Association of Prediagnostic Frailty, Change in Frailty Status, and Mortality After Cancer Diagnosis in the Women's Health Initiative

Functional resilience and overall survival in adults treated for advanced non-small-cell lung cancer

PURPOSE

As more treatments emerge for advanced, stage IV non-small-cell lung cancer (NSCLC), oncologists have difficulty predicting functional resiliency versus functional decline throughout cancer treatment. Our study evaluates functional resilience among patients with advanced NSCLC.

METHODS

Functional status was evaluated through 12 months of follow-up based on disability score using the modified EQ-5D-5L (mEQ-5D-5L) survey. Participants were classified into 4 groups: functional maintenance, decline, resilient, or variable. Characteristics of 207 participants with newly diagnosed NSCLC included demographics, comorbidities, baseline Eastern Cooperative Oncology Group (ECOG) performance status (PS), mEQ-5D-5L scores, psychological symptoms, and lung cancer-specific symptoms. Treatment toxicity and grade were recorded. Resilience was defined as improvement from baseline disability scores. A 1-point increase in functional status score represents a 0.5 standard deviation change on the mEQ-5D-5L. Differences between the 4 groups were determined through Fisher's exact test or ANOVA. Kaplan-Meier curves describe overall survival (baseline through 18 months) stratified by baseline mEQ-5D-5L scores.

RESULTS

Among participants, 42.0 % maintained functional status, 37.7 % experienced functional decline, 10.6 % were resilient, and 9.7 % had variable functional status. Participants with the best baseline function (score of 0) had the longest overall survival and participants with the worst baseline function (score of 5 + ) had the shortest overall survival. Among the healthiest patients, early score increases indicated shorter overall survival. Baseline ECOG PS was not associated with overall survival (p = 0.47).

CONCLUSION

Baseline functional status may help better predict functional resiliency and overall survival than ECOG PS among patients receiving treatment for advanced NSCLC.

Role of frailty in predicting prognosis of older patients with lung cancer: An updated systematic review and meta-analysis

INTRODUCTION

Frailty is a syndrome affecting primarily older adults that can impact disease course, treatment, and outcomes in patients with lung cancer (LC). We systematically reviewed current data on the correlation between frailty and overall survival (OS), recurrence-free survival (RFS), and the risk of complications in older patients with LC.

MATERIALS AND METHODS

PubMed, EMBASE, and Scopus databases were searched for observational cohort, cross-sectional, and case-control studies involving participants aged 18 years or older diagnosed with LC. Eligible studies were required to perform frailty assessments and have non-frail participants as a comparator group. Random-effects models were used for analysis, and the reported effect sizes were represented as hazards ratio (HR) or odds ratios (OR) with associated 95% confidence intervals (CI).

RESULTS

Seventeen studies were included, most with a retrospective cohort design (n = 16) and patients with non-small cell lung carcinoma (NSCLC). Older patients with LC and frailty had lower OS (HR 1.70, 95% CI: 1.39, 2.07) and RFS (HR 2.50, 95% CI: 1.02, 6.12), compared to non-frail subjects. Frail subjects also had increased risk of complications (OR 1.89, 95% CI: 1.42, 2.53).

DISCUSSION

The observed association between frailty and OS, RFS, and an increased susceptibility to complications emphasizes the potential significance of frailty status as a substantial prognostic indicator. Our results underscore the vital role of including frailty assessment as an integral element within the management plan for patients dealing with lung cancer.

Resistance Exercise and Skeletal Muscle-Related Outcomes in Patients with Cancer: A Systematic Review

BACKGROUND

Skeletal muscle loss is prevalent throughout the cancer continuum and correlated with morbidity and mortality. Resistance exercise has been trialed to mitigate skeletal muscle loss. This systematic review summarizes and qualitatively synthesizes the effects of resistance exercise on muscle-related outcomes in adult cancer populations, including skeletal muscle mass, performance and muscle-related biomarkers.

METHODS

The systematic review protocol was developed in accordance with the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA-P). We searched electronic databases including AMED, CENTRAL, CINAHL, CIRRIE, EMBASE, MEDLINE, PEDro, REHABDATA, Scopus, and SPORTDiscus from inception to December 2021. We included randomized controlled trials that investigated the effects of resistance exercise on muscle-related outcomes in adult cancer populations. Interventions that involved any resistance exercise were included. Muscle-related outcomes were categorized as skeletal muscle mass (e.g., lean mass, appendicular muscle mass), muscle performance (e.g., muscle strength, physical function), and muscle-related biomarkers (e.g., muscle cells, metabolic/inflammatory markers). Risk of bias (RoB) was assessed using the Cochrane ROB tool.

RESULTS

A total of 102 studies from 101 randomized controlled trials were included. The majority of studies focused on breast cancer (46%) and those who completed treatment (43%). Resistance exercise interventions were largely 3-4 months long (48%), combined with aerobic exercise (56%), at a vigorous intensity (25%), and in-person/supervised settings (57%). Among the studies assessing muscle mass, performance, and biomarkers ( n = 42, 83, and 22, respectively), resistance exercise interventions improved upper/lower body or appendicular muscle mass (67%-100%), muscle strength (61%-68%), and physical function (74%-100%). Most biomarkers did not show significant changes (75%-100%) or showed inconsistent results.

CONCLUSIONS

Generally, resistance exercise had positive effects on skeletal muscle mass and performance with no negative effects compared to controls. Our findings demonstrated that resistance exercise may be an effective strategy to attenuate deterioration or exert improvements in muscle mass and performance outcomes.

Frailty in patients with ovarian cancer and the role of healthcare access, race, and ethnicity

OBJECTIVE

Ovarian cancer has poor 5-year survival, particularly among non-Hispanic (NH) Black patients. Efforts to identify patients at high-risk of functional limitations and frailty may improve outcomes. In this study, we examined how healthcare access (HCA) and race/ethnicity relate to frailty among patients with ovarian cancer.

METHODS

We identified Hispanic, NH Black, and NH White patients diagnosed at ages ≥6 5 years with ovarian cancer between 2009 and 2015 using SEER-Medicare. Log-binomial regression was used to estimate prevalence ratios (PRs) and 95% confidence intervals (CIs) for the association between HCA and race/ethnicity with pre- or post-diagnosis frailty, adjusting for age and comorbidities.

RESULTS

A total of 6041 patients with ovarian cancer were included, including 91.8% NH White, 6.6% NH Black, and 1.7% Hispanic. Pre-diagnosis, 14.7% of patients were defined as frail (NH White: 14.3%; NH Black: 17.9%; Hispanic: 20.8%). Post-diagnosis, frailty prevalence increased to 58.8% (NH White: 58.2%; NH Black: 65.2%; Hispanic: 70.2%). No statistically significant associations were observed between race/ethnicity and pre- or post-diagnosis frailty in fully adjusted models. After adjustment for patient characteristics and healthcare accessibility and availability, higher healthcare affordability was associated with a decreased prevalence of pre-diagnosis frailty (PR: 0.91, 95% CI: 0.8 5, 0.98).

CONCLUSIONS

Patients with ovarian cancer have a high prevalence of frailty after diagnosis, particularly NH Black and Hispanic patients. Improving healthcare affordability may prevent or help manage frailty in Medicare patients, improve receipt of cancer treatment, and increase cancer survival.

Frailty and sarcopenia in patients with cirrhosis awaiting liver transplantation: evidence from a single-centre, prospective cohort study

Sarcopenia and frailty are common complications in patients with cirrhosis evaluated for liver transplantation (LT). Although the negative impact of sarcopenia on patient's outcome has been well studied, the prognostic role of frailty is not as clear. We assessed the prevalence of sarcopenia and frailty and the clinical impact of frailty in a prospective cohort of cirrhosis patients with and without hepatocellular carcinoma (HCC) listed for LT. Patients with cirrhosis were prospectively recruited at the time of admission into the waiting list. Clinical and lab values were collected. Physical frailty was assessed by liver frailty index (LFI) and patients were categorized into robust (< 3.2); pre-frail (between 3.2 and 4.5), and frail (> 4.5). Skeletal muscle mass was evaluated via skeletal muscle index (SMI) obtained from last CT scan before LT; sarcopenia was defined by SMI < 50 cm2/m2 in males and < 39 cm2/m2 in females. 105 patients were included, of which 42 (40%) had hepatocellular carcinoma (HCC). In patients without HCC (63.5% males, median age 61 years), 36.5% were frail, 50.8% were pre-frail and 12.7% were robust. Frail patients were older than non-frail patients (63 vs. 56; p = 0.008) and had more severe liver disease (Child C: 65% vs. 37.5%; p = 0.02). Prevalence of sarcopenia in patients without HCC was 63%, with similar value of median SMI between frail and not frail patients (p = 0.454). Patients with HCC (78.6% males, 65 years old) were 21.4% frail, 61.9% pre-frail, and 16.7% robust. Frail patients had more severe liver disease (Child C: 77% vs. 18.2%; p = 0.004), whereas age was comparable to non-frail patients; among patients without HCC, during a median follow-up of 263 days, 17% died (of which 72% were frail) and 10 patients were delisted due to clinical improvement (none of whom were frail). Among those with HCC, during a median follow-up of 289 days, 4 (9%) patients died of which 50% were frail. Frailty and sarcopenia are common complications in patients with cirrhosis awaiting LT. Frailty appears to be associated with an increased risk of mortality during wait-list time especially in those with decompensated cirrhosis. At univariate analysis Meld score, Child score and presence of frailty were found to be associated with shorter survival, however, at multivariate analysis presence of frailty and Child C vs. A/B were the only independent predictor of death. Larger cohorts are required to confirm these results.

Can strength training or tai ji quan training reduce frailty in postmenopausal women treated with chemotherapy? A secondary data analysis of the GET FIT trial

PURPOSE

To determine whether strength training or tai ji quan can reduce frailty in older, postmenopausal women treated with chemotherapy for cancer.

METHODS

We conducted a secondary data analysis from a 3-arm, single-blind, randomized controlled trial where older (50-75 years), postmenopausal women cancer survivors were randomized to supervised group exercise programs: tai ji quan, strength training, or stretching control for 6 months. We assessed frailty using a 4-criteria model consisting of weakness, fatigue, inactivity, and slowness. Using logistic regression, we determined whether the frailty phenotype (pre-frailty or frailty) decreased post-intervention, how many and which frailty criteria decreased, and what characteristics identified women most likely to reduce frailty.

RESULTS

Data from 386 women who completed baseline and 6-month testing were used (mean age of 62.0 ± 6.4 years). The odds of reducing overall frailty over 6 months were significantly higher in the strength training group compared to controls (OR [95%CI] 1.86 [1.09, 3.17]) but not for tai ji quan (1.44 [0.84, 2.50]). Both strength training (OR 1.99 [1.10, 3.65]) and tai ji quan (OR 2.10 [1.16, 3.84]) led to significantly higher odds of reducing ≥ 1 frailty criterion compared to controls. Strength training led to a three-fold reduction in inactivity (p < 0.01) and tai ji quan to a two-fold reduction in fatigue (p = 0.08) versus control. Higher baseline BMI, comorbidity score, and frailty status characterized women were more likely to reduce frailty than other women.

CONCLUSIONS

Strength training appears superior to tai ji quan and stretching with respect to reducing overall frailty phenotype among postmenopausal women treated with chemotherapy for cancer, but tai ji quan favorably reduced the number of frailty criteria.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: GET FIT was registered as a clinical trial in clinicaltrials.gov: NCT01635413.

IMPLICATIONS FOR CANCER SURVIVORS

Supervised, group exercise training that emphasizes strength training and/or tai ji quan may help combat accelerated aging and reduce frailty after cancer treatment.

Comparative effectiveness of treatment approaches for early invasive breast cancer

BACKGROUND

Randomized controlled trials (RCTs) suggested breast conserving therapy (BCT) and mastectomy have similar survival for early-stage breast cancer, whereas observational studies reported survival advantage for BCT. We aimed to address biases in observational studies to compare the effect of BCT and mastectomy on survival.

METHODS

We emulated a target trial using institutional cancer registry. We included adult women diagnosed with early invasive first primary breast tumors ≤ 5 cm between July 2011 and December 2017. We used cloning, censoring, and weighting to estimate risk differences (RDs) and risk ratios (RRs) for all-cause mortality and recurrence or all-cause mortality between BCT and mastectomy (reference).

RESULTS

Our study population comprised 534 observations with breast cancer. Median age was 56 years and 65 % were racial/ethnic minorities. The 8-year RD was 1.5 % (95 % confidence limits [CL]: -7.0 %, 9.8 %) and RR was 1.1 (95 % CL: 0.57, 2.2) for all-cause mortality. Results for recurrence or mortality were similar.

CONCLUSIONS

Our results suggest that target trial emulation to mitigate selection and immortal-time biases in observational studies may generate estimates that are more compatible with RCTs when comparing the effects of BCT and mastectomy on survival. Studies with longer follow-up and more events are needed to confirm our findings.

Post-diagnosis physical activity and sedentary behaviour and colorectal cancer prognosis: A Global Cancer Update Programme (CUP Global) systematic literature review and meta-analysis

Low physical activity and high sedentary behaviour have been clearly linked with colorectal cancer development, yet data on their potential role in colorectal cancer survival is limited. Better characterisation of these relationships is needed for the development of post-diagnosis physical activity and sedentary behaviour guidance for colorectal cancer survivors. We searched PubMed and Embase through 28 February 2022 for studies assessing post-diagnosis physical activity, and/or sedentary behaviour in relation to all-cause and cause-specific mortality and recurrence after colorectal cancer diagnosis. Total and recreational physical activity were assessed overall and by frequency, duration, intensity, and volume using categorical, linear, and non-linear dose-response random-effects meta-analyses. The Global Cancer Update Programme (CUP Global) independent Expert Committee on Cancer Survivorship and Expert Panel interpreted and graded the likelihood of causality. We identified 16 observational studies on 82,220 non-overlapping patients from six countries. Physical activity was consistently inversely associated with colorectal cancer morbidity and mortality outcomes, with 13%-60% estimated reductions in risk. Sedentary behaviour was positively associated with all-cause mortality. The evidence had methodological limitations including potential confounding, selection bias and reverse causation, coupled with a limited number of studies for most associations. The CUP Global Expert panel concluded limited-suggestive evidence for recreational physical activity with all-cause mortality and cancer recurrence. Total physical activity and its specific domains and dimensions, and sedentary behaviour were all graded as limited-no conclusion for all outcomes. Future research should focus on randomised trials, while observational studies should obtain objective and repeated physical activity measures and better adjustment for confounders.

Frailty and all-cause and cancer-related mortality in cancer patients: A prospective cohort study

PURPOSE

To evaluate the associations between frailty and all-cause and cancer-related mortality. Additionally, the objective is to compare the magnitude of these associations between older adults and younger adults.

METHODS

We gathered baseline data from NHANES (1999-2018) and developed a cumulative index consisting of 39 items to evaluate frailty. The National Death Index database was utilized to track the survival status of individuals. The Cox regression model was employed to estimate the associations between frailty status and all-cause and cancer-related mortality.

RESULTS

Ultimately, 3398 cancer patients were included in the analysis, comprising 910 younger adults and 2488 older adults. Compared to non-frail patients, the elevated all-cause and cancer-related mortality among pre-frail patients was not statistically significant (HRs = 1.312, 95%CI: 0.956-1.800, P = 0.092; HRs = 1.462, 0.811-2.635, P = 0.207). However, a significant elevation of both all-cause and cancer-related mortality risk was observed among frail patients (HRs = 2.213, 1.617-3.030, P < 0.001; HRs = 2.463, 95%CI = 1.370-4.429, P = 0.003). Frailty individuals demonstrated a more pronounced association with the prediction of all-cause mortality in younger (HRs = 2.230, 1.073-4.634, P = 0.032) than in older adults (HRs = 2.090, 1.475-2.960, P < 0.001). Sensitivity analysis consistently revealed robust results. RCS plots suggested a progressively escalating dose-response correlation between frailty and both all-cause and cancer-related mortality risk.

CONCLUSIONS

Pre-frailty did not result in an increase in mortality risks compared to non-frailty. However, frailty caused a higher all-cause and cancer-related mortality risk than non-frailty. Identifying those at risk and implementing targeted interventions may contribute to extending healthy life expectancy, regardless of age.

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.

The Impact of Frailty on Chemotherapy Outcomes in Patients With Digestive System Tumors: A Systematic Review and Meta-analysis

BACKGROUND

The prevalence of patients with digestive system tumors has been high. In recent years, frailty has been considered to be associated with poor prognosis of digestive system tumors, but there are conflicting research results. A better understanding of the relationship between frailty and outcomes after chemotherapy can help advance the development of oncology care.

OBJECTIVE

The aim of this study was to evaluate the effects of prechemotherapy frailty on chemotherapy toxicity, overall mortality, unplanned hospitalization, and overall survival in patients with digestive system tumors.

METHODS

Up to April 2023, observational studies assessing the impact of frailty on chemotherapy outcomes in patients with digestive system tumors were collected through searching 10 online research databases. Two evaluators independently extracted literature based on the inclusion and exclusion criteria and evaluated the quality of the studies using the Newcastle-Ottawa Scale.

RESULTS

Eventually, 11 cohort studies encompassing 2380 patients were included. The meta-analysis revealed that the frail group exhibited an increased risk of overall mortality, with poorer overall survival than the nonfrail group.

CONCLUSION

Frailty increases the risk of chemotherapy-induced toxic effects, unplanned hospitalization, and death in patients. However, because of this study's limited number of participants, large-sample, multicenter studies to verify these findings are required.

IMPLICATIONS FOR PRACTICE

This study provides theoretical support for incorporating frailty assessment into the nursing evaluation of patients with digestive system tumors before chemotherapy. This integration aids in predicting patients at a high risk of chemotherapy toxicity, mortality, and unplanned hospitalization, therefore providing corresponding interventions in advance to reduce adverse outcomes.

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.

Preoperative frailty screening in elderly patients with non-small cell lung cancer surgery: an essential step for a good surgical outcome

INTRODUCTION

Non-small cell lung cancer (NSCLC) is a disease commonly diagnosed in the elderly, often in advanced stages. However, elderly patients with lung cancer can benefit from surgery, provided that postoperative risks are assessed appropriately before surgery. Frailty is a measure of age-related impaired functional status and a predictor of mortality and morbidity. However, its importance as a preoperative marker is not well defined.

AREAS COVERED

This systematic review discusses the importance of preoperative frailty screening in elderly patients with NSCLC. A literature search was performed on the MEDLINE database in June 2023, and relevant studies on frailty or preoperative assessment of NSCLC which were published between 2000 and 2023 were retained and discussed in this review.

EXPERT OPINION

Among the types of existing methods used to assess frailty those on the geriatric assessment seem to be the most appropriate; however, they are unable to fully capture the 'surgical' frailty; thus, other instruments should be developed and validated in NSCLC.

Screening for Frailty Using the FRAIL Scale in Older Cancer Survivors: A Cross-sectional Comparison With the Fried Phenotype

OBJECTIVES

To examine the diagnostic performance of the FRAIL Scale for frailty screening with reference to the Fried phenotype and investigate its association with health outcomes in older cancer survivors.

DATA SOURCE

In this cross-sectional quantitative study, participants were post-treatment cancer survivors aged 65 or above. Measurements included the FRAIL Scale, Fried phenotype, Geriatric Depression Scale-15 item, Modified Barthel Inventory, and EORTC Core Quality of Life Questionnaire. Receiver operating characteristic curve analysis was performed to evaluate the diagnostic performance of the FRAIL Scale with reference to the Fried phenotype. Health outcomes associated with being frail as estimated by the FRAIL Scale and Fried phenotype were also examined using regressions.

RESULTS

Based on 293 older cancer survivors, the area under curve (AUC) of the FRAIL Scale was 0.79, and the optimal cut-off of 1 yielded a sensitivity of 92% and specificity of 41%. According to regression results, the FRAIL Scale was modified by adding an item on time since cancer treatment completion (AUC = 0.81), and using a cut-off of 2 for older cancer survivors, which yielded a sensitivity of 74% and specificity of 67%. The modified FRAIL Scale was associated with depressive symptoms, functional independence, fatigue, dyspnea, physical functioning, and role functioning.

CONCLUSIONS

The modified FRAIL Scale is proposed for use in older cancer survivors, and a cut-off of 2 should be used.

IMPLICATIONS FOR NURSING PRACTICE

The modified FRAIL Scale can serve as a brief screening tool for identifying frailty among older cancer survivors in practice.

Frailty worsens long-term survival in patients with colorectal cancer: a systematic review and meta-analysis

Background

Colorectal cancer (CRC) is the 3rd most common cancer in men and 2nd most common malignancy in females across the globe leading to high mortality rates. Frailty is an age-related syndrome that has been associated with high morbidity and mortality. This systematic review aimed to examine if frailty can predict long-term (>1 year) outcomes of patients with CRC.

Methods

This PROSPERO registered review examined the databases of PubMed, Embase, and Web of Science till 4th September 2023 for cohort studies assessing the association between frailty and long-term outcomes of CRC.

Results

15 studies with 45288 patients were included. 6573 patients (14.5%) were frail. Meta-analysis demonstrated that frailty was associated with statistically significant poor overall survival (OS) (HR: 2.11 95% CI: 1.44, 3.08 I2 = 94%) (14 studies), cancer-specific survival (CSS) (HR: 4.59 95% CI: 2.75, 7.67 I2 = 38%) (2 studies), and disease-free survival (DFS) (HR: 1.46 95% CI: 1.28, 1.66 I2 = 0%) (5 studies) after CRC. Subgroup analysis for OS based on study type, location, sample size, stage of cancer, percentage with frailty, treatment, adjustment for CRC stage and comorbidities, and follow-up did not change the results. These results were not altered in significance on sensitivity analysis.

Conclusion

Our results show that frail CRC patients have poor OS and DFS as compared to non-frail patients. Variations in frailty measurement tools and high inter-study heterogeneity are major limitations of the review.

Systematic review registration

https://www.crd.york.ac.uk/prospero/, PROSPERO, CRD42023450586.

Impact of Frailty on Short-Term Outcomes of Hepatic Lobectomy in Patients with Intrahepatic Cholangiocarcinoma: Evidence from the US Nationwide Inpatient Sample 2005-2018

INTRODUCTION

This study aimed to evaluate associations between frailty and outcomes in patients with intrahepatic cholangiocarcinoma (ICC) undergoing hepatic lobectomy using a large, nationally representative sample.

METHODS

This population-based, retrospective observational study extracted the data of adults ≥20 years old with ICC undergoing hepatic lobectomy from the US Nationwide Inpatient Sample database between 2005 and 2018. Frailty was assessed by the validated Hospital Frailty Risk Score (HFRS). Associations between frailty and surgical outcomes were analyzed using logistic regression analyses.

RESULTS

After exclusions, 777 patients were enrolled, including 427 frail and 350 non-frail. Patients' mean age was 64.5 (±0.4) years and the majority were males (51.1%) and whites (76.5%). Frailty was significantly associated with increased odds of in-hospital mortality (aOR: 18.51, 95% CI: 6.70, 51.18), non-home discharge (aOR: 3.58, 95% CI: 2.26, 5.66), prolonged LOS (aOR: 5.56, 95% CI: 3.87, 7.99), perioperative cardiac arrest/stroke (aOR: 5.44, 95% CI: 1.62, 18.24), acute respiratory distress syndrome (ARDS)/respiratory failure (aOR: 3.88, 95% CI: 2.40, 6.28), tracheostomy/ventilation (aOR: 3.83, 95% CI: 2.23, 6.58), bleeding/transfusion (aOR: 1.67, 95% CI: 1.24, 2.26), acute kidney injury (AKI) (aOR: 14.37, 95% CI: 7.13, 28.99), postoperative shock (aOR: 4.44, 95% CI: 2.54, 7.74), and sepsis (aOR: 11.94, 95% CI: 6.90, 20.67).

DISCUSSION/CONCLUSION

Among patients with ICC undergoing hepatic lobectomy, HFRS-defined frailty is a strong predictor of worse in-patient outcomes, including in-hospital death, prolonged LOS, unfavorable discharge, and complications (perioperative cardiac arrest/stroke, ARDS/respiratory failure, tracheostomy/ventilation, bleeding/transfusion, AKI, postoperative shock, and sepsis). Study results may help stratify risk in frail patients undergoing hepatic resection for ICC.

Relationship between frailty and nutrition: Refining predictors of mortality after primary cytoreductive surgery for ovarian cancer

OBJECTIVE

We aimed to examine the interplay between frailty and nutritional status on 90-day mortality after primary cytoreductive surgery (PCS) for ovarian cancer (OC).

METHODS

Patients with OC who underwent PCS from 1/2/2006-4/30/2018 at a single institution were identified. Frailty index (FI) includes 30 items and is calculated summing across all the item scores and dividing by the total; frailty was defined as FI ≥0.15. Nutritional status was considered impaired when preoperative serum albumin was <3.5 g/dL. Logistic regression was used to analyze the association between FI (continuous) and albumin status (binary) and 90-day postoperative mortality.

RESULTS

A total of 533 patients (mean age, 64.4 years) were included, the majority were stage IIIC disease and serous histology. Albumin was <3.5 g/dL in 87 patients (16.3%) and 113 patients (21.2%) were considered frail. Median FI was 0.07 (IQR 0.03, 0.13). Postoperative 90-day mortality occurred in 24 patients (4.5%). Mortality within 90 days was higher amongst patients with low albumin (12/87, 13.8%), regardless of frailty status (13.8% [9/65] non-frail and 13.6% [3/22] frail patients). Ninety-day mortality in patients with normal albumin (n = 446) was over twice as likely in frail versus non-frail patients (5.5% [5/91] vs. 2.0% [7/355], respectively, p = 0.08). A model to assess 90-day mortality that included both FI and low albumin significantly improved the overall discrimination compared to low albumin alone (AUC 0.76 vs. 0.68 p = 0.03).

CONCLUSION

Our findings suggest that frailty and nutrition are both related to 90-day mortality. Preoperative interventions to improve functional and nutritional characteristics are needed.

Can strength training or tai ji quan training reduce frailty in postmenopausal women treated with chemotherapy? A secondary data analysis of the GET FIT trial

Purpose

To determine whether strength training or tai ji quan can reduce frailty in older, postmenopausal women treated with chemotherapy for cancer.

Methods

We conducted a secondary data analysis from a 3-arm, single-blind, randomized controlled trial where older (50+ years), postmenopausal women cancer survivors were randomized to supervised group exercise programs: tai ji quan, strength training, or stretching control for 6 months. We assessed frailty using a 4-criteria model consisting of weakness, fatigue, inactivity, and slowness. Using logistic regression, we determined whether the frailty phenotype (pre-frailty or frailty) decreased post-intervention, how many and which frailty criteria decreased, and what characteristics identified women most likely to reduce frailty.

Results

Data from 386 women who completed baseline and 6-month testing were used (mean age of 62.0 ± 6.4 years). The odds of improving overall frailty phenotype over 6 months was significantly higher in the strength training group compared to controls (OR [95%CI]: 1.86 [1.09, 3.17]), but not for for tai ji quan (1.44 [0.84, 2.50]). Both strength training (OR 1.99 [1.10, 3.65]) and tai ji quan (OR 2.10 [1.16, 3.84]) led to significantly higher odds of reducing ≥1 frailty criterion compared to controls. Strength training led to a three-fold reduction in inactivity (p <0.01), and tai ji quan to a two-fold reduction in fatigue (p=0.08) versus control. Higher baseline BMI, comorbidity score, and frailty status characterized women more likely to reduce frailty than other women.

Conclusions

Strength training appears superior to tai ji quan and stretching with respect to reducing overall frailty phenotype among postmenopausal women treated with chemotherapy for cancer, but tai ji quan favorably impacted the number of frailty criteria.

Implications for Cancer Survivors

Supervised, group exercise training that emphasizes strength training and/or tai ji quan may help combat accelerated aging and reduce frailty after cancer treatment.

Changes in physical function in older women with endometrial cancer with or without adjuvant therapy

OBJECTIVE

To evaluate changes in physical function (PF) for older women with endometrial cancer (EC) + / - adjuvant therapy in the Women's Health Initiative Life and Longevity after Cancer cohort.

MATERIALS AND METHODS

This study examined women ≥ 70 years of age with EC with available treatment records. Change in PF was measured using the RAND-36 and compared between groups using Wilcoxon rank-sum tests. Multivariable median regression was used to compare the changes in scores while adjusting for confounding variables.

RESULTS

Included in the study were 287 women, 150 (52.3%) women who did not receive adjuvant therapy and 137 (47.7%) who received adjuvant therapy. When comparing PF scores, there was a statistically significant difference in the median percent change in functional decline, with a greater decline in those who received adjuvant therapy (- 5.9% [- 23.5 to 0%]) compared to those who did not (0 [- 18.8 to + 6.7%]), p = 0.02). Results were not statistically significant after multivariable adjustment, but women who underwent chemotherapy had a greater percent change (median ∆ - 13.8% [- 35.5 to 0%]) compared to those who received radiation alone (median ∆ - 5.9% [- 31.3 to 0%]) or chemotherapy and radiation (median ∆ - 6.5% [- 25.8 to + 5.7%].

CONCLUSIONS

Older women with EC who received adjuvant therapy experienced greater change in PF than those who did not receive adjuvant therapy, particularly women who received chemotherapy. These results were not statistically significant on multivariate analysis.

IMPLICATIONS FOR CANCER SURVIVORS

EC survivors may experience changes in PF because of chemotherapy and/or radiation therapy. Additional supportive care may need to be provided to older women to mitigate functional decline.

Epigenetic aging in older breast cancer survivors and noncancer controls: preliminary findings from the Thinking and Living with Cancer Study

BACKGROUND

Cancer and its treatments may accelerate aging in survivors; however, research has not examined epigenetic markers of aging in longer term breast cancer survivors. This study examined whether older breast cancer survivors showed greater epigenetic aging than noncancer controls and whether epigenetic aging related to functional outcomes.

METHODS

Nonmetastatic breast cancer survivors (n = 89) enrolled prior to systemic therapy and frequency-matched controls (n = 101) ages 62 to 84 years provided two blood samples to derive epigenetic aging measures (Horvath, Extrinsic Epigenetic Age [EEA], PhenoAge, GrimAge, Dunedin Pace of Aging) and completed cognitive (Functional Assessment of Cancer Therapy-Cognitive Function) and physical (Medical Outcomes Study Short Form-12) function assessments at approximately 24 to 36 and 60 months after enrollment. Mixed-effects models tested survivor-control differences in epigenetic aging, adjusting for age and comorbidities; models for functional outcomes also adjusted for racial group, site, and cognitive reserve.

RESULTS

Survivors were 1.04 to 2.22 years biologically older than controls on Horvath, EEA, GrimAge, and DunedinPACE measures (p = .001-.04) at approximately 24 to 36 months after enrollment. Survivors exposed to chemotherapy were 1.97 to 2.71 years older (p = .001-.04), and among this group, an older EEA related to worse self-reported cognition (p = .047) relative to controls. An older epigenetic age related to worse physical function in all women (p < .001-.01). Survivors and controls showed similar epigenetic aging over time, but Black survivors showed accelerated aging over time relative to non-Hispanic White survivors.

CONCLUSION

Older breast cancer survivors, particularly those exposed to chemotherapy, showed greater epigenetic aging than controls that may relate to worse outcomes. If replicated, measurement of biological aging could complement geriatric assessments to guide cancer care for older women.

Impact of Geographical Distance from Quaternary Treatment Center on Clinical Trial Participation, Intensive Induction Chemotherapy, and Outcomes in Patients with Newly Diagnosed Acute Myeloid Leukemia

INTRODUCTION

Care for patients with acute myeloid leukemia (AML) is centralized in the Ontario single-payer public healthcare system, with intensive induction chemotherapy and clinical trials only offered at specialized cancer centers with large catchment areas.

METHODS

We therefore conducted a retrospective single-center review of all AML patients assessed at a large specialized cancer center in Ontario, Canada.

RESULTS

Between 2012 and 2017, 1,310 patients were assessed by our center for upfront AML therapy. The median distance was 33.1 km, with 29% of patients living more than 50 km away from the center. There was no significant difference in probability of intensive induction chemotherapy or clinical trial by distance from center, both in univariate and multivariable analysis adjusting for age, sex, cytogenetics and molecular testing, and performance status. There was no significant difference in overall survival by distance from center on univariate and multivariable analysis.

CONCLUSION

In conclusion, geographic distance from treatment center does not appear to impact choice of upfront therapy, participation in clinical trials, or clinical outcomes in this study of newly diagnosed patients with AML treated in a single-payer environment.

Personalised Assessment and Rapid Intervention in Frail Patients with Lung Cancer: The Impact of an Outpatient Occupational Therapy Service

INTRODUCTION

Lung cancer and its treatments cause or accelerate frailty, detrimentally affecting function and quality of life. Occupational therapists (OTs) provide global assessments and interventions, but services are often available for inpatients. The impact of holistic assessment and early intervention in the outpatient setting is unknown.

MATERIALS AND METHODS

A tertiary cancer center in North East England piloted a Lung Cancer Outpatient OT Service for patients with thoracic malignancy and a Clinical Frailty Scale Score (CFS) ≥ 5. Service effectiveness was evaluated through calculation of admission avoidance, hospital length-of-stay reduction, completion/impact of advance care planning and patient/family feedback. Demographics, frailty level, required interventions, and onward referrals were recorded.

RESULTS

A total of 153 patients (median age of 71 (range 46-90) received OT assessment and intervention. 48% were in the lowest socioeconomic quintile. Median CFS score was 5 (mildly frail (range: 4-7)) at initial assessment. Total of 918 interventions were delivered (median: 5, IQR: 3-7, Range 0-22). 48% of patients engaged in future planning (national average: 10%-15% P < .0001) and 78.5% achieved preferred place of death (national average 30%). An estimated 37 hospital admissions were avoided. In admitted patients, average inpatient stay when known to the service was 6.5 days less than other frail lung cancer patients in our unit (95% CI 4-9.1 days P < .0001). Higher CFS was associated with poor survival (P < .05).

CONCLUSION

Outpatient OT services can avoid and shorten hospital admissions through advance care planning, management of functional disruption, onward referral to other allied health professionals and palliative care. A comprehensive multidisciplinary outpatient service may benefit patients further and should be the focus of future research.

Prognostic significance of frailty status in patients with primary lung cancer

Lung cancer has one of the highest morbidity and mortality rates in the world. Frailty is common in many countries and is a major cause of premature functional decline and premature death in older adults, and may affect the treatment and prognosis of lung cancer patients. To investigate the predictive value of frailty at diagnosis on all-cause mortality in lung cancer patients, this study retrospectively collected and analysed clinical information on lung cancer patients from 2015-2018. A total of 1667 patients with primary lung cancer were finally included in this study. The median follow-up time of patients was 650 (493, 1001.5) days. A total of 297(17.8%) patients had FI-LAB(the frailty index based on laboratory test) status of frail at the moment of diagnosis and the all-cause mortality rate for all patients was 61.1% (1018/1667). In a univariate model, we found a higher total all-cause mortality risk in frail patients (frail vs. robust, HR(hazard ratio) = 1.616, 95% CI(confidence interval) = 1.349,1.936), after balancing other variables combined into model 1 to model 6. The results were analyzed visually using ROC(Receiver operating characteristic) curves with nomogram and the AUC values ranged from 0.866-0.874. The final inclusion of age, TNM stage, CCI(Charlson comorbidity index) score, surgery history and chemotherapy into a multifactorial model balanced the predictive power of frailty grading on all-cause mortality. The study showed that for lung cancer patients, the higher the level of frailty at diagnosis, the higher the risk of all-cause mortality. In the context of widespread electronic medical records in hospitals, it is convenient and feasible to use FI-LAB to assess the prognosis of lung cancer patients.

Transitions in Frailty and 4-Year Mortality Risk in Taiwan Longitudinal Study on Aging

OBJECTIVES

To explore the associations of (1) the frailty phenotype or frailty index transition with cause-specific mortality, and (2) different combinations of transition in frailty phenotype and frailty index with all-cause mortality.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Data from 3529 respondents aged >50 years who completed the 1999 and 2003 surveys of the Taiwan Longitudinal Study on Aging were analyzed.

METHODS

Cox regression and subdistribution hazard models were constructed to investigate frailty phenotype or frailty index transitions (by categories of frailty phenotype, absolute and percentage changes in frailty index, and combined categories of the 2 measurements) and subsequent 4-year all-cause and cause-specific mortality, respectively.

RESULTS

Among the frailty phenotype transition groups, the improved frailty group had overall mortality risk comparable to that of the maintained robustness/prefrailty group [hazard ratio (HR): 0.9; 95% CI: 0.7-1.2] and lower risk of mortality due to organ failure (HR: 0.4; 95% CI: 0.2-0.8; P = .015), whereas the worsened frailty group had the highest risk of all-cause mortality and death from infection, malignancy, cardiometabolic/cerebrovascular diseases, and other causes (HR: 1.8-3.7; all P < .03). The rapidly increased frailty index group had significantly higher all-cause and every cause-specific mortality than the decreased frailty index group (HR: 1.8-7.7; all P < .05). When frailty phenotype and frailty index transition groups were combined, participants with worsened frailty/rapidly increased frailty index had increased risk under the same frailty index/frailty phenotype transition condition, particularly for large changes in each factor (HR: 1.5-2.2; P < .01 for worsened frailty; 1.7-4.5, P < .03 for rapidly increased frailty index).

CONCLUSIONS AND IMPLICATIONS

We found that considering both frailty phenotype and frailty index provided best mortality prediction. These associations were independent of baseline frailty status and comorbidities. Nevertheless, even capturing transitions in frailty phenotype or frailty index only can provide good mortality prediction, which supported adopting these approaches in different clinical settings.

Combining a Frailty Index Based on Laboratory Data and Pneumonia Severity Assessments to Predict In-Hospital Outcomes in Older Adults with Community-Acquired Pneumonia

OBJECTIVES

Due to the increased morbidity, mortality, and cost of community-acquired pneumonia (CAP) in older people, strategies directed at improving disease evaluation and prevention are imperative. We independently compared the 30-day in-hospital mortality prediction ability of a frailty index based on laboratory data (FI-Lab) with that of the CURB-65 and the Pneumonia Severity Index (PSI) and then proposed combining them to further improve prediction efficiency.

DESIGN

Retrospective cohort study.

SETTING AND PARTICIPANTS

Patients aged ≥ 65 years (n = 2039) with CAP who were admitted to Jiangsu Provincial People's Hospital of Nanjing Medical University and Jiangsu Provincial Hospital of Chinese Medicine from January 2019 to June 2022.

MEASURES

The 29-item FI-Lab, PSI and, CURB-65 were administered at admission. We defined frailty by the cut-off value of the FI-Lab score (> 0.43). Multivariable logistic regression analysis, together with the calculation of the area under the receiver operating characteristic curve (ROC-AUC), was conducted to identify stratified risks and relationships between the three indices and 30-day mortality. Participants were divided into the following three groups based on age: 65-74 years, 75-84 years, and ≥ 85 years. Hazard ratios (HRs) and 95% confidence intervals (CIs) for mortality due to frailty were calculated.

RESULTS

A total of 495 participants ranging from 65 to 100 years of age were ultimately included and divided into age groups (65-74 years, n = 190, 38.4%; 75-84 years, n = 183, 37.0%; ≥ 85 years, n = 122, 24.6%). A total of 142 (28.7%) of the 495 patients were defined as having frailty. All three scores tested in this study were significantly associated with 30-day mortality in the total sample. The ORs were as follows: 1.06 (95% CI: 1.03-1.09, P < 0.001) and 2.33 (95% CI: 1.26-4.31, P = 0.007) for the FI-Lab when the score was treated as a continuous and categorical variable, respectively; 1.04 (95% CI: 1.02-1.05, P < 0.001) for the PSI; and 3.70 (95% CI: 2.48-5.50, P < 0.001) for the CURB-65. In the total sample, the ROC-AUCs were 0.783 (95% CI: 0.744-0.819) for the FI-Lab, 0.812 (95% CI: 0.775-0.845) for the PSI, and 0.799 (95% CI: 0.761-0.834) for the CURB-65 (P < 0.001). The ROC-AUC slightly improved when the FI-Lab was added to the PSI (AUC 0.850, 95% CI: 0.809-0.892, P = 0.031) and to the CURB-65 (AUC 0.839, 95% CI: 0.794-0.885, P = 0.002). Older patients with frailty showed a higher risk of in-hospital mortality, with an HR of 2.25 (95% CI: 1.14-3.58, P < 0.001).

CONCLUSION AND IMPLICATIONS

The FI-Lab seems to generate simple and readily available data, suggesting that it could be a useful complement to the CURB-65 and the PSI as effective predictors of 30-day mortality due to CAP in older populations.

Blood-based biomarkers of frailty in solid tumors: a systematic review

This review examines the current literature to identify biomarkers of frailty across patients with solid tumors. We conducted the systematic review using preferred reporting items for systematic reviews and meta-analysis guidelines (PRISMA). PubMed, Web of Science, and Embase databases were searched from their inception to December 08, 2021, for reports of biomarkers and frailty. Two reviewers independently screened titles, abstracts, and full-text articles. A quality assessment was conducted using NHLBI Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies, and Quality Assessment of Case-Control Studies. In total, 915 reports were screened, and 14 full-text articles were included in the review. Most studies included breast tumors, were cross-sectional in design, and measured biomarkers at baseline or pre-treatment. Frailty tools varied with Fried Frailty Phenotype and the geriatric assessment most frequently used. Increased inflammatory parameters (i.e., Interleukin-6, Neutrophil Lymphocyte Ratio, Glasgow Prognostic Score-2) were associated with frailty severity. Only six studies were rated as good quality using assessment ratings. Together, the small number of studies and heterogeneity in frailty assessment limited our ability to draw conclusions from the extant literature. Future research is needed to identify potential target biomarkers of frailty in cancer survivors that may aid in early detection and referral.

The impact of frailty on breast cancer outcomes: evidence from analysis of the Nationwide Inpatient Sample, 2005-2018

The aims of the present study were to examine whether and how frailty impacts the outcomes of breast cancer. Data of women with breast cancer hospitalized during 2005 and 2018 were extracted from the US Nationwide Inpatient Sample (NIS) database. Frailty was identified using a novel algorithm, Hospital Frailty Risk Score (HFRS). Propensity-score (PS) matching was utilized to balance the baseline characteristics between frail and non-frail groups. In-hospital mortality, unfavorable discharge, prolonged length of stay (LOS), and total hospital cost were compared using univariate and multivariable logistic regression analyses. A total of 19,522 patients with metastatic (frailty n = 9,906; no frailty n = 9,716) and 135,200 with non-metastatic breast cancer (frailty n = 30,235; no frailty n = 104,965) were included. After adjustment, frailty was significantly and independently associated with higher risk for in-hospital mortality, unfavorable discharge, prolonged LOS, and greater hospital cost in both metastatic and non-metastatic diseases, in which the impacts of frailty was greater in women with non-metastatic disease. In stratified analysis, frailty had the greatest impact on in-hospital mortality among women had had non-metastatic disease and aged <50 years (aOR = 3.88; 95% CI: 1.95-7.73). In conclusion, frailty is associated with worse outcomes in women with breast cancer, and the effects are greater in non-metastatic disease and younger patients.

Comparing the association between multiple chronic conditions, multimorbidity, frailty, and survival among older patients with cancer

INTRODUCTION

The high prevalence of multiple chronic conditions (MCC), multimorbidity, and frailty may affect treatment and outcomes for older adults with cancer. The goal of this study was to use three conceptually distinct measures of morbidity to examine the association between these measures and mortality.

MATERIALS AND METHODS

Using Medicare claims data linked with the 2012-2016 Ohio Cancer Incidence Surveillance System we identified older adults with incident primary cancer sites of breast, colorectal, lung, or prostate (n = 29,140). We used claims data to identify their Elixhauser comorbidities, Multimorbidity-Weighted Index (MWI), and Claims Frailty Index (CFI) as measures of MCC, multimorbidity, and frailty, respectively. We used Cox proportional hazard models to examine the association between these measures and survival time since diagnosis.

RESULTS

Lung cancer patients had the highest levels of MCC, multimorbidity, and frailty. There was a positive association between all three measures and a greater hazard of death after adjusting for age, sex (colorectal and lung only), and stage. Breast cancer patients with 5+ comorbidities had an adjusted hazard ratio (aHR) of 1.63 (95% confidence interval [CI]: 1.38, 1.93), and those with mild frailty had an aHR of 3.38 (95% CI; 2.12, 5.41). The C statistics for breast cancer were 0.79, 0.78, and 0.79 for the MCC, MWI, and CFI respectively. Similarly, lung cancer patients who were moderately or severely frail had an aHR of 1.82 (95% CI: 1.53, 2.18) while prostate cancer patients had an aHR of 3.39 (95% CI: 2.12, 5.41) and colorectal cancer patients had an aHR of 4.51 (95% CI: 3.23, 6.29). Model performance was nearly identical across the MCC, multimorbidity, and frailty models within cancer type. The models performed best for prostate and breast cancer, and notably worse for lung cancer. The frailty models showed the greatest separation in unadjusted survival curves.

DISCUSSION

The MCC, multimorbidity, and frailty indices performed similarly well in predicting mortality among a large cohort of older cancer patients. However, there were notable differences by cancer type. This work highlights that although model performance is similar, frailty may serve as a clearer indicator in risk stratification of geriatric oncology patients than simple MCCs or multimorbidity.

Frailty and long-term survival of patients with ovarian cancer: A systematic review and meta-analysis

Background

Frailty has been related with poor prognosis of various diseases, including ovarian cancer. We performed a systematic review and meta-analysis to evaluate the association between frailty and long-term survival of patients with ovarian cancer.

Methods

Relevant cohort studies were retrieved by search of PubMed, Embase, Cochrane's Library, and Web of Science electronic databases. Two authors independently performed literature search, data collection, and statistical analyses. A random-effect model incorporating the possible influence of heterogeneity was used to pool the results.

Results

Nine cohort studies including 2497 women with confirmed diagnosis of ovarian cancer contributed to the meta-analysis, and 536 (21.5%) of them were with high frailty. The median follow-up durations varied between 24 and 69 months. Compared to patients with low or non-frailty, OC patients with high frailty were associated with poor overall survival (risk ratio [RR]: 1.61, 95% confidence interval [CI]: 1.41 to 1.85, p < 0.001; I2 = 0%) and progression-free survival (RR: 1.51, 95% CI: 1.20 to 1.89, p < 0.001; I2 = 0%). Subgroup analyses according to study design, cancer stage, age of patients, scales for frailty evaluation, follow-up duration, and quality score of the included study showed consistent association between high frailty and poor overall survival in women with ovarian cancer (p for subgroup effects all < 0.05). After considering GRADE criteria for strength of the evidence, it was rated low for both the two outcomes.

Conclusion

High frailty may be an independent risk factor of poor survival in women with ovarian cancer. Evaluating frailty may be important for predicting the prognosis and determining the optimal anticancer treatments in women with ovarian cancer.

Systematic Review Registration

https://inplasy.com/, identifier INPLASY202290028.

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.

Frailty and risk of mortality in older cancer survivors and adults without a cancer history: Evidence from the National Health and Nutrition Examination Survey, 1999-2014

BACKGROUND

Epidemiologic evidence reporting the role of frailty in survival among older adults with a prior cancer diagnosis is limited.

METHODS

A total of 2050 older adults (≥60 years old) surviving for at least 1 year after a cancer diagnosis and 9474 older adults without a cancer history from the National Health and Nutrition Examination Survey (1999-2014) were included for analysis. The exposure variable, a 45-item frailty index (FI), was categorized on the basis of validated cutoffs (FI ≤ 0.10 [fit], 0.10 < FI ≤ 0.21 [prefrail], and FI > 0.21 [frail]). All-cause mortality was ascertained via the National Death Index. Multivariable Cox proportional hazards models were used to estimate adjusted hazard ratios (aHRs) and 95% confidence interval (CIs) for the FI, and this was followed by restricted cubic splines depicting dose-response curves.

RESULTS

For older cancer survivors, the mean age at the baseline was 72.6 years (SD, 7.1 years); 5.9% were fit, 38.2% were prefrail, and 55.9% were frail. Older adults without a cancer history were slightly younger (mean age, 70.0 years) and less frail (47.9% were frail). At each level of the FI, cancer survivors (1.9 per 100 person-years for FI ≤ 0.10, 3.4 per 100 person-years for 0.10 < FI ≤ 0.21, and 7.5 per 100 person-years for FI > 0.21) had higher mortality than their cancer-free counterparts (1.4 per 100 person-years for FI ≤ 0.10, 2.4 per 100 person-years for 0.10 < FI ≤ 0.21, and 5.4 per 100 person-years for FI > 0.21). The multivariable model suggested a positive association between the FI and all-cause mortality for survivors (aHR for FI > 0.21 vs FI ≤ 0.10, 2.80; 95% CI, 1.73-4.53) and participants without a cancer history (aHR for FI > 0.21 vs FI ≤ 0.10, 2.75; 95% CI, 2.29-3.32). Restricted cubic splines indicated that all-cause mortality risk increased with the FI in a monotonic pattern.

CONCLUSIONS

Frailty is associated with a higher risk of death in older cancer survivors and the elderly without a cancer history.

Impact of frailty on oncological outcomes in patients undergoing surgery for colorectal cancer - A systematic review and meta-analysis

INTRODUCTION

Frailty describes patients who are at an extreme risk of vulnerability to stressors that may lead to adverse clinical outcomes. The impact of frailty on clinical, oncological and survival outcomes in colorectal cancer (CRC) remains unclear.

AIM

To determine the anticipated oncological and survival outcomes for patients who are frail when diagnosed and undergo treatment with curative intent for CRC.

METHODS

A systematic review and meta-analysis was performed as per PRISMA guidelines. Descriptive statistics were used to determine associations between frailty and survival outcomes. The impact of frailty on disease-free and overall survival were expressed as hazard Ratios (HRs) and 95% confidence intervals (CIs) were estimated using the time-to-effect generic inverse variance and Mantel-Haenszel method.

RESULTS

Nine studies including 15,555 patients were included, of whom 8.1% were frail (1206/14,831). The mean age was 77.1 years (range: 42-94 years), 61.1% were female (9510/15,555) and mean follow-up was 48.0 months. Overall, frailty was associated with an increased risk of mortality (HR: 2.95, 95% CI: 1.64-5.29, P < 0.001) and worse disease-free survival (HR: 1.80, 95% CI: 1.34-2.41, P < 0.001). Frailty was also associated with an increased risk of mortality at 1-year (HR: 3.70, 95% CI: 1.00-13.66, P = 0.050) and 5-years (HR: 2.79, 95% CI: 1.65-4.71, P < 0.001) follow-up respectively.

CONCLUSION

Frailty is associated with poorer oncological and survival outcomes in patients diagnosed and treated with curative intent for CRC. CRC multidisciplinary team meetings should incorporate these findings into the management paradigm for these patients and patient counselling should be tailored to include these findings.

Functional limitations before and after cancer diagnosis and contributing factors: findings from the China health and retirement longitudinal study

BACKGROUND

Although there is a general trend of functional decline with age, there lacks an understanding of how cancer diagnosis and other factors may contribute to this trend. This study aimed to examine functional limitation trajectories among adults with and without cancer, and before versus after the cancer diagnosis, and to explore potential contributing factors associated with functional trajectories among cancer survivors.

METHODS

The sample were middle-aged and older Chinese adults who participated in all 3 waves of the China Health and Retirement Longitudinal Study (CHARLS, 2011-2015). Ordinary and multiphase growth curve analyses were conducted to examine (1) differences in functional trajectories between participants with (n = 139) and without cancer (n = 7,313), (2) pre-and post-cancer diagnosis changes in functional limitations among those who reported a cancer diagnosis over the 4-year timeframe, and (3) contributing factors associated with functional trajectories among cancer survivors, guided by the Disablement Process Models, including psychological (depressive symptoms), physical (pain and falls), cognitive (self-reported memory problems), and environmental (social contact and available support) factors.

RESULTS

There was a trend of increased functional limitations among all participants over time (unstandardized β = 0.17, p < .0001). However, participants with cancer did not differ from non-cancer participants in neither the level (unstandardized β = 0.77, p = .08) nor the rate of functional decline (unstandardized β = -0.43, p = .07). Functional limitation trajectories were different pre- versus post-cancer diagnosis, although not in expected directions (unstandardized β = -0.48, p < .05). Cancer survivors with greater pain had higher levels of functional limitations which were sustained over time compared to those with less pain (unstandardized β = 0.93, p < .001).

CONCLUSIONS

The study confirmed that Chinese middle-aged and older adults had overall decreased functional decline over time. A novel finding that cancer survivors experienced less rapidly functional decline after the cancer diagnosis suggested that cancer diagnosis might serve as an inflection point at which early intervention is promising to slow the functional decline. In addition, findings that within-person contributing factors, such as pain, can be influential in functional limitation trajectories suggested that more attention is needed to pay to patients with cancer-pain. These findings demonstrated the heterogeneity of functional limitation trajectories and needs for person-centered interventions among Chinese cancer survivors.

The prevalence and prognostic value of frailty screening measures in patients undergoing surgery for colorectal cancer: observations from a systematic review

Introduction

Frailty is a complex multifactorial syndrome characterised by a significant increase in vulnerability and worsened health outcomes. Despite a range of proposed frailty screening measures, the prevalence and prognostic value of frailty in patients undergoing surgery for colorectal cancer is not clear.

Aim

The aim of this present review was to examine the use of commonly employed frailty screening measures in patients undergoing surgery for colorectal cancer.

Methods

A systematic search of PubMed and Medline was carried out to identify studies reporting the use of frailty screening tools or measures in patients undergoing surgery for colorectal cancer. The screening measure used and prevalence of frailty within the population were recorded. Outcomes of interest were the incidence of post-operative complications, 30-day mortality and overall survival.

Results

Of the 15 studies included (n = 97, 898 patients), 9 studies were retrospective and included patients aged 70 years or older (n = 96, 120 patients). 5 of 12 studies reported that frailty was independently associated with the incidence of post-operative complications. There was also evidence that frailty was independently associated with 30-day mortality (1 of 4 studies, n = 9, 252 patients) and long-term survival (2 of 3 studies, n = 1, 420 patients).

Conclusions

Frailty was common in patients with colorectal cancer and the assessment of frailty may have prognostic value in patients undergoing surgery. However, the basis of the relationship between frailty and post-operative outcomes is not clear and merits further study.

Frailty and long-term survival of patients with colorectal cancer: a meta-analysis

BACKGROUND

Frailty has been related with the risk of postoperative complication in patients with colorectal cancer (CRC). However, the association between frailty and long-term survival in patients with CRC has not been comprehensively evaluated. We performed a meta-analysis to systematically evaluate the relationship between frailty and long-term survival of these patients.

METHODS

Relevant cohort studies with follow-up duration ≥ 1 year were identified from Medline, Embase, and Web of Science. A random-effect model after incorporation of the between-study heterogeneity was selected to pool the results.

RESULTS

Ten cohort studies with 35,546 patients were included, and 4100 (11.5%) of them had frailty. Pooled results showed that patients with frailty had worse overall survival compared to those without frailty at baseline (relative risk [RR]: 2.21, 95% confidence interval [CI] 1.43-3.41, P < 0.001; I² = 92%). Results were consistent for studies adjusting age (RR: 2.20, P < 0.001) or including older cancer patients only (RR: 2.28, P = 0.002). Subgroup analyses showed that difference in study design, follow-up duration, or study quality scores may not significantly affect the findings (P for subgroup analyses all > 0.05). Further meta-analyses with two datasets showed that frailty was also associated with worse cancer-specific survival (RR: 4.60, 95% CI 2.75-7.67, P < 0.001; I² = 38%) and recurrence-free survival (RR: 1.72, 95% CI 1.30-2.28, P < 0.001; I² = 0%).

CONCLUSIONS

Frailty at admission is associated with worse survival of patients with colorectal cancer.

Neuropsychiatric Disorders and Frailty in Older Adults over the Spectrum of Cancer: A Narrative Review

BACKGROUND

The interplay between different neuropsychiatric conditions, beyond dementia, in the presence of a diagnosis of cancer in older adults may mediate patients' fitness and cancer-related outcomes. Here, we aimed to investigate the presence of depression, sleep disturbances, anxiety, attitude, motivation, and support in older adults receiving a diagnosis of cancer and the dimension of frailty in order to understand the magnitude of the problem.

METHODS

This review provides an update of the state of the art based on references from searches of PubMed between 2000 and June 2021.

RESULTS

The evidence obtained underscored the tight association between frailty and unfavorable clinical outcomes in older adults with cancer. Given the intrinsic correlation of neuropsychiatric disorders with frailty in the realm of cancer survivorship, the evidence showed they might have a correlation with unfavorable clinical outcomes, late-life geriatric syndromes and higher degree of frailty.

CONCLUSIONS

The identification of common vulnerabilities among neuropsychiatric disorders, frailty, and cancer may hold promise to unmask similar shared pathways, potentially intercepting targeted new interventions over the spectrum of cancer with the delivery of better pathways of care for older adults with cancer.

Applying a Life Course Biological Age Framework to Improving the Care of Individuals With Adult Cancers: Review and Research Recommendations

Importance

The practice of oncology will increasingly involve the care of a growing population of individuals with midlife and late-life cancers. Managing cancer in these individuals is complex, based on differences in biological age at diagnosis. Biological age is a measure of accumulated life course damage to biological systems, loss of reserve, and vulnerability to functional deterioration and death. Biological age is important because it affects the ability to manage the rigors of cancer therapy, survivors' function, and cancer progression. However, biological age is not always clinically apparent. This review presents a conceptual framework of life course biological aging, summarizes candidate measures, and describes a research agenda to facilitate clinical translation to oncology practice.

Observations

Midlife and late-life cancers are chronic diseases that may arise from cumulative patterns of biological aging occurring over the life course. Before diagnosis, each new patient was on a distinct course of biological aging related to past exposures, life experiences, genetics, and noncancer chronic disease. Cancer and its treatments may also be associated with biological aging. Several measures of biological age, including p16INK4a, epigenetic age, telomere length, and inflammatory and body composition markers, have been used in oncology research. One or more of these measures may be useful in cancer care, either alone or in combination with clinical history and geriatric assessments. However, further research will be needed before biological age assessment can be recommended in routine practice, including determination of situations in which knowledge about biological age would change treatment, ascertaining whether treatment effects on biological aging are short-lived or persistent, and testing interventions to modify biological age, decrease treatment toxic effects, and maintain functional abilities.

Conclusions and Relevance

Understanding differences in biological aging could ultimately allow clinicians to better personalize treatment and supportive care, develop tailored survivorship care plans, and prescribe preventive or ameliorative therapies and behaviors informed by aging mechanisms.

Impacts of Frailty on Prognosis in Lung Cancer Patients: A Systematic Review and Meta-Analysis

Background: Frailty is a common geriatric syndrome and is described as a limited ability to compensate and recover from stressors. Lung cancer is largely diagnosed in old age, when frailty is common and might have predictive value on prognosis. Therefore, we performed a systematic review to evaluate the prognostic role of frailty in lung cancer.

Methods: The online PubMed, Web of Science, CNKI and Wanfang literature databases were searched to identify all related articles that reported the predictive value of frailty for mortality and therapeutic toxicity. Review Manager 5.3 was used to analyze results by standard meta-analysis methodology.

Results: Seven studies were included in this review, and only six studies with 2,359 patients were enrolled in meta-analysis. Patients in two studies received chemotherapy, two studies radiotherapy, two studies surgery, one study not reported. Compared to non-frail patients, frail patients had a higher risk of overall mortality [Hazard Ratio (HR) = 1.57, 95% confidence interval (CI), 1.32–1.87], and therapeutic toxicity [Odds Ratio (OR) = 2.60, 95% CI, 0.82–8.24]. Prefrail patients also showed higher overall mortality and therapeutic toxicity than non-frail patients (HR = 1.20, 95% CI, 1.05–1.38; OR = 1.72, 95% CI, 1.18–2.51, respectively).

Conclusions: Frailty is a powerful predictor of overall mortality and therapeutic toxicity in lung cancer patients.