全身炎症反应指数与预后营养指数联合检测在预测重症肌无力短期预后中的价值。

IF 4.1 2区 医学 Q2 IMMUNOLOGY
Journal of Inflammation Research Pub Date : 2025-09-26 eCollection Date: 2025-01-01 DOI:10.2147/JIR.S546111
Ting Chen, Hui Chen, Yishuang Wen, Yanzhen Huang, Ziqun Lin, Qing Liang, Wen Huang
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引用次数: 0

摘要

目的:尽管全身炎症反应指数(SIRI)和预后营养指数(PNI)与多种疾病的预后相关,但它们在重症肌无力(MG)中的作用尚不清楚。本研究旨在评价SIRI联合PNI对MG预后的预测价值。方法:260例MG患者纳入回顾性研究,根据治疗6个月后MG- adl和QMG评分的变化分为临床改善组和非改善组。根据入院血液指标计算淋巴细胞与单核细胞比值(LMR)、血小板与淋巴细胞比值(PLR)、中性粒细胞与淋巴细胞比值(NLR)、SIRI和PNI。比较两组临床差异。使用逻辑回归来确定临床无改善的独立预测因素。采用ROC曲线评估SIRI、PNI及其联合对预后的预测价值。采用交互效应和分层分析探讨不同亚组间SIRI、PNI和MG预后之间的关系。结果:无临床改善的患者SIRI、NLR和PLR显著升高,而LMR和PNI降低(p < 0.001)。多因素logistic回归显示,SIRI和PNI均能显著预测临床无改善(OR = 9.108, 95% CI: 3.412-24.317, p < 0.001; OR = 0.695, 95% CI: 0.601-0.804, p < 0.001)。SIRI联合PNI预测MG临床无改善的曲线下面积(AUC)为0.928 (95% CI:0.896-0.961,敏感性:0.873,特异性:0.851),高于SIRI (AUC: 0.841, 95% CI: 0.783-0.899,敏感性:0.772,特异性:0.845)和PNI (AUC: 0.822, 95% CI: 0.770-0.875,敏感性:0.759,特异性:0.740)单独使用。SIRI与胸腺瘤之间存在显著的交互作用(p = 0.009)。结论:SIRI和PNI与MG预后独立相关,尤其是胸腺瘤患者,SIRI相关性更强。此外,SIRI和PNI的结合可以作为MG临床无改善的有价值的预测指标。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

The Value of Combined Detection of Systemic Inflammation Response Index and Prognostic Nutritional Index in Predicting Short-Term Prognosis of Myasthenia Gravis.

The Value of Combined Detection of Systemic Inflammation Response Index and Prognostic Nutritional Index in Predicting Short-Term Prognosis of Myasthenia Gravis.

The Value of Combined Detection of Systemic Inflammation Response Index and Prognostic Nutritional Index in Predicting Short-Term Prognosis of Myasthenia Gravis.

The Value of Combined Detection of Systemic Inflammation Response Index and Prognostic Nutritional Index in Predicting Short-Term Prognosis of Myasthenia Gravis.

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.

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来源期刊
Journal of Inflammation Research
Journal of Inflammation Research Immunology and Microbiology-Immunology
CiteScore
6.10
自引率
2.20%
发文量
658
审稿时长
16 weeks
期刊介绍: An international, peer-reviewed, open access, online journal that welcomes laboratory and clinical findings on the molecular basis, cell biology and pharmacology of inflammation.
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