Dataset Information

Effect of dialysis modality on frailty phenotype, disability, and health-related quality of life in maintenance dialysis patients.

ABSTRACT:

Background

Health-related quality of life (HRQoL) surveys are needed to evaluate regional and ethnic specificies. The aim of the present study was to evaluate the differences in HRQoL, frailty, and disability according to dialysis modality in the Korean population.

Patients and methods

We enrolled relatively stable maintenance dialysis patients. A total of 1,616 patients were recruited into our study. The demographic and laboratory data collected at enrollment included age, sex, comorbidities, frailty, disability, and HRQoL scales.

Results

A total of 1,250 and 366 participants underwent hemodialysis (HD) and peritoneal dialysis (PD), respectively. The numbers of participants with pre-frailty and frailty were 578 (46.2%) and 422 (33.8%) in HD patients, and 165 (45.1%) and 137 (37.4%) in PD patients, respectively (P = 0.349). Participants with a disability included 195 (15.6%) HD patients and 109 (29.8%) PD patients (P < 0.001). On multivariate analysis, the mean physical component scale (PCS) and mental component scale (MCS), symptom/problems, and sleep scores were higher in HD patients than in PD patients. Cox regression analyses showed that an increased PCS in both HD and PD patients was positively associated with patient survival and first hospitalization-free survival. An increased MCS in both HD and PD patients was positively associated with first hospitalization-free survival only.

Conclusion

There was no significant difference in frailty between patients treated with the two dialysis modalities; however, disability was more common in PD patients than in HD patients. The MCS and PCS were more favorable in HD patients than in PD patients. Symptom/problems, sleep, quality of social interaction, and social support were more favorable in HD patients than in PD patients; however, patient satisfaction and dialysis staff encouragement were more favorable in PD patients than in HD patients.

SUBMITTER: Kang SH

PROVIDER: S-EPMC5415130 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Publications

Effect of dialysis modality on frailty phenotype, disability, and health-related quality of life in maintenance dialysis patients.

Kang Seok Hui SH Do Jun Young JY Lee So-Young SY Kim Jun Chul JC

PloS one 20170503 5

<h4>Background</h4>Health-related quality of life (HRQoL) surveys are needed to evaluate regional and ethnic specificies. The aim of the present study was to evaluate the differences in HRQoL, frailty, and disability according to dialysis modality in the Korean population.<h4>Patients and methods</h4>We enrolled relatively stable maintenance dialysis patients. A total of 1,616 patients were recruited into our study. The demographic and laboratory data collected at enrollment included age, sex, c ...[more]

PMID: 28467472

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Project description:Background and objectivesPeritoneal dialysis (PD) is associated with an increased risk of infection-related hospitalization (IRH) compared with hemodialysis. The objective of this study was to compare mortality and overall readmission after an IRH between PD and hemodialysis.Design, setting, participants, & measurementsThis propensity score-matched retrospective cohort study assessed patients undergoing long-term dialysis patients, derived from the Canadian Organ Replacement Register and Régie de l'assurance maladie du Québec, who had at least one IRH between January 2001 and December 2007. Patients were followed until death, kidney transplantation, or end of the study period. To estimate the probability of receiving PD versus hemodialysis, propensity scores were obtained using multivariable logistic regression. Mortality and overall readmission risks after the initial IRH were compared using a Cox survival model.ResultsA total of 354 pairs of patients who had at least one IRH were matched for propensity score. During follow-up (median, 1.25 years), 138 hemodialysis patients (24.7/100 patient-years; 95% confidence interval [95% CI], 20.7 to 29.1) and 130 PD patients (21.2/100 patient-years; 95% CI, 17.7 to 25.1) died; 265 hemodialysis patients (144.6/100 patient-years; 95% CI, 127.7 to 163.1) and 299 PD patients (173.2/100 patient-years; 95% CI, 154.1 to 194.0) were readmitted for any cause; and 121 hemodialysis patients (29.7/100 patient-years; 95% CI, 24.7 to 35.5) and 168 PD patients (44.7/100 patient-years; 95% CI, 38.2 to 52.0) were readmitted for an infection. Compared with hemodialysis, PD was not associated with a different mortality risk after an IRH (hazard ratio [HR], 0.87; 95% CI, 0.69 to 1.11). PD was associated with a higher risk of infection-related overall readmission compared with hemodialysis (HR, 1.44; 95% CI, 1.14 to 1.81), but not with the risk of all-cause overall readmission (HR, 1.15; 95% CI, 0.98 to 1.36).ConclusionsPD was not associated with higher mortality or all-cause overall readmission following an IRH compared with hemodialysis, but PD patients were at higher risk of infection-related overall readmission after IRH. IRHs are associated with significant mortality and overall readmissions. Evaluation of strategies to reduce infections in both hemodialysis and PD recipients are needed to improve patient care and outcomes.

Project description:IntroductionDialysis patients are often prescribed a large number of medications to improve metabolic control and manage coexisting comorbidities. However, some studies suggest that a large number of medications could also detrimentally affect patients' health-related quality of life (HRQoL). Therefore, this study aims to provide insight in the association between the number of types of medications and HRQoL in dialysis patients.MethodsA multicentre cohort study was conducted among dialysis patients from Dutch dialysis centres 3 months after initiation of dialysis as part of the ongoing prospective DOMESTICO study. The number of types of medications, defined as the number of concomitantly prescribed types of drugs, was obtained from electronic patient records. Primary outcome was HRQoL measured with the Physical Component Summary (PCS) score and Mental Component Summary (MCS) score (range 0-100) of the Short Form 12. Secondary outcomes were number of symptoms (range 0-30) measured with the Dialysis Symptoms Index and self-rated health (range 0-100) measured with the EuroQol-5D-5L. Data were analysed using linear regression and adjusted for possible confounders, including comorbidity. Analyses for MCS and number of symptoms were performed after categorizing patients in tertiles according to their number of medications because assumptions of linearity were violated for these outcomes.ResultsA total of 162 patients were included. Mean age of patients was 58 ± 17 years, 35% were female, and 80% underwent haemodialysis. The mean number of medications was 12.2 ± 4.5. Mean PCS and MCS were 36.6 ± 10.2 and 46.8 ± 10.0, respectively. The mean number of symptoms was 12.3 ± 6.9 and the mean self-rated health 60.1 ± 20.6. In adjusted analyses, PCS was 0.6 point lower for each additional medication (95% confidence interval [95% CI]: -0.9 to -0.2; p = 0.002). MCS was 4.9 point lower (95% CI: -8.8 to -1.0; p = 0.01) and 1.0 point lower (95% CI: -5.1-3.1; p = 0.63) for the highest and middle tertiles of medications, respectively, than for the lowest tertile. Patients in the highest tertile of medications reported 4.1 more symptoms than in the lowest tertile (95% CI: 1.5-6.6; p = 0.002), but no significant difference in the number of symptoms was observed between the middle and lowest tertiles. Self-rated health was 1.5 point lower for each medication (95% CI: -2.2 to -0.7; p < 0.001).Discussion/conclusionAfter adjustment for comorbidity and other confounders, a higher number of medications were associated with a lower PCS, MCS, and self-rated health in dialysis patients and with more symptoms.

Project description:BackgroundMultimorbidity and frailty are relevant conditions among older adult population. There is growing evidence about their association with poor health outcomes like disability, worst quality of life, and death. Nonetheless, the independent associations of both conditions have been studied, and few evidence exists about an interaction between them. Our aims were to assess the association of frailty and multimorbidity with the disability, quality of life and all-cause mortality as well as to analyze a potential interaction between these conditions.MethodsAnalytical samples included 1410 respondents for disability and quality of life, and 1792 for mortality. We performed a longitudinal analysis with older Mexican adults aged 50, using data collected from the WHO's Study on global AGEing and Adult Health Waves 1 and 2. Disability was measured using the World Health Organization Disability Assessment Schedule (WHODAS 2.0), and quality of life using the WHOQOL (WHO Quality of Life) instrument. All-cause mortality was determined by reviewing death certificates. Associations of frailty and multimorbidity with disability, quality of life and mortality were estimated using linear regression and Cox proportional hazards models.ResultsMultimorbidity assessed through three patterns (cardiopulmonary, vascular-metabolic, and mental-musculoskeletal) was associated with the three outcomes in this study. Cardiopulmonary and mental-musculoskeletal patterns increased the WHODAS mean score (β = 5.05; p < 0.01 and β = 5.10; p < 0.01, respectively) and decreased WHOQOL score (β = - 1.81; p < 0.01 and β = - 2.99; p < 0.01, respectively). Vascular-metabolic was associated with mortality (HR = 1.47; p = 0.04), disability (β = 3.27; p < 0.01) and quality of life (β = - 1.30; p = 0.02). Frailty was associated with mortality (pre-frail: HR = 1.48; p = 0.02 and frail: HR = 1.68; p = 0.03), disability (pre-frail: β = 5.02; p < 0.01; frail: β = 13.29; p < 0.01) and quality of life (pre-frail: β = - 2.23; p < 0.01; frail: β = - 4.38; p < 0.01). Interaction terms of frailty and multimorbidity were not statistically significant.ConclusionsMultimorbidity and frailty are important predictors of poor health outcomes. These results highlight the importance of carrying out health promotion and prevention actions as well as specific interventions aimed at older adults who suffer from multimorbidity and frailty, in such a way that deleterious effects on health can be avoided.

Dataset Information

Effect of dialysis modality on frailty phenotype, disability, and health-related quality of life in maintenance dialysis patients.

Background

Patients and methods

Results

Conclusion

Publications

Effect of dialysis modality on frailty phenotype, disability, and health-related quality of life in maintenance dialysis patients.

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