Evidence map›Paper›PMID 37449472›Full record

ArticleThe Journal of antimicrobial chemotherapy2023

Making the case for precision dosing: visualizing the variability of cefepime exposures in critically ill adults.

Jack Chang, Jiajun Liu, Mohammad H Alshaer, Veena Venugopalan, Nicole Maranchick, Charles A Peloquin, Nathaniel J Rhodes, Marc H Scheetz

Open access · bronzeAbstract read
In one paragraph

Article in The Journal of antimicrobial chemotherapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

6 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Article
  6. Role of therapeutic drug monitoring in the treatment of multi-drug resistant tuberculosis.Journal of clinical tuberculosis and other mycobacterial diseases · 2024
    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

8 authors at 3 institutions in 1 country.

Jack ChangDepartment of Pharmacy Practice, Midwestern University College of Pharmacy, 555 31st St., Downers Grove, IL 60515, USA.ORCID 0000-0002-5645-0014
Jiajun LiuDivision of Pharmacometrics, Office of Clinical Pharmacology, Office of Translational Sciences, United States Food and Drug Administration, Silver Spring, MD, USA.ORCID 0000-0002-4330-2098
Mohammad H AlshaerInfectious Disease Pharmacokinetics Laboratory, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.ORCID 0000-0003-1432-5175
Veena VenugopalanDepartment of Pharmacotherapy and Translational Research, College of Pharmacy, University of Florida, Gainesville, FL, USA.
Nicole MaranchickInfectious Disease Pharmacokinetics Laboratory, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Charles A PeloquinInfectious Disease Pharmacokinetics Laboratory, Emerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Nathaniel J RhodesDepartment of Pharmacy Practice, Midwestern University College of Pharmacy, 555 31st St., Downers Grove, IL 60515, USA.ORCID 0000-0002-0018-5434
Marc H ScheetzDepartment of Pharmacy Practice, Midwestern University College of Pharmacy, 555 31st St., Downers Grove, IL 60515, USA.ORCID 0000-0002-1091-6130
Midwestern University · USUniversity of Florida · USUF Health Shands Hospital · US

Funding

Assessment of MODS and Personalized Exposures of AntibioticsR01HD103755 · NICHD · CHILDREN'S HOSP OF PHILADELPHIA · PI DOWNES, KEVIN JAMES, SCHEETZ, MARC HOWARD · 2021 to 2025
$3.7M
NICHD NIH HHS R01 HD103755NIH HHS
6 · The paper itself

Abstract

objectiveTo investigate and describe the variability in cefepime exposures among 'real-world', critically ill patients by using population pharmacokinetic modelling and simulations, and with translation of these findings to visualizations.

methodsA cohort of adult medical ICU patients who received cefepime with therapeutic drug monitoring was studied. Two compartment models were developed to estimate cefepime clearance (Model 1) and simulate cefepime exposures among 1000 patients, each with identical creatinine clearance of 60 mL/min and receiving a regimen of cefepime 1 gram IV over 30 minutes, every 8 hours (Model 2). Variability in the relationship between cefepime clearance and creatinine clearance (CrCL) was visualized, and a random, representative sample of 10 simulated patients was utilized to illustrate variability in cefepime exposures.

resultsA total of 75 adult medical ICU patients (52% female) and 98 serum cefepime samples were included in the study. Population parameter estimates for cefepime displayed a wide range of variation in Model 1 (CV: 45% to 95%), with low bias at the individual level at 0.226 mg/L but high bias in the population model 10.6 mg/L. Model 2 displayed similar fits, demonstrating that correcting for individual patient creatinine clearance slightly improves the bias of the population model (bias = 4.31 mg/L). Among 10 simulated patients that a clinician would deem similar from a dosing perspective (i.e. equivalent creatinine clearance), maximum concentrations after three simulated doses varied more than 8-fold from 41.2 to 339 mg/L at the 5th and 95th percentiles, and clearance profiles were highly different.

conclusionCreatinine clearance estimates alone are inadequate for predicting cefepime exposures. Wide variations in cefepime exposure exist among ICU patients, even for those with similar kidney function estimates. Current population adjustment schemes based solely on creatinine clearance will result in unintended high and low exposures leading to safety and efficacy concerns, respectively.

Indexed as

Anti-Bacterial AgentsCritical IllnessAdultCefepimeCreatinineDrug MonitoringFemaleHumansMaleAnti-Bacterial AgentsCefepimeCreatinine

Identifiers

PMID37449472
PMCPMC10686690
OpenAlexW4384300161

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.