{"title":"中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值在预测急性脑出血术后应激性溃疡中的应用价值","authors":"Tingting Wang , Yanfei Chen , Zenghui Liu","doi":"10.1016/j.clineuro.2024.108557","DOIUrl":null,"url":null,"abstract":"<div><h3>Objective</h3><p>The Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) are established biomarkers that are associated with the severity, progression, and fatality of diseases. This study aimed to determine their predictive value for the occurrence of stress ulcers (SU) following surgery for acute cerebral hemorrhage.</p></div><div><h3>Methods</h3><p>Retrospective data from 210 patients with acute cerebral hemorrhage hospitalized between June 2020 and March 2023 were analyzed. Patients were categorized into two groups based on the occurrence of SU post-surgery: the SU group (42 patients) and the non-SU group (168 patients). Clinical characteristics of both groups were compared, and a multivariate logistic regression was conducted to identify independent risk factors for SU. The study evaluated the predictive value of NLR and PLR, individually and in combination, for predicting SU using Receiver Operating Characteristic (ROC) curves.</p></div><div><h3>Results</h3><p>We observed significant differences between the SU and non-SU groups in several parameters, including GCS score, absolute neutrophils, NLR, PLR, postoperative tracheotomy, and intracranial infection (<em>P < 0.05</em>). Our multivariate logistic regression analysis identified four independent risk factors for SU in patients undergoing surgery for acute cerebral hemorrhage: GCS score, NLR, PLR, and fasting blood glucose (<em>P < 0.05</em>). Furthermore, ROC analysis demonstrated that the combination of NLR and PLR exhibited the highest AUC, sensitivity, and specificity in predicting SU following surgery for acute cerebral hemorrhage (<em>P < 0.001</em>), with values of 0.864 (95 % CI: 0.776–0.953), 0.778 (95 % CI: 0.658–0.899), and 0.941 (95 % CI: 0.889–0.993) respectively.</p></div><div><h3>Conclusion</h3><p>This study highlighted the combined application of PLR and NLR as a significant predictor of SU in patients post-acute cerebral hemorrhage surgery.</p></div>","PeriodicalId":10385,"journal":{"name":"Clinical Neurology and Neurosurgery","volume":null,"pages":null},"PeriodicalIF":1.8000,"publicationDate":"2024-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Application value of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in predicting stress ulcer after acute cerebral hemorrhage surgery\",\"authors\":\"Tingting Wang , Yanfei Chen , Zenghui Liu\",\"doi\":\"10.1016/j.clineuro.2024.108557\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Objective</h3><p>The Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) are established biomarkers that are associated with the severity, progression, and fatality of diseases. This study aimed to determine their predictive value for the occurrence of stress ulcers (SU) following surgery for acute cerebral hemorrhage.</p></div><div><h3>Methods</h3><p>Retrospective data from 210 patients with acute cerebral hemorrhage hospitalized between June 2020 and March 2023 were analyzed. Patients were categorized into two groups based on the occurrence of SU post-surgery: the SU group (42 patients) and the non-SU group (168 patients). Clinical characteristics of both groups were compared, and a multivariate logistic regression was conducted to identify independent risk factors for SU. The study evaluated the predictive value of NLR and PLR, individually and in combination, for predicting SU using Receiver Operating Characteristic (ROC) curves.</p></div><div><h3>Results</h3><p>We observed significant differences between the SU and non-SU groups in several parameters, including GCS score, absolute neutrophils, NLR, PLR, postoperative tracheotomy, and intracranial infection (<em>P < 0.05</em>). Our multivariate logistic regression analysis identified four independent risk factors for SU in patients undergoing surgery for acute cerebral hemorrhage: GCS score, NLR, PLR, and fasting blood glucose (<em>P < 0.05</em>). Furthermore, ROC analysis demonstrated that the combination of NLR and PLR exhibited the highest AUC, sensitivity, and specificity in predicting SU following surgery for acute cerebral hemorrhage (<em>P < 0.001</em>), with values of 0.864 (95 % CI: 0.776–0.953), 0.778 (95 % CI: 0.658–0.899), and 0.941 (95 % CI: 0.889–0.993) respectively.</p></div><div><h3>Conclusion</h3><p>This study highlighted the combined application of PLR and NLR as a significant predictor of SU in patients post-acute cerebral hemorrhage surgery.</p></div>\",\"PeriodicalId\":10385,\"journal\":{\"name\":\"Clinical Neurology and Neurosurgery\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":1.8000,\"publicationDate\":\"2024-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Neurology and Neurosurgery\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S030384672400444X\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CLINICAL NEUROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Neurology and Neurosurgery","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S030384672400444X","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CLINICAL NEUROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
目的 血小板淋巴细胞比值(Platelet-to-Lymphocyte Ratio,PLR)和中性粒细胞淋巴细胞比值(Nutrophil-to-Lymphocyte Ratio,NLR)是与疾病的严重程度、进展和致死率相关的既定生物标志物。本研究旨在确定它们对急性脑出血手术后应激性溃疡(SU)发生的预测价值。方法分析 2020 年 6 月至 2023 年 3 月期间住院的 210 名急性脑出血患者的回顾性数据。根据术后出现 SU 的情况将患者分为两组:SU 组(42 例)和非 SU 组(168 例)。比较了两组患者的临床特征,并进行了多变量逻辑回归,以确定导致 SU 的独立风险因素。结果我们观察到 SU 组和非 SU 组在 GCS 评分、绝对中性粒细胞、NLR、PLR、术后气管切开和颅内感染等几个参数上存在显著差异(P < 0.05)。我们的多变量逻辑回归分析确定了急性脑出血手术患者 SU 的四个独立危险因素:GCS评分、NLR、PLR和空腹血糖(P < 0.05)。此外,ROC 分析表明,NLR 和 PLR 的组合在预测急性脑出血手术后 SU 方面表现出最高的 AUC 值、灵敏度和特异性(P < 0.001),分别为 0.864(95 % CI:0.结论本研究强调了 PLR 和 NLR 的联合应用可显著预测急性脑出血术后患者的 SU。
Application value of neutrophil to lymphocyte ratio and platelet to lymphocyte ratio in predicting stress ulcer after acute cerebral hemorrhage surgery
Objective
The Platelet-to-Lymphocyte Ratio (PLR) and Neutrophil-to-Lymphocyte Ratio (NLR) are established biomarkers that are associated with the severity, progression, and fatality of diseases. This study aimed to determine their predictive value for the occurrence of stress ulcers (SU) following surgery for acute cerebral hemorrhage.
Methods
Retrospective data from 210 patients with acute cerebral hemorrhage hospitalized between June 2020 and March 2023 were analyzed. Patients were categorized into two groups based on the occurrence of SU post-surgery: the SU group (42 patients) and the non-SU group (168 patients). Clinical characteristics of both groups were compared, and a multivariate logistic regression was conducted to identify independent risk factors for SU. The study evaluated the predictive value of NLR and PLR, individually and in combination, for predicting SU using Receiver Operating Characteristic (ROC) curves.
Results
We observed significant differences between the SU and non-SU groups in several parameters, including GCS score, absolute neutrophils, NLR, PLR, postoperative tracheotomy, and intracranial infection (P < 0.05). Our multivariate logistic regression analysis identified four independent risk factors for SU in patients undergoing surgery for acute cerebral hemorrhage: GCS score, NLR, PLR, and fasting blood glucose (P < 0.05). Furthermore, ROC analysis demonstrated that the combination of NLR and PLR exhibited the highest AUC, sensitivity, and specificity in predicting SU following surgery for acute cerebral hemorrhage (P < 0.001), with values of 0.864 (95 % CI: 0.776–0.953), 0.778 (95 % CI: 0.658–0.899), and 0.941 (95 % CI: 0.889–0.993) respectively.
Conclusion
This study highlighted the combined application of PLR and NLR as a significant predictor of SU in patients post-acute cerebral hemorrhage surgery.
期刊介绍:
Clinical Neurology and Neurosurgery is devoted to publishing papers and reports on the clinical aspects of neurology and neurosurgery. It is an international forum for papers of high scientific standard that are of interest to Neurologists and Neurosurgeons world-wide.