Distance between residence and the dialysis unit does not impact self-perceived outcomes in hemodialysis patients

Santos, Paulo Roberto; Arcanjo, Francisco Plácido Nogueira

doi:10.1186/1756-0500-5-458

Cited by 7 publications

(6 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…However, in multiple regression analysis, rural area was not an independent risk factor for depression. Moreover, the influence of the distance to the dialysis center on variables such as quality of life and depression has been recently studied, and distance was not found to have an effect ( 29 ).…”

Section: Discussionmentioning

confidence: 99%

Depression in hemodialysis patients: the role of dialysis shift

Teles¹,

Azevedo²,

Miranda³

et al. 2014

Clinics

View full text Add to dashboard Cite

OBJECTIVE:Depression is the most important neuropsychiatric complication in chronic kidney disease because it reduces quality of life and increases mortality. Evidence demonstrating the association between dialysis shift and depression is lacking; thus, obtaining such evidence was the main objective of this study.METHOD:This cross-sectional study included patients attending a hemodialysis program. Depression was diagnosed using Beck's Depression Inventory. Excessive daytime sleepiness was evaluated using the Epworth Sleepiness Scale.RESULTS:A total of 96 patients were enrolled (55 males, age 48±14 years). Depression and excessive daytime sleepiness were observed in 42.7% and 49% of the patients, respectively. When comparing variables among the three dialysis shifts, there were no differences in age, dialysis vintage, employment status, excessive daytime sleepiness, hemoglobin, phosphorus levels, or albumin levels. Patients in the morning shift were more likely to live in rural areas (p<0.0001), although patients in rural areas did not have a higher prevalence of depression (p = 0.30). Patients with depression were more likely to be dialyzed during the morning shift (p = 0.008). Independent risk factors for depression were age (p<0.03), lower levels of hemoglobin (p<0.01) and phosphorus (p<0.01), and dialysis during the morning shift (p = 0.0009). The hospitalization risk of depressive patients was 4.5 times higher than that of nondepressive patients (p<0.008).CONCLUSION:These data suggest that depression is associated with dialysis shift, higher levels of phosphorus, and lower levels of hemoglobin. The results highlight the need for randomized trials to determine whether this association occurs by chance or whether circadian rhythm disorders may play a role.

show abstract

Section: Discussionmentioning

confidence: 99%

Depression in hemodialysis patients: the role of dialysis shift

Teles¹,

Azevedo²,

Miranda³

et al. 2014

Clinics

View full text Add to dashboard Cite

show abstract

“…End-stage renal disease (ESRD) is an important health problem worldwide ( Santos & Arcanjo, 2012 ; Bayoumi et al, 2013 ). In Iran, specifically the prevalence and incidence rates of ESRD have increased from 49.9 cases per million people in 2000 to 63.8 cases per million people in 2006, an almost 28% increase over a 6 year period ( Pakpour et al, 2010 ).…”

Section: Introductionmentioning

confidence: 99%

Religious Wellbeing as a Predictor for Quality of Life in Iranian Hemodialysis Patients

Kharame¹,

Zamanian²,

Foroozanfar³

et al. 2014

GJHS

View full text Add to dashboard Cite

Aim:Spiritual well-being is known as a main resource for adjustment and coping when confronted with stressful situations such as managing a chronic disease. The aim of this study is to determine the very relationship between spiritual well-being and quality of life in hemodialysis patients.Methods:A convenience sample of 95 patients with end-stage renal disease who were referred to main hemodialysis centers were included from December 2012 to June 2013. Data was collected by using a socio-demographic questionnaire, the SF-36 quality of life scale, and the spiritual wellbeing scale. Descriptive analysis, Pearson’s correlation and logistic regression analysis were performed for statistical assessment.Results:The mean age of the patients evaluated was 50.4 (SD=15.72) years of age, and 61.1% of the patients were male. Both religious and existential domains of spiritual wellbeing were associated with bodily pain, vitality, social functioning and mental health (P<0.05). The results of multiple logistic regression showed that religious well-being was associated with better quality of life in both domains of physical (OR=1.17; p=0.01) and mental (OR=1.14; p=0.02) components after controlling for socio-demographic and clinical variables.Conclusion:Religious well-being should be considered important predictive factors for the better quality of life in hemodialysis patients. This indicates the need for psychosocial and spiritual supports in the care of these patients.

show abstract

“…However, a study in Brazil reported that differences between urban and rural residency. 18 The variations between studies could be explained, in part, by the differences in sample size, study settings, follow-up period, and sociodemographic characteristics as well as socio-economic characteristics of study participants.…”

Section: Discussionmentioning

confidence: 99%

<p>Incidence and Predictors of Congestive Heart Failure Among Hemodialysis Patients at Felege Hiote Referral Hospital, Northwest Ethiopia, 2020: Retrospective Cohort Study</p>

Gedfew¹,

Ayenew²,

Mengst³

et al. 2020

RRCC

View full text Add to dashboard Cite

Background: Heart failure is the cumulative and progressive result of conditions that cause structural defects and functional abnormalities in the heart. It is affects at least 26 million people worldwide and is increasing in prevalence especially among hemodialysis patients with severe renal failure. Objective: To assess the incidence and predictors of congestive heart failure among hemodialysis patients at Felege Hiote Referral Hospital, Northwest Ethiopia. Methods: This institutionally based retrospective cohort study was undertaken among 205 hemodialysis patients of Felege Hiote Referral Hospital from January 1, 2016 to February 29, 2020. All eligible hemodialysis patients who fulfilled the inclusion criteria were included in the study. Data were entered using Epi-data Version 4.1 and analyzed using STATA Version 14. The survival time of hemodialysis patients was estimated using the Kaplan-Meier survival curve, and the survival time between different categorical variables was compared using the log rank test. Both bivariable and multivariable Cox-proportional hazard regression models were fitted to identify independent predictors of congestive heart failure among hemodialysis patients. Results: Among a cohort of 205 hemodialysis patients at Felege Hiote Referral Hospital, 12 (5.9%) developed congestive heart failure during the follow-up time. The overall congestive heart failure incidence rate was 2.9 per 100 person-years (PY) with 95% CI. The total time allotted to follow up the study participants was 4968 PY. Using multivariable Cox-regression analysis, we found that male sex, rural residence, no formal education, low body mass index (<18.5), presence of comorbidity, and anemia during dialysis initiation significantly increased the risk of heart failure. Conclusion: In this study, we found a high rate of congestive heart failure among hemodialysis patients. Factors significantly linked with increased risk of heart failure included male sex, rural residence, no education, low body mass index (<18.5), presence of comorbidity, and anemia during dialysis initiation. Early screening and treatment for heart failure are highly recommended at hemodialysis follow-up for patients with the above risk factors.

show abstract

Distance between residence and the dialysis unit does not impact self-perceived outcomes in hemodialysis patients

Cited by 7 publications

References 14 publications

Depression in hemodialysis patients: the role of dialysis shift

Depression in hemodialysis patients: the role of dialysis shift

Religious Wellbeing as a Predictor for Quality of Life in Iranian Hemodialysis Patients

<p>Incidence and Predictors of Congestive Heart Failure Among Hemodialysis Patients at Felege Hiote Referral Hospital, Northwest Ethiopia, 2020: Retrospective Cohort Study</p>

Contact Info

Product

Resources

About