Evidence map›Paper›PMID 12405866›Full record

ReviewClinical pharmacokinetics2002

Interactions between antiretroviral drugs and drugs used for the therapy of the metabolic complications encountered during HIV infection.

Carl J Fichtenbaum, John G Gerber

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical pharmacokinetics, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed
12.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

38 citing papers in PubMed, 170 citations in OpenAlex.

  1. Results of a Doravirine-Atorvastatin Drug-Drug Interaction Study.Antimicrobial agents and chemotherapy · 2017
    Trial
  2. Trial
  3. Review
  4. Review
  5. Review
  6. Review
  7. Review
  8. HIV, drugs and the kidney.Drugs in context · 2020
    Review
  9. Article
  10. Article
  11. Evidence-based review of statin use in patients with HIV on antiretroviral therapy.Journal of clinical & translational endocrinology · 2017
    Review
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Article
  18. Article
  19. Diabetes and HIV.Clinical medicine (London, England) · 2014
    Review
  20. Cardiovascular disease associated with the human immunodeficiency virus: an update.Current treatment options in cardiovascular medicine · 2014
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 1 country.

Carl J FichtenbaumDivision of Infectious Diseases, University of Cincinnati College of Medicine, Cincinnati, Ohio, USA.
John G Gerber
University of Cincinnati Medical Center · USUniversity of Colorado Health · US

Funding

NIAID NIH HHS AI 4800PHS HHS 32770
6 · The paper itself

Abstract

Treatment of HIV infection with potent combination antiretroviral therapy has resulted in major improvement in overall survival, immune function and the incidence of opportunistic infections. However, HIV infection and treatment has been associated with the development of metabolic complications, including hyperlipidaemia, diabetes mellitus, hypertension, lipodystrophy and osteopenia. Safe pharmacological treatment of these complications requires an understanding of the drug-drug interactions between antiretroviral drugs and the drugs used in the treatment of metabolic complications. Since formal studies of most of these interactions have not been performed, predictions must be based on our understanding of the metabolism of these agents. All HIV protease inhibitors are metabolised by and inhibit cytochrome P450 (CYP) 3A4. Ritonavir is the most potent inhibitor of CYP3A4. Ritonavir and nelfinavir also induce a host of CYP isoforms as well as some conjugating enzymes. The non-nucleoside reverse transcriptase inhibitor delavirdine potently inhibits CYP3A4, whereas nevirapine and efavirenz are inducers of CYP3A4. Drug interaction studies have been performed with HIV protease inhibitors and HMG-CoA reductase inhibitors. Coadministration of ritonavir plus saquinavir to HIV-seronegative volunteers resulted in increased exposure to simvastatin acid by 3059%. Atorvastatin exposure increased by 347%, but exposure to active atorvastatin increased by only 79%. Conversely, pravastatin exposure decreased by 50%. Similar results have been obtained with combinations of simvastatin and atorvastatin with other HIV protease inhibitors. Thus, the lactone prodrugs simvastatin and lovastatin should not be used with HIV protease inhibitors. Atorvastatin may be used with caution. Although there are no formal studies available, calcium channel antagonists and repaglinide may have significant interactions and toxicity when used with HIV protease inhibitors because of their metabolism by CYP3A4. Sulfonylurea drugs utilise mainly CYP2C9 for metabolism, and this isoenzyme may be induced by ritonavir and nelfinavir with a resulting decrease in efficacy of the sulfonylurea. Losartan may have increased effect when coadministered with ritonavir and nelfinavir because of the induction of CYP2C9 and the expected increase in formation of the active metabolite, E-3174. Overall, well-designed drug-drug interaction studies at steady state are needed to determine whether antiretroviral drugs may be safely coadministered with many of the drugs used in the treatment of the metabolic complications of HIV infection.

Indexed as

Drug InteractionsAnti-HIV AgentsAntihypertensive AgentsDiphosphonatesHIV InfectionsHumansHypoglycemic AgentsHypolipidemic AgentsSelective Estrogen Receptor ModulatorsAnti-HIV AgentsAntihypertensive AgentsDiphosphonatesHypoglycemic AgentsHypolipidemic AgentsSelective Estrogen Receptor Modulators

Identifiers

PMID12405866
OpenAlexW2013641871

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.