Evidence map›Paper›PMID 39867289›Full record

ArticleInfection and drug resistance2025

Clinical Characteristics and Risk Factors for Multidrug-Resistant

Mei Han, Miaomiao Hua, Hui Xie, Jia Li, Yijun Wang, Han Shen, Xiaoli Cao

Abstract read
In one paragraph

Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

7 authors.

Mei Han *Department of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People's Republic of China.
Miaomiao Hua *Department of Laboratory Medicine, The Affiliated Fuyang Hospital of Anhui Medical University, Fuyang, Anhui, People's Republic of China.
Hui XieDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People's Republic of China.
Jia LiDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People's Republic of China.
Yijun WangNanjing Field Epidemiology Training Program, Nanjing Municipal Center for Disease Control and Prevention, Nanjing, Jiangsu, People's Republic of China.
Han ShenDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People's Republic of China.
Xiaoli CaoDepartment of Laboratory Medicine, Nanjing Drum Tower Hospital, the Affiliated Hospital of Nanjing University Medical School, Nanjing, Jiangsu, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study aimed to analyze the antimicrobial resistance profiles, clinical characteristics and risk factors of bacteremia caused by Methods: We retrospectively collected clinical data from patients diagnosed with ECC bacteremia between 2013 and 2022 in a tertiary hospital in Jiangsu. Subgroup analyses were performed based on multidrug resistance (MDR), nosocomial acquisition, polymicrobial bacteremia, and mortality. Results: Among 188 ECC strains, the highest resistance was to ceftriaxone (39.9%), followed by ceftazidime (36.7%) and aztreonam (31.2%), with low resistance to carbapenems (<8.6%) and amikacin (1.6%). MDR ECC accounted for 30.9% (58/188). Previous antibiotic therapy was an independent risk factor for MDR ECC (OR = 3.193, Conclusion: Carbapenems and amikacin are the most effective treatments for ECC bacteremia. Previous antibiotic therapy increases the risk of MDR ECC, while appropriate antibiotic therapy reduces it. ICU admission is an independent risk factor for polymicrobial bacteremia, both endoscopy and blood transfusion are linked to higher mortality. Effective control of MDR ECC bacteremia requires comprehensive strategies, including resistance detection, risk factor identification, and infection prevention.

Indexed as

bacteremiaclinical characteristicsEnterobacter cloacae complexmultidrug-resistancerisk factors

Identifiers

PMID39867289
PMCPMC11766150

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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.