{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Meng B"],"funding":["Natural Science Foundation of Hubei Province","Wuhan Young and Middle-aged Medical Backbone Talent Project 2020","Young Talent Project of General Hospital of Center Theater"],"pagination":["360"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC11907972"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["25(1)"],"pubmed_abstract":["<h4>Background</h4>Immunocompromised patients with Lower Respiratory Tract Infections (LRTI) frequently encounter a diverse range of pathogenic infections, characterized by rapid disease progression and significant mortality rates due to reckless or excessive utilization of antibiotics. Therefore, it is crucial to promptly and accurately identify the causative microorganisms for pathogen diagnosis and clinical decision-making. The objective of this study is to evaluate the clinical applicability of metagenomic next-generation sequencing (mNGS) in the diagnosis and management of LRTI, as well as its impact on empirical antibacterial therapy for patients with varying immune statuses.<h4>Methods</h4>We conducted a comparative analysis of positivity rate, detection accuracy, pathogen spectrum,"],"journal":["BMC infectious diseases"],"pubmed_title":["Antimicrobial strategies of lower respiratory tract infections in immunocompromised patients based on metagenomic next-generation sequencing: a retrospective study."],"pmcid":["PMC11907972"],"funding_grant_id":["ZZ20231693","2020-55","JCZRYB202500657"],"pubmed_authors":["Liu H","Fang Y","Lan T","Fang J","Meng B","Mao C","Hu Z","Wu Q","Qu L","Yang F"],"additional_accession":[]},"is_claimable":false,"name":"Antimicrobial strategies of lower respiratory tract infections in immunocompromised patients based on metagenomic next-generation sequencing: a retrospective study.","description":"<h4>Background</h4>Immunocompromised patients with Lower Respiratory Tract Infections (LRTI) frequently encounter a diverse range of pathogenic infections, characterized by rapid disease progression and significant mortality rates due to reckless or excessive utilization of antibiotics. Therefore, it is crucial to promptly and accurately identify the causative microorganisms for pathogen diagnosis and clinical decision-making. The objective of this study is to evaluate the clinical applicability of metagenomic next-generation sequencing (mNGS) in the diagnosis and management of LRTI, as well as its impact on empirical antibacterial therapy for patients with varying immune statuses.<h4>Methods</h4>We conducted a comparative analysis of positivity rate, detection accuracy, pathogen spectrum,","dates":{"release":"2025-01-01T00:00:00Z","publication":"2025 Mar","modification":"2025-04-22T07:21:42.947Z","creation":"2025-04-05T22:07:34.78Z"},"accession":"S-EPMC11907972","cross_references":{"pubmed":["40087607"],"doi":["10.1186/s12879-025-10753-5"]}}