Yufeng Liu, Yan Chen, Zhongwen Zhi, Ping Wang, Mengchao Wang, Qian Li, Yuqian Wang, Liandong Zhao, Chun Chen
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引用次数: 0
Abstract
Purpose: 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.
Patients and methods: 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.
Results: 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.
Conclusion: 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.
目的：卒中相关肺炎（SAP）通常是卒中的并发症，与不良预后有关。甘油三酯、总胆固醇和体重指数（TCBI）是一种新的、简单的营养计算指数。本研究旨在探讨 TCBI 与 SAP 发病率之间的关系及其预测价值：962例急性缺血性脑卒中患者分为SAP组和非SAP组。TCBI 分为三层：T1，TCBI < 948.33；T2，TCBI 948.33-1647.15；T3，TCBI > 1647.15。二元逻辑回归分析用于确定 TCBI 水平与 SAP 发病率之间的关系。此外，还利用限制性立方样条（RCS）分析来评估 TCBI 对 SAP 风险的影响：结果：与非 SAP 组相比，SAP 组的 TCBI 水平明显较低（P < 0.001）。逻辑回归模型显示，以 T3 层为参照，在控制混杂因素的情况下，T1 层的 SAP 患病风险最高（OR = 2.962，95% CI：1.600-5.485，P = 0.001）。RCS 模型发现 TCBI 与 SAP 呈线性关系（非线性 P = 0.490，整体 P = 0.004）。此外，将 TCBI 纳入 A2DS2（年龄、心房颤动、吞咽困难、性别和严重程度）模型大大提高了初始模型的预测准确性：低 TCBI 与较高的 SAP 风险相关。在临床实践中，TCBI 对 SAP 具有预测价值，有助于 SAP 的早期干预和治疗。
期刊介绍：
Clinical Interventions in Aging, is an online, peer reviewed, open access journal focusing on concise rapid reporting of original research and reviews in aging. Special attention will be given to papers reporting on actual or potential clinical applications leading to improved prevention or treatment of disease or a greater understanding of pathological processes that result from maladaptive changes in the body associated with aging. This journal is directed at a wide array of scientists, engineers, pharmacists, pharmacologists and clinical specialists wishing to maintain an up to date knowledge of this exciting and emerging field.
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