Associations between frailty and cancer-specific mortality among older women with breast cancer

The association between social vulnerability index and survival in older adults with gastrointestinal cancers - The CARE Registry

INTRODUCTION

Older adults represent a majority of gastrointestinal (GI) cancer cases. Social determinants of health, such as neighborhood-level social vulnerability index (SVI), are associated with frailty, a predictor of mortality. The association between social vulnerability and survival is understudied.

MATERIALS AND METHODS

We evaluated 876 adults ≥60y with GI cancer enrolled in the Cancer & Aging Resilience Evaluation (CARE) Registry prior to chemotherapy. Exposure was the Center for Disease Control and Prevention's SVI in tertiles. SVI ranks census tracts between 0th and 100th percentile for lowest and highest vulnerability, respectively. Outcome was survival (enrollment to end of follow-up). Associations between SVI and survival were estimated using Cox proportional hazards models.

RESULTS

Median age of patients was 69y, 58 % were male, 22 % were non-Hispanic Black, 30 % had colorectal, 29 % had pancreatic cancer, and 70 % had stage III/IV disease. About 44 % of participants died in median 17 months follow-up. Frailty status differed by SVI tertile (tertile 1: 26.8 %; tertile 2: 34.3 %; tertile 3: 43.4 %, p-value: <0.001). Adjusting for age, sex, and cancer type/stage, those living in neighborhoods in the highest SVI tertile had 6 % higher hazard of death (95 % confidence interval [CI]: 0.8, 1.4) and in the second-highest tertile had 8 % higher hazard of death (95 % CI: 0.9, 1.4) compared to those in the lowest tertile. This association may be driven by the SVI housing characteristics theme [tertile 2: hazard ratio (HR) 1.40 (95 % CI: 1.09, 1.79); tertile 3: HR 1.20 (95 % CI: 0.93, 1.55)].

DISCUSSION

We did not find a statistically significant association between SVI and survival among older adults with GI cancers. Prior evidence of associations between SVI and overall area-level mortality may not reflect individual-level mortality specific to older adults. Prior evidence of associations between SVI and individual-level frailty among older adults with GI cancers suggests SVI may confer greater risk on development of frailty, which could indirectly impact survival. SVI of at-risk areas may need consideration when designing solutions to improve frailty among older adults with GI cancers, which could have a subsequent positive impact on mortality.

Impact of Pre-Existing Frailty on Cardiotoxicity Among Breast Cancer Patients Receiving Adjuvant Therapy

BACKGROUND

Prior research suggests that breast cancer patients with a high burden of frailty may face an increased risk of cardiotoxicity.

OBJECTIVES

This study sought to examine the association between frailty and cardiotoxicity rates in female breast cancer patients receiving adjuvant therapy after surgery.

METHODS

We analyzed data from the OneFlorida+ clinical research network, focusing on breast cancer patients treated with adjuvant chemotherapy and targeted therapy from 2012 to 2022. Cardiovascular rates during adjuvant treatments were calculated based on pre-existing frailty, measured using the cumulative deficit frailty index (electronic health record frailty index). We employed multivariable Gray's method to examine the association between frailty with cardiotoxicity.

RESULTS

The final cohort included 2,050 patients (mean age 50.6 years), with 415 (20.2%) experiencing nonfatal adverse cardiovascular events after adjuvant therapy. The incidence of adverse cardiovascular events was 17.8% in robust, 23.2% in prefrail, and 29.4% in frail patients. In multivariable analysis, prefrail (adjusted subdistribution HR [sHR]: 1.35; 95% CI: 1.06-1.71; P = 0.015) and frail (adjusted sHR: 1.70; 95% CI: 1.11-2.61; P = 0.015) patients had a higher likelihood of experiencing adverse cardiovascular events compared with robust patients. Among non-Hispanic White and Black patients, prefrail (adjusted sHR: 1.48; 95% CI: 1.04-2.11; P = 0.031; and adjusted sHR: 1.59; 95% CI: 1.06-2.37; P = 0.024, respectively) and frail (adjusted sHR: 1.96; 95% CI: 1.10-3.50; P = 0.022; and adjusted sHR: 2.13; 95% CI: 1.11-4.10; P = 0.023, respectively) patients were more likely to experience adverse cardiovascular events compared with robust patients. No significant differences were observed in other racial/ethnic groups.

CONCLUSIONS

These findings highlight the need for close monitoring of cardiotoxicity in frail breast cancer patients undergoing adjuvant treatments to improve cardiovascular risk management.

Digital humanistic program to manage premature frailty in young breast cancer survivors with gender perspective

Premature frailty is a critical challenge for young breast cancer survivors (YBCSs), impacting their health and perpetuating gender inequality through heightened vulnerability and marginalization. While digital health shows promise in frailty screening, its effectiveness for comprehensively managing frailty remains inconclusive. This randomized controlled trial, registered at the Chinese Clinical Trial Registry (ChiCTR2200058823), tests the "AI-TA" program's efficacy on premature frailty and quality of life in YBCSs. The intervention group received a gender- and generation-sensitive program combining artificial intelligence interactions and humanities skills. The control group received 12 weeks of online information support. Both groups improved in frailty dimensions (P < 0.05); the intervention group showed notable enhancements in psychological (P = 0.013) and social frailty (P < 0.001). Quality of life also improved more in the intervention group from T1 to T2 (β = 15.384, 95% CI:13.028-17.740, P < 0.001). Results show a gender- and generation-sensitive digital humanistic program can optimize frailty management, promoting survivorship and gender equity.

Frailty and Cancer Prognosis

PURPOSE OF REVIEW

This review aims to summarize the current evidence regarding the prognostic role of frailty in older patients diagnosed with cancer and to explore the evidence regarding its prognostic implications in cancer survivors.

RECENT FINDINGS

Frailty has been consistently associated with mortality/overall survival, postoperative complications, short- and long-term postoperative mortality, length of stay, among other adverse health-related outcomes in several oncological contexts. The possible association between frailty and treatment toxicity has been less explored, however most studies suggest frailty is a predictor of treatment induced toxicity. In addition, in cancer survivors, frailty is a risk factor for cardiovascular disease, incident type 2 diabetes mellitus, mortality, altered cognitive performance and increased symptom severity. Due to its usefulness in establishing prognosis and informing treatment decision making, it is expected that frailty screening and assessment will continue to gain popularity as part of the pretreatment evaluation of older patients with cancer.

Survival outcomes after breast cancer surgery among older women with early invasive breast cancer in England: population-based cohort study

BACKGROUND

This study assessed the influence of age, co-morbidity and frailty on 5-year survival outcomes after breast conservation surgery (BCS) with radiotherapy (RT) versus mastectomy (with or without RT) in women with early invasive breast cancer.

METHODS

Women aged over 50 years with early invasive breast cancer diagnosed in England (2014-2019) who had breast surgery were identified from Cancer Registry data. Survival estimates were calculated from a flexible parametric survival model. A competing risk approach was used for breast cancer-specific survival (BCSS). Standardized survival probabilities and cumulative incidence functions for breast cancer death were calculated for each treatment by age.

RESULTS

Among 101 654 women, 72.2% received BCS + RT and 27.8% received mastectomy. Age, co-morbidity and frailty were associated with overall survival (OS), but only age and co-morbidity were associated with BCSS. Survival probabilities for OS were greater for BCS + RT (90.3%) versus mastectomy (87.0%), and the difference between treatments varied by age (50 years: 1.9% versus 80 years: 6.5%). Cumulative incidence functions for breast cancer death were higher after mastectomy (5.1%) versus BCS + RT (3.9%), but there was little change in the difference by age (50 years: 0.9% versus 80 years: 1.2%). The results highlight the change in baseline mortality risk by age for OS compared to the stable baseline for BCSS.

CONCLUSION

For OS, the difference in survival probabilities for BCS + RT and mastectomy increased slightly with age. The difference in cumulative incidence functions for breast cancer death by surgery type was small regardless of age. Evidence on real-world survival outcomes among older populations with breast cancer is informative for treatment decision-making.

Frequency of use and characterization of frailty assessments in observational studies on older women with breast cancer: a systematic review

BACKGROUND

Breast cancer and frailty frequently co-occur in older women, and frailty status has been shown to predict negative health outcomes. However, the extent to which frailty assessments are utilized in observational research for the older breast cancer population is uncertain. Therefore, the aim of this review was to determine the frequency of use of frailty assessments in studies investigating survival or mortality, and characterize them, concentrating on literature from the past 5 years (2017-2022).

METHODS

MEDLINE, EMBASE and Cochrane Library were systematically queried to identify observational studies (case-control, cohort, cross-sectional) published from 2017-2022 that focus on older females (≥ 65 years) diagnosed with breast cancer, and which evaluate survival or mortality outcomes. Independent reviewers assessed the studies for eligibility using Covidence software. Extracted data included characteristics of each study as well as information on study design, study population, frailty assessments, and related health status assessments. Risk of bias was evaluated using the appropriate JBI tool. Information was cleaned, classified, and tabulated into review level summaries.

RESULTS

In total, 9823 studies were screened for inclusion. One-hundred and thirty studies were included in the final synthesis. Only 11 (8.5%) of these studies made use of a frailty assessment, of which 4 (3.1%) quantified frailty levels in their study population, at baseline. Characterization of frailty assessments demonstrated that there is a large variation in terms of frailty definitions and resulting patient classification (i.e., fit, pre-frail, frail). In the four studies that quantified frailty, the percentage of individuals classified as pre-frail and frail ranged from 18% to 29% and 0.7% to 21%, respectively. Identified frailty assessments included the Balducci score, the Geriatric 8 tool, the Adapted Searle Deficits Accumulation Frailty index, the Faurot Frailty index, and the Mian Deficits of Accumulation Frailty Index, among others. The Charlson Comorbidity Index was the most used alternative health status assessment, employed in 56.9% of all 130 studies. Surprisingly, 31.5% of all studies did not make use of any health status assessments.

CONCLUSION

Few observational studies examining mortality or survival outcomes in older women with breast cancer incorporate frailty assessments. Additionally, there is significant variation in definitions of frailty and classification of patients. While comorbidity assessments were more frequently included, the pivotal role of frailty for patient-centered decision-making in clinical practice, especially regarding treatment effectiveness and tolerance, necessitates more deliberate attention. Addressing this oversight more explicitly could enhance our ability to interpret observational research in older cancer patients.

Longitudinal changes in patient-reported cognitive complaints among older adults with gastrointestinal malignancies - results from the Cancer and Aging Resilience Evaluation (CARE) Registry

PURPOSE

Longitudinal change in patient-reported cognitive complaints (CC) in older adults with cancer is poorly understood. The purpose of this study was to evaluate early longitudinal CC and predictors among older adults with cancer.

METHODS

We examined early CC change on the PROMIS® Short Form4a Cognitive Function among adults ≥ 60 years with GI cancer enrolled in the Cancer and Aging Resilience Evaluation (CARE) undergoing geriatric assessment (GA) at baseline and one 3-6-month follow-up. Multivariable linear regression examined associations of demographics, socioeconomics, GA domains, baseline cognitive score, and treatment toxicities on follow-up cognitive score. Bayesian analysis of covariance (ANCOVA) determined best fitting model.

RESULTS

A total of 218 participants were included. The median follow-up was 3.7 months, the mean age was 69.2 ± 7.1, and 57.3% were male. The most common cancer was colorectal (30.7%) with most stage III/IV (73.7%). About half (51.8%) had stable cognition baseline to follow-up (follow-up t-score ± 5 points of baseline), 20.6% improved (≥ 5 increase), and 27.5% declined (≥ 5 decrease). After adjustment, there were no significant baseline predictors of follow-up cognitive t-score. Baseline t-score was the best-fitting predictor of follow-up t-score.

CONCLUSIONS

In this first study, examining early change in CC among older adults with cancer, ~ 28% exhibited cognitive decline. Baseline cognition is the most important early predictor of follow-up cognition. Longer follow-up is needed to identify long-term predictors of CC change in cancer survivors.

IMPLICATIONS FOR CANCER SURVIVORS

Cognitive decline, even early, may occur in many older adults with cancer. Baseline and regular follow-up assessments of cognitive symptoms are an important component of survivorship care.

The Impact of Frailty on Adjuvant Therapies Not Offered to or Declined by Breast Cancer Surgery Patients

INTRODUCTION

The impact of frailty on adjuvant therapies not offered to or declined by elderly breast cancer surgery patients has been understudied.

METHODS

This is a retrospective review of a prospectively managed single-center database including all breast cancer patients >65 years undergoing surgery in 2021. Frailty was determined using an electronic frailty index (eFI) derived from electronic health data. Patients were categorized as Fit (eFI ≤ .10), Pre-frail (.10 < eFI ≤.21), or Frail (eFI > .21). Chart review was performed to collect data on adjuvant therapies not offered or declined. Descriptive statistics and logistic regression were performed.

RESULTS

Of 133 patients, 16.5% were frail, 46.6% were pre-frail, and 36.8% were fit. Demographics were similar among groups except age and comorbidities. Of those with adjuvant therapy indicated (n = 123), 15.4% were not offered at least one indicated therapy. Of those offered therapy, some therapy was declined in 22.7%. Frail patients more often were not offered or declined some therapy (frail: 63.2%, pre-frail 36.2%, fit: 28.2%, P = .03). Frailty was associated with having some therapy not offered or declined on univariate modeling (OR 4.4 95% CI 1.4-13.5, P = .01) but not on multivariate. Being frail was associated with higher odds of readmission at 6 months on multivariate analysis (OR 9.5, 95% CI: 1.7-54.2. P = .01).

CONCLUSION

Over half of frail patients are not offered or decline some adjuvant therapy. The impact of this requires further study. Given their higher odds of readmission, frail patients require close postoperative monitoring to prevent the interruption of adjuvant therapies.

Associations of physical frailty with incidence and mortality of overall and site-specific cancers: A prospective cohort study from UK biobank

OBJECTIVE

Evidence regarding the role of physical frailty in cancer-related outcomes is limited. We aimed to examine the association of frailty with cancer incidence and mortality risk.

METHODS

This prospective study included 348,144 participants free of cancer at baseline from the UK Biobank. Frailty phenotypes (non-frail, pre-frail, and frail) were constructed from 5 components: weight loss, exhaustion, low physical activity, slow gait speed, and low grip strength. The outcome was incidence and mortality of overall and cite-specific cancers. Cox proportional hazard regression was used to estimate the association of frailty phenotypes with cancer incidence and mortality risk.

RESULTS

A total of 43,304 incident cancer cases and 10,152 cancer deaths were documented during a median of 12.0 years of follow-up. For overall cancer, compared with non-frailty, the incidence risk increased by 4% for pre-frailty and 11% for frailty, and the mortality risk increased by 11% for pre-frailty and 39% for frailty. Frailty phenotypes were also dose-dependently associated with a higher risk of incidence and mortality of some site-specific cancers (including liver and lung), with significant sex differences. We observed a synergetic association of frailty phenotypes and smoking with overall cancer incidence and mortality risk.

CONCLUSIONS

Frailty phenotypes contributed significantly to a higher risk of overall and some site-specific cancers incidence and mortality in a stepwise manner or within individual categories. Future studies are warranted to emphasize the identification, management and prevention of frailty in the whole population and complements of lifestyle-targeted interventions such as quitting smoking.

Comparison of Frailty Criteria, Cognitive Function, Depressive and Insomnia Symptoms in Men with Localized and Advanced Prostate Cancer under Androgen Deprivation Therapy

BACKGROUND

Prostate cancer (PCa) is considered one of the most important medical problems in the male population, with a very high incidence after the age of 65. Frailty represents one of the most critical issues facing healthcare due to its inherent relationship with poor healthcare outcomes. The physical phenotype of frailty syndrome based on Fried criteria has been associated with poor outcomes, morbidity, and premature mortality. To date, there are few studies that have analyzed frailty syndrome in patients with localized and advanced (mPCa) disease under androgen-deprivation therapy.

OBJECTIVE

Our goal was to assess whether there are differences in frailty criteria between mPCa and localized PCa. We also evaluated the role of other geriatric variables such as depressive and insomnia symptoms, which are frequently reported in cancer patients.

METHODS

In this cross-sectional study, frailty syndrome was evaluated in both groups, as well as its possible relationship with cognitive functions, depressive and insomnia symptoms, and other clinical variables related to PCa and its treatment. Frailty was defined on Fried's criteria: low lean mass, weakness, self-reported exhaustion, low activity level, and slow walking speed; prefrailty was defined as having one or two of those criteria and frailty as having three or more, depressive symptoms were defined by the Yesavage scale, cognitive functions with the Mini-Mental examination test, and insomnia symptoms by the Athens scale and self-reported health status.

RESULTS

The prevalence of prefrailty/frailty was slightly higher in mPCa compared to localized PCa (81.5% versus 72.3%, respectively), however by analyzing each of the frailty criteria, two of them were significantly reduced in mPCa compared to localized PCa patients, e.g., gait speed (p = 0.001) and muscle strength (p = 0.04). The reduced gait speed and muscle strength in mPCa were not due to the increased age in mPCa group, or to an increase in comorbidities or shorter time under androgen-deprivation therapy. The symptoms of insomnia were significantly higher in mPCa patients compared to those with localized PCa (p < 0.05) whereas cognitive functions or depressive symptoms were not significantly different between the two groups.

CONCLUSION

Patients with mPCa under androgen-deprivation therapy display higher alterations in gait speed and muscular strength and insomnia symptoms, thus interventions should be aimed to reduce these alterations in order to limit adverse outcomes related to them and to improve quality of life in these patients.

Cross-cultural adaptation and validation of the geriatric 8 screening tool in Chinese hospitalized older adults with cancer

OBJECTIVES

To translate, cross-culturally adapt, and validate the Geriatric 8 (G8) questionnaire in Chinese hospitalized older adults with cancer.

METHODS

The Chinese version of the G8 (C-G8) was produced following Brislin's guidelines. The psychometric properties of the C-G8 were evaluated among 296 eligible patients.

RESULTS

The content validity index of the C-G8 was 0.8∼1 at the item level and 0.975 at the scale level. The C-G8 identified more frail individuals among these older (>75 years) participants compared to their younger (65∼75 years) counterparts (frailty prevalence: 87.1% vs. 70.9%, P=0.010). The convergent validity of the C-G8 was tested by correlating it with the FRAIL scale (r=-0.592, P<0.001). The C-G8 had a lower internal consistency (Cronbach's α coefficient=0.501) but higher test-retest reliability and inter-rater reliability (intraclass correlation coefficient=0.913 and 0.993, respectively, P<0.001).

CONCLUSIONS

The C-G8 questionnaire presented acceptable validity and reliability and could be used in Chinese hospitalized older adults with cancer.

Frailty in Patients With Lung Cancer: A Systematic Review and Meta-Analysis

BACKGROUND

Previous studies regarding the prevalence of frailty in patients with lung cancer and mortality in frail patients with lung cancer are inconsistent and require clarification.

RESEARCH QUESTION

What is the prevalence and impact of frailty in patients with lung cancer?

STUDY DESIGN AND METHODS

This systematic review and meta-analysis used a combination of free-text terms and medical subject headings terms, according to the database requirements in MEDLINE/PubMed, Scopus, and Cochrane Library from inception until November 15, 2020.

RESULTS

A total of 2,571 articles were identified, and 16 articles involving 4,183 patients were included for study. The prevalence of frailty in lung cancer was 45% (95% CI, 28-61; I² = 99.5%; P < .0001). In patients with lung cancer, frailty was associated with an increased hazard ratio for mortality (hazard ratio, 3.01; 95% CI, 1.77-5.10; P < .001).

INTERPRETATION

The prevalence of frailty in lung cancer is 45%, which has a significant negative impact on survival of patients with lung cancer. These results highlight the importance of measuring frailty, which provides important prognostic information, and may provide opportunities for interventions to improve outcomes in patients with lung cancer.

Androstenedione and Follicle-Stimulating Hormone Concentration Predict the Progression of Frailty Syndrome at One Year Follow-Up in Patients with Localized Breast Cancer Treated with Aromatase Inhibitors

Background: The standard treatment in postmenopausal women with estrogen- and progesterone-positive localized breast cancer consists of aromatase inhibitors (AROi). The ability of AROi to promote or worsen frailty syndrome over time and the relationship with changes in gonadal hormones concentration in blood have not been investigated. Methods: A prospective study to evaluate the relationship between frailty syndrome and gonadal hormones concentrations in blood at baseline (prior to AROi treatment) and after 6 and 12 months under AROi treatment in post-menopausal women with breast cancer. Frailty syndrome was evaluated by the Fried’ criteria. We evaluated whether hormone concentration at baseline could predict frailty syndrome at follow-up. Results: Multinomial regression analysis showed that of the different hormones, those significantly (p < 0.05) associated to the worsening of frailty syndrome were high androstenedione levels and low follicle-stimulating hormone (FSH) levels in blood. Receiver operating characteristic curve analysis showed both androstenedione and FSH significantly (p < 0.05) discriminate patients who developed or presented worsening of frailty syndrome over time, with acceptable sensitivity (approximately 80% in both cases) but low specificity (40%). Conclusion: Hormonal concentrations before AROi treatment constitute possible biomarkers to predict the progression of frailty syndrome.