Evidence map›Paper›PMID 38967768›Full record

ArticleInfection2024

Evaluation and implementation of optimized antimicrobial dosing strategies in obese and underweight patients.

Valerie Caubergs, Evelyne Van den Broucke, Beatrijs Mertens, Matthias Gijsen, Willy E Peetermans, Eric Van Wijngaerden, Stefanie Desmet, Katrien Lagrou, Peter Declercq, Charlotte Quintens and 1 more

Abstract read
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In one paragraph

Article in Infection, 2024. 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. Article
  2. Article
  3. Delphi Consensus Among French Obesity Experts on Clinical Recommendations for Drug Prescription in Patients With Severe Obesity.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
    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

11 authors.

Valerie Caubergs *Pharmacy Department, UZ Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0009-0001-9184-7535
Evelyne Van den Broucke *Pharmacy Department, UZ Leuven, 3000, Leuven, Belgium. evelyne.vandenbroucke@uzleuven.be.ORCID http://orcid.org/0009-0005-1425-556X
Beatrijs MertensPharmacy Department, UZ Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-1501-3045
Matthias GijsenPharmacy Department, UZ Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0003-1378-3772
Willy E PeetermansDepartment of Microbiology, Immunology and Transplantation, KU Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-6974-8493
Eric Van WijngaerdenDepartment of Microbiology, Immunology and Transplantation, KU Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8926-099X
Stefanie DesmetDepartment of Microbiology, Immunology and Transplantation, KU Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-4338-1929
Katrien LagrouDepartment of Microbiology, Immunology and Transplantation, KU Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-8668-1350
Peter DeclercqPharmacy Department, UZ Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-6338-2355
Charlotte QuintensPharmacy Department, UZ Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0002-6072-2596
Isabel SprietPharmacy Department, UZ Leuven, 3000, Leuven, Belgium.ORCID http://orcid.org/0000-0001-6342-0676

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeWe aimed to develop and implement dosing recommendations for antimicrobials in obese and underweight patients within an academic hospital, and assess their impact on antibiotic prescribing.

methodsA multi-step approach project was performed. First, obese and underweight patient prevalence and antimicrobial prescription frequency was determined in a point prevalence study. Second and third, a literature review and e-survey provided dosing evidence. Fourth, a consensus meeting was organized to formulate dosing recommendations. Fifth, these were implemented in our clinical validation service as six clinical rules continuously screening patients' records for potentially inappropriate prescriptions (PIPs). Uptake was evaluated by documenting the number of advices and acceptance rate. Last, an interrupted time series analysis (ITS) compared pre- and post-implementation periods to measure the impact of the intervention on residual PIPs/day. A residual PIP was defined as a PIP which persisted up to 48 h.

resultsFirst, 41% of 15.896 hospitalized patients received antimicrobials over 20 days; of which 12% were obese and 9% underweight. Antibiotics were predominantly prescribed according to standard dosing regimens, adjusted to renal function. Next, six dosing recommendations, derived from literature, survey, and consensus, were implemented. In the fifth step, during an 18-week period, 219 advices were given, with 86% acceptance rate. Last, in the ITS analysis, at preintervention, a median of 75% residual PIPs/day existed, reduced to 0% postintervention. Use of clinical rules resulted in a significant immediate 84% relative reduction in residual PIPs (95% CI 0.55-0.94).

conclusionAfter conducting a literature review, e-survey, and seeking consensus from a panel of experts, dosing recommendations for antimicrobial treatment in both obese and underweight patients were developed. These recommendations have been successfully implemented into clinical practice, addressing the specific needs of these patient populations.

Indexed as

Anti-Bacterial AgentsObesityThinnessAdultAgedAnti-Infective AgentsAntimicrobial StewardshipFemaleHumansInappropriate PrescribingMaleMiddle AgedAnti-Bacterial AgentsAnti-Infective AgentsAntimicrobial therapyDosing recommendationsObesityUnderweight

Identifiers

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.