Evidence map›Paper›PMID 42163846›Full record

ArticleJAC-antimicrobial resistance2026

Age and body weight-adjusted infusion rate (mg/kg/h) as risk factors for vancomycin infusion reaction in patients receiving perioperative antimicrobial prophylaxis: a retrospective cohort study.

Osamu Iketani, Shunsuke Uno, Masayoshi Shinjoh, Ryo Takemura, Shogo Fukuda, Shoji Seyama, Motonori Kimura, Haruki Ishikawa, Tomohisa Hayakawa, Yoshifumi Uwamino and 9 more

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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0citing papers in PubMed
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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

19 authors.

Osamu IketaniDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9761-1542
Shunsuke UnoDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0002-9223-6138
Masayoshi ShinjohDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.
Ryo TakemuraDepartment of Biostatistics, Keio University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3733-7411
Shogo FukudaDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.
Shoji SeyamaDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.
Motonori KimuraDepartment of Pharmacy, Keio University Hospital, Tokyo, Japan.
Haruki IshikawaDepartment of Pharmacy, Keio University Hospital, Tokyo, Japan.
Tomohisa HayakawaDepartment of Pharmacy, Keio University Hospital, Tokyo, Japan.
Yoshifumi UwaminoDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9398-9599
Ho NamkoongDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6181-4284
Ayumi YoshifujiDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.
Hideaki ObaraDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.
Yaoko TakanoDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.
Yuki EnokiDivision of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5934-0670
Kazuaki TaguchiDivision of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3575-0448
Yasunori SatoDepartment of Biostatistics, Keio University School of Medicine, Tokyo, Japan.
Kazuaki MatsumotoDivision of Pharmacodynamics, Keio University Faculty of Pharmacy, Tokyo, Japan.
Naoki HasegawaDivision of Infectious Diseases and Infection Control, Keio University Hospital, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Vancomycin infusion reaction (VIR) is a common adverse reaction to vancomycin. We aimed to investigate the effects of infusion rate, age, infusion time, renal function and history of allergy on the incidence of VIR. Methods: We conducted a single-centre retrospective cohort study with 153 patients (aged 0-92.7 years) who received a single intravenous dose of vancomycin for perioperative prophylaxis. Patients treated for active infections were excluded. Medical records were retrospectively evaluated for VIR occurrence, defined as itching, flushing or rash documentation. Results: VIR incidence was 46.7% (7/15) in patients aged <10 years, 47.4% (9/19) in those aged 10-20 years and 44.4% (4/9) in those aged 20-30 years, versus 2.7% (2/74) in those aged ≥60 years. Multivariable logistic regression identified younger age [adjusted odds ratio (aOR) 0.95, 95% CI 0.93-0.97] and higher weight-adjusted infusion rate (aOR 1.22 per mg/kg/h increase, 95% CI 1.04-1.43) as independent risk factors for VIR. Receiver operating characteristic analysis of the infusion rate by age group showed that the optimal cut-off value for patients aged 30-60 years was 14.8 mg/kg/h, whereas for those aged <30 years, it was 14.0 mg/kg/h. No patients developed VIR when the infusion rate was <9.4 mg/kg/h. Conclusions: Age and higher weight-adjusted infusion rate were key risk factors for VIR. Tailoring infusion rate to age and weight may reduce VIR incidence without unnecessarily prolonging administration time.

Identifiers

PMID42163846
PMCPMC13184610

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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.