Carbapenem-Resistant Klebsiella pneumoniae Infections among ICU Admission Patients in Central China: Prevalence and Prediction Model

Joint Authors

Li, Yi
Shen, Hui
Zhu, Cheng
Yu, Yuetian

Source

BioMed Research International

Issue

Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2019-03-27

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Medicine

Abstract EN

Objective.

To investigate the prevalence of infections due to carbapenem-resistant Klebsiella pneumoniae (CRKP) among ICU admission patients in central China and develop a reliable prediction model.

Methods.

Five hundred and seven consecutive ICU admission patients with Klebsiella pneumoniae (KP) infection were enrolled in this retrospective multicenter case-control study from January 2014 to June 2018.

The prevalence and antimicrobial susceptibility pattern were analyzed.

Multivariate analysis was performed by logistic regression modeling to determine the risk factors.

A prediction model was developed and verified using data from six hospitals in central China.

Results.

Of the total 507 isolates of KP, 244 (48.1%) strains were carbapenem resistant.

The majority of these isolates were from sputum (30.9%) and blood (20.9%) samples.

Tigecycline had good activity against CRKP (95.5%).

The most common sequence type (ST) of CRKP was ST11 (84.4%), and 98.6% of them had the blaKPC-2 antimicrobial resistance gene.

Thirteen variables were identified as independent risk factors for CRKP infection, including KP colonization or infection in the preceding year (OR=3.32, 95% CI 2.01-4.38), CD4/CD8 ratio <1 (OR=2.98, 95% CI 2.02-4.19), and parenteral nutrition ⩾48 h (OR=1.88, 95% CI 1.22-3.04).

The model developed to predict CRKP infection was effective, with an area under the receiver-operating characteristic curve of 0.854 (95% CI 0.821-0.884, p<0.001).

Conclusions.

ST11 carrying the blaKPC-2 antimicrobial resistance gene was the most common type of CRKP among the ICU admission patients in central China.

The model demonstrated excellent predictive performance and exhibited good discrimination.

American Psychological Association (APA)

Li, Yi& Shen, Hui& Zhu, Cheng& Yu, Yuetian. 2019. Carbapenem-Resistant Klebsiella pneumoniae Infections among ICU Admission Patients in Central China: Prevalence and Prediction Model. BioMed Research International،Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1128827

Modern Language Association (MLA)

Li, Yi…[et al.]. Carbapenem-Resistant Klebsiella pneumoniae Infections among ICU Admission Patients in Central China: Prevalence and Prediction Model. BioMed Research International No. 2019 (2019), pp.1-10.
https://search.emarefa.net/detail/BIM-1128827

American Medical Association (AMA)

Li, Yi& Shen, Hui& Zhu, Cheng& Yu, Yuetian. Carbapenem-Resistant Klebsiella pneumoniae Infections among ICU Admission Patients in Central China: Prevalence and Prediction Model. BioMed Research International. 2019. Vol. 2019, no. 2019, pp.1-10.
https://search.emarefa.net/detail/BIM-1128827

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1128827