Next-generation Sequencing Technology in the Clinical Application of Respiratory Specimens

Compared with pathogenic mNGS detection of lower respiratory tract airway secretion specimens, pathogenic tNGS detection can further shorten the detection time.It can more accurately analyze the pathogen composition of the patient's lower respiratory tract infectious diseases and identify the diagnostic results of the pathogen of lower respiratory tract infections.It also has a very high accuracy in identifying atypical special pathogens such as fastidious bacteria, fungi and viruses.

This study plans to enroll patients with severe pulmonary infection admitted to the Affiliated Hospital of Nantong University, and collect samples of alveolar lavage fluid or sputum specimens collected by the airway specification from the patients will be sent for testing of mNGS and tNGS, the results obtained from different methodological tests will be compared and analyzed, and the clinical data of patients (including basic information of patients (including gender, age, height, weight, past medical history, etc.), traditional pathogen testing, G/GM experiments, blood routine, PCT, CRP, CD4 lymphocytes, IFN, IL-6, IL-2 and serum antigen detection, clinical antimicrobial drug use, imaging examination, etc.) will be collected through the electronic medical record system. The test results will be analyzed and compared with the clinical condition of the patients, and finally the detection performance of mNGS and tNGS will be obtained.

Inclusion criteria

• Voluntary signing of the informed consent form.
• Common respiratory infections: traditional methods cannot clearly identify and the patient's condition is prolonged without improvement; Patients with a high suspicion of viral pneumonia: such as acute onset during a season of high viral incidence, normal or low blood leukocyte counts, rapid disease progression, negative results for respiratory viral multiplex PCR testing and cultures; Immunocompromised patients: experiencing respiratory infections or severe illness.
• Sufficient samples can be obtained.
• Patients with complete clinical data.

Exclusion criteria

• Refusal to sign informed consent.
• Testing has clearly excluded infection.
• Received antibiotic treatment within three days prior to testing without stopping the medication for more than 12 hours.
• Sample quality is not up to standard.
• Unable to obtain sufficient sample.
• No complete drug usage history.