Cicek Vedat, Kilic Sahhan, Dogan Selami, Erdem Almina, Babaoglu Mert, Yilmaz Irem, Karaismail Salih, Atmaca Murat Mert, Hayiroglu Mert Ilker, Cinar Tufan, Bagci Ulas
Machine & Hybrid Intelligence Lab, Department of Radiology, Northwestern University, 737 N. Michigan Avenue Suite 1600, Chicago, IL 60611, USA.
Department of Cardiology, Sultan II. Abdulhamid Han Training and Research Hospital, Health Sciences University, 34668 Istanbul, Turkey.
Medicina (Kaunas). 2024 Dec 12;60(12):2046. doi: 10.3390/medicina60122046.
: Studies have shown that inflammation markers can be used as prognostic tools in predicting acute ischemic stroke. In this study, we conducted a comparison of several inflammation scores in predicting left atrial thrombosis (LAT) in patients with ischemic stroke without AF. : In this single-center, retrospective study, we included 303 consecutive patients with ischemic stroke. Each patient underwent a transesophageal echocardiography (TEE) examination within 10 days of admission to detect the presence of LAT. To identify independent predictors of LAT, we conducted a multivariate logistic regression analysis. : In total, 303 patients who had ischemic stroke were included in the analysis. LAT was detached in 34 patients at the time of the TEE examination. The patients were categorized into two groups based on their LAT status. The Prognostic Nutritional Index (PNI), HALP score, and C-reactive Protein-Albumin Ratio (CAR) were identified as statistically significant predictors of LAT. Based on the results of the multivariate regression analysis, the CAR emerged as the only independent predictor of LAT. : Among several inflammation scores, the PNI, HALP, and CAR were statistically significant predictors of LAT in ischemic stroke patients without AF. CAR was identified as the optimal score for the prediction of LAT in patients with stroke and without AF.
研究表明,炎症标志物可作为预测急性缺血性卒中的预后工具。在本研究中,我们比较了几种炎症评分在预测非房颤缺血性卒中患者左心房血栓形成(LAT)方面的作用。在这项单中心回顾性研究中,我们纳入了303例连续的缺血性卒中患者。每位患者在入院后10天内接受经食管超声心动图(TEE)检查以检测LAT的存在。为了确定LAT的独立预测因素,我们进行了多因素逻辑回归分析。总共303例缺血性卒中患者纳入分析。在TEE检查时,34例患者发现有LAT。根据患者的LAT状态将其分为两组。预后营养指数(PNI)、HALP评分和C反应蛋白-白蛋白比值(CAR)被确定为LAT的统计学显著预测因素。基于多因素回归分析结果,CAR是LAT的唯一独立预测因素。在几种炎症评分中,PNI、HALP和CAR是无房颤缺血性卒中患者LAT的统计学显著预测因素。CAR被确定为预测无房颤卒中患者LAT的最佳评分。