Evidence map›Paper›PMID 42819223›Full record

ArticleFrontiers in cellular and infection microbiology2026

The impact of multicenter microbiology laboratory workflow optimization on antimicrobial susceptibility testing reporting time and outcomes of patients with bloodstream infection.

Jing Shao, Shuhong Sun, Lijuan Liu, Jing Li, Renzhe Li, Haixin Dong, Yujie Wang, Guixia Li, Chunzhong Dong, Maoli Yi and 1 more

Abstract readMulticenter Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in cellular and infection microbiology, 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Jing ShaoDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.
Shuhong SunDepartment of Laboratory Medicine, Linyi People's Hospital, Linyi, Shandong, China.
Lijuan LiuDepartment of Clinical Laboratory, The Affiliated People's Hospital of Shandong First Medical University, Jinan, Shandong, China.
Jing LiDepartment of Clinical Laboratory, The Afffliated Hospital of Qingdao University, Qingdao, Shandong, China.
Renzhe LiDepartment of Clinical Laboratory, Jining No.1 People's Hospital, Jining, Shandong, China.
Haixin DongDepartment of Clinical Laboratory, Affiliated Hospital of Jining Medical University, Jining, Shandong, China.
Yujie WangDepartment of Clinical Laboratory, Qingdao Municipal Hospital, Qingdao, Shandong, China.
Guixia LiThe Laboratory Department of Heze Municipal Hospital, Heze, Shandong, China.
Chunzhong DongDepartment of Clinical Laboratory, Binzhou People's Hospital, Binzhou, Shandong, China.
Maoli YiDepartment of Clinical Laboratory, Yantai Yuhuangding Hospital, Yantai, Shandong, China.
Yan JinDepartment of Clinical Laboratory, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bloodstream infections (BSIs) are life-threatening disorders linked to substantial global mortality, and timely pathogen identification (ID) and antimicrobial susceptibility testing (AST) are indispensable for targeted clinical management. Blood culture (BC) remains the gold-standard diagnostic approach, but conventional workflows often lead to prolonged turnaround times (TAT) and delayed targeted therapy. This multicenter retrospective study aimed to evaluate the impact of the BC workflow optimization strategy in 10 tertiary hospitals in Shandong Province, China. The intervention included 24/7 uninterrupted specimen processing, rapid MALDI-TOF MS ID after short incubation periods of 6-8 h with results reporting, and second-day MALDI-TOF MS ID post-BC positivity with results reporting. A total of 1, 826 adult BSI patients were enrolled, with 942 in the pre-optimization group and 884 in the post-optimization group. The primary outcomes were BC TAT metrics, while secondary outcomes included pathogen distribution, antibiotic use, clinical outcomes, and healthcare costs. Compared with the pre-optimization group, the time from blood collection to the reporting of Gram-stain, MALDI-TOF MS ID and final AST were reduced by 13.4 h, 11.0 h and 18.5 h, respectively, in the optimized group. The median AST TAT for major pathogens decreased from 70.26 h to 51.14 h. Patients in the post-optimization group exhibited lower all-cause in-hospital mortality (

Indexed as

BacteremiaSepsisWorkflowAdultAgedAnti-Bacterial AgentsBacteriaBlood CultureChinaFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedRetrospective StudiesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationAnti-Bacterial Agentsantimicrobial susceptibility testingblood culturebloodstream infectionmulticenter studyturnaround timeworkflow optimization

Identifiers

PMID42819223
PMCPMC13623717

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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.