IJCEMR

Article http://dx.doi.org/10.26855/ijcemr.2024.04.007

Bacterial Infection of Burn Patients and Their Drug-resistance in South Jiangsu China During 2012-2016

TOTAL VIEWS: 1423

Jie Zhu, Xing Wu, Kewei Wang, Fenglai Yuan, Jiehong Shen*

Affiliated Hospital of Jiangnan University, Wuxi, Jiangsu, China.

*Corresponding author: Jiehong Shen

Published: May 22,2024

Abstract

Objective: Burn infection is the main cause of morbidity and mortality among burn patients; thus, the control of this type of disease is very important to decrease nosocomial infections. Many opportunistic pathogens are not directly involved in the infection of burn patients, but the drug resistance of these pathogens has been changing worldwide. Methods: In this study, we retrospectively analysed the main bacteria and their drug-resistance that caused infection in burn patients in South Jiangsu China during 2012-2016 by using WHONET 5.6 software, Automatic instrument (France BIOMERIEUX Vitek 2 Compact 30) and SPSS 19.0 software. Results: The results revealed that 5329 strains were significantly isolated during the five years with Gram-negative bacteria, Gram-positive bacteria, and fungi accounting for 65.47%, 32.17% and 2.36% of the isolated strains, respectively. The top 3 predominant pathogens of these isolated strains were Staphylococcus aureus (23.29%), Pseudomonas aeruginosa (20.25%), and Acinetobacter baumannii (19.70%). In addition, among these bacteria, we found P. aeruginosa showed the highest drug resistance to Cefoperazone/Sulbactam, Imipenem, Levofloxacin, and Piperacillin/Tazobactam in 2014. Acinetobacter baumannii had the highest drug resistance to Ceftriaxone, Cefoperazone/Sulbactam, Imipenem, and Piperacillin/Tazobactam in 2014. S. aureus showed the highest drug resistance to Oxacillin in 2014. Conclusion:  In total, our data showed that the majority of bacteria infecting burn patients included S. aureus, P. Aeruginosa, and A. baumannii, and their drug resistance for some antibiotics is in-creasing, which is valuable information for both the prevention and treatment of infection caused by these bacteria.

References

[1] Chen Kun, et al. Epidemiological characteristics of paediatric burn patients in China from 2016 to 2019: a retrospective study [J]. BMJ Paediatrics Open, 2023, 7(1)

[2] Jiang Fengli, et al. Analysis of pathogen distribution and antimicrobial resistance at infected sites in plastic surgery [J]. Journal of Cosmetic Dermatology, 2023, 22(5): 1575-1584.

[3] Dou Y, Huan J, Guo F, Zhou Z, Shi Y. Pseudomonas aeruginosa prevalence, antibiotic resistance and antimicrobial use in Chinese burn wards from 2007 to 2014. J Int Med Res., 2017; 45:1124-37.

[4] Dai JX, Li L, Xu L, Chen ZH, Li XY, Liu M, et al. Analysis of distribution and drug resistance of pathogens isolated from 541 hospitalized children with burn infection. Zhonghua Shao Shang Za Zhi, 2016; 32:670-5.

[5] Ahmadi K, Hashemian AM, Pouryaghobi SM, Akhavan R, Rozmina S, Bolvardi E. Antibiotic Resistance Properties of Pseudo-monas aeruginosa Isolated From Cases of Superficial Infections at the Emergency Unit. Jundishapur J Microbiol., 2016; 9:e27646.

[6] Amaraporn Rerkasem et al. A COVID-19 Silver Lining—Decline in Antibiotic Resistance in Ischemic Leg Ulcers during the Pandemic: A 6-Year Retrospective Study from a Regional Tertiary Hospital (2017-2022) [J]. Antibiotics, 2023, 13(1).

[7] Cleland Heather et al. Patterns of multidrug resistant organism acquisition in an adult specialist burns service: a retrospective review [J]. Antimicrobial Resistance & Infection Control, 2022, 11(1): 82.

[8] Furlan João Pedro Rueda and Stehling Eliana Guedes. Predicting tigecycline susceptibility in multidrug-resistant Klebsiella species and Escherichia coli strains of environmental origin [J]. Brazilian Journal of Microbiology: publication of the Brazilian. 

[9] Luz Cuello, et al. Poor Sensitivity of the MALDI Biotyper ® MBT Subtyping Module for Detection of Klebsiella pneumoniae  Carbapenemase (KPC) in  Klebsiella  Species [J]. Antibiotics, 2023, 12(9).

[10] Annabel F Niessen and Annemarijn R de Boer and Cornelis H van Werkhoven. Determining the effect of pneumococcal vaccination on antibiotic prescriptions: is prescription sequence symmetry analysis a valid approach? [J]. Clinical Microbiology and Infection: The Official Publication of the European Society of Clinical Microbiology and Infectious Diseases, 2023.

[11] Feretzakis Georgios, et al. Using Machine Learning to Predict Antimicrobial Resistance of Acinetobacter Baumannii, Klebsiella Pneumoniae and Pseudomonas Aeruginosa Strains [J]. Studies in health technology and informatics, 2021, 281: 43-47.

[12] BEŞLİ Yeşim, et al. Molecular Epidemiology and Clinical Characteristics of Metallo-beta-lactamase Producing Pseudomonas aeruginosa Isolates [J]. Mediterranean Journal of Infection Microbes and Antimicrobials, 2019.

How to cite this paper

Bacterial Infection of Burn Patients and Their Drug-resistance in South Jiangsu China During 2012-2016

How to cite this paper: Jie Zhu, Xing Wu, Kewei Wang, Fenglai Yuan, Jiehong Shen. (2024) Bacterial Infection of Burn Patients and Their Drug-resistance in South Jiangsu China During 2012-2016International Journal of Clinical and Experimental Medicine Research8(2), 232-238.

DOI: http://dx.doi.org/10.26855/ijcemr.2024.04.007