Evidence map›Paper›PMID 39174950›Full record

Observational studyBMC microbiology2024

Retrospective analysis of molecular characteristics, risk factors, and outcomes in carbapenem-resistant Klebsiella pneumoniae bloodstream infections.

Yan Cheng, Qi Cheng, Rong Zhang, Jie-Ying Gao, Wei Li, Fu-Kun Wang, Zheng-Xin He, Qing-Qing Sun, Han-Bing Meng, Shu Yu

Abstract readObservational Study
In one paragraph

Observational study in BMC microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 3 pooled it
–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

20 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Risk factors for carbapenem-resistantFrontiers in public health · 2026
    Pooled it
  3. Pooled it
  4. Determinants of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  5. Article
  6. The Odyssey of macrophages.Biomedical journal · 2026
    Article
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  12. Clinical Epidemiological Analysis of the Genotypic Spectrum and Mortality Risk in Carbapenem-ResistantThe Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2026
    Review
  13. Article
  14. Article
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  17. FromFrontiers in medicine · 2025
    Article
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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

10 authors.

Yan Cheng *Department of Basic Medical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Qi Cheng *Department of Outpatient, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Rong ZhangDepartment of Outpatient, General Hospital of Southern Theatre Command of PLA, Guangzhou, 510010, China.
Jie-Ying GaoDepartment of Clinical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Wei LiDepartment of Clinical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Fu-Kun WangDepartment of Clinical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Zheng-Xin HeDepartment of Basic Medical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Qing-Qing SunDepartment of Basic Medical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Han-Bing MengDepartment of Basic Medical Laboratory, The 980th Hospital of the PLA Joint Logistical Support Force (Bethune International Peace Hospital), Shijiazhuang, 050081, China.
Shu YuDepartment of Laboratory Medicine, Chonggang General Hospital, Chongqing, 400081, China. ys13368146418@126.com.

Funding

The Key Research of the 980th Hospital No.FYJHZD-05
6 · The paper itself

Abstract

backgroundKlebsiella pneumoniae (KP) is the second most prevalent Gram-negative bacterium causing bloodstream infections (BSIs). In recent years, the management of BSIs caused by KP has become increasingly complex due to the emergence of carbapenem-resistant Klebsiella pneumoniae (CRKP). Although numerous studies have explored the risk factors for the development of CRKP-BSIs, the mortality of patients with KP-BSIs, and the molecular epidemiological characteristics of CRKP, the variability in data across different populations, countries, and hospitals has led to inconsistent conclusions. In this single-center retrospective observational study, we utilized logistic regression analyses to identify independent risk factors for CRKP-BSIs and factors associated with mortality in KP-BSI patients. Furthermore, a risk factor-based prediction model was developed. CRKP isolates underwent whole-genome sequencing (WGS), followed by an evaluation of microbiological characteristics, including antimicrobial resistance and virulence genes, as well as epidemiological characteristics and phylogenetic analysis.

resultsOur study included a total of 134 patients with KP-BSIs, comprising 50 individuals infected with CRKP and 84 with carbapenem-susceptible Klebsiella pneumoniae (CSKP). The independent risk factors for CRKP-BSIs were identified as gastric catheterization (OR = 9.143; CI = 1.357-61.618; P = 0.023), prior ICU hospitalization (OR = 4.642; CI = 1.312-16.422; P = 0.017), and detection of CRKP in non-blood sites (OR = 8.112; CI = 2.130-30.894; P = 0.002). Multivariate analysis revealed that microbiologic eradication after 6 days (OR = 3.569; CI = 1.119-11.387; P = 0.032), high Pitt bacteremia score (OR = 1.609; CI = 1.226-2.111; P = 0.001), and inappropriate empirical treatment after BSIs (OR = 6.756; CI = 1.922-23.753; P = 0.003) were independent risk factors for the 28-day mortality in KP-BSIs. The prediction model confirmed that microbiologic eradication after 6.5 days and a Pitt bacteremia score of 4.5 or higher were significant predictors of the 28-day mortality. Bioinformatics analysis identified ST11 as the predominant CRKP sequence type, with bla

conclusionsThe analysis of risk factors for developing CRKP-BSIs and the association between KP-BSIs and 28-day mortality, along with the development of a risk factor-based prediction model and the characterization of CRKP strains, enhances clinicians' understanding of the pathogens responsible for BSIs. This understanding may help in the timely administration of antibiotic therapy for patients with suspected KP-BSIs, potentially improving outcomes.

Indexed as

Anti-Bacterial AgentsBacteremiaCarbapenemsKlebsiella InfectionsKlebsiella pneumoniaeAdultAgedAged, 80 and overCarbapenem-Resistant EnterobacteriaceaeFemaleHumansMaleMicrobial Sensitivity TestsMiddle AgedPhylogenyRetrospective StudiesAnti-Bacterial AgentsCarbapenemsVirulence FactorsBloodstream infectionsCarbapenem-resistant Klebsiella pneumoniaeNosocomial transmissionRisk factorsVirulence genes

Identifiers

PMID39174950
PMCPMC11340057

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LicenceCC BY-NC-ND
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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.