Evidence map›Paper›PMID 40824338›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2025

Evaluation of a digital remote extraction analysis and monitoring tool for key performance indicators (KPIs) in the blood culture process.

Claudio Palmieri, Laura Bartolini, Andrea Berlingeri, Barbara Camilloni, Gianfranco La Bella, Michela Pascarella, Marina Selleri, Felice Valzano, Chiara Vismara, Simone Ambretti and 6 more

Abstract readMulticenter StudyEvaluation Study
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

16 authors.

Claudio PalmieriBecton Dickinson Italia S.p.A, Milan, Italy.
Laura BartoliniMicrobiology and Virology Unit, Careggi University Hospital, Florence, Italy.
Andrea BerlingeriMicrobiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Barbara CamilloniDepartment of Medicine and Surgery, Medical Microbiology Section, University of Perugia, Perugia, Italy.
Gianfranco La BellaDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Michela PascarellaDepartment of Microbiology, San Bortolo Hospital, Vicenza, Italy.
Marina SelleriNational Institute for Infectious Diseases "L. Spallanzani" I.R.C.C.S, Rome, Italy.
Felice ValzanoDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy.
Chiara VismaraClinical Microbiology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Simone AmbrettiMicrobiology Unit, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Carla FontanaNational Institute for Infectious Diseases "L. Spallanzani" I.R.C.C.S, Rome, Italy.
Mario RassuDepartment of Microbiology, San Bortolo Hospital, Vicenza, Italy.
Gian Maria RossoliniMicrobiology and Virology Unit, Careggi University Hospital, Florence, Italy.
Fabio ArenaDepartment of Clinical and Experimental Medicine, University of Foggia, Foggia, Italy. fabio.arena@unifg.it.
Antonella MencacciDepartment of Medicine and Surgery, Medical Microbiology Section, University of Perugia, Perugia, Italy.
GLIPaC Working Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeBloodstream infections (BSIs) pose a significant health threat, requiring effective diagnostic processes to ensure appropriate treatment. Monitoring the quality of blood cultures (BCs) process (the cornerstone of BSIs etiological diagnosis) is critical. This study aimed to describe an automated tool, BD DREAM™ (Digital Remote Extraction Analysis & Monitoring), designed for monitoring key performance indicators (KPIs) in the BCs process.

methodsA multicenter study was conducted across six Italian hospitals, analyzing 234,978 BC bottles, associated with 55,819 episodes. The system monitored KPIs related to mean blood volume per bottle, rates of solitary episodes, rate of BCs from central venous catheter (CVC) unpaired with concomitant BCs from peripheral vein, and contamination rates.

resultsThe findings highlighted significant variability in BC practices among centers and hospital services, with mean blood volume per bottle below recommended standards (6.45 mL vs. ≥ 8.0 mL), with 21.8% (range 3.2-62.9%) of episodes classified as solitary. The rate of BCs from CVC unpaired with concomitant BCs from peripheral vein was 14.9% (range 10.2-39.0%). Overall, contamination rates ranged from 4.2 to 4.7%, depending on the criteria adopted for definition. The setting with the more critical values was medical area.

conclusionThe tool was useful for immediate visualization and identification of hospital services with critical performance. These results suggest that integrating BC digital monitoring tools into clinical microbiology workflows is possible. Further studies will be needed to demonstrate that the implementation of BD DREAM™ can lead to enhancement of diagnostic accuracy, optimization of resources allocation, and improvement of patient outcomes.

Indexed as

BacteremiaBlood CultureQuality Indicators, Health CareSepsisHospitalsHumansItalyBlood culturesBloodstream infectionsDiagnostic microbiologyKey performance indicators

Identifiers

PMID40824338
PMCPMC12619790

What OpenQuestion holds

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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.