ObjectiveTo study the application of non-real-time ultrasound bronchoscopy combined with Metagenomic Next-Generation Sequencing (mNGS) for diagnosis in focal pulmonary infectious diseases. MethodsProspective inclusion of patients with focal pulmonary infection were randomly divided into two groups, the experimental group used non-real-time ultrasound bronchoscopy positioning to collect bronchial alveolar lavage fluid (BALF), while the control group used chest CT position. BALF was subjected to mNGS and traditional microbial detection including traditional culture, the fungal GM test and Xpert (MTB/RIF). ResultThe positive rate of traditional culture (39.58% vs. 16.67%, P=0.013) and mNGS (89.58% vs. 72.92%, P=0.036) in experimental group was higher. The positive rate of Xpert MTB/RIF (4.17% vs. 2.08%, P=1) and fungal GM test (6.25% vs. 4.17%, P=0.765) was similar. The positive rate of bacteria and fungi detected by mNGS was higher than traditional culture (61.46% vs. 28.13%, P<0.001). Mycobacterium tuberculosis was similar to Xpert MTB/RIF (8.33% vs. 3.13%, P=0.21). Aspergillus was similar to GM test (7.29% vs. 5.21%, P=0.77). The total positive rate of traditional microbial methods was 36.46%, but 81.25% in mNGS (P<0.001). mNGS showed that 35 cases were positive and 13 kinds of pathogens were detected in control group, but 43 patients and 17 kinds of pathogens were detected in experimental group. The average hospitalization time [(12.92±3.54) days vs. (16.35±7.49) days] and the cost [CNY (12209.17±3956.17) vs. CNY (19044.10±17350.85)] of experimental group was less (P<0.001). ConclusionsNon-real-time ultrasound bronchoscopy combined with mNGS can improve the diagnostic rate of focal pulmonary infectious diseases which is worthy of popularization and application in clinical practice.
In recent years, with the wide application of metagenomics next-generation sequencing, more and more rare pathogens have been detected in our clinical work, including non-tuberculous Mycobacterium, Corynebacterium, Fusarium, Cryptococcus pneumoniae, human herpes virus, torque teno virus, parvovirus, Tropheryma whipplei, Bartonella, Chlamydia psittaci, etc. It is difficult to determine whether these rare pathogens are clinically significant and need treatment. This article puts forward some suggestions and discussions on the diagnosis and treatment of pulmonary infections with some rare pathogens.
Objective By using metagenomic next-generation sequencing (mNGS), we aimed to analyze the microbes characteristics of lower respiratory tract of patients with pulmonary infection, so as to improve the further understanding of clinical etiological characteristics of patients with pulmonary infection. Methods A total of 840 patients with suspected pulmonary infection were enrolled from August 2020 to October 2021 in West China Hospital of Sichuan University. mNGS was used to detect the microbiome of bronchoalveolar lavage fluid of all patients, and the microbial characteristics of lower respiratory tract of all patients were retrospectively analyzed. Results A total of 840 patients were enrolled, of which 743 were positive for microbiome, with bacterial infection accounting for 35.13% (261/743). Acinetobacter baumannii accounted for 18.98% (141/743), followed by Streptococcus pneumoniae (14.13%, 105/743), Klebsiella pneumoniae (13.46%, 100/743), Enterococcus faecium (12.11%, 90/743) and Mycobacterium tuberculosis complex (11.98%, 89/743). Acinetobacter baumannii had the highest average reads (2607.48). In addition, some specific pathogens were detected, such as 9 cases of Chlamydia psittaci. The main fungal infections were Candida albicans (12.38%, 92/743), Pneumocystis jirovecii (9.02%, 67/743) and Aspergillus fumigatus (7.40%, 55/743), among which the average reads of Pneumocystis jirovecii was higher (141.86) than Candida albicans and Aspergillus fumigatus. In addition, some special pathogens were also detected, such as a case of Talaromyces marneffei. The main viral infections included human β herpevirus 5 (17.90%, 133/743), human γ herpevirus 4 (17.36%, 129/743), human β herpevirus 7 (16.15%, 120/743) and human α herpevirus 1 (13.59%, 101/743), among which the average reads of human herpesvirus type 1 (367.27) was the highest. Parasitic infection was least, with only 2 cases of Echinococcus multilocularis, 2 cases of Angiostrongylus cantonensis, 2 cases of Dermatophagoides pteronyssinus and 1 case of Dermatophagoides farinae, which were mainly infected with bacteria and viruses. In addition, a total of 407 patients were diagnosed with mixed infection, of which virus and bacteria mixed infection was the most (22.61%, 168/743). The distribution of microorganisms in different seasons also has certain characteristics. For example, bacteria (Acinetobacter baumannii) were most frequently detected in autumn and winter, while viruses (human gamma-herpesvirus type 4) were most frequently detected in spring and summer. Conclusions In the lower respiratory tract of patients with pulmonary infection, the main gram-negative bacteria are Acinetobacter baumannii and Klebsiella pneumoniae, while the main gram-positive bacteria are Streptococcus pneumoniae, Enterococcus faecium and Mycobacterium tuberculosis complex; the main fungi are Candida albicans, Pneumocystis jirovecii and Aspergillus fumigatus; the main viruses are human β herpevirus 5, human γ herpevirus 4 and human β herpevirus 7. However, parasites are rarely detected and have no obvious characteristics. Bacterial infection and bacterial virus mixed infection are the main co-infections; the microbial characteristics of autumn and winter are different from those of spring and summer. In addition, attention should be paid to special pathogenic microorganisms, such as Chlamydia psittaci and Talaromyces marneffei. These characteristics could be used as reference and basis for the pathogenic diagnosis of pulmonary infection.
ObjectiveTo explore the application and clinical value of metagenomic next-generation sequencing (mNGS) combined with Omadacycline in the treatment of Refractory Mycoplasma pneumoniae pneumonia (RMPP).MethodsThe clinical data, relevant laboratory results, diagnosis and treatment process, and imaging outcomes of four patients diagnosed with Mycoplasma pneumoniae pneumonia through mNGS were analyzed. ResultsThe clinical symptoms at onset in all four patients were consistent with Mycoplasma pneumoniae pneumonia. After conventional treatment with macrolides, tetracyclines, or quinolone antibiotics, the symptoms showed no significant improvement, and there was a trend of radiological worsening. Following the confirmation of Mycoplasma pneumoniae infection through mNGS of bronchoalveolar lavage fluid, and due to various reasons preventing the use of the aforementioned drugs, omadacycline was ultimately chosen for treatment. Radiological improvements were observed in all cases, leading to a good prognosis and discharge. ConclusionsFor pneumonia cases where the infectious pathogen cannot be identified and conventional treatment has failed, mNGS can be utilized for early and accurate diagnosis. In cases of RMPP, Omadacycline can be employed as an alternative treatment to prevent delays in care and reduce the risk of complications.