Sleep During Pelvic-Abdominal Radiotherapy for Cancer: A Longitudinal Study With Special Attention to Sleep in Relation to Nausea and Quality of Life

Subgroups of sleep quality and associated risk factors in patients with cancer undergoing radiotherapy: A cross-sectional study based on latent profile analysis

PURPOSE

To identify latent classes of sleep quality among patients with cancer undergoing radiotherapy, and to examine the predictors of different latent classes.

METHODS

This cross-sectional study included 238 cancer patients. The assessment instrument included the Pittsburgh Sleep Quality Index, the sleep hygiene awareness and practice scale, the MD Anderson Symptom Inventory, the Distress Thermometer and the Fear of Cancer Recurrence Questionnaire. Latent profile analysis was used to identify different sleep quality subgroups.

RESULTS

Three latent classes with distinct sleep characteristics were identified: good sleep quality (class 1, 66.8%), moderate sleep disturbance with high hypnotics use (class 2, 9.2%), and high sleep disturbance with low hypnotics use (class 3, 24.0%) classes. Patients who were young (P = 0.022) and diagnosed with cancer stage Ⅲ (P = 0.021) were significantly more likely to be in Class 3 than in Class 1. Patients with a senior middle school were less likely to fall into Class 2, but more likely to fall into Class 1 (P = 0.026). Those with higher sleep hygiene practice scores (P = 0.022; P < 0.001), symptom severity (P < 0.001; P < 0.001), and psychological distress (P = 0.040; P < 0.001) had a significantly higher probability of being classified in Class 2 or Class 3 than in Class 1.

CONCLUSIONS

Our study revealed the heterogeneity of sleep quality in patients with cancer undergoing radiotherapy; moreover, through our findings, targeted interventions may be developed to promote the sleep quality of these patients.

Associations between perioperative sleep patterns and clinical outcomes in patients with intracranial tumors: a correlation study

Objective

Although the quality of perioperative sleep is gaining increasing attention in clinical recovery, its impact role remains unknown and may deserve further exploration. This study aimed to investigate the associations between perioperative sleep patterns and clinical outcomes among patients with intracranial tumors.

Methods

A correlation study was conducted in patients with intracranial tumors. Perioperative sleep patterns were assessed using a dedicated sleep monitor for 6 consecutive days. Clinical outcomes were gained through medical records and follow-up. Spearman's correlation coefficient and multiple linear regression analysis were applied to evaluate the associations between perioperative sleep patterns and clinical outcomes.

Results

Of 110 patients, 48 (43.6%) were men, with a median age of 57 years. A total of 618 days of data on perioperative sleep patterns were collected and analyzed. Multiple linear regression models revealed that the preoperative blood glucose was positively related to the preoperative frequency of awakenings (β = 0.125; 95% CI = 0.029-0.221; P = 0.011). The level of post-operative nausea and vomiting was negatively related to perioperative deep sleep time (β = -0.015; 95% CI = -0.027--0.003; P = 0.015). The level of anxiety and depression was negatively related to perioperative deep sleep time, respectively (β = -0.048; 95% CI = -0.089-0.008; P = 0.020, β = -0.041; 95% CI = -0.076-0.006; P = 0.021). The comprehensive complication index was positively related to the perioperative frequency of awakenings (β = 3.075; 95% CI = 1.080-5.070; P = 0.003). The post-operative length of stay was negatively related to perioperative deep sleep time (β = -0.067; 95% CI = -0.113-0.021; P = 0.005). The Pittsburgh Sleep Quality Index was positively related to perioperative sleep onset latency (β = 0.097; 95% CI = 0.044-0.150; P < 0.001) and negatively related to perioperative deep sleep time (β = -0.079; 95% CI = -0.122-0.035; P < 0.001).

Conclusion

Perioperative sleep patterns are associated with different clinical outcomes. Poor perioperative sleep quality, especially reduced deep sleep time, has a negative impact on clinical outcomes. Clinicians should, therefore, pay more attention to sleep quality and improve it during the perioperative period.

Clinical trial registration

http://www.chictr.org.cn, identifier: ChiCTR2200059425.

Changes in Patient-Reported Health Status in Advanced Cancer Patients from a Symptom Management Clinic: A Longitudinal Study Conducted in China

Objectives. The integration of patient-reported health status has been increasingly emphasised for delivering high-quality care to advanced cancer patients. This research is designed to track health status changes over time in Chinese advanced cancer patients to explore the risk factors affecting their health status. Methods. Advanced cancer patients were recruited from Peking University Cancer Hospital. An electronic patient-reported outcome (ePRO) system with validated measurements was used to collect the data. ANOVA, the chi-square test, the nonparametric Kruskal–Wallis H test, and generalized estimating equation (GEE) analysis were used for the data analysis. Results. One hundred and three patients completed a baseline survey (T = 0) and two follow-up surveys (T1 = 14 days, T2 = 28 days). Chi-square test results indicate a significant decrease in the percentage of patients reporting moderate or severe difficulty experienced by patients in terms of mobility, pain/discomfort, and anxiety/depression. However, there is a significant increase in the percentage of patients reporting moderate or severe difficulty in self-care and usual activities. Scores on the visual analogue scale in the EQ-5D-5L instrument (EQ-VAS) are associated with patients’ income, and the degree of moderate or severe anxiety/depression is found to be associated with employment status. The GEE results show that pain, loss of appetite, poor walking status effected by symptoms, depression, and anxiety has worsened the health status. Conclusions. The health status of Chinese advanced cancer patients under ePRO follow-up in China significantly improves in the physical and psychological dimensions, accompanied by a decrease in usual activities and self-care. Routine screening and rational supportive care are recommended in oncology for cancer care. Based on the rational application of ePRO, longitudinal studies exploring the potential mechanisms of health status changing would provide more beneficial guidance for improving the quality of life in patients with advanced cancer.

Sleep and gynecological cancer outcomes: opportunities to improve quality of life and survival

Sleep is important for immune function, metabolic function and physical repair. Sleep is more commonly disrupted in women compared with men and is disrupted by surgery, chemotherapy, and cancer itself, making gynecological oncology patients at higher risk of insomnia and sleep disruption. Insomnia and sleep disruption are linked to increased pain, poorer quality of life, depression, and anxiety which can all negatively affect patient outcomes. A number of environmental, behavioral, and pharmacological interventions have been investigated to improve patient sleep and aid in the recovery process. It is vital to understand and address patient sleep quality in order to give patients the highest quality care and improve outcomes.