医学
接收机工作特性
内科学
狭窄
心脏病学
全身炎症
颈动脉
淋巴细胞
中性粒细胞与淋巴细胞比率
胃肠病学
平均血小板体积
切断
曲线下面积
炎症
血小板
物理
量子力学
作者
Şaban Keleşoğlu,Yücel Yılmaz,Deniz Elcık,Fehmi Bireciklioglu,Fatma Özdemir,Fatih Balcı,Aydın Tunçay,Nihat Kalay
出处
期刊:Angiology
[SAGE]
日期:2022-12-07
卷期号:74 (8): 790-797
被引量:15
标识
DOI:10.1177/00033197221144934
摘要
Stroke is a significant contributor to morbidity and mortality. The present study investigated how the systemic immune inflammation index (SII) could be used to predict the likelihood of developing carotid artery stenosis (CAS), which can be seen using carotid artery angiography (CAAG). This study comprised 418 individuals who underwent CAAG for CAS. SII was calculated by multiplying the platelet count by the neutrophil/lymphocyte ratio (NLR). The patients were divided into two groups: non-critical and critical CAS (stenosis below %70 and above ≥70%, respectively). Compared with the non-critical CAS, the critical CAS group had greater high sensitivity C-reactive protein levels (4.5 [3.1-5.7] vs 3.9 [2-5] [mg/L], P < .001), NLR (4.1 [2.9-7.5] vs 2.9 [1.8-3.7], P < .001), platelet/lymphocyte ratio (233 [110-297] vs 119 [96-197], P < .001), and SII (860 [608-2455] vs 604 [458-740], P < .001). Receiver Operating Characteristic Curve analysis demonstrated the best cutoff value of 672.3 for SII to predict the critical CAS with 71.2% sensitivity and 60.1% specificity. According to our study, an increase in SII is an independent predictor of the severity of CAS in patients undergoing CAAG.
科研通智能强力驱动
Strongly Powered by AbleSci AI