Kakaletsis Nikolaos, Kotsis Vasilios, Hosomi Naohisa, Nezu Tomohisa, Michel Patrik, Guillaume Thevoz, Strambo Davide, Kim Young Seo, Sung Wonjae, Vemmos Konstantinos, Korompoki Eleni, Acampa Maurizio, Putaala Jukka, Tulkki Lauri, Hermann Matthias, Rejmer Protazy, Bath Philip M, Woodhouse Lisa J, Protogerou Athanase D, Athanasopoulou Elpida, Milionis Haralampos, Ntaios George, Savopoulos Christos
First Propedeutic Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, AHEPA University Hospital, Thessaloniki, Greece.
Third Department of Internal Medicine, Medical School, Aristotle University of Thessaloniki, Papageorgiou Hospital, Thessaloniki, Greece.
NPJ Aging. 2025 Feb 21;11(1):13. doi: 10.1038/s41514-025-00202-7.
Understanding the impact of early vascular aging (EVA) on acute ischemic stroke (AIS) outcomes may provide new insights for improving prognostic assessments and developing targeted therapeutic strategies. This study aimed to validate the EVA ambulatory score (EVAAs) in AIS patients, assessing its association with stroke type, severity, and prognosis. Among the 2,730 AIS patients with a mean age of 72.0 ± 14.4 years, 83.4% exhibited EVA. EVA was identified as an independent predictor of poor outcome at both discharges (aOR:1.72, 95%CI:1.25-2.36, p < 0.001) and at 90 days (aOR:2.22, 95%CI:1.49-3.31, p < 0.001). In subgroup analyses, EVAAs showed improved predictive value in AIS patients with a lower cardiovascular disease burden and a non-atherogenic lipid profile. The EVAAs, as an indicator of EVA that could be easily integrated into daily clinical practice, are a significant predictor of adverse outcomes in AIS patients.
了解早期血管衰老（EVA）对急性缺血性卒中（AIS）预后的影响，可能为改善预后评估和制定针对性治疗策略提供新的见解。本研究旨在验证AIS患者的EVA动态评分（EVAAs），评估其与卒中类型、严重程度及预后的相关性。在2730例平均年龄为72.0±14.4岁的AIS患者中，83.4%表现出EVA。EVA被确定为出院时（调整后比值比：1.72，95%置信区间：1.25 - 2.36，p < 0.001）和90天时（调整后比值比：2.22，95%置信区间：1.49 - 3.31，p < 0.001）不良预后的独立预测因素。在亚组分析中，EVAAs在心血管疾病负担较低且脂质谱为非动脉粥样硬化性的AIS患者中显示出更好的预测价值。EVAAs作为一种可轻松融入日常临床实践的EVA指标，是AIS患者不良预后的重要预测因素。
