Evidence map›Paper›PMID 40766073›Full record

ArticleFrontiers in medicine2025

Vancomycin levels for Bayesian dose-optimization in critical care: a prospective cohort study.

Natalia Dreyse, Nicole Salazar, Jose M Munita, Jordi Rello, René López

Abstract read
In one paragraph

Article in Frontiers in medicine, 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

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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
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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

5 authors.

Natalia DreyseDepartamento de Paciente Crítico, Clínica Alemana de Santiago, Santiago, Chile.
Nicole SalazarDepartamento de Farmacia, Clínica Alemana de Santiago, Santiago, Chile.
Jose M MunitaGenomics & Resistant Microbes Group (GeRM), Instituto de Ciencias e Innovación en Medicina (ICIM), Facultad de Medicina, Clínica Alemana, Universidad del Desarrollo, Santiago, Chile.
Jordi RelloCRIPS Research Group-Vall d'Hebrón Institute Research, Barcelona, Spain.
René LópezDepartamento de Paciente Crítico, Clínica Alemana de Santiago, Santiago, Chile.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vancomycin dosing in critically ill patients typically requires monitoring the area under the concentration-time curve/minimum inhibitory concentration (AUC/MIC), often using at least two vancomycin levels (VLs). However, the optimal number of VLs needed for accurate AUC/MIC estimation in this population remains uncertain. This study aimed to determine the minimum number of VLs required to accurately estimate the AUC/MIC in critically ill patients treated with intermittent infusion of vancomycin. Methods: A prospective cohort study was conducted in critically ill patients, where VLs were obtained at peak, beta, and trough phases. Five AUC estimates were derived using PrecisePK Results: We enrolled 36 adult patients with age of 65 (52-77) years, moderate severity [APACHE II 10 (5-14) and SOFA 5 (4-6)], 6 of them in ECMO and 4 in renal replacement therapy. A total of 108 blood samples for VL were analyzed. The AUC-3 (0.976 ± 0.012) showed greater accuracy compared to AUC-4 (1.072 ± 0.032, Conclusion: Bayesian software using two vancomycin levels provides a more accurate and less biased AUC/MIC estimation in critically ill patients.

Indexed as

antibioticsarea under curve/minimum inhibitory concentrationglycopeptidesintensive care unitpharmacokineticssepsis

Identifiers

PMID40766073
PMCPMC12321875

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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.