Qian Mingyue, Wang Wei, Chen Shuaiyu, E Yan, Wei Bin, Liu Lulu, Chen Jiayu, Wu Hao
Department of Neurology, Affiliated Huishan Hospital of Xinglin College, Nantong University, Wuxi Huishan District People's Hospital, No.2 Zhanqian North Road, Wuxi, 214000, Jiangsu Province, China.
Department of Neurology, Nanjing First Hospital, Nanjing Medical University, Nanjing, 210000, Jiangsu, China.
Neurol Sci. 2025 May 29. doi: 10.1007/s10072-025-08261-0.
Accelerated aging is recognized as a risk factor for various chronic diseases and mortality. This study aimed to utilize phenotypic age to evaluate the role of biological age in clinical outcomes in ischemic stroke patients after endovascular thrombectomy (EVT).
We retrospectively enrolled patients from the prospectively maintained stroke registry admitted at 2 stroke centers in China. We employed the widely recognized PhenoAge algorithms to calculate accelerated biological age. Poor outcome was defined by a modified Rankin Scale score > 2 at 90 days post-treatment. Multivariable logistic regression models were utilized to evaluate the independent impact of phenotypic age on poor outcome. The association pattern between phenotypic age and poor outcome were analyzed using restricted cubic splines.
A total of 745 patients were included with 61.5% male, a mean age of 70.1 ± 12.2 years, and a mean phenotypic age of 78.5 ± 15.1 years. In the multivariable logistic regression analysis, phenotypic age was significantly associated with 90-day poor outcome after EVT (per 1-year increase: odds ratio [OR], 1.067; 95% confidence interval [CI], 1.042-1.092; P < 0.001; fourth vs first quartile: OR, 8.295; 95% CI, 3.742-18.394; P < 0.001). Additionally, the multiple-adjusted spline regression model further confirmed the dose-response association between phenotypic age and poor outcome (P = 0.527 for nonlinearity; P = 0.001 for linearity).
This study demonstrated that phenotypic age was associated with poor outcomes in large vessel occlusive stroke patients treated with EVT. Further research is required to validate our findings in different populations.
加速衰老被认为是多种慢性疾病和死亡的危险因素。本研究旨在利用表型年龄评估生物年龄在血管内血栓切除术（EVT）后缺血性中风患者临床结局中的作用。
我们回顾性纳入了来自中国2个中风中心前瞻性维护的中风登记处的患者。我们采用广泛认可的PhenoAge算法来计算加速生物年龄。治疗后90天时改良Rankin量表评分>2定义为预后不良。使用多变量逻辑回归模型评估表型年龄对预后不良的独立影响。使用受限立方样条分析表型年龄与预后不良之间的关联模式。
共纳入745例患者，其中男性占61.5%，平均年龄为70.1±12.2岁，平均表型年龄为78.5±15.1岁。在多变量逻辑回归分析中，表型年龄与EVT后90天预后不良显著相关（每增加1岁：比值比[OR]，1.067；95%置信区间[CI]，1.042-1.092；P<0.001；第四四分位数与第一四分位数相比：OR，8.295；95%CI，3.742-18.394；P<0.001）。此外，多重调整样条回归模型进一步证实了表型年龄与预后不良之间的剂量反应关联（非线性P=0.527；线性P=0.001）。
本研究表明，表型年龄与接受EVT治疗的大血管闭塞性中风患者的不良结局相关。需要进一步研究以在不同人群中验证我们的发现。
