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Improvement of lipid profile after switching from efavirenz or ritonavir-boosted protease inhibitors to rilpivirine or once-daily integrase inhibitors: results from a large observational cohort study …

Overview of attention for article published in BMC Infectious Diseases, July 2018
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Title
Improvement of lipid profile after switching from efavirenz or ritonavir-boosted protease inhibitors to rilpivirine or once-daily integrase inhibitors: results from a large observational cohort study (SCOLTA)
Published in
BMC Infectious Diseases, July 2018
DOI 10.1186/s12879-018-3268-5
Pubmed ID
Authors

Lucia Taramasso, Paola Tatarelli, Elena Ricci, Giordano Madeddu, Barbara Menzaghi, Nicola Squillace, Giuseppe Vittorio De Socio, Canio Martinelli, Roberto Gulminetti, Paolo Maggi, Giancarlo Orofino, Francesca Vichi, Antonio Di Biagio, Paolo Bonfanti, on behalf of CISAI Study Group

Abstract

Dyslipidemia represents a significant non-infectious comorbidity among people living with HIV. The aim of this study is to evaluate the impact on lipid profile of switches from an efavirenz (EFV) or protease inhibitor/ritonavir (PI/r)-based regimen to a rilpivirine (RPV) or a once-daily integrase inhibitor-based regimen. We analyzed data from SCOLTA prospective database. All patients with HIV-RNA < 50 copies/ml in therapy with two NRTI + EFV or PI/r were included if they switched from EFV to dolutegravir (group EFV-DTG), elvitegravir (EFV-EVG), or RPV (EFV-RPV) and from PI/r to DTG (PI/r-DTG), PI/r to EVG (PI/r-EVG), or PI/r to RPV (PI/r-RPV). Total cholesterol (TC), TC/HDL ratio, LDL-cholesterol (LDL) and triglycerides (TG) were compared at baseline, six months and one year. Comparisons among groups were performed by a general linear model. Four hundred and ninety patients were enrolled, 24.9% female, mean age 47.3 years (±10.1). According to ART switch, 11.4% were classified in group EFV-DTG, 3.9% in EFV-EVG, 23.9% in EFV-RPV, 17.6% in PI/r-DTG, 17.8% in PI/r-EVG, and 25.5% in PI/r-RPV. After adjusted analysis, TC significantly decreased in all groups but EFV-EVG, TC/HDL in all but EFV-DTG and EFV-EVG, while the reduction of TG was significant only in switches to RPV (EFV-RPV and PI/r-RPV). The one year decrease of TC, TC/HDL, LDL and TG was higher in patients with higher baseline levels of the same variable (p < .0001 for all). In SCOLTA, all switches from PI/r regimens gave advantages on lipid profile, while stopping EFV had consistently favorable lipid effects only if replaced by RPV.

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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 %
Student > Bachelor 13 21%
Student > Postgraduate 11 18%
Other 5 8%
Researcher 4 7%
Student > Master 2 3%
Other 5 8%
Unknown 21 34%
Readers by discipline Count As %
Medicine and Dentistry 25 41%
Biochemistry, Genetics and Molecular Biology 4 7%
Nursing and Health Professions 4 7%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Immunology and Microbiology 2 3%
Other 2 3%
Unknown 22 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 August 2018.
All research outputs
#15,015,838
of 23,098,660 outputs
Outputs from BMC Infectious Diseases
#4,157
of 7,751 outputs
Outputs of similar age
#197,961
of 329,833 outputs
Outputs of similar age from BMC Infectious Diseases
#79
of 163 outputs
Altmetric has tracked 23,098,660 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,751 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 329,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.