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Change in quality of life and one-year mortality risk in maintenance dialysis patients

Overview of attention for article published in Quality of Life Research, March 2016
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Title
Change in quality of life and one-year mortality risk in maintenance dialysis patients
Published in
Quality of Life Research, March 2016
DOI 10.1007/s11136-016-1257-y
Pubmed ID
Authors

Scott Liebman, Nien-Chen Li, Eduardo Lacson

Abstract

Quality of life (QOL) is an important metric of high-quality dialysis care. QOL is commonly measured by the Short Form 36 Questionnaire (SF-36), which provides two summary scores: a mental component score (MCS) and a physical component score (PCS). Poor QOL is associated with mortality in dialysis patients. Small studies show that changes in QOL also predicts mortality. We investigated whether changes in QOL over time are associated with mortality in a large cohort of maintenance hemodialysis patients. This retrospective study was conducted in 1017 outpatient dialysis facilities. Over 10,000 hemodialysis patients completed two SF-36 surveys. We compared 1-year morality rates in those whose MCS or PCS increased or decreased ±5 vs. those whose did not. For those who completed two surveys, mean score for PCS was unchanged, whereas MCS increased slightly (48.6 vs. 48.9, p = 0.05). Individual patients, however, showed marked variation. On the second survey, more than half of patients demonstrated a ± 5 point change in the PCS and/or MCS. After multivariate adjustment, a ≥ 5 decrease in MCS was associated with an increase in mortality (HR = 1.33, 95 % CI 1.18, 1.50). Clinicians should be aware that many patients experience a significant change in both the MCS and PCS on dialysis. A MCS decrease of ≥5 was associated with increased mortality. More study is needed to determine whether this is a causal relationship. Physicians should evaluate root causes and seek to mitigate declines in QOL whenever possible.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 43 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 14%
Student > Master 4 9%
Researcher 3 7%
Student > Doctoral Student 3 7%
Student > Postgraduate 3 7%
Other 9 21%
Unknown 15 35%
Readers by discipline Count As %
Nursing and Health Professions 9 21%
Medicine and Dentistry 6 14%
Psychology 6 14%
Agricultural and Biological Sciences 2 5%
Social Sciences 2 5%
Other 4 9%
Unknown 14 33%