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Abstract：
UNASSIGNED: Stroke-associated pneumonia (SAP) usually complicates stroke and is linked to adverse prognoses. Triglycerides, total cholesterol, and body weight index (TCBI) is a new and simple calculated nutrition index. This study seeks to investigate the association between TCBI and SAP incidence, along with its predictive value.
UNASSIGNED: Nine hundred and sixty-two patients with acute ischemic stroke were divided into SAP group and Non-SAP group. The TCBI was divided into three layers: T1, TCBI < 948.33; T2, TCBI 948.33-1647.15; T3, TCBI > 1647.15. Binary Logistic regression analysis was used to determine the relationship between TCBI levels and the incidence of SAP. Furthermore, restricted cubic splines (RCS) analysis was utilized to evaluate the influence of TCBI on the risk of SAP.
UNASSIGNED: TCBI in the SAP group was markedly lower compared to that in the Non-SAP group (P < 0.001). The Logistic regression model revealed that, using T3 layer as the reference, T1 layer had the highest risk for SAP prevalence (OR = 2.962, 95% CI: 1.600-5.485, P = 0.001), with confounding factors being controlled. The RCS model found that TCBI had a linear relationship with SAP (P for nonlinear = 0.490, P for overall = 0.004). Moreover, incorporating TCBI into the A2DS2 (Age, atrial fibrillation, dysphagia, sex, and severity) model substantially enhanced the initial model\'s predictive accuracy.
UNASSIGNED: Low TCBI was associated with a higher risk of SAP. In clinical practice, TCBI has shown predictive value for SAP, contributing to early intervention and treatment of SAP.
UNASSIGNED: Nine hundred and sixty-two patients with acute ischemic stroke were divided into SAP group and Non-SAP group. The TCBI was divided into three layers: T1, TCBI < 948.33; T2, TCBI 948.33-1647.15; T3, TCBI > 1647.15. Binary Logistic regression analysis was used to determine the relationship between TCBI levels and the incidence of SAP. Furthermore, restricted cubic splines (RCS) analysis was utilized to evaluate the influence of TCBI on the risk of SAP.
UNASSIGNED: TCBI in the SAP group was markedly lower compared to that in the Non-SAP group (P < 0.001). The Logistic regression model revealed that, using T3 layer as the reference, T1 layer had the highest risk for SAP prevalence (OR = 2.962, 95% CI: 1.600-5.485, P = 0.001), with confounding factors being controlled. The RCS model found that TCBI had a linear relationship with SAP (P for nonlinear = 0.490, P for overall = 0.004). Moreover, incorporating TCBI into the A2DS2 (Age, atrial fibrillation, dysphagia, sex, and severity) model substantially enhanced the initial model\'s predictive accuracy.
UNASSIGNED: Low TCBI was associated with a higher risk of SAP. In clinical practice, TCBI has shown predictive value for SAP, contributing to early intervention and treatment of SAP.
摘要：
卒中相关性肺炎（SAP）通常会使卒中复杂化，并与不良预后有关。甘油三酯,总胆固醇,体重指数（TCBI）是一种新的简单计算的营养指数。本研究旨在调查TCBI与SAP发病率之间的关系。以及它的预测价值。
■9162例急性缺血性卒中患者分为SAP组和非SAP组。TCBI分为三层:T1,TCBI<948.33;T2,TCBI948.33-1647.15;T3,TCBI>1647.15。采用二元Logistic回归分析确定TCBI水平与SAP发病率之间的关系。此外，限制性三次样条(RCS)分析用于评估TCBI对SAP风险的影响.
■SAP组的TCBI明显低于非SAP组(P<0.001)。Logistic回归模型显示,使用T3图层作为参考，T1层的SAP患病率最高（OR=2.962，95％CI：1.600-5.485，P=0.001）。混杂因素得到控制。RCS模型发现TCBI与SAP呈线性关系（非线性P=0.490，总体P=0.004）。此外，将TCBI纳入A2DS2(年龄，心房颤动,吞咽困难,性别,和严重性)模型大大提高了初始模型的预测准确性。
■低TCBI与SAP的高风险相关。在临床实践中,TCBI已显示出对SAP的预测价值，有助于SAP的早期干预和治疗。
■9162例急性缺血性卒中患者分为SAP组和非SAP组。TCBI分为三层:T1,TCBI<948.33;T2,TCBI948.33-1647.15;T3,TCBI>1647.15。采用二元Logistic回归分析确定TCBI水平与SAP发病率之间的关系。此外，限制性三次样条(RCS)分析用于评估TCBI对SAP风险的影响.
■SAP组的TCBI明显低于非SAP组(P<0.001)。Logistic回归模型显示,使用T3图层作为参考，T1层的SAP患病率最高（OR=2.962，95％CI：1.600-5.485，P=0.001）。混杂因素得到控制。RCS模型发现TCBI与SAP呈线性关系（非线性P=0.490，总体P=0.004）。此外，将TCBI纳入A2DS2(年龄，心房颤动,吞咽困难,性别,和严重性)模型大大提高了初始模型的预测准确性。
■低TCBI与SAP的高风险相关。在临床实践中,TCBI已显示出对SAP的预测价值，有助于SAP的早期干预和治疗。
