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Erschienen in: Neurological Sciences 9/2023

20.04.2023 | Original Article

An S-like curve relationship between systemic inflammation response index (SIRI) and respiratory failure in GBS patients

verfasst von: Qiuyan Shen, Xin Mu, Yi Bao, Fang Xu, Dan Zhang, Anling Luo, Ling Liu, Hongyan Huang, Yanming Xu

Erschienen in: Neurological Sciences | Ausgabe 9/2023

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Abstract

Background

Our study examined the association between the initial systemic inflammation response index (SIRI) and respiratory failure in patients with Guillain-Barré syndrome (GBS).

Methods

The weighted linear regression model, weighted chi-square test, logistic regression models, smooth curve fittings, and the two-piece linear regression model were utilized for data analysis.

Results

Among the 443 GBS patients, 75 (6.9%) had experienced respiratory failure. According to logistic regression models, there existed no consistent linear relationship between respiratory failure and SIRI in model 1 (OR = 1.2, p < 0.001), model 2 (OR = 1.2, p < 0.001), and model 3 (OR = 1.3, p = 0.017). However, smooth curve fittings found an S-like curve relationship between SIRI and respiratory failure. Furthermore, when SIRI was < 6.4, there existed a positive correlation between SIRI and respiratory failure in model 1 (OR = 1.5, 95% CI = (1.3, 1.8), p < 0.0001), higher correlation in model 2 (OR = 1.6, 95% CI = (1.3, 1.8), p < 0.0001), and highest correlation in model 3 (OR = 1.6, 95% CI = (1.3, 2.5), p < 0.0001).

Conclusions

SIRI can be used as a predictor of respiratory failure in GBS, and an S-like relationship exists between SIRI and respiratory failure at an infliction point of 6.4. When the SIRI was less than 6.4 and increased, SIRI was associated with a higher occurrence of respiratory failure. The risk of respiratory failure was no longer increased when the SIRI was over 6.4.
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Metadaten
Titel
An S-like curve relationship between systemic inflammation response index (SIRI) and respiratory failure in GBS patients
verfasst von
Qiuyan Shen
Xin Mu
Yi Bao
Fang Xu
Dan Zhang
Anling Luo
Ling Liu
Hongyan Huang
Yanming Xu
Publikationsdatum
20.04.2023
Verlag
Springer International Publishing
Erschienen in
Neurological Sciences / Ausgabe 9/2023
Print ISSN: 1590-1874
Elektronische ISSN: 1590-3478
DOI
https://doi.org/10.1007/s10072-023-06784-y

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