test (TUG); cognitive function was measured with Z scores on 11 neuropsychological tests for two domains: learning and memory (LM) and attention, processing, and executive function (APE). Mixed linear regression models predicting TUG, APE, or LM adjusted for age, study site, time, and cognitive reserve using the Wide Range Achievement Test (WRAT). Results: Black and White survivors in TLC were similar in age, education, comorbidities, and year of enrollment (p>0.14), but differed by study site (p Citation Format: Traci N. Bethea, Wanting Zhai, Xingtao Zhou, Tim A. Ahles, Jaeil Ahn, Harvey J. Cohen, Asma A. Dilawari, Deena Graham, Heather Jim, Brenna C. McDonald, Zev M. Nakamura, Sunita K. Patel, Kelly E. Rentscher, James C. Root, Andrew J. Saykin, Brent J. Small, Kathleen Van Dyk, Jeanne S. Mandelblatt, Judith E. Carroll. Black-White differences in physical and cognitive aging among older breast cancer survivors in the Thinking and Living with Cancer Study [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr B111.

Numerous investigators have theorized that postoperative changes in Alzheimer's disease neuropathology may underlie postoperative neurocognitive disorders. Thus, we determined the relationship between postoperative changes in cognition and cerebrospinal (CSF) tau, p-tau-181p, or Aβ levels after non-cardiac, non-neurologic surgery in older adults.Participants underwent cognitive testing before and 6 weeks after surgery, and lumbar punctures before, 24 h after, and 6 weeks after surgery. Cognitive scores were combined via factor analysis into an overall cognitive index. In total, 110 patients returned for 6-week postoperative testing and were included in the analysis.There was no significant change from before to 24 h or 6 weeks following surgery in CSF tau (median [median absolute deviation] change before to 24 h: 0.00 [4.36] pg/mL, p = 0.853; change before to 6 weeks: -1.21 [3.98] pg/mL, p = 0.827). There were also no significant changes in CSF p-tau-181p or Aβ over this period. There was no change in cognitive index (mean [95% CI] 0.040 [-0.018, 0.098], p = 0.175) from before to 6 weeks after surgery, although there were postoperative declines in verbal memory (-0.346 [-0.523, -0.170], p = 0.003) and improvements in executive function (0.394, [0.310, 0.479], p 0.001). There were no significant correlations between preoperative to 6-week postoperative changes in cognition and CSF tau, p-tau-181p, or Aβ42 changes over this interval (p 0.05 for each).Neurocognitive changes after non-cardiac, non-neurologic surgery in the majority of cognitively healthy, community-dwelling older adults are unlikely to be related to postoperative changes in AD neuropathology (as assessed by CSF Aβ, tau or p-tau-181p levels or the p-tau-181p/Aβ or tau/Aβ ratios).clinicaltrials.gov (NCT01993836).

ObjectiveThis study aimed to develop a blood test for the prediction of pre-eclampsia (PE) early in gestation. We hypothesised that the longitudinal measurements of circulating adipokines and sphingolipids in maternal serum over the course of pregnancy could identify novel prognostic biomarkers that are predictive of impending event of PE early in gestation.Study designRetrospective discovery and longitudinal confirmation.SettingMaternity units from two US hospitals.ParticipantsSix previously published studies of placental tissue (78 PE and 95 non-PE) were compiled for genomic discovery, maternal sera from 15 women (7 non-PE and 8 PE) enrolled at ProMedDx were used for sphingolipidomic discovery, and maternal sera from 40 women (20 non-PE and 20 PE) enrolled at Stanford University were used for longitudinal observation.Outcome measuresBiomarker candidates from discovery were longitudinally confirmed and compared in parallel to the ratio of placental growth factor (PlGF) and soluble fms-like tyrosine kinase (sFlt-1) using the same cohort. The datasets were generated by enzyme-linked immunosorbent and liquid chromatography-tandem mass spectrometric assays.ResultsOur discovery integrating genomic and sphingolipidomic analysis identified leptin (Lep) and ceramide (Cer) (d18:1/25:0) as novel biomarkers for early gestational assessment of PE. Our longitudinal observation revealed a marked elevation of Lep/Cer (d18:1/25:0) ratio in maternal serum at a median of 23 weeks’ gestation among women with impending PE as compared with women with uncomplicated pregnancy. The Lep/Cer (d18:1/25:0) ratio significantly outperformed the established sFlt-1/PlGF ratio in predicting impending event of PE with superior sensitivity (85% vs 20%) and area under curve (0.92 vs 0.52) from 5 to 25 weeks of gestation.ConclusionsOur study demonstrated the longitudinal measurement of maternal Lep/Cer (d18:1/25:0) ratio allows the non-invasive assessment of PE to identify pregnancy at high risk in early gestation, outperforming the established sFlt-1/PlGF ratio test.

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

BACKGROUND Consultation of specialty palliative care remains uncommon in pediatric stem cell transplant (SCT) despite growing evidence that early integration of palliative care improves outcomes in patients with advanced cancers or undergoing SCT. Little is known about how multidisciplinary pediatric SCT teams perceive palliative care and its role in SCT. PROCEDURE We conducted semistructured interviews of members of a multi-disciplinary SCT team to understand their perceptions of palliative care, how specialty palliative care is integrated into SCT, and to identify barriers to increased integration. Eligible participants included physicians, nurses, inpatient nurse practitioners, social workers, and child life specialists. Data were analyzed using thematic analysis. RESULTS Four major themes were identified. First, SCT team members held a favorable perception of the palliative care team. Second, participants desired increased palliative care integration in SCT. Third, participants believed that the palliative care team had insufficient resources to care for the large number of SCT patients, which led to the SCT team limiting palliative care consultation. And, finally, the lack of a standardized palliative care consultation process prevented greater integration of palliative care in SCT. CONCLUSIONS SCT team members held a favorable perception of palliative care and saw a role for greater palliative care integration throughout the SCT course. We identified modifiable barriers to greater palliative care integration. SCT teams who desire greater palliative care integration may adapt and implement an existing model of palliative care integration in order to improve standardization and increase integration of specialty palliative care in SCT.

Background Older adults (≥65 years) with gastrointestinal (GI) cancers who receive chemotherapy are at increased risk of hospitalization caused by treatment-related toxicity. Geriatric assessment (GA) has been previously shown to predict risk of toxicity in older adults undergoing chemotherapy. However, studies incorporating the GA specifically in older adults with GI cancers have been limited. This study sought to identify GA-based risk factors for chemotherapy toxicity–related hospitalization among older adults with GI cancers. Patients and Methods We performed a secondary post hoc subgroup analysis of two prospective studies used to develop and validate a GA-based chemotherapy toxicity score. The incidence of unplanned hospitalizations during the course of chemotherapy treatment was determined. Results This analysis included 199 patients aged ≥65 years with a diagnosis of GI cancer (85 colorectal, 51 gastric/esophageal, and 63 pancreatic/hepatobiliary). Sixty-five (32.7%) patients had ≥1 hospitalization. Univariate analysis identified sex (female), cardiac comorbidity, stage IV disease, low serum albumin, cancer type (gastric/esophageal), hearing deficits, and polypharmacy as risk factors for hospitalization. Multivariable analyses found that patients who had cardiac comorbidity (OR 2.48, 95% CI 1.13-5.42) were significantly more likely to be hospitalized. Conclusion Cardiac comorbidity may be a risk factor for hospitalization in older adults with GI cancers receiving chemotherapy. Further studies with larger sample sizes are warranted to examine the relationship between GA measures and hospitalization in this vulnerable population.

BACKGROUND Little is known about longitudinal symptom burden, its consequences for well-being, and whether lifestyle moderates the burden in older survivors. METHODS The authors report on 36-month data from survivors aged ≥60 years with newly diagnosed, nonmetastatic breast cancer and noncancer controls recruited from August 2010 through June 2016. Symptom burden was measured as the sum of self-reported symptoms/diseases as follows: pain (yes or no), fatigue (on the Functional Assessment of Cancer Therapy [FACT]-Fatigue scale), cognitive (on the FACT-Cognitive scale), sleep problems (yes or no), depression (on the Center for Epidemiologic Studies Depression scale), anxiety (on the State-Trait Anxiety Inventory), and cardiac problems and neuropathy (yes or no). Well-being was measured using the FACT-General scale, with scores from 0 to 100. Lifestyle included smoking, alcohol use, body mass index, physical activity, and leisure activities. Mixed models assessed relations between treatment group (chemotherapy with or without hormone therapy, hormone therapy only, and controls) and symptom burden, lifestyle, and covariates. Separate models tested the effects of fluctuations in symptom burden and lifestyle on function. RESULTS All groups reported high baseline symptoms, and levels remained high over time; differences between survivors and controls were most notable for cognitive and sleep problems, anxiety, and neuropathy. The adjusted burden score was highest among chemotherapy-exposed survivors, followed by hormone therapy-exposed survivors versus controls (P

Background Hospital-acquired disability (HAD) is common and often related to low physical activity while in the hospital. Objective To examine whether wearable hospital activity trackers can be used to predict HAD. Design A prospective observational study between January 2016 and March 2017. Setting An academic medical center. Participants Community-dwelling older adults, aged 60 years or older, enrolled within 24 hours of admission to general medicine (n = 46). Main measures Primary outcome was HAD, defined as having one or more new activity of daily living deficits, decline of four or greater on the Late-Life Function and Disability Instrument (calculated between baseline and discharge), or discharge to a skilled nursing facility. Hospital activity (mean active time, mean sedentary time, and mean step counts per day) was measured using ankle-mounted accelerometers. The association of the literature-based threshold of 900 steps/day with HAD was also evaluated. Results Mean age was 73.2 years (SD = 9.5 years), 48% were male, and 76% were white. Median length of stay was 4 days (interquartile range [IQR] = 2.0-6.0 days); 61% (n = 28) reported being able to walk without assistance of another person or walking aid at baseline. Median daily activity time and step counts were 1.1 h/d (IQR = 0.7-1.7 h/d) and 1455.7 steps/day (IQR = 908.5-2643 steps/day), respectively. Those with HAD (41%; n = 19) had lower activity time (0.8 vs 1.4 h/d; P = .04) and fewer step counts (1186 vs 1808 steps/day; P = .04), but no difference in sedentary time, compared to those without HAD. The 900 steps/day threshold had poor sensitivity (40%) and high specificity (85%) for detecting HAD. Conclusions Low hospital physical activity, as measured by wearable accelerometers, is associated with HAD. Clinicians can utilize wearable technology data to refer patients to physical/occupational therapy services or other mobility interventions, like walking programs. J Am Geriatr Soc 68:261-265, 2020.

Animal models suggest POCD may be caused by brain monocyte influx. To study this in humans, we developed a flow cytometry panel to profile CSF samples collected before and after major non-cardiac surgery in in 5 patients age ≥ 60 years who developed POCD and 5 matched controls who did not. We detected 12,654±4895 cells/10 ml CSF sample (mean±SD). Patients who developed POCD showed an increased CSF monocyte/lymphocyte ratio and MCP-1 receptor downregulation on CSF monocytes 24 hours after surgery. These pilot data demonstrate that CSF flow cytometry can be used to study mechanisms of postoperative neurocognitive dysfunction. CLINICAL TRIAL NUMBER AND REGISTRY URL: , https://clinicaltrials.gov/ct2/show/NCT01993836 (This manuscript describes a nested case-control study, performed within the larger cohort study, .)

Observational data have shown that some cancer survivors develop chronic conditions like frailty, sarcopenia, cardiac dysfunction, and mild cognitive impairment earlier and/or at a greater burden than similarly aged individuals never diagnosed with cancer or exposed to systemic or targeted cancer therapies. In aggregate, cancer- and treatment-related physical, cognitive, and psychosocial late- and long-term morbidities experienced by cancer survivors are hypothesized to represent accelerated or accentuated aging trajectories. However, conceptual, measurement, and methodological challenges have constrained efforts to identify, predict, and mitigate aging-related consequences of cancer and cancer treatment. In July 2018, the National Cancer Institute convened basic, clinical, and translational science experts for a think tank titled “Measuring Aging and Identifying Aging Phenotypes in Cancer Survivors.” Through the resulting deliberations, several research and resource needs were identified, including longitudinal studies to examine aging trajectories that include detailed data from before, during, and after cancer treatment; mechanistic studies to elucidate the pathways that lead to the emergence of aging phenotypes in cancer survivors; long-term clinical surveillance to monitor survivors for late-emerging effects; and tools to integrate multiple data sources to inform understanding of how cancer and its therapies contribute to the aging process. Addressing these needs will help expand the evidence base and inform strategies to optimize healthy aging of cancer survivors.

Advances in understanding fundamental processes of aging have led to a variety of investigational therapies to delay or prevent age-related diseases and conditions. These geroscience therapeutics hold the promise of revolutionizing medical care of older adults by treating the complex syndromes of aging and preserving health and independence. A crucial bottleneck is the study of geroscience therapeutics in early-stage, first-in-human, or proof-of-concept clinical trials. There is a limited pool of clinical investigators with the combination of knowledge and skills at the interface of clinical research, care of older adults, and aging biology needed to successfully design, fund, and implement geroscience trials. Current training pipelines are insufficient to meet the need. The sixth retreat of the National Institute on Aging R24 Geroscience Network brought together basic scientists, gerontologists, clinicians, and clinical researchers from the United States and Europe to discuss how to identify, recruit, and train investigators who can perform early-stage clinical trials in geroscience. We present herein the group's consensus on necessary subject domains and competencies, identification of candidate learners, credentialing learners, and the efficient and rapid implementation of training programs. Foundations and funding agencies have crucial roles to play in catalyzing the development of these programs. Geriatrician investigators are indispensable but cannot meet the need alone. Translational geroscience training programs can create a cadre of groundbreaking investigators from a variety of backgrounds and foster institutional cultures supportive of multidisciplinary translational aging research to turn innovative ideas into transformative therapeutics that can improve the health and independence of older adults. J Am Geriatr Soc 67:1934-1939, 2019.

Frailty has long been an important concept in the practice of geriatric medicine and in gerontological research, but integration and implementation of frailty concepts into clinical practice in the United States has been slow. The National Institute on Aging (NIA) Intramural Research Program and the Johns Hopkins Older Americans Independence Center sponsored a symposium to identify potential barriers that impede the movement of frailty into clinical practice and to highlight opportunities to facilitate the further integration of frailty into clinical practice. Primary and subspecialty care providers, and investigators working to integrate and translate new biological aging knowledge into more specific preventive and treatment strategies for frailty provided the meeting content. Recommendations included a call for more specific language that clarifies conceptual differences between frailty definitions and measurement tools; the development of randomized controlled trials to test whether specific intervention strategies for a variety of conditions differently affect frail and non-frail individuals; development of implementation studies and therapeutic trials aimed at tailoring care as a function of pragmatic frailty markers; the use of deep learning and dynamic systems approaches to improve the translatability of findings from epidemiological studies; and the incorporation of advances in aging biology, especially focused on mitochondria, stem cells, and senescent cells, toward the further development of biologically targeted intervention and prevention strategies that can be used to treat or prevent frailty. J Am Geriatr Soc 67:1559-1564, 2019.

OBJECTIVES To examine the association between self-reported vision impairment (VI), hearing impairment (HI), and dual-sensory impairment (DSI), stratified by dementia status, on hospital admissions, hospice use, and healthcare costs. DESIGN Retrospective analysis. SETTING Medicare Current Beneficiary Survey from 1999 to 2006. PARTICIPANTS Rotating panel of community-dwelling Medicare beneficiaries, aged 65 years and older (N = 24 009). MEASUREMENTS VI and HI were ascertained by self-report. Dementia status was determined by self-report or diagnosis codes in claims data. Primary outcomes included any inpatient admission over a 2-year period, hospice use over a 2-year period, annual Medicare fee-for-service costs, and total healthcare costs (which included information from Medicare claims data and other self-reported payments). RESULTS Self-reported DSI was present in 30.2% (n = 263/871) of participants with dementia and 17.8% (n = 4112/23 138) of participants without dementia. In multivariable logistic regression models, HI, VI, or DSI was generally associated with increased odds of hospitalization and hospice use regardless of dementia status. In a generalized linear model adjusted for demographics, annual total healthcare costs were greater for those with DSI and dementia compared to those with DSI without dementia ($28 875 vs $3340, respectively). Presence of any sensory impairment was generally associated with higher healthcare costs. In a model adjusted for demographics, Medicaid status, and chronic medical conditions, DSI compared with no sensory impairment was associated with a small, but statistically significant, difference in total healthcare spending in those without dementia ($1151 vs $1056; P

PURPOSE: Hospitalizations during cancer treatment are costly, can impair quality of life, and negatively affect therapy completion. Our objective was to identify risk factors for unplanned hospitalization among older adults receiving chemotherapy. METHODS: This is a secondary analysis of a multisite cohort study (N = 750) of patients ≥ 65 years of age evaluated with a geriatric assessment (GA) to predict chemotherapy toxicity. The primary outcome of this analysis was unplanned hospitalizations during treatment; the secondary outcome was length of stay (LOS) of the first hospitalization. Independent variables included pretreatment GA measures, laboratory values, cancer type and stage, and treatment intensity characteristics. We used logistic regression to estimate the odds of hospitalization and generalized linear models for LOS in multivariable analyses. RESULTS: The sample median age was 72 years (range, 65-94 years); 59% had stage IV disease. At least one unplanned hospitalization occurred in 193 patients (25.7%) during receipt of chemotherapy. In multivariable analyses controlling for cancer type, the following baseline characteristics were significantly associated with increased odds of hospitalization: needing help bathing or dressing (odds ratio [OR], 1.8; 95% CI, 1.0 to 3.1), polypharmacy (≥ 5 meds) (OR, 1.6; 95% CI, 1.1 to 2.4), more comorbid conditions (OR, 1.1; 95% CI, 1.0 to 1.3), availability of someone to take them to the doctor (OR, 2.0; 95% CI, 1.0 to 4.1), CrCl < 60 mL/min (OR, 1.7; 95% CI, 1.1 to 2.4), and albumin < 3.5 g/dL (OR, 1.8; 95% CI, 1.2 to 2.8). In multivariable analyses, older age, self-reported presence of liver or kidney disease, living alone and depressive symptoms were associated with longer LOS. CONCLUSION: Readily available GA variables and laboratory data, but not age, were associated with unplanned hospitalizations among older adults receiving chemotherapy. If validated, these data can inform prediction models and the design of interventions to decrease unplanned hospitalizations.

Objective:To determine the relationship between affective measures and cognition before and after non-cardiac surgery in older adults.Methods:Observational prospective cohort study in 103 surgical patients age ≥ 60 years old. All participants underwent cognitive testing, Center for Epidemiologic Studies-Depression, and State Anxiety Inventory screening before and 6 weeks after surgery. Cognitive test scores were combined by factor analysis into 4 cognitive domains, whose mean was defined as the continuous cognitive index (CCI). Postoperative global cognitive change was defined by CCI change from before to after surgery, with negative CCI change indicating worsened postoperative global cognition and vice versa.Results:Lower global cognition before surgery was associated with greater baseline depression severity (Spearman’s r = −0.30, p = 0.002) and baseline anxiety severity (Spearman’s r = −0.25, p = 0.010), and these associations were similar following surgery (r = −0.36, p < 0.001; r = −0.26, p = 0.008, respectively). Neither baseline depression or anxiety severity, nor postoperative changes in depression or anxiety severity, were associated with pre- to postoperative global cognitive change.Conclusions:Greater depression and anxiety severity were each associated with poorer cognitive performance both before and after surgery in older adults. Yet, neither baseline depression or anxiety symptoms, nor postoperative change in these symptoms, were associated with postoperative cognitive change.

Background Cancer-related cognitive decline (CRCD) has been linked to apolipoprotein E (APOE) gene ε4 polymorphisms. APOE ε4 polymorphisms are also the strongest genetic risk for late-onset Alzheimer disease (AD), whereas ε2 polymorphisms protect against AD. However, the effects of ε2 polymorphisms on CRCD have not been evaluated. Methods We evaluated nonmetastatic breast cancer survivors (n = 427) and matched noncancer controls (n = 407) ages 60-98 years assessed presystemic therapy from August 2010 to December 2017 with annual follow-up to 24 months. Neuropsychological assessment measured attention, processing speed, executive function, and learning and memory. Linear mixed-effects models tested the effects of having an ε2 allele (vs none) on longitudinal cognitive domain z scores by treatment group (chemotherapy with or without hormonal therapy, hormonal therapy, and control) controlling for covariates; participants with ε2/ε4 genotype were excluded. Sensitivity analyses examined effects of other covariates and any ε4 positivity. Results There was an interaction with genotype for attention, processing speed, and executive functioning domain scores (Beta = 0.32, 95% confidence interval = 0.00 to 0.65); the chemotherapy group with an ε2 allele had higher scores at baseline and maintained higher scores over time compared with those without an ε2 allele, and this protective effect was not seen for other groups. There was no effect of ε2 on learning and memory domain scores. Conclusions APOE ε2 polymorphisms may protect against CRCD in older breast cancer survivors receiving chemotherapy. With replication, this information could be useful for survivorship care and informing future studies of possible links to AD and defining mechanisms of protection.

ObjectivesThe aim of this study was to develop a single blood test that could determine gestational age and estimate the risk of preterm birth by measuring serum metabolites. We hypothesised that serial metabolic modelling of serum analytes throughout pregnancy could be used to describe fetal gestational age and project preterm birth with a high degree of precision.Study designA retrospective cohort study.SettingTwo medical centres from the USA.ParticipantsThirty-six patients (20 full-term, 16 preterm) enrolled at Stanford University were used to develop gestational age and preterm birth risk algorithms, 22 patients (9 full-term, 13 preterm) enrolled at the University of Alabama were used to validate the algorithms.Outcome measuresMaternal blood was collected serially throughout pregnancy. Metabolic datasets were generated using mass spectrometry.ResultsA model to determine gestational age was developed (R2=0.98) and validated (R2=0.81). 66.7% of the estimates fell within ±1 week of ultrasound results during model validation. Significant disruptions from full-term pregnancy metabolic patterns were observed in preterm pregnancies (R2=−0.68). A separate algorithm to predict preterm birth was developed using a set of 10 metabolic pathways that resulted in an area under the curve of 0.96 and 0.92, a sensitivity of 0.88 and 0.86, and a specificity of 0.96 and 0.92 during development and validation testing, respectively.ConclusionsIn this study, metabolic profiling was used to develop and test a model for determining gestational age during full-term pregnancy progression, and to determine risk of preterm birth. With additional patient validation studies, these algorithms may be used to identify at-risk pregnancies prompting alterations in clinical care, and to gain biological insights into the pathophysiology of preterm birth. Metabolic pathway-based pregnancy modelling is a novel modality for investigation and clinical application development.