Mortality and health-related quality of life in prevalent dialysis patients: Comparison between 12-items and 36-items short-form health survey

Østhus, Tone Brit Hortemo; Preljevic, Valjbona; Sandvik, Leiv; Leivestad, Torbjørn; Nordhus, Inger Hilde; Dammen, Toril; Os, Ingrid

doi:10.1186/1477-7525-10-46

Cited by 68 publications

(55 citation statements)

References 29 publications

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“…Lower PCS are associated with increased mortality in MHD patients (9). There has been a paucity of data on the associations of body composition, a potentially modifiable factor, with QOL in MHD patients.…”

Section: Discussionmentioning

confidence: 99%

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Associations of Body Size and Body Composition with Functional Ability and Quality of Life in Hemodialysis Patients

Martinson

İkizler

Morrell

et al. 2014

Clinical Journal of the American Society of Nephrology

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Background and objectives Modifiable factors, such as body size and body composition, could influence physical function and quality of life in patients undergoing maintenance hemodialysis (MHD).Design, setting, participants, & measurements From January 2008 to June 2012, in body mass index (BMI), waist circumference (WC), and magnetic resonance imaging measurements of midthigh muscle area (MTMA) and intra-abdominal fat area (IAFA) were obtained at baseline in 105 MHD patients. Six-minute walk distances and physical and mental component scores (PCS and MCS) from the Short Form-12 questionnaire were obtained at baseline and 6 and 12 months. Separate mixed-effects regression models were used to relate baseline BMI, WC, and IAFA with baseline and the average of follow-up 6-minute walk distances and PCS and MCS after adjustment for baseline covariates and MTMA.Results for baseline covariates and baseline MTMA, each SD increase in baseline BMI was inversely associated with baseline (231.5 m; 95% confidence interval [95% CI], 253.0 to 210.0 m) and follow-up (236.9 m; 95% CI, 254.6 to 219.2 m) 6-minute walk distances. Results were similar for WC and IAFA. In each of these models, each SD increase in MTMA had a strong positive association with 6-minute walk distance. Adiposity measures were not associated with baseline or follow-up PCS and MCS. After adjustment for baseline BMI, each SD increase in baseline MTMA was associated with higher baseline PCS score (3.78; 95% CI, 0.73 to 6.82) and MCS (3.75; 95% CI, 0.44 to 7.05) but had weaker associations with follow-up PCS and MCS.Conclusions Body size and composition are significantly associated with physical functioning and quality of life. Interventions that improve muscle mass and decrease obesity might improve these measures in patients undergoing MHD.

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Section: Discussionmentioning

confidence: 99%

“…Healthrelated quality of life (QOL) as evaluated by validated self-reported questionnaires is also markedly diminished in this population (9). Identification of reversible factors that are associated with poor physical function and QOL in MHD patients may provide targets for therapeutic interventions.…”

Section: Introductionmentioning

confidence: 99%

Associations of Body Size and Body Composition with Functional Ability and Quality of Life in Hemodialysis Patients

Martinson

İkizler

Morrell

et al. 2014

Clinical Journal of the American Society of Nephrology

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“…HRQOL represents the impact of the disease or its treatment on the subjective feelings of patients about their physical, mental, spiritual, emotional, social and functional wellbeing [17]. HRQOL deteriorates as kidney function worsens [18] and is an independent risk factor for mortality in dialysis patients [19]. The Kidney Disease Quality of Life (KDQOL) questionnaire [20] has been validated for use as a disease-specific measure of quality of life.…”

Section: Introductionmentioning

confidence: 99%

Quality of life in patients on chronic dialysis in South Africa: a comparative mixed methods study

et al. 2017

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BackgroundThe increasing prevalence of treated end-stage renal disease and low transplant rates in Africa leads to longer durations on dialysis. Dialysis should not only be aimed at prolonging lives but also improve quality of life (QOL). Using mixed methods, we investigated the QOL of patients on chronic haemodialysis (HD) and peritoneal dialysis (PD).MethodsWe conducted a cross-sectional study at Tygerberg Hospital in Cape Town, South Africa. All the PD patients were being treated with continuous ambulatory peritoneal dialysis. The KDQOL-SF 1.3 questionnaire was used for the quantitative phase of the study. Thereafter, focus-group interviews were conducted by an experienced facilitator in groups of HD and PD patients. Electronic recordings were transcribed verbatim and analysed manually to identify emerging themes.ResultsA total of 106 patients completed questionnaires and 36 of them participated in the focus group interviews. There was no difference between PD and HD patients in the overall KDQOL-SF scores. PD patients scored lower with regard to symptoms (P = 0.005), energy/fatigue (P = 0.025) and sleep (P = 0.023) but scored higher for work status (P = 0.005) and dialysis staff encouragement (P = 0.019) than those on HD. Symptoms and complications were verbalised more in the PD patients, with fear of peritonitis keeping some housebound. PD patients were more limited by their treatment modality which impacted on body image, sexual function and social interaction but there were less dietary and occupational limitations. Patients on each modality acknowledged the support received from family and dialysis staff but highlighted the lack of support from government. PD patients had little opportunity for interaction with one another and therefore enjoyed less support from fellow patients.ConclusionsPD patients experienced a heavier symptom burden and greater limitations related to their dialysis modality, especially with regards to social functioning. The mixed-methods approach helped to identify several issues affecting quality of life which are amenable to intervention.Electronic supplementary materialThe online version of this article (doi:10.1186/s12882-016-0425-1) contains supplementary material, which is available to authorized users.

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“…The SF-12 is a shortened version derived from the Medical Outcomes Study 36-Item Short-Form Health Survey (SF-36) to represent the Physical and Mental Component Summary in the general US population [15]. The SF-12 has fewer items, takes less time to complete, and was shown to give similar predictions of mortality as the SF-36 in CKD-D patients [20]. The SF-12 Vitality Scale (item 10) was used to ascertain fatigue, with a Likert score range of 1-6, and higher scores representing more fatigue (online suppl.…”

Section: Assessment Of Fatiguementioning

confidence: 99%

Fatigue in Nondialysis Chronic Kidney Disease: Correlates and Association with Kidney Outcomes

et al. 2019

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Background: Fatigue, although common and associated with outcomes in dialysis-dependent chronic kidney disease (CKD), has not been studied in nondialysis chronic kidney disease (CKD-ND) patients. Methods: In this longitudinal cohort of 266 outpatients with CKD-ND stages 2–5, we measured self-reported fatigue on 3 scales-Quick Inventory of Depression Symptomatology-Self Report (QIDS-SR₁₆), Beck Depression Inventory-I (BDI-I), and short form 12 health survey (SF-12) questionnaires and evaluated the prespecified composite of progression to dialysis initiation, death, or hospitalization after 12 months. Logistic and linear regression assessed characteristics associated with fatigue. Survival analysis measured associations of fatigue with outcomes. Results: Mean age was 64.4 ± 12.0 years, and mean estimated glomerular filtration rate (eGFR) was 31.6 ± 16.7 mL/min/1.73 m². Fatigue was common, with 69.2% reporting fatigue on QIDS-SR₁₆ and 77.7% on BDI-I. Unemployment, comorbidities, use of antidepressant medications, and lower hemoglobin correlated with fatigue. There were 126 outcome events. Participants that reported any versus no fatigue on QIDS-SR₁₆ were more likely to reach the composite, hazard ratio (HR) 1.70 (95% CI 1.11–2.59), which persisted after adjusting for demographics, comorbidities, substance abuse, hemoglobin, albumin, eGFR, and calcium-phosphorus product, HR 1.63 (1.05–2.55). Fatigue severity by the SF-12 was also associated with outcomes independent of demographics, comorbidities, and substance abuse, HR per unit increase 1.18 (1.03–1.35). No association was observed with fatigue on the BDI-I. Conclusion: Fatigue affected about 2/3 of CKD-ND patients and associated with unemployment, comorbidities, antidepressant medication use, and anemia. Fatigue measured by the QIDS-SR₁₆ and SF-12 independently predicted outcomes in CKD patients. Eliciting the presence of fatigue may be a clinically significant prognostic assessment in CKD patients.

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Mortality and health-related quality of life in prevalent dialysis patients: Comparison between 12-items and 36-items short-form health survey

Cited by 68 publications

References 29 publications

Associations of Body Size and Body Composition with Functional Ability and Quality of Life in Hemodialysis Patients

Associations of Body Size and Body Composition with Functional Ability and Quality of Life in Hemodialysis Patients

Quality of life in patients on chronic dialysis in South Africa: a comparative mixed methods study

Fatigue in Nondialysis Chronic Kidney Disease: Correlates and Association with Kidney Outcomes

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