Analysis of Multi-Drug Resistant Organism Surveillance and Antimicrobial Resistance Early Warning in a Hospital in 2022
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Antimicrobial resistance
Early warning
Multi-drug resistant organism



Submitted : 2023-04-30
Accepted : 2023-05-15
Published : 2023-05-30


Objective: To determine the clinical distribution of multi-drug resistant organism (MDRO) in Jiangyan Hospital and the monitoring and warning of drug-resistance bacteria to provide an important basis for guiding the application of broad-spectrum antibiotics in clinical treatment and reducing the occurrence of nosocomial infection. Methods: Retrospective screening and analysis were conducted on the pathogenic strains of hospitalized patients in our hospital in 2022. Results: A total of 2,769 strains of pathogenic bacteria and 390 strains of MDRO were detected and isolated in our hospital in 2022; the detection rate of MDRO was 14.08%. A total of 516 strains (18.64%) Klebsiella pneumoniae (KP) and 62 strains (12.02%) of carbapenem-resistant Klebsiella pneumoniae (CR-KP) were detected; 436 strains (15.75%) of Escherichia coli (ECO) were detected, including 8 strains (1.83%) of CR-ECO; 342 strains (12.35%) of Pseudomonas aeruginosa (PA) and 116 strains (33.92%) of CR-PA were detected; there were 194 strains (7.01%) of Acinetobacter baumannii (AB), among which 125 strains (64.43%) were CR-AB; there were 291 strains (10.51%) of Staphylococcus aureus, among which 79 strains (27.15%) of methicillin-resistant Staphylococcus aureus (MRSA) were detected; 78 strains (2.82%) of Enterococcus faecalis were detected, and vancomycin-resistant enterococcus (VRE) was not detected. The first five MDROs were CR-AB, CR-PA, MRSA, CR-KP, and CR-ECO. The top five departments with the highest MDRO detection rate in 2022 were the ICU (37.44%), the Pulmonology Department (ward 13; 31.03%), the Department of Rehabilitation (ward 5; 6.67%), the Department of Neurosurgery (ward 11; 4.62%), and the Department of General Surgery (ward 10; 3.59 The resistance rate of antibacterial drugs is divided into four levels for early warning: 30% to 40%, 41% to 50%, 51% to 75%, and 75% or more. Conclusion: Our hospital should strengthen the monitoring of antimicrobial resistance warning related to MDRO and the abuse of antimicrobial drugs. Based on the results of drug sensitivity and antimicrobial resistance warning, the use of antibiotics should be standardized in clinical practice to reduce nosocomial infection.


Liu X, 2018, Research on Direct Economic Burden of Hospital-Acquired Infection Caused by Drug-Resistant Bacteria in Tertiary Public Hospitals in Hubei Province, thesis, Wuhan University.

Wang B, 2011, The Current Situation and Prevention Strategies of Bacterial Drug Resistance. China Health Industry, 8(30): 125.

Shang H, Wang Y, Shen Z, 2015, National Clinical Laboratory Operation Procedures 4th Edition, People’s Medical Publishing House, Beijing, 560–681.

He Y, Wang W, Tan J, et al., 2022, Clinical Distribution Characteristics and Drug Resistance Analysis of Multidrug-Resistant Bacteria in a Tertiary Hospital in Chengdu. Advances in Modern Biomedicine, 22(03): 458 + 500–505.

Liao Y, Wu X, 2020, Analysis of Etiology and Drug Resistance of Stroke-Related Pneumonia. Journal of Bengbu Medical College, 45(02): 219–222.

Peng J, 2014, Surveillance and Early Warning of Target Bacterial Resistance in a Tertiary Pediatric Hospital in 2013, thesis, Taishan Medical College.

Han F, Xie X, 2022, Multi-Drug Resistant Bacteria Infection and Drug Sensitivity Analysis in Burn Patients. Chinese Journal of Pathogenic Biology, 17(12): 1438–1441.

National Health Commission Rational Drug Use Expert Committee, 2021, 2019 National Bacterial Drug Resistance Surveillance Report. Exploration of Rational Drug Use in China, 18(03): 1–11.

Zhang Y, Peng L, Huang L, 2021, The Detection Status and Drug Resistance of Multi-Drug Resistant Bacteria in a Military Hospital in Guangdong in 2019. Southeast Defense Medicine, 23(01): 45–49.

Qiao H, 2021, Surveillance Analysis of Multi-Drug Resistant Bacteria in Hospitals from 2016 to 2020. Chinese Journal of Health Inspection, 31(10): 1261–1264.

You Y, Wang J, Wang X, et al., 2020, Department Distribution Characteristics and Drug Resistance Analysis of Common Multidrug-Resistant Bacteria in a Tertiary General Hospital in 2018. International Journal of Laboratory Medicine, 41(05): 548–553 + 558.

Xing M, Fu L, Fu Q, 2022, Research on the Distribution of Multi-Drug Resistant Bacteria in Hospital Infection. Chinese Modern Medicine Application, 16(23): 83–85.

Wang Y, Zhou Z, Huang Z, et al., 2020, Investigation into an Outbreak of Healthcare-Associated Infection Caused by Carbapenem-Resistant Acinetobacter Baumannii and Analysis of Risk Factors. Chinese Journal of Infection and Chemotherapy, 20(3): 259–265.

Xu N, 2019, Risk Factors Analysis and Intervention Countermeasures of Ventilator Associated Pneumonia Caused by Multi-Drug Resistant Non-Fermentative Bacteria in Intensive Care Unit. J Chin Pulmo Med, 24(12): 2245–2249.

Fernandes M, Vira D, Medikonda R, et al., 2016, Extensively and Pan-Drug Resistant Pseudomonas Aeruginosa Keratitis: Clinical Features, Risk Factors, and Outcome. Graefes Arch Clin Exp Ophthalmol, 254(2): 315–322.

Chen X, Li Y, Zhao L, et al., 2022, Drug Resistance and Clinical Distribution of Carbapenem-Resistant Klebsiella Pneumoniae in a Hospital. Hebei Medicine, 44(08): 1260–1263.

Liu R, Li B, Huang Y, et al., 2022, Clinical Analysis of Risk Factors Related to Carbapenem-Resistant Klebsiella Pneumonia. Journal of Clinical Pulmonology, 27(12): 1890–1895.