Patient-reported sleep disturbance in advanced cancer: frequency, predictors and screening performance of the Edmonton Symptom Assessment System sleep item

A comparison of the prevalence of dry mouth and other symptoms using two different versions of the Edmonton Symptom Assessment System on an inpatient palliative care unit

BACKGROUND

Symptom assessment is key to effective symptom management and palliative care for patients with advanced cancer. Symptom prevalence and severity estimates vary widely, possibly dependent on the assessment tool used. Are symptoms specifically asked about or must the patients add them as additional symptoms? This study compared the prevalence and severity of patient-reported symptoms in two different versions of a multi-symptom assessment tool. In one version, three symptoms dry mouth, constipation, sleep problems were among those systematically assessed, while in the other, these symptoms had to be added as an "Other problem".

METHODS

This retrospective cross-sectional study included adult patients with advanced cancer at an inpatient palliative care unit. Data were collected from two versions of the Edmonton Symptom Assessment System (ESAS): modified (ESAS-m) listed 11 symptoms and revised (ESAS-r) listed 9 and allowed patients to add one "Other problem". Seven similar symptoms were listed in both versions.

RESULTS

In 2013, 184 patients completed ESAS-m, and in 2017, 156 completed ESAS-r. Prevalence and severity of symptoms listed in both versions did not differ. In ESAS-m, 83% reported dry mouth, 73% constipation, and 71% sleep problems, but on ESAS-r, these symptoms were reported by only 3%, 15% and < 1%, respectively. Although ESAS-r severity scores for these three symptoms were higher than on ESAS-m, differences did not reach statistical significance.

CONCLUSION

We identified significant differences in patient symptom reporting based on whether symptoms like dry mouth, obstipation and sleep problems were specifically assessed or had to be added by patients as an "Other problem".

Neuropalliative care in a tertiary-level hospital

OBJECTIVES

Palliative care in neurology is a recent specialty to improve the quality of life of patients with severe neurological diseases. This study aims to determine the frequency of neurological inpatients who had indication of palliative care, and evaluate the symptomatology, demographic profile, the need for supportive measures, advance directives for life and medical history of patients in a tertiary hospital in Brazil.

METHODS

This cross-sectional analytical study evaluated all patients admitted to the neurological semi-intensive care unit (ICU) at Hospital Israelita Albert Einstein with neurological conditions from February through August 2022. The Palliative Performance Scale (weight loss greater than 5% associated with body changes and a negative response to the question: 'Would you be surprised if the patient died within 1 year?') was used to indicate palliative care. Patients were divided into three groups: patients with palliative care needs (groupindication), patients without palliative care needs (groupwithout indication) and patients who received at least one assessment of a palliative care team (grouppalliative). Demographic data were analysed using the Χ2 test for qualitative and Kruskal-Wallis test for quantitative variables.

RESULTS

Of the 198 patients included in the study, 115 (58%) had palliative care needs. Only 6.9% received assessment by the palliative care team, and 9.56% had advance directives in their medical records. Patients in groupindication had a higher prevalence of symptoms, such as fatigue, depression, shortness of breath and lack of appetite, and required more supportive measures, such as oxygen therapy, enteral/parenteral nutrition, admissions at ICU and days in hospital.

CONCLUSION

Despite the high demand for palliative care in neurology, few patients receive this treatment, resulting in decreased quality of care. Therefore, greater integration and discussion of palliative care in neurology are needed.

The Impact of Immunotherapy on Sleep and Circadian Rhythms in Patients with Cancer

Immunotherapy has revolutionized treatments for both early and advanced cancers, and as their role evolves, their impact on sleep and circadian rhythms continues to unfold. The recognition, evaluation, and treatment of sleep and circadian rhythm disturbance leads to improved symptom management, quality of life and treatment outcomes. An intricate complex relationship exists in the microenvironment with immunity, sleep and the tumor, and these may further vary based on the cancer, addition of standard chemotherapy, and pre-existing patient factors. Sleep and circadian rhythms may offer tools to better utilize immunotherapy in the care of cancer patients, leading to better treatment outcome, reduced symptom burden, and increased quality of life.

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.

Electroacupuncture for treating cancer-related insomnia: a multicenter, assessor-blinded, randomized controlled, pilot clinical trial

Background

Insomnia is one of the most frequent symptoms in people with cancer. Electroacupuncture has been widely used in people with cancer or insomnia. We explored the feasibility and preliminary effectiveness of electroacupuncture for cancer-related insomnia.

Methods

People with cancer and insomnia disorder were randomly allocated to electroacupuncture, sham-electroacupuncture, or usual care groups. Participants received either 10 sessions of electroacupuncture at real acupoints, sham-electroacupuncture at non-acupoints, or usual care in each group for 4 weeks. We calculated the recruitment, adherence, and completion rates of participants. The Insomnia Severity Index (ISI), Pittsburgh Sleep Quality Index (PSQI), sleep diary and actigraphy-derived sleep parameters, Functional Assessment of Cancer Therapy-Fatigue (FACT-F), Montreal Cognitive Assessment (MoCA), and salivary levels of cortisol and melatonin were evaluated as outcome measures.

Results

Twenty-two participants were enrolled (8, 6, and 8 respectively in the electroacupuncture, sham-electroacupuncture, and usual care groups) and 20 participants completed the trials (8, 4, and 8 respectively). The recruitment, adherence, and completion rates were 78.57% (22/28), 95.45% (21/22), and 90.91% (20/22), respectively. Most of the participants had previously received conventional treatment for insomnia, but few had received Korean medicine treatment, without any demographic or clinical differences between groups. In the electroacupuncture group, there was a statistically significant reduction of 10.13 (mean) ± 8.15 (standard deviation) and 5 ± 3.70 points in mean ISI and PSQI scores at 4 weeks post-treatment (P = .0098 and .0066), compared with sham-electroacupuncture (2.06 ± 7.15 and 1.61 ± 4.34; P = .4796 and .3632) and usual care (3.25 ± 2.60 and 1.38 ± 2.13; P = .0096 and .1112). Although there was no significant difference in ISI score between groups at 4 weeks post-treatment, the electroacupuncture group continued to improve significantly at 4 weeks’ follow-up, showing borderline and significant differences compared to the sham-electroacupuncture and usual care (P = .0614 and .0015). The FACT-F scores in electroacupuncture group showed a significant improvement compared with the sham-electroacupuncture group (P = .0305). No electroacupuncture-related adverse events were reported.

Conclusions

Electroacupuncture might be feasible for cancer-related insomnia, despite slow participant recruitment. Additional trials with adequately powered sample sizes and a substantial change to the recruitment procedure are needed.

Trial registration

Clinical Research Information Service, KCT0002162. Submitted 27 October 2016, Registered 2 December 2016 - Retrospectively registered (The first participant enrolment: 28 November 2016),

Supplementary Information

The online version contains supplementary material available at 10.1186/s12906-022-03561-w.

Sleep Quality and Associated Factors Among Adult Cancer Patients Under Treatment at Oncology Units in Amhara Region, Ethiopia

INTRODUCTION

Poor sleep quality, a common, under-diagnosed, and under-treated problem in cancer patients, has negative physical and psychological consequences, but its prevalence and associated factors are not well studied in Ethiopia. Thus, the present study aimed to assess the prevalence of sleep quality and its associated factors among adult cancer patients receiving treatment at oncology units in Amhara region, Ethiopia.

METHODS AND MATERIALS

An institution-based cross-sectional study was conducted among adult patients with cancer under treatment at the oncology units in the Amhara region from April 12 to May 12/2021. A systematic random sampling technique was used to select 423 samples. Data were collected using a structured Interviewer-administered questionnaire. Sleep quality and depression were assessed by the Pittsburgh Sleep Quality Index and depression subscale of Hospital Anxiety and Depression Scale, respectively. Bivariable and multivariable logistic regression analyses were computed, considering p < 0.25 to select candidate variables for multivariable analysis and p < 0.05 to be statistically significant in the final model.

RESULTS

A total of 410 cancer patients participated in this study. The mean of the participant's age was 44.2 (range: 20-77) years. More than half (52.7%) of participants received chemotherapy and the remaining were treated with a combination of treatments. Two-hundred ninety-three (71.5%) of participants had poor sleep quality and 28.5% had good sleep quality. The factors found to be significantly associated with poor sleep quality were advanced age [AOR = 1.037, 95% CI: (1.012-1.062)]; having depressive symptoms [AOR = 2.862, 95% CI: (1.133, 7.228)]; having distant metastasis cancer [AOR = 3.758, 95% CI: (1.585, 8.909)]; and increased severity of pain [AOR = 1.331, 95% CI: (1.106, 1.601)].

CONCLUSION

The study found a high prevalence of poor sleep quality among cancer patients. Early screening and management of sleep problems are crucial in patients with cancer.

Sleep disturbance in cancer patients referred to an ambulatory integrative oncology consultation

BACKGROUND

Sleep disturbance (SD) is highly prevalent in oncology and negatively affects quality of life and mortality. Evidence supports the use of integrative oncology (IO) practices to treat SD, but there is limited published data on the characteristics of SD and factors associated with SD in IO. We determined the prevalence, severity, and factors associated with SD among cancer patients seen in an ambulatory IO consultation.

METHODS

Patients with cancer referred for initial outpatient IO consultation in 2017 were eligible. Patient demographics, clinical characteristics, and patient-reported outcomes (Edmonton Symptom Assessment Scale (ESAS), Measure Yourself Concerns and Wellbeing (MYCaW), PROMIS-10) were retrospectively reviewed.

RESULTS

One thousand five hundred twenty patients were included in the analysis. The majority (70%) were women with breast cancer (42%). Nine hundred seventy-one (64%) patients reported significant SD with ESAS Sleep ≥ 4, yet only 11% expressed poor sleep as their primary or secondary concern for the IO consultation. The median SD (IQR) was 5 (3,7). ESAS scores for fatigue (adjusted OR 1.16; CI 1.07-1.26, p < 0.001), pain (adjusted OR 1.07; CI 1.00-1.15, p < 0.05), hot flashes (adjusted OR 1.14; CI 1.07-1.22, p < 0.001), well-being (adjusted OR 1.33; CI 1.22-1.46, p < 0.001), and psychological distress score (anxiety and depression) (adjusted OR 1.16; CI 1.01-1.11, p < 0.01) were independently associated with SD in multivariate analysis. Acupuncture was the most frequent intervention prescribed, 175 (35%). Other modalities included oncology massage (15%), health psychology (5%), and meditation (1%).

CONCLUSIONS

Although 64% of patients seeking IO consultation reported clinically significant SD, only 11% were seeking integrative approaches for managing SD. ESAS fatigue, hot flashes, well-being, and psychological symptoms were significantly associated with SD.

Sleep disturbance in patients with cancer: a feasibility study of multimodal therapy

BACKGROUND

Our aim was to determine feasibility and effect sizes of bright light therapy (BLT), melatonin (MLT), methylphenidate (MP) and eight combinations (BLT+MLT+MP, BLT+MLT, BLT+MP, BLT alone, MLT+MP, MLT alone, MP alone, placebo for BLT, MLT and MP) defined as multimodal therapy (MMT), to improve sleep quality (SQ) (Pittsburgh Sleep Quality Index (PSQI)) from baseline to day 15. We also examined the effects of MMT on insomnia, fatigue, depression, quality of life and actigraphy.

METHODS

Patients with advanced cancer with poor SQ (PSQI ≥5) were eligible. Using a double-blind randomised factorial study design, patients were randomised into 1 of the 8 arms for 2 weeks. Feasibility and effect sizes were assessed.

RESULTS

81% (54/67) of randomised patients completed the study. There were no differences in the demographics and SQ between groups. The adherence rates for BLT, MLT and MP were 93%, 100% and 100%, respectively. BLT+MLT+placebo of MP; BLT+placebo of MLT+placebo of MP; BLT+MLT+MP showed an effect size (Cohen's d) for change in PSQI scores of 0.64, 0.57 and 0.63, respectively. PSQI change using linear regression showed BLT (n=29) has effect size of 0.46, p=0.017; MLT (n=26), 0.24, p=0.20; MP (n=26), 0.06, p=0.46. No significant differences were observed in scores for insomnia, fatigue, depression, quality of life and actigraphy. There were no differences in adverse events by groups(p=0.80).

CONCLUSIONS

The use of MMT to treat SQ disturbance was feasible. BLT+MLT showed the most promising effect size in improvement in SQ, and additional larger studies are needed.

TRIAL REGISTRATION NUMBER

NCT01628029.

Factors Affecting Sleep Quality of Breast Cancer Patients with Chemotherapy

BACKGROUND: Poor sleep quality becomes the effect of chemotherapy in breast cancer patients. AIM: This study aimed to examine the factors that influence breast cancer patients’ sleep quality undergoing chemotherapy. METHODS: This research used an observational method with cross-sectional design. There were 26 breast cancer patients undergoing chemotherapy at Djojonegoro Regional Hospital in Temanggung, Central Java. The characteristics of the respondent are recorded, including the demographic characteristics, respondents’ sleep quality, and the physiological status data of the respondent. The researchers use the Pittsburgh Sleep Quality Index (PSQI) to measure sleep quality. Data were analyzed using Kendall’s Tau and Spearman’s rank correlation test and the Pearson Product-Moment Correlation test. RESULTS: The result showed that breast cancer patients’ sleep quality is classified as poor with PSQI score of 10.96 ± 3.13. The average age of the respondent was 50.08 ± 7.31 years. The major characteristic of the respondent were 80.77% had married, 42.30% had elementary education, 61.54% did not work, and 61.54% had Rp 0, - income. Based on breast cancer patients undergoing chemotherapy, the respondents lived in rice field environment (42.30%), diagnosed with breast cancer <1 year (69.23%), had <1 year chemotherapy (96.15%), had under mastectomy on the left breast (80.76%), and underwent chemotherapy as much as 7.23 ± 4.80 times. Based on sleep quality, the respondents lived with nuclear family (61.54%), had no comorbidities (76.92%), did not consume other drugs (100%), did not consume sleeping pills (80.76%), and used lights during sleep (65.38%). There is a correlation between sleep quality and age and with whom the respondent lives in the same house. CONCLUSION: It was concluded that breast cancer patients undergoing chemotherapy had poor sleep quality, and the factors related to sleep quality were age and with whom the respondent lived in the same house.

The short-term impact of methylprednisolone on patient-reported sleep in patients with advanced cancer in a randomized, placebo-controlled, double-blind trial

Purpose

Although corticosteroids are frequently used in patients with advanced cancer, few studies have examined the impact of these drugs on patient-reported sleep. We aimed to examine the short-term impact of methylprednisolone on patient-reported sleep in patients with advanced cancer.

Methods

Patient-reported sleep was a predefined secondary outcome in a prospective, randomized, placebo-controlled, double-blind trial that evaluated the analgesic efficacy of corticosteroids in advanced cancer patients (18+), using opioids, and having pain ≥ 4 past 24 h (NRS 0–10). Patients were randomized to the methylprednisolone group with methylprednisolone 16 mg × 2/day or placebo for 7 days. The EORTC QLQ-C30 (0–100) and the Pittsburgh Sleep Quality Index questionnaire (PSQI) (0–21) were used to assess the impact of corticosteroids on sleep at baseline and at day 7.

Results

Fifty patients were randomized of which 25 were analyzed in the intervention group and 22 in the control group. Mean age was 64 years, mean Karnofsky performance status was 67 (SD 13.3), 51% were female, and the mean oral daily morphine equivalent dose was 223 mg (SD 222.77). Mean QLQ-C30 sleep score at baseline was 29.0 (SD 36.7) in the methylprednisolone group and 24.2 (SD 27.6) in the placebo group. At day 7, there was no difference between the groups on QLQ-C30 sleep score (methylprednisolone 20.3 (SD 32.9); placebo 28.8 (SD 33.0), p = 0.173). PSQI showed similar results.

Conclusions

Methylprednisolone 16 mg twice daily for 7 days had no impact on patient-reported sleep in this cohort of patients with advanced cancer.

Trial registration

Clinical trial information NCT00676936 (13.05.2008)

Sleep problems in advanced disease

Sleep problems are relatively common in patients with advanced disease, and are associated with significant morbidity in these groups of patients. The focus of this article is sleep problems in patients with advanced cancer, and specifically insomnia, 'vivid' dreams and nightmares. However, other sleep problems are also relatively common in this group of patients, including sleep-related breathing disorders and circadian rhythm sleep-wake disorders. Healthcare professionals should screen all patients with advanced diseases for sleep problems and, equally, initiate appropriate (evidence-based) interventions when they are discovered.

Personalized goal for insomnia and clinical response in advanced cancer patients

AIM

The aim of this study was to assess the Personalized Insomnia Intensity Goal (PIIG), the achievement of Personalized Goal Response (PGR), and Patient Global Impression (PGI) after a comprehensive symptom management.

PATIENTS AND METHODS

Advanced cancer patients admitted to palliative care units rated pain and symptoms intensity and their PIIG by using the Edmonton Symptom Assessment Score (ESAS) (T0). In patients with significant levels of insomnia, the achievement of target expected (PIIG) was measured (patient goal response, PIGR), as well the patient global impression (PGI), by the minimal clinically important difference (MCID), after a comprehensive symptom management (T7).

RESULTS

Three hundred ninety-seven patients with a level of insomnia of ≥ 3 on ESAS were analyzed in this study. The mean values of PIIG at T0 and T7 were 1.2 (SD 1.5) and 0.9 (SD 1.4), respectively. Most patients (n = 406, 89.8%) indicated a PIIG of ≤ 3 as a target at T0. Such target was significantly lower at T7 (p = < 0.0005). PGI, expressed as MCID, was perceived with a mean decrease in insomnia intensity of - 2.3. In a minority of patients (n = 26; 5.8%) insomnia worsened, with a MCID of 0.50 (SD 2.8). Higher insomnia intensity at T0 and lower insomnia intensity at T7 were independently related to PGI. PIGR was achieved in 87.9% of patients. PIGR was associated with PIIG at T0, and inversely associated to insomnia intensity at T0 and T7, and PIIG at T7.

CONCLUSION

PGIR and PGI seem to be relevant for evaluating the effects of a comprehensive management of insomnia, suggesting therapeutic decisions according to PIIG. Some factors influencing the individual target and clinical response have been detected.

Sleep quality with WHO Step III opioid use for cancer pain

OBJECTIVE

Sleep is often disturbed in patients with advanced cancer. There is limited knowledge about sleep in patients with cancer treated with strong opioids. This study examines sleep quality in patients with advanced cancer who are treated with a WHO Step III opioid for pain.

METHODS

An international, multicentre, cross-sectional study with 604 adult patients with cancer pain using WHO Step III opioids. Sleep quality was assessed by the Pittsburgh Sleep Quality Index (PSQI) global score (range; 0-21; score >5 indicates poor sleep). PSQI includes sleep quality, sleep latency, sleep duration, sleep efficiency, sleep disturbances, use of sleep medications and daytime dysfunction. Pain and quality of life were assessed by Brief Pain Inventory and European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire Core30.

RESULTS

The median age was 62 years, 42% were female, mean Karnofsky performance score (KPS) was 62.5 (±14.2) and mean oral daily morphine equivalent dose was 303 mg/24 hours (±543.8 mg). The mean PSQI global score was 8.8 (±4.2) (range 0-20). Seventy-eight per cent were poor sleepers. All PSQI components were affected, and 44% reported trouble sleeping caused by pain. In the multiple regression model, predictors of PSQI global scores were pain intensity, emotional function, constipation, financial difficulties and KPS (adjusted R²=0.21).

CONCLUSION

The majority (78%) of these patients with cancer treated with Step III opioids experienced poor sleep quality. Pain intensity, emotional function, constipation, financial difficulties and KPS predicted poor PSQI global scores. The clinical implication is that healthcare personnel should routinely assess and treat sleep disturbance in patients with advanced cancer disease.

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.

Impact of a patient-tailored complementary/integrative medicine programme on disturbed sleep quality among patients undergoing chemotherapy

OBJECTIVES

The present study examined the impact of a patient-tailored complementary/integrative medicine (CIM) programme on sleep quality in patients undergoing chemotherapy for breast and gynaecological cancer.

METHODS

Study participants received standard supportive care, with or without weekly CIM treatments. Disturbed sleep quality was defined as a score of ≥4 on the Edmonton Symptom Assessment Scale (ESAS) or a score of ≥3 on the European Organization for Research and Treatment of Cancer Quality of Life Questionnaire (EORTC QLQ-C30). Adherence to integrative care was defined as attending ≥4 CIM treatments, with ≤30 days between each session.

RESULTS

Of 388 eligible patients, 264 (68%) reported disturbed sleep quality. Baseline-to-follow up assessment (at 6 weeks) was optimal for 104 patients in the treatment group and for 76 controls, with 75 of treated patients found to be adherent to the CIM intervention. Sleep-related ESAS scores improved more significantly in treated patients (p=0.008), as did sleep-related concerns on EORTC (treatment group, p=0.026).

CONCLUSIONS

A patient-tailored CIM programme may improve sleep quality and related concerns among patients with breast and gynaecological cancer undergoing chemotherapy. Further research is needed to better understand the impact of CIM on sleep quality in this patient population.

TRIAL REGISTRATION NUMBER

NCT01860365.