Evidence map›Paper›PMID 39472675›Full record

ArticleScientific reports2024

Correlation between intestinal CRE colonization and consequent systemic infection in hospitalized patients in China.

Yuanyuan Xiao, Juping Duan, Caixia Tan, Ju Zou, Siyao Chen, Ting Liu, Lina Zhang, Xin Chen, Yajing Xu, Yuanyuan Li and 2 more

Erratum issuedAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

12 authors.

Yuanyuan XiaoDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Juping DuanChangsha Hospital of Traditional Chinese Medicine, Hunan University of Traditional Chinese Medicine, Changsha, Hunan Province, China.
Caixia TanDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Ju ZouDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Siyao ChenDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Ting LiuDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China.
Lina ZhangNational Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha, Hunan Province, China.
Xin ChenNational Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha, Hunan Province, China.
Yajing XuNational Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha, Hunan Province, China.
Yuanyuan LiNational Clinical Research Center for Geriatric Disorders (Xiangya Hospital), Changsha, Hunan Province, China.
Anhua WuDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China. xywuanhua@csu.edu.cn.
Chunhui LiDepartment of Infection Control Center, Xiangya Hospital, Central South University, Changsha, Hunan Province, China. lichunhui@csu.edu.cn.

Funding

Changsha Science and Technology Plan Project kq2202059Health Development Research Center of the National Health Commission, "Evidence-based Evaluation and Demonstration Base Construction Project of Infection Control Measures in Healthcare Institutions" CNHDRC-KJ-L-2020-53-04375National Key Research and Development Program of China 2022YFC2009801National Key Research and Development Program of China 2022YFC2009805Natural Science Foundation of Hunan Province 2021JJ31071
6 · The paper itself

Abstract

It is generally believed that Carbapenem-resistant Enterobacterales (CRE) colonization is primarily responsible for systemic infection in humans. However, there is no consensus on whether decolonization should be recommended in clinical practice. In China, the specific situation of CRE colonization and consequent systemic infection in hospitalized patients necessitates further exploration. We conducted a cohort study and analyzed various clinical characteristics of inpatients with intestinal CRE colonization. A risk prediction model for consequent CRE infection was established and externally validated. Our prediction model is freely available online at https://creinfection.shinyapps.io/dynnomapp/ . 839 intestinal CRE colonization samples from inpatients were included. 317 cases of intestinal CRE colonization were enrolled, 25.9% of whom developed systemic infections. The consequent CRE infection rates of Klebsiella pneumoniae and Escherichia coli were 27.0% and 32.3%. The departments at high risk for subsequent CRE infection were respiratory medicine, hematology, and intensive care unit. Secondary infection after intestinal CRE colonization in inpatients can significantly prolong the length of hospital stay (26 days vs. 33 days, P < 0.001), increase the total medical cost (144735.34¥ vs. 281852.34¥, P < 0.001), and has poor (85.11% vs. 52.44%, P < 0.001) efficacy and high mortality (5.96% vs. 18.29%, P = 0.001). Our study makes a significant contribution to comprehensively specify CRE infection, because these results can facilitate early identification of high-risk hospitalized patients, timely implementation to decolonize treatment interventions, ultimately achieve the goal of CRE nosocomial infection prevention and control.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeAdultAgedAnti-Bacterial AgentsChinaCross InfectionEnterobacteriaceae InfectionsEscherichia coliFemaleHospitalizationHumansIntestinesKlebsiella pneumoniaeMaleMiddle AgedRisk FactorsAnti-Bacterial AgentsCarbapenem-resistant EnterobacteralesColonizationCREInfectionPrediction model

Identifiers

PMID39472675
PMCPMC11522463

What OpenQuestion holds

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Registered trials

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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.