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Lower health-related quality of life predicts all-cause hospitalization among HIV-infected individuals

Overview of attention for article published in Health and Quality of Life Outcomes, May 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)

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1 Redditor

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17 Dimensions

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Title
Lower health-related quality of life predicts all-cause hospitalization among HIV-infected individuals
Published in
Health and Quality of Life Outcomes, May 2018
DOI 10.1186/s12955-018-0931-x
Pubmed ID
Authors

Leonard Emuren, Seth Welles, Marcia Polansky, Alison A. Evans, Grace Macalino, Brian K. Agan, Infectious Disease Clinical Research Program HIV Working Group

Abstract

Health-related quality of life (HRQOL) is a patient-centered outcome measure used in assessing the individual's overall functional health status but studies looking at HRQOL as a predictive tool are few. This work examines whether summary scores of HRQOL are predictive of all-cause hospitalization in the US Military HIV Natural History Study (NHS) cohort. The Short Form 36 (SF-36) was administered between 2006 and 2010 to 1711 NHS cohort members whose hospitalization records we had also obtained. Physical component summary scores (PCSS) and mental component summary scores (MCSS) were computed based on standard algorithms. Terciles of PCSS and MCSS were generated with the upper terciles (higher HRQOL) as referent groups. Proportional hazards multivariate regression models were used to estimate the hazard of hospitalization for PCSS and MCSS separately (models 1 and 2, respectively) and combined (model 3). The hazard ratios (HR) of hospitalization were respectively 2.12 times (95% CI: 1.59-2.84) and 1.59 times (95% CI: 1.19-2.14) higher for the lower and middle terciles compared to the upper PCSS tercile. The HR of hospitalization was 1.33 times (95% CI: 1.02-1.73) higher for the lower compared to the upper MCSS tercile. Other predictors of hospitalization were CD4 count < 200 cells/mm3 (HR = 2.84, 95% CI: 1.96, 4.12), CD4 count 200-349 cells/mm3 (HR = 1.67, 95% CI: 1.24, 2.26), CD4 count 350-499 cells/mm3 (HR = 1.41, 95% CI: 1.09, 1.83), plasma viral load > 50 copies/mL (HR = 1.82, 95% CI: 1.46, 2.26), and yearly increment in duration of HIV infection (HR = 0.94, 95% CI: 0.93, 0.96) (model 3). After controlling for factors associated with hospitalization among those with HIV, both PCSS and MCSS were predictive of all-cause hospitalization in the NHS cohort. HRQOL assessment using the SF-36 may be useful in stratifying hospitalization risk among HIV-infected populations.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 61 100%

Demographic breakdown

Readers by professional status Count As %
Other 7 11%
Student > Ph. D. Student 4 7%
Professor > Associate Professor 4 7%
Student > Doctoral Student 3 5%
Student > Postgraduate 3 5%
Other 10 16%
Unknown 30 49%
Readers by discipline Count As %
Medicine and Dentistry 8 13%
Nursing and Health Professions 8 13%
Psychology 5 8%
Agricultural and Biological Sciences 2 3%
Neuroscience 2 3%
Other 4 7%
Unknown 32 52%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 30 May 2018.
All research outputs
#3,979,701
of 23,081,466 outputs
Outputs from Health and Quality of Life Outcomes
#398
of 2,187 outputs
Outputs of similar age
#77,767
of 331,094 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#36
of 75 outputs
Altmetric has tracked 23,081,466 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done well, scoring higher than 77% 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 331,094 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 76% of its contemporaries.
We're also able to compare this research output to 75 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.