Evidence map›Paper›PMID 41408367›Full record

ArticleJournal of pharmaceutical health care and sciences2025

Effectiveness of an antimicrobial stewardship program using an automated antimicrobial surveillance system based on indication for antimicrobial administration.

Mikiyasu Sakai, Takamasa Sakai, Toshitaka Watariguchi, Atsushi Kawabata, Mana Shirai, Mitsumi Kakimoto, Yuki Hirao, Fumiko Ohtsu

Abstract read
In one paragraph

Article in Journal of pharmaceutical health care and sciences, 2025. 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Mikiyasu SakaiGraduate School of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-ku, Nagoya, Aichi, 468-8503, Japan. 224331502@ccmailg.meijo-u.ac.jp.
Takamasa SakaiDrug Informatics, Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-ku, Nagoya, Aichi, 468-8503, Japan.
Toshitaka WatariguchiDepartment of General Internal Medicine, Toyota Kosei Hospital, 500-1, Ibobara, Jousui-cho, Toyota, Aichi, 470-0396, Japan.
Atsushi KawabataDepartment of Infectious Disease, Toyota Kosei Hospital, 500-1, Ibobara, Jousui-cho, Toyota, Aichi, 470-0396, Japan.
Mana ShiraiDepartment of Pharmacy, Anjo Kosei Hospital, 28 Higashihirokute, Anjo-cho, Anjo, Aichi, 446-8602, Japan.
Mitsumi KakimotoDepartment of Pharmacy, Kainan Hospital, 396, Minamihonden, Maegasu-cho, Yatomi, Aichi, 498-8502, Japan.
Yuki HiraoDepartment of Pharmacy, Konan Kosei Hospital, 137 Ohmatsubara, Takaya-cho, Konan, Aichi, 483-8704, Japan.
Fumiko OhtsuDrug Informatics, Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku-ku, Nagoya, Aichi, 468-8503, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConventional antimicrobial surveillance measures usage in days of therapy (DOT). However, assessments using DOT alone often ignore indication-specific details, which limits the identification of targets for antimicrobial stewardship (AS) interventions. Therefore, we have developed an automated surveillance system (the Antimicrobial and Patient Background Surveillance System [APBSS]) in order to analyze antimicrobial use based on indications, and evaluated the short-term effectiveness of an AS program using APBSS surveillance data, as an initial evaluation of the newly developed system.

methodsUsing an interrupted time series design, we calculated the carbapenem DOT per 100 patient days as the primary outcome by comparing the pre-intervention (October 2022 to September 2024) and post-intervention (October 2024 to September 2025) periods. During the intervention, the AS team presented the APBSS surveillance data, including indication-specific antimicrobial use, patient characteristics, annual trends at our hospital, and multicenter comparisons. The antipseudomonal agent DOT was a secondary outcome.

resultsPatient characteristics did not differ substantially between the periods. APBSS surveillance data identified key issues, including high carbapenem use in specific infections (e.g. Gram-negative rod bacteremia), which occurred despite the lower proportion of patients with hematological malignancies compared with other hospitals. However, the intervention significantly reduced carbapenem DOT levels (level change: −0.69/100 patient days, p = 0.017). The antipseudomonal agent DOT also significantly decreased (level change: −1.7/100 patient days, p = 0.004).

conclusionsThe AS program that used APBSS surveillance data improved the use of carbapenems and antipseudomonal agents in the short-term. Thus, our initial evaluation has suggested that AS programs that use APBSS surveillance data can contribute to the appropriate use of antimicrobial agents.

Indexed as

Antimicrobial stewardshipAutomated antimicrobial surveillanceDays of therapy

Identifiers

PMID41408367
PMCPMC12821170

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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.