Evidence map›Paper›PMID 42051765›Full record

ArticleFrontiers in neurology

Pathogen spectrum identified by targeted nanopore sequencing and exploratory analysis of hematological biomarkers in suspected intracranial infections.

Zhou He, Hu Zhihong, Li Shuijin, Jiang Xuyang, Chen Wenhuo, Xu Yongjun, Cui Xiaoping

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In one paragraph

Article in Frontiers in neurology. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

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

7 authors.

Zhou He *Department of Neurology, Second Department of Infection, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Hu Zhihong *Department of Neurology, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Li ShuijinDepartment of Neurology, Second Department of Infection, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Jiang XuyangDepartment of Neurology, Second Department of Infection, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Chen WenhuoDepartment of Emergency, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.
Xu YongjunDepartment of Cerebrovascular Diseases, Fujian Medical University Affiliated Union Hospital, Fuzhou, Fujian, China.
Cui XiaopingDepartment of Neurology, Second Department of Infection, 900th Hospital of PLA Joint Logistic Support Force, Fuzhou, Fujian, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Intracranial infections are severe, life-threatening conditions often caused by diverse pathogens. Targeted nanopore sequencing (TNPseq) offers rapid and accurate pathogen identification, addressing the limitations of traditional diagnostic methods. Besides the pathogen types, factors like inflammation levels also affect treatment outcomes. Thus, we combined TNPseq with clinical indicators to characterize pathogen-specific host-response heterogeneity and optimize clinical stratification in infected patients. Methods: This retrospective study included 255 patients with suspected intracranial infections, among whom 39 with complete clinical and hematological data were analyzed. Pathogen detection was conducted using TNPseq, and the consistency of pathogen distributions between the full and screened cohorts was evaluated. The diagnostic performance of C-reactive protein (CRP), neutrophil ratio (NR), and procalcitonin (PCT) was assessed via logistic regression and receiver operating characteristic (ROC) curve analysis. Mediation analysis was used to explore the relationship between CRP, NR, and the length of hospital stay (LOS). Results: The most common pathogens identified were Conclusion: TNPseq effectively identifies a broad range of pathogens in intracranial infections. CRP and NR serve as critical indicators of inflammatory burden and host-response heterogeneity, aiding in risk stratification and personalized management when integrated with TNPseq.

Indexed as

C-reactive proteindiagnosishospital stayneutrophil ratiotargeted nanopore sequencing

Identifiers

PMID42051765
PMCPMC13110970

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