Prostate cancer treatment and survival: evidence for men with prevalent comorbid conditions

Pretreatment Patient-reported Overall Health: A Prognostic Factor for Early Overall Mortality After Primary Curative Treatment of Prostate Cancer

Background and objective

Registry-based studies for prostate cancer (PCa) document higher overall mortality (OM) after high-dose radiotherapy (RT) than after radical prostatectomy (RP). Our aim was to explore the association between pretreatment patient-reported health ("OverallHealth": OH) and curative treatment type, and the impact on early OM.

Methods

New PCa patients registered between 2017 and 2019 in the Cancer Registry of Norway (n = 1949) completed the European Organisation for Research and Treatment of Cancer Quality-of-Life Core 30 (QLQ-C30) questionnaire before RP (n = 592) or RT (n = 610) or after allocation to active surveillance (AS; n = 747). We dichotomised the QLQ-C30 summary score to classify patients with un-impaired versus impaired OH. Standard univariable and multivariable analyses with treatment type or OM as the outcome were conducted. The mean observation time was 4.7 years (standard deviation 1.0). Statistical significance was set at p < 0.05.

Key findings and limitations

Impaired OH was more frequent in the RT group (38%) than in the RP (25%) or AS (28%) group (p < 0.001). Higher age, higher risk group, and impaired OH increased the probability of undergoinRT rather than RP (p < 0.001). Impaired OH was associated with a twofold higher early OM rate in the RT group (16% vs 8%; p = 0.009) and fourfold higher OM rate in the AS group (13% vs 3%; p < 0.001). These findings remained significant in Cox regression analyses controlled for age and risk group. After RP, only locally advanced high-risk tumours were significantly associated with OM. Unknown psychometrics for the OH variable is the main study limitation.

Conclusions and clinical implications

Pretreatment patient-reported impaired OH, measured as the QLQ-C30 summary score, was positively associated with allocation to RT or AS and is a prognostic factor for early OM. Before allocation to RT or AS, elderly patients with PCa should be screened and treated for health problems that can be remedied. Future studies should determine the psychometrics of the QLQ-C30 summary score in comparison to established frailty screening instruments.

Patient summary

Patient-reported scores reflecting their overall health can help in choosing curative treatment for prostate cancer and are associated with survival during the first 5 years after treatment.

Impact of age, comorbidity, and polypharmacy on receipt of systemic therapy in advanced cancers: A retrospective population-based study

INTRODUCTION

Cancer incidence, comorbidity, and polypharmacy increase with age, but the interplay between these factors on receipt of systemic therapy (ST) in advanced cancer has rarely been studied.

MATERIALS AND METHODS

A retrospective cohort study was conducted including patients aged ≥18 years diagnosed from 2004 to 2015 with multiple myeloma (MM) (all stages), lung cancer (stage IV), and stage III-IV non-Hodgkin's lymphoma (NHL), breast, colorectal (CRC), prostate, or ovarian cancer in Manitoba, Canada. Clinical and administrative health data were used to determine demographic and cancer characteristics, treatment history, comorbidity (Charlson Comorbidity Index [CCI] and Resource Utilization Band [RUB]), and polypharmacy (≥6 medications). Multivariable logistic regression was used to evaluate variable associations with receipt of ST and interaction with age.

RESULTS

In total, 17,228 patients were diagnosed with advanced cancer. Ages were distributed as follows: 7% <50 years, 16% 50-59 years, 26% 60-69, 26% 70-79, 24% ≥80 years. ST was administered to 50% of patients. Increased age, polypharmacy, and comorbidity each independently decreased the likelihood of receiving ST. Significant interaction effects were found between age at diagnosis with stage of cancer and cancer type. Differences in probability of ST by cancer stage converged as age increased. In multivariable analysis, adjusting for covariates, patients with MM had the highest odds and lung cancer the lowest odds to receive ST. The impact of comorbidity and polypharmacy did not differ meaningfully with increasing age.

DISCUSSION

Increased age, polypharmacy, and comorbidity were each independently associated with decreased receipt of ST in people with advanced cancers. The impact of comorbidity and polypharmacy did not differ meaningfully with increasing age, while age meaningfully interacted with stage and cancer type.

Overall survival in 92,991 colorectal cancer patients in Germany: differences according to type of comorbidity

BACKGROUND

Poorer survival in cancer patients with vs. without comorbidity has been reported for various cancer sites. For patients with colorectal cancer (CRC), limited data are available so far.

METHODS

Patients with CRC diagnosed between 2010 and 2018 were identified in a health claims database covering 20% of the German population. We assessed the prevalence of comorbidities at cancer diagnosis and categorized the patients into the groups: 'none', 'somatic only', 'mental only' or 'both' types of comorbidities. Hazard ratios (HR, with 95% confidence intervals) for five-year overall survival were estimated by Cox proportional hazard models, adjusted for age, sex and stage at diagnosis (advanced vs. non-advanced).

RESULTS

We included 92,991 patients (females: 49.1%, median age: 72 years) with a median follow-up of 30 months. The proportions assigned to the groups 'none', 'somatic only', 'mental only' or 'both' were 24.7%, 65.5%, 1.4% and 8.4%. Overall, 32.8% of the patients died during follow-up. Compared to patients without comorbidities ('none'), the adjusted HR regarding death from any cause was 1.11 (95% CI: 1.07-1.14) in the group 'somatic only', 1.74 (95% CI: 1.58-1.92) in the group 'mental only' and 1.92 (95% CI: 1.84-2.00) in the group 'both'. For patients with 'mental only' comorbidities, the adjusted HR was higher in males than in females (HR = 2.19, 95% CI: 1.88-2.55 vs. HR = 1.55, 95% CI: 1.37-1.75).

CONCLUSIONS

Our results suggest that patients with CRC and with mental comorbidities, particularly males, have a markedly lower overall survival compared to those without any or only somatic comorbidities.

Cost-Effectiveness of Annual Prostate MRI and Potential MRI-Guided Biopsy After Prostate-Specific Antigen Test Results

Importance

Magnetic resonance imaging (MRI) and potential MRI-guided biopsy enable enhanced identification of clinically significant prostate cancer. Despite proven efficacy, MRI and potential MRI-guided biopsy remain costly, and there is limited evidence regarding the cost-effectiveness of this approach in general and for different prostate-specific antigen (PSA) strata.

Objective

To examine the cost-effectiveness of integrating annual MRI and potential MRI-guided biopsy as part of clinical decision-making for men after being screened for prostate cancer compared with standard biopsy.

Design, Setting, and Participants

Using a decision analytic Markov cohort model, an economic evaluation was conducted projecting outcomes over 10 years for a hypothetical cohort of 65-year-old men in the US with 4 different PSA strata (<2.5 ng/mL, 2.5-4.0 ng/mL, 4.1-10.0 ng/mL, >10 ng/mL) identified by screening through Monte Carlo microsimulation with 10 000 trials. Model inputs for probabilities, costs in 2020 US dollars, and quality-adjusted life-years (QALYs) were from the literature and expert consultation. The model was specifically designed to reflect the US health care system, adopting a federal payer perspective (ie, Medicare).

Exposures

Magnetic resonance imaging with potential MRI-guided biopsy and standard biopsy.

Main Outcomes and Measures

Incremental cost-effectiveness ratios (ICERs) using a willingness-to-pay threshold of $100 000 per QALY was estimated. One-way and probabilistic sensitivity analyses were performed.

Results

For the 3 PSA strata of 2.5 ng/mL or greater, the MRI and potential MRI-guided biopsy strategy was cost-effective compared with standard biopsy (PSA 2.5-4.0 ng/mL: base-case ICER, $21 131/QALY; PSA 4.1-10.0 ng/mL: base-case ICER, $12 336/QALY; PSA >10.0 ng/mL: base-case ICER, $6000/QALY). Results varied depending on the diagnostic accuracy of MRI and potential MRI-guided biopsy. Results of probabilistic sensitivity analyses showed that the MRI and potential MRI-guided biopsy strategy was cost-effective at the willingness-to-pay threshold of $100 000 per QALY in a range between 76% and 81% of simulations for each of the 3 PSA strata of 2.5 ng/mL or more.

Conclusions and Relevance

This economic evaluation of a hypothetical cohort suggests that an annual MRI and potential MRI-guided biopsy was a cost-effective option from a US federal payer perspective compared with standard biopsy for newly eligible male Medicare beneficiaries with a serum PSA level of 2.5 ng/mL or more.

Comparisons of Medical Cost Trajectories Between Non-Hispanic Black and Non-Hispanic White Patients With Newly Diagnosed Localized Prostate Cancer

OBJECTIVES

This study applied a recently developed statistical method to compare the mean cost trajectories between non-Hispanic White (NHW) and non-Hispanic Black (NHB) patients with localized prostate cancer conditioning on patients' survival.

METHODS

In this observational study, we modeled cost trajectories of NHW and NHB patients with localized prostate cancer for 3 survival durations: 24, 48, and 72 months. We also compared the cost trajectories between NHW and NHB, stratified by comorbidities scores.

RESULTS

We find that the mean cost trajectories of NHB were significantly higher than the trajectories of NHW in the last 12 months before death, regardless of the survival duration and patients' baseline comorbidity scores. For patients with comorbidity score ≥2, mean cost trajectories within the first year of diagnosis for NHB were significantly higher than those for NHW, except for the subgroup of patients with comorbidity 2-3 and whose survival length was 72 months.

CONCLUSIONS

Our results suggested that a higher proportion of NHB patients with high comorbidity scores are likely contribute to their higher end-of-life costs than those for NHW patients. To narrow the gap in healthcare-related financial burden between NHB and NHW patients with localized prostate cancer, policy makers need to explore different strategies to better manage comorbidities.

Cost effectiveness and health-related quality of life of chemoradiotherapy versus radiation therapy alone in elderly head and neck cancer patients

Purpose

Radiotherapy (RT) constitutes a mainstay in the treatment of elderly patients with head and neck cancer (HNC), but use of simultaneous chemoradiotherapy (CRT) remains controversial. We have conducted a prospective analysis based on real-world patient data to examine the health-related quality of life (HRQoL) and cost effectiveness (CE) of CRT vs. RT in elderly HNC patients.

Methods

Eligible participants ≥ 65 years treated in a large tertiary cancer center between July 2019 and February 2020 who completed the validated EQ-5D-5L questionnaire (health state index [HI] and visual analog scale [VAS]) before and after RT were included. CE referred to direct medical costs, including diagnosis-related group (DRG)-based billings for inpatients and uniform assessment standard (EBM)-based costs for outpatients. The primary endpoint was cost (euros [€]) per quality-adjusted life year (QALY). The incremental cost-effectiveness ratios (ICERs) were calculated. Costs and QALYs were not discounted for short overall survival (OS).

Results

Baseline HRQoL was 0.878 (±0.11) in the CRT group and 0.857 (±0.17) in the RT group. Upon completion of therapy, HRQoL amounted to 0.849 (±0.14) in the CRT and 0.850 (±0.13) in the RT group. The mean treatment-related cost in the CRT cohort was €22,180.17 (±8325.26) vs. €18,027.87 (±26,022.48) in the RT group. The corresponding QALYs amounted to 2.62 in the CRT and 1.91 in the RT groups. The ICER was €5848.31.

Conclusion

This is the first analysis from the German health care system demonstrating that the addition of chemotherapy to RT for selected elderly HNC patients is cost effective and not associated with a significant HRQoL decline.

Associations between illness burden and care experiences among Medicare beneficiaries before or after a cancer diagnosis

INTRODUCTION

To understand associations between a new measure of illness burden and care experiences in a large, national sample of Medicare beneficiaries surveyed before or after a cancer diagnosis.

MATERIALS AND METHODS

The SEER-CAHPS Illness Burden Index (SCIBI) was previously developed using Surveillance, Epidemiology, and End Results (SEER)-Consumer Assessment of Healthcare Providers and Systems (CAHPS) linked data. The SCIBI provides a standardized morbidity score based on self- and other-reported information from 8 domains and proxies relative risk of 12-month, all-cause mortality among people surveyed before or after a cancer diagnosis. We analyzed a population of Medicare beneficiaries (n = 116,735; 49% fee-for-service and 51% Medicare Advantage [MA]; 73% post-cancer diagnosis) surveyed 2007-2013 to understand how their SCIBI scores were associated with 12 different care experience measures. Frequentist and Bayesian multivariable regression models adjusted for standard case-mix adjustors, enrollment type, timing of cancer diagnoses relative to survey, and survey year.

RESULTS AND DISCUSSION

SCIBl scores were associated (P < .001) in frequentist models with better ratings of Health Plan (coefficient ± standard error: 0.33 ± 0.08) and better Getting Care Quickly scores (0.51 ± 0.09). In Bayesian models, individuals with higher illness burden had similar results on the same two measures and also reported reliably worse Overall Care experiences (coefficient ± posterior SD: -0.17 ± 0.06). Illness burden may influence how people experience care or report those experiences. Individuals with greater illness burdens may need intensive care coordination and multilevel interventions before and after a cancer diagnosis.

A Cohort Study: Comorbidity and Stage Affected the Prognosis of Melanoma Patients in Taiwan

Background

Comorbidities and stages may influence the prognosis of melanoma patients in Taiwan and need to be determined.

Methods

We performed a retrospective cohort study by using the national health insurance research database in Taiwan. Patients with a primary diagnosis of melanoma by the Taiwan Cancer Registry from 2009 to 2017 were recruited as the study population. The comparison group was never diagnosed with melanoma from 2000 to 2018. The Charlson comorbidity index was conducted to calculate the subjects’ disease severity. The Cox proportional hazards model analysis was used to estimate the hazard ratio of death.

Results

We selected 476 patients, 55.5% of whom had comorbidity. A higher prevalence of comorbidity was associated with a more advanced cancer stage. The mortality rate increased with an increasing level of comorbidity in both cohorts and was higher among melanoma patients. The interaction between melanoma and comorbidity resulted in an increased mortality rate.

Conclusion

An association between poorer survival and comorbidity was verified in this study. We found that the level of comorbidity was strongly associated with mortality. A higher risk of mortality was found in patients who had localized tumors, regional metastases, or distant metastases with more comorbidity scores. Advanced stage of melanoma patients with more comorbidities was significantly associated with the higher risk of mortality rate.

A system-level analysis of patient disease trajectories based on clinical, phenotypic and molecular similarities

MOTIVATION

Incorporating the temporal dimension into multimorbidity studies has shown to be crucial for achieving a better understanding of the disease associations. Furthermore, due to the multifactorial nature of human disease, exploring disease associations from different perspectives can provide a holistic view to support the study of their aetiology.

RESULTS

In this work, a temporal systems-medicine approach is proposed for identifying time-dependent multimorbidity patterns from patient disease trajectories, by integrating data from electronic health records with genetic and phenotypic information. Specifically, the disease trajectories are clustered using an unsupervised algorithm based on dynamic time warping and three disease similarity metrics: clinical, genetic and phenotypic. An evaluation method is also presented for quantitatively assessing, in the different disease spaces, both the cluster homogeneity and the respective similarities between the associated diseases within individual trajectories. The latter can facilitate exploring the origin(s) in the identified disease patterns. The proposed integrative methodology can be applied to any longitudinal cohort and disease of interest. In this article, prostate cancer is selected as a use case of medical interest to demonstrate, for the first time, the identification of temporal disease multimorbidities in different disease spaces.

AVAILABILITY AND IMPLEMENTATION

https://gitlab.com/agiannoula/diseasetrajectories.

SUPPLEMENTARY INFORMATION

Supplementary data are available at Bioinformatics online.

Obesity and low levels of physical activity impact on cardiopulmonary fitness in older men after treatment for prostate cancer

The purpose of this study was to compare fitness parameters and cardiovascular disease risk of older and younger men with prostate cancer (PCa) and explore how men's fitness scores compared to normative age values. 83 men were recruited post-treatment and undertook a cardiopulmonary exercise test (CPET), sit-to-stand, step-and-grip strength tests and provided blood samples for serum lipids and HbA1c. We calculated waist-to-hip ratio, cardiovascular risk (QRISK2), Charlson comorbidity index (CCI) and Godin leisure-time exercise questionnaire [GLTEQ]. Age-group comparisons were made using normative data. Men > 75 years, had lower cardiopulmonary fitness, as measured by VO₂ Peak (ml/kg/min) 15.8 + 3.8 p < 0.001, and lower grip strength(28.6+5.2 kg p < 0.001) than younger men. BMI ≥30kg/m² and higher blood pressure all contributed to a QRisk2 score indicative of 20% chance of cardiovascular risk within 10 years (mean: 36.9-6.1) p < 0.001. Age, BMI and perceived physical activity were significantly associated with lower cardiopulmonary fitness. Men with PCa > 75 years had more cardiovascular risk factors compared to normative standards for men of their age. Although ADT was more frequent in older men, this was not found to be associated with cardiopulmonary fitness, but obesity and low levels of physical activity were. Secondary prevention should be addressed in men with PCa to improve men's overall health.

Association of Cancer With Outcomes in Patients Hospitalized for Heart Failure

BACKGROUND

The complex clinical status of heart failure (HF) patients with concomitant cancer is gaining clinical interest. This study sought to explore the prevalence of cancer in patients with HF and its effect on outcomes using a nationwide inpatient database.Methods and Results:In total, 447,818 HF patients who were admitted and discharged between January 2010 and March 2018 were studied and included in the Diagnosis Procedure Combination (DPC) database. The median age was 81 years; 238,192 patients (53.2%) were men and 25,951 (5.8%) had concomitant cancer. The prevalence of cancer peaked in patients aged in their 70 s and 80 s and increased with time. Patients with cancer were older and more likely to be male. Cigarette smoking was more common in patients with cancer. Patients with cancer more frequently had infectious complications during hospitalization. Advanced medical procedures were less frequently performed for patients with cancer. In-hospital mortality was higher in patients with cancer than those without (10.0% vs. 6.7%, P<0.001). Among patients with cancer, in-hospital mortality was higher in patients with metastasis than those without (18.9% vs. 9.4%, P<0.001). Multivariable logistic regression analysis, fitted with a generalized estimating equation, indicated cancer is associated with higher in-hospital mortality (odds ratio 1.51, 95% confidential interval 1.43-1.59, P<0.001).

CONCLUSIONS

Cancer was frequently observed in patients hospitalized for worsened HF, and its prevalence increased with time. The presence of cancer increased the risk of in-hospital death. Further studies are warranted to establish the optimal management strategy for HF patients with cancer in the field of cardio-oncology.

Comorbidity prevalence among cancer patients: a population-based cohort study of four cancers

BACKGROUND

The presence of comorbidity affects the care of cancer patients, many of whom are living with multiple comorbidities. The prevalence of cancer comorbidity, beyond summary metrics, is not well known. This study aims to estimate the prevalence of comorbid conditions among cancer patients in England, and describe the association between cancer comorbidity and socio-economic position, using population-based electronic health records.

METHODS

We linked England cancer registry records of patients diagnosed with cancer of the colon, rectum, lung or Hodgkin lymphoma between 2009 and 2013, with hospital admissions records. A comorbidity was any one of fourteen specific conditions, diagnosed during hospital admission up to 6 years prior to cancer diagnosis. We calculated the crude and age-sex adjusted prevalence of each condition, the frequency of multiple comorbidity combinations, and used logistic regression and multinomial logistic regression to estimate the adjusted odds of having each condition and the probability of having each condition as a single or one of multiple comorbidities, respectively, by cancer type.

RESULTS

Comorbidity was most prevalent in patients with lung cancer and least prevalent in Hodgkin lymphoma patients. Up to two-thirds of patients within each of the four cancer patient cohorts we studied had at least one comorbidity, and around half of the comorbid patients had multiple comorbidities. Our study highlighted common comorbid conditions among the cancer patient cohorts. In all four cohorts, the odds of having a comorbidity and the probability of multiple comorbidity were consistently highest in the most deprived cancer patients.

CONCLUSIONS

Cancer healthcare guidelines may need to consider prominent comorbid conditions, particularly to benefit the prognosis of the most deprived patients who carry the greater burden of comorbidity. Insight into patterns of cancer comorbidity may inform further research into the influence of specific comorbidities on socio-economic inequalities in receipt of cancer treatment and in short-term mortality.

Improving management of comorbidity in patients with colorectal cancer using comprehensive medical assessment: a pilot study

BACKGROUND

Screening for and active management of comorbidity soon after cancer diagnosis shows promise in altering cancer treatment and outcomes for comorbid patients. Prior to a large multi-centre study, piloting of the intervention (comprehensive medical assessment) was undertaken to investigate the feasibility of the comorbidity screening tools and proposed outcome measures, and the feasibility, acceptability and potential effect of the intervention.

METHODS

In this pilot intervention study, 72 patients of all ages (36 observation/36 intervention) with newly diagnosed or recently relapsed colorectal adenocarcinoma were enrolled and underwent comorbidity screening and risk stratification. Intervention patients meeting pre-specified comorbidity criteria were referred for intervention, a comprehensive medical assessment carried out by geriatricians. Each intervention was individually tailored but included assessment and management of comorbidity, polypharmacy, mental health particularly depression, functional status and psychosocial issues. Recruitment and referral to intervention were tracked, verbal and written feedback were gathered from staff, and semi-structured telephone interviews were conducted with 13 patients to assess screening tool and intervention feasibility and acceptability. Interviews were transcribed and analysed thematically. Patients were followed for 6-12 months after recruitment to assess feasibility of proposed outcome measures (chemotherapy uptake and completion rates, grade 3-5 treatment toxicity, attendance at hospital emergency clinic, and unplanned hospitalisations) and descriptive data on outcomes collated.

RESULTS

Of the 29 intervention patients eligible for the intervention, 21 received it with feedback indicating that the intervention was acceptable. Those in the intervention group were less likely to be on 3+ medications, to have been admitted to hospital in previous 12 months, or to have limitations in daily activities. Collection of data to measure proposed outcomes was feasible with 55% (6/11) of intervention patients completing chemotherapy as planned compared to none (of 14) of the control group. No differences were seen in other outcome measures. Overall the study was feasible with modification, but the intervention was difficult to integrate into clinical pathways.

CONCLUSIONS

This study generated valuable results that will be used to guide modification of the study and its approaches prior to progressing to a larger-scale study.

TRIAL REGISTRATION

Retrospective, 26 August 2019, ACTRN12619001192178.

Mechanisms of decision-making in preoperative assessment for older adult prostate cancer patients-A qualitative study

BACKGROUND AND OBJECTIVE

Little research exists which investigates the contextual factors and hidden influences that inform surgeons and surgical teams decision-making in preoperative assessment when deciding whether to or not to operate on older adult prostate cancer patients living with aging-associated functional declines and illnesses. The aim of this study is to identify and examine the underlying mechanisms that uniquely shape preoperative surgical decision-making strategies concerning older adult prostate cancer patients.

METHODS

Qualitative methodologies were used that paired ethnographic field observations with semistructured interviews for data collection. An inductive thematic analysis approach was used to identify, analyze, and describe patterns in the data.

RESULTS

Factors underlining surgical decision-making originated from the context of two categories: (1) clinical and surgery-specific factors; and (2) non-patient factors. Thematic subcategories included personal experiences, methods of assessment during medical encounters, anticipation of outcomes, perceptions of preoperative assessment instruments for frailty and multimorbidity, routines and workflow patterns, microcultures, and indirect observation and second-hand knowledge.

CONCLUSION

Surgeon's personal experiences has a significant impact on the decision-making processes during preoperative assessments. However, non-patient factors such as institutional microcultures passively and actively influence decision-making process during preoperative assessment.

Mental Health Comorbidities and Elevated Risk of Opioid Use in Elderly Breast Cancer Survivors Using Adjuvant Endocrine Treatments

PURPOSE:

Prolonged opioid use is common and associated with lower survival rates in breast cancer survivors. We explored whether opioid use in elderly breast cancer survivors using adjuvant endocrine therapy (AET) regimens was affected by the prevalence of mental health comorbidity and, in turn, how this affected survival in this population.

METHODS:

This retrospective study analyzed 2006 to 2012 SEER-Medicare data sets and followed patients for at least 2 years from the index date, defined as the first date they filled an AET prescription. The study included adult women with incident, primary, hormone receptor–positive, stage I to III breast cancer. They were also first-time AET users and fee-for-service Medicare enrollees continuously enrolled in Medicare Parts A, B, and D. We measured whether patients with a clinical diagnosis of a mental health comorbid condition used opioids after the initiation of AET and their survival at the end of the study period.

RESULTS:

A total of 10,452 breast cancer survivors who began AET treatments were identified, among whom the most commonly diagnosed mental health comorbidities were depression (n = 554) and anxiety (n = 246). Using a propensity score risk adjustment model, we found that opioid use was significantly higher in women with a mental health comorbidity (odds ratio,1.33; 95% CI, 1.06 to 1.68). In addition, mental health comorbidity was associated with a significantly increased hazard of mortality in this population (hazard ratio, 1.49; 95% CI, 1.02 to 2.18).

CONCLUSION:

The presence of mental health comorbidity in breast cancer survivors significantly increases the risk of opioid use and mortality, which highlights the need for better management of comorbid mental health conditions.

Trends in the prevalence of malignancy among patients admitted with acute heart failure and associated outcomes: a nationwide population-based study

Cancer is the second leading cause of death in the USA, and cardiovascular disease is the second leading cause of morbidity and mortality among cancer survivors. Cancer survivors share common risk factors for cardiovascular disease with non-cancer patients. With improved survival, cancer patients become susceptible to treatment-related toxicity often involving the heart. The impact of concurrent malignancy on outcomes particularly among heart failure patients is an area of active research. We studied the trends in the prevalence of a concurrent diagnosis of breast, prostate, colorectal, and lung cancer among admissions for acute heart failure and the associated trends for in-hospital mortality. Patients aged ≥ 18 years who were admitted with a primary diagnosis of "congestive heart failure" (CCS codes 99 and 108) from years 2003 to 2014 were included. We analyzed the rate of admission and in-hospital mortality among patients who had a concurrent diagnosis for either lung cancer, colorectal cancer, breast cancer (among females), or prostate cancer (among males). We performed a multivariate analysis to assess the role of a concurrent diagnosis of any cancer in predicting in-hospital mortality among HF admissions. From 2003 to 2014 across over 12 million HF admissions, ≈ 7% had a concurrent diagnosis of either lung, breast, colorectal, or prostate cancer. The prevalence was highest for breast cancer (2.3%) followed by prostate cancer (2.1%) and colorectal cancer (1.5%) and lowest with lung cancer (1.1%). The prevalence of cancer increased over the duration of study among all four cancer types with the largest increase in prevalence of breast cancer. Baseline comorbidities including hypertension, diabetes, smoking, chronic kidney disease, and coronary artery disease increased over time among patients with and without cancer. In-hospital mortality was higher among those with a diagnosis of lung cancer (5.9%) followed by colorectal cancer (4.0%), prostate cancer (3.5%), no diagnosis of cancer (3.3%), and breast cancer (3.2%). In-hospital mortality declined across HF admissions with and without a cancer diagnosis from 2003 to 2014. Decline in such mortality among heart failure was highest for patients with lung cancer (8.1 to 4.6% from 2003 to 2014; p < 0.001). Multivariate analysis showed that a concurrent diagnosis of cancer was associated with a marginally lower hospital mortality compared with controls (adjusted odds ratio 0.95, 95% confidence interval 0.94-0.96; p < 0.001). Among HF admissions, the prevalence of a concurrent cancer diagnosis increased over time for breast, lung, colorectal, and prostate cancer. Baseline in-hospital mortality was higher among HF admissions with either lung cancer, colorectal cancer, or prostate cancer and lower with breast cancer compared with controls without a cancer diagnosis. Adjusted analysis revealed no evidence for higher hospital mortality among HF admissions with any accompanying cancer diagnosis.

Prehabilitation for adults diagnosed with cancer: A systematic review of long-term physical function, nutrition and patient-reported outcomes

OBJECTIVE

Prehabilitation is increasingly being used to mitigate treatment-related complications and enhance recovery. An individual's state of health at diagnosis, including obesity, physical fitness and comorbidities, are influencing factors for the occurrence of adverse effects. This review explores whether prehabilitation works in improving health outcomes at or beyond the initial 30 days post-treatment and considers the utility of prehabilitation before cancer treatment.

METHODS

A database search was conducted for articles published with prehabilitation as a pre-cancer treatment intervention between 2009 and 2017. Studies with no 30 days post-treatment data were excluded. Outcomes post-prehabilitation were extracted for physical function, nutrition and patient-reported outcomes.

RESULTS

Sixteen randomised controlled trials with a combined 2017 participants and six observational studies with 289 participants were included. Prehabilitation interventions provided multi-modality components including exercise, nutrition and psychoeducational aspects. Prehabilitation improved gait, cardiopulmonary function, urinary continence, lung function and mood 30 days post-treatment but was not consistent across studies.

CONCLUSION

When combined with rehabilitation, greater benefits were seen in 30-day gait and physical functioning compared to prehabilitation alone. Large-scale randomised studies are required to translate what is already known from feasibility studies to improve overall health and increase long-term cancer patient outcomes.

Role, Extent, and Impact of Comorbidity on Prognosis and Survival in Advanced Metastatic Melanoma: A Review

Increased incidence of comorbidity in advanced metastatic melanoma (AMM) is emerging as an important factor in patient prognosis, treatment, and survival. This paper reviews the impact of comorbidities on the prognosis and survival outcomes of patients diagnosed with AMM. Our search initially yielded limited results. We then broadened our search to include breast, colorectal, and prostate cancer and covered malignancies in which screening (like melanoma) is associated with the detection of early-stage disease. Most studies showed that a higher prevalence of comorbidity was associated with more advanced cancer stage. Both treatment and survival of patients were influenced by age and the extent of comorbidity. Racial differences in survival were greatest for patients with no comorbidities and less evident at higher levels of comorbidity. Comorbid conditions showed differential effects for prognosis, treatment, and survival. Limited Information in the literature demonstrates that more research is warranted with respect to comorbidities and AMM.

Association of comorbid disease burden at diagnosis with higher tumor grade in men with non-metastatic prostate cancer

BACKGROUND

While older age is associated with higher tumor grade, it is unknown whether comorbid disease burden has a similar, independent association. We sought to evaluate the impact of comorbid disease burden on tumor grade at diagnosis as indicated by biopsy Gleason score.

METHODS

We conducted an observational cohort study of 1260 men newly diagnosed with non-metastatic prostate cancer from 1998 to 2004 at two Veterans Affairs Medical Centers. Multivariable ordinal and multinomial logistic regression were used to evaluate the association between Charlson Comorbidity Index score and biopsy Gleason score.

RESULTS

Men with Charlson scores of 2 (odds ratio (OR) 1.8, P<0.001) and 3+ (OR 1.8, P<0.001) had significantly greater odds of higher Gleason scores, compared with men with Charlson scores of 0. In a multinomial logistic regression model predicting Gleason 7 vs ⩾6, only men with Charlson scores of 2 (OR 1.6, P=0.01) had greater odds of having a Gleason 7 tumor, compared with those with Charlson scores of 0. In a multinomial logistic regression model predicting Gleason 8-10 vs ⩽6, those with Charlson scores of 1 (OR 1.6, P=0.047), 2 (OR 2.8, P=0.01) and 3+ (OR 2.9, P=0.001) had higher odds of having a Gleason 8-10 tumor.

CONCLUSIONS

Moderate-to-heavy comorbid disease burden at diagnosis may be associated with high tumor grade, independent of age, and is a stronger predictor of Gleason 8-10 than Gleason 7 disease.

Oligometastatic prostate cancer: definitions, clinical outcomes, and treatment considerations

The oligometastatic state has been proposed as an intermediate stage of cancer spread between localized disease and widespread metastases. With improvements in diagnostic modalities such as functional imaging, oligometastatic prostate cancer is being diagnosed with greater frequency than ever before. Furthermore, the paradigm for treatment of advanced prostate cancers is shifting toward a more aggressive approach. Many questions surround the understanding of the process and consequences of oligometastasis, meaning that the contemporary literature offers a wide variety of definitions of oligometastatic prostate cancer. Until genomic data exist to provide a biological component to the definition of oligometastatic disease, a clinical diagnosis made on the basis of up to five extrapelvic lesions is reasonable for use. Retrospective studies suggest that interventions such as radical prostatectomy and local or metastasis-directed radiotherapy can be performed in the metastatic setting with minimal risk of toxic effects. These therapies seem to decrease the need for subsequent palliative interventions, but insufficient data are available to draw reliable conclusions regarding their effect on survival. Thus, a protocol for clinicians to manage the patient presenting with oligometastatic prostate cancer would be a useful clinical tool.

Active Surveillance for Intermediate Risk Prostate Cancer: Survival Outcomes in the Sunnybrook Experience

PURPOSE

To assess the applicability of active surveillance in patients with intermediate risk prostate cancer, we compared the survival outcomes of patients with low risk and intermediate risk disease.

MATERIALS AND METHODS

Active surveillance was offered to all patients with low risk (cT1-T2b and Gleason score 6 and prostate specific antigen 10 ng/ml or less) and select intermediate risk disease (age greater than 70 years with cT2c or prostate specific antigen 15 ng/ml or less, or Gleason score 3+4 or less). Data from November 1995 to May 2013 were extracted from a prospectively collected database. The primary outcome was metastasis-free survival, and secondary outcomes were overall survival, cause specific survival and treatment-free survival.

RESULTS

A total of 213 intermediate risk and 732 low risk cases were identified. Median age was 72 years (IQR 67.3, 76.8) in the intermediate risk cohort and 67 years (IQR 60.6, 71.9) in the low risk group. Median followup was comparable (6.7 years for intermediate risk vs 6.5 years for low risk). Gleason 7 disease comprised 60% of the intermediate risk cohort. The 15-year metastasis-free, overall, cause specific and treatment-free survival rates were inferior in the intermediate risk group (metastasis-free survival HR 3.14, 95% CI 1.51-6.53, p=0.001, 82% for intermediate risk vs 95% for low risk). On further evaluation the estimated 15-year metastasis-free survival for cases of Gleason 6 or less with prostate specific antigen less than 10 ng/ml was 94%, Gleason 6 or less with prostate specific antigen 10 to 20 ng/ml was 94%, Gleason 3+4 with prostate specific antigen 20 ng/ml or less was 84% and Gleason 4+3 with prostate specific antigen 20 ng/ml or less was 63%.

CONCLUSIONS

These data support the use of active surveillance in low risk and intermediate risk cases of Gleason 6 but not Gleason 7 prostate cancer. Multiparametric magnetic resonance imaging and novel biomarkers might be vital in detecting favorable Gleason 7 disease.

The impact of comorbidity on cancer and its treatment

Answer questions and earn CME/CNE Comorbidity is common among cancer patients and, with an aging population, is becoming more so. Comorbidity potentially affects the development, stage at diagnosis, treatment, and outcomes of people with cancer. Despite the intimate relationship between comorbidity and cancer, there is limited consensus on how to record, interpret, or manage comorbidity in the context of cancer, with the result that patients who have comorbidity are less likely to receive treatment with curative intent. Evidence in this area is lacking because of the frequent exclusion of patients with comorbidity from randomized controlled trials. There is evidence that some patients with comorbidity have potentially curative treatment unnecessarily modified, compromising optimal care. Patients with comorbidity have poorer survival, poorer quality of life, and higher health care costs. Strategies to address these issues include improving the evidence base for patients with comorbidity, further development of clinical tools to assist decision making, improved integration and coordination of care, and skill development for clinicians. CA Cancer J Clin 2016;66:337-350. © 2016 American Cancer Society.

Age-adjusted Charlson comorbidity index is a significant prognostic factor for long-term survival of patients with high-risk prostate cancer after radical prostatectomy: a Bayesian model averaging approach

PURPOSE

We investigated the long-term prognostic impact of age-adjusted Charlson comorbidity index (ACCI) on overall mortality (OM), cancer-specific mortality (CSM), and other-cause mortality (OCM) according to risk stratification in patients with prostate cancer who underwent radical prostatectomy.

METHODS

Data from 542 patients who underwent radical prostatectomy between 1992 and 2006 were analyzed. The impact of preoperative variables including age, prostate-specific antigen, biopsy Gleason sum, clinical stage, and ACCI on OM, CSM, and OCM were analyzed according to risk groups, with a median follow-up of 101 months.

RESULTS

Subjects were stratified into either the high-risk group (n = 241) or the non-high-risk group (n = 301). Cox proportional hazards model demonstrated that the ACCI was the only significant predictor for OM in all patients (hazard ratio, HR 1.41; 95 % confidence interval, CI 1.19-1.66), non-high-risk group (HR 1.45; 95 % CI 1.09-1.91), and high-risk group (HR 1.37; 95 % CI 1.11-1.69). In competing risk analysis, CSM was not associated with the ACCI in either risk group. However, the ACCI had a significant impact on OCM in both the non-high-risk (HR 1.55; 95 % CI 1.16-2.1) and high-risk groups (HR 1.60; 95 % CI 1.23-2.08). A Bayesian model averaging approach verified that the ACCI was the most powerful predictor for OM and OCM in the both high-risk and non-high-risk groups.

CONCLUSIONS

A thorough assessment of comorbidities is mandatory in establishing prognoses, even when considering invasive treatment modalities in high-risk prostate cancer patients.

Cancer survival in the context of mental illness: a national cohort study

OBJECTIVE

To explore the reasons for worse cancer survival in people with experience of mental illness, including differences by cancer type and psychiatric diagnosis.

METHOD

New Zealand breast and colorectal cancer registrations (2006-2010) were linked to psychiatric hospitalization records for adults (18-64 years). Cancer-specific survival was compared for recent psychiatric service users and nonusers using Cox regression. The contributions of deprivation, comorbidity and stage at diagnosis were assessed for those with schizophrenia or bipolar affective disorder (Group A) and others using mental health services (Group B).

RESULTS

Of 8762 and 4022 people with breast and colorectal cancer respectively, 440 (breast) and 190 (colorectal) had recent contact with psychiatric services. After adjusting for confounding, risk of death from breast cancer was increased for Group A [Hazard Ratio (HR) 2.55 (95% confidence interval 1.49-4.35)] and B [HR 1.62 (1.09-2.39)] and from colorectal cancer for Group A [HR 2.92 (1.75-4.87)]. Later stage at diagnosis contributed to survival differences for Group A, and comorbidity contributed for both groups. Fully adjusted HR estimates were breast: Group A 1.65 (0.96-2.84), B 1.41 (0.95-2.09); colorectal: Group A 1.89 (1.12-3.17), B 1.25 (0.89-1.75)].

CONCLUSIONS

The high burden of physical disease and delayed cancer diagnosis in those with psychotic disorders contributes to worse cancer survival in New Zealand psychiatric service users.

Comorbid Disease Burden is Independently Associated with Higher Risk Disease at Prostatectomy in Patients Eligible for Active Surveillance

PURPOSE

Comorbid medical conditions are highly prevalent among patients with prostate cancer and may be associated with more aggressive disease. We investigated the association between comorbidity burden and higher risk disease among men eligible for active surveillance.

MATERIALS AND METHODS

Using the National Cancer Data Base we identified 29,447 cases of low risk (Gleason score 6 or less, cT1/T2a, prostate specific antigen less than 10 ng/ml) prostate cancer managed with prostatectomy from 2010 to 2011. The primary outcome was pathological upgrading (Gleason score greater than 6) or up staging (T3-T4/N1). The association between Charlson score and upgrading/up staging was analyzed using multivariate logistic regression.

RESULTS

The study sample comprised 29,447 men, of which 449 (1.5%) had Charlson scores greater than 1. At prostatectomy 44% of cases were upgraded/up staged. On multivariate analysis Charlson score greater than 1, age 70 years or greater, nonwhite race, higher prostate specific antigen and higher percentage of cores involved with disease were significantly associated with upgrading/up staging. After further adjusting for age, race, prostate specific antigen and core involvement, Charlson score remained a significant predictor of upgrading/up staging for younger white men. Specifically, white men less than 70 years old with Charlson comorbidity index greater than 1 had 1.3-fold higher odds of upgrading/up staging than men with Charlson comorbidity index 1 or less (OR 1.31, 95% CI 1.03-1.67, p=0.029).

CONCLUSIONS

Comorbidity burden is strongly and independently associated with pathological upgrading/up staging in men with clinically low risk prostate cancer. This finding may help improve disease risk assessment and clinical decision making in men with comorbidities considering active surveillance.