Identification of factors responsible for postdialysis fatigue

Sklar, Allan H.; Newman, Nancy M.; Scott, R. J.; Semenyuk, Lesya; Schultz, Jennifer; Fiacco, Vicki

doi:10.1016/s0272-6386(99)70073-9

Cited by 59 publications

(56 citation statements)

References 25 publications

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“…2 It has been shown that 50.6% to 58.3% of dialysis patients experience fatigue. 11,12,13 The results of the present study indicated that high levels of fatigue are experienced. Determining patients' level of fatigue and then ensuring that particular activities are planned for patients are clearly important responsibilities for medical professionals.…”

Section: Discussionsupporting

confidence: 48%

Fatigue in People Undergoing Hemodialysis

Mollaoğlu

2009

Dialysis & Transplantation

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AIM: Levels of fatigue as experienced by people undergoing hemodialysis (HD) were assessed using the Visual Analog Scale for Fatigue (VAS-F).METHOD: The VAS-F was completed by 138 people with ESRD who were patients of HD units in Sivas, Turkey. Demographic and renal health history data were also collected with a structured questionnaire. The statistical analyses used in order to evaluate the data include: student's t-test, Kruskal-Wallis test, Pearson correlation test, and logistic regression analysis.RESULTS: The level of fatigue experienced by people with HD in our study was high, and their energy level was low. Univariate analysis showed that levels of fatigue differed by gender, age, education, employment, and presence of anemia. However, logistic regression analysis, age, and duration of dialysis were found to be the independent predictors of fatigue. CONCLUSIONS:The results of the study indicated that high levels of fatigue are experienced. In order to improve patient care and promote patient's quality of life, nephrology professionals should understand the comprehensive assessment of fatigue and work with patients to initiate a range of strategies and interventions to address it.

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Section: Discussionsupporting

confidence: 48%

Fatigue in People Undergoing Hemodialysis

Mollaoğlu

2009

Dialysis & Transplantation

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“…Several factors such as anemia, malnutrition, inadequate dialysis and presence of co-morbid conditions contribute towards this [21][22][23]. We observed a significant decrease in the prevalence of fatigue after increase in the dialysate volume.…”

Section: Discussionmentioning

confidence: 56%

Improvement in uremic symptoms after increasing daily dialysate volume in patients on chronic peritoneal dialysis with declining renal function

et al. 2004

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“…The first questionnaire addressed the first 24-h period after dialysis, and the second, the subsequent day. These questionnaires were prepared specifically for this study and included commonly reported [7,8,9,10] interdialytic symptoms such as fatigue, thirst, muscle cramps, itching, headache, insomnia, and general well being. Patients scored their own questionnaires on a scale of 1 to 5, 1 being the best and 5 the worst, from the options given (Fig.…”

Section: Interdialytic Monitoringmentioning

confidence: 99%

Blood volume monitoring to achieve target weight in pediatric hemodialysis patients

Michael

Brewer

Goldstein

2004

Pediatric Nephrology

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Achieving dry weight during hemodialysis (HD) while minimizing symptoms is critical for optimizing patient outcome by preventing chronic fluid overload, hypertension, and cardiomyopathy. Dry weight changes frequently in children because of growth and development and waxing and waning of appetite. We have previously shown non-invasive hematocrit monitoring (NIVM) helps to decrease intradialytic symptoms, while still achieving target dry weights in children receiving chronic HD. In the current study, we prospectively evaluated an NIVM-guided ultrafiltration (UF) management algorithm to determine target dry weight in nine pediatric patients (mean age 16.6+/-2.8 years, mean weight 41.6+/-11.1 kg). Use of NIVM could potentially lead to overly aggressive UF with increased interdialytic symptoms, post treatment thirst, and interdialytic weight gain (IDWG). To evaluate the effectiveness of our NIVM UF algorithm, we studied the effect of three different NIVM-guided UF models (100%, 90%, and 80% UF models) on intradialytic and interdialytic symptoms, pre-/post-treatment blood pressure (BP), and percentage IDWG. To assess interdialytic symptoms, patients completed two questionnaires, one for each day between treatments. No statistically significant difference was seen between the three UF models with respect to intradialytic or interdialytic symptoms, pre-/post-HD BP, or percentage IDWG. Only one of nine patients received non-ACEI chronic antihypertensive medication, yet all patients had pre- and post-HD BP <95th percentile for age and height. The current study suggests that routine determination of target dry weight using NIVM and aiming for 100% UF helps to achieve the target dry weight, reduces both the risk of chronic fluid overload and the need for antihypertensive medication, and does not lead to increased intra- or interdialytic symptomatology in pediatric patients treated with chronic HD.

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Identification of factors responsible for postdialysis fatigue

Cited by 59 publications

References 25 publications

Fatigue in People Undergoing Hemodialysis

Fatigue in People Undergoing Hemodialysis

Improvement in uremic symptoms after increasing daily dialysate volume in patients on chronic peritoneal dialysis with declining renal function

Blood volume monitoring to achieve target weight in pediatric hemodialysis patients

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