| Title |
Drug Interactions and Antiretroviral Drug Monitoring
|
|---|---|
| Published in |
Current HIV/AIDS Reports, June 2014
|
| DOI | 10.1007/s11904-014-0212-1 |
| Pubmed ID | |
| Authors |
Matthew Foy, C. John Sperati, Gregory M. Lucas, Michelle M. Estrella |
| Abstract |
Owing to the improved longevity afforded by combination antiretroviral therapy (cART), HIV-infected individuals are developing several non-AIDS-related comorbid conditions. Consequently, medical management of the HIV-infected population is increasingly complex, with a growing list of potential drug-drug interactions (DDIs). This article reviews some of the most relevant and emerging potential interactions between antiretroviral medications and other agents. The most common DDIs are those involving protease inhibitors or non-nucleoside reverse transcriptase inhibitors, which alter the cytochrome P450 enzyme system and/or drug transporters such as p-glycoprotein. Of note are the new agents for the treatment of chronic hepatitis C virus infection. These new classes of drugs and others drugs that are increasingly used in this patient population represent a significant challenge with regard to achieving the goals of effective HIV suppression and minimization of drug-related toxicities. Awareness of DDIs and a multidisciplinary approach are imperative in reaching these goals. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 58 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 22% |
| Student > Bachelor | 11 | 19% |
| Researcher | 6 | 10% |
| Lecturer | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 10 | 17% |
| Unknown | 10 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 26 | 45% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 14% |
| Social Sciences | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Business, Management and Accounting | 2 | 3% |
| Other | 9 | 16% |
| Unknown | 7 | 12% |
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 26 July 2014.
All research outputs
#13,409,787
of 22,757,541 outputs
Outputs from Current HIV/AIDS Reports
#282
of 429 outputs
Outputs of similar age
#111,417
of 228,055 outputs
Outputs of similar age from Current HIV/AIDS Reports
#9
of 15 outputs
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