Department of Neurology, West China Hospital, Sichuan University, 37, Guo Xue Xiang, Chengdu, Sichuan Province 610041, China.
Department of Neurology, Seventh People's Hospital of Chengdu, No. 1, Twelve Middle Street, Wuhou District, Chengdu, Sichuan Province 610041, China.
J Neuroimmunol. 2021 Apr 15;353:577504. doi: 10.1016/j.jneuroim.2021.577504. Epub 2021 Jan 30.
Up to 20-30% of patients with Guillain-Barré syndrome (GBS) suffer serious clinical manifestations such as respiratory failure. We aim to determine whether two new prognostic biomarkers, the neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR), could reliably predict respiratory failure in GBS.we MATERIALS AND METHODS: Data from 426 patients diagnosed at our center with GBS between January 2015 and July 2019 were retrospectively analyzed. Data were collected from the hospital database. Logistic regression and receiver operating characteristic curves were used to examine whether NLR alone, PLR alone or the combination, as measured at admission, could predict respiratory failure during hospitalization. Nomograms for predicting respiratory failure in GBS individuals were established, and predictive accuracy was evaluated using Harrell's concordance index (C-index).
A total of 74 (17%) patients developed respiratory failure during hospitalization, and this was predicted independently by neutrophil count, NLR, PLR, and a combined "NLR-PLR" index, with the combined index performing best. The C-index of nomograms was 0.952 (95%CI 0.930-0.974) when NLR-PLR was included, or 0.933 (95%CI 0.911-0.955) when it was excluded.
The prognostic biomarkers NLR and PLR may be independent predictors of respiratory failure in GBS. Combining the two indices may be more effective than either one on its own.
多达 20-30%的格林-巴利综合征(GBS)患者出现严重的临床表现,如呼吸衰竭。我们旨在确定两种新的预后生物标志物,中性粒细胞与淋巴细胞比值(NLR)和血小板与淋巴细胞比值(PLR),是否能够可靠地预测 GBS 患者的呼吸衰竭。
回顾性分析了 2015 年 1 月至 2019 年 7 月在我院确诊的 426 例 GBS 患者的数据。数据从医院数据库中收集。使用逻辑回归和受试者工作特征曲线检查入院时单独的 NLR、PLR 或两者的组合是否可以预测住院期间的呼吸衰竭。建立了预测 GBS 个体呼吸衰竭的列线图,并使用 Harrell 一致性指数(C-index)评估预测准确性。
共有 74 例(17%)患者在住院期间发生呼吸衰竭,这可独立由中性粒细胞计数、NLR、PLR 和联合的“NLR-PLR”指数预测,联合指数表现最佳。当包含 NLR-PLR 时,列线图的 C 指数为 0.952(95%CI 0.930-0.974),当排除 NLR-PLR 时,C 指数为 0.933(95%CI 0.911-0.955)。
预后生物标志物 NLR 和 PLR 可能是 GBS 患者呼吸衰竭的独立预测因子。将两者结合起来可能比单独使用任何一种更有效。