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全身免疫炎症指数升高可预测吉兰-巴雷综合征患者发生呼吸衰竭。

Increased systemic immune-inflammation index can predict respiratory failure in patients with Guillain-Barré syndrome.

机构信息

Department of Neurology, Ningbo Medical Center Li-Huili Hospital, Ningbo, China.

Department of Geriatric Neurology, First Affiliated Hospital of Kunming Medical University, 295, Xi Change Road, Kunming, 650032, Yunnan Province, China.

出版信息

Neurol Sci. 2022 Feb;43(2):1223-1231. doi: 10.1007/s10072-021-05420-x. Epub 2021 Jul 1.

Abstract

BACKGROUND

Guillain-Barré syndrome (GBS) is a common peripheral neuropathy with relatively heterogenous clinical manifestations. In severe cases, it can result in disabling neuromuscular symptoms and respiratory failure. In this study, we assessed whether the systemic immune-inflammation index (SII) is associated with respiratory failure in GBS patients.

METHODS

We retrospectively analyzed clinicopathological data from GBS patients diagnosed in the First Affiliated Hospital of Kunming Medical University. SII was calculated based on counts of neutrophils (N), platelets (P), and lymphocytes (L). Receiver operating characteristic (ROC) curve analysis was used to determine the optimal cutoff values for SII, N, P, and L. Univariate and multivariate logistic regression were performed to determine the ability of the SII to predict respiratory failure.

RESULTS

Among the 369 GBS patients in this study, 61 (16.5%) suffered respiratory failure. Multivariate logistic regression showed that N ≥ 6.03 × 10/l, Hughes Functional Grading Scale (HFGS) score ≥ 3 at admission, and SII ≥ 863.04 × 10/l can independently predict respiratory failure in GBS patients. SII showed higher predictive ability than N, based on area under the ROC curve (0.75 vs. 0.72).

CONCLUSION

SII may be a novel independent prognostic indicator of respiratory failure in GBS patients, helping physicians identify those at risk in a timely manner.

摘要

背景

吉兰-巴雷综合征(GBS)是一种常见的周围神经病,具有相对异质性的临床表现。在严重的情况下,它会导致致残性的神经肌肉症状和呼吸衰竭。在本研究中,我们评估了全身免疫炎症指数(SII)是否与 GBS 患者的呼吸衰竭有关。

方法

我们回顾性分析了昆明医科大学第一附属医院诊断的 GBS 患者的临床病理数据。SII 是根据中性粒细胞(N)、血小板(P)和淋巴细胞(L)的计数计算得出的。使用受试者工作特征(ROC)曲线分析确定 SII、N、P 和 L 的最佳截断值。使用单因素和多因素逻辑回归来确定 SII 预测呼吸衰竭的能力。

结果

在本研究的 369 名 GBS 患者中,有 61 名(16.5%)发生呼吸衰竭。多因素逻辑回归显示,N≥6.03×10/l、入院时 Hughes 功能分级量表(HFGS)评分≥3 和 SII≥863.04×10/l 可以独立预测 GBS 患者的呼吸衰竭。SII 在 ROC 曲线下面积(0.75 对 0.72)方面显示出比 N 更高的预测能力。

结论

SII 可能是 GBS 患者呼吸衰竭的一个新的独立预后指标,有助于医生及时识别高危患者。

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