Shortness of breath is a distressing symptom that occurs in 10% to 70% of oncology patients. Despite this broad range in its occurrence, little is known about inter-individual variability in ...shortness of breath and associated risk factors among patients receiving chemotherapy.
Identify subgroups of patients with distinct shortness of breath profiles; evaluate for differences among these subgroups in demographic and clinical characteristics; evaluate for differences among symptom dimensions of shortness of breath, and evaluate for differences in quality of life outcomes.
Outpatients (n=1338) completed questionnaires six times over two chemotherapy cycles. Occurrence of shortness of breath was assessed using the Memorial Symptom Assessment Scale. Latent class analysis was used to identify subgroups of patients with distinct shortness of breath profiles.
Four distinct shortness of breath profiles were identified (None 70.5%, Decreasing 8.2%, Increasing 7.8%, High 13.5%). Risk factors for membership in High class included: history of smoking, self-reported diagnosis of lung disease, having lung cancer, and receipt of a higher number of cancer treatments. Compared to the None class, High class reported poorer physical, psychological, and social functioning.
Almost 14% of patients with heterogeneous types of cancer receiving chemotherapy had persistently high occurrence rates of shortness of breath for almost two months. In addition, compared to the Decreasing and Increasing classes, the High class’ episodes of shortness of breath were more frequent and more severe. Clinicians need to assess all oncology patients for shortness of breath and provide targeted interventions.
Purpose Under-representation of elderly, women, and racial/ethnic minority patients with cancer in clinical trials is of national concern. The goal of this study was to characterize enrollment trends ...and disparities by age, sex, and race/ethnicity in lung cancer trials. Methods We analyzed data for 23,006 National Cancer Institute cooperative group lung cancer trial participants and 578,476 patients with lung cancer from the SEER registry from 1990 to 2012. The enrollment disparity difference (EDD) and enrollment disparity ratio (EDR) were calculated on the basis of the proportion of each subgroup in the trial population and the US lung cancer population. Annual percentage changes (APCs) in the subgroup proportions in each population were compared over time. Results Enrollment disparity for patients ≥ 70 years of age with non-small-cell lung cancer improved from 1990 to 2012 (test of parallelism, P = .020), with a remaining EDD of 0.22 (95% CI, 0.19 to 0.25) and EDR of 1.65 (95% CI, 1.51 to 1.82) in 2010 to 2012. No improvement was seen for elderly patients with small-cell lung cancer (SCLC), with an APC of 0.20 ( P = .714) among trial participants, despite a rising proportion of elderly patients with SCLC in the US population (APC, 0.32; P = .020). Enrollment disparity for women with lung cancer improved overall, with the gap closing by 2012 (EDD, 0.03 95% CI, 0.00 to 0.06; EDR, 1.07 95% CI, 1.00 to 1.16). Enrollment disparities persisted without significant improvement for elderly women, blacks, Asians/Pacific Islanders, and Hispanics. Conclusion Under-representation in lung cancer trials improved significantly from 1990 to 2012 for elderly patients with non-small-cell lung cancer and for women, but ongoing efforts to improve the enrollment of elderly patients with SCLC and minorities are needed. Our study highlights the importance of addressing enrollment disparities by demographic and disease subgroups to better target under-represented groups of patients with lung cancer.
To improve the care of older adults with cancer, the traditional approach to clinical trial design needs to be reconsidered. Older adults are underrepresented in clinical trials with limited or no ...information on geriatric-specific factors, such as cognition or comorbidities. To address this knowledge gap and increase relevance of therapeutic clinical trial results to the real-life population, integration of aspects relevant to older adults is needed in oncology clinical trials. Geriatric assessment (GA) is a multidimensional tool comprising validated measures assessing specific health domains that are more frequently affected in older adults, including aspects related to physical function, comorbidity, medication use (polypharmacy), cognitive and psychological status, social support, and nutritional status. There are several mechanisms for incorporating either the full GA or specific GA measures into oncology therapeutic clinical trials to contribute to the overarching goal of the trial. Mechanisms include utilizing GA measures to better characterize the trial population, define trial eligibility, allocate treatment receipt within the context of the trial, develop predictive models for treatment outcomes, guide supportive care strategies, personalize care delivery, and assess longitudinal changes in GA domains. The objective of this manuscript is to review how GA measures can contribute to the overall goal of a clinical trial, to provide a framework to guide the selection and integration of GA measures into clinical trial design, and ultimately enable accrual of older adults to clinical trials by facilitating the design of trials tailored to older adults treated in clinical practice.
Time-to-treatment-failure (TTF) is the interval from chemotherapy initiation to premature discontinuation. We evaluated TTF based on age.
Pooled analyses were conducted with first-line chemotherapy ...trials for advanced NSCLC (CALGB 9730, 30203, and 30801). Comparisons among patients who were 65 years and older and 70 years and older were performed for TTF (primary endpoint), reasons for early chemotherapy cessation, grade 3+ adverse events, and overall survival.
Among 1006 patients, 460 (46%) were older than 65 years of age. One hundred forty-five older patients (32% of this age cohort) completed all six planned chemotherapy cycles as did 170 (32%) younger patients. Median TTF was 2.9 months (95% confidence interval: 2.7– 3.2) in older patients and 3 months (95% confidence interval: 2.9–3.5) in younger patients; adjustment for performance status and stratification by chemotherapy by trial yielded no statistically significant age-based difference in TTF. However, reasons for early chemotherapy cessation differed between age groups (multivariate p = 0.004). Older patients were less likely to discontinue from cancer progression (41% versus 55%) and more likely from toxicity or patient choice (16% and 15%, respectively) compared to younger patients (13% and 6%, respectively). Older patients were more likely to experience grade 3+ adverse events (86% versus 79%) with no statistically significant difference in survival. An age cutpoint of 70+ years showed no difference in TTF, a lower trend of early cessation due to cancer progression, and somewhat shorter older patient survival.
TTF was comparable between older and younger patients; but different, age-based, and potentially modifiable reasons account for it.
An important question in symptom clusters research is whether the number and types of symptom clusters vary based on the specific dimension of the symptom experience used to create the clusters.
...Given that lung cancer patients undergoing chemotherapy (CTX) report an average of 14 co-occurring symptoms and studies of symptom clusters in these patients are limited, the purpose of this study, in lung cancer patients undergoing CTX (n = 145), was to identify whether the number and types of symptom clusters differed based on whether symptom occurrence rates or symptom severity ratings were used to create the clusters.
A modified version of the Memorial Symptom Assessment Scale was used to assess for the occurrence and severity of 38 symptoms, one week after the administration of CTX. Exploratory factor analysis was used to extract the symptom clusters.
Both the number and types of symptom clusters were relatively similar using symptom occurrence rates or symptom severity ratings. Five symptom clusters were identified using both symptom occurrence rates and severity ratings (i.e., sickness behavior, lung cancer specific, psychological, nutritional, and epithelial). Across these two dimensions, the specific symptoms within each of the symptom clusters were relatively similar.
Identification of symptom clusters in patients with lung cancer may assist with the development of more targeted symptom management interventions. Future studies are warranted to determine if symptom clusters change over a cycle of CTX in patients with lung cancer.
More older adults die from lung cancer worldwide than breast, prostate, and colorectal cancers combined. Current lung cancer treatments may prolong life, but can also cause considerable ...treatment-related toxicity.
This study is a secondary analysis of a cluster-randomized clinical trial which evaluated whether providing a geriatric assessment (GA) summary and GA-guided management recommendations can improve grade 3-5 toxicity among older adults with advanced lung cancer.
We analyzed participants aged ≥70 years(y) with stage III & IV (advanced) lung cancer and ≥1 GA domain impairment starting a new cancer treatment with high-risk of toxicity within the National Cancer Institute's Community Oncology Research Program. Community practices were randomized to the intervention arm (oncologists received GA summary & recommendations) versus usual care (UC: no summary or recommendations given). The primary outcome was grade 3-5 toxicity through 3 months post-treatment initiation. Secondary outcomes included 6-month (mo) and 1-year overall survival (OS), treatment modifications, and unplanned hospitalizations. Outcomes were analyzed using generalized linear mixed and Cox proportional hazards models with practice site as a random effect.
NCT02054741.
Among 180 participants with advanced lung cancer, the mean age was 76.3y (SD 5.1), 39.4% were female and 82.2% had stage IV disease. The proportion of patients who experienced grade 3-5 toxicity was significantly lower in the intervention arm vs UC (53.1% vs 71.6%, P=0.01). More participants in the intervention arm received lower intensity treatment at cycle 1 (56.3% vs 35.3%; P<0.01). Even with a cycle 1 dose reduction, OS at 6mo and 1 year was not significantly different (adjusted hazard ratio HR intervention vs. UC: 6mo HR=0.90, 95% CI: 0.52-1.57, P=0.72; 1 year HR=0.89, 95% CI: 0.58-1.36, P=0.57). Frequent toxicity checks, providing education and counseling materials, and initiating direct communication with the patient's primary care physician were among the most common GA-guided management recommendations. Providing a GA summary and management recommendations can significantly improve tolerability of cancer treatment among older adults with advanced lung cancer.
By 2035, the number of newly diagnosed cancer cases will double and over 50% will be in older adults. Given this rapidly growing demographic, a need exists to understand how age influences oncology ...patients' symptom burden. The study purposes were to evaluate for differences in the occurrence, severity, and distress of 38 symptoms in younger (< 60 years) versus older (≥ 60 years) oncology patients undergoing chemotherapy and to evaluate for differences in the stability and consistency of symptom clusters across the two age groups.
A total of 1329 patients were dichotomized into the younger and older groups. Patients completed demographic and clinical questionnaires prior to the initiation of their second or third cycle of chemotherapy. A modified version of Memorial Symptom Assessment Scale was used to evaluate the occurrence, severity, and distress of 38 common symptoms associated with cancer and its treatment. Differences between the two age groups in demographic and clinical characteristics and ratings of occurrence, severity, and distress for the 38 symptoms were evaluated using parametric and nonparametric tests. Exploratory factor analyses were done within each age group to identify symptom clusters using symptom occurrence rates.
Compared to the younger group (14.8 (± 7.0)), older adults reported a lower mean number of symptoms (12.9 (± 7.2)). Older patients experienced lower occurrence rates for almost 50% of the symptoms. Regarding symptom clusters, an eight-factor solution was selected for both age groups. Across the two age groups, the eight symptom clusters (i.e., physical and cognitive fatigue, respiratory, psychological, hormonal, chemotherapy-related toxicity, weight gain, gastrointestinal, epithelial) were stable. However, symptoms within the physical and cognitive, chemotherapy-related toxicity, and gastrointestinal clusters were not consistent across the age groups.
To be able to provide tailored and effective symptom management interventions to older oncology patients, routine assessments of the core symptoms unique to the symptom clusters identified for this group warrants consideration. The underlying mechanism(s) for these inconsistencies in symptom burden is an important focus for future studies.
Background
Maintenance of function during cancer treatment is important to older adults. Characteristics associated with pretreatment life‐space mobility and changes during non‐small cell lung cancer ...(NSCLC) treatment remain unknown.
Methods
This mixed methods cohort study recruited adults age ≥65 with advanced NSCLC starting palliative chemotherapy, immunotherapy, and/or targeted therapy from a Comprehensive Cancer Center, Veterans Affairs, and safety‐net clinic. Patients completed geriatric assessments including Life‐Space Assessment (LSA) pretreatment and at 1, 2, 4, and 6 months after treatment initiation. LSA scores range from 0 to 120 (greater mobility); LSA <60 is considered restricted. We used mixed‐effects models to examine pretreatment LSA, change from 0 to 1 month, and change from 1 to 6 months. A subgroup participated in semistructured interviews pretreatment and at 2 and 6 months to understand the patient experience of life‐space change. For each interview participant, we created joint displays of longitudinal LSA scores juxtaposed with illustrative quotes.
Results
Among 93 patients, median age was 73 (range 65–94). Mean pretreatment LSA score was 67.1. On average, LSA declined 10.1 points from pretreatment to 1 month and remained stable at 6 months. Pretreatment LSA score was associated with several demographic, clinical, geriatric assessment, and symptom characteristics. LSA decline at 1 month was greater among patients with high anxiety (slope = −12.6 vs. −2.3, p = 0.048). Pretreatment body mass index <21 kg/m2 was associated with LSA improvement from 1 to 6 months (slope = 4.1 vs. −0.04, p = 0.003). Joint displays illustrated the impact of different life‐space trajectories on patients' lives in their words.
Conclusion
Older adults with NSCLC have low pretreatment life space with many developing restricted life space during treatment. Incorporating life‐space assessments into clinical cancer care may help older adults concretely visualize how treatment might impact their daily function to allow for informed decision making and identify early changes in mobility to implement supportive interventions.
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