Evidence map›Paper›PMID 39344185›Full record

ArticleThe Journal of infectious diseases2025

Population Pharmacokinetic Modeling of Cefepime, Meropenem, and Piperacillin-Tazobactam in Patients With Cystic Fibrosis.

Stephanie L Rolsma, Andrew Sokolow, Pratish C Patel, Katherine Sokolow, Natalia Jimenez-Truque, William H Fissell, Vivian Ryan, Carl M Kirkpatrick, Roger L Nation, Kenan Gu and 7 more

Abstract read
In one paragraph

Article in The Journal of infectious diseases, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Inclusion of Women, Children, the Elderly, and Individuals With Underlying Medical Conditions: Prioritizing Vulnerable Populations in Clinical Research.Clinical infectious diseases : an official publication of the Infectious Diseases Society of America · 2025
    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

17 authors.

Stephanie L RolsmaVanderbilt Vaccine Research Program, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-7636-2222
Andrew SokolowDivision of Pediatric Pulmonary Medicine, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-5495-1237
Pratish C PatelDepartment of Pharmaceutical Services, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0001-8660-1023
Katherine SokolowVanderbilt Vaccine Research Program, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
Natalia Jimenez-TruqueVanderbilt Vaccine Research Program, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-3065-9127
William H FissellDepartment of Medicine, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-3960-3998
Vivian RyanVanderbilt Vaccine Research Program, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.
Carl M KirkpatrickMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia.ORCID 0000-0002-5715-1534
Roger L NationMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia.ORCID 0000-0003-1492-8590
Kenan GuNational Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland.ORCID 0009-0001-9621-8439
Mary TeresiDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa.
Nicholas FishbaneThe Emmes Company LLC, Rockville, Maryland.
Marissa KontosThe Emmes Company LLC, Rockville, Maryland.
Guohua AnDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa.ORCID 0000-0002-6498-7663
Patricia WinokurDepartment of Internal Medicine, University of Iowa, Iowa City, Iowa.ORCID 0000-0002-4826-1790
Cornelia B LandersdorferMonash Institute of Pharmaceutical Sciences, Monash University, Parkville, Australia.ORCID 0000-0003-0928-4743
C Buddy CreechVanderbilt Vaccine Research Program, Department of Pediatrics, Vanderbilt University Medical Center, Nashville, Tennessee.ORCID 0000-0002-8276-9053

Funding

Division of Microbiology and Infectious DiseasesNIAID NIH HHS HHSN272201300015CNIAID NIH HHS HHSN272201300015INIH HHS HHSN272201300015I
6 · The paper itself

Abstract

backgroundPatients with cystic fibrosis (CF) experience recurrent bacterial pulmonary exacerbations. Management of these infections is increasingly challenging due to decreased antimicrobial susceptibility to β-lactam antibiotics. The pharmacokinetics (PK) of these agents are inadequately characterized in patients with CF.

methodsThis study enrolled 155 pediatric and adult participants with CF who were receiving the following β-lactam antibiotics: cefepime (n = 82), meropenem (n = 42), or piperacillin-tazobactam (n = 31). Opportunistic blood samples were obtained during hospitalization. Population PK analysis was conducted via nonlinear mixed effects modeling. Clinical and demographic characteristics were evaluated as potential covariates. Monte Carlo simulations were performed to evaluate the probability of target attainment (PTA) for different dosing regimens.

resultsEstimated creatinine clearance and total or lean body weight affected the PK of cefepime and meropenem. No covariates were identified for piperacillin and tazobactam. In the cefepime group, a 3-hour infusion achieved a higher PTA than a 0.5-hour infusion for all participants. Estimated breakpoints-the respective minimum inhibitory concentration up to which ≥90% of patients are predicted to reach a PK/pharmacodynamic target-were 2- to 4-fold higher in pediatric participants receiving a 3- vs 0.5-hour infusion. In the meropenem group, increased creatinine clearance led to reduced PTA. In the piperacillin-tazobactam group, total daily dose and mode of administration were principal drivers of PTA.

conclusionsStandard dosing regimens fail to achieve specific minimum inhibitory concentration targets in patients with CF. Therefore, clinicians should incorporate local antibiograms and PK models to determine optimal dosing. Further PK optimization to account for interindividual differences could be achieved by real-time β-lactam therapeutic drug monitoring.

Indexed as

Anti-Bacterial AgentsCefepimeCephalosporinsCystic FibrosisMeropenemPiperacillin, Tazobactam Drug CombinationAdolescentAdultChildChild, PreschoolFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedModels, BiologicalAnti-Bacterial AgentsCefepimeCephalosporinsMeropenemPiperacillin, Tazobactam Drug Combinationcystic fibrosispharmacokineticspopulation pharmacokineticsprobability of target attainmentβ-lactams

Identifiers

PMID39344185
PMCPMC11841632

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.