Peng Wei, Wang Hui, Qiao Xiangliang
Department of Neurology, Suizhou Hospital, Hubei University of Medicine Suizhou 441300, Hubei, China.
Am J Transl Res. 2025 Apr 15;17(4):2957-2966. doi: 10.62347/MNDY3660. eCollection 2025.
This study aimed to develop and validate a nomogram for the early prediction of prognosis in patients with acute ischemic stroke (AIS) following intravenous thrombolysis (IVT), to facilitate clinical decision-making.
This retrospective study included 393 consecutive AIS patients who underwent IVT between January 2021 to December 2023. Patients were classified into either a good or a poor prognosis group. Logistic regression analysis was performed to identify prognostic factors associated with clinical outcome, including medical records, laboratory findings, and independent risk factors. The independent factors were then used to construct a prognostic nomogram.
Among the 393 AIS patients treated with IVT, 142 had a poor prognosis. Six independent predictors were identified: baseline National Institutes of Health Stroke Scale (NIHSS) score (95% CI: 1.133-1.229, P<0.001), B-type natriuretic peptide (95% CI: 1.044-1.532, P=0.036), age group (Group 1: 95% CI: 0.004-0.086, P<0.001; Group 2: 95% CI: 0.034-0.063, P=0.004), time from onset to thrombolysis (95% CI: 1.004-1.067, P=0.014), diabetes (95% CI: 0.315-0.887, P=0.016), and pre-thrombolysis prothrombin time (PT) (95% CI: 1.050-1.553, P=0.015). These factors were incorporated into a nomogram, which achieved an under the receiver operating characteristic curve (AUC-ROC) of 0.8075882, 95% CI (0.664-0.962).
We identified six independent prognostic factors for AIS patients after IVT, including NIHSS score, B-type natriuretic peptide, pre-thrombolysis PT, age, diabetes, and time from onset to thrombolysis. The developed nomogram demonstrated strong predictive performance and may aid clinicians in prognosis assessment for AIS patients receiving IVT.
本研究旨在开发并验证一种列线图,用于早期预测急性缺血性卒中(AIS)患者静脉溶栓(IVT)后的预后,以促进临床决策。
这项回顾性研究纳入了2021年1月至2023年12月期间连续接受IVT的393例AIS患者。患者被分为预后良好组或预后不良组。进行逻辑回归分析以确定与临床结局相关的预后因素,包括病历、实验室检查结果和独立危险因素。然后使用这些独立因素构建预后列线图。
在393例接受IVT治疗的AIS患者中,142例预后不良。确定了六个独立预测因素:基线美国国立卫生研究院卒中量表(NIHSS)评分(95%CI:1.133 - 1.229,P<0.001)、B型利钠肽(95%CI:1.044 - 1.532,P = 0.036)、年龄组(第1组:95%CI:0.004 - 0.086,P<0.001;第2组:95%CI:0.034 - 0.063,P = 0.004);从发病到溶栓的时间(95%CI:1.004 - 1.067,P = 0.014)、糖尿病(95%CI:0.315 - 0.887,P = 0.016)和溶栓前凝血酶原时间(PT)(95%CI:1.050 - 1.553,P = 0.015)。这些因素被纳入列线图,其受试者工作特征曲线下面积(AUC-ROC)为0.8075882,95%CI(0.664 - 0.962)。
我们确定了IVT后AIS患者的六个独立预后因素,包括NIHSS评分、B型利钠肽、溶栓前PT、年龄、糖尿病以及从发病到溶栓的时间。所开发的列线图显示出强大的预测性能,可能有助于临床医生对接受IVT的AIS患者进行预后评估。