Evidence map›Paper›PMID 26643339›Full record

ArticleAntimicrobial agents and chemotherapy2015

Amikacin Pharmacokinetics/Pharmacodynamics in a Novel Hollow-Fiber Mycobacterium abscessus Disease Model.

Beatriz E Ferro, Shashikant Srivastava, Devyani Deshpande, Carleton M Sherman, Jotam G Pasipanodya, Dick van Soolingen, Johan W Mouton, Jakko van Ingen, Tawanda Gumbo

Open access · bronzeAbstract read
In one paragraph

Article in Antimicrobial agents and chemotherapy, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed, 1 pooled it
3.1field-weighted citation impact, top 8% 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

36 citing papers in PubMed, 1 synthesis or guideline pooled it, 58 citations in OpenAlex.

  1. Pooled it
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  15. Metabolic Rewiring ofMetabolites · 2024
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  18. Frontiers in microbiology · 2023
    Review
  19. Liposomal drug delivery to manage nontuberculous mycobacterial pulmonary disease and other chronic lung infections.European respiratory review : an official journal of the European Respiratory Society · 2021
    Review
  20. 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

9 authors at 4 institutions in 3 countries.

Beatriz E FerroDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Shashikant SrivastavaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
Devyani DeshpandeCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
Carleton M ShermanCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
Jotam G PasipanodyaCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA.
Dick van SoolingenDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands Department of Pulmonary Diseases, Radboud University Medical Center, Nijmegen, The Netherlands National Tuberculosis Reference Laboratory, National Institute for Public Health and the Environment (RIVM), Bilthoven, The Netherlands.
Johan W MoutonDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands Department of Medical Microbiology and Infectious Diseases, Erasmus Medical Center, Rotterdam, The Netherlands.
Jakko van IngenDepartment of Medical Microbiology, Radboud University Medical Center, Nijmegen, The Netherlands.
Tawanda GumboCenter for Infectious Diseases Research and Experimental Therapeutics, Baylor Research Institute, Baylor University Medical Center, Dallas, Texas, USA Department of Medicine, University of Cape Town, Cape Town, South Africa tawanda.gumbo@baylorhealth.edu.
Baylor University Medical Center · USRadboud University Medical Center · NLRadboud University Nijmegen · NLUniversity of Cape Town · ZA

Funding

Short course therapy for MDR-TB based on PK/PD answers for biological variabilityR56AI111985 · NIAID · UT SOUTHWESTERN MEDICAL CENTER · PI GUMBO, TAWANDA · 2014 to 2014
$900k
NIAID NIH HHS R56 AI111985
6 · The paper itself

Abstract

The treatment of pulmonary Mycobacterium abscessus disease is associated with very high failure rates and easily acquired drug resistance. Amikacin is the key drug in treatment regimens, but the optimal doses are unknown. No good preclinical model exists to perform formal pharmacokinetics/pharmacodynamics experiments to determine these optimal doses. We developed a hollow-fiber system model of M. abscessus disease and studied amikacin exposure effects and dose scheduling. We mimicked amikacin human pulmonary pharmacokinetics. Both amikacin microbial kill and acquired drug resistance were linked to the peak concentration-to-MIC ratios; the peak/MIC ratio associated with 80% of maximal kill (EC80) was 3.20. However, on the day of the most extensive microbial kill, the bacillary burden did not fall below the starting inoculum. We performed Monte Carlo simulations of 10,000 patients with pulmonary M. abscessus infection and examined the probability that patients treated with one of 6 doses from 750 mg to 4,000 mg would achieve or exceed the EC80. We also examined these doses for the ability to achieve a cumulative area under the concentration-time curve of 82,232 mg · h/liter × days, which is associated with ototoxicity. The standard amikacin doses of 750 to 1,500 mg a day achieved the EC80 in ≤ 21% of the patients, while a dose of 4 g/day achieved this in 70% of the patients but at the cost of high rates of ototoxicity within a month or two. The susceptibility breakpoint was an MIC of 8 to 16 mg/liter. Thus, amikacin, as currently dosed, has limited efficacy against M. abscessus. It is urgent that different antibiotics be tested using our preclinical model and new regimens developed.

Indexed as

AmikacinAnti-Bacterial AgentsDose-Response Relationship, DrugHumansMicrobial Sensitivity TestsModels, BiologicalMonte Carlo MethodMutation RateNontuberculous MycobacteriaAmikacinAnti-Bacterial Agents

Identifiers

PMID26643339
PMCPMC4775936
OpenAlexW2275249775

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.