Sleep-wake difficulties in community-dwelling cancer patients receiving palliative care: subjective and objective assessment

Assessment and Management of Sleep Disturbance in Palliative Care Settings

Background: Sleep disturbances, including insomnia, sleep-disordered breathing, and circadian rhythm disorders with potential consequences including excessive daytime somnolence and worsening fatigue, are prevalent yet largely under-measured and therefore under-managed problems in people receiving palliative care. This has the potential to negatively affect the person's functioning and quality of life. Objectives: We aimed to review the current practice of assessment and management of sleep disturbances in people with life-limiting illnesses in Australian and New Zealand palliative care settings, and to define areas for improvement in assessment and management of sleep disturbances and further research. Design: A cross-sectional, online survey was conducted with palliative care health professionals (PCHPs) to explore current approaches to routine assessment of sleep disturbances and PCHPs' awareness of, and perceived access to, evidence-based resources for assessing and managing sleep disturbances in their local settings. Results: Fifty-four PCHPs responded to the survey, including allied health professionals (44%), palliative care nurses (26%), and physicians (19%). Over 70% of PCHPs endorsed routine verbal screening of sleep symptoms, and >90% recommended management with basic behavioral strategies. However, none of PCHPs used validated patient-reported outcome measures for sleep, and <10% of PCHPs demonstrated awareness or use of sleep-specific interventions (including medications). Only 40% reported they had access to sleep specialist services for patients. Conclusion: Our findings provide a useful snapshot of current approaches to managing sleep disturbances in palliative care. Gaps in current practice are highlighted, including the lack of structured, clinical assessment, referral pathways, and PCHPs' perceived lack of access to targeted interventions for sleep disturbances.

Circadian rhythm disorders in patients with advanced cancer: a scoping review

Circadian rhythms can be demonstrated in several biomarkers and behavioural activities, with rhythmical patterns occurring roughly over a 24-h period. Circadian disorders occur in patients with cancer and may be associated with poor clinical outcomes. This scoping review aimed to identify circadian rhythm research and reporting practices, circadian rhythm patterns, circadian rhythm disorders, and relevant associations of circadian rhythm disorders in patients with advanced cancer. Studies involved adult patients with locally advanced or metastatic cancer and used objective measures of circadian rhythmicity. Two independent authors completed initial screening of title and abstracts, full text reviews, data extraction, and data checking. A total of 98 articles were highlighted in the scoping review, which utilised physical activity measures (actigraphy and polysomnography), biomarkers (cortisol and melatonin), or a combination. Several circadian rhythms are commonly disordered amongst patients with advanced cancer and have significant implications for symptom burden, quality of life, and survival. It remains unclear which patients are most at risk of a circadian rhythm disorder. Significant heterogeneity exists in research and reporting practices. Standardising this approach may address discrepancies in the current literature and allow for research to focus on the most relevant parameters and approaches to improving circadian rhythmicity.

Sleep Quality and Associated Factors Among Adult Cancer Patients on Treatments at Tikur Anbessa Specialized Hospital Oncology Unit, Addis Ababa, Ethiopia, 2021

BACKGROUND

Patients with cancer frequently reported sleep problems during their treatments which can affect their sleep quality have an impact on patients' quality of life (QOL).

OBJECTIVE

to assess the prevalence of sleep quality and associated factors in adult cancer patients on treatment in the Oncology unit of Tikur Anbessa Specialized Hospital, Addis Ababa, Ethiopia, 2021.

METHODS

institutional-based cross-sectional study design was used and data was collected by using face-to-face structured interview questionnaires from March 1 to April 1, 2021. Sleep Quality Index (PSQI) consisted of 19 items, the social support scale (OSS-3) consisted of 3 items, and the Hospital Anxiety and Depression Scale (HADS) consisted of 14 items were applied. Logistic regression including bivariate and multivariate analysis was done to examine the association between dependent and independent variables, and P< 0.05 was considered the level of significance for associations.

RESULTS

A total of 264 sampled adult cancer patients on treatments were included in this study, with a response rate of 93.61%. About 26.5% of the participants' age distribution was between 40 to 49 years, and 68.6% were female. 59.8% of the study participants were married. Concerning education, about 48.9% of participants attended primary and secondary school and 45% of participants were unemployed. Overall, 53.79% of individuals had poor sleep quality. Low income ((AOR=5.36 CI 95% (2.23, 12.90), fatigue (AOR=2.89 CI 95(1.32, 6.33), pain (AOR 3.82 C I95 % (1.84, 7.93), poor of social support (AOR =3.20 CI 95% (1.43, 6.74), anxiety (AOR=3.48 CI 95% (1.44, 8.38) and depression (AOR 2.87 CI 95 % (1.05-7.391) were all associated with poor sleep quality.

CONCLUSION

This study revealed a high prevalence of poor sleep quality, which was significantly associated with factors like low income, fatigue, pain, poor social support, anxiety, and depression among cancer patients on treatments.

An Update on Prevalence, Assessment, and Risk Factors for Sleep Disturbances in Patients with Advanced Cancer—Implications for Health Care Providers and Clinical Research

Simple Summary

This review focuses on sleep in patients with advanced cancer. Cancer patients experience multiple symptoms and they receive concomitant medications. These are all factors that may affect sleep. In this paper, we present recommendations on sleep assessment in patients with advanced cancer and highlight cancer-related factors that may contribute to insomnia. Sleep is an essential aspect of health-related quality of life; therefore, it is important for health care providers to focus on sleep to improve patient care.

Abstract

Patients with advanced cancer experience multiple symptoms, with fluctuating intensity and severity during the disease. They use several medications, including opioids, which may affect sleep. Sleep disturbance is common in cancer patients, decreases the tolerability of other symptoms, and impairs quality of life. Despite its high prevalence and negative impact, poor sleep quality often remains unrecognized and undertreated. Given that sleep is an essential aspect of health-related quality of life, it is important to extend both the knowledge base and awareness among health care providers in this field to improve patient care. In this narrative review, we provide recommendations on sleep assessment in patients with advanced cancer and highlight cancer-related factors that contribute to insomnia. We also present direct implications for health care providers working in palliative care and for future research.

Sleeping-related distress in a palliative care population: A national, prospective, consecutive cohort

BACKGROUND

Sleep, a multi-dimensional experience, is essential for optimal physical and mental wellbeing. Poor sleep is associated with worse wellbeing but data are scarce from multi-site studies on sleeping-related distress in palliative care populations.

AIM

To evaluate patient-reported distress related to sleep and explore key demographic and symptom distress related to pain, breathing or fatigue.

DESIGN

Australian national, consecutive cohort study with prospectively collected point-of-care data using symptoms from the Symptom Assessment Scale (SAS).

SETTING/PARTICIPANTS

People (n = 118,117; 475,298 phases of care) who died while being seen by specialist palliative care services (n = 152) 2013-2019. Settings: inpatient (direct care, consultative); community (outpatient clinics, home, residential aged care).

RESULTS

Moderate/severe levels of sleeping-related distress were reported in 11.9% of assessments, more frequently by males (12.7% vs 10.9% females); people aged <50 years (16.2% vs 11.5%); and people with cancer (12.3% vs 10.0% for other diagnoses). Sleeping-related distress peaked with mid-range Australia-modified Karnofsky Performance Status scores (40-60).Strong associations existed between pain-, breathing- and fatigue-related distress in people who identified moderate/severe sleeping-related distress, adjusted for age, sex and functional status. Those reporting moderate/severe sleeping-related distress were also more likely to experience severe pain-related distress (adjusted odds ratios [OR] 6.6; 95% confidence interval (CI) 6.3, 6.9); breathing-related distress (OR 6.2; 95% CI 5.8, 6.6); and fatigue-related distress (OR 10.4; 95% CI 9.99-10.8).

CONCLUSIONS

This large, representative study of palliative care patients shows high prevalence of sleeping-related distress, with strong associations shown to distress from other symptoms including pain, breathlessness and fatigue.

Systematic Review of the Prevalence, Predictors, and Treatment of Insomnia in Palliative Care

Introduction:

The primary function of palliative care is to improve quality of life. The recognition and treatment of symptoms causing suffering is central to the achievement of this goal. Insomnia reduces quality of life of patients under palliative care. Knowledge about prevalence, associated factors, and treatment of insomnia in palliative care is scarce.

Methodology:

Literature review about the prevalence, predictors, and treatment options of insomnia in palliative care patients. Primary sources of investigation were identified and selected through Pubmed and Scopus databases. The research was complemented by reference search in identified articles and selected reviews. OpenGrey and Google Scholar were used for searching grey literature. Study quality analysis was based on the Newcastle-Ottawa Scale.

Results:

A total of 65 studies were included in the review. Most studies had acceptable /good quality. The prevalence of insomnia in the included studies ranged from 2.1% to 100%, with a median overall prevalence of 49.5%. Sociodemographic factors such as age; clinical characteristics such as functional status, disease stage, pain, and use of specific drugs, including opioids; psychological factors such as anxiety/depression; and spiritual factors such as feelings of well-being were identified as predictors. The treatment options identified were biological (pharmacological and nonpharmacological), psychological (visualization, relaxation), and spiritual (prayer).

Conclusions:

The systematic review showed that the prevalence of insomnia is high, with at least one in 3 patients affected in most studies. Insomnia’s risk factors and treatment in palliative care are both associated to physical, psychological, social, and spiritual factors, reflecting its true holistic nature.

A screening method for sleep disturbances at the end-of-life

OBJECTIVE

To evaluate sleep disturbances and to verify the accuracy of three screening tests to detect them in patients at the end-of-life admitted in a hospital palliative care unit.

METHOD

The level of sleep disturbances was evaluated through the Pittsburgh Sleep Quality Index (PSQI) in 150 palliative patients. This questionnaire was the criterion variable for testing the three screening tests used: Edmonton Symptom Assessment System (ESAS-Sleep subscale); the single question "How much do you worry about your sleep problems?" which is answered on a scale of 0-10 (Sleep-Worry-Q) and another single question: "Do you think you have sleep problems?" with two response categories, Yes/No (Sleep-Problem-Q).

RESULTS

According to the PSQI (cut-off point: 8), 87% of patients presented sleep disturbances. The ESAS-Sleep (cut-off point: 3) showed a sensitivity of 0.87, a specificity of 0.58, and an AUC of 0.729; the Sleep-Worry-Q (cut-off point: 4) showed a sensitivity of 0.95, a specificity of 0.68, and an AUC of 0.854; the Sleep-Problem-Q obtained a sensitivity of 0.92 and a specificity of 0.65.

SIGNIFICANCE OF RESULTS

Patients at the end-of-life, near the time of death, have high levels of sleep disturbances that can be detected early, with better diagnostic accuracy, with the Sleep-Worry-Q. Although from a clinical point of view, the application of the Sleep-Problem-Q may be more advantageous, as it presents good diagnostic accuracy, greater simplicity, and brevity.

The day after: correlates of patient-reported outcomes with actigraphy-assessed sleep in cancer patients at home (inCASA project)

Subjective sleep assessment in cancer patients poorly correlates with actigraphy parameters that usually encompass multiple nights. We aimed to determine the objective actigraphy measures that best correlated with subjective sleep ratings on a night-by-night basis in cancer patients. Thirty-one cancer patients daily self-rated sleep disturbances using the single dedicated item of the MD Anderson Symptom Inventory (0-10 scale) with 18 other items, and continuously wore a wrist actigraph for 30 days. Objective sleep parameters were computed from the actigraphy nighttime series, and correlated with subjective sleep disturbances reported on the following day, using repeated measures correlations. Multilevel Poisson regression analysis was performed to identify the objective and subjective parameters that affected subjective sleep rating. Poor subjective sleep score was correlated with poor sleep efficiency (rrm = -0.13, p = 0.002) and large number of wake episodes (rrm = 0.12, p = 0.005) on the rated night. Multilevel analysis demonstrated that the expected sleep disturbance score was affected by the joint contribution of the wake episodes (exp(β) = 1.01, 95% confidence interval = 1.00 to 1.02, p = 0.016), fatigue (exp(β) = 1.35, 95% confidence interval = 1.15 to 1.55, p < 0.001) and drowsiness (exp(β) = 1.70, 95% confidence interval = 1.19 to 2.62, p = 0.018), self-rated the following evening, and sleep disturbance experienced one night before (exp(β) = 1.77, 95% confidence interval = 1.41 to 2.22, p < 0.001). The night-by-night approach within a multidimensional home tele-monitoring framework mainly identified the objective number of wake episodes computed from actigraphy records as the main determinant of the severity of sleep complaint in cancer patients on chemotherapy. This quantitative information remotely obtained in real time from cancer patients provides a novel framework for streamlining and evaluating interventions toward sleep improvement in cancer patients.

Sleep quality in hospitalized patients with advanced cancer: an observational study using self-reports of sleep and actigraphy

PURPOSE

Although patients with advanced cancer report poor sleep quality, few studies have assessed sleep quality with a combination of subjective and objective measures. We aimed to examine sleep quality in hospitalized patients with advanced cancer by combining patient-reported outcome-measures (PROMs) and polysomnography (PSG) or actigraphy.

METHODS

A one-night prospective observational study of sleep in hospitalized patients with metastatic cancer using WHO step III opioids was conducted. Total sleep time, sleep onset latency, number of awakenings, and wake after sleep onset were assessed by PROMs and actigraphy. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) (range; 0-21), where higher scores indicate worse sleep quality.

RESULTS

Forty patients were monitored. Median age was 70, median oral morphine equivalent dose was 80 mg/24 h (10-1725), median Karnofsky Performance Score was 50 (20-90), and median time to death from inclusion was 38 days (4-319). Mean PSQI score was 6.5 (SD ± 3.4). PROMs and actigraphy of mean (SD) sleep onset latency were 46 (± 64) and 35 min (± 61), respectively, while mean time awake at night was 37 (± 35) and 40 min (± 21). PROMs and actigraphy differed on number of awakenings (mean 2 (± 1) vs. 24 (± 15), p ˂ 0.001). Bland-Altman plots showed large individual differences between PROMs and actigraphy. PSG was not feasible.

CONCLUSIONS

PROMs and actigraphy documented poor sleep quality, but a lack of agreement across methods. The study demonstrates a need to improve assessment of sleep quality and treatment of sleep disturbance in hospitalized patients with advanced cancer near end of life.

Screening for clinical insomnia in cancer patients with the Edmonton Symptom Assessment System-Revised: a specific sleep item is needed

OBJECTIVE

We previously investigated the capacity of the original version of the Edmonton Symptom Assessment System-Revised (ESAS-r) and the Canadian Problem Checklist (CPP) to screen for clinical levels of insomnia in cancer patients. The original ESAS-r includes an item assessing drowsiness and an "other symptom" item, both of which are rated on a scale from 0 to 10, while the CPC has a sleep item, a box which is checked when this problem is present. Because none of these items showed an optimal screening capacity, we concluded that it would be best to add a specific 0-10 sleep item to the ESAS-r. This study assessed the capacity of this ESAS-r-sleep item to screen for clinical insomnia in patients with various cancer types.

METHODS

A total of 392 patients with mixed cancer sites completed the ESAS-r as part of a routine screening procedure implemented in the radio-oncology department of L'Hôtel-Dieu de Québec (CHU de Québec-Université Laval). They also filled out the Insomnia Severity Index (ISI).

RESULTS

Using a score of 8 or greater on the ISI as the standard criterion for clinical insomnia, a score of 2 or higher on the ESAS-r-sleep item (50.8% of the patients) was the one that showed the best screening indices: sensitivity of 86.7%, specificity of 75.3%, positive predictive value of 71.9%, and negative predictive value of 88.6%. An area under the curve of 0.89 was found, which is excellent.

CONCLUSIONS

Adding a sleep item to the ESAS significantly improves screening of clinical insomnia in cancer patients.

Correlates of disrupted sleep-wake variables in patients with advanced cancer

OBJECTIVES

High rates of sleep difficulties have been found in patients with advanced cancer. However, not much is known about factors that are associated with sleep impairments in this population and that could constitute their potential risk factors or consequences. This study conducted in patients with cancer receiving palliative care aimed to evaluate the relationships of subjective (sleep diary; Insomnia Severity Index, ISI) and objective (actigraphy) sleep-wake variables with several physical and psychological symptoms, maladaptive sleep behaviours, erroneous beliefs about sleep, quality of life, time to death and environmental factors.

METHODS

The sample was composed of 57 community-dwelling patients with cancer receiving palliative care and with an Eastern Cooperative Oncology Group Scale score of 2 or 3. Actigraphic, light and sound recording and a daily sleep and pain diary were completed for seven consecutive days. A battery of self-report scales was also administered.

RESULTS

Greater disruptions of subjective and objective sleep-wake variables were more consistently associated with worse physical symptoms than with psychological variables. Disrupted objective sleep-wake parameters were also associated with a greater frequency of maladaptive sleep behaviours. Finally, a greater nocturnal noise in the bedroom was correlated with more impairments in subjective and objective sleep-wake variables while a lower 24-hour light exposure was associated with more disruption of subjectively assessed sleep only.

CONCLUSIONS

Although longitudinal studies are needed to establish the etiology of sleep-wake difficulties in patients with advanced cancer, our findings suggest that physical symptoms, maladaptive sleep behaviours and environmental factors can contribute to their development or their persistence and need to be adequately addressed.