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Usefulness of Integrase resistance testing in proviral HIV-1 DNA in patients with Raltegravir prior failure

Overview of attention for article published in BMC Infectious Diseases, May 2016
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Title
Usefulness of Integrase resistance testing in proviral HIV-1 DNA in patients with Raltegravir prior failure
Published in
BMC Infectious Diseases, May 2016
DOI 10.1186/s12879-016-1545-8
Pubmed ID
Authors

Jose Ángel Fernández-Caballero, Natalia Chueca, Marta Álvarez, María Dolores Mérida, Josefa López, José Antonio Sánchez, David Vinuesa, María Ángeles Martínez, José Hernández, Federico García

Abstract

In our study, we have hypothesized that proviral DNA may show the history of mutations that emerged at previous failures to a Raltegravir containing regimen, in patients who are currently undetectable and candidates to simplification to a Dolutegravir containing regimen, in order to decide on once a day or twice a day dosing. We have performed a pilot, observational, retrospective, non interventional study, including 7 patients infected by HIV-1, all with a history of previous failure to a RAL containing regimen, that were successfully salvaged and had reached viral suppression. A genotypic viral Integrase region study was available for each patient at the moment of RAL failure. After an average (IQR) time of 48 months (29-53) Integrase resistance mutations in proviral DNA were studied. All the patients were infected by HIV-1 B subtypes, with a mean age of 55 (range 43 to 56), originating from Spain, and 4 were women. Median viral load (log) and CD4 count at the moment of the study on proviral DNA was of 1.3 log cp/ml (range 0-1.47) and 765.5 cells/μL (range; 436.75-1023.75). The median time (IQR) between previous failure to RAL and the study on proviral DNA was 48 (29-53) months. At Raltegravir failure, N155H was detected in four patients, and other secondary mutations were detected in five patients (71.4 %). In proviral DNA, N155H was detected by population sequencing in three patients (42.8 %), and UDS demonstrated a 9.77 % relative abundance of N155H in the remaining patient. Sanger sequencing correctly identified all the secondary mutations. This is a pilot study that demonstrates the possibility of properly identifying N155H and some secondary mutations 29-53 months after failure.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Portugal 1 3%
Argentina 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 13%
Student > Bachelor 5 13%
Other 3 8%
Researcher 3 8%
Professor > Associate Professor 3 8%
Other 8 21%
Unknown 11 29%
Readers by discipline Count As %
Medicine and Dentistry 14 37%
Immunology and Microbiology 3 8%
Agricultural and Biological Sciences 2 5%
Nursing and Health Professions 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 4 11%
Unknown 13 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 20 June 2017.
All research outputs
#13,234,742
of 22,870,727 outputs
Outputs from BMC Infectious Diseases
#3,177
of 7,688 outputs
Outputs of similar age
#151,937
of 312,377 outputs
Outputs of similar age from BMC Infectious Diseases
#64
of 157 outputs
Altmetric has tracked 22,870,727 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,688 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one has gotten more attention than average, scoring higher than 57% 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 312,377 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 50% of its contemporaries.
We're also able to compare this research output to 157 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 57% of its contemporaries.