Classification and Drug Resistance Analysis of Pathogenic Bacteria in Patients with Bacterial Pneumonia in Emergency Intensive Care Unit

Author:

Yin Kai1,Liu Ling2ORCID,Fan Guofeng1ORCID

Affiliation:

1. Department of Emergency, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China

2. Department of Pneumology, Nanjing Drum Tower Hospital, The Affiliated Hospital of Nanjing University Medical School, Nanjing 210008, China

Abstract

Objective. This study aimed to compare the identification efficiency of metagenome next generation sequencing (mNGS) and traditional methods in detecting pathogens in patients with severe bacterial pneumonia (BP) and further analyze the drug resistance of common pathogens. Methods. A total of 180 patients with severe BP who were admitted to our hospital from June 2017 to July 2020 were selected as the research objects. Alveolar lavage fluid from the patients were collected, and pathogens were detected by the mNGS technology and traditional etiological detection technology. Common pathogens detected by mNGS were tested for the drug sensitivity test. The difference between mNGS and traditional detection method in the identification of pathogenic bacteria in severe BP patients was compared, and the distribution characteristics and drug resistance of pathogenic bacteria were analyzed. Results. The positive rate of mNGS detection was 92.22%, which was significantly higher than that of the traditional culture method (58.33%, P < 0.05 ). 347 strains of pathogenic bacteria were detected by mNGS, including 256 strains of Gram-negative bacteria (G−), 89 strains of Gram-positive bacteria (G+), and 2 strains of fungi. Among G− bacteria, Acinetobacter baumannii had higher resistance to piperacillin/tazobactam, ceftazidime, imipenem, levofloxacin, amikacin, ciprofloxacin, gentamicin, and the lowest resistance to tigecycline. The resistance of Klebsiella pneumoniae to piperacillin/tazobactam and ceftazidime was higher. Pseudomonas aeruginosa had low resistance to all the drugs. Escherichia coli had high drug resistance to most drugs, and the drug resistant rates to cefoperazone/sulbactam, piperacillin/tazobactam, ceftazidime, imipenem, and gentamicin were all more than 50.00%. G+ bacteria had high resistance to penicillin, azithromycin, amoxicillin and levofloxacin, and amoxicillin and levofloxacin had high resistance, up to 100.00%. Conclusion. mNGS has high sensitivity for the identification of pathogenic bacteria in patients with BP. G− bacteria were the main pathogens of BP, but both G− and G+ bacteria had high resistance to a variety of antibacterial drugs.

Publisher

Hindawi Limited

Subject

Radiology, Nuclear Medicine and imaging

Reference20 articles.

1. Pathogen distribution and drug resistance analysis of 469 children with severe bacterial pneumonia in our hospital;L. Li;Contemporary Chinese Medicine,2019

2. Investigation on risk factors of ventilator- associated pneumonia and infection pathogenic flora in ICU intensive care center of a hospital in Wenzhou;Z. L. Zhang;Practical Preventive Medicine,2020

3. Disease Burden and Etiologic Distribution of Community-Acquired Pneumonia in Adults: Evolving Epidemiology in the Era of Pneumococcal Conjugate Vaccines

4. Biomarkers of Community-Acquired Pneumonia: A Key to Disease Diagnosis and Management

5. Fifteen-minute consultation: the complexities of empirical antibiotic selection for serious bacterial infections—a practical approach

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