| 血小板-淋巴细胞比值对颅脑损伤患者6个月预后的预测价值 |
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| 引用本文： | 王绅,徐旭旭,王如海. 血小板-淋巴细胞比值对颅脑损伤患者6个月预后的预测价值[J]. 中华神经创伤外科电子杂志, 2022, 8(3): 150-154. DOI: 10.3877/cma.j.issn.2095-9141.2022.03.004 |
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| 作者姓名： | 王绅 徐旭旭 王如海 |
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| 作者单位： | 1. 200127 上海市嘉定区中心医院神经外科2. 201199 上海市闵行区中心医院神经外科3. 236063 阜阳市第五人民医院神经外科 |
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| 摘 要： | 目的探讨血小板-淋巴细胞比值（PLR）预测颅脑损伤（TBI）患者6个月预后的价值。 方法回顾性分析安徽省阜阳市第五人民医院神经外科自2017年1月至2021年2月收治的346例TBI患者的临床资料。根据患者出院后6个月的扩展格拉斯哥预后（GOS-E）量表评分将患者分为预后不良组（GOS-E评分≤4分）和预后良好组（GOS-E评分5~8分）。通过单因素和多因素Logistic回归分析影响预后不良的危险因素。建立3个基于入院时临床资料的预测模型，采用受试者工作特征（ROC）曲线和曲线下面积（AUC）分析PLR对TBI患者6个月预后的预测价值。 结果346例TBI患者中，280例患者预后良好（预后良好组），66例患者预后不良（预后不良组）。单因素分析和多因素Logistic回归分析结果显示，高龄、入院时较低的GCS评分、高白细胞计数、低血小板计数和较低的PLR是TBI患者预后的独立危险因素。ROC曲线分析结果显示，结合PLR和标准变量的模型更有利于预测TBI患者6个月的预后（AUC=0.957，95%CI：0.931~0.976）。 结论入院时PLR水平具有较好预测TBI患者6个月预后不良的价值。
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| 关 键 词： | 颅脑损伤 血小板-淋巴细胞比值 预后 |
| 收稿时间： | 2022-01-25 |
Prognostic value of platelet-to-lymphocyte ratio in predicting the 6-month outcome of patients with traumatic brain injury |
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| Shen Wang,Xuxu Xu,Ruhai Wang. Prognostic value of platelet-to-lymphocyte ratio in predicting the 6-month outcome of patients with traumatic brain injury[J]. Chinese Journal of Neurotraumatic Surgery, 2022, 8(3): 150-154. DOI: 10.3877/cma.j.issn.2095-9141.2022.03.004 |
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| Authors: | Shen Wang Xuxu Xu Ruhai Wang |
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| Affiliation: | 1. Department of Neurosurgery, Shanghai Jiading District Central Hospital, Shanghai 200127, China2. Department of Neurosurgery, Shanghai Minhang District Central Hospital, Shanghai 201199, China3. Department of Neurosurgery, Fuyang Fifth People’s Hospital, Fuyang 236063, China |
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| Abstract: | ObjectiveTo investigate the value of platelet-to-lymphocyte ratio (PLR) for predicting the 6-month outcome of patients with traumatic brain injury (TBI). MethodsThe clinical data of 346 TBI patients who were admitted to the Neurosurgery Department of Fuyang Fifth People’s Hospital of Anhui Province from January 2017 to February 2021 were retrospectively reviewed. The patients were divided into a poor prognosis group (GOS-E score ≤ 4 points) and a good prognosis group (GOS-E score 5-8 points) according to GOS-E progonosis scores at 6 months after discharge. Univariate and multivariate Logistic regression analyses were used to assess the risk factors of poor prognosis. Three predictive models based on admission characteristics were built with receiver operating characteristic (ROC) curve and area under the curve (AUC) to evaluate the prognostic value of the PLR in predicting the 6-month outcome of patients with TBI. ResultsOf 346 TBI patients, 280 patients had a good prognosis (good prognosis group) and 66 patients had a poor prognosis (poor prognosis group). The results of univariate and multivariate Logistic regression analysis showed that advanced age, low GCS score at admission, high leukocyte count, low platelet count and low PLR were independent risk factors for prognosis in patients with TBI. ROC curve analysis showed that the model combining the PLR and standard variables (AUC=0.957, 95%CI: 0.931-0.976) was more favorable in predicting 6-month outcome of patients with TBI. ConclusionThe level of PLR at admission has great predictive value for 6-month prognosis of patients with TBI in 6 months. |
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| Keywords: | Traumatic brain injury Platelet-to-lymphocyte ratio Prognosis |
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