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Do patient-reported measures of symptoms and health status predict mortality in hemodialysis? An assessment of POS-S Renal and EQ-5D

Overview of attention for article published in Hemodialysis International, May 2016
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  • Above-average Attention Score compared to outputs of the same age (55th percentile)
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Mentioned by

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3 tweeters

Citations

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11 Dimensions

Readers on

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31 Mendeley
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Title
Do patient-reported measures of symptoms and health status predict mortality in hemodialysis? An assessment of POS-S Renal and EQ-5D
Published in
Hemodialysis International, May 2016
DOI 10.1111/hdi.12415
Pubmed ID
Authors

Sexton, Donal J, Lowney, Aoife C, O'Seaghdha, Conall M, Murphy, Marie, O'Brien, Tony, Casserly, Liam F, McQuillan, Regina, Plant, William D, Eustace, Joseph A, Kinsella, Sinead M, Conlon, Peter J

Abstract

Introduction Experience with the use of patient-reported outcome measures such as EQ-5D and the symptom module of the Palliative care Outcome Scale-Renal Version (POS-S Renal) as mortality prediction tools in hemodialysis is limited. Methods A prospective survival study of people receiving hemodialysis (N = 362). The EQ-5D and the POS-S Renal were used to assess symptom burden and self-rated health (with a self-rated component). Participants were followed from instrument completion to death or study end. Competing risks survival analysis was used to evaluate associations with time to death, with renal transplant as a competing risk. Findings 32% (N = 116) of participants died over a median (25th-75th centile) of 2.6 (1.41-3.38) years. Factors most notably associated with mortality adjusted hazard ratio (95%CI) included: lower EQ VAS score 2.7 (1.4, 5.2) P = 0.004 (lowest tertile), higher POS-S Renal score 2.4 (1.3, 4.3) P = 0.004 (highest tertile), and lower EQ-5D score 2.6 (1.3, 5.3) P = 0.01 (lowest tertile) as well as the presence of: "problems with mobility?" 2 (1.1, 3.3) P = 0.01, or "problems with usual activities?" 2.1 (1.4, 3.3), P < 0.001. After age adjustment area under the receiver operating curves (AUC) (95%CI) for mortality were: 0.71 (0.62, 0.79) for EQ VAS score, 0.71 (0.63, 0.80) for POS-S Renal-S Renal score, and 0.76 (0.68, 0.84) for EQ-5D score. AUC 95%CI was highest for our fourth model at 0.79 (0.72, 0.86) comprised of individual elements from both instruments and established risk factors. Discussion EQ VAS scores and predictive models based on combinations of elements from the POS-S Renal and EQ-5D instruments may aid in mortality discrimination and possibly in the delivery of supportive care services.

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 31 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 23%
Researcher 5 16%
Student > Postgraduate 4 13%
Other 4 13%
Student > Ph. D. Student 4 13%
Other 4 13%
Unknown 3 10%
Readers by discipline Count As %
Medicine and Dentistry 16 52%
Nursing and Health Professions 3 10%
Computer Science 2 6%
Social Sciences 2 6%
Economics, Econometrics and Finance 1 3%
Other 2 6%
Unknown 5 16%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 June 2016.
All research outputs
#7,808,833
of 14,138,707 outputs
Outputs from Hemodialysis International
#164
of 397 outputs
Outputs of similar age
#114,607
of 265,393 outputs
Outputs of similar age from Hemodialysis International
#5
of 10 outputs
Altmetric has tracked 14,138,707 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 397 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 56% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 265,393 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 10 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.