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Association between changes in quality of life and mortality in hemodialysis patients: results from the DOPPS.
Perl, Jeffrey; Karaboyas, Angelo; Morgenstern, Hal; Sen, Ananda; Rayner, Hugh C; Vanholder, Raymond C; Combe, Christian; Hasegawa, Takeshi; Finkelstein, Fredric O; Lopes, Antonio A; Robinson, Bruce M; Pisoni, Ronald L; Tentori, Francesca.
Afiliação
  • Perl J; Division of Nephrology, St Michael's Hospital, University of Toronto, Toronto, ON, Canada.
  • Karaboyas A; Arbor Research Collaborative for Health, Ann Arbor, MI, USA.
  • Morgenstern H; Arbor Research Collaborative for Health, Ann Arbor, MI, USA.
  • Sen A; Departments of Epidemiology and Environmental Health Sciences, School of Public Health, and Department of Urology, Medical School, University of Michigan, Ann Arbor, MI, USA.
  • Rayner HC; Department of Biostatistics and Department of Family Medicine, University of Michigan, Ann Arbor, MI, USA.
  • Vanholder RC; Heart of England NHS Foundation Trust, Birmingham, UK.
  • Combe C; University Hospital, Ghent, Belgium.
  • Hasegawa T; Centre Hospitalier Universitaire de Bordeaux and Université de Bordeaux, Bordeaux, France.
  • Finkelstein FO; Department of Innovative Research and Education for Clinicians and Trainees, Fukushima Medical University Hospital, Fukushima, Japan.
  • Lopes AA; Division of Nephrology, Showa University Fujigaoka Hospital, Yokohama, Japan.
  • Robinson BM; Hospital of St Raphael, Yale University, New Haven, CT, USA.
  • Pisoni RL; Faculdade de Medicina da Bahia, Universidade Federal da Bahia, Salvador, BA, Brazil.
  • Tentori F; Arbor Research Collaborative for Health, Ann Arbor, MI, USA.
Nephrol Dial Transplant ; 32(3): 521-527, 2017 03 01.
Article em En | MEDLINE | ID: mdl-27270292
ABSTRACT

Background:

Cross-sectional health-related quality of life (HR-QOL) measures are associated with mortality in hemodialysis (HD) patients. The impact of changes in HR-QOL on outcomes remains unclear. We describe the association of prior changes in HR-QOL with subsequent mortality among HD patients.

Methods:

A total of 13 784 patients in the Dialysis Outcomes and Practice Patterns Study had more than one measurement of HR-QOL. The impact of changes between two measurements of the physical (PCS) and mental (MCS) component summary scores of the SF-12 on mortality was estimated with Cox regression.

Results:

Mean age was 62 years (standard deviation 14 years); 59% were male and 32% diabetic. Median time between HR-QOL measurements was 12 months [interquartile range (IQR) 11, 14]. Median initial PCS and MCS scores were 37.5 (IQR 29.4, 46.2) and 46.4 (IQR 37.2, 54.9); median changes in PCS and MCS scores were -0.2 (IQR -5.5, 4.7) and -0.1 (IQR -6.8, 5.9), respectively. The adjusted hazard ratio (HR) for a 5-point decline in HR-QOL score was 1.09 [95% confidence interval (CI) 1.06-1.12] for PCS and 1.05 (95% CI 1.03-1.08) for MCS. Adjusting for the second QOL score, the change was not associated with mortality HR = 1.01 (95% CI 0.98-1.05) for delta PCS and 1.01 (95% CI 0.98-1.03) for delta MCS. Categorizing the first and second scores as predictors, only the second PCS or MCS score was associated with mortality.

Conclusions:

In our study, only the most recent HR-QOL score was associated with mortality. Hence, the predictive power of a measurement of HR-QOL is not affected by changes in HR-QOL prior to that measurement; more frequent HR-QOL measurements are needed to improve the prediction of outcomes in HD. Further studies are needed to determine the optimal frequency and appropriate instrument to be used for serial measurements.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Mortalidade / Diálise Renal / Falência Renal Crônica Idioma: En Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Qualidade de Vida / Mortalidade / Diálise Renal / Falência Renal Crônica Idioma: En Ano de publicação: 2017 Tipo de documento: Article País de afiliação: Canadá