TY - JOUR
T1 - IER-SICH Nomogram to Predict Symptomatic Intracerebral Hemorrhage After Thrombectomy for Stroke
AU - the IER Collaborators
AU - Cappellari, Manuel
AU - Mangiafico, Salvatore
AU - Saia, Valentina
AU - Pracucci, Giovanni
AU - Nappini, Sergio
AU - Nencini, Patrizia
AU - Konda, Daniel
AU - Sallustio, Fabrizio
AU - Vallone, Stefano
AU - Zini, Andrea
AU - Bracco, Sandra
AU - Tassi, Rossana
AU - Bergui, Mauro
AU - Cerrato, Paolo
AU - Pitrone, Antonio
AU - Grillo, Francesco
AU - Saletti, Andrea
AU - De Vito, Alessandro
AU - Gasparotti, Roberto
AU - Magoni, Mauro
AU - Puglielli, Edoardo
AU - Casalena, Alfonsina
AU - Causin, Francesco
AU - Baracchini, Claudio
AU - Castellan, Lucio
AU - Malfatto, Laura
AU - Menozzi, Roberto
AU - Scoditti, Umberto
AU - Comelli, Chiara
AU - Duc, Enrica
AU - Comai, Alessio
AU - Franchini, Enrica
AU - Cosottini, Mirco
AU - Mancuso, Michelangelo
AU - Peschillo, Simone
AU - De Michele, Manuela
AU - Giorgianni, Andrea
AU - Delodovici, Maria Luisa
AU - Lafe, Elvis
AU - Denaro, Maria Federica
AU - Burdi, Nicola
AU - Internò, Saverio
AU - Cavasin, Nicola
AU - Critelli, Adriana
AU - Chiumarulo, Luigi
AU - Petruzzellis, Marco
AU - Doddi, Marco
AU - Carolei, Antonio
AU - Auteri, William
AU - Petrone, Alfredo
N1 - Publisher Copyright:
© 2019 American Heart Association, Inc.
PY - 2019/4/1
Y1 - 2019/4/1
N2 - Background and Purpose - As a reliable scoring system to detect the risk of symptomatic intracerebral hemorrhage after thrombectomy for ischemic stroke is not yet available, we developed a nomogram for predicting symptomatic intracerebral hemorrhage in patients with large vessel occlusion in the anterior circulation who received bridging of thrombectomy with intravenous thrombolysis (training set), and to validate the model by using a cohort of patients treated with direct thrombectomy (test set). Methods - We conducted a cohort study on prospectively collected data from 3714 patients enrolled in the IER (Italian Registry of Endovascular Stroke Treatment in Acute Stroke). Symptomatic intracerebral hemorrhage was defined as any type of intracerebral hemorrhage with increase of ≥4 National Institutes of Health Stroke Scale score points from baseline ≤24 hours or death. Based on multivariate logistic models, the nomogram was generated. We assessed the discriminative performance by using the area under the receiver operating characteristic curve. Results - National Institutes of Health Stroke Scale score, onset-to-end procedure time, age, unsuccessful recanalization, and Careggi collateral score composed the IER-SICH nomogram. After removing Careggi collateral score from the first model, a second model including Alberta Stroke Program Early CT Score was developed. The area under the receiver operating characteristic curve of the IER-SICH nomogram was 0.778 in the training set (n=492) and 0.709 in the test set (n=399). The area under the receiver operating characteristic curve of the second model was 0.733 in the training set (n=988) and 0.685 in the test set (n=779). Conclusions - The IER-SICH nomogram is the first model developed and validated for predicting symptomatic intracerebral hemorrhage after thrombectomy. It may provide indications on early identification of patients for more or less postprocedural intensive management.
AB - Background and Purpose - As a reliable scoring system to detect the risk of symptomatic intracerebral hemorrhage after thrombectomy for ischemic stroke is not yet available, we developed a nomogram for predicting symptomatic intracerebral hemorrhage in patients with large vessel occlusion in the anterior circulation who received bridging of thrombectomy with intravenous thrombolysis (training set), and to validate the model by using a cohort of patients treated with direct thrombectomy (test set). Methods - We conducted a cohort study on prospectively collected data from 3714 patients enrolled in the IER (Italian Registry of Endovascular Stroke Treatment in Acute Stroke). Symptomatic intracerebral hemorrhage was defined as any type of intracerebral hemorrhage with increase of ≥4 National Institutes of Health Stroke Scale score points from baseline ≤24 hours or death. Based on multivariate logistic models, the nomogram was generated. We assessed the discriminative performance by using the area under the receiver operating characteristic curve. Results - National Institutes of Health Stroke Scale score, onset-to-end procedure time, age, unsuccessful recanalization, and Careggi collateral score composed the IER-SICH nomogram. After removing Careggi collateral score from the first model, a second model including Alberta Stroke Program Early CT Score was developed. The area under the receiver operating characteristic curve of the IER-SICH nomogram was 0.778 in the training set (n=492) and 0.709 in the test set (n=399). The area under the receiver operating characteristic curve of the second model was 0.733 in the training set (n=988) and 0.685 in the test set (n=779). Conclusions - The IER-SICH nomogram is the first model developed and validated for predicting symptomatic intracerebral hemorrhage after thrombectomy. It may provide indications on early identification of patients for more or less postprocedural intensive management.
KW - contraindications
KW - logistic models
KW - nomograms
KW - standard of care
KW - thrombectomy
UR - http://www.scopus.com/inward/record.url?scp=85068768320&partnerID=8YFLogxK
U2 - 10.1161/STROKEAHA.118.023316
DO - 10.1161/STROKEAHA.118.023316
M3 - Article
SN - 0039-2499
VL - 50
SP - 909
EP - 916
JO - Stroke
JF - Stroke
IS - 4
ER -