Evidence map›Paper›PMID 32387437›Full record

ArticleClinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases2020

In pursuit of the triple crown: mechanism-based pharmacodynamic modelling for the optimization of three-drug combinations against KPC-producing Klebsiella pneumoniae.

N J Onufrak, N M Smith, M J Satlin, J B Bulitta, X Tan, P N Holden, R L Nation, J Li, A Forrest, B T Tsuji and 1 more

Abstract read
In one paragraph

Article in Clinical microbiology and infection : the official publication of the European Society of Clinical Microbiology and Infectious Diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Article
  2. DynamicAntibiotics (Basel, Switzerland) · 2024
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Review
  8. Article
  9. Review
  10. Building Optimal Three-Drug Combination Chemotherapy Regimens.Antimicrobial agents and chemotherapy · 2020
    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

11 authors.

N J OnufrakDepartment of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA; Institute for Clinical Pharmacodynamics, Inc., Schenectady, NY, USA. Electronic address: nikolas.onufrak@gmail.com.
N M SmithDepartment of Pharmacy Practice, University at Buffalo, Buffalo, NY, USA.
M J SatlinDepartment of Medicine, Weill Cornell Medicine, New York, NY, USA.
J B BulittaDepartment of Pharmacotherapy & Translational Research, University of Florida, Gainesville, FL, USA.
X TanDepartment of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL, USA.
P N HoldenDepartment of Pharmacy Practice, University at Buffalo, Buffalo, NY, USA.
R L NationDrug Delivery Disposition & Dynamics, Monash University, Melbourne, Victoria, Australia.
J LiMonash Biomedicine Discovery Institute, Monash University, Melbourne, Victoria, Australia.
A ForrestDepartment of Pharmacotherapy and Experimental Therapeutics, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
B T TsujiDepartment of Pharmacy Practice, University at Buffalo, Buffalo, NY, USA.
Z P BulmanDepartment of Pharmacy Practice, University at Buffalo, Buffalo, NY, USA; Department of Pharmacy Practice, University of Illinois at Chicago, Chicago, IL, USA. Electronic address: bulman@uic.edu.

Funding

Institutional Career DevelopmentKL2TR002002 · NCATS · UNIVERSITY OF ILLINOIS AT CHICAGO · PI PHILLIPS, SHANE A · 2016 to 2024
$6.8M
Novel PK/PD Strategies for Polymyxin Combinations against Gram-negative SuperbugsR01AI111990 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI LI, JIAN, TSUJI, BRIAN · 2014 to 2018
$4.4M
Novel Strategies for Antibiotic Combinations to Combat Gram-negative SuperbugsR01AI148560 · NIAID · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI BULITTA, JURGEN BERND, TSUJI, BRIAN · 2020 to 2024
$3.9M
NCATS NIH HHS KL2 TR002002NIAID NIH HHS L30 AI140368NIAID NIH HHS R01 AI111990NIAID NIH HHS R01 AI148560
6 · The paper itself

Abstract

objectivesOptimal combination therapy for Klebsiella pneumoniae carbapenemase (KPC)-producing K. pneumoniae (KPC-Kp) is unknown. The present study sought to characterize the pharmacodynamics (PD) of polymyxin B (PMB), meropenem (MEM) and rifampin (RIF) alone and in combination using a hollow fibre infection model (HFIM) coupled with mechanism-based modelling (MBM).

methodsA 10-day HFIM was utilized to simulate human pharmacokinetics (PK) of various PMB, MEM and RIF dosing regimens against a clinical KPC-Kp isolate, with total and resistant subpopulations quantified to capture PD response. A MBM was developed to characterize bacterial subpopulations and synergy between agents. Simulations using the MBM and published population PK models were employed to forecast the bacterial time course and the extent of its variability in infected patients for three-drug regimens.

resultsIn the HFIM, a PMB single-dose ('burst') regimen of 5.53 mg/kg combined with MEM 8 g using a 3-hr prolonged infusion every 8 hr and RIF 600 mg every 24 hr resulted in bacterial counts below the quantitative limit within 24 hr and remained undetectable throughout the 10-day experiment. The final MBM consisted of two bacterial subpopulations of differing PMB and MEM joint susceptibility and the ability to form a non-replicating, tolerant subpopulation. Synergistic interactions between PMB, MEM and RIF were well quantified, with the MBM providing adequate capture of the observed data. DISCUSSION: An in vitro-in silico approach answers questions related to PD optimization as well as overall feasibility of combination therapy against KPC-Kp, offering crucial insights in the absence of clinical trials.

Indexed as

Anti-Bacterial AgentsBacterial ProteinsBacteriological Techniquesbeta-LactamasesDrug Therapy, CombinationKlebsiella pneumoniaeMeropenemPolymyxin BRifampinAnti-Bacterial AgentsBacterial Proteinsbeta-LactamasescarbapenemaseMeropenemPolymyxin BRifampinHollow fibreMechanism-based modelPharmacodynamicsPharmacokineticsPolymyxin

Identifiers

PMID32387437
PMCPMC7641993

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Registered trials

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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.