Zhang Yaxin, Wu Fan, Sun Jiawei, Xu Chuchuan, Yang Qingwei, Wang Guangdong
Department of Neurology, Xiamen Humanity Hospital, Fujian Medical University, Xiamen, 361009, Fujian, China.
Department of Neurology, Xiamen University Affiliated Zhongshan Hospital, NO.201-209 HuBin south Road, Xiamen, 361004, Fujian, China.
Sci Rep. 2025 May 4;15(1):15579. doi: 10.1038/s41598-025-00380-0.
Acute ischemic stroke (AIS) remains a major cause of global morbidity and mortality. This study aimed to evaluate the role of albumin corrected anion gap (ACAG) as a prognostic marker for AIS patients. We analyzed data from 1014 AIS patients in the MIMIC-IV database, stratifying patients by ACAG levels. Using Cox proportional hazards models, restricted cubic splines, and Kaplan-Meier survival analysis, we assessed the relationship between ACAG and both 30-day and 365-day mortality. Our results show that elevated ACAG levels are significantly associated with higher mortality rates at both time points. The hazard ratios for 30-day and 365-day mortality were 1.07 (95% CI 1.04-1.11, P < 0.001) and 1.06 (95% CI 1.03-1.09, P < 0.001), respectively. Receiver operating characteristic (ROC) analysis showed that the area under the curve (AUC) of ACAG for predicting 30-day and 365-day mortality was 0.666 and 0.662, respectively. Subgroup analysis revealed significant interactions with gender and sepsis status. A nomogram incorporating ACAG and other key variables achieved AUCs of 0.748 and 0.765 for predicting 30-day and 365-day mortality, respectively. These findings indicate that elevated ACAG is an independent risk factor for both short-term and long-term mortality in AIS patients. Its incorporation into clinical practice may enhance the ability of clinicians to identify high-risk patients early, enabling timely and targeted interventions.
急性缺血性卒中(AIS)仍然是全球发病和死亡的主要原因。本研究旨在评估白蛋白校正阴离子间隙(ACAG)作为AIS患者预后标志物的作用。我们分析了MIMIC-IV数据库中1014例AIS患者的数据,根据ACAG水平对患者进行分层。使用Cox比例风险模型、限制性立方样条和Kaplan-Meier生存分析,我们评估了ACAG与30天和365天死亡率之间的关系。我们的结果表明,ACAG水平升高与两个时间点的较高死亡率显著相关。30天和365天死亡率的风险比分别为1.07(95%CI 1.04-1.11,P < 0.001)和1.06(95%CI 1.03-1.09,P < 0.001)。受试者工作特征(ROC)分析表明,ACAG预测30天和365天死亡率的曲线下面积(AUC)分别为0.666和0.662。亚组分析显示与性别和脓毒症状态存在显著交互作用。纳入ACAG和其他关键变量的列线图预测30天和365天死亡率的AUC分别为0.748和0.765。这些发现表明,ACAG升高是AIS患者短期和长期死亡的独立危险因素。将其纳入临床实践可能会提高临床医生早期识别高危患者的能力,从而实现及时和有针对性的干预。