Inflammatory markers and overall survival in older adults with cancer

Background: Our aim was to evaluate the prognostic impact of three inflammatory markers - neutrophil lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR) and lymphocyte monocyte ratio (LMR) - on overall survival (OS) in older adults with cancer. Materials and Methods: Our sample includes 144 patients age ≥ 65 years with solid tumor cancer who completed a cancer-specific Geriatric Assessment (GA) from 2010 to 2014 and had pretreatment CBC with differential. NLR was dichotomized a previously reported cut-off value of 3.5, while PLR and LMR were dichotomized at the median. Cox proportional hazards models evaluated whether NLR, PLR and LMR were predictive of OS independent of covariates including a recently developed 3-item GA-derived prognostic scale consisting of (1) “limitation in walking several blocks” (2) “limitation in shopping” and (3) “≥ 5% unintentional weight loss in 6 months”. Results: Median age was 72 years, 53% had breast cancer, 27% had stage 4 cancer, 14% had Karnofsky Performance Status (KPS) 3.5. In univariable analysis, higher NLR and PLR and lower LMR were significantly associated with worse OS. NLR remained a significant predictor of OS (HR = 2.16, 95% CI; 1.10–4.25, p =.025) after adjusting for cancer type, stage, age, KPS, treatment intensity, and the GA-derived prognostic scale. Conclusion: NLR > 3.5 is predictive of poorer OS in older adults with cancer, independent of traditional prognostic factors and the GA-derived prognostic scale

The incremental value of a geriatric assessment-derived three-item scale on estimating overall survival in older adults with cancer

Objective: A geriatric assessment (GA) assesses functional age of older patients with cancer and is a well-established tool predictive of toxicity and survival. The objective of this study was to investigate the prognostic value of individual GA items. Materials and Methods: 546 patients with cancer ≥ 65 years completed GA from 2009 to 2014 and were followed for survival status for a median of 3.7 years. The GA consisted of function, nutrition, comorbidity, cognition, psychological state, and social activity/support domains. GA items with p < 0.05 in univariable analyses for overall survival (OS) were entered into multivariable stepwise selection procedure using a Cox proportional hazards model. A prognostic scale was constructed with significant GA items retained in the final model. Results: Median age was 72 years, 49% had breast cancer, and 42% had stage 3–4 cancer. Three GA items were significant prognostic factors, independent of traditional factors (cancer type, stage, age, and Karnofsky Performance Status): (1) “limitation in walking several blocks”, (2) “limitation in shopping”, and (3) “≥ 5% unintentional weight loss in 6 months”. A three-item prognostic scale was constructed with these items. In comparison with score 0 (no positive items), hazard ratios for OS were 1.85 for score 1, 2.97 for score 2, and 8.67 for score 3. This translated to 2-year estimated survivals of 85%, 67%, 51% and 17% for scores of 0, 1, 2 and 3, respectively. Conclusions: This three-item scale was a strong independent predictor of survival. If externally validated, this could be a streamlined tool with broader applicability

Oncology pharmacist-led medication reconciliation among cancer patients initiating chemotherapy

Background: Pharmacist-led medication reconciliation (PMR) ensures adequate recording and use of medications by patients. PMR may be important for cancer patients initiating new therapies, as they have a high burden of medication use and are more susceptible to inadvertent medication discrepancies. To describe medication changes (additions, discontinuations, and modifications) made to the electronic health record during a PMR among cancer patients initiating chemotherapy. Methods: From October 2011 to March 2012, 397 cancer patients initiating chemotherapy underwent a PMR at the University of North Carolina Cancer Hospital. Self-reported medications and those in the patients’ electronic health record were reviewed. Log-binomial regression models were used to estimate adjusted prevalence ratios and 95% confidence intervals for the associations between patient characteristics and medication changes made to the electronic health record. Results: Mean age at time of the PMR was 58. Median number of medications taken prior to the PMR was 10 and median time to PMR completion was 11 min. Vitamins and herbal supplements accounted for the largest proportion of medication additions (38%) and modifications (20%). Antimicrobials accounted for the largest share of discontinuations (15%). After adjustment for all other covariates, patients aged 60–69 years were more likely to have additions than those aged 50 and under (aPR = 1.47, 95%CI: 1.10–1.97). Patients 70 years and over were more likely to have modifications (aPR = 1.74, 95%CI: 1.07–2.82). Conclusion: Our results show that most cancer patients had a medication change in the electronic health record. A brief oncology PMR can accurately capture and improve medication safety by preventing prescribing and administration errors

Potential medication-related problems in older breast, colon, and lung cancer patients in the United States

Background: Older adults are often exposed to multiple medications, some of which could be inappropriate or have the potential to interact with each other. Older cancer patients may be at increased risk for medication-related problems due to exposure to cancer-directed treatment. Methods: We described patterns of potentially inappropriate medication (PIM) use and potential drug-chemotherapy interactions among adults age 66+ years diagnosed with stage I-III breast, stage II-III colon, and stage I to II lung cancer. Within the Surveillance, Epidemiology, and End Results-Medicare database, patients had to have Medicare Part D coverage with 1+ prescription in the diagnosis month and Medicare Parts A/B coverage in the prior 12 months. We estimated monthly prevalence of any and cancer-related PIM from 6 months pre- to 23 months post-cancer diagnosis and 12-month period prevalence of potential drug- chemotherapy interactions. Results: Overall, 19,318 breast, 7,283 colon, and 7,237 lung cancer patients were evaluated. Monthly PIM prevalence was stable prediagnosis (37%-40%), but increased in the year following a colon or lung cancer diagnosis, and decreased following a breast cancer diagnosis. Changes in PIM prevalence were driven primarily by cancer-related PIM in patients on chemotherapy. Potential drug-chemotherapy interactions were observed in all cohorts, with prevalent interactions involving hydrochlorothiazide, warfarin, and proton-pump inhibitors. Conclusions: There was a high burden of potential medication-related problems among older cancer patients; future research to evaluate outcomes of these exposures is warranted. Impact: Older adults diagnosed with cancer have unique medication management needs. Thus, pharmacy specialists should be integrated into multidisciplinary teams caring for these patients

Frail young adult cancer survivors experience poor health-related quality of life

Background: Young adult cancer survivors experience frailty and decreased muscle mass at rates equivalent to much older noncancer populations, which indicate accelerated aging. Although frailty and low muscle mass can be identified in survivors, their implications for health-related quality of life are not well understood. Methods: Through a cross-sectional analysis of young adult cancer survivors, frailty was assessed with the Fried frailty phenotype and skeletal muscle mass in relation to functional and quality of life outcomes measured by the Medical Outcomes Survey Short-Form 36 (SF-36). z tests compared survivors with US population means, and multivariable linear regression models estimated mean SF-36 scores by frailty and muscle mass with adjustments made for comorbidities, sex, and time from treatment. Results: Sixty survivors (median age, 21 years; range, 18-29) participated in the study. Twenty-five (42%) had low muscle mass, and 25 were either frail or prefrail. Compared with US population means, survivors reported worse health and functional impairments across SF-36 domains that were more common among survivors with (pre)frailty or low muscle mass. In multivariable linear modeling, (pre)frail survivors (vs nonfrail) exhibited lower mean scores for general health (−9.1; P =.05), physical function (−14.9; P <.01), and overall physical health (−5.6; P =.02) independent of comorbid conditions. Conclusions: Measures of frailty and skeletal muscle mass identify subgroups of young adult cancer survivors with significantly impaired health, functional status, and quality of life independent of medical comorbidities. Identifying survivors with frailty or low muscle mass may provide opportunities for interventions to prevent functional and health declines or to reverse this process. Lay Summary: Young adult cancer survivors age more quickly than peers without cancer, which is evidenced by a syndrome of decreased resilience known as frailty. The relationship between frailty (and one of its common components, decreased muscle mass) and quality of life among young adult cancer survivors was examined. Measuring decreased muscle mass and frailty identifies young survivors with poor quality of life, including worse general health, fatigue, physical function, and overall physical health, compared with nonfrail survivors. Interventions to address components of frailty (low muscle mass and weakness) may improve function and quality of life among young adult cancer survivors

Healthcare satisfaction in older and younger patients with cancer

Objective Although older patients represent the most rapidly growing segment of the oncology population, clinical care is guided by very little data on patient-reported outcomes, particularly satisfaction with healthcare. Using a large cancer center registry, we sought to describe factors associated with satisfaction with care for older and younger oncology patients. Methods Data were collected through the University of North Carolina Health Registry Cancer Survivorship Cohort. Satisfaction was measured with the Patient Satisfaction Questionnaire Short Form. Quality of life (QOL) measures included were the Promis Global short form and the Functional Assessment of Cancer Therapy General (FACT-G). Results A total of 2385 patients were included. 460 (20%) were aged 70 and above (older group). Older patients reported significantly higher levels of satisfaction in domains of time spent with doctor (scores 3.84 versus 3.73 p = 0.03) and financial aspects (scores 4.03 versus 3.44 p < 0.001) compared to younger patients. In multivariable analysis, higher QOL scores and higher self-reported ECOG performance status were associated with higher satisfaction scores. African American race was associated with lower satisfaction scores in all age groups. QOL was more closely correlated with satisfaction in older patients compared to younger patients. Conclusions Older patients with cancer report higher levels of satisfaction with care, in part due to lesser financial burden of care. Better QOL is associated with satisfaction with care in older patients. Use of patient-reported outcomes such as patient satisfaction may help improve patient-centered geriatric oncology care

Activities, function, and health-related quality of life (HRQOL) of older adults with cancer

Objective This study aims to (1) describe the activities, function, and health-related quality of life (HRQOL) of a large sample of older adults (age ≥ 65) with cancer, (2) identify the associations with demographics, cancer type, comorbid conditions, and ability to participate in activities and functional status. Materials and Methods The Health Registry/Cancer Survivorship Cohort is an institutional database designed to aid cancer survivorship research. The registry includes three measures of patient-reported HRQOL: FACT-G and PROMIS® Global measures for physical and mental health. Other measures included in the registry are cancer type, date from diagnosis, number of comorbid conditions and specific conditions and their limitations in daily activity, and self-reported daily activity/function. Results Our sample consists of 768 older adults with cancer, mean age 72 years, 60% female, and 90% White. Mean scores for HRQOL: FACT-G (85, range: 25–108), PROMIS-physical (48, range: 16–67) and, PROMIS-mental (51, range: 21–67). In multivariable models, Black race, one or more comorbid conditions, and Gastrointestinal cancer (p < .05), and patient- reported decreased levels of activities/function were all independently associated with poor HRQOL (p < .0001). Conclusions Older Black adults with cancer, those that have high comorbidity burden, with gastrointestinal cancers and those that report decreased ability to participate in daily activities/function reported poorer HRQOL. As geriatric oncology moves towards trying to identify who may need supportive services, this study demonstrated that a one question patient-reported level of activities and functional ability were independently associated with physical, mental, and cancer-specific HRQOL

Financial toxicity in adults with cancer: Adverse outcomes and noncompliance

Purpose Because of the escalating cost of cancer care coupled with high insurance deductibles, premiums, and uninsured populations, patients with cancer are affected by treatmentrelated financial harm, known as financial toxicity. The purpose of this study was to describe individuals reporting financial toxicity and to identify rates of and reasons for affordability-related treatment noncompliance. Methods From May 2010 to November 2015, adult patients (age $ 18 years) with cancer were identified from a Health Registry/Cancer Survivorship Cohort. Financial toxicity was defined as agreement with the phrase"You have to pay for more medical care than you can afford" from the Patient Satisfaction Questionnaire-18. Logistic regression and Fisher exact tests were used to compare groups. Results Of 1,988 participants, 524 (26%) reported financial toxicity. Patients reporting financial toxicity were more likely age 65 years or younger, female, nonwhite, non-English speaking, not married, less educated, and to have received a diagnosis more recently (all P,.001). Participants with financial toxicity were more likely to report noncompliance with medication, owing to inability to afford prescription drugs (relative risk [RR], 3.55; 95% CI, 2.53 to 4.98), and reported forgoing mental health care (RR, 3.89; 95% CI, 2.04 to 7.45), doctor's visits (RR, 2.98; 95% CI, 1.97 to 4.51), and medical tests (RR, 2.54; 95% CI, 1.49 to 4.34). The most endorsed reasons for delayed care were not having insurance coverage and being unable to afford household expenses. Conclusion More than25%of adultswith cancer reportedfinancial toxicity thatwas associatedwith an increased riskfor medicalnoncompliance.Financial toxicity remains a major issue in cancer care, and efforts are needed to ensure patients experiencing high levels offinancial toxicity are able to access recommended care

Adjuvant treatment for older women with invasive breast cancer

Older women experience a large share of breast cancer incidence and death. With the projected rise in the number of older cancer patients, adjuvant chemo-, radiation and endocrine therapy management will become a key component of breast cancer treatment in older women. Many factors influence adjuvant treatment decisions including patient preferences, life expectancy and tumor biology. Geriatric assessment predicts important outcomes, identifies key deficits, and can aid in the decision making process. This review utilizes clinical vignettes to illustrate core principles in adjuvant management of breast cancer in older women and suggests an approach incorporating life expectancy and geriatric assessment

Is “Geriatric” Assessment Just for Older Patients?

Geriatric assessment (GA) is used in oncology to identify deficits in older patients with cancer that may affect treatment choice. We examine GA in 550 patients with early breast cancer, including both younger (<65 years) and older women (aged 65 years or older), to assess the potential value of this tool in younger, presumed “healthier” patients. Although older women have more GA-identified deficits overall, younger patients are more anxious. Suboptimal physical function was problematic across the age spectrum. GA domains can identify major deficits in younger patients beyond those likely to be uncovered in routine investigation