The Value of mNGS in Diagnosis of Pulmonary Infection

March 6, 2024 updated by: Yunfeng Hou

To Explore the Application of mNGS Detection Technology in the Diagnosis of Pulmonary Infection

Retrospective analysis of clinical data from 50 hospital-admitted patients with suspected pulmonary infection (as judged by clinical manifestations and imaging findings) was performed on study participants who had collected two different samples of alveolar lavage fluid (BALF) and sputum and underwent metagenomic next generation sequencing (mNGS) and routine pathogen detection, respectively. The positive rate of pathogen detection and the consistency of pathogen detection results of the two detection methods were compared to evaluate the clinical manifestation and role of mNGS in pathogen diagnosis.

Study Overview

Status

Not yet recruiting

Conditions

Detailed Description

Pulmonary infection is a common type of respiratory infection that can lead to multiple complications and is considered the most important infectious disease worldwide due to its high morbidity and mortality. Lung infections, caused by one or more pathogens such as bacteria, viruses, fungi and parasites, are not easily distinguishable clinically and are among the top 10 causes of death worldwide. Therefore, early and accurate identification of the cause of infection for patients with pulmonary infection is of great significance for subsequent treatment and improvement of prognosis. At present, the main traditional diagnostic methods for pulmonary infection are microbial culture, antigen and antibody detection and PCR nucleic acid detection technology. Although microbial culture is the gold standard for microbial identification, it takes a long time to detect some viruses and parasites. The sensitivity of antigen and antibody detection is poor. PCR nucleic acid detection method has high sensitivity and specificity, but it can not detect all pathogens causing lung infection. Therefore, it is necessary to develop a fast, convenient and sensitive new detection technology to detect the pathogen of pulmonary infection. next generation sequencing (NGS) has the advantage of no assumptions and no dependence on culture, and can detect all pathogens in clinical samples without bias, and has been widely used in a variety of infectious diseases. This study collected the basic information of patients suspected of pulmonary infection in clinic, and conducted mNGS detection and routine pathogen detection on different samples of alveolar lavage fluid (BALF) and sputum, respectively, to evaluate the consistency of mNGS detection and routine detection and the positive pathogen detection rate, as well as the clinical application value of mNGS detection.

This study retrospectively analyzed 50 patients hospitalized in our hospital from January, 2019 to October, 2019, whose symptoms, signs, imaging and infection indicators met the diagnostic criteria for pulmonary infection, while routine etiological detection of sputum and pulmonary alveolar lavage fluid mNGS were performed.

Clinical data of relevant patients were collected, including gender, age, smoking status, clinical manifestations, length of stay before mNGS detection, antibiotic use before mNGS detection, imaging changes, laboratory examination and other basic information. Results were collected from study participants' alveolar lavage fluid (BALF), sputum for traditional pathogen tests (microbial culture and PCR nucleic acid detection techniques), and mNGS tests. The positive rate of pathogen detection and the consistency of detection results of the two detection methods were compared.

Study Type

Observational

Enrollment (Estimated)

50

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Contact

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Probability Sample

Study Population

Patients whose symptoms, signs, imaging, and infection indicators met the diagnostic criteria for pulmonary infection while routine etiological detection of sputum and pulmonary alveolar lavage fluid mNGS were performed.

Description

Inclusion Criteria:

Inclusion criteria: Patients meeting diagnostic criteria for pulmonary infection between January 1, 2020 and October 31, 2023. Patients with pulmonary infection were diagnosed with new or worsening focal or diffuse infiltrating lesions on chest CT accompanied by at least one of the following four pneumonic-related clinical manifestations: (1) Recent cough, sputum, or aggravation of existing respiratory symptoms with or without purulent sputum, chest pain, dyspnea, and hemoptysis; ② Heat, T≥38℃; ③ Signs of lung consolidation and/or smell and moist rales; ④ Peripheral blood white blood cell count > 10*109/L or < 4*109/L.

Exclusion criteria: ① The patient did not undergo bronchoscopy; Absence of clinical or laboratory data.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
pulmonry infection group
50 cases of suspected pulmonary infection (based on clinical manifestations and imaging findings). These patients have collected two different samples of alveolar lavage fluid (BALF) and sputum and have undergone metagenomic next generation sequencing (mNGS) and routine pathogen detection, respectively.
All the enrolled patients had undergone fiberbronchoscopy and sputum had been retained. The collected alveolar lavage fluid and sputum were examined for mNGS and routine etiology, respectively
Other Names:
  • mNGS

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Etiological detection rates of two detection techniques
Time Frame: From January 1, 2020 to October 31, 2023
Study participants who had collected two different samples of alveolar lavage fluid (BALF) and sputum and underwent metagenomic next generation sequencing (mNGS) and routine pathogen detection, respectively, compared the positive rates of pathogen detection by the two detection methods
From January 1, 2020 to October 31, 2023

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Consistency of detection results of two detection techniques
Time Frame: From January 1, 2020 to October 31, 2023
Study participants who had collected two different samples of alveolar lavage fluid (BALF) and sputum and underwent metagenomic next generation sequencing (mNGS) and routine pathogen detection, respectively, were compared for the consistency of pathogen detection results between the two assays
From January 1, 2020 to October 31, 2023

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Investigators

  • Study Director: Yunfeng Hou, master, Department of Intensive Care Medicine, Qiandfo Mountain Hospital, Shandong Province

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Estimated)

April 20, 2024

Primary Completion (Estimated)

April 20, 2025

Study Completion (Estimated)

September 30, 2025

Study Registration Dates

First Submitted

March 6, 2024

First Submitted That Met QC Criteria

March 6, 2024

First Posted (Actual)

March 12, 2024

Study Record Updates

Last Update Posted (Actual)

March 12, 2024

Last Update Submitted That Met QC Criteria

March 6, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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