The multi-drug resistant pathogenic microorganisms of stroke-associated pneumonia will be analyzed using high-throughput sequencing technology
Objective This study aims to employ high-throughput sequencing technology to analyze the characteristics of pathogenic microorganisms in stroke-associated pneumonia(SAP)infected tissues,elucidate the extent of multi-drug resistance(MDR),and establish a rapid and accurate method for identifying and treating pathogens in clinical lung tissue infections.Methods From January 2022 to December 2023,a total of 130 patients with MDR infections were selected as the subjects for this study.Respiratory tract samples were collected from all patients,and high-throughput sequencing technology was utilized to identify pathogenic microorganisms to elucidate bacterial characteristics.Additionally,drug sensitivity testing was conducted to analyze the MDR profiles.Another group of 30 SAP patients without MDR infections was selected as the control group,allowing for comparison and analysis of risk factors associated with MDR in SAP patients.Results A total of 189 strains of pathogens were detected in 130 SAP patients with MDR,including 99 strains of gram-negative bacilli,accounting for 30.16％of Gram-positive cocci,accounting for 11.64％of fungi,and accounting for 5.82％of other types of bacteria or microorganisms.Primary drug resistance of Gram-negative bacilli:The rates of drug resistance in Stenotrophomonas maltophilia to ceftazidime,ticarcillin,and meropenem exceeded 60％,with the resistance rate to ticarcillin reaching up to 80％.The resistance rate of Serratia marcescens to ceftazidime and cefthienaztreonam was greater than 60％.Over 60％of Klebsiella pneumoniae isolates exhibited resistance towards ceftazidime,cephalothin,ceftriaxone,and cefepime.Primary resistance of Gram-positive cocci:The resistance rates of Staphylococcus aureus to penicillin G,oxacillin,ampicillin,and teicoplanin exceeded 60％,with the highest resistance rate observed for penicillin G(75％).The resistance rates of Enterococcus faecium to penicillin G,oxacillin,erythromycin,ampicillin,and vancomycin were over 75％,while the resistance rates to penicillin G,ampicillin,erythromycin,and vancomycin surpassed 80％.Streptococcus pneumoniae exhibited drug resistance rates exceeding 65％against penicillin G,oxacillin,erythromycin compound sulfamethoxazole,and ampicillin;notably high drug resistance was observed for penicillin G and oxacillin(83.33％).The results of the Logistic regression analysis revealed that advanced age,positive use of prophylactic antibiotics,presence of two or more types of infection bacteria,and a history of diabetes were identified as significant risk factors for MDR infections in patients with SAP(P＜0.05).Conclusion High-throughput sequencing technology can precisely identify pathogenic microorganisms and bacterial flora characteristics in SAP-infected tissues,comprehensively detecting drug-resistance sites.With significant advantages and expandability,it is highly recommended for clinical applications.
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