TY - JOUR
T1 - Predicting symptomatic intracranial hemorrhage after endovascular treatment of vertebrobasilar artery occlusion: PEACE score
AU - Xu, Yingjie
AU - Alexandre, Andrea Maria
AU - Pedicelli, Alessandro
AU - Huang, Xianjun
AU - Wei, Mingtong
AU - Zhang, Pan
AU - Hu, Miaomiao
AU - Chen, Xin
AU - Guo, Zhiliang
AU - Zhu, Juehua
AU - Chen, Hao
AU - Ni, Chuyuan
AU - Fan, Ligen
AU - Wang, Ruyue
AU - Wang, Qizhang
AU - Wen, Jianshang
AU - Yang, Yongliang
AU - Chu, Wuwei
AU - Dai, Zheng
AU - Tan, Shidong
AU - Broccolini, Aldobrando
AU - Camilli, Arianna
AU - Abruzzese, Serena
AU - Cirelli, Carlo
AU - Bergui, Mauro
AU - Romi, Dott Andrea
AU - Scarcia, Luca
AU - Kalsoum, Erwah
AU - Frauenfelder, Giulia
AU - Meder, Grzegorz
AU - Scalise, Simona
AU - Ganimede, Maria P
AU - Bellini, Luigi
AU - Sette, Bruno Del
AU - Arba, Francesco
AU - Sammali, Susanna
AU - Salcuni, Andrea
AU - Vinci, Sergio L
AU - Cester, Giacomo
AU - Roveri, Luisa
AU - Wang, Lei
AU - Duan, Zuowei
AU - Zhang, Shuai
AU - Xu, Guoqiang
AU - Li, Shizhan
AU - Liang, Yong
AU - Wu, Zongyi
AU - Qin, Shengfei
AU - Luo, Guanglin
AU - Huang, Zhixin
AU - Xiao, Lulu
AU - Sun, Wen
PY - 2025
Y1 - 2025
N2 - Background Current clinical decision tools for assessing the risk of symptomatic intracranial hemorrhage (sICH) in patients with vertebrobasilar artery occlusion (VBAO) who received endovascular treatment (EVT) have limited performance. This study develops and validates a clinical risk score to precisely estimate the risk of sICH in VBAO patients. Methods The derivation cohort recruited patients with VBAO who received EVT from the Posterior Circulation IschemIc Stroke Registry in China. Based on the posterior circulation-Alberta Stroke Program Early CT Score (pc-ASPECTS) evaluation method, the cohort was further divided into non-contrast CT (NCCT) and diffusion weighted imaging (DWI) cohorts to construct predictive models. sICH was diagnosed according to the Heidelberg Bleeding Classification within 48 hours of EVT. Clinical signature was constructed in the derivation cohort using machine learning and was validated in two additional cohorts from Asia and Europe. Results We enrolled 1843 patients who underwent EVT and had complete data. pc-ASPECTS of 1710 patients was evaluated on NCCT and 699 patients on DWI. In the NCCT cohort, 1364 individuals made up the training set, of whom 101 (7.4%) developed sICH. In the DWI cohort, the training set consisted of 560 individuals, with 44 (7.9%) experiencing sICH. Predictors of sICH were: glucose, pc-ASPECTS, time from estimated occlusion to groin puncture (EOT), poor collateral circulation, and modified Thrombolysis in Cerebral Infarction (mTICI) score. From these predictors, we derived the weighted poor collateral circulation-EOT-pc-ASPECTS-mTICI-glucose (PEACE) score. The PEACE score showed good discrimination in the training set (area under the curve (AUC)NCCT=0.85; AUCDWI=0.86), internal validation set (AUCNCCT=0.81; AUCDWI=0.82), and two additional external validation set (Asia: AUCNCCT=0.78, AUCDWI=0.80; Europe: AUCNCCT=0.74, AUCDWI=0.78). Conclusion The PEACE score reliably predicted the risk of sICH in VBAO patients who underwent EVT.
AB - Background Current clinical decision tools for assessing the risk of symptomatic intracranial hemorrhage (sICH) in patients with vertebrobasilar artery occlusion (VBAO) who received endovascular treatment (EVT) have limited performance. This study develops and validates a clinical risk score to precisely estimate the risk of sICH in VBAO patients. Methods The derivation cohort recruited patients with VBAO who received EVT from the Posterior Circulation IschemIc Stroke Registry in China. Based on the posterior circulation-Alberta Stroke Program Early CT Score (pc-ASPECTS) evaluation method, the cohort was further divided into non-contrast CT (NCCT) and diffusion weighted imaging (DWI) cohorts to construct predictive models. sICH was diagnosed according to the Heidelberg Bleeding Classification within 48 hours of EVT. Clinical signature was constructed in the derivation cohort using machine learning and was validated in two additional cohorts from Asia and Europe. Results We enrolled 1843 patients who underwent EVT and had complete data. pc-ASPECTS of 1710 patients was evaluated on NCCT and 699 patients on DWI. In the NCCT cohort, 1364 individuals made up the training set, of whom 101 (7.4%) developed sICH. In the DWI cohort, the training set consisted of 560 individuals, with 44 (7.9%) experiencing sICH. Predictors of sICH were: glucose, pc-ASPECTS, time from estimated occlusion to groin puncture (EOT), poor collateral circulation, and modified Thrombolysis in Cerebral Infarction (mTICI) score. From these predictors, we derived the weighted poor collateral circulation-EOT-pc-ASPECTS-mTICI-glucose (PEACE) score. The PEACE score showed good discrimination in the training set (area under the curve (AUC)NCCT=0.85; AUCDWI=0.86), internal validation set (AUCNCCT=0.81; AUCDWI=0.82), and two additional external validation set (Asia: AUCNCCT=0.78, AUCDWI=0.80; Europe: AUCNCCT=0.74, AUCDWI=0.78). Conclusion The PEACE score reliably predicted the risk of sICH in VBAO patients who underwent EVT.
KW - Stroke
KW - Thrombolysis
KW - Stroke
KW - Thrombolysis
UR - https://publicatt.unicatt.it/handle/10807/307899
UR - https://www.scopus.com/inward/citedby.uri?partnerID=HzOxMe3b&scp=85217489858&origin=inward
UR - https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85217489858&origin=inward
U2 - 10.1136/jnis-2024-022802
DO - 10.1136/jnis-2024-022802
M3 - Article
SN - 1759-8478
SP - N/A-N/A
JO - Journal of NeuroInterventional Surgery
JF - Journal of NeuroInterventional Surgery
IS - N/A
ER -