Evidence map›Paper›PMID 41969970›Full record

ArticleJAC-antimicrobial resistance2026

Individualizing beta-lactam dosing in real-world patients: lessons from a pharmacist-led programme implementation and evaluation.

Samantha Pan, Erin Weslander, Sarah Fierek, Mark Ball, Christopher A Crutchfield, Shannon Galvin, Nathaniel J Rhodes

Abstract read
In one paragraph

Article in JAC-antimicrobial resistance, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Samantha PanDepartment of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, USA.ORCID https://orcid.org/0009-0005-7512-1151
Erin WeslanderDepartment of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, USA.
Sarah FierekDepartment of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, USA.
Mark BallDepartment of Pathology, Northwestern Memorial Hospital, Chicago, IL, USA.
Christopher A CrutchfieldDepartment of Pathology, Northwestern Memorial Hospital, Chicago, IL, USA.
Shannon GalvinDivision of Infectious Diseases, Department of Internal Medicine, Northwestern University, Chicago, IL, USA.ORCID https://orcid.org/0000-0001-5007-1526
Nathaniel J RhodesDepartment of Pharmacy, Northwestern Memorial Hospital, Chicago, IL, USA.ORCID https://orcid.org/0000-0002-0018-5434

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Individualized dosing of beta-lactam using serum concentrations is an emerging approach to overcome PK/PD variability in select patients. Herein, we describe a beta-lactam dose individualization programme highlighting successes and challenges. Methods: We conducted a single-centre evaluation of a beta-lactam dose individualization using serum concentration monitoring programme. In September 2023, a pharmacist-driven protocol was implemented at an academic centre as a collaboration between Infectious Diseases, Pharmacy, and the Clinical Laboratory. De-centralized pharmacists ordered serum concentrations for cefepime, meropenem or piperacillin-tazobactam treated patients. Results: Interpretation was conducted using Bayesian software. The drug monitored, treatment indication, model fitness, whether therapy was altered, whether protocols were followed and PK/PD attainment for each patient were recorded. Eighty-two beta-lactam serum levels were ordered in 47 patients between 26 September 2023 and 31 March 2024. Cefepime was most frequently monitored (70.7%). Common treatment indications in monitored patients were hospital-acquired/ventilator-associated pneumonia (25.5%), surgical prophylaxis (12.8%), bone/joint (12.8%) and central nervous system infection (12.8%). Model fitness was good or intermediate in >95% of cases. Dose or agent optimization was possible in 60% of cases, and dose adjustments were made in 34% of cases. Protocol deviations were common (57.4%). Targets of 100% Conclusion: We found that dose optimization was possible in >50% of monitored patients necessitating dose adjustments >33% of the time. Protocol deviations reinforced areas for continued pharmacist and provider education to optimize the use of this targeted intervention.

Identifiers

PMID41969970
PMCPMC13065389

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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.