Evidence map›Paper›PMID 27165046›Full record

SynthesisEuropean journal of drug metabolism and pharmacokinetics2017

Effects of Mild and Moderate Renal Impairment on Ombitasvir, Paritaprevir, Ritonavir, Dasabuvir, and Ribavirin Pharmacokinetics in Patients with Chronic HCV Infection.

Akshanth R Polepally, Prajakta S Badri, Doerthe Eckert, Sven Mensing, Rajeev M Menon

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in European journal of drug metabolism and pharmacokinetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

8 citing papers in PubMed, 16 citations in OpenAlex.

  1. Trial
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Clinical Pharmacokinetics of Ombitasvir.Clinical pharmacokinetics · 2017
    Review
  7. Clinical Pharmacokinetics of Dasabuvir.Clinical pharmacokinetics · 2017
    Review
  8. Clinical Pharmacokinetics of Paritaprevir.Clinical pharmacokinetics · 2017
    Review
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

5 authors at 2 institutions in 2 countries.

Akshanth R PolepallyClinical Pharmacology and Pharmacometrics, Dept. R4PK, AbbVie Inc., Bldg. AP31-3, 1 North Waukegan Road, North Chicago, IL, 60064, USA. akshanth.r.polepally@abbvie.com.
Prajakta S BadriClinical Pharmacology and Pharmacometrics, Dept. R4PK, AbbVie Inc., Bldg. AP31-3, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
Doerthe EckertClinical Pharmacology and Pharmacometrics, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen, Germany.
Sven MensingClinical Pharmacology and Pharmacometrics, AbbVie Deutschland GmbH & Co. KG, Ludwigshafen, Germany.
Rajeev M MenonClinical Pharmacology and Pharmacometrics, Dept. R4PK, AbbVie Inc., Bldg. AP31-3, 1 North Waukegan Road, North Chicago, IL, 60064, USA.
AbbVie (United States) · USAbbVie (Germany) · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsOmbitasvir, paritaprevir (given with low-dose ritonavir), and dasabuvir are direct-acting antivirals (DAAs) used with or without ribavirin for the treatment of chronic hepatitis C virus (HCV) infection. The objective of this analysis was to evaluate the effect of renal function as determined by creatinine clearance (CrCL) on the pharmacokinetics of the DAAs, ritonavir, and ribavirin in HCV genotype 1-infected patients with or without cirrhosis.

methodsTotal exposure, measured by area under the plasma concentration-time curve (AUC), was generated for the DAAs, ritonavir, and ribavirin using population pharmacokinetic modeling of data (N = 2093 patients) from 6 Phase 3 studies and 1 Phase 2 study. The effect of CrCL on the AUC values of each DAA, ritonavir, and ribavirin was separately evaluated and adjusted for any significant patient-specific covariates including, age, sex, body weight, cirrhosis, and Asian race in multiple linear regression analysis. Using the final models, AUC values were predicted for patients with normal renal function (CrCL = 105 mL/min), mild renal impairment (CrCL = 75 mL/min) and moderate renal impairment (CrCL = 45 mL/min).

resultsCrCL was not a statistically significant predictor of DAA or ritonavir AUC values. Age, sex, and cirrhosis were significant covariates for the AUC values of all the DAAs and body weight was a significant covariate for the AUC values of ombitasvir and dasabuvir. Asian race was significant only for dasabuvir. Only age and sex were statistically significant predictors for the AUC values of ritonavir. CrCL showed a significant relationship with the ribavirin AUC values, consistent with ribavirin's renal excretion. Age, sex, body weight, and cirrhosis were also significant covariates for the AUC values of ribavirin. The DAA and ritonavir AUC values were comparable (≤10 % difference) among different levels of renal function, while ribavirin AUC values were up to 17 % higher in mild/moderate renal impairment compared with normal renal function.

conclusionsNo dose adjustments are needed for the 3D regimen in HCV genotype-1 infected patients with mild or moderate renal impairment. Ribavirin doses should be adjusted for renal impairment as recommended in the ribavirin label.

Indexed as

2-NaphthylamineAdolescentAdultAgedAnilidesAntiviral AgentsArea Under CurveCarbamatesClinical Trials, Phase II as TopicClinical Trials, Phase III as TopicCyclopropanesDose-Response Relationship, DrugDrug Therapy, CombinationFemaleGenotypeHepacivirus2-NaphthylamineAnilidesAntiviral AgentsCarbamatesCyclopropanesdasabuvirLactams, MacrocyclicMacrocyclic CompoundsombitasvirparitaprevirProlineRibavirinRitonavirSulfonamidesUracilValine

Identifiers

PMID27165046
OpenAlexW2372496328

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.