Zaharia Andrei-Lucian, Oprea Violeta Diana, Coadă Camelia Alexandra, Tănase Claudiu Elisei, Ionescu Ana-Maria, Chirila Sergiu Ioachim, Mihailov Raul, Tutunaru Dana, Lungu Mihaiela
Faculty of Medicine and Pharmacy, "Dunărea de Jos" University of Galaţi, 800216 Galaţi, Romania.
"St. Apostle Andrei" Clinical Emergency County Hospital Galaţi, 800578 Galaţi, Romania.
Biomedicines. 2024 Aug 12;12(8):1828. doi: 10.3390/biomedicines12081828.
Stroke is a leading cause of death and severe disability worldwide. Rapid diagnosis is critical to ensure the timely administration of medical treatment. Given that in some cases CT scans fail to show the classic clinical signs of stroke, we aimed to evaluate the diagnostic capacity of adiponectin levels and their association with the clinical parameters of patients with acute ischemic stroke (AIS). Adiponectin was measured within 24 h (T1) and 48 h (T2) of AIS onset in 70 patients. A total of 68 control cases were included in the study. Adiponectin levels were significantly higher in the AIS patients than in the controls (16.64 (3.79; 16.69) vs. 3.78 (3.79; 16.69); < 0.001), with an accuracy of 0.98 (AUC = 0.99). Lower levels were seen in males and in AIS patients with obesity. Higher levels of adiponectin at T1 were associated with a moderate/severe NIHSS score at patient discharge. Moreover, higher levels of borderline significance were seen in patients who died within 12 months of their AIS episode ( = 0.054). Adiponectin may be a useful biomarker for the identification of AIS patients who do not present classic CT signs and could be used to stratify severe cases. Further studies are needed to validate these results.
中风是全球范围内导致死亡和严重残疾的主要原因。快速诊断对于确保及时给予医疗治疗至关重要。鉴于在某些情况下，CT扫描未能显示中风的典型临床体征，我们旨在评估脂联素水平的诊断能力及其与急性缺血性中风（AIS）患者临床参数的关联。在70例患者的AIS发病后24小时（T1）和48小时（T2）内测量脂联素水平。该研究共纳入68例对照病例。AIS患者的脂联素水平显著高于对照组（16.64（3.79；16.69）对3.78（3.79；16.69）；<0.001），准确率为0.98（AUC = 0.99）。男性和肥胖的AIS患者脂联素水平较低。T1时脂联素水平较高与患者出院时中度/重度NIHSS评分相关。此外，在AIS发作后12个月内死亡的患者中观察到具有边缘显著性的较高水平（= 0.054）。脂联素可能是识别无典型CT体征的AIS患者的有用生物标志物，可用于对严重病例进行分层。需要进一步研究来验证这些结果。
