Evidence map›Paper›PMID 41937463›Full record

ArticleImmunity, inflammation and disease2026

Clinical Value the Neutrophil CD64 Index in Predicting the Severity of Hemorrhagic Fever With Renal Syndrome.

Chuantao Ye, Rongrong Zhang, Shasha Wu, Min Wei, Jiaojiao Cao, Xinyi Du, Xiaofei Yang, Chao Fan, Bibo Kang, Jing Zhang and 2 more

Abstract read
In one paragraph

Article in Immunity, inflammation and disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

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

12 authors.

Chuantao YeDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.ORCID https://orcid.org/0000-0002-6963-2757
Rongrong ZhangDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Shasha WuDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Min WeiDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Jiaojiao CaoDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Xinyi DuDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Xiaofei YangDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Chao FanDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Bibo KangDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Jing ZhangDepartment of Traditional Chinese Medicine, First Affiliated Hospital of Air Force Military Medical University, Xi'an, Shaanxi, China.
Xin WeiDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.
Jianqi LianDepartment of Infectious Diseases, Second Affiliated Hospital of Air Force Medical University, Xi'an, Shaanxi, China.

Funding

Clinical Research Projects of Air Force Medical University 2019LCYJ002high-level innovation and entrepreneurship talent project from QinChuangYuan in Shaanxi province QCYRCXM-2022083National Key Research and development Program 2021YFC1200101National Natural Science Foundation of China 82302487
6 · The paper itself

Abstract

objectiveThe hemorrhagic fever with renal syndrome (HFRS) is an acute viral infectious disease characterized by multi-system damage involving complex mechanisms. Effective identification of critically ill patients is essential for the prognosis of HFRS. The aim of this study was to investigate the utility of the neutrophil CD64 index (nCD64 index) in predicting the severity of HFRS.

methodsThis study included 64 HFRS patients from the Center for Infectious Diseases of the Second Affiliated Hospital of Air Force Medical University between October 2023 and March 2024. The expression of CD64 on neutrophils was assessed using flow cytometry, and the nCD64 index was calculated. White blood cell (WBC), Procalcitonin (PCT), C-reactive protein (CRP), Il-6, and creatinine levels were measured for each patient, and Sequential Organ Failure Assessment (SOFA) scores were determined.

resultsThe expression of nCD64 was generally elevated in HFRS patients and demonstrated a positive correlation with WBC, neutrophil, lymphocyte, monocyte, and PCT, as well as a negative correlation with platelet. The receiver operating characteristic (ROC) curve of nCD64 index for predicting high SOFA score patients outperformed those of CRP, creatinine and WBC, and was equivalent to that of IL-6 and PCT.

conclusionThe nCD64 index has the potential to serve as an effective biomarker for monitoring disease progression and assessing treatment efficacy in HFRS.

Indexed as

Hemorrhagic Fever with Renal SyndromeNeutrophilsReceptors, IgGAdultBiomarkersC-Reactive ProteinCreatinineFemaleHumansInterleukin-6MaleMiddle AgedOrgan Dysfunction ScoresPrognosisROC CurveSeverity of Illness IndexBiomarkersC-Reactive ProteinCreatinineInterleukin-6Receptors, IgGbiomarkerhemorrhagic fever with renal syndromenCD64 indexPCTSOFA

Identifiers

PMID41937463
PMCPMC13052293

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.