Meng Xuelian, Li Xia, Tang Zhihong
Department of Critical Care Medicine, West China Hospital, Sichuan University, Chengdu, China.
West China School of Nursing, Sichuan University, Chengdu, China.
Neurosurg Rev. 2025 May 21;48(1):434. doi: 10.1007/s10143-025-03571-5.
Pneumonia is a common and serious complication among patients with traumatic brain injury (TBI), significantly impacting their prognosis. The Braden Scale (BS), a tool for assessing the risk of pressure ulcers, has been shown to effectively predict outcomes in various conditions. This study aims to evaluate the predictive value of the Braden Scale for TBI-related pneumonia and to develop a pneumonia prediction model for TBI patients in the intensive care unit (ICU). Clinical data of TBI patients who had a BS documented on ICU admission were retrospectively extracted from the Medical Information Mart for Intensive Care database. Restricted cubic spline (RCS) was employed to evaluate the nonlinear relationship between BS and pneumonia. Univariable and multivariable logistic analyses identified risk factors for TBI-related pneumonia, facilitating the construction of a nomogram model. The nomogram underwent internal validation through receiver operator characteristic (ROC) curve, calibration curve, and decision curve analysis. This study involved 2,175 TBI patients, among whom 516 (23.7%) with pneumonia. The total BS score and each subscale score of pneumonia patients were significantly lower than those of non-pneumonia patients (all P < 0.001). RCS analysis revealed a nonlinear L-shaped relationship between BS and the risk of pneumonia. Multivariable analysis identified eight risk factors for TBI-related pneumonia, including BS < 15, male, calcium, heart failure, chronic pulmonary disease, sepsis, respiratory, and temperature. By incorporating these variables, the predictive nomogram achieved an area under the ROC curve (AUC) of 0.803 (95% CI, 0.782-0.824) and had a well-fitted calibration curve and good clinical practicability. Furthermore, the predictive value of the nomogram surpasses that of common severity score, including the Glasgow Coma Scale (AUC = 0.530), Simplified Acute Physiology Score II (AUC = 0.588), Sequential Organ Failure Assessment (AUC = 0.610), and Acute Physiology Score III (AUC = 0.607). The admission BS is a simple and reliable indicator for predicting TBI-related pneumonia. Incorporating BS into predictive model may enhance the assessment of pneumonia risk in TBI patients, thereby facilitating the identification of high-risk populations and promoting timely intervention.
肺炎是创伤性脑损伤(TBI)患者常见且严重的并发症,对其预后有显著影响。Braden量表(BS)是一种评估压疮风险的工具,已被证明能有效预测各种情况下的预后。本研究旨在评估Braden量表对TBI相关性肺炎的预测价值,并为重症监护病房(ICU)的TBI患者建立肺炎预测模型。从重症监护医学信息数据库中回顾性提取了入住ICU时记录有BS的TBI患者的临床数据。采用限制立方样条(RCS)评估BS与肺炎之间的非线性关系。单变量和多变量逻辑分析确定了TBI相关性肺炎的危险因素,有助于构建列线图模型。通过受试者工作特征(ROC)曲线、校准曲线和决策曲线分析对列线图进行内部验证。本研究纳入了2175例TBI患者,其中516例(23.7%)发生肺炎。肺炎患者的总BS评分及各子量表评分均显著低于非肺炎患者(均P<0.001)。RCS分析显示BS与肺炎风险之间呈非线性L形关系。多变量分析确定了8个TBI相关性肺炎的危险因素,包括BS<15、男性、钙、心力衰竭、慢性肺部疾病、脓毒症、呼吸和体温。通过纳入这些变量,预测列线图的ROC曲线下面积(AUC)为0.803(95%CI,0.782-0.824),校准曲线拟合良好,临床实用性良好。此外,列线图的预测价值超过了常见的严重程度评分,包括格拉斯哥昏迷量表(AUC=0.530)、简化急性生理学评分II(AUC=0.588)、序贯器官衰竭评估(AUC=0.610)和急性生理学评分III(AUC=0.607)。入院时的BS是预测TBI相关性肺炎的简单可靠指标。将BS纳入预测模型可能会增强对TBI患者肺炎风险的评估,从而有助于识别高危人群并促进及时干预。