Associations of preloss and postloss factors with severe depressive symptoms and quality of life over the first 2 years of bereavement for family caregivers of terminally ill cancer patients

BACKGROUND

Family caregivers carry heavy end-of-life (EOL) caregiving burdens, with their physical and psychological well-being threatened from caregiving to bereavement. However, caregiving burden has rarely been examined as a risk factor for bereavement adjustment to disentangle the wear-and-tear vs relief models of bereavement. Objective/Methods Preloss and postloss variables associated with severe depressive symptoms and quality of life (QOL) for 201 terminally ill cancer patients' caregivers over their first 2 years of bereavement were simultaneously evaluated using multivariate hierarchical linear modeling. Severe depressive symptoms (Center for Epidemiological Studies Depression Scale score > 16) and QOL (physical and mental component summaries of the Medical Outcomes Study Short-Form Health Survey) were measured 1, 3, 6, 13, 18, and 24 months postloss.

RESULTS

Caregivers' likelihood of severe depressive symptoms and mental health-related QOL improved significantly from the second year and throughout the first 2 years of bereavement, respectively, whereas physical health-related QOL remained steady over time. Higher subjective caregiving burden and postloss concurrent greater social support and better QOL were associated with bereaved caregivers' lower likelihood of severe depressive symptoms. Bereaved caregivers' mental health-related QOL was facilitated and impeded by concurrent greater perceived social support and severe depressive symptoms, respectively.

CONCLUSION

Severe depressive symptoms and mental health-related QOL improved substantially, whereas physical health-related QOL remained steady over the first 2 years of bereavement for cancer patients' caregivers. Timely referrals to adequate bereavement services should be promoted for at-risk bereaved caregivers, thus addressing their support needs and facilitating their bereavement adjustment.

Predictors and trajectory of performance status in patients with advanced cancer: A secondary data analysis of the international European Palliative Care Cancer Symptom study

BACKGROUND:

Performance status, a predictor of cancer survival, and ability to maintain independent living deteriorate in advanced disease. Understanding predictors of performance status trajectory could help identify those at risk of functional deterioration, target support for independent living and reduce service costs. The relationship between symptoms, analgesics and performance status is poorly delineated.

AIM:

The aim of this study is to determine whether demographics, analgesics, disease characteristics, quality-of-life domains and C-reactive protein predict the trajectory of Karnofsky Performance Status (KPS) in patients with advanced cancer.

DESIGN:

The study design is the secondary data analysis of the international prospective, longitudinal European Palliative Care Cancer Symptom study (ClinicalTrials.gov: NCT01362816). A multivariable regression model was built for KPS area under the curve per day (AUC).

SETTING AND PARTICIPANTS:

This included adults with advanced, incurable cancer receiving palliative care, without severe cognitive impairment and who were not imminently dying (n = 1739).

RESULTS:

The mean daily KPS AUC (n = 1052) was 41.1 (standard deviation = 14.1). Opioids (p < 0.001), co-analgesics (p = 0.023), poorer physical functioning (p < 0.001) and appetite loss (p = 0.009) at baseline were explanatory factors for lower KPS AUC. A subgroup analysis of participants with C-reactive protein data (n = 240) showed that only C-reactive protein (p = 0.040) and physical function (p < 0.001) were associated with lower KPS AUC.

CONCLUSION:

This study is novel in determining explanatory factors for subsequent functional trajectories in an international dataset and identifying systemic inflammation as a candidate therapeutic target to improve functional performance. The effect of interventions targeting physical function, appetite and inflammation, such as those used for cachexia management, on maintaining functional status in patients with advanced cancer needs to be investigated.

Factors Predisposing Terminally Ill Cancer Patients' Preferences for Distinct Patterns/States of Life-Sustaining Treatments Over Their Last Six Months

CONTEXT

High-quality end-of-life (EOL) care depends on thoroughly assessing terminally ill patients' preferences for EOL care and tailoring care to individual needs. Studies on predictors of EOL-care preferences were primarily cross-sectional and assessed preferences for multiple life-sustaining treatments (LSTs), making clinical applications difficult.

OBJECTIVE/METHODS

We examined factors predisposing cancer patients (N = 303) to specific LST-preference states (life-sustaining preferring, comfort preferring, uncertain, and nutrition preferring) derived from six LSTs (cardiopulmonary resuscitation, intensive care unit care, chest compression, intubation with mechanical ventilation, intravenous nutrition, and tube feeding) in patients' last six months by multilevel multinomial logistic regression.

RESULTS

Participants with accurate prognostic awareness and physician-patient EOL-care discussions were less likely to be in life-sustaining-preferring, uncertain, and nutrition-preferring states than in the comfort-preferring state. Better quality of life (QOL) and more depressive symptoms predisposed participants to be less likely to be in the uncertain than in the comfort-preferring state. Membership in the nutrition-preferring rather than the comfort-preferring state was significantly higher for participants in the state of moderate symptom distress with severe functional impairment than in the state of mild symptom distress with high functioning.

CONCLUSION

Accurate prognostic awareness, physician-patient EOL-care discussions, QOL, depressive symptoms, and symptom-functional states predisposed terminally ill cancer patients to distinct LST-preference states. Clinicians should cultivate patients' accurate prognostic awareness and facilitate EOL-care discussions to foster realistic expectations of LST efficacy at EOL. Clinicians should enhance patients' QOL to reduce uncertainty in EOL-care decision making and provide adequate psychological support to those with more depressive symptoms who prefer comfort care only.

Family Caregivers' Subjective Caregiving Burden, Quality of Life, and Depressive Symptoms Are Associated With Terminally Ill Cancer Patients' Distinct Patterns of Conjoint Symptom Distress and Functional Impairment in Their Last Six Months of Life

CONTEXT

Family caregivers constitute a critical component of the end-of-life care system with considerable cost to themselves. However, the joint association of terminally ill cancer patients' symptom distress and functional impairment with caregivers' subjective caregiving burden, quality of life (QOL), and depressive symptoms remains unknown.

OBJECTIVES/METHODS

We used multivariate hierarchical linear modeling to simultaneously evaluate associations between five distinct patterns of conjoint symptom distress and functional impairment (symptom-functional states) and subjective caregiving burden, QOL, and depressive symptoms in a convenience sample of 215 family caregiver-patient dyads. Data were collected every 2 to 4 weeks over patients' last 6 months.

RESULTS

Caregivers of patients in the worst symptom-functional states (States 3-5) reported worse subjective caregiving burden and depressive symptoms than those in the best two states, but the three outcomes did not differ between caregivers of patients in State 3 and States 4-5. Caregivers of patients in State 5 endured worse subjective caregiving burden and QOL than those in State 4. Caregivers of patients in State 4 suffered worse subjective caregiving burden and depressive symptoms but comparable QOL to those in State 2.

CONCLUSION

Patients' five distinct, conjoint symptom-functional states were significantly and differentially associated with their caregivers' worse subjective caregiving burden, QOL, and depressive symptoms while caring for patients over their last 6 months.

Development and prospective evaluation of CAPLET, a cancer ambulatory patient physical function longitudinal evaluation tool for routine clinical practice

PURPOSE

A patient's physical function is a critical outcome variable for measuring and improving chronic care management. However, patient-reported outcome measures of physical function are not routinely assessed in cancer outpatients, in part due to limitations of tools available. This study presents the development and evaluation of the Cancer Ambulatory Patient Physical Function Longitudinal Evaluation Tool (CAPLET) as an adaptive response tool for routinely screening for physical dysfunction in oncology clinical practice.

METHODS

In phase 1, 407 adult outpatients at Princess Margaret Cancer Centre completed the World Health Organization Disability Assessment Schedule (WHODAS) 2.0, Health Assessment Questionnaire Disability Index (HAQ-DI), EuroQuol-5D-3L ( EQ-5D-3L), and patient-reported outcome (PRO)-Eastern Cooperative Oncology Group (ECOG). CAPLET was developed based on a branching logic algorithm navigating patients to appropriate domains of HAQ-DI/WHOAS using their responses to the PRO-ECOG/EQ-5D-3L as screeners. Sensitivity/specificity of CAPLET screeners for HAQ-DI/WHODAS items were reported. In phase 2, CAPLET vs the WHODAS/HAQ-DI were alternatively administrated to 318 adult outpatients in a two-arm trial comparing time to completion and acceptability between the tools.

RESULTS

Using a patient's ECOG status and the sum of the mobility, self-care, and usual activity dimensions of the EQ-5D-3L to dichotomize patients as with or without difficulty, CAPLET achieved a sensitivity > 90% against recommended WHODAS and HAQ-DI cutoffs for significant dysfunction. Sensitivity of screeners for capturing dysfunction in individual WHODAS/HAQ-DI items ranged from 85 to 100%. Compared to the HAQ-DI/WHODAS, CAPLET was associated with a 50% reduction in administration times and improved patient acceptability, while reducing question burden by 84% for half the sample population.

CONCLUSIONS

CAPLET improves the feasibility of capturing detailed assessments of patient-reported physical function in cancer outpatients.

Distinct Patterns of Conjoint Symptom Distress and Functional Impairment in the Last Year of Life Predict Terminally Ill Cancer Patients' Survival

CONTEXT/OBJECTIVES

Our study addressed important knowledge gaps about trajectories of distinct conjoint symptom-functional states, that is, patterns for different levels of combined symptom distress and functional impairment, over cancer patients' last year and their ability to predict survival.

METHODS

We identified distinct symptom-functional states and explored their changes over 317 terminally ill cancer patients' last year by a transition model using hidden Markov modeling. These distinct symptom-functional states' ability to predict current survival probability, measured in the previous assessment, was evaluated by multivariate Cox regression models.

RESULTS

We identified five worsening, conjoint symptom-functional states: 1) mild symptom distress with high functioning, 2) moderate symptom distress with mild functional impairment, 3) severe symptom distress with moderate functional impairment, 4) moderate symptom distress with severe functional impairment, and 5) profound symptom distress and functional impairment. Trajectories of these five states differed substantially by direction (downward vs. upward) and speed. Participants in States 1-4 had substantially lower risk of subsequent death than those in State 5 (adjusted hazard ratios [95% CI] ranged from 0.048 [0.028-0.081] to 0.434 [0.316-0.579]). The risk of subsequent death differed significantly between patients in any two distinct symptom-functional states, except between those in States 3 and 4.

CONCLUSION

Our identification of five distinct symptom-functional states and their unique transition patterns and prediction of mortality provides all stakeholders with guides for end-of-life care. Goals of end-of-life care should change toward palliative care and effective symptom management for patients with at least moderate symptom distress and substantial functional impairment.

Predictors of functional capacity in colorectal cancer patients

PURPOSE

The aim of this study is to determine the predictors of functional capacity and explore the relationship between functional capacity, performance status, fatigue, quality of life, anxiety, and depression in colorectal cancer (CRC) patients.

METHODS

Forty-two patients diagnosed as stage II-III CRC according to tumor, node, metastasis (TNM) classification were included the study. Functional capacity, performance status, fatigue, quality of life, anxiety, and depression of CRC patients were assessed using six-minute walk distance (6MWD) in the six-minute walk test (6MWT), Eastern Cooperative Oncology Group Performance Status (ECOG-PS), Brief Fatigue Inventory (BFI), Functional Assessment of Cancer Therapy-Colorectal (FACT-C), and Hospital Anxiety and Depression Scale (HADS), respectively. A multiple linear regression model was used to identify independent predictors of functional capacity.

RESULTS

The six-minute walk distance (6MWD) was intermediately and negatively correlated with ECOG-PS score (p = 0.001, r = -0.415), BFI-impact of fatigue on daily functioning score (p = 0.013, r = -0.379), and age (p = 0.040, r = -0.319). An intermediate and positive correlation was found between 6MWD and FACT-C score (p = 0.016, r = 0.369). The multiple regression analysis revealed that only ECOG-PS score was significant and independent predictor of the 6MWD, accounted for 34.8 % of the variance.

CONCLUSION

Performance status was found to be the only significant predictor of functional capacity in this study. Assessing performance status may have an essential role in order to predict functional capacity in CRC patients. Future studies that include a larger sample size would more clearly elucidate the predictors and relationships of functional capacity.