Association of plant and animal protein intake with sleep quality and quality of life in hemodialysis patients: a multicenter cross-sectional study

Background

The current study aimed to evaluate the association between the intake of plant-based protein, animal-based protein, total protein, and the ratio of plant to animal protein with sleep quality and quality of life in patients undergoing hemodialysis.

Methods

In this cross-sectional study, 479 adult patients undergoing dialysis for a minimum of 3 months were included. The dietary intake was calculated using information from a validated 168-item semi-quantitative food frequency questionnaire. Quality of life (QOL) was assessed using the Kidney Disease Quality of Life Short Form (KDQOL-SF 1.3). and the Pittsburgh Sleep Quality Index (PSQI) was used to assess sleep quality.

Results

In this study, the mean age of the participants was 58.18 years (± 14.25 years), with the majority being male (58.2%). After adjusting for potential confounders, significant positive associations were observed between total protein intake (β = 0.12, p = 0.03) and quality of life (QOL). Conversely, there were significant negative associations between the ratio of plant to animal protein intake (β = -0.94, p < 0.01) and QOL. Furthermore, significant negative associations were found between total protein intake (β = -0.02, p < 0.05) and animal protein intake (β = -0.19, p < 0.05) with poor sleep quality. Additionally, there were significant positive associations between the ratio of plant to animal protein intake (β = 0.188, p < 0.05) and poor sleep quality.

Conclusion

Increased consumption of animal protein is associated with improved sleep quality and Quality of Life (QOL) in patients undergoing hemodialysis (HD). Further research, especially prospective studies, is required to confirm these associations.

History of Sleep Disorders in Chronic Kidney Disease: First Approach

OBJECTIVES

In this study, we examined the history of sleep disorders in chronic kidney disease, 60 years after the advent of hemodialysis and renal transplant of genetically nonrelated organs, which have spurred a critical mass of data.

MATERIALS AND METHODS

We analyzed selected literature on sleep disorders in chronic kidney disease from 1959 onward.

RESULTS

Sleep disturbances are present in the general population. They cause loss of renal function and progressive nephron loss. Insomnia, sleep apnea, restless leg syndrome, and periodic limb movements represent sleep disturbances in chronic kidney disease. These symptoms manifest early in chronic kidney disease and are a rule in patients on dialysis and kidney transplant recipients. Sleep disturbances cause fatigue, excessive daily sleepiness, impaired daytime function, impaired health-related quality of life, increased morbidity, and increased mortality.

CONCLUSIONS

Sleep disorders affect most patients with chronic kidney disease. No ascertained pharmacological therapy exists, and even a successful transplant does not totally restore a refreshing sleep. Longer nocturnal hemodialysis is of benefit. Sleep apnea may be cured with continuous positive airway pressure.

The Association of Sleep Quality and Vitamin D Levels in Hemodialysis Patients

Background

To date, hemodialysis (HD) is the most common therapy for chronic kidney disease (CKD) patients. However, it causes different complications such as sleep disorders. Sleep regulation is connected to vitamin D; hence, its deficiency might influence the quality and duration of sleep. This study is aimed at evaluating the correlation of sleep quality and vitamin D levels in 80 HD patients.

Methods

This cross-sectional study was performed on 80 hemodialysis patients admitted to 29 Bahman hospitals in Tabriz, Iran. Before beginning of dialysis, serum 25 (OH) D levels were assessed among patients and the sleep patterns and sleep quality of patients were accurately calculated by the Pittsburgh sleep quality index (PSQI) standard questionnaire.

Results

Our results showed that 22 HD patients (27.5%) had severe sleep disorders. In addition, it was found that serum levels of vitamin D had significant correlation with sleep quality (r = −0.341, p = 0.002) in general, even after adjusting confounding factors such as calcium (Ca), phosphate (P), and parathyroid hormone (PTH) level. In poor sleepers (PSQI ≤ 5), a negative correlation was observed between the levels of vitamin D and PSQI score (r = −0.397, p = 0.004). PSQI scores in the normal range of PTH (r = −0.377, p = 0.006) and in >600 pg/ml of PTH (r = −0.675, p = 0.011) had a correlation with vitamin D levels. The level of vitamin D was the single independent predictor of sleep efficiency (β coefficient = −0.386, p = 0.001).

Conclusion

The present project reported that the positive effect of vitamin D is associated with sleep disorder in HD patients. In future studies, normal levels of Ca and P should be considered along with normal vitamin D levels among the included patients.

Evolution of body composition and wasting indicators by time of day of haemodialysis

BACKGROUND

It has been a long-standing clinical concern that haemodialysis (HD) patients on afternoon shifts (ASs) are more prone to protein-energy wasting (PEW) than those on morning shifts (MSs), as their dialysis scheme and post-dialysis symptoms may interfere with meal intake. We evaluated the effect of time of day of HD on the evolution of body composition changes and PEW surrogates.

METHODS

We conducted a retrospective study among 9.963 incident HD patients treated in NephroCare centres (2011-16); data were routinely collected in the European Clinical Database. The course of multi-frequency bioimpedance determined lean and fat tissue indices (LTI and FTI) between patients in MSs/ASs over 2 years were compared with linear mixed models. Secondary PEW indicators were body mass index, albumin, creatinine index and normalized protein catabolic rate. Models included fixed (age, sex, vascular access and diabetes mellitus) and random effects (country and patient).

RESULTS

Mean baseline LTI and FTI were comparable between MSs (LTI: 12.5 ± 2.9 kg/m2 and FTI: 13.7 ± 6.0 kg/m2) and ASs (LTI: 12.4 ± 2.9 kg/m2 and FTI: 13.2 ± 6.1 kg/m2). During follow-up, LTI decreased and FTI increased similarly, with a mean absolute change (baseline to 24 months) of -0.3 kg/m2 for LTI and +1.0 kg/m2 for FTI. The course of these malnutrition indicators did not differ between dialysis shifts (P for interaction ≥0.10). We also did not observe differences between groups for secondary PEW indicators.

CONCLUSIONS

This study suggests that a dialysis shift in the morning or in the afternoon does not impact the long-term nutritional status of HD patients. Regardless of time of day of HD, patients progressively lose muscle mass and increase body fat.

Prevalence of Depression, Anxiety and Insomnia in Chronic Kidney Disease Patients and their Co-Relation with the Demographic Variables

BACKGROUND

Chronic kidney disease (CKD) is an emerging health problem in both developed and developing countries. Depression, anxiety and sleep disturbances are highly prevalent in patients with chronic disease, but remain undertreated despite significant negative consequences on patients' health. Assessment of key components of mental health early in disease course will help to identify high risk subjects in whom modifying these predictors will help in providing active and healthy life in CKD patients.

METHODS

We did a cross sectional study in 200 patients of CKD stage III to V-D fulfilling the eligibility criteria who were on follow up in a single tertiary care center in the state of Haryana, India. We assessed the prevalence of anxiety, depression and insomnia and their correlation with demographic variables in these patients. The structured questionnaire used in this study gathered information on respondent demographic and disease characteristics, and information obtained from the HADS and PSQI questionnaire. Factors associated with anxiety, depression and insomnia were examined by a multiple logistic regression analysis.

RESULTS

The prevalence of anxiety, depression and insomnia were found to be 71%, 69% and 86.5% respectively. As the CKD stage advanced, the prevalence as well as severity of these parameters increased. Anxiety, depression and sleep quality were found to be significantly correlated to unemployment, low income, low education, urban residence and presence of co-morbidities. The anxiety, depression and insomnia scores were found to have a strong negative correlation with eGFR, hemoglobin, serum calcium (p <0.01) and a positive correlation with TLC, blood urea, serum creatinine and serum phosphate (p <0.05).

CONCLUSION

We observed a high prevalence of anxiety, depression and insomnia in CKD patients. There is a need to develop strategies to accurately identify "high risk" subjects who may benefit from preventive measures before complications occur. By identifying CKD patients with high risk of developing these mental health related issues, healthcare provider may be better able to ensure the provision of appropriate rehabilitation to this population.

Predictors of Sleep Quality in Hemodialysis Patients

Purpose

Poor sleep quality (SQ) is common in hemodialysis (HD) patients. Factors associated with poor SQ are not well understood. The objectives of the present study were to determine the prevalence of poor SQ in HD patients in our region and to examine the association between SQ and health-related quality of life (HRQoL), depression, and certain clinical and laboratory parameters.

Methods

A total of 233 HD patients at 5 centers in the city center of Konya, Turkey were included in this study. Their demographic data and biochemical parameters were analyzed. All patients were instructed to complete Turkish versions of three questionnaires, namely, a modified post-sleep inventory (PSI), Beck Depression Inventory (BDI) and a Short Form of Medical Outcomes Study (SF-36).

Results

The mean age of the patients was 52.8±15.3 years and the male to female ratio was 1.33:1. The prevalence of poor sleepers, defined as those having a total sleep score (PSI-4 score) ≥ 4, was 60.9%. Compared with good sleepers, poor sleepers had higher BDI scores and as well as lower PCS and MCS domains of HRQoL. In addition, poor sleepers were older and more likely to be unemployed. There was a significant inverse correlation of PSI-4 score with PCS and MCS, and significant positive correlation of PSI-4 score with BDI and age (p<0.001). The significant independent predictors of PSI-4 score were BDI score, MCS score and employment status.

Conclusions

Depression, MCS score and employment status were the most important predictors of sleep quality in HD patients.

Sleep Disorders in Hemodialyzed Patients – The Role of Comorbidities

Background

Sleep disorders are very frequent in hemodialyzed patients, but the relationship between these disorders and water withdrawal, urea removal and comorbidities has not been sufficiently clarified.

Methods

The study comprised a group of 88 patients in good nutritional condition, with target hemoglobin concentration, good control of blood pressure and optimal dry weight. After answering a questionnaire (SDQ) based on the Diagnostic and Statistical Manual of Mental Disorders (DSM-IV) patients were assigned to one of 3 groups: those with no disturbances (no. 20), those with subclinical disorders (n. 35) and insomniacs (n. 33). Yearly fluid and urea withdrawal by dialysis and the Charlson Comorbity Index were measured.

Results

Sleep disorders were observed in 77.27% of the patients. There was no difference in body fluid and urea withdrawal between groups. In the group of patients with no sleeping disturbances, the Charlson Comorbidity Index was significantly lower (p<0.001) than in patients with subclinical disorders or insomnia and emerged as a strongly associated with sleep disturbances. The study also attributes a predictive role to age, dialytic age, dialysis shift, antihypertensive drugs. The data indicate that, in evaluating sleeping disorders in patients on maintenance hemodialysis, comorbidities should be assessed.

Effects of cognitive behavioral therapy on insomnia of maintenance hemodialysis patients

The objective of the study was to evaluate the effects of cognitive behavioral therapy [sleep-related behavior modification and progressive muscle relaxation on insomnia of maintenance hemodialysis (MHD) patients] on improving insomnia of MHD patients. 103 MHD patients complicated with insomnia were randomly assigned to treatment (n = 52) and control (n = 51) groups. The control group was treated with conventional hemodialysis, and the treatment group was additionally treated with cognitive behavioral therapy for 3 months (sleep-related behavior modification and progressive muscle relaxation). All cases were assessed by Symptom Checklist 90 (SCL-90) and Pittsburgh Sleep Quality Index (PSQI) before and 2, 4, 6, 8, 10, and 12 weeks after treatment. Fifty-one patients in the treatment group and 47 patients in the control group completed the experiments. After treatment, the total mean scores were (1.94 ± 0.50/2.29 ± 0.31); scores of somatization, depression, anxiety, hostility, and additional items were (1.87 ± 0.58/2.56 ± 0.26), (2.25 ± 0.80/2.79 ± 0.50), (1.79 ± 0.26/2.37 ± 0.34), (1.71 ± 0.46/2.25 ± 0.43), and (1.91 ± 0.67/2.26 ± 0.59) in SCL-90, respectively. The total scores for PSQI were (12.63 ± 2.27/16.40 ± 2.16); scores of subjective sleep quality, sleep latency, sleep duration, habitual sleep efficiency, sleep disturbance, hypnotics, and daytime dysfunction which were (1.98 ± 0.76/2.57 ± 0.58), (1.75 ± 0.59/2.60 ± 0.50), (2.10 ± 0.50/2.62 ± 0.53), (2.06 ± 0.47/2.57 ± 0.54), (2.04 ± 0.69/2.45 ± 0.72), (1.02 ± 0.79/1.51 ± 0.98), and (1.69 ± 0.55/2.09 ± 0.58), respectively, were significantly lower in the treatment group compared with the control group. However, there were no significant differences in the scores of factors of obsessive-compulsive (2.26 ± 0.62/2.32 ± 0.38), interpersonal sensitivity (2.23 ± 0.64/2.43 ± 0.47), phobic anxiety (1.98 ± 0.62/2.01 ± 0.67), paranoid ideation (1.55 ± 0.43/1.69 ± 0.39), and psychoticism (1.57 ± 0.46/1.66 ± 0.49). The conclusion is that sleep-related behavior modification in combination with progressive muscle relaxation effectively improved the mental state and sleep quality of MHD patients with insomnia.

A longitudinal study of sleep disorders in early-stage chronic kidney disease

Few studies have addressed the problem of sleep disturbances in patients with early-stage chronic kidney disease (CKD). A total of 220 patients newly diagnosed with CKD and 220 patients newly diagnosed with chronic hepatitis C were studied within 1 month from the diagnosis. They were evaluated by using the Charlson Comorbidity Index, the Pittsburgh Sleep Quality Index, and the Beck Depression Inventory. Patients with CKD were followed up for 4 years. Sleep disturbances affected 59.5% of patients with chronic hepatitis C and 84.6% of patients with CKD. Sleeping disorders that were severe and peculiar in early CKD improved significantly over time. Beck Depression Inventory disclosed significant depression, which was ameliorated over time. Charlson Comorbidity Index was constant over time. Logistic regression analysis failed to detect significant correlations for putative factors emerging from studies in hemodialyzed patients, with the exception of depression.

Sleep disorders: a systematic review of an emerging major clinical issue in renal patients

The prevalence of sleep disorders is significantly higher (up to 80%) in patients with chronic uremia compared to the general population. Sleep disorders appear even in the early stages of chronic kidney disease. These disturbances are complex, including difficulties in falling asleep and awakening, interrupted sleep, nightmares, restless legs syndrome, sleep apnea syndrome, etc. There are still disagreements on the major etiological factors of sleep disorders in the uremic patient. Older age, long dialysis vintage, alcohol and tobacco abuse and, particularly, the presence of significant comorbidities are major determinants of sleep disorders in dialysis patients. Proper assessment of sleep disorders in the renal population is still under investigation; recent studies have mostly addressed patients' perception based on questionnaires. More precise polysomnographic assessments are less studied in renal patients. Sleep disorders significantly affect quality of life in dialysis patients. An accurate and early identification of such disturbances would lead to a significant improvement in quality of life, and probably also in outcome, in uremic patients. Sleep apnea syndrome is extremely frequent in dialysis patients, with obvious consequences for cardiovascular morbidity and mortality. Proper diagnosis and therapy of sleep apnea syndrome could significantly reduce cardiovascular risk. Although sleep quality improves after renal transplantation, allograft recipients still have significantly more sleep disorders than healthy individuals. Here, we review recent data on sleep disturbances in renal patients, focusing on the end-stage renal disease patient treated by dialysis.

Sleeping disorders in patients with end-stage renal disease and chronic kidney disease

About 85% of patients on maintenance hemodialysis have sleep disorders that depend on comorbidities, age, morning dialytic shift, and blood pressure. They are ameliorated by erythropoietin, by transplantation, and by daily and nocturnal dialysis. Some data exist on sleep disorders in CKD patients, and show that lack of a refreshing sleep is present even at early stages of the disease and may affect 82.2% of patients without any relationship to comorbidities.