Geriatric impairments were directly and indirectly associated with mortality in older patients with cancer: a structural equation analysis

Serious Health-Related Suffering Impairs Treatments and Survival in Older Patients With Cancer

CONTEXT

More than half of new cancer cases occurred in older adults. Older patients with cancer are particularly at risk of physical, psycho-existential or socio-familial suffering as defined by the concept of Serious Health-related Suffering (SHS).

OBJECTIVES

To assess the direct and indirect effects of physical, psycho-existential and socio-familial dimensions of suffering on cancer treatability, supportive care needs and 12-month mortality in older patients with cancer.

METHODS

We included patients with cancer aged 70 years and over from the Elderly Cancer Patients cohort (ELCAPA, Ile-de-France), referred for geriatric assessment between 2007 and 2019 before cancer treatment. Structural equation modelling examined the direct and indirect relationships between SHS dimensions (latent variables), patients' characteristics (age, sex, tumor location and metastatic status, comorbidity, period of care), and outcomes.

RESULTS

The analysis included 4,824 patients (mean age: 82.2 ± 4 years; women: 56%; main cancer sites: breast [22.3%], colorectal [15.2%], prostate [8.5%], and lung [6.8%]; metastatic cancer: 46%). Physical suffering had direct pejorative effects on cancer treatability, and mortality (standardized coefficient [SC] = 0.12 [P < 0.001], SC = 0.27 [P < 0.001], respectively). Psycho-existential and socio-familial sufferings had indirect pejorative effects on survival through decreased cancer treatability (SC = 0.08 [P < 0.001], SC = 0.03 [P < 0.001], respectively). Psycho-existential dimension had the main direct effect size on supportive care needs (SC = 0.35 [P < 0.001]) and was interrelated with physical suffering.

CONCLUSION

Physical suffering has direct pejorative effect on survival. All dimensions indirectly decrease survival due to poorer cancer treatability. Our findings support concomitant management of physical and psycho-existential suffering.

Predicting frailty domain impairments and mortality with the Hospital Frailty Risk Score among older adults with cancer: the ELCAPA-EDS cohort study

BACKGROUND

Automated frailty screening tools like the Hospital Frailty Risk Score (HFRS) are primarily validated for care consumption outcomes. We assessed the predictive ability of the HFRS regarding care consumption outcomes, frailty domain impairments and mortality among older adults with cancer, using the Geriatric 8 (G8) screening tool as a clinical benchmark.

METHODS

This retrospective, linkage-based study included patients aged ≥70 years with solid tumor, enrolled in the Elderly Cancer Patients (ELCAPA) multicentre cohort study (2016-2020) and hospitalized in acute care within the Greater Paris University Hospitals. HFRS scores, which encompass hospital-acquired problems and frailty-related syndromes, were calculated using data from the index admission and the preceding 6 months. A multidomain geriatric assessment (GA), including cognition, nutrition, mood, functional status, mobility, comorbidities, polypharmacy, incontinence, and social environment, was conducted at ELCAPA inclusion, with computation of the G8 score. Logistic and Cox regressions measured associations between the G8, HFRS, altered GA domains, length of stay exceeding 10 days, 30-day readmission, and mortality.

RESULTS

Among 587 patients included (median age 82 years, metastatic cancer 47.0%), 237 (40.4%) were at increased frailty risk by the HFRS (HFRS>5) and 261 (47.5%) by the G8 (G8≤10). Both HFRS and G8 were significantly associated with cognitive and functional impairments, incontinence, comorbidities, prolonged length of stay, and 30-day mortality. The G8 was associated with polypharmacy, nutritional and mood impairment.

DISCUSSION

Although showing significant associations with short-term care consumption, the HFRS could not identify polypharmacy, nutritional, mood and social environment impairments and showed low discriminatory ability across all GA domains.

The association between polypharmacy and health-related quality of life among older adults with prostate cancer

INTRODUCTION

Older adults with prostate cancer (PC) are at risk of polypharmacy, which further complicates disease management and health-related quality of life (HRQoL). This study evaluated the association between polypharmacy and HRQoL among Medicare beneficiaries with PC.

MATERIALS AND METHODS

This observational, retrospective study analyzed data from the Surveillance, Epidemiology, and End Results (SEER) Medicare Health Outcomes Survey (MHOS) data resource. Beneficiaries aged ≥65 and enrolled in Medicare Advantage Organizations were included if they had a PC diagnosis and continuously enrolled in Part D for 12 months prior to the completion of MHOS. Polypharmacy was determined based on the unique number of concurrent Part D prescriptions during 12 months before survey: no polypharmacy (NP, n = 0-4), polypharmacy (PP, n = 5-9), and excessive polypharmacy (EPP, n ≥ 10). HRQoL was assessed using the Physical and Mental Component Summary T-scores (PCS and MCS, respectively) in MHOS. ANOVA and Pearson's Chi-Square tests were performed to assess variances between polypharmacy and continuous/categorical variables. Multivariate linear regression models with generalized estimating equations were used to assess the association between polypharmacy and HRQoL. The severely impaired HRQoL cohort was identified based on normalized z-scores of PCS and MCS. Odds ratios were calculated to prioritize drug-drug and class-class pairs associated with patients with severely impaired HRQoL.

RESULTS

Data from 16,573 beneficiaries (24,126 records) showed that 44.4% had PP and 10.1% had EPP. Beneficiaries with PP and EPP had significantly lower mean PCS and MCS scores compared to those without polypharmacy (p < 0.001). After adjusting for covariates, beneficiaries with EPP had clinically significantly lower PCS (adjusted marginal difference: -8.47 [-9.00, -7.94]) and MCS (adjusted marginal difference: -4.32 [-4.89, -3.75]) compared to the NP group. Top-ranked drug-drug pairs like tiotropium bromide and oxycodone/acetaminophen exhibited significant associations with HRQoL decline. Analysis of class-class pairs highlighted (1) corticosteroid hormone receptor agonists and opioid agonists and (2) benzodiazepines and adrenergic beta2-agonists as having significant associations with HRQoL decline.

DISCUSSION

Polypharmacy exhibits a significant association with HRQoL declines among older adults with PC.

Comparison of the prognostic value of eight nutrition-related tools in older patients with cancer: A prospective study

OBJECTIVES

The primary objective of the present study was to evaluate and compare the ability of eight nutrition-related tools to predict 1-year mortality in older patients with cancer.

DESIGN, SETTING AND PARTICIPANTS

We studied older patients with cancer from the ELCAPA cohort and who had been referred for a geriatric assessment at one of 14 participating geriatric oncology clinics in the greater Paris area of France between 2007 and 2018.

MEASUREMENTS

The studied nutrition-related tools/markers were the body mass index (BMI), weight loss (WL) in the previous 6 months, the Mini Nutritional Assessment, the Geriatric Nutritional Risk Index (GNRI), the Prognostic Nutritional Index, the Glasgow Prognostic Score (GPS), the modified GPS, and the C-reactive protein/albumin ratio.

RESULTS

A total of 1361 patients (median age: 81; males: 51%; metastatic cancer: 49%) were included in the analysis. Most of the tools showed a progressively increase in the mortality risk as the nutrition-related risk category worsened (overall p-values <0.02 for all) after adjustment for age, outpatient status, functional status, severe comorbidities, cognition, mood, cancer treatment strategy, tumour site, and tumour metastasis. All the models were discriminant, with a C-index ranging from 0.748 (for the BMI) to 0.762 (for the GPS). The concordance probability estimate ranged from 0.764 (WL) to 0.773 (GNRI and GPS)).

CONCLUSION

After adjustment for relevant prognostic factors, all eight nutrition-related tools/markers were independently associated with 1-year mortality in older patients with cancer. Depending on the time or context of the GA, physicians do not always have the time or means to perform and assess all the tools/markers compared here. However, even when some information is missing, each nutritional tool/marker has prognostic value and can be used in the evaluation.

A Two-Step Frailty Assessment Strategy in Older Patients With Solid Tumors: A Decision Curve Analysis

PURPOSE

The intended clinical value of frailty screening is to identify unfit patients needing geriatric assessment (GA) and to prevent unnecessary GA in fit patients. These hypotheses rely on the sensitivity and specificity of screening tests, but they have not been verified.

METHODS

We performed a cross-sectional analysis of outpatients age ≥ 70 years with prostate, breast, colorectal, or lung cancer included in the ELCAPA cohort study (ClinicalTrials.gov identifier: NCT02884375) between February 2007 and December 2019. The diagnostic accuracy of the G8 Geriatric Screening Tool (G8) and modified G8 scores for identifying unfit patients was determined on the basis of GA results. We used decision curve analysis to calculate the benefit of frailty screening for detecting unfit patients and avoiding unnecessary GA in fit patients across different threshold probabilities.

RESULTS

We included 1,648 patients (median age, 81 years), and 1,428 (87%) were unfit. The sensitivity and specificity were, respectively, 85% (95% CI, 84 to 87) and 59% (95% CI, 57 to 61) for G8, and 86% (95% CI, 84 to 87) and 60% (95% CI, 58 to 63) for the modified G8 score. For decision curve analysis, the net benefit (NB) for identifying unfit patients were 0.72 for G8, 0.72 for the modified G8, and 0.82 for GA at a threshold probability of 0.25. At a threshold probability of 0.33, the NBs were 0.71, 0.72, and 0.80, respectively. At a threshold probability of 0.5, the NBs were 0.68, 0.69, and 0.73, respectively. No screening tool reduced unnecessary GA in fit patients at predefined threshold probabilities.

CONCLUSION

Although frailty screening tests showed good diagnostic accuracy, screening showed no clinical benefits over the GA-for-all strategy. NB approaches, in addition to diagnostic accuracy, are necessary to assess the clinical value of tests.