[Pubmed] The Value of Combined Detection of Systemic Inflammation Response Index and Prognostic Nutritional Index in Pre

Intégration des publications parues sur PUBMED
Répondre
Avatar du membre

Auteur du sujet
RSS-Bot
Ami(e) de Diamant
Ami(e) de Diamant
Messages : 6511
Enregistré le : 31 mai 2020 09:57
6
Zodiaque :
Âge : 22
Contact :
    Android Chrome

[Pubmed] The Value of Combined Detection of Systemic Inflammation Response Index and Prognostic Nutritional Index in Pre

Message par RSS-Bot »


J Inflamm Res. 2025 Sep 26;18:13319-13333. doi: 10.2147/JIR.S546111. eCollection 2025.

ABSTRACT

PURPOSE: Although systemic inflammation response index (SIRI) and prognostic nutritional index (PNI) are associated with prognosis in various diseases, their role in myasthenia gravis (MG) remains unclear. This study aims to evaluate the predictive value of SIRI combined with PNI for MG prognosis.

METHODS: 260 MG patients were enrolled in this retrospective study and were categorized into clinical improvement and non-improvement groups based on changes in MG-ADL and QMG scores after 6 months' treatment. Lymphocyte-to-monocyte ratio (LMR), platelet-to-lymphocyte ratio (PLR), neutrophil-to-lymphocyte ratio (NLR), SIRI and PNI were calculated from admission blood indices. Clinical differences between groups were compared. Logistic regression was used to identify independent predictors of clinical non-improvement. The ROC curve was utilized to assess the prognostic predictive value of SIRI, PNI, and their combination. Interaction effects and stratified analyses were used to explore the relationship between SIRI, PNI and MG prognosis across distinct subgroups.

RESULTS: Patients without clinical improvement exhibited significantly elevated SIRI, NLR, and PLR, whereas LMR and PNI were reduced (p < 0.001). Multivariate logistic regression demonstrated that both SIRI and PNI significantly predicted clinical non-improvement (OR = 9.108, 95% CI: 3.412-24.317, p < 0.001; OR = 0.695, 95% CI: 0.601-0.804, p < 0.001). The area under the curve (AUC) of SIRI combined with PNI for predicting clinical non-improvement in MG was 0.928 (95% CI:0.896-0.961, sensitivity: 0.873, specificity: 0.851), which is higher than SIRI (AUC: 0.841, 95% CI: 0.783-0.899, sensitivity: 0.772, specificity: 0.845) and PNI (AUC: 0.822, 95% CI: 0.770-0.875, sensitivity: 0.759, specificity: 0.740) alone. A statistically significant interaction was identified between SIRI and thymoma (p = 0.009).

CONCLUSION: SIRI and PNI are independently associated with MG prognosis, particularly in thymoma cases, where SIRI shows a stronger correlation. Furthermore, the combination of SIRI and PNI can serve as a valuable predictor of clinical non-improvement in MG.

PMID:41040990 | PMC:PMC12484099 | DOI:10.2147/JIR.S546111


Source: https://pubmed.ncbi.nlm.nih.gov/4104099 ... t9+e462414
Si vous appréciez notre travail, merci de nous soutenir un petit don en cliquant ICI

Pour obtenir la traduction en français,
cliquez sur le bouton situé dans la barre des menus en haut de cette page 

Image


Pour les donateurs, si cet article vous intéresse, nous pouvons faire l’acquisition d'un tiré-à-part.
Merci d'en faire la demande sur [email protected]


Bonne lecture...
Répondre

Retourner vers « Echos de la recherche »