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Independent predictors of tuberculosis mortality in a high HIV prevalence setting: a retrospective cohort study

Overview of attention for article published in AIDS Research and Therapy, October 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)

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Title
Independent predictors of tuberculosis mortality in a high HIV prevalence setting: a retrospective cohort study
Published in
AIDS Research and Therapy, October 2015
DOI 10.1186/s12981-015-0076-5
Pubmed ID
Authors

Dominique J. Pepper, Michael Schomaker, Robert J. Wilkinson, Virginia de Azevedo, Gary Maartens

Abstract

Identifying those at increased risk of death during TB treatment is a priority in resource-constrained settings. We performed this study to determine predictors of mortality during TB treatment. We performed a retrospective analysis of a TB surveillance population in a high HIV prevalence area that was recorded in ETR.net (Electronic Tuberculosis Register). Adult TB cases initiated TB treatment from 2007 through 2009 in Khayelitsha, South Africa. Cox proportional hazards models were used to identify risk factors for death (after multiple imputations for missing data). Model selection was performed using Akaike's Information Criterion to obtain the most relevant predictors of death. Of 16,209 adult TB cases, 851 (5.3 %) died during TB treatment. In all TB cases, advancing age, co-infection with HIV, a prior history of TB and the presence of both pulmonary and extra-pulmonary TB were independently associated with an increasing hazard of death. In HIV-infected TB cases, advancing age and female gender were independently associated with an increasing hazard of death. Increasing CD4 counts and antiretroviral treatment during TB treatment were protective against death. In HIV-uninfected TB cases, advancing age was independently associated with death, whereas smear-positive disease was protective. We identified several independent predictors of death during TB treatment in resource-constrained settings. Our findings inform resource-constrained settings about certain subgroups of TB patients that should be targeted to improve mortality during TB treatment.

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X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 <1%
Unknown 110 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 21%
Researcher 16 14%
Student > Postgraduate 10 9%
Student > Ph. D. Student 10 9%
Student > Bachelor 7 6%
Other 18 16%
Unknown 27 24%
Readers by discipline Count As %
Medicine and Dentistry 39 35%
Nursing and Health Professions 16 14%
Social Sciences 5 5%
Immunology and Microbiology 4 4%
Environmental Science 3 3%
Other 12 11%
Unknown 32 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 05 November 2015.
All research outputs
#3,287,199
of 23,310,485 outputs
Outputs from AIDS Research and Therapy
#79
of 574 outputs
Outputs of similar age
#46,736
of 279,088 outputs
Outputs of similar age from AIDS Research and Therapy
#8
of 9 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 574 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 86% 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 279,088 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 82% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one.