Correlation of sociodemographic profiles with psychological problems among hospitalized patients receiving unplanned hemodialysis

Effect of mental state on sleep quality in patients receiving maintenance hemodialysis: A multiple mediation model of hope and family function

The objective of this study was to investigate the current situation of sleep quality in patients receiving maintenance hemodialysis (MHD), and whether hope and family function play a mediating role between negative emotions and sleep quality. The Athens Insomnia Scale, Hospital Anxiety and Depression Scale, Herth Hope Index and Family Adaptation, Partnership, Growth, Affection and Resolve (APGAR) Index were used to investigate 227 MHD patients. The correlations among study variables were analyzed by Pearson correlation analysis. Structural equation model was used to construct and evaluate the mediation model. The sleep quality score of 227 patients receiving MHD was (7.57 ± 4.74), anxiety score was (4.36 ± 4.02), depression score was (5.91 ± 4.37), hope score was (34.64 ± 7.21), family function score was (6.21 ± 2.90). The negative emotions can directly predict sleep quality (β = 0.17, P = .046), positively predict sleep quality through hope (β = 0.12, P = .017), positively predict sleep quality through family function (β = 0.20, P < .001), and positively predict sleep quality through the chain mediating of hope and family function (β = 0.10, P < .001). The total effect size was 71.19%. It is concluded that negative emotions had a direct impact on the sleep quality of patients receiving MHD, and that improving the levels of family function and hope can help them sleep better.

Residual kidney function and sleep quality in hemodialysis patients

Background

Sleep disorders frequently affect end-stage renal disease patients on dialysis. However, the relationship between sleep quality and residual kidney function is still unclear. Therefore, this study aimed to investigate this relationship.

Methods

In this analytical cross-sectional study, 225 patients who were referred to dialysis centers were studied, and based on renal function, they were classified into two groups with and without residual kidney function. The study employed the Pittsburgh Sleep Quality Index questionnaire to evaluate sleep quality. Multiple linear regression was utilized to determine the factors affecting sleep quality with a significance level consideration at p<0.05.

Results

The mean age of patients was 58.23 ± 13.50 years. 58.7% of patients were males. The problem of serious and very serious sleep in the Sleep latency and sleep duration has been more than other components. 72% of hemodialysis patients had poor sleep quality. In the multiple linear regression model, age (β = 0.442, 95% CI: 0.096, 0.788), sex (β = -0.847, 95% CI: -1.641, -0.054), Body mass index (β = 0.153, 95% CI: 0.058, 0.249) and dialysis duration (β = 0.097, 95% CI: 0.002, 0.192) were independently and significantly associated with sleep quality score. However, there was no statistically significant relationship between sleep quality and residual kidney function.

Conclusion

In conclusion, poor sleep quality is very common in patients undergoing hemodialysis. Therefore, sleep disorders in hemodialysis patients should be considered as one of the most challenging problems by healthcare providers, and early diagnosis and intervention are essential to improve sleep quality.

Anxiety and depression in geriatric hemodialysis patients: factors that influence the border of diseases

INTRODUCTION

The two main psychological issues that people with end-stage renal disease (ESRD) experience are depression and anxiety. We conducted this study to determine both the prevalence of depression and anxiety, and the factors associated with them, among hemodialysis patients.

METHODS

Patients aged 18 years or older, who had received hemodialysis in a hemodialysis center in Elbasan, for at least 3 months were included in this study. Beck Anxiety Inventory and Beck Depression Inventory Instruments were used to assess hemodialysis patients levels of depression and anxiety.

RESULTS

Overall, 107 hemodialysis patients (men 65.4%) with a mean age of 57 ± 8.9 years were enrolled in the study. The prevalence of anxiety and depression resulted to be 85.98, and 84.11%, respectively. We found a significant difference in depression and anxiety scores in patients age groups of 61-70 years old (OR = 1.8; 95% CI [0.7-3.7]; p = 0.041), in non-smoking patients (OR 3.4; 95% CI [1.09-8.2]; p = 0.04), in diabetic patients (OR 3.4; 95% CI [1.09-8.2]; p = 0.04), and in patients with a time in dialysis of 6-10 years and >11 years, respectively, (OR 3.4; 95% [1.5-9.0]; p = 0.01), (OR1.3; 95% CI [0.4-3.6]; p = 0.04).

CONCLUSION

Our study shows that the prevalence of mental disorders (depression and anxiety) is high among patients with ESRD on maintenance hemodialysis. We recommend a routine screening and referral to psychological health specialists to evaluate the mental health disorders among hemodialysis patients with the primary aim of improving their quality of life.

Anxiety and depression in maintenance hemodialysis patients: prevalence and their effects on health-related quality of life

PURPOSE

The aims of the study are to explore the prevalence and risk factors of anxiety and depression in hemodialysis (HD) patients and to study their relationship with quality of life (QOL).

METHODS

This cross-sectional study involved 298 HD patients. Sociodemographic, clinical, and laboratory data of the patients were obtained from their records. Anxiety and depression were assessed by utilizing Hospital Anxiety and Depression Scale (HADS). In addition, QOL of the patients were evaluated by fulfilling the Kidney Disease Quality of Life-36.

RESULTS

This study included 298 HD patients (male 59.1%) with a median age of 49 years. Abnormal and borderline cases of anxiety were recognized in 49.6%, 26.2% of the patients, respectively, while depression cases and borderline cases were identified in 55 and 28.2% of the patients, respectively. Percentages of females (41 and 48% vs 26.4%, respectively), and patients who were not working (92.3 and 93.9% vs 72.2%, respectively) increased significantly in borderline and abnormal anxiety groups. Patients who did not work, led an inactive lifestyle, and smoked had considerably greater percentages in the borderline and abnormal HADS-depression categories than normal patients. Abnormal cases of depression and anxiety had significantly longer duration of HD than other two groups. Abnormal and borderline cases of anxiety and depression had worse QOL components than the normal patients.

CONCLUSION

Anxiety and depression are prevalent among HD patients in Egypt, and several sociodemographic and clinical risk factors are associated. In addition, these mental disorders are associated with poor QOL.

A new approach to predicting mortality in dialysis patients using sociodemographic features based on artificial intelligence

One of the main problems that affect patients in dialysis therapy who are on the waiting list to receive a kidney transplant is predicting their survival time if they do not receive a transplant. This paper proposes a new approach to survival prediction based on artificial intelligence techniques combined with statistical methods to study the association between sociodemographic factors and patient survival on the waiting list if they do not receive a kidney transplant. This new approach consists of a first stage that uses the clustering techniques that are best suited to the data structure (K-Means, Mini Batch K-Means, Agglomerative Clustering and K-Modes) used to identify the risk profile of dialysis patients. Later, a new method called False Clustering Discovery Reduction is performed to determine the minimum number of populations to be studied, and whose mortality risk is statistically differentiable. This approach was applied to the OPTN medical dataset (n = 44,663). The procedure started from 11 initial clusters obtained with the Agglomerative technique, and was reduced to eight final risk populations, for which their Kaplan-Meier survival curves were provided. With this result, it is possible to make predictions regarding the survival time of a new patient who enters the waiting list if the sociodemographic profile of the patient is known. To do so, the predictive algorithm XGBoost is used, which allows the cluster to which it belongs to be predicted and the corresponding Kaplan-Meier curve to be associated with it. This prediction process is achieved with an overall Multi-class AUC of 99.08 %.

Correlates of objective sleep quality in older peritoneal dialysis patients

BACKGROUND

Sleep disturbance is a prominent concern in dialysis patients and detrimentally impacts clinical and self-reported health outcomes. This study aimed to collect sleep data from in-home actigraphy and to explore possible predictors of sleep quality in older peritoneal dialysis patients.

METHODS

This was a cross-sectional study. Peritoneal dialysis patients aged ≥60 years participated in this study. For each participant, sleep quality was assessed by analyzing the data produced by an actigraphic device worn on the wrist 24 h a day for seven consecutive days. Physical function was assessed using handgrip strength and the Timed Up and Go test. Depression was assessed using the self-reported Geriatric Depression Scale. Multiple linear regression analyses were performed to examine the factors influencing sleep efficiency and sleep time.

RESULTS

Based on data collected from 50 participants (N = 50, mean age 70.4 years, 70% male), including 333 nights of actigraphy-monitored sleep, the mean sleep efficiency was 75.5%±14.2% and the mean total sleep time 391.0 ± 99.3 min per night. Higher hemoglobin (β = 0.38, p = 0.007) and lower serum phosphorus (β = -0.30, p = 0.042) levels were significant predictors of better sleep efficiency. The only significant predictor of the total sleep time was age (β = 0.32, p = 0.021).

CONCLUSION

Older peritoneal dialysis patients had poor sleep, characterized by low sleep efficiency. Low hemoglobin and high serum phosphorus levels were predictors of poor sleep efficiency and, as such, modifiable factors for clinicians to consider when treating patients with sleep complaints.

Pain in Patients With Chronic Kidney Disease Undergoing Hemodialysis: A Systematic Review

AIMS

To assess the presence of pain, its location, intensity, and effects on the daily activities of patients with chronic kidney disease (CKD) undergoing hemodialysis (HD).

PARTICIPANTS/SUBJECTS

Patients with chronic kidney disease (CKD) undergoing hemodialysis (HD).

DESIGN

A systematic review.

METHODS

We carried out search for articles published until December 2020, including publications in Portuguese, English, and Spanish during the past 15 years (2005-2020), using the Embase, SciELO, PubMed, and Web of Science databases. The following information was collected: type of pain, pain treatment, pain assessment instrument, prevalence of pain, location, and influence of pain on quality of life.

RESULTS

Twenty-five studies were selected for a systematic review. These studies involved a total of 98,162 adult and elderly patients with CKD who were undergoing HD. There was a high prevalence of pain in patients with CKD on HD. The most frequent sites of pain were the head, back, bones, chest, and the upper and lower limbs. The presence of acute, chronic, neuropathic pain, and myalgia was also reported in the studies. In addition, there was a higher frequency of moderate and severe pain, which influenced daily activities, the ability to walk, mood, relationships with other people, sleep, and work in patients on dialysis.

CONCLUSIONS

The analyzed studies suggest that acute and chronic pain is a prevalent complaint in adults and elderly patients undergoing HD. There was a higher frequency of moderate and severe pain in different parts of the body, and pain interfered with everyday activities.

The impact of the SARS-CoV-2 pandemic on the mental health of hemodialysis patients in Lebanon

Hemodialysis is a necessary treatment for end-stage kidney disease patients. It imposes undergoing three sessions of dialysis per week in a specialized center. Amid the SARS-CoV-2 pandemic, precautionary measures were mandatory in all dialysis facilities and may have negatively impacted patients' well-being. This study aimed to uncover the scale of this effect. We performed a cross-sectional study of all patients undergoing chronic hemodialysis in two dialysis units (one urban and another rural). Patients with Alzheimer's disease were excluded. Patients filled a questionnaire including information on socio-demographics, factors related to the dialysis facility, and the impact of the COVID-19 epidemic on their mental health. A total of 72 patients responded. Their median age was 70 (60.79) years. Of them, 68% were males, 71% were married, and 10% were living alone. Following the pandemic, 35% felt more anxious, with a higher incidence of anxiety in the rural unit (p=0.021). Half of them felt very limited in their relationships, and 29% were isolated from their families. In total, 98% of patients were satisfied with the staff support. The imposed preventive measures were perceived as very strict in 27% of the surveyed patients. The majority of the urban group were bothered for not eating during the session, and they felt significantly more stress than the rural group (p=0.001). The SARS-CoV-2 pandemic increased anxiety among hemodialysis patients from a rural setting. Stress was more prevalent in the urban group and most probably related to limitations in eating during sessions. The majority were satisfied with staff support.