Distribution of Pathogens in ICU Patients with Infectious Diseases Based on Metagenomics Next Generation Sequencing
Objective Analysis of pathogen distribution in intensive care unit (ICU)patients with infectious diseases based on metagenomic next generation sequencing (mNGS)data,providing a basis for clinical anti infection treatment. Method By reviewing and analyzing the results of mNGS reports of infectious diseases in Fuzhou,the etiological distribution in this area was discussed. Results A total of 1083 mNGS reports of infectious diseases were collected in this study,and the total detection rate was 85.50％. There are 172 kinds of pathogens and 1334 cases of pathogens. The species and number of bacteria detected are the most,followed by viruses. The number of Gram negative bacteria (60.29％) was more than that of Gram positive bacteria (39.71％). The first three Gram negative bacteria were Klebsiella pneumoniae (114 cases,22.75％),Acinetobacter baumannii (78 cases,15.57％),and Pseudo-monas aeruginosa (66 cases,13.17％);Gram positive bacteria were Enterococcus faecium (68 cases, 20.61％),Corynebacterium striatum (46 cases,13.94％)and Staphylococcus aureus (31 cases,9.39％). Candida albicans (79 cases,40.51％),Pneumocystis yersii (32 cases,16.41％)and Candida nearly smooth (16 cases,8.21％)were the top three fungi detected. DNA virus was the main virus detected, cytomegalovirus (71 cases,27.52％),human herpesvirus 1 (62 cases,24.03％)and Epstein-Barr virus (57 cases,22.09％)were the first three viruses detected;RNA viruses were human pegivirus virus (13 cases,43.33％),human coronavirus 229E (4 cases,13.33％),rhinovirus (3 cases,10.00％)and hu-man coronavirus HKU1 (3 cases,10.00％). Among atypical pathogens,psittacosis had the highest physical examination rate (11 cases,55.00％). Conclusion Gram negative bacteria are the main patho-gen in patients with infectious diseases in ICU,followed by viruses. Dynamic ICU monitoring of patho-gen distribution can help achieve reasonable and effective anti infection treatment.
metagenomic next generation sequencingintensive care unitetiology distribution
万方数据
维普
