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Published in: BMC Musculoskeletal Disorders 1/2024

Open Access 01-12-2024 | Phlebothrombosis | Research

Construction of a nomogram model for deep vein thrombosis in patients with tibial plateau fracture based on the Systemic Inflammatory Response Index

Authors: He Ling, Wencai Li, Zhao Huang, Yonghui Lao, Gaoyong Deng, Rongbin Lu, Wei Su

Published in: BMC Musculoskeletal Disorders | Issue 1/2024

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Abstract

Background

In recent years, the incidence of tibial plateau fracture has been on the rise, predominantly affecting the elderly population. Deep vein thrombosis may lead to poor prognosis in patients. the Systemic Inflammatory Response Index are novel biomarkers of inflammation, and this study aims to verify their predictive effect and construct the nomogram model.

Method

This study used binary logistic regression analysis to predict the predictive effect of SIRI on the occurrence of DVT in tibial plateau fracture patients. And use R studio to construct nomogram model.

Result

The results showed that NC (7.036 [3.516, 14.080], p < 0.001), LYM (0.507 [0.265, 0.969], p = 0.04), and SIRI (2.090 [1.044, 4.182], p = 0.037) were independent predictive factors for DVT. The nomogram demonstrated good predictive performance with small errors in both the training and validation groups, and most clinical patients could benefit from them.

Conclusion

The nomogram constructed based on SIRI can assist clinicians in early assessment of the probability of DVT occurrence.
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Metadata
Title
Construction of a nomogram model for deep vein thrombosis in patients with tibial plateau fracture based on the Systemic Inflammatory Response Index
Authors
He Ling
Wencai Li
Zhao Huang
Yonghui Lao
Gaoyong Deng
Rongbin Lu
Wei Su
Publication date
01-12-2024
Publisher
BioMed Central
Published in
BMC Musculoskeletal Disorders / Issue 1/2024
Electronic ISSN: 1471-2474
DOI
https://doi.org/10.1186/s12891-024-07328-x

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