Geriatric assessment measures are predictive of outcomes in chronic lymphocytic leukemia.

INTRODUCTION: Chronic lymphocytic leukemia (CLL) commonly affects older adults. However, few studies have examined the relationship between baseline geriatric domains and clinical outcomes in this population. Here, we aim to evaluate the use of a comprehensive geriatric assessment in older (>65 years) untreated patients with CLL to predict outcomes. MATERIALS AND METHODS: We conducted a planned analysis of 369 patients with CLL age 65 or older treated in a phase 3 randomized trial of bendamustine plus rituximab versus ibrutinib plus rituximab versus ibrutinib alone (A041202). Patients underwent evaluations of geriatric domains including functional status, psychological status, social activity, cognition, social support, and nutritional status. We examined associations among baseline geriatric domains with grade 3+ adverse events using multivariable logistic regression and overall survival (OS) and progression-free survival (PFS) using multivariable Cox regression models. RESULTS: In this study, the median age was 71 years (range: 65-87). In the combined multivariable model, the following geriatric domains were significantly associated with PFS: Medical Outcomes Study (MOS) - social activities survey score (hazard ratio [HR] [95% confidence interval (CI)] 0.974(0.961, 0.988), p = 0.0002) and nutritional status (≥5% weight loss in the preceding six months: (HR [95% CI] 2.717[1.696, 4.354], p < 0.001). MOS - social activities score [HR (95% CI) 0.978(0.958, 0.999), p = 0.038] was associated with OS. No geriatric domains were significantly associated with toxicity. There were no statistically significant interactions between geriatric domains and treatment. DISCUSSION: Geriatric domains of social activity and nutritional status were associated with OS and/or PFS in older adults with CLL. These findings highlight the importance of assessing geriatric domains to identify high-risk patients with CLL who may benefit from additional support during treatment.

Management of Prostate Cancer in Older Adults.

The majority of men with prostate cancer are diagnosed when they are older than 65 years; however, clinical trial participants are disproportionately younger and more fit than the real-world population treated in typical clinical practices. It is, therefore, unknown whether the optimal approach to prostate cancer treatment is the same for older men as it is for younger and/or more fit men. Short screening tools can be used to efficiently assess frailty, functional status, life expectancy, and treatment toxicity risk. These risk assessment tools allow for targeted interventions to increase a patient's reserve and improve treatment tolerance, potentially allowing more men to experience the benefit of the significant recent treatment advances in prostate cancer. Treatment plans should also take into consideration each patient's individual goals and values considered within their overall health and social context to reduce barriers to care. In this review, we will discuss evidence-based risk assessment and decision tools for older men with prostate cancer, highlight intervention strategies to improve treatment tolerance, and contextualize these tools within the current treatment landscape for prostate cancer.

Optimal assessment of quality of life for patients with prostate cancer.

The burden of cancer and oncologic treatment is reflected not only through morbidity and mortality, but also through impacts on patient quality of life (QoL). However, QoL has not been historically measured or addressed with the same rigorous methodology as traditional disease-related outcomes such as overall survival and progression, as these are driven by objective measurements and events. Prostate cancer (PCa) is one of the most prevalent non-cutaneous cancers in men around the world. Both the cancer and its treatment significantly impact patients' physical, emotional, sexual, social, and overall QoL. Ensuring assessment and integration of QoL in research and clinical care enables improvement in treatment outcomes that matter most to patients while also facilitating alignment of healthcare priorities with reimbursements. Great strides toward this end have been made over the last decade, but significant room for improvement remains. To ensure high quality, reliable data collection, QoL assessment tools must be psychometrically validated, standardized, widely implemented across trials, and regularly assessed to allow internal and external validity, longitudinal comparative effectiveness research, and quality control. Additional consideration should be taken for instruments used to measure the aspects of QoL specific to minority, caregiver, and elderly populations. Open clinical questions include how providers should weight changes in different QoL subscales and how clinically meaningful difference thresholds should be defined. Review of ongoing clinical trials encouragingly reveals an increased focus on measuring and improving QoL for men with PCa which will inform the way we utilize QoL assessments. However, additional efforts herein described are needed to fully optimize these processes. In summary, this review will explain the rationale for QoL assessments in PCa populations, discuss requirements for effective implementation, describe considerations for vulnerable and under-evaluated populations, and summarize ongoing clinical trials assessing patient QoL.

Representation and Outcomes of Older Adults in Practice-Changing Oncology Trials in the Era of Novel Therapies: A Guideline Appraisal.

BACKGROUND: Older adults account for 70% of cancer-related deaths, but previous studies have shown that they are underrepresented in cancer clinical trials. We sought to analyze the representation and outcomes of older adults in trials conducted in the era of novel targeted therapy and immunotherapy. METHODS: We searched the 2020 NCCN Clinical Practice Guidelines in Oncology and retrieved trials from the past 10 years leading to category 1 recommendations in the first-line metastatic setting for the 5 most common causes of cancer death. We categorized trials by cancer type, single-agent versus multiagent approach, and therapeutic class. We described the percentage of older adults (according to each trial's definition) and used a Mantel-Haenszel random-effects meta-analysis model to compare overall and progression-free survival by age. RESULTS: We identified 30 trials consisting of 24,416 patients. Across all trials, 44% of enrolled patients were older adults. Representation of older adults by cancer type within trials was 49% prostate cancer, 38% pancreatic cancer, 37% breast cancer, and 34% non-small cell lung cancer. Representation of older adults also varied by therapeutic class: 20% received immunotherapy, 44% received cytotoxic chemotherapy, 54% received targeted/hormonal therapy, and 34% received combination therapy (P<.001 for all comparisons). For each year since 2010, the percentage of older adults enrolled in trials increased by 1.9%, although this difference was not significant. We observed no difference in overall or progression-free survival between older and younger adults. In our analysis of practice-changing clinical trials, we found that 44% of clinical trial participants were older adults. Trials that included immunotherapy or a combination of therapeutic classes had a lower representation of older adults (<40%). CONCLUSIONS: We found that >40% of patients in practice-changing trials are older adults. Although they remain underrepresented in clinical trials compared with the general population, older adults in practice-changing trials seem to be better represented than in previously reported analyses of cooperative group trials.

Outcomes of older men receiving docetaxel for metastatic hormone-sensitive prostate cancer.

BACKGROUND: Most men who die of prostate cancer are older than 70 years. The ChemoHormonal Therapy Versus Androgen Ablation Randomized Trial for Extensive Disease in Prostate Cancer (CHAARTED) randomized men of all ages with metastatic hormone-sensitive prostate cancer (mHSPC) to receive androgen deprivation therapy (ADT) with or without docetaxel demonstrating an overall survival (OS) benefit for docetaxel. METHODS: In a post-hoc analysis of this trial, we assessed patient characteristics and OS in patients ≥70 years ("older men") versus <70 years ("younger men") with Cox proportional hazards models. In addition, we compared adverse events, therapy completion rate, and subsequent treatment patterns between these two groups using Chi-squared tests. RESULTS: 177 (22.4%) patients were ≥70 years. Docetaxel + ADT resulted in improved OS in both older and younger men (Hazard Ratio [HR] 0.45, 95%CI: 0.25-0.80 for older men; HR 0.71, 95%CI: 0.53-0.95 for younger men). This treatment benefit was seen for subgroups of older men with high volume disease (HR 0.43, 95%CI 0.23-0.79) and de novo metastatic disease (HR 0.36, 95%CI 0.19-0.69). A similar proportion of older and younger men completed six cycles of docetaxel (82.6% vs. 87.1%, p = 0.28). Rates of grade 3-5 adverse events were similar between older and younger men (36.8% vs. 26.8%, respectively, p = 0.069). The rate of any Grades 4-5 adverse events did not differ significantly between older and younger men (14.9% vs. 11.9%, respectively, p = 0.46). In the control arm, a smaller proportion of older men received subsequent cancer treatments (34.4% vs. 51.5%, p = 0.017) or subsequent docetaxel (25.6% vs. 37.6%, p = 0.035) compared to younger men. CONCLUSIONS: Older men with mHSPC had similar OS benefit and clinical outcomes compared to younger men when receiving docetaxel + ADT. Oncologists should consider docetaxel chemotherapy as a favorable treatment option for older men with mHSPC who are fit for chemotherapy.

Functional Impairment, Symptom Burden, and Clinical Outcomes Among Hospitalized Patients With Advanced Cancer.

BACKGROUND: National guidelines recommend regular measurement of functional status among patients with cancer, particularly those who are elderly or high-risk, but little is known about how functional status relates to clinical outcomes among hospitalized patients with advanced cancer. The goal of this study was to investigate how functional impairment is associated with symptom burden and healthcare utilization and clinical outcomes. PATIENTS AND METHODS: We conducted a prospective observational study of patients with advanced cancer with unplanned hospitalizations at Massachusetts General Hospital from September 2014 through March 2016. Upon admission, nurses assessed patients' activities of daily living (ADLs; mobility, feeding, bathing, dressing, and grooming). Patients with any ADL impairment on admission were classified as having functional impairment. We used the revised Edmonton Symptom Assessment System (ESAS-r) and Patient Health Questionnaire-4 to assess physical and psychological symptoms, respectively. Multivariable regression models were used to assess the relationships between functional impairment, hospital length of stay, and survival. RESULTS: Among 971 patients, 390 (40.2%) had functional impairment. Those with functional impairment were older (mean age, 67.18 vs 60.81 years; P<.001) and had a higher physical symptom burden (mean ESAS physical score, 35.29 vs 30.85; P<.001) compared with those with no functional impairment. They were also more likely to report moderate-to-severe pain (74.9% vs 63.1%; P<.001) and symptoms of depression (38.3% vs 23.6%; P<.001) and anxiety (35.9% vs 22.4%; P<.001). Functional impairment was associated with longer hospital length of stay (ß = 1.29; P<.001) and worse survival (hazard ratio, 1.73; P<.001). CONCLUSIONS: Hospitalized patients with advanced cancer who had functional impairment experienced a significantly higher symptom burden and worse clinical outcomes compared with those without functional impairment. These findings provide evidence supporting the routine assessment of functional status on hospital admission and using this to inform discharge planning, discussions about prognosis, and the development of interventions addressing patients' symptoms and physical function.

Symptom burden in patients with cancer who are experiencing unplanned hospitalization.

BACKGROUND: Inpatient supportive care programs often target patients with advanced solid tumors. To the authors' knowledge, few studies to date have characterized symptom burden in hospitalized patients with potentially curable cancers. The objective of the current study was to compare symptom burden, palliative care consultation, and readmission rates in hospitalized patients by cancer type and treatment intent. METHODS: The authors conducted a single-center study of hospitalized patients with cancer between 2014 and 2017. They assessed physical symptoms using the Edmonton Symptom Assessment System and psychological distress using the Patient Health Questionnaire-4 and the Primary Care PTSD (Posttraumatic Stress Disorder) Screen. Multivariate linear regression models were used to assess symptom burden, logistic regression was used to assess palliative care use, and competing risk regression was used to compare 90-day readmission risk. RESULTS: A total of 1549 patients were enrolled and surveyed. The majority of patients reported moderate to severe fatigue, poor well-being, and drowsiness with no significant differences noted by cancer type and treatment intent. Compared with other groups, patients with incurable solid cancer reported higher physical symptoms (beta coefficient [B], 4.73; P < .01) and symptoms of depression (B, 0.44; P < .01) and anxiety (B, 0.39; P < .01), but no difference in posttraumatic stress disorder. Among patients in the top quartile symptom burden according to the Edmonton Symptom Assessment System, the palliative care service was consulted in 14.7%, 7.9%, 25.0%, and 49.6%, respectively, of patients with potentially curable hematologic, potentially curable solid, incurable hematologic, and incurable solid cancers (P < .001). Compared with patients with potentially curable solid cancer, patients in each group experienced a higher risk of readmission within 90 days. CONCLUSIONS: Hospitalized patients with cancer experience substantial physical and psychological symptoms. Palliative care rarely is consulted for highly symptomatic patients with potentially curable cancers. Supportive care interventions should target the needs of symptomatic patients regardless of treatment intent.

Screening Tool Identifies Older Adults With Cancer at Risk for Poor Outcomes.

BACKGROUND: Oncologists often struggle with managing the complex issues unique to older adults with cancer, and research is needed to identify patients at risk for poor outcomes. METHODS: This study enrolled patients aged ≥70 years within 8 weeks of a diagnosis of incurable gastrointestinal cancer. Patient-reported surveys were used to assess vulnerability (Vulnerable Elders Survey [scores ≥3 indicate a positive screen for vulnerability]), quality of life (QoL; EORTC Quality of Life of Cancer Patients questionnaire [higher scores indicate better QoL]), and symptoms (Edmonton Symptom Assessment System [ESAS; higher scores indicate greater symptom burden] and Geriatric Depression Scale [higher scores indicate greater depression symptoms]). Unplanned hospital visits within 90 days of enrollment and overall survival were evaluated. We used regression models to examine associations among vulnerability, QoL, symptom burden, hospitalizations, and overall survival. RESULTS: Of 132 patients approached, 102 (77.3%) were enrolled (mean [M] ± SD age, 77.25 ± 5.75 years). Nearly half (45.1%) screened positive for vulnerability, and these patients were older (M, 79.45 vs 75.44 years; P=.001) and had more comorbid conditions (M, 2.13 vs 1.34; P=.017) compared with nonvulnerable patients. Vulnerable patients reported worse QoL across all domains (global QoL: M, 53.26 vs 66.82; P=.041; physical QoL: M, 58.95 vs 88.24; P<.001; role QoL: M, 53.99 vs 82.12; P=.001; emotional QoL: M, 73.19 vs 85.76; P=.007; cognitive QoL: M, 79.35 vs 92.73; P=.011; social QoL: M, 59.42 vs 82.42; P<.001), higher symptom burden (ESAS total: M, 31.05 vs 15.00; P<.001), and worse depression score (M, 4.74 vs 2.25; P<.001). Vulnerable patients had a higher risk of unplanned hospitalizations (hazard ratio, 2.38; 95% CI, 1.08-5.27; P=.032) and worse overall survival (hazard ratio, 2.26; 95% CI, 1.14-4.48; P=.020). CONCLUSIONS: Older adults with cancer who screen positive as vulnerable experience a higher symptom burden, greater healthcare use, and worse survival. Screening tools to identify vulnerable patients should be integrated into practice to guide clinical care.

Perceptions of medical status and treatment goal among older adults with advanced cancer.

BACKGROUND: Patient-reported medical status and treatment goal are measures of prognostic understanding with demonstrated relationships to important clinical and patient-reported outcomes in the general cancer population. Among older adults, relationships between these measures and other patient-reported (quality of life [QOL], symptoms, functional impairment) and clinical (hospitalization risk, survival) outcomes remains unclear. METHODS: We enrolled patients ≥70 with advanced gastrointestinal cancers, collecting patient-reported medical status (terminally ill vs not), treatment goal (curative vs non-curative), QOL (EORTC-Elderly Cancer Patients), symptoms (Edmonton Symptom Assessment System [ESAS]), and functional impairment (activities of daily living [ADLs]). We also obtained information about hospitalizations and survival. To explore relationships between patient-reported medical status, treatment goal, QOL, symptoms, functional impairment, hospitalizations, and survival, we used regression models adjusted for age, sex, and education. RESULTS: Of 103 patients, 49.5% reported terminally ill status and 64.0% a non-curative treatment goal. Terminally ill status was associated with worse QOL (EORTC illness burden: 53.59 vs 35.26, p = 0.001), higher symptom burden (ESAS: 28.15 vs 16.79, p = 0.002), more functional impairment (ADLs: 3.63 vs 5.24, p = 0.006), greater hospitalization risk (HR = 2.41, p = 0.020), and worse survival (HR = 1.93, p = 0.010). We did not find associations between patient-reported treatment goal and these outcomes. CONCLUSIONS: In older adults with advanced cancer, report of terminally ill status was associated with other important patient-reported and clinical outcomes, suggesting disease severity may inform illness perceptions. We did not find similar associations for patient-reported treatment goal, indicating that questions related to medical status and treatment goal measure different constructs and more nuanced measures are needed.

Potentially burdensome end-of-life transitions among nursing home residents with poor-prognosis cancer.

BACKGROUND: This study examined factors associated with potentially burdensome end-of-life (EOL) transitions between care settings among older adults with advanced cancer in nursing homes (NHs). METHODS: A retrospective analysis of deceased older NH residents with poor-prognosis solid tumors was conducted with Medicare claims and the Minimum Data Set. A potentially burdensome transition was defined as 2 or more hospitalizations or an intensive care unit admission in the last 90 days of life. RESULTS: Among 34,670 subjects, many had moderate to severe cognitive impairment (53.8%), full dependence in activities of daily living (ADLs; 66.5%), and comorbidities such as congestive heart failure (CHF; 29.3%) and chronic obstructive pulmonary disease (34.1%). Only 56.3% of the patients used hospice at any time in the 90 days before death; 36.0% of the patients experienced a potentially burdensome EOL transition, and this was higher among patients who did not receive hospice (45.4% vs 28.7%; P < .01). In multivariable analyses, full dependence in ADLs (odds ratio [OR], 1.70; P < .01), CHF (OR, 1.48; P < .01), and chronic obstructive pulmonary disease (OR, 1.28; P < .01) were associated with a higher risk of burdensome EOL transitions. Those with do-not-resuscitate directives (OR, 0.60; P < .01) and impaired cognition (OR, 0.89; P < .01) had lower odds of burdensome EOL transitions. CONCLUSIONS: NH residents with advanced cancer have substantial comorbidities and functional impairment, yet more than a third experience potentially burdensome EOL transitions. These findings help to identify a population at risk for poor EOL outcomes in order to target interventions, and they point to the importance of advanced care planning in this population.

A "Hospital-Day-1" Model to Predict the Risk of Discharge to a Skilled Nursing Facility.

OBJECTIVE: To derive and validate a model to predict a patient's probability of skilled nursing facility (SNF) discharge using data available from day 1 of hospitalization. DESIGN: Using a retrospective cohort of 11,380 hospitalized patients, we obtained administrative and electronic medical data to identify predictors of SNF discharge. SETTING AND PARTICIPANTS: Single, urban academic medical center. Patients older than 50 years admitted to the medical service from July 2014 to August 2015. METHODS: Primary outcome defined as SNF discharge. We split the cohort into derivation and validation sets (80/20). We created 1000 bootstrapped samples of the derivation set and used backward selection logistic regression on each bootstrapped sample. The final model included variables selected in ≥60% of the samples. To create a point-based index, a point value was assigned to each predictor variable relative to the logistic regression coefficient. The model's discrimination, calibration, positive predictive value, and negative predictive value tested in the validation set. RESULTS: The overall frequency of SNF discharge was 12%. The final model included 11 variables. Significant demographic variables included age, marital status, insurance type, living alone, residence, and distance from hospital. The final model included 2 significant functional variables (mobility, bathing) and 3 significant clinical variables (admission mode, admission diagnosis, admission day of week). Impairment in mobility [odds ratio (OR) 1.8, 95% confidence interval (CI) 1.4-2.2] and impairment in bathing (OR 1.9, 95% CI 1.6-2.4) were both significant predictors of SNF discharge. The final model discriminated well in the validation cohort (c-statistic = 0.82) and was well calibrated. CONCLUSIONS/IMPLICATIONS: It is possible to predict the day of admission with good accuracy and clinical usability a patient's risk of SNF discharge. The ability to identify early in the hospitalization patients likely to use post-acute services has implications for clinicians, administrators, and policy makers working to improve discharge planning and care transitions.

Potentially Avoidable Hospital Readmissions in Patients With Advanced Cancer.

PURPOSE: Patients with cancer often prefer to avoid time in the hospital; however, data are lacking on the prevalence and predictors of potentially avoidable readmissions (PARs) among those with advanced cancer. METHODS: We enrolled patients with advanced cancer from September 2, 2014, to November 21, 2014, who had an unplanned hospitalization and assessed their patient-reported symptom burden (Edmonton Symptom Assessment System) at the time of admission. For 1 year after enrollment, we reviewed patients' health records to determine the primary reason for every hospital readmission and we classified readmissions as PARs using adapted Graham's criteria. We examined predictors of PARs using nonlinear mixed-effects models with binomial distribution. RESULTS: We enrolled 200 (86.2%) of 232 patients who were approached. For these 200 patients, we reviewed 277 total hospital readmissions and identified 108 (39.0%) of these as PARs. The most common reasons for PARs were premature discharge from a prior hospitalization (30.6%) and failure of timely follow-up (28.7%). PAR hospitalizations were more likely than non-PAR hospitalizations to experience symptoms as the primary reason for admission (28.7% v 13.0%; P = .001). We found that married patients were less likely to experience PARs (odds ratio, 0.30; 95% CI, 0.15 to 0.57; P < .001) and that those with a higher physical symptom burden were more likely to experience PARs (odds ratio, 1.03; 95% CI, 1.01 to 1.05; P = .012). CONCLUSION: We observed that a substantial proportion of hospital readmissions are potentially avoidable and found that patients' symptom burdens predict PARs. These findings underscore the need to assess and address the symptom burden of hospitalized patients with advanced cancer in this highly symptomatic population.

Utility of Functional Metrics Assessed During Acute Care on Hospital Outcomes: A Systematic Review.

OBJECTIVE: Traditionally, illness severity, social factors, and comorbid conditions have been examined as predictors of hospital outcomes. However, recent research in the rehabilitation setting demonstrated that physical function outperformed comorbidity indices as a predictor of 30-day readmission. The purpose of this study was to review the literature examining the association between acute hospital physical function and various hospital outcomes and health care utilization. TYPE: Systematic review. LITERATURE SURVEY: A review of the MEDLINE database was performed. Search terms included acute functional outcomes and frailty outcomes. Studies up to September 2017 were included if they were in English and examined how functional metrics collected at acute care hospitalization affected hospital outcomes. METHODOLOGY: Cohort characteristics and measures of associations were extracted from the studies. Outcomes include hospital readmission, length of stay, mortality, discharge location, and physical function post acute care. The studies were assessed for potential confounders as well as selection, attrition, and detection bias. SYNTHESIS: A total of 30 studies were identified (hospital readmissions: 6; discharge location: 11; length of stay: 4; mortality: 15; function: 6). Thirteen different metrics assessed function during acute care. Lower function during acute care was associated with statistically significant higher odds of hospital readmission, lower likelihood of discharge to home, longer hospital length of stay, increased mortality, and worse functional recovery when compared to patients with higher function during acute care, when adjusted for age and gender. The Barthel Index may be a useful marker for mortality in the elderly whereas the Functional Independence Measure instrument may be valuable for examining discharge location. CONCLUSIONS: There is increasing evidence that function measured during acute care predicts a broad array of meaningful clinical outcomes. Further research would help direct the use of practical, yet parsimonious functional metrics that effectively screen high-need, high-cost patients to deliver optimal care. LEVEL OF EVIDENCE: I.

Use of Antidepressant Medications Moderates the Relationship Between Depressive Symptoms and Hospital Length of Stay in Patients with Advanced Cancer.

BACKGROUND: Among patients with cancer, depressive symptoms are associated with worse clinical outcomes, including greater health care utilization. As use of antidepressant medications can improve depressive symptoms, we sought to examine relationships among depressive symptoms, antidepressant medications, and hospital length of stay (LOS) in patients with advanced cancer. MATERIALS AND METHODS: From September 2014 to May 2016, we prospectively enrolled patients with advanced cancer who had an unplanned hospitalization. We performed chart review to obtain information regarding documented depressive symptoms in the 3 months prior to admission and use of antidepressant medications at the time of admission. We compared differences in hospital LOS by presence or absence of depressive symptoms and used adjusted linear regression to examine if antidepressant medications moderated these outcomes. RESULTS: Of 1,036 patients, 126 (12.2%) had depressive symptoms documented prior to admission, and 288 (27.8%) were taking antidepressant medications at the time of admission. Patients with depressive symptoms experienced longer hospital LOS (7.25 vs. 6.13 days; p = .036). Use of antidepressant medications moderated this relationship; among patients not on antidepressant medications, depressive symptoms were associated with longer hospital LOS (7.88 vs. 6.11 days; p = .025), but among those on antidepressant medications, depressive symptoms were not associated with hospital LOS (6.57 vs. 6.17 days; p = .578). CONCLUSION: Documented depressive symptoms prior to hospital admission were associated with longer hospital LOS. This effect was restricted to patients not on antidepressant medications. Future studies are needed to investigate if use of antidepressant medications decreases LOS for patients hospitalized with advanced cancer and the mechanisms by which this may occur. IMPLICATIONS FOR PRACTICE: This study investigated the prevalence of documented depressive symptoms in patients with advanced cancer in the 3 months prior to an unplanned hospitalization and the prevalence of use of antidepressant medications at time of hospital admission. The relationship of these variables with hospital length of stay was also examined, and it was found that documented depressive symptoms were associated with prolonged hospital length of stay. Interestingly, antidepressant medications moderated the relationship between depressive symptoms and hospital length of stay. These findings support the need to recognize and address depressive symptoms among patients with advanced cancer, with potential implications for optimizing health care utilization.

Symptoms of posttraumatic stress disorder among hospitalized patients with cancer.

BACKGROUND: Patients with cancer experience many stressors placing them at risk for posttraumatic stress disorder (PTSD) symptoms, yet little is known about factors associated with PTSD symptoms in this population. This study explored relationships among patients' PTSD symptoms, physical and psychological symptom burden, and risk for hospital readmissions. METHODS: We prospectively enrolled patients with cancer admitted for an unplanned hospitalization from August 2015-April 2017. Upon admission, we assessed patients' PTSD symptoms (Primary Care PTSD Screen), as well as physical (Edmonton Symptom Assessment System [ESAS]) and psychological (Patient Health Questionnaire 4 [PHQ-4]) symptoms. We examined associations between PTSD symptoms and patients' physical and psychological symptom burden using linear regression. We evaluated relationships between PTSD symptoms and unplanned hospital readmissions within 90-days using Cox regression. RESULTS: We enrolled 954 of 1,087 (87.8%) patients approached, and 127 (13.3%) screened positive for PTSD symptoms. The 90-day hospital readmission rate was 38.9%. Younger age, female sex, greater comorbidities, and genitourinary cancer type were associated with higher PTSD scores. Patients' PTSD symptoms were associated with physical symptoms (ESAS physical: B = 3.41; P < .001), the total symptom burden (ESAS total: B = 5.97; P < .001), depression (PHQ-4 depression: B = 0.67; P < .001), and anxiety symptoms (PHQ-4 anxiety: B = 0.71; P < .001). Patients' PTSD symptoms were associated with a lower risk of hospital readmissions (hazard ratio, 0.81; P = .001). CONCLUSIONS: A high proportion of hospitalized patients with cancer experience PTSD symptoms, which are associated with a greater physical and psychological symptom burden and a lower risk of hospital readmissions. Interventions to address patients' PTSD symptoms are needed and should account for their physical and psychological symptom burden. Cancer 2018. © 2018 American Cancer Society.

Predictors of Posthospital Transitions of Care in Patients With Advanced Cancer.

Purpose Patients with advanced cancer experience potentially burdensome transitions of care after hospitalizations. We examined predictors of discharge location and assessed the relationship between discharge location and survival in this population. Methods We conducted a prospective study of 932 patients with advanced cancer who experienced an unplanned hospitalization between September 2014 and March 2016. Upon admission, we assessed patients' physical symptoms (Edmonton Symptom Assessment System) and psychological distress (Patient Health Questionnaire-4). The primary outcome was discharge location (home without hospice, postacute care [PAC], or hospice [any setting]). The secondary outcome was survival. Results Of 932 patients, 726 (77.9%) were discharged home without hospice, 118 (12.7%) were discharged to PAC, and 88 (9.4%) to hospice. Those discharged to PAC and hospice reported high rates of severe symptoms, including dyspnea, constipation, low appetite, fatigue, depression, and anxiety. Using logistic regression, patients discharged to PAC or hospice versus home without hospice were more likely to be older (odds ratio [OR], 1.03; 95% CI, 1.02 to 1.05; P < .001), live alone (OR, 1.95; 95% CI, 1.25 to 3.02; P < .003), have impaired mobility (OR, 5.08; 95% CI, 3.46 to 7.45; P < .001), longer hospital stays (OR, 1.15; 95% CI, 1.11 to 1.20; P < .001), higher Edmonton Symptom Assessment System physical symptoms (OR, 1.02; 95% CI, 1.003 to 1.032; P < .017), and higher Patient Health Questionnaire-4 depression symptoms (OR, 1.13; 95% CI, 1.01 to 1.25; P < .027). Patients discharged to hospice rather than PAC were more likely to receive palliative care consultation (OR, 4.44; 95% CI, 2.12 to 9.29; P < .001) and have shorter hospital stays (OR, 0.84; 95% CI, 0.77 to 0.91; P < .001). Patients discharged to PAC versus home had lower survival (hazard ratio, 1.53; 95% CI, 1.22 to 1.93; P < .001). Conclusion Patients with advanced cancer who were discharged to PAC facilities and hospice had substantial physical and psychological symptom burden, impaired physical function, and inferior survival compared with those discharged to home. These patients may benefit from interventions to enhance their quality of life and care.

Living Alone and Discharge to Skilled Nursing Facility Care after Hospitalization in Older Adults.

BACKGROUND/OBJECTIVES: Community-based older adults are increasingly living alone. When they become ill, they might need greater support from the healthcare system than would those who live with others. There also has been a growing concern about the high use of postacute care such as skilled nursing facility (SNF) care and the level of variation in this use between hospitals and regions. Our objective was to examine whether living alone contributed to the risk of being discharged to a SNF. DESIGN: Retrospective cohort study. SETTING: Massachusetts General Hospital. PARTICIPANTS: Community-dwelling individuals aged 50 and older admitted to the medical service and discharged alive between July 2014 and August 2015 (N = 7,029). MEASUREMENTS: We extracted demographic, clinical, and functional data from the electronic medical record and used multivariable logistic regression to determine whether living alone at the time of hospitalization was associated with subsequent discharge to a SNF. RESULTS: Of eligible individuals, 24.8% reported living alone before admission. Those living alone were more likely to be female, older, and more independent before admission than those living with others. Of all participants, 10.9% were discharged to a SNF. After adjustment, participants living alone had more than twice the odds of being discharged to a SNF (odds ratio = 2.23, 95% confidence interval = 1.85-2.69, P < .001). DISCUSSION: People living alone are more likely to be discharged to SNFs, even when compared to other individuals with similar levels of clinical complexity and functional status. To the extent that this variation is due to a lack of home support, it could be possible to reduce SNF use through additional home services after hospital discharge.