Sleep disturbance, negative affect and health-related quality of life in patients with maintenance hemodialysis

The Mediating Effect of Symptom Burden in the Depression and Quality of Life in Patients with Maintenance Hemodialysis

Objective

To investigate current status of quality of life and the association between depression and symptom burden in a sample of Chinese maintenance hemodialysis (MHD) patients.

Methods

A self-designed patient general information questionnaire, disease-related information questionnaire, dialysis patient symptom burden scale, depression scale, and quality of survival scale were used to investigate 380 maintenance haemodialysis patients in haemodialysis centres. A regression model of the factors affecting the quality of survival was established using structural equation modelling.

Results

The regression model data had a high goodness of fit: c2/df = 4.736, RMSEA = 0.099, GFI = 0.918, CFI = 0.972, TLI = 0.962, SRMR = 0.0469. Structural equation model analysis showed that depression had a positive predictive effect on symptom burden, β = 0.398, P < 0.001; Symptom burden had a negative predictive effect on the quality of life, β =-0.851, P < 0.001; and Depression had a negative predictive effect on the quality of life, β =-0.151, P < 0.001. Depression indirectly affects the quality of life through symptom burdens.

Conclusion

Depression and symptom burden directly or indirectly affect the quality of life in patients with maintenance hemodialysis. Symptom burden moderates the relationship between depression and quality of life as a mediating variable.

The impact of photobiomodulation on sleep and life quality in hemodialysis patients: A randomized controlled trial

The quality of life (QoL) and sleep quality are closely linked to the physical and psychological health of end-stage renal disease (ESRD) patients, especially those underwent hemodialysis (HD) therapy. This study aims to investigate the impact of 830 nm laser treatment on improving QoL and sleep quality in HD patients. Forty ESRD patients participated in this study. 830 nm laser was used to radiate on the palm (at dose of 256.10 J/cm2), ST 36 and KI 1 acupoints (at dose of 109.76 J/cm2) of HD patients, and QoL and sleep quality questionnaires were utilized to assess changes following the treatment. After 830 nm laser radiation, lower global Pittsburgh Sleep Quality Index and Athens Insomnia Scale scores were observed, accompanied by higher physical and mental component summary scores in MOS 36-item short-form health survey version 2 and a global World Health Organization Quality of Life Brief Version score. The laser group also showed significant improvements in QoL and sleep quality indicators. Additionally, pain levels decreased on the third day and after one month according to visual analogue scale. This study revealed the positive effects of 830 nm laser on palm, KI 1 and ST 36 acupoints for improving the QoL and sleep quality in ESRD patients underwent HD treatment. The results suggest that 830 nm laser applied to specific targets could be used as a complementary and alternative approach to increase the QoL and sleep quality in ESRD patients.

Quality of life and its association with predictors in lung transplant recipients: a latent profile analysis

Backgrounds

Improving quality of life (QOL) is one of the main aims of lung transplantation (LTx). There is a need to identify those who have poor quality of life early. However, research addressing inter individual quality of life variability among them is lacking. This study aims to identify group patterns in quality of life among lung transplant recipients and examine the predictors associated with quality of life subgroups.

Methods

In total, 173 lung transplant recipients were recruited from one hospital in Guangdong Province between September 2022 and August 2023. They were assessed using the Lung Transplant Quality of Life scale (LT-QOL), Mindful Attention Awareness Scale (MAAS), Life Orientation Test-Revised scale (LOT-R), and Positive and Negative Affect Scale (PANAS). Latent profile analysis was used to identify QOL subtypes, and logistic regression analysis was used to examine the associations between latent profiles and sociodemographic and psychosocial characteristics.

Results

Two distinct QOL profiles were identified: "low HRQOL" profile [N = 53 (30.94%)] and "high HRQOL" profile [N = 120 (69.06%)]. Single lung transplant recipients, and patients who reported post-transplant infection, high levels of negative emotion or low levels of mindfulness and optimism were significantly correlated with the low QOL subgroup.

Conclusion

Using the domains of the LT-QOL scale, two profiles were identified among the lung transplant recipients. Our findings highlighted that targeted intervention should be developed based on the characteristics of each latent class, and timely attention must be paid to patients who have undergone single lung transplantation, have had a hospital readmission due to infection, exhibit low levels of optimism, low levels of mindfulness or high negative emotions.

The impact of COVID-19 pandemic on healthcare workers under the "Ten New Guidelines" in Taizhou, China

Purpose

We explored the influence of the "Ten new guidelines" on healthcare workers' preparedness, work impact, personal life impact, concerns, and support in Taizhou, China.

Methods

A hospital-based self-administered online survey was conducted to investigate the levels of COVID-19 related experience among healthcare workers in December 2022. In total, 472 out of 2080 healthcare workers (22.7 % response rate) completed the questionnaires with valid responses. Stepwise linear regression was used to investigate the independence of factors associated with preparedness, work impact, personal life impact, concerns, and support.

Results

The results revealed that working position (p < 0.001), pressure (p = 0.005), and negative affect (p < 0.001) were significantly associated with preparedness. Working position (p = 0.015), number of children (p = 0.040), working years (p = 0.019), COVID-19 risk perception (p < 0.001), work overload (p < 0.001), and negative affect (p < 0.001) were significantly associated with work impact. In addition, COVID-19 risk perception (p < 0.001), work overload (p < 0.001), pressure (p = 0.002), history of COVID-19 infection (p = 0.008), and awareness of possible infectious time (p = 0.031) were significantly associated with personal life impact. COVID-19 risk perception (p < 0.001), negative affect (p < 0.001), and work overload (p = 0.020) were significantly associated with concerns. Sex (p = 0.020) and negative affect (p = 0.016) were significantly associated with support.

Conclusion

Negative affect was the most significant factor associated with COVID-19 related questions among healthcare workers under "Ten new guidelines" during COVID-19 pandemic.

Exploration of symptom clusters during hemodialysis and symptom network analysis of older maintenance hemodialysis patients: a cross-sectional study

BACKGROUND

Symptom networks can provide empirical evidence for the development of personalized and precise symptom management strategies. However, few studies have established networks of symptoms experienced by older patients on maintenance hemodialysis. Our goal was to examine the type of symptom clusters of older maintenance hemodialysis patients during dialysis and construct a symptom network to understand the symptom characteristics of this population.

METHODS

The modified Dialysis Symptom Index was used for a cross-sectional survey. Network analysis was used to analyze the symptom network and node characteristics, and factor analysis was used to examine symptom clusters.

RESULTS

A total of 167 participants were included in this study. The participants included 111 men and 56 women with a mean age of 70.05 ± 7.40. The symptom burdens with the highest scores were dry skin, dry mouth, itching, and trouble staying asleep. Five symptom clusters were obtained from exploratory factor analysis, of which the clusters with the most severe symptom burdens were the gastrointestinal discomfort symptom cluster, sleep disorder symptom cluster, skin discomfort symptom cluster, and mood symptom cluster. Based on centrality markers, it could be seen that feeling nervous and trouble staying asleep had the highest strength, and feeling nervous and feeling irritable had the highest closeness and betweenness.

CONCLUSIONS

Hemodialysis patients have a severe symptom burden and multiple symptom clusters. Dry skin, itching, and dry mouth are sentinel symptoms in the network model; feeling nervous and trouble staying asleep are core symptoms of patients; feeling nervous and feeling irritable are bridge symptoms in this symptom network model. Clinical staff can formulate precise and efficient symptom management protocols for patients by using the synergistic effects of symptoms in the symptom clusters based on sentinel symptoms, core symptoms, and bridge symptoms.

Depression and anxiety symptoms among patients receiving maintenance hemodialysis: a single center cross-sectional study

BACKGROUND

To investigate depression and anxiety and related factors among patients receiving maintenance hemodialysis (MHD).

METHODS

This cross-sectional study included patients underwent MHD in 3/2022 at Jinshan Hospital affiliated to Fudan University. Depression and anxiety levels of patients were assessed using Beck Depression Inventory (BDI) and Beck Anxiety Inventory (BAI), respectively. SF-36 was used to assess patients' quality of life. Multiple linear regression analysis was used to determine the variables associated with the scores of BDI/BAI.

RESULTS

A total of 103 patients were included, 71 cases (68.93%) and 38 cases (36.89%) with depression and anxiety, respectively. The scores of almost all domains of the SF-36 showed a declining trend with increasing depression or anxiety among patients on MHD. Higher Charlson Comorbidity Index (CCI) (β =0.066, 95%CI: 0.016-0.116, P = 0.010), lower educational status (β = - 0.139, 95%CI: - 0.243- -0.036, P = 0.009), and number of oral medications (β =0.177, 95%CI: 0.031-0.324, P = 0.018) were significantly associated with higher BDI scores. Longer dialysis duration (β =0.098, 95%CI: 0.003-0.193, P = 0.044) and number of oral medications (β =4.714, 95%CI: 1.837-7.590, P = 0.002) were significantly associated with higher BAI scores.

CONCLUSIONS

Depression and anxiety may be likely to occur among patients undergoing MHD and impact their quality of life. Higher CCI, lower educational status and usage of multiple oral medications may be associated with depression, whereas longer dialysis duration and multiple oral medications may be associated with anxiety in MHD patients.

Exploring the Association Between Resilience and Quality of Life Among Glaucoma Patients: Sleep Disturbance as a Mediating Factor

BACKGROUND

Patients with glaucoma may experience many symptoms such as blindness, which seriously affect their quality of life (QoL). Resilience is playing a vital role in enhancing the QoL and well-being of patients with chronic diseases. In addition, sleep disturbance is common in patients with glaucoma, leading to a decline in their QoL. However, there is a dearth of research on whether sleep disturbance plays a mediating role between resilience and QoL among glaucoma patients.

OBJECTIVE

The aim of this study is to explore the role of sleep disturbance in the relationship between resilience and QoL among glaucoma patients.

METHODS

From July to December 2019, a cross-sectional survey was conducted on 215 glaucoma patients in an ophthalmic hospital in Liaoning Province. Hierarchical multiple regression (HMR) analyses and structural equation modeling (SEM) were conducted to examine the factors related to QoL and to test the hypothesis that sleep disturbance mediates the relationship between resilience and QoL among glaucoma patients.

RESULTS

The average QoL score among glaucoma patients was 43.85 ± 14.97 as reported by the Glaucoma Quality of Life-15 (GQL-15) scale, where a higher scores indicating a poorer QoL. Resilience was found to be linked with a lower QoL score (P < 0.01), while sleep disturbance was associated with a higher QoL score (P < 0.01). When sleep disturbance was included in the model as partial mediator, the path coefficients for the association between resilience and QoL score was significantly decreased (a*b = -0.1, BCa95% CI: -0.154∼-0.045).

CONCLUSION

Findings of this study reflected that QoL among glaucoma patients in China was poor. Resilience was found to be an important positive factor, which could result in the improvement of QoL. Furthermore, sleep disturbance mediated the relationship between resilience and QoL among patients with glaucoma, thereby reducing the positive impact of resilience on QoL in glaucoma patients. Efforts to improve QoL among glaucoma patients may benefit from interventions that enhance the levels of resilience and promote healthy sleep.

Risk factors and prediction model of sleep disturbance in patients with maintenance hemodialysis: A single center study

Objectives

This study aimed to explore the risk factors and develop a prediction model of sleep disturbance in maintenance hemodialysis (MHD) patients.

Methods

In this study, 193 MHD patients were enrolled and sleep quality was assessed by Pittsburgh Sleep Quality Index. Binary logistic regression analysis was used to explore the risk factors for sleep disturbance in MHD patients, including demographic, clinical and laboratory parameters, and that a prediction model was developed on the basis of risk factors by two-way stepwise regression. The final prediction model is displayed by nomogram and verified internally by bootstrap resampling procedure.

Results

The prevalence of sleep disturbance and severe sleep disturbance in MHD patients was 63.73 and 26.42%, respectively. Independent risk factors for sleep disturbance in MHD patients included higher 0.1^*age (OR = 1.476, 95% CI: 1.103–1.975, P = 0.009), lower albumin (OR = 0.863, 95% CI: 0.771–0.965, P = 0.010), and lower 10^*calcium levels (OR = 0.747, 95% CI: 0.615–0.907, P = 0.003). In addition, higher 0.1^*age, lower albumin levels, and anxiety were independently associated with severe sleep disturbance in MHD patients. A risk prediction model of sleep disturbance in MHD patients showed that the concordance index after calibration is 0.736, and the calibration curve is approximately distributed along the reference line.

Conclusions

Older age, lower albumin and calcium levels are higher risk factors of sleep disturbance in MHD, and the prediction model for the assessment of sleep disturbance in MHD patients has excellent discrimination and calibration.

Alexithymia, Phosphorus Levels, and Sleep Disorders in Patients on Hemodialysis

Alexithymia, or the inability to distinguish between bodily feelings and emotions, has been linked to poor sleep quality in some studies. Rare studies examined the associations between electrolyte phosphorus in patients on hemodialysis and their sleep quality, daytime sleepiness, and alexithymia with inflammatory factors. Hemodialysis is a treatment method for terminal renal patients that involves the diffusion of unwanted metabolic products through the dialyzer membrane. Our study aimed to examine whether there was a difference in phosphorus levels, inflammatory factors, and daytime sleepiness according to the hemodialysis patients’ levels of alexithymia. The study involved 170 HD patients that had been treated with chronic dialysis for more than three months. Prior to the hemodialysis procedure, laboratory findings were sampled. Respondents completed the Pittsburgh Sleep Quality Index, the Toronto Alexithymia Scale 26, and the Epworth Sleepiness Scale, and were questioned about depression. The results showed that alexithymic HD patients exhibited significantly higher leukocyte counts, lower predialysis phosphorus values, and more pronounced daily sleepiness than the alexithymia-free group (Mann−Whitney U test, p = 0.02, p = 0.005, and p < 0.001, respectively). We concluded that alexithymia was an independent predictor of high daytime sleepiness in HD patients (OR = 1.05, 95% CI 1.02 to 1.09).

Sleep Problems of Children with Autism May Independently Affect Parental Quality of Life

The current study explored how and to what extent sleep problems in children with autism spectrum disorder (ASD) impacted their parents' quality of life (QOL). A total of 440 ASD children and 344 age-matched typically developing (TD) children were included in the case-control designed study. In the TD group, a linear regression model showed that the Children's Sleep Habits Questionnaire (CSHQ) total scores were negatively associated with maternal mental health summary (MCS) scores in the SF-36v2 (β = - 2.831), while in the ASD group, the CSHQ total scores were negatively associated with the parental physical health summary (PCS) scores (β = - 3.030 for mothers, β = - 3.651 for fathers). Path analysis showed that sleep problems in ASD children had both direct and indirect effects on maternal PCS scores. The results indicated that sleep problems in children with ASD might affect parental QOL differently from TD children, and act as independent impact factors on parental physical health.

Evaluation of the construct reliability and validity of the DSM-5 Self-Rated Level 1 Cross-Cutting Symptom Measure-Chinese version in maintenance hemodialysis patients

Objective

The study aim was to assess the construct reliability and validity of the internal structure of the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition Self-Rated Level 1 Cross-Cutting Symptom Measure (CCSM)-Chinese version in maintenance hemodialysis (MHD) patients, and to clarify whether the CCSM is suitable for patients with psychological issues.

Methods

Participants were 190 MHD patients. Structural equation modelling was used to establish a measurement model to confirm the reliability and validity of the internal structure of the CCSM-Chinese version, and to compare it with the Chinese version of the Symptom Checklist-90 (SCL-90).

Results

Of the 13 CCSM domains, 8 showed stability and validity in the initial screening of psychological symptoms. Although the Chinese version of the SCL-90 is widely used, the measurement model of the 8-domain CCSM was a better fit than the SCL-90 (CCSM: chi-square = 35.668, chi-square/degrees of freedom [CMIN/df] = 1.877; root mean square error of approximation [RMSEA]  = 0.061; adjusted goodness of fit index [AGFI] = 0.931 vs. SCL-90: chi-square = 89.159, CMIN/df = 2.972; RMSEA = 0.084; AGFI = 0.879).

Conclusion

The Chinese version of the CCSM is a useful rapid screening tool to detect psychological symptom risk in MHD patients.

Fatigue, anxiety, depression and sleep quality in patients undergoing haemodialysis

OBJECTIVE

Patients undergoing haemodialysis may experience troubling symptoms such as fatigue, anxiety, depression and sleep quality, which may affect their quality of life. The main objective of this study is to determine the prevalence of fatigue, anxiety, depression and sleep quality among patients receiving haemodialysis during the coronavirus disease 2019 (COVID-19) pandemic, and to explore the contributing predictors.

METHODS

A cross-sectional and descriptive correlational design using Qualtrics software was performed. Data were collected using the Functional Assessment of Cancer Therapy-Fatigue (FACT-F), the Hospital Anxiety and Depression Scale (HADS) and the Pittsburgh Sleep Quality Index (PSQI). Logistic regression analyses were used to explore the predictors that were associated with fatigue, anxiety, depression and sleep quality.

RESULTS

Of the 123 patients undergoing haemodialysis who participated, 53.7% (n = 66) reported fatigue, 43.9% (n = 54) reported anxiety, 33.3% (n = 41) reported depression and 56.9% (n = 70) reported poor sleep. Fatigue, anxiety and sleep quality (P < .05) were significantly associated with being female, and whether family members or relatives were suspected or confirmed with COVID-19. Logistic regression showed that being within the age group 31-40, having a secondary education level, anxiety, depression and sleep quality were the main predictors affecting the fatigue group.

CONCLUSION

Fatigue, anxiety, depression and sleep quality are significant problems for patients receiving haemodialysis during the COVID-19 pandemic. Appropriate interventions to monitor and reduce fatigue, psychological problems and sleep quality amongst these patients are needed. This can help to strengthen preparations for responding to possible future outbreaks or pandemics of infectious diseases for patients receiving haemodialysis.

Levels of trace blood elements associated with severe sleep disturbance in maintenance hemodialysis patients

PURPOSE

Sleep disturbance is frequently observed in patients on maintenance hemodialysis (MHD), and this population usually presents imbalances in trace elements. We investigated the association between blood trace element levels and sleep quality in patients on MHD.

METHODS

This cross-sectional and single-center study was performed in September 2019. Patients regularly undergoing hemodialysis for > 3 months at our center were recruited, and demographic, clinical, and laboratory parameters were recorded. The Pittsburgh Sleep Quality Index (PSQI) was applied to define sleep disturbance. Blood trace element (zinc, manganese, copper, selenium, and lead) levels were measured using an inductively coupled plasma mass spectrometer.

RESULTS

In total, 121 patients on MHD (male/female = 68:53) were enrolled in the study (mean age 63.7 ± 13.9 years, median dialysis vintage 38.0 [20.0, 60.0] months). According to PSQI, 56 (46%) patients experienced severe sleep disturbance. These patients were characterized by older age, higher serum parathyroid hormone levels, and lower blood selenium levels (all P < 0.05). No significant differences in blood zinc, manganese, copper, and lead levels were observed between groups. Univariate binary logistic regression showed that lower blood selenium levels were associated with severe sleep disturbance (odds ratio = 0.976, 95% confidence interval: 0.954-0.999, P = 0.038). Multivariate analyses also confirmed the results after adjusting for confounding factors.

CONCLUSION

Our study indicated an association between lower blood selenium levels and the occurrence of severe sleep disturbances in patients on MHD. However, a prospective study with a larger sample size and assessing the importance of selenium supplementation are needed to confirm the results.

The effects of depression and age on sleep disturbances in patients with non-dialysis stage 3-5 chronic kidney disease: a single-center study

PURPOSE

Sleep disturbances have a negative impact on the prognosis of chronic kidney disease (CKD). However, information on the prevalence and predictors is limited. This study aimed to evaluate the prevalence and explore clinical factors affecting the quality of sleep in patients with non-dialysis CKD.

METHODS

Participants included 152 adult non-dialysis patients with stage 3-5 CKD. Demographic and clinical data were collected. Sleep quality and depression were assessed using the Pittsburgh Sleep Quality Index (PSQI) and Beck Depression Inventory (BDI), respectively. Sleep disturbances were defined as a PSQI score ≥ 5. Logistic regression was conducted to explore the independent factors of sleep disturbances. Clinical parameters were correlated with BDI scores using linear regression models.

RESULTS

The total prevalence of patients with sleep disturbances was 66.4%. Older age, higher BDI scores, lower estimated glomerular filtration rate (eGFR) changes per month (△eGFR/m) before the study, and lower serum magnesium levels were found in patients with sleep disturbances. BDI scores (odds ratio [OR] 1.224, 95% confidence interval [CI] 1.091-1.373, p = 0.001) and age (OR 1.041, 95% CI 1.013-1.069, p = 0.003) were independent predictors of sleep disturbances. Serum uric acid levels (β - 0.629, 95% CI - 1.244 to - 0.013, p = 0.046), △eGFR/m before the study (β - 0.454, 95% CI - 0.885 to - 0.024, p = 0.039), and daily protein intake (β - 0.052, 95% CI - 0.102 to - 0.002, p = 0.043) were negatively associated with BDI scores.

CONCLUSION

A high overall prevalence of sleep disturbances was found in patients with non-dialysis stage 3-5 CKD. Depression, as a manageable predictor, should be managed, especially in elderly patients.

Subjective Sleep Quality and Excessive Daytime Sleepiness in Hemodialysis Patients Waitlisted for Renal Transplant

OBJECTIVE

Sleep disturbances are common in hemodialysis (HD) patients, impeding their daily activities and reducing their overall quality of life. The aim of this study was to investigate sleep quality and excessive daytime sleepiness (EDS) in HD patients waitlisted for renal transplant.

METHODS

The study included 137 patients (84 men and 53 women) undergoing HD three times per week; the mean age was 49.74±12.49 years. I used the Pittsburgh Sleep Quality Index (PSQI) to identify poor sleepers and the Epworth Sleepiness Scale (ESS) to identify those with EDS.

RESULTS

PSQI scores classified 87 of the 137 patients (63.5%) as poor sleepers, and ESS scores indicated that 47 patients (34.3%) had EDS. Among the 87 poor sleepers, 46% presented with EDS. Among the patients with EDS, 85% were also poor sleepers. Multivariate analysis revealed a positive correlation between the PSQI and ESS scores (P=0.002).

CONCLUSIONS

Poor sleep quality and EDS are quite common among patients receiving HD, but these sleep disturbances often go undiagnosed or untreated. Better awareness and treatment of SDs could improve quality of life for HD patients waitlisted for renal transplant.