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Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach

Overview of attention for article published in PLOS ONE, September 2017
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

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1 news outlet
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9 X users
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1 Facebook page

Citations

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8 Dimensions

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65 Mendeley
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Title
Prediction of long-term outcomes of HIV-infected patients developing non-AIDS events using a multistate approach
Published in
PLOS ONE, September 2017
DOI 10.1371/journal.pone.0184329
Pubmed ID
Authors

Mar Masiá, Sergio Padilla, Santiago Moreno, Xavier Barber, Jose A. Iribarren, Jorge del Romero, Juan L. Gómez-Sirvent, María Rivero, Francesc Vidal, Antonio A. Campins, Félix Gutiérrez

Abstract

Outcomes of people living with HIV (PLWH) developing non-AIDS events (NAEs) remain poorly defined. We aimed to classify NAEs according to severity, and to describe clinical outcomes and prognostic factors after NAE occurrence using data from CoRIS, a large Spanish HIV cohort from 2004 to 2013. Prospective multicenter cohort study. Using a multistate approach we estimated 3 transition probabilities: from alive and NAE-free to alive and NAE-experienced ("NAE development"); from alive and NAE-experienced to death ("Death after NAE"); and from alive and NAE-free to death ("Death without NAE"). We analyzed the effect of different covariates, including demographic, immunologic and virologic data, on death or NAE development, based on estimates of hazard ratios (HR). We focused on the transition "Death after NAE". 8,789 PLWH were followed-up until death, cohort censoring or loss to follow-up. 792 first incident NAEs occurred in 9.01% PLWH (incidence rate 28.76; 95% confidence interval [CI], 26.80-30.84, per 1000 patient-years). 112 (14.14%) NAE-experienced PLWH and 240 (2.73%) NAE-free PLWH died. Adjusted HR for the transition "Death after NAE" was 12.1 (95%CI, 4.90-29.89). There was a graded increase in the adjusted HRs for mortality according to NAE severity category: HR (95%CI), 4.02 (2.45-6.57) for intermediate-severity; and 9.85 (5.45-17.81) for serious NAEs compared to low-severity NAEs. Male sex (HR 2.04; 95% CI, 1.11-3.84), age>50 years (1.78, 1.08-2.94), hepatitis C-coinfection (2.52, 1.38-4.61), lower CD4 cell count at cohort entry (HR 2.49; 95%CI 1.20-5.14 for CD4 cell count below 200 and HR 2.16; 95%CI 1.01-4.66 for CD4 cell count between 200-350, both compared to CD4 cell count higher than 500) and concomitant CD4<200 cells/mL (2.22, 1.42-3.44) were associated with death after NAE. CD4 count and HIV-1 RNA at engagement, previous AIDS and hepatitis C-coinfection predicted mortality in NAE-free persons. NAEs, including low-severity events, increase prominently the risk for mortality in PLWH. Prognostic factors differ between NAE-experienced and NAE-free persons. These findings should be taken into account in the clinical management of PLWH developing NAEs and may permit more targeted prevention efforts.

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 X users 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 18%
Other 7 11%
Student > Master 6 9%
Student > Postgraduate 4 6%
Student > Doctoral Student 3 5%
Other 13 20%
Unknown 20 31%
Readers by discipline Count As %
Medicine and Dentistry 18 28%
Mathematics 5 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 5%
Social Sciences 2 3%
Nursing and Health Professions 2 3%
Other 7 11%
Unknown 28 43%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 08 June 2018.
All research outputs
#2,106,662
of 23,001,641 outputs
Outputs from PLOS ONE
#26,745
of 196,119 outputs
Outputs of similar age
#42,636
of 316,058 outputs
Outputs of similar age from PLOS ONE
#589
of 3,944 outputs
Altmetric has tracked 23,001,641 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 196,119 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.1. 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 316,058 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 86% of its contemporaries.
We're also able to compare this research output to 3,944 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.