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find Keyword "metagenomic next-generation sequencing" 6 results
  • Severe pneumonia caused by Chlamydia psittaci in an immuno-compromised patient: a case report and literature review

    Objective To investigate the clinical manifestations, diagnosis, treatment and prognosis of psittacosis patients. Methods The clinical features, treatment and prognosis of severe pneumonia caused by Chlamydia psittaci were analyzed and relevant literatures were reviewed. Results An 83-year-old male with a history of type 2 diabetes mellitus was admitted to the hospital for "fever, cough for 5 days and dyspnea for 3 days". Chest CT showed a large mass of increased density in the right lung; CD4+ T lymphocytes had an absolute value of 23 cells/μL; Blood gas analysis showed type Ⅰ respiratory failure; Chlamydia psittaci was detected by metagenomic next-generation sequencing. The patient was diagnosed of severe pneumonia (Chlamydia psittaci), type 2 diabetes mellitus, suspected central nervous system infection. This patient was treated with doxycycline and macrolides antibiotics and discharged from hospital after complete recovery. Literature review showed that patients got infected from contacting sick bird, manifested with multiple system involvement. Respiratory symptoms were common, while central nervous system infection seemed to be rare. The diagnosis of psittacosis depended on serology, nucleic acid detection, pathogen isolation and culture. Metagenomic next-generation sequencing had superiority in the diagnosis of psittacosis. Tetracyclines were the preferable treatment, such as doxycycline or tetracycline, with a duration of at least 10 to 14 days. The prognosis of psittacosis was well, and most of the severe and even life-threatening cases were caused by unclear diagnosis and delayed treatment, and the overall mortality rate was about 1%. Conclusions Psittacosis is one kind of zoonoses. History of poultry exposure is helpful in diagnosis, and metagenomic next-generation sequencing has advantages in diagnosing psittacosis. Tetracyclines are preferred with adequate course of treatment. The overall prognosis is good.

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  • Application of metagenomic next-generation sequencing in diagnosis and treatment of severe infection of hematological disorder

    Objective To explore the clinical value of metagenomic next-generation sequencing (mNGS) in the diagnosis and treatment of severe and complex infection of malignant hematological disorder. Methods The mNGS test results, traditional etiology test results and general clinical data of inpatients with malignant hematological disorder in the Department of Hematology, the Affiliated Hospital of Southwest Medical University between June 2020 and February 2022 were retrospectively analyzed. To explore the clinical application value of mNGS in the diagnosis and treatment of severe complicated infection of hematological disorder. Results A total of 21 patients were included. The samples included 18 peripheral blood samples, 2 pleural fluid samples and 1 alveolar lavage fluid sample. In the included patients, through mNGS, pathogenic bacteria were directly detected in 17 patients, including 8 fungi, 9 bacteria and 10 viruses, of which 9 were mixed infections. The positive rate (81.0% vs. 33.3%, P=0.002), sensitivity (85.7% vs. 30.0%), granulocytopenia (9 vs. 3 cases, P=0.031) and the types of pathogen (Z=−3.416, P=0.001) detected by mNGS were all higher than those by traditional method. The infection control of 17 patients improved in varying degrees after adjusting the treatment plan according to the test results. ConclusionsmNGS has significantly higher detection rate and sensitivity for bacteria, fungi, viruses and mixed infections. Compared with the traditional method, mNGS has more efficient characteristics. Its clinical application can further improve the diagnosis and treatment efficiency of severe complicated infection of malignant hematological disorder, and thus improve the survival rate of patients.

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  • Traditional laboratory detection methods and metagenomic next-generation sequencing in pulmonary fungal infection diagnosis

    In recent years, due to the extensive usage of immunosuppressant and the rise of patients with cancers and organ transplantation, the incidence rate of invasive fungal infection, especially invasive pulmonary fungal infection, has increased. Besides the clinical manifestations, medical history and imaging, the diagnosis of pulmonary mycosis mainly depends on pathogen detection methods in clinical microbiology laboratory. However, due to the difficulty in fungi culturing and the low sensitivity of smear microscopy, better molecular biology methods are needed. To date, the emergence of metagenomic next-generation sequencing (mNGS) has improved the identification rate of pulmonary fungal infections. mNGS is significantly superior to traditional detection methods in rapid, accurate, and comprehensive determination of fungi from various clinical specimens, especially atypical fungi. However, some problems in mNGS method have to be addressed including sample collection, report interpretation, and its combination with traditional microbiology methods. With the in-depth discussion and solution of the above problems, mNGS will be indispensable to the etiological diagnosis of pulmonary invasive fungal infection.

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  • Analysis of clinical features of Tropheryma whipplei pneumonia

    Objective To analyze the clinical data of patients with Tropheryma whipplei pneumonia, and summarize the clinical characteristics, diagnosis, and treatment methods of Tropheryma whipplei pneumonia. Methods The data of Tropheryma whipplei pneumonia patients from three hospitals in Hunan Province between January 1, 2021 and October 1, 2022 were retrospectively collected. The clinical symptoms, laboratory examination, metagenomics next-generation sequencing (mNGS), CT imaging features, diagnosis and treatments of the included patients were analyzed. Results A total of 4 patients were included. Among them, there were 2 males and 2 females. The main manifestations were cough, expectoration, fever, and shortness of breath. There were 2 cases of diffuse ground glass opacity in both lungs, 1 case of pulmonary nodule, 1 case of pulmonary cavity, 1 case of pleural disease, 2 cases of pulmonary exudative lesions, and 1 case of mediastinal lymphadenectasis. The mNGS results showed that Tropheryma whipplei was detected in all 4 patients, and the median number of serial number (lower quartile, upper quartile) was 1 528 (1 480, 1 576). After anti infection treatment, 3 cases were treated effectively, and 1 case had poor treatment effect. Conclusions mNGS is an effective method to diagnose Tropheryma whipplei pneumonia. The measurement of serum lactate dehydrogenase level is helpful to evaluate the disease and determine the prognosis. Piperacillin tazobactam, meropenem and doxycycline are effective for this disease, while moxifloxacin and trimethoprim / sulfamethoxazole are not recommended because they may be naturally resistant. Without active etiological treatment, the disease may persist in migration and lead to extrapulmonary involvement.

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  • Chlamydia psittaci pneumonia: a clinical analysis of 21 patients

    Objective To explore the clinical characteristics of Chlamydia psittaci pneumonia. Methods From January 2020 to March 2023, 21 cases of Psittacosis from the First Affiliated Hospital of Nanjing Medical University were diagnosed via metagenomic next-generation sequencing (mNGS). They were divided into a severe group (n=10) and a non-severe group (n=11) based on diagnostic criteria for severe pneumonia, and the clinical presentation, secondary examination, treatment, and prognosis of the two groups were analyzed retrospectively. Results Among the 21 patients, there were 11 males and 10 females, with a mean age of (51.7±11.6) years. All patients had an acute onset and 12 had a confirmed history of exposure to poultry. The onset of the disease occurred in the autumn and winter seasons in 18 patients. All the patients were suffering from high fevers. Other symptoms included coughing, phlegm, tightness in the chest and fatigue. Laboratory examinations showed that the levels of leukocytes, neutrophil counts, C-reactive protein, procalcitonin, aminotransferase, creatine kinase, lactic dehydrogenase, brain natriuretic peptide precursors and D-dimer were significantly higher in the severe group than those in the non-severe group. Chest CT scans revealed varying levels of consolidation and spot shadowing with peripheral exudate in all patients. The patients in the severe group were more likely to have bilateral lung involvement, bilateral pleural effusion, cavity and mediastinal lymph node enlargement. Eleven patients received tetracycline alone, three received laudanum alone, two received respiratory quinolones alone, and five received a combination of two drugs including tetracycline. Chest CT at clinical follow-up showed absorption of lung lesions. Conclusions Chlamydia psittaci pneumonia usually occurs in the fall and winter, and most patients have a history of contact with poultry. Clinical presentation and imaging are not specified. The technology of mNGS enables early diagnosis of the disease, and neutrophil lymphocyte ratio, neutrophil-lymphocyte ratio and lactic dehydrogenase levels help assess the risk of severe disease.

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  • Metagenomic next-generation sequencing analysis of microbial community distribution and load in BALF of chronic obstruction pulmonary disease patients with lower respiratory tract infections

    Objective To analyze the differences in microbial communities in bronchoalveolar lavage fluid (BALF) from patients with simple pneumonia versus those with chronic obstructive pulmonary disease (COPD) combined with lower respiratory tract infection using metagenomic next-generation sequencing (mNGS). Methods Patients hospitalized for pulmonary infections at the First Affiliated Hospital of Xinjiang Medical University between December 2021 and March 2023 were included. Based on the presence of COPD, the patients were divided into two groups: those with simple pneumonia and those with COPD combined with lower respiratory tract infection. mNGS was employed to detect microbes in BALF, and the microbial community distribution characteristics of the two groups were analyzed. Results A total of 97 patients were included, of whom 80 (81.82%) had positive microbial detection results. The smoking index in COPD group with lower respiratory tract infection was significantly higher than that in the group with simple pneumonia (t= −3.62, P=0.001). Differences in microbial community distributions were observed between the groups. At the genus level, 19 species of microorganisms were detected in the simple pneumoniapulmonary infection group, including 8 bacteria (42.11%), 2 fungi (10.53%), 3 viruses (15.79%), and 6 other types of microorganisms (31.58%). In contrast, 22 types of microbes were detected in COPD group with lower respiratory tract infection, including 10 bacteria (47.62%), 3 fungi (14.29%), 4 viruses (19.05%), and 4 other types of microorganisms (19.05%). Differences were also noted in reads per million (RPM) values; bacterial RPM values at the genus level were significantly higher in the COPD group during non-severe pneumonia compared to the simple pneumonia group (Z=–2.706, P=0.007). In the patients with severe pneumonia, RPM values at the genus and species levels were significantly higher than those in non-severe pneumonia (Z=−2.202, P=0.028; Z=−2.141, P=0.032). In COPD combined with severe pneumonia, bacterial RPM values were significantly higher at the species level compared to non-severe pneumonia (Z=−2.367, P=0.017). ConclusionsThere are differences in the distribution of microbial communities at the genus and species levels in BALF from patients with COPD combined with lower respiratory tract infection compared to those with simple pulmonary pneumonia. Bacteria are the predominant microbial type in both groups, but the dominant bacterial species differ between them. Simple pneumonia are primarily associated with bacterial, viral, and other types of microbial infections, while COPD combined with lower respiratory tract infection is predominantly associated with fungal and bacterial infections. RPM values may serve as an indicator of the severity of pneumonia.

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