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dc.contributor.authorØsthus, Tone Brit Hortemo
dc.contributor.authorPreljevic, Valjbona
dc.contributor.authorSandvik, Leiv
dc.contributor.authorLeivestad, Torbjørn
dc.contributor.authorNordhus, Inger Hilde
dc.contributor.authorDammen, Toril
dc.contributor.authorOs, Ingrid
dc.date.accessioned2014-07-04T09:10:02Z
dc.date.available2014-07-04T09:10:02Z
dc.date.issued2012-05-06eng
dc.identifier.issn1477-7525
dc.identifier.urihttps://hdl.handle.net/1956/8054
dc.description.abstractBackground: To assess health- related quality of life (HRQOL) with SF-12 and SF-36 and compare their abilities to predict mortality in chronic dialysis patients, after adjusting for traditional risk factors. Methods: The Short-Form Health Survey (SF-36) with the embedded SF-12 was applied in 301 dialysis patients cross-sectionally. Physical and mental component summary (PCS-36, MCS-36, PCS-12, and MCS-12) scores were calculated. Clinical and demographic data were collected. Mortality (followed for up to 4.5 years) was analyzed with Kaplan Meier plots and Cox proportional hazards, after censoring for renal transplantation. Exclusion factors were observation time < 2 months (n = 21) and missing component summary scores (n = 10 for SF-36; n= 28 for SF-12), thus 252 patient were included in the analyses. Results: In 252 patients (60.2 ± 15.5 years, 65.9% males, dialysis vintage 9.0, IQR 5.0-23.0 months), mortality during follow-up was 33.7%.(85 deaths). Significant correlations were observed between PCS-36 and PCS-12 (ρ = 0.93, p < 0.001) and between MCS-36 and MCS-12 (ρ = 0.95, p < 0.001). Mortality rate was highest in patients in the lowest quartile of PCS-12 (χ2 = 15.3, p = 0.002) and PCS-36 (χ2 = 16.7, p = 0.001). MCS was not associated with mortality. Adjusted hazard ratios for mortality were 2.5 (95% CI 1.0-6.3, PCS-12) and 2.7 (1.1–6.4, PCS-36) for the lowest compared with the highest (“best perceived”) quartile of PCS. Conclusion: Compromised HRQOL is an independent predictor of poor outcome in dialysis patients. The SF-12 provided similar predictions of mortality as SF-36, and may serve as an applicable clinical tool because it requires less time to complete.en_US
dc.language.isoengeng
dc.publisherBioMed Centraleng
dc.rightsAttribution CC BYeng
dc.rights.urihttp://creativecommons.org/licenses/by/2.0eng
dc.subjectChronic kidney diseaseeng
dc.subjectDialysiseng
dc.subjectHealth-related quality of lifeeng
dc.subjectMortalityeng
dc.subjectPhysical component summary scoreeng
dc.subjectSF-12 and SF-36eng
dc.titleMortality and health-related quality of life in prevalent dialysis patients: Comparison between 12-items and 36-items short-form health surveyeng
dc.typePeer reviewed
dc.typeJournal article
dc.date.updated2013-08-23T09:19:56Z
dc.description.versionpublishedVersion
dc.description.versionPeer Reviewed
dc.rights.holderCopyright 2012 Østhus et al.; licensee BioMed Central Ltd.
dc.rights.holderTone Brit Østhus et al.; licensee BioMed Central Ltd.eng
dc.source.articlenumber46
dc.identifier.doihttps://doi.org/10.1186/1477-7525-10-46
dc.identifier.cristin964595
dc.source.journalHealth and Quality of Life Outcomes
dc.source.4010


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