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

Specialist Palliative Care Use and End-of-Life Care in Patients With Metastatic Cancer

CONTEXT

For patients with advanced cancer, high intensity treatment at the end of life is measured as a reflection of the quality of care. Use of specialist palliative care has been promoted to improve care quality, but whether its use is associated with decreased treatment intensity on a population-level is unknown.

OBJECTIVES

To determine whether receipt of specialist palliative care use is associated with differences in end-of-life quality metrics in patients with metastatic cancer.

METHODS

Retrospective propensity-matched cohort of patients age ≥ 65 who died with metastatic cancer in U.S. hospitals with palliative care programs that participated in the National Palliative Care Registry in 2018-2019. Cox proportional hazards regression was used to assess the impact of specialist palliative care on use of chemotherapy in the last 14 days of life, use of intensive care unit (ICU) in the last 30 days of life, use of hospice, and hospice enrollment ≥ three days.

RESULTS

After 1:2 matching, our cohort consisted of 15,878 exposed and 31,756 unexposed patients. Receipt of specialist palliative care was associated with a decrease in use of chemotherapy (adjusted hazard ratio (aHR) 0.59 [0.50-0.70]) and ICU at the end of life (aHR 0.86 [0.80-0.92]), and an increase in hospice use (aHR 1.92 [1.85-1.99]) and hospice enrollment for ≥three days (aHR 2.00 [1.93-2.07]).

CONCLUSION

On a population-level, use of specialist palliative care was associated with improved metrics for quality end-of-life care for patients dying with metastatic cancer, underscoring the importance of its integration into cancer care.

Predictors of persistence of post-chemotherapy symptoms among survivors of solid tumor cancers

CONTEXT

Late or residual symptoms diminish quality of life for many cancer survivors after completion of treatment.

OBJECTIVES

Examine risk factors associated with persisting symptom burden after chemotherapy and the lack of symptom improvement over time.

METHODS

Survivors who completed curative-intent chemotherapy within two years for solid tumors were enrolled into a symptom management trial. There were 375 survivors with two or more comorbid conditions or one comorbid condition and elevated depressive symptoms (pre-defined risk factors in the trial design) who received interventions and 71 survivors without these risk factors who did not receive interventions. For all survivors, symptoms were assessed at intake, 4, and 13 weeks and categorized as mild, moderate, or severe based on the interference with daily life. The probabilities of moderate or severe symptoms and symptom improvement were analyzed using generalized mixed-effects models in relation to comorbidity, depressive symptoms, age, sex, race/ethnicity, employment, time since chemotherapy completion, and physical function. Multiple symptoms were treated as nested within the survivor.

RESULTS

Moderate or severe symptoms at baseline and the lack of improvement over time were associated with younger age and lower physical function over and above a greater number of comorbidities and elevated severity of depressive symptoms.

CONCLUSION

Risk factors identified in this research (younger age, lower physical function, greater comorbidity, and higher depressive symptoms) can be used to allocate resources for post-treatment symptom management for cancer survivors in order to relieve symptoms that do not necessarily resolve with time.

Comparing the use of aggressive end-of life care among frail and non-frail patients with cancer using a claims-based frailty index

INTRODUCTION

Despite mounting consensus that end-of-life (EOL) care for patients with cancer should focus on improving quality of life, many patients continue to receive aggressive, disease-oriented treatment until death. Within this group, patients with increased frailty may be at higher risk of adverse treatment-related outcomes. We therefore examined the relationship between degree of frailty and receipt of aggressive EOL care among Medicare-insured patients with cancer in Ohio.

MATERIALS AND METHODS

From the Ohio Cancer Incidence Surveillance System (OCISS) linked with Medicare claims, we identified patients diagnosed with breast, colorectal, lung, or prostate cancer who died between 2012 and 2016. Frailty was operationalized using a validated claims-based frailty index. Six quality indicators reflecting receipt of aggressive EOL care were identified from claims: (1) any cancer-directed treatment, (2) >1 emergency department (ED) visit, (3) >1 hospital admission, (4) any intensive care unit (ICU) admission in the last 30 days of life, (5) entry to hospice in the last three days of life, and (6) in-hospital mortality. Multivariable logistic regression analysis was performed to control for demographic factors, Medicare and Medicaid dual enrollment, and cancer type and stage in the relationship between frailty and aggressive EOL care.

RESULTS

Overall, 31,465 patients met selection criteria. Patients with moderate/severe frailty were less likely than non-/pre-frail patients to receive any aggressive EOL care (adjusted odds ratio [aOR] 0.92 [95% confidence interval 0.86-0.99]). This group was also less likely to undergo cancer-directed treatment in their last 30 days or to enter hospice in their last three days. Increasing frailty was associated with lower odds of admission to the ICU in the last 30 days of life (mild frailty: aOR 0.88 [0.83-0.94]; moderate/severe frailty: aOR 0.85 [0.78-0.92]) or of dying in-hospital (mild frailty: 0.85 [0.79-0.91]; moderate/severe frailty: aOR 0.74 [0.67-0.82]), but higher odds of having >1 ED visit in the last 30 days of life (mild frailty: aOR 1.43 [1.32-1.53]; moderate/severe frailty: aOR 1.61 [1.47-1.77]).

DISCUSSION

These findings suggest the need for more explicit discussion of emergency care seeking for patients with cancer at the end of life.

Association between Charlson comorbidity index and survival outcomes in patients with prostate cancer: A meta-analysis

Objective

This meta-analysis aimed to assess the influence of comorbidity, as assessed by the Charlson comorbidity index (CCI), on survival outcomes in patients with prostate cancer (PCa).

Methods

We conducted a comprehensive search of the PubMed, Web of Science, and Embase databases to identify studies that examined the association between CCI-defined comorbidity and survival outcomes in PCa patients. We employed a random effect model to merge adjusted hazard ratios (HR) with 95 % confidence intervals (CI) for survival outcomes.

Results

Sixteen studies reporting on 17 articles, which collectively included 457,256 patients. For the presence (CCI score ≥1) versus absence (CCI score of 0) of comorbidity, the pooled HR was 1.59 (95 % CI 1.43-1.77) for all-cause mortality, 0.98 (95 % CI 0.90-1.08) for PCa-specific mortality, and 1.88 (95 % CI 1.61-2.21) for other-cause mortality. When compared to a CCI score of 0, the pooled HR of all-cause mortality was 1.30 (95 % CI 1.18-1.44) for a CCI score of 1, 1.65 (95 % CI 1.37-2.00) for a CCI score ≥2, and 1.75 (95 % CI 1.57-1.95) for a CCI score ≥3. Additionally, the pooled HR of other cause mortality was 1.53 (95 % CI 1.41-1.67) for a CCI score of 1, 1.93 (95 % CI 1.74-2.75) for a CCI score ≥2, and 3.95 (95 % CI 2.13-7.34) for a CCI score ≥3.

Conclusions

Increased comorbidity, as assessed by the CCI, significantly predicts all-cause and other-cause mortality in patients with PCa, but not PCa-specific mortality. The risk of all-cause and other-cause mortality increases with the burden of comorbidity.

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.

Variation in multimorbidity by sociodemographics and social drivers of health among patients seen at community-based health centers

Purpose

Understanding variation in multimorbidity across sociodemographics and social drivers of health is critical to reducing health inequities.

Methods

From the multi-state OCHIN network of community-based health centers (CBHCs), we identified a cross-sectional cohort of adult (> 25 years old) patients who had a visit between 2019-2021. We used generalized linear models to examine the relationship between the Multimorbidity Weighted Index (MWI) and sociodemographics and social drivers of health (Area Deprivation Index [ADI] and social risks [e.g., food insecurity]). Each model included an interaction term between the primary predictor and age to examine if certain groups had a higher MWI at younger ages.

Results

Among 642,730 patients, 28.2% were Hispanic/Latino, 42.8% were male, and the median age was 48. The median MWI was 2.05 (IQR: 0.34, 4.87) and was higher for adults over the age of 40 and American Indians and Alaska Natives. The regression model revealed a higher MWI at younger ages for patients living in areas of higher deprivation. Additionally, patients with social risks had a higher MWI (3.16; IQR: 1.33, 6.65) than those without (2.13; IQR: 0.34, 4.89) and the interaction between age and social risk suggested a higher MWI at younger ages.

Conclusions

Greater multimorbidity at younger ages and among those with social risks and living in areas of deprivation shows possible mechanisms for the premature aging and disability often seen in community-based health centers and highlights the need for comprehensive approaches to improving the health of vulnerable populations.

Impact of multimorbidity and polypharmacy on mortality after cancer: a nationwide registry-based cohort study in Denmark 2005-2017

BACKGROUND

Concurrent chronic diseases and treatment hereof in patients with cancer may increase mortality. In this population-based study we examined the individual and combined impact of multimorbidity and polypharmacy on mortality, across 20 cancers and with 13-years follow-up in Denmark.

MATERIALS AND METHODS

This nationwide study included all Danish residents with a first primary cancer diagnosed between 1 January 2005 and 31 December 2015, and followed until the end of 2017. We defined multimorbidity as having one or more of 20 chronic conditions in addition to cancer, registered in the five years preceding diagnosis, and polypharmacy as five or more redeemed medications 2-12 months prior to cancer diagnosis. Cox regression analyses were used to estimate the effects of multimorbidity and polypharmacy, as well as the combined effect on mortality.

RESULTS

A total of 261,745 cancer patients were included. We found that patients diagnosed with breast, prostate, colon, rectal, oropharynx, bladder, uterine and cervical cancer, malignant melanoma, Non-Hodgkin lymphoma, and leukemia had higher mortality when the cancer diagnosis was accompanied by multimorbidity and polypharmacy, while in patients with cancer of the lung, esophagus, stomach, liver, pancreas, kidney, ovarian and brain & central nervous system, these factors had less impact on mortality.

CONCLUSION

We found that multimorbidity and polypharmacy was associated with higher mortality in patients diagnosed with cancer types that typically have a favorable prognosis compared with patients without multimorbidity and polypharmacy. Multimorbidity and polypharmacy had less impact on mortality in cancers that typically have a poor prognosis.

The 5-Factor Modified Frailty Index is effective in treatment decision and the determination of perioperative complications in patients with localized prostate cancer

PURPOSE

To determine the active treatment option and perioperative complications using the 5-Factor Modified Frailty Index (mFI-5) in localized prostate cancer patients.

MATERIAL AND METHODS

Patients diagnosed with localized prostate cancer in our clinic between January 2018 and October 2022 were evaluated. The patients were separated according to the mFI-5 scores as Group 1 (score = 0, n = 74), Group 2 (score = 1, n = 41), and Group 3 (score ≥ 2, n = 69). Factors affecting the determination of treatment selection, oncological results, and surgical complications were identified with regression analysis.

RESULTS

The mean age of the patients in Group 1 was lower than in Group 2 and Group 3 (63.09 ± 7.25 years vs. 67.56 ± 7.98 years and 69.2 ± 6.77 years, p < 0.001, respectively). In Group 1, more patients were treated with retropubic radical prostatectomy (RRP), and in Group 3 with radiotherapy (RT) and active surveillance (AS) (62.2%, 53.6%, and 17.4%, p = 0.001, respectively). The rate of Clavien-Dindo grade 3 and 4 complication rates were higher in Group 3 than in Group 1 (50% vs. 8.7%, p < 0.001, respectively). Frailty was found to be an independent risk factor for overall survival (HR: 10.68, p = 0.02), the presence of Clavien-Dindo ≥ 3 complication (HR: 4.9, p = 0.02) and determination of RT/AS as the active treatment option (HR: 2.45, p = 0.04).

CONCLUSION

In patients with frailty according to the mFI-5, the complication rate after RRP in localized prostate cancer increased. When selecting the treatment to be applied in these patients, it will be useful to also evaluate the frailty status.

Multi-morbidity and its association with common cancer diagnoses: a UK Biobank prospective study

BACKGROUND

Whilst multi-morbidity is known to be a concern in people with cancer, very little is known about the risk of cancer in multi-morbid patients. This study aims to investigate the risk of being diagnosed with lung, colorectal, breast and prostate cancer associated with multi-morbidity.

METHODS

We investigated the association between multi-morbidity and subsequent risk of cancer diagnosis in UK Biobank. Cox models were used to estimate the relative risks of each cancer of interest in multi-morbid participants, using the Cambridge Multimorbidity Score. The extent to which reverse causation, residual confounding and ascertainment bias may have impacted on the findings was robustly investigated.

RESULTS

Of the 436,990 participants included in the study who were cancer-free at baseline, 21.6% (99,965) were multi-morbid (≥ 2 diseases). Over a median follow-up time of 10.9 [IQR 10.0-11.7] years, 9,019 prostate, 7,994 breast, 5,241 colorectal, and 3,591 lung cancers were diagnosed. After exclusion of the first year of follow-up, there was no clear association between multi-morbidity and risk of colorectal, prostate or breast cancer diagnosis. Those with ≥ 4 diseases at recruitment had double the risk of a subsequent lung cancer diagnosis compared to those with no diseases (HR 2.00 [95% CI 1.70-2.35] p for trend < 0.001). These findings were robust to sensitivity analyses aimed at reducing the impact of reverse causation, residual confounding from known cancer risk factors and ascertainment bias.

CONCLUSIONS

Individuals with multi-morbidity are at an increased risk of lung cancer diagnosis. While this association did not appear to be due to common sources of bias in observational studies, further research is needed to understand what underlies this association.

How frail is frail in oncology studies? A scoping review

AIMS

The frailty index (FI) is one way in which frailty can be quantified. While it is measured as a continuous variable, various cut-off points have been used to categorise older adults as frail or non-frail, and these have largely been validated in the acute care or community settings for older adults without cancer. This review aimed to explore which FI categories have been applied to older adults with cancer and to determine why these categories were selected by study authors.

METHODS

This scoping review searched Medline, EMBASE, Cochrane, CINAHL, and Web of Science databases for studies which measured and categorised an FI in adults with cancer. Of the 1994 screened, 41 were eligible for inclusion. Data including oncological setting, FI categories, and the references or rationale for categorisation were extracted and analysed.

RESULTS

The FI score used to categorise participants as frail ranged from 0.06 to 0.35, with 0.35 being the most frequently used, followed by 0.25 and 0.20. The rationale for FI categories was provided in most studies but was not always relevant. Three of the included studies using an FI > 0.35 to define frailty were frequently referenced as the rationale for subsequent studies, however, the original rationale for this categorisation was unclear. Few studies sought to determine or validate optimum FI categorises in this population.

CONCLUSION

There is significant variability in how studies have categorised the FI in older adults with cancer. An FI ≥ 0.35 to categorise frailty was used most frequently, however an FI in this range has often represented at least moderate to severe frailty in other highly-cited studies. These findings contrast with a scoping review of highly-cited studies categorising FI in older adults without cancer, where an FI ≥ 0.25 was most common. Maintaining the FI as a continuous variable is likely to be beneficial until further validation studies determine optimum FI categories in this population. Differences in how the FI has been categorised, and indeed how older adults have been labelled as 'frail', limits our ability to synthesise results and to understand the impact of frailty in cancer care.