Establishment and validation of a dynamic nomogram to predict short-term prognosis and benefit of human immunoglobulin therapy in patients with novel bunyavirus sepsis in a population analysis study: a multicenter retrospective study

Establishment and validation of a dynamic nomogram to predict short-term prognosis and benefit of human immunoglobulin therapy in patients with novel bunyavirus sepsis in a population analysis study: a multicenter retrospective study

Abstract Objective This study aims to develop a dynamic nomogram model using machine learning to improve short-term prognosis prediction and identify patients who would benefit from intravenous immunoglobulin (IVIG) therapy. Methods A multicenter retrospective study was conducted on 396 patients dia...

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Bibliographic Details
Main Authors: Kai Yang, Bin Quan, Lingyan Xiao, Jianghua Yang, Dongyang Shi, Yongfu Liu, Jun Chen, Daguang Cui, Ying Zhang, Jianshe Xu, Qi Yuan, Yishan Zheng
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Virology Journal
Subjects:
Novel bunyavirus sepsis
Dynamic nomogram model
Short-term prognosis prediction
Human immunoglobulin therapy
Machine learning
Online Access:https://doi.org/10.1186/s12985-025-02651-8
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https://doi.org/10.1186/s12985-025-02651-8

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