Literature DB >> 12787427

Health-related quality of life as a predictor of mortality and hospitalization: the Dialysis Outcomes and Practice Patterns Study (DOPPS).

Donna L Mapes1, Antonio Alberto Lopes, Sudtida Satayathum, Keith P McCullough, David A Goodkin, Francesco Locatelli, Shunichi Fukuhara, Eric W Young, Kiyoshi Kurokawa, Akira Saito, Jürgen Bommer, Robert A Wolfe, Philip J Held, Friedrich K Port.   

Abstract

BACKGROUND: We investigated whether indicators of health-related quality of life (HRQOL) may predict the risk of death and hospitalization among hemodialysis patients treated in seven countries, taking into account serum albumin concentration and several other risk factors for death and hospitalization. We also compared HRQOL measures with serum albumin regarding their power to predict outcomes.
METHODS: We analyzed data from the Dialysis Outcomes and Practice Patterns Study (DOPPS), an international, prospective, observational study of randomly selected hemodialysis patients in the United States (148 facilities), five European countries (101 facilities), and Japan (65 facilities). The total sample size was composed of 17,236 patients. Using the Kidney Disease Quality of Life Short Form (KDQOL-SFTM), we determined scores for three components of HRQOL: (1) physical component summary (PCS), (2) mental component summary (MCS), and (3) kidney disease component summary (KDCS). Complete responses on HRQOL measures were obtained from 10,030 patients. Cox models were used to assess associations between HRQOL and the risk of death and hospitalization, adjusted for multiple sociodemographic variables, comorbidities, and laboratory factors.
RESULTS: For patients in the lowest quintile of PCS, the adjusted risk (RR) of death was 93% higher (RR = 1.93, P < 0.001) and the risk of hospitalization was 56% higher (RR = 1.56, P < 0.001) than it was for patients in the highest quintile level. The adjusted relative risk values of mortality per 10-point lower HRQOL score were 1.13 for MCS, 1.25 for PCS, and 1.11 for KDCS. The corresponding adjusted values for RR for first hospitalization were 1.06 for MCS, 1.15 for PCS, and 1.07 for KDCS. Each RR differed significantly from 1 (P < 0.001). For 1 g/dL lower serum albumin concentration, the RR of death adjusted for PCS, MCS, and KDCS and the other covariates was 1.17 (P < 0.01). Albumin was not significantly associated with hospitalization (RR = 1.03, P> 0.5).
CONCLUSION: Lower scores for the three major components of HRQOL were strongly associated with higher risk of death and hospitalization in hemodialysis patients, independent of a series of demographic and comorbid factors. A 10-point lower PCS score was associated with higher elevation in the adjusted mortality risk, as was a 1 g/dL lower serum albumin level. More research is needed to assess whether interventions to improve quality of life lower these risks among hemodialysis patients.

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Year:  2003        PMID: 12787427     DOI: 10.1046/j.1523-1755.2003.00072.x

Source DB:  PubMed          Journal:  Kidney Int        ISSN: 0085-2538            Impact factor:   10.612


  228 in total

1.  Physical function at the time of dialysis initiation is associated with subsequent mortality.

Authors:  Daijo Inaguma; Akihito Tanaka; Hibiki Shinjo
Journal:  Clin Exp Nephrol       Date:  2016-07-08       Impact factor: 2.801

2.  Health-related quality of life associated with risk of death in Brazilian dialysis patients: an eight-year cohort.

Authors:  Mariana Araújo Pena Bastos; Ilka Afonso Reis; Mariângela Leal Cherchiglia
Journal:  Qual Life Res       Date:  2021-01-16       Impact factor: 4.147

3.  Health-related quality of life as a predictor of mortality among survivors of AKI.

Authors:  Vilija R Joyce; Mark W Smith; Kirsten L Johansen; Mark L Unruh; Andrew M Siroka; Theresa Z O'Connor; Paul M Palevsky
Journal:  Clin J Am Soc Nephrol       Date:  2012-05-17       Impact factor: 8.237

4.  Changes in Quality of Life in Older Hemodialysis Patients: A Cohort Study on Dialysis Outcomes and Practice Patterns.

Authors:  Ayumi Ishiwatari; Shungo Yamamoto; Shingo Fukuma; Takeshi Hasegawa; Sachiko Wakai; Masaomi Nangaku
Journal:  Am J Nephrol       Date:  2020-07-31       Impact factor: 3.754

Review 5.  Anxiety in Patients Treated with Hemodialysis.

Authors:  Scott D Cohen; Daniel Cukor; Paul L Kimmel
Journal:  Clin J Am Soc Nephrol       Date:  2016-09-22       Impact factor: 8.237

6.  Association of Malnutrition-Inflammation Score with quality of life and mortality in hemodialysis patients: a 5-year prospective cohort study.

Authors:  Mehdi Rambod; Rachelle Bross; Jennifer Zitterkoph; Deborah Benner; Juhi Pithia; Sara Colman; Csaba P Kovesdy; Joel D Kopple; Kamyar Kalantar-Zadeh
Journal:  Am J Kidney Dis       Date:  2008-12-13       Impact factor: 8.860

7.  Recovery time, quality of life, and mortality in hemodialysis patients: the Dialysis Outcomes and Practice Patterns Study (DOPPS).

Authors:  Hugh C Rayner; Lindsay Zepel; Douglas S Fuller; Hal Morgenstern; Angelo Karaboyas; Bruce F Culleton; Donna L Mapes; Antonio A Lopes; Brenda W Gillespie; Takeshi Hasegawa; Rajiv Saran; Francesca Tentori; Manfred Hecking; Ronald L Pisoni; Bruce M Robinson
Journal:  Am J Kidney Dis       Date:  2014-02-14       Impact factor: 8.860

Review 8.  Assessing and improving the health-related quality of life of patients with ESRD.

Authors:  Fredric O Finkelstein; Kelli L Arsenault; Ana Taveras; Kwabena Awuah; Susan H Finkelstein
Journal:  Nat Rev Nephrol       Date:  2012-10-23       Impact factor: 28.314

9.  A comparison of SF-36 and SF-12 composite scores and subsequent hospitalization and mortality risks in long-term dialysis patients.

Authors:  Eduardo Lacson; Jianglin Xu; Shu-Fang Lin; Sandie Guerra Dean; J Michael Lazarus; Raymond M Hakim
Journal:  Clin J Am Soc Nephrol       Date:  2009-12-17       Impact factor: 8.237

10.  Treatment of depression and poor mental health among patients receiving maintenance dialysis: are there options other than a pill or a couch?

Authors:  Michael J Fischer; Anna C Porter; James P Lash
Journal:  Am J Kidney Dis       Date:  2013-05       Impact factor: 8.860

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