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Prevalence and effect of pre-treatment drug resistance on the virological response to antiretroviral treatment initiated in HIV-infected children – a EuroCoord-CHAIN-EPPICC joint project

Overview of attention for article published in BMC Infectious Diseases, November 2016
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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 (74th percentile)
  • Good Attention Score compared to outputs of the same age and source (78th percentile)

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Title
Prevalence and effect of pre-treatment drug resistance on the virological response to antiretroviral treatment initiated in HIV-infected children – a EuroCoord-CHAIN-EPPICC joint project
Published in
BMC Infectious Diseases, November 2016
DOI 10.1186/s12879-016-1968-2
Pubmed ID
Authors

Nicole Ngo-Giang-Huong, Linda Wittkop, Ali Judd, Peter Reiss, Tessa Goetghebuer, Dan Duiculescu, Antoni Noguera-Julian, Magdalena Marczynska, Carlo Giacquinto, Luminita Ene, Jose T. Ramos, Cristina Cellerai, Thomas Klimkait, Benedicte Brichard, Niels Valerius, Caroline Sabin, Ramon Teira, Niels Obel, Christoph Stephan, Stéphane de Wit, Claire Thorne, Diana Gibb, Christine Schwimmer, Maria Athena Campbell, Deenan Pillay, Marc Lallemant, The EuroCoord-CHAIN-EPPICC joint project study group

Abstract

Few studies have evaluated the impact of pre-treatment drug resistance (PDR) on response to combination antiretroviral treatment (cART) in children. The objective of this joint EuroCoord-CHAIN-EPPICC/PENTA project was to assess the prevalence of PDR mutations and their association with virological outcome in the first year of cART in children. HIV-infected children <18 years initiating cART between 1998 and 2008 were included if having at least one genotypic resistance test prior to cART initiation. We used the World Health Organization 2009 resistance mutation list and Stanford algorithm to infer resistance to prescribed drugs. Time to virological failure (VF) was defined as the first of two consecutive HIV-RNA > 500 copies/mL after 6 months cART and was assessed by Cox proportional hazards models. All models were adjusted for baseline demographic, clinical, immunology and virology characteristics and calendar period of cART start and initial cART regimen. Of 476 children, 88 % were vertically infected. At cART initiation, median (interquartile range) age was 6.6 years (2.1-10.1), CD4 cell count 297 cells/mm(3) (98-639), and HIV-RNA 5.2 log10copies/mL (4.7-5.7). Of 37 children (7.8 %, 95 % confidence interval (CI), 5.5-10.6) harboring a virus with ≥1 PDR mutations, 30 children had a virus resistant to ≥1 of the prescribed drugs. Overall, the cumulative Kaplan-Meier estimate for virological failure was 19.8 % (95 %CI, 16.4-23.9). Cumulative risk for VF tended to be higher among children harboring a virus with PDR and resistant to ≥1 drug prescribed than among those receiving fully active cART: 32.1 % (17.2-54.8) versus 19.4 % (15.9-23.6) (P = 0.095). In multivariable analysis, age was associated with a higher risk of VF with a 12 % reduced risk per additional year (HR 0.88; 95 %CI, 0.82-0.95; P < 0.001). PDR was not significantly associated with a higher risk of VF in children in the first year of cART. The risk of VF decreased by 12 % per additional year at treatment initiation which may be due to fading of PDR mutations over time. Lack of appropriate formulations, in particular for the younger age group, may be an important determinant of virological failure.

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X Demographics

The data shown below were collected from the profiles of 12 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 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 26%
Student > Ph. D. Student 7 15%
Researcher 5 11%
Student > Bachelor 4 9%
Librarian 3 7%
Other 6 13%
Unknown 9 20%
Readers by discipline Count As %
Medicine and Dentistry 11 24%
Nursing and Health Professions 6 13%
Agricultural and Biological Sciences 5 11%
Biochemistry, Genetics and Molecular Biology 3 7%
Immunology and Microbiology 2 4%
Other 6 13%
Unknown 13 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 February 2017.
All research outputs
#5,125,112
of 24,677,985 outputs
Outputs from BMC Infectious Diseases
#1,723
of 8,275 outputs
Outputs of similar age
#79,903
of 318,777 outputs
Outputs of similar age from BMC Infectious Diseases
#47
of 219 outputs
Altmetric has tracked 24,677,985 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,275 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 79% 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 318,777 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 74% of its contemporaries.
We're also able to compare this research output to 219 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.