Evidence map›Paper›PMID 38235610›Full record

ArticleJournal of clinical laboratory analysis2024

Blood culture quality and turnaround time of clinical microbiology laboratories in Chinese Teaching Hospitals: A multicenter study.

Wanting Liu, Kang Liao, Jinsong Wu, Suling Liu, Xin Zheng, Weihong Wen, Liang Fu, Xiaoyi Fan, Xiao Yang, Xiumei Hu and 12 more

Abstract readMulticenter Study
In one paragraph

Article in Journal of clinical laboratory analysis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  10. The impact of optimizing microbial diagnosis processes on clinical and healthcare economic outcomes in hospitalized patients with bloodstream infections.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024
    Article
  11. 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

22 authors.

Wanting LiuMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Kang LiaoDepartment of Laboratory Medicine, The First Affiliated Hospital of Sun Yat-sen University, Guangzhou, Guangdong, China.
Jinsong WuDepartment of Laboratory Medicine, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University; The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, China.
Suling LiuDepartment of Clinical Laboratory, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, Guangdong, China.
Xin ZhengState Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-sen University Cancer Center, Guangzhou, Guangdong, China.
Weihong WenDepartment of Laboratory Medicine, The Sixth Affiliated Hospital of Guangzhou Medical University, Qingyuan People's Hospital, Qingyuan, Guangdong, China.
Liang FuDepartment of Laboratory Medicine, The Fifth Affiliated Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Xiaoyi FanThe Clinical Microbiological Laboratory, The First Affiliated Hospital of Jinan University, Guangzhou, Guangdong, China.
Xiao YangDepartment of Laboratory Medicine, Guangzhou First People's Hospital, Guangzhou, Guangdong, China.
Xiumei HuDepartment of Laboratory Medicine, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-2760-734X
Yueting JiangDepartment of Laboratory Medicine, The First Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.
Kuihai WuDepartment of Laboratory Medicine, The First People's Hospital of Foshan, Foshan, Guangdong, China.
Zhusheng GuoClinical Microbiology Laboratory, Department of Dongguan Tungwah Hospital, Dongguan, Guangdong, China.
Yang LiDepartment of Laboratory Medicine, Zhongshan City People's Hospital, Zhongshan, Guangdong, China.
Weiyang LiuClinical Laboratory, The Third People's Hospital of Huizhou, Huizhou, Guangdong, China.
Mufa CaiThe Center for Laboratory Medicine, Affiliated Hospital of Guangdong Medical University, Zhanjiang, Guangdong, China.
Zhaowang GuoClinical Laboratory, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong, China.
Xuguang GuoDepartment of Clinical Laboratory Medicine, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0003-1302-5234
Jinghui LuLaboratory Medicine Department, The First Affiliated Hospital (School of Clinical Medicine), Guangdong Pharmaceutical University, Guangzhou, Guangdong, China.
Enzhong ChenMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Hongwei ZhouMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.
Dingqiang ChenMicrobiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, China.ORCID https://orcid.org/0000-0001-8717-1651

Funding

China Primary Health Care Foundation MTP2022D027National Natural Science Foundation of China 81974318
6 · The paper itself

Abstract

purposeBlood culture (BC) remains the gold standard for the diagnosis of bloodstream infections. Improving the quality of clinical BC samples, optimizing BC performance, and accelerating antimicrobial susceptibility test (AST) results are essential for the early detection of bloodstream infections and specific treatments.

methodsWe conducted a retrospective multicenter study using 450,845 BC specimens from clinical laboratories obtained from 19 teaching hospitals between 1 January 2021 and 31 December 2021. We evaluated key performance indicators (KPIs), turnaround times (TATs), and frequency distributions of processing in BC specimens. We also evaluated the AST results of clinically significant isolates for four different laboratory workflow styles.

resultsAcross the 10 common bacterial isolates (n = 16,865) and yeast isolates (n = 1011), the overall median (interquartile range) TATs of AST results were 2.67 (2.05-3.31) and 3.73 (2.98-4.64) days, respectively. The specimen collections mainly occurred between 06:00 and 24:00, and specimen reception and loadings mainly between 08:00 and 24:00. Based on the laboratory workflows of the BCs, 16 of the 19 hospitals were divided into four groups. Time to results (TTRs) from specimen collection to the AST reports were 2.35 (1.95-3.06), 2.61 (1.98-3.32), 2.99 (2.60-3.87), and 3.25 (2.80-3.98) days for groups I, II, III, and IV, respectively.

conclusionThis study shows the related BC KPIs and workflows in different Chinese hospitals, suggesting that laboratory workflow optimization can play important roles in shortening time to AST reports and initiation of appropriate timely treatment.

Indexed as

LaboratoriesSepsisBlood CultureHospitals, TeachingHumansLaboratories, ClinicalTime Factorsblood cultureclinical microbiology laboratorykey performance indicatorslaboratory workflowturnaround time

Identifiers

PMID38235610
PMCPMC10829685

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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.