Evidence map›Paper›PMID 41327021›Full record

ArticleBMC infectious diseases2025

Application of metagenomic next-generation sequencing technology in hematologic malignancy patients with sepsis following antibiotic use.

Bingrong Chen, Wenxiu Shu, Jing Le, Dian Jin

Abstract read
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Article in BMC infectious diseases, 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

What it found

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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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PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Bingrong ChenDepartment of Hematology, Ningbo Medical Center Lihuili Hospital, Ningbo, 315000, China.
Wenxiu ShuDepartment of Hematology, Ningbo Medical Center Lihuili Hospital, Ningbo, 315000, China.
Jing LeDepartment of Hematology, Ningbo Medical Center Lihuili Hospital, Ningbo, 315000, China.
Dian JinDepartment of Hematology, Ningbo Medical Center Lihuili Hospital, Ningbo, 315000, China. springjd@zju.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetagenomic next-generation sequencing (mNGS) has been widely applied in clinical pathogen detection; however, its utility in patients with hematologic malignancies complicated by sepsis after antibiotic therapy requires further investigation.

methodsA total of 119 patients with hematologic malignancies complicated by sepsis, who had received antibiotic treatment for ≥ 3 days without clinical improvement, were enrolled in the study. All patients underwent simultaneous blood culture and mNGS analysis. The diagnostic value of mNGS and its impact on optimizing anti-infective therapy were evaluated.

resultsFor the detection of bacterial and fungal pathogens, mNGS demonstrated a significantly higher positive rate compared to blood culture (89.36% vs. 25.53%). The sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) of mNGS were 58.33%, 0.00%, 16.67%, and 0.00%, respectively. The overall agreement rate between the two methods was 13.21% (kappa = -0.202). Based on mNGS results, anti-infective treatment regimens were modified in 47 patients (39.49%). Granulocytopenia related to antitumor therapy was identified as a high-risk factor for polymicrobial infections (P < 0.05)

conclusionsPatients with hematologic malignancies and sepsis, particularly those with antitumor therapy-induced granulocytopenia, are at increased risk for polymicrobial infections. Blood mNGS offers a rapid and comprehensive approach to pathogen identification, showing significant potential for guiding anti-infective therapy in this patient population. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

Anti-Bacterial AgentsHematologic NeoplasmsHigh-Throughput Nucleotide SequencingMetagenomicsSepsisAdultAgedAged, 80 and overBacteriaFemaleFungiHumansMaleMiddle AgedSensitivity and SpecificityYoung AdultAnti-Bacterial AgentsBloodHematological malignanciesmNGSSepsis

Identifiers

PMID41327021
PMCPMC12667041

What Socratic holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.