Evidence map›Paper›PMID 40815165›Full record

Trial reportMicrobiology spectrum2025

Randomized controlled diagnostic trial to assess dRAST time to result and its utility for antimicrobial stewardship recommendation in bacteremic patients.

Ana Verónica Halperin, Rosa Escudero, María García-Castillo, María José Cardenas-Isasi, Francesca Gioia, Javier Cobo, Ana María Sánchez-Díaz, Rafael Cantón

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Microbiology spectrum, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Clinical impact of rapid antimicrobial susceptibility testing in patients with bacteremia due to gram-negative bacilli.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 2026
    Article
  3. Article
  4. Article
  5. Diagnostic stewardship in sepsis: minding the gap from the microbiology lab to ward.Revista espanola de quimioterapia : publicacion oficial de la Sociedad Espanola de Quimioterapia · 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

8 authors.

Ana Verónica HalperinServicio de Microbiología, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.ORCID 0000-0003-3652-7915
Rosa EscuderoServicio de Enfermedades Infecciosas, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.ORCID 0000-0001-5736-8111
María García-CastilloServicio de Microbiología, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
María José Cardenas-IsasiServicio de Microbiología, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
Francesca GioiaServicio de Enfermedades Infecciosas, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
Javier CoboServicio de Enfermedades Infecciosas, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.
Ana María Sánchez-DíazService de Microbiología, Araba University Hospital, Osakidetza Basque Health Service, Vitoria-Gasteiz, Spain.ORCID 0000-0001-5625-6900
Rafael CantónServicio de Microbiología, Hospital Ramón y Cajal and Instituto Ramón y Cajal de Investigación Sanitaria (IRYCIS), Madrid, Spain.ORCID 0000-0003-1675-3173

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections cause great mortality and morbidity. Real-time microbiological information has been shown to have an impact on prognosis when combined with an antimicrobial stewardship (AMS) program. dRAST is a rapid commercial antimicrobial susceptibility testing (AST) system based on real-time microscopy. The primary outcome of this trial was to compare positive blood culture's time-to-result (TTR), defined as time from Gram stain to AST report, between dRAST and our standard of care in a real-life clinical setting. Secondary outcomes included microbiological concordance, time to antimicrobial stewardship recommendation (TAMS), and time to change antimicrobial prescription (TCAP) in agreement with AMS recommendation. We performed a prospective, open-label, randomized (1:1) diagnostic clinical trial comparing dRAST and our standard of care commercial MicroScan broth microdilution (MBMD) (MicroScan-Walkaway, Beckman-Coulter, USA) in 277 hospitalized patients with bacteremia. Categorical and continuous variables were compared by chi-squared and Mann-Whitney IMPORTANCE: This study addresses a critical challenge in infectious diseases management by evaluating the efficacy of the dRAST system, a rapid antimicrobial susceptibility testing method, in guiding antimicrobial stewardship programs for patients with bloodstream infections. A randomized diagnostic trial was designed to address this objective. Our findings show that the use of dRAST significantly reduces time-to-result, time to antimicrobial stewardship recommendations, and time to appropriate therapy changes, particularly in critically ill patients. These results underline the potential of rapid diagnostic technologies to optimize patient outcomes and enhance antimicrobial stewardship efforts in real-world clinical settings.

Indexed as

Anti-Bacterial AgentsAntimicrobial StewardshipBacteremiaAdultAgedAged, 80 and overBlood CultureFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedProspective StudiesTime FactorsAnti-Bacterial Agentsantimicrobial stewardshipbacteremiablood culturerapid ASTrapid tests

Identifiers

PMID40815165
PMCPMC12502579

What OpenQuestion holds

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LicenceCC BY
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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.