Evidence map›Paper›PMID 39990777›Full record

ArticleInfection and drug resistance2025

Identification of Pathogens in HIV-Infected Patients Using Metagenomic Next-Generation Sequencing (mNGS) as Compared to Conventional Microbiological Tests (CMTs).

Xiaohong Zhu, Li Cao, Juan Wang, Xuefeng Lu, Zuoyu Huang, Xiaoping Wen, Lihong Bian, Congxia Wu, Meiyin Zou

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Article in Infection and drug resistance, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xiaohong ZhuThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Li CaoThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Juan WangThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Xuefeng LuThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Zuoyu HuangThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Xiaoping WenThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Lihong BianThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Congxia WuThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.
Meiyin ZouThe Third Affiliated Hospital, Nantong University, Nantong, Jiangsu, 223001, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The rapid and accurate identification of infectious pathogens in HIV-infected patients remains a challenge. Metagenomic next-generation sequencing (mNGS) is a panpathogen assay for rapid diagnosis of infectious diseases. Here, the diagnostic value of mNGS was evaluated in HIV-infected patients and compared with conventional microbiological tests (CMTs). Methods: This study was conducted on 216 hIV-infected patients with suspected opportunistic infections. Infectious pathogen detection was done by mNGS and conventional microbiological tests, respectively. Results: A total of 195 patients (90.2%) were positive for microbial pathogens by mNGS, while 135 patients (62.5%) were positive for microbial pathogens by CMTs. Mixed infection was identified in 92 patients by mNGS, and 41 patients were detected with mixed infection by CMTs. Fungi and virus mixed infection was the most frequent pattern detected by mNGS (32, 14.8%) and CMTs (22, 10.2%). The CD4+ T cell count in patients with mixed pathogens was significantly lower than that in patients infected with a single pathogen. Pathogens were quickly identified by mNGS in 151 patients (69.9%), and appropriate treatments were initiated. In 47 patients antibacterial agents were adjusted based on mNGS results, in 39 patients antifungal agents were changed, and 35 patients had antiviral agents added. Conclusion: mNGS is a valuable tool and enhances rapid microbiological identification in HIV-infected patients. Combined with CMTs, mNGS may facilitate personalized antimicrobial treatment strategies and increase survival.

Indexed as

antimicrobial treatmentconventional microbiological tests (CMTs)HIVmetagenomic next-generation sequencing (mNGS)

Identifiers

PMID39990777
PMCPMC11844195

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