Comparative study of biomarkers for the early identification of Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis in infectious mononucleosis.


Journal

BMC infectious diseases
ISSN: 1471-2334
Titre abrégé: BMC Infect Dis
Pays: England
ID NLM: 100968551

Informations de publication

Date de publication:
26 Oct 2023
Historique:
received: 17 03 2023
accepted: 27 09 2023
medline: 27 10 2023
pubmed: 26 10 2023
entrez: 25 10 2023
Statut: epublish

Résumé

Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis (EBV-HLH) and infectious mononucleosis (EBV-IM) share mimic symptoms in the early stages of childhood development. We aimed to examine the clinical features and laboratory indices of these two diseases in children and uncover unique indicators to assist pediatricians in identifying these diseases early. We collected clinical data from 791 pediatric patients diagnosed with EBV-IM or EBV-HLH, compared the clinical traits and laboratory biomarkers presented in the two groups, and constructed predictive models based on them. Patients with EBV-IM had greater ratios of cervical lymphadenopathy, eyelid edema, and tonsillitis, whereas individuals with EBV-HLH were more likely to have hepatomegaly and splenomegaly. When using the criteria of interleukin (IL)-10 > 89.6 pg/mL, interferon (IFN)-γ > 45.6 pg/mL, ferritin > 429 μg/L, D-dimer > 3.15 mg/L and triglycerides > 2.1 mmol/L, the sensitivity was 87.9%, 90.7%, 98.1%, 91.1% and 81.5% to predict EBV-HLH, while the specificity was 98.4%, 96.3%, 96.5%, 94.1% and 80.6%, respectively. A logistic regression model based on four parameters (IL-10, ferritin, D-dimer, and triglycerides) was established to distinguish EBV-HLH patients from EBV-IM patients, with a sensitivity of 98.0% and a specificity of 98.2%. IL-10, IFN-γ, ferritin and D-dimer levels are significantly different between EBV-HLH and EBV-IM. Predictive models based on clinical signs and laboratory findings provide simple tools to distinguish the two situations.

Sections du résumé

BACKGROUND AND AIM OBJECTIVE
Epstein-Barr virus-associated hemophagocytic lymphohistiocytosis (EBV-HLH) and infectious mononucleosis (EBV-IM) share mimic symptoms in the early stages of childhood development. We aimed to examine the clinical features and laboratory indices of these two diseases in children and uncover unique indicators to assist pediatricians in identifying these diseases early.
METHODS METHODS
We collected clinical data from 791 pediatric patients diagnosed with EBV-IM or EBV-HLH, compared the clinical traits and laboratory biomarkers presented in the two groups, and constructed predictive models based on them.
RESULTS RESULTS
Patients with EBV-IM had greater ratios of cervical lymphadenopathy, eyelid edema, and tonsillitis, whereas individuals with EBV-HLH were more likely to have hepatomegaly and splenomegaly. When using the criteria of interleukin (IL)-10 > 89.6 pg/mL, interferon (IFN)-γ > 45.6 pg/mL, ferritin > 429 μg/L, D-dimer > 3.15 mg/L and triglycerides > 2.1 mmol/L, the sensitivity was 87.9%, 90.7%, 98.1%, 91.1% and 81.5% to predict EBV-HLH, while the specificity was 98.4%, 96.3%, 96.5%, 94.1% and 80.6%, respectively. A logistic regression model based on four parameters (IL-10, ferritin, D-dimer, and triglycerides) was established to distinguish EBV-HLH patients from EBV-IM patients, with a sensitivity of 98.0% and a specificity of 98.2%.
CONCLUSIONS CONCLUSIONS
IL-10, IFN-γ, ferritin and D-dimer levels are significantly different between EBV-HLH and EBV-IM. Predictive models based on clinical signs and laboratory findings provide simple tools to distinguish the two situations.

Identifiants

pubmed: 37880605
doi: 10.1186/s12879-023-08654-6
pii: 10.1186/s12879-023-08654-6
pmc: PMC10601177
doi:

Substances chimiques

Interleukin-10 130068-27-8
Biomarkers 0
Ferritins 9007-73-2
Triglycerides 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

728

Subventions

Organisme : National Natural Science Fund of China
ID : No. 81970122
Organisme : the Zhejiang Provincial Natural Science Foundation of China
ID : No. LY19H080006
Organisme : Pediatric Leukemia Diagnostic and Treatment Technology Research Center of Zhejiang Province
ID : No. JBZX-201904

Informations de copyright

© 2023. BioMed Central Ltd., part of Springer Nature.

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Auteurs

Lisha Cai (L)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China.
Department of Pediatrics, The Affiliated Hospital of Zunyi Medical University, Guizhou Children's Hospital, No. 149 Dalian Rd, Huichuan District, Zunyi, Guizhou, 563000, PR China.

Yuan Xing (Y)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China.
Department of Pediatrics, The Affiliated Hospital of Zunyi Medical University, Guizhou Children's Hospital, No. 149 Dalian Rd, Huichuan District, Zunyi, Guizhou, 563000, PR China.

Yahong Xia (Y)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China.

Zihan Zhang (Z)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China.

Zebin Luo (Z)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China.

Yongmin Tang (Y)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China.

Yan Chen (Y)

Department of Pediatrics, The Affiliated Hospital of Zunyi Medical University, Guizhou Children's Hospital, No. 149 Dalian Rd, Huichuan District, Zunyi, Guizhou, 563000, PR China. cyz600@163.com.

Xiaojun Xu (X)

Division of Hematology-Oncology, Children's Hospital of Zhejiang University School of Medicine, No. 57 Zhugan Lane, Yan-an Street, Hangzhou, 310003, PR China. xuxiaojun@zju.edu.cn.

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Classifications MeSH