Evidence map›Paper›PMID 36856898›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2023

Analysis of risk factors associated with healthcare-associated carbapenem-resistant Klebsiella pneumoniae infection in a large general hospital: a case-case-control study.

Wenzhi Huang, Fu Qiao, Yuhua Deng, Shichao Zhu, Jingwen Li, Zhiyong Zong, Wei Zhang

Open access · bronzeAbstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
1.5field-weighted citation impact, top 18% of its field
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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
  2. Determinants of Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2026
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Clinical characteristics, risk factors and prognosis ofFrontiers in cellular and infection microbiology · 2025
    Article
  11. Risk factors, and outcomes of patients with carbapenem-resistantFrontiers in cellular and infection microbiology · 2025
    Article
  12. Urinary Tract Infections with Carbapenem-ResistantAntibiotics (Basel, Switzerland) · 2024
    Article
  13. Article
  14. Article
  15. 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

7 authors at 1 institution in 1 country.

Wenzhi HuangInstitute of Hospital Management, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Fu QiaoDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Yuhua DengDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Shichao ZhuDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Jingwen LiDepartment of Infection Control, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Zhiyong ZongCenter of Infectious Diseases, West China Hospital, Sichuan University, Chengdu, Sichuan, China. zongzhiy@scu.edu.cn.ORCID http://orcid.org/0000-0002-7675-260X
Wei ZhangInstitute of Hospital Management, West China Hospital, Sichuan University, Chengdu, Sichuan, China. weizhang27@163.com.
Sichuan University · CN

Funding

National Natural Science Foundation of China 81861138055
6 · The paper itself

Abstract

Carbapenem-resistant Klebsiella pneumoniae (CRKP) infection is a major public health threat in the world. To inform the prevention and control of CRKP infection in hospitals, this study analyzed the factors associated with CRKP infection and resistance to carbapenems in K. pneumoniae. This case-case-control study was carried out in a large general hospital in China from January 2016 to December 2018, comprising 494 hospitalized patients infected with CRKP (case group 1) and 2429 hospitalized patients infected with carbapenem-susceptible K. pneumoniae (CSKP, case group 2). We selected control groups from hospitalized patients without K. pneumoniae infections for the two case groups separately, with a 1:3 case-control ratio, to analyze the risk factors of the two case groups using the conditional logistic regression. Multivariate analysis showed that the risk factors of CRKP infection were intensive care unit (ICU) admission (odds ratio [OR], 6.85; 95% confidence interval [CI], 4.90-9.58; P < 0.001), respiratory failure (OR, 1.93; 95% CI, 1.34-2.77; P < 0.001), age-adjusted Charlson comorbidity index (aCCI; OR, 1.08; 95% CI, 1.02-1.15; P = 0.007), admission from the Emergency (OR, 1.37; 95% CI, 1.02-1.85; P = 0.036), and imipenem use (OR, 1.80; 95% CI, 1.30-2.49; P < 0.001). Among the aforementioned five risk factors, aCCI (OR, 1.09; 95% CI, 1.06-1.13; P < 0.001) was also identified as a risk factor of CSKP infections in multivariate analysis. The risk factors for resistance to carbapenems in K. pneumoniae were ICU admission, respiratory failure, admission from the Emergency, and imipenem use.

Indexed as

Carbapenem-Resistant EnterobacteriaceaeCross InfectionKlebsiella InfectionsAnti-Bacterial AgentsCarbapenemsCase-Control StudiesDelivery of Health CareDrug Resistance, BacterialHospitals, GeneralHumansImipenemKlebsiella pneumoniaeRisk FactorsAnti-Bacterial AgentsCarbapenemsImipenemCarbapenem-resistant Klebsiella pneumoniaeCase-case-control studyHealthcare-associated infectionRisk factors

Identifiers

PMID36856898
PMCPMC9975449
OpenAlexW4322719073

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.