Predictors for quality of life in continuous ambulatory peritoneal dialysis patients

Bilgic, Ayse; Akman, Beril; Sezer, Sıren; Özışık, Lale; Arat, Z.; Özdemir, F.N.; Haberal, Mehmet

doi:10.1111/j.1440-1797.2008.00970.x

Cited by 24 publications

(20 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Data reported from different countries show that the HRQoL assessment outcomes ranged from poor to moderate. 4,13,19,[22][23][24]29,[31][32][33] MCS and PCS scores in our study were similar to those in studies reported from Serbia, France, and Mexico. 2,28,30 However, MCS in our study was slightly lower than that of the United Kingdom, the United States, and the Netherlands, whereas PCS was higher than that of the United Kingdom and the United States.…”

Section: Discussionsupporting

confidence: 89%

“…1,19,30 Previous studies using the SF-36 scale in Turkey have shown that the PCS and MCS scores were higher than ours. 20 On the contrary, our scores are similar to Bilgiç et al 31 Similarities may have originated from the sampling groups in both studies with regard to mean age and PD duration of the patients. The difference may be the result of the lower PD duration in the study by Kalender et al 20 than in ours.…”

Section: Discussionsupporting

confidence: 71%

See 1 more Smart Citation

Important determinants of quality of life in a peritoneal dialysis population in Turkey

et al. 2010

View full text Add to dashboard Cite

Background: Patients' health-related quality of life (HRQoL) is an important indicator for predicting the effectiveness of treatment, morbidity, and mortality. The aim of this study was to determine the level of HRQoL and the most important factors affecting HRQoL in patients receiving peritoneal dialysis (PD). Methods: This cross-sectional study was performed with 156 patients, 30 of whom (19.2%) had automated PD (APD), were over 18 years of age, and were followed up at the Erciyes University Continuous Ambulatory Peritoneal Dialysis (CAPD) Unit during the previous year. HRQoL, depression, and fatigue were measured by means of the Short Form-36 (SF-36), Beck Depression Inventory (BDI), and Fatigue Severity Scale (FSS), respectively. Results: The mean mental component summary (MCS) score was 42.1 ± 11.9 and physical component summary (PCS) score was 39.1 ± 11.2, which was lower than MCS. Depression was the strongest predictor for both diminished mental (b = −24.4, p < 0.001) and physical (b = −16.5, p < 0.001) HRQoL. Fatigue was the next strongest predictor for diminished physical HRQoL only (b = −7.74, p < 0.001). Depression and fatigue accounted for 37% of physical HRQoL impairment. Depression as a sole factor was responsible for 31% of mental HRQoL impairment. Age, hospitalization, total cholesterol, serum albumin levels, and Kt/V urea had affected the SF-36 in some domains score but not in all. Conclusion: HRQoL in our PD patients can be evaluated at a slightly poor level compared to the results of previous studies. Impaired HRQoL is more closely associated with depression and fatigue. Depression was the strongest predictor of both mental and physical HRQoL. Fatigue was the next strongest predictor for physical HRQoL only.

show abstract

Section: Discussionsupporting

confidence: 89%

Section: Discussionsupporting

confidence: 71%

Important determinants of quality of life in a peritoneal dialysis population in Turkey

et al. 2010

View full text Add to dashboard Cite

show abstract

“…Concerning factors that influence HRQOL in PD patients specifically, Bakewell et al showed a decline of HRQOL over time that was associated with poorer clinical outcomes (12). Other factors affecting this group of patients are low residual renal function (13,14), malnutrition, and inflammation (15). Depression and anxiety have also been reported as being a problem in PD patients, affecting their assessment of their own HRQOL (16)(17)(18).…”

Section: Rossi Dos Santos Grincenkov Et Almentioning

confidence: 99%

Longitudinal Changes in Health-Related Quality of Life Scores in Brazilian Incident Peritoneal Dialysis Patients (Brazpd): Socio-Economic Status Not a Barrier

et al. 2013

View full text Add to dashboard Cite

“…In a study that aimed to determine the clinical, biochemical and psychological predictors of HRQOL in PD patients, Bilgic et al [6] observed that depression, poor sleep, high C-reactive protein and low albumin levels were associated with worse HRQOL in a group of 60 PD patients, suggesting that interventions targeted to improve these parameters should be prioritized. Moreover, these data reinforce the needs to identify the factors which may negatively impact the QOL of these patients and address them.…”

Section: Introductionmentioning

confidence: 99%

Impact of Baseline Health-Related Quality of Life Scores on Survival of Incident Patients on Peritoneal Dialysis: A Cohort Study

Grincenkov¹,

Fernandes²,

Pereira³

et al. 2015

Nephron

View full text Add to dashboard Cite

Introduction: In an attempt to decrease mortality in patients with end-stage renal disease, an increase in the lifetime of these patients without much focus on health-related quality of life (HRQOL) was pursued for a long period of time. However, lately, an improvement in the quality of this extended lifetime has focused on both the physical as well as the social and emotional aspects, as these parameters may be associated with clinical outcomes in end-stage renal disease patients. Aim: To evaluate the impact of self-determined HRQOL at admission on survival of incident peritoneal dialysis (PD) patients. Patients and Methods: A total of 1,624 incident Brazilian PD patients participating in a multicenter prospective cohort study (BRAZPD) were evaluated. HRQOL was assessed using the SF-36, divided into mental and physical components. Cox proportional regression analysis was used to determine the influence ofHRQOL (mental and physical components) on mortality. Multivariate Cox proportional hazards analyses were used to adjust gradually for more potential explanatory variables: first for demographic variables, followed by additional adjustment for socioeconomic, clinical and laboratory variables. The significance level in all analyses was set at p < 0.05. All analyses were carried out with SPSS 17.0. Results: Incident PD patients presented with low HRQOL scores on admission to therapy. Even after correction for sociodemographic variables, comorbidities, PD modality and laboratory parameters, HRQOL (both the mental and the physical components) remained a predictor [HR: 0.97 (CI: 0.95-0.98); HR: 0.97 (CI: 0.96-0.99), respectively] of survival. Conclusion: On admission to therapy, patients presenting with low HRQOL scores for both the mental and the physical components were associated with a higher mortality. These results suggest that early and timely intervention measures to improve the QOL of these patients are important.

show abstract

Predictors for quality of life in continuous ambulatory peritoneal dialysis patients

Cited by 24 publications

References 27 publications

Important determinants of quality of life in a peritoneal dialysis population in Turkey

Important determinants of quality of life in a peritoneal dialysis population in Turkey

Longitudinal Changes in Health-Related Quality of Life Scores in Brazilian Incident Peritoneal Dialysis Patients (Brazpd): Socio-Economic Status Not a Barrier

Impact of Baseline Health-Related Quality of Life Scores on Survival of Incident Patients on Peritoneal Dialysis: A Cohort Study

Contact Info

Product

Resources

About