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3 results on '"Mavilio, Nicola"'

2. IER-SICH Nomogram to Predict Symptomatic Intracerebral Hemorrhage After Thrombectomy for Stroke

Author

Cappellari, Manuel, Mangiafico, Salvatore, Saia, Valentina, Pracucci, Giovanni, Nappini, Sergio, Nencini, Patrizia, Konda, Daniel, Sallustio, Fabrizio, Vallone, Stefano, Zini, Andrea, Bracco, Sandra, Tassi, Rossana, Bergui, Mauro, Cerrato, Paolo, Pitrone, Antonio, Grillo, Francesco, Saletti, Andrea, De Vito, Alessandro, Gasparotti, Roberto, Magoni, Mauro, Puglielli, Edoardo, Casalena, Alfonsina, Causin, Francesco, Baracchini, Claudio, Castellan, Lucio, Malfatto, Laura, Menozzi, Roberto, Scoditti, Umberto, Comelli, Chiara, Duc, Enrica, Comai, Alessio, Franchini, Enrica, Cosottini, Mirco, Mancuso, Michelangelo, Peschillo, Simone, De Michele, Manuela, Giorgianni, Andrea, Delodovici, Maria Luisa, Lafe, Elvis, Denaro, Maria Federica, Burdi, Nicola, Internò, Saverio, Cavasin, Nicola, Critelli, Adriana, Chiumarulo, Luigi, Petruzzellis, Marco, Doddi, Marco, Carolei, Antonio, Auteri, William, Petrone, Alfredo, Padolecchia, Riccardo, Tassinari, Tiziana, Pavia, Marco, Invernizzi, Paolo, Turcato, Gianni, Forlivesi, Stefano, Ciceri, Elisa Francesca Maria, Bonetti, Bruno, Inzitari, Domenico, Toni, Danilo, Limbucci, Nicola, Consoli, Arturo, Renieri, Leonardo, Fainardi, Enrico, Gandini, Roberto, Pampana, Enrico, Diomedi, Marina, Koch, Giacomo, Verganti, Luca, Sacchetti, Federico, Zelent, Gabriele, Bigliardi, Guido, Picchetto, Livio, Vandelli, Laura, Romano, Daniele Giuseppe, Cioni, Samuele, Gennari, Paola, Cerase, Alfonso, Martini, Giuseppe, Stura, Guido, Daniele, Dino, Naldi, Andrea, Papa, Rosario, Vinci, Sergio Lucio, Bernava, Gianmarco, Velo, Mariano, Caragliano, Antonio, Tessitore, Agostino, Buonomo, Orazio, Musolino, Rossella, La Spina, Paolino, Casella, Carmela, Carolina Fazio, Maria, Cotroneo, Masina, Onofrio, Marcello, Azzini, Cristiano, Casetta, Ilaria, Mardighian, Dikran, Frigerio, Michele, Costa, Angelo, Di Egidio, Vincenzo, Lattanzi, Ruggero, Assetta, Maurizio, Cester, Giacomo, Mavilio, Nicola, Serrati, Carlo, Piazza, Paolo, Epifani, Enrico, Andreone, Andrea, Castellini, Paola, Latte, Lilia, Grisendi, Ilaria, Vaudano, Giacomo, Comelli, Simone, Cavallo, Roberto, Chianale, Gigliola, Simonetti, Luigi, Taglialatela, Francesco, Isceri, Salvatore, Procaccianti, Gaetano, Zaniboni, Anna, Borghi, Annamaria, Bonatti, Giampietro, Ferro, Federica, Bonatti, Matteo, Dall’Ora, Elisa, Currò Dossi, Roberto, Turri, Emanuela, Turri, Mara, Puglioli, Michele, Lazzarotti, Guido, Lauretti, DARIO LUCA, Giannini, Nicola, Maccarone, Miriam, Orlandi, Giovanni, Chiti, Alberto, Guidetti, Giulio, Biraschi, Francesco, Falcou, Anne, Anzini, Alexia, Mancini, Alessandra, Fausti, Silvia, Di Mascio, Maria Teresa, Durastanti, Laura, Sbardella, Emilia, Mellina, Vittorio, Baruzzi, Fabio, Pellegrino, Carlo, Terrana, Alberto, Carimati, Federico, Ruggiero, Maria, Sanna, Antioco, Passarin, Maria Grazia, Colosimo, Cesare, Pedicelli, Alessandro, D’Argento, Francesco, Alexandre, Andrea, Frisullo, Giovanni, Zappoli, Federico, Martignoni, Alessandra, Cavallini, Anna, Persico, Alessandra, Valvassori, Luca, Piano, Mariangela, Agostoni, Elio, Motto, Cristina, Gatti, Antonella, Longoni, Marco, Guccione, Angelo, Tortorella, Rachele, Zampieri, Piergiuseppe, Zimatore, Domenico Sergio, Grazioli, Andrea, Ricciardi, Giuseppe Kenneth, Augelli, Raffaele, Bovi, Paolo, Tomelleri, Giampaolo, Micheletti, Nicola, Semeraro, Vittorio, Lucarelli, Nicola, Ganimede, Maria, Tinelli, Angelica, Pia Prontera, Maria, Pesare, Angela, Cagliari, Enrico, Quatrale, Rocco, Federico, Francesco, Passalacqua, Giovanni, Filauri, Pietro, Orlandi, Berardino, De Santis, Federica, Gabriele, Amleto, Tiseo, Cindy, Armentano, Antonio, Di Benedetto, Olindo, Silvagni, Umberto, Perrotta, Paolo, Crispino, Emanuela, Stancati, Furio, Rizzuto, Stefano, Pugliese, Pierfrancesco, Pisani, Ermanno, Siniscalchi, Antonio, Gaudiano, Carmen, Pirritano, Domenico, Del Giudice, Francesco, Calia, Stefano, Ganci, Giuseppe, Sugo, Annalisa, Scomazzoni, Francesco, Simionato, Franco, Roveri, Luisa, De Nicola, Maurizio, Giannoni, Mirko, Bruni, Stefano, Gambelli, Elena, Provinciali, Leandro, Carriero, Alessandro, Coppo, Lorenzo, Baldan, Julika, Paolo Nuzzi, Nunzio, Marcheselli, Simona, Corato, Manuel, Cotroneo, Enrico, Ricciardi, Fabrizio, Gigli, Renato, Pozzessere, Claudio, Pezzella, Francesca Romana, Corsi, Fabio, Squassina, Guido, Cobelli, Milena, Morassi, Mauro, Magni, Eugenio, Pepe, Fulvio, Bigni, Barbara, Costa, Paolo, Crabbio, Massimo, Griffini, Simona, Palmerini, Francesco, Piras, Maria Paola, Natrella, Massimiliano, Fanelli, Gianluca, Cristoferi, Massimo, Bottacchi, Edo, Corso, Giovanni, Tosi, Piera, Amistà, Pietro, Russo, Monia, Tettoni, Serena, Gallesio, Ivan, Mascolo, Maria Carmela, Meloni, Giovanni Battista, Fabio, Claudio, Maiore, Mario, Pintus, Francesco, Pischedda, Aldo, Manca, Antonio, Mongili, Claudia, Zanda, Bastianina, Sanna, Antonella, Baule, Antonio, Pappalardo, Maria Pia, Craparo, Giuseppe, Gallo, Cristina, Monaco, Serena, Mannino, Marina, Terruso, Valeria, Muto, Mario, Guarnieri, Gianluigi, Andreone, Vincenzo, Dui, Giovanni, Ticca, Anna, Salmaggi, Andrea, Iannucci, Giuseppe, Pinna, Vittore, Di Clemente, Loris, Perini, Francesco, De Boni, Antonella, De Luca, Cristina, De Giorgi, Franco, Corraine, Simona, Enne, Paolo, Ganau, Claudio, and Piras, Valeria

Subjects
Male, medicine.medical_specialty, Fibrinolytic Agents/therapeutic use Humans Male Middle Aged *Nomograms Postoperative Complications/etiology Risk Assessment Risk Factors Stroke/complications/drug therapy/*surgery Thrombectomy/*adverse effects Thrombolytic Therapy/adverse effects, medicine.medical_treatment, contraindications, Risk Assessment, NO, Brain Ischemia, Brain ischemia, Postoperative Complications, Fibrinolytic Agents, Risk Factors, contraindications ◼ logistic models ◼ nomograms ◼ standard of care ◼ thrombectomy, medicine, 80 and over, Humans, Thrombolytic Therapy, Stroke, contraindications, logistic models, nomograms, standard of care, thrombectomy, Aged, Cerebral Hemorrhage, Aged, 80 and over, Advanced and Specialized Nursing, Intracerebral hemorrhage, Receiver operating characteristic, business.industry, Thrombolysis, Nomogram, Middle Aged, medicine.disease, logistic models, nomograms, standard of care, thrombectomy, Female, Thrombectomy, Tissue Plasminogen Activator, Nomograms, Settore MED/26 - NEUROLOGIA, Neurology (clinical), Radiology, Cardiology and Cardiovascular Medicine, business, Fibrinolytic agent, Cohort study
Abstract

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.

Published
2019

3. Complications of mechanical thrombectomy for acute ischemic stroke: Incidence, risk factors, and clinical relevance in the Italian Registry of Endovascular Treatment in acute stroke.

Author

Salsano, Giancarlo, Pracucci, Giovanni, Mavilio, Nicola, Saia, Valentina, Bandettini di Poggio, Monica, Malfatto, Laura, Sallustio, Fabrizio, Wlderk, Andrea, Limbucci, Nicola, Nencini, Patrizia, Vallone, Stefano, Zini, Andrea, Bigliardi, Guido, Velo, Mariano, Francalanza, Isabella, Gennari, Paola, Tassi, Rossana, Bergui, Mauro, Cerrato, Paolo, and Carità, Giuseppe

Subjects
ISCHEMIC stroke, ENDOVASCULAR surgery, STROKE, THROMBECTOMY, CEREBRAL hemorrhage, CAROTID endarterectomy, TREATMENT effectiveness, CAROTID intima-media thickness
Abstract

Background: There are limited data concerning procedure-related complications of endovascular thrombectomy for large vessel occlusion strokes. Aims: We evaluated the cumulative incidence, the clinical relevance in terms of increased disability and mortality, and risk factors for complications. Methods: From January 2011 to December 2017, 4799 patients were enrolled by 36 centers in the Italian Registry of Endovascular Stroke Treatment. Data on demographic and procedural characteristics, complications, and clinical outcome at three months were prospectively collected. Results: The complications cumulative incidence was 201 per 1000 patients undergoing endovascular thrombectomy. Ongoing antiplatelet therapy (p < 0.01; OR 1.82, 95% CI: 1.21–2.73) and large vessel occlusion site (carotid-T, p < 0.03; OR 3.05, 95% CI: 1.13–8.19; M2-segment-MCA, p < 0.01; OR 4.54, 95% CI: 1.66–12.44) were associated with a higher risk of subarachnoid hemorrhage/arterial perforation. Thrombectomy alone (p < 0.01; OR 0.50, 95% CI: 0.31–0.83) and younger age (p < 0.04; OR 0.98, 95% CI: 0.97–0.99) revealed a lower risk of developing dissection. M2-segment-MCA occlusion (p < 0.01; OR 0.35, 95% CI: 0.19–0.64) and hypertension (p < 0.04; OR 0.77, 95% CI: 0.6–0.98) were less related to clot embolization. Higher NIHSS at onset (p < 0.01; OR 1.04, 95% CI: 1.02–1.06), longer groin-to-reperfusion time (p < 0.01; OR 1.05, 95% CI: 1.02–1.07), diabetes (p < 0.01; OR 1.67, 95% CI: 1.25–2.23), and LVO site (carotid-T, p < 0.01; OR 1.96, 95% CI: 1.26–3.05; M2-segment-MCA, p < 0.02; OR 1.62, 95% CI: 1.08–2.42) were associated with a higher risk of developing symptomatic intracerebral hemorrhage compared to no/asymptomatic intracerebral hemorrhage. The subgroup of patients treated with thrombectomy alone presented a lower risk of symptomatic intracerebral hemorrhage (p < 0.01; OR 0.70; 95% CI: 0.55–0.90). Subarachnoid hemorrhage/arterial perforation and symptomatic intracerebral hemorrhage after endovascular thrombectomy worsen both functional independence and mortality at three-month follow-up (p < 0.01). Distal embolization is associated with neurological deterioration (p < 0.01), while arterial dissection did not affect clinical outcome at follow-up. Conclusions: Complications globally considered are not uncommon and may result in poor clinical outcome. Early recognition of risk factors might help to prevent complications and manage them appropriately in order to maximize endovascular thrombectomy benefits. [ABSTRACT FROM AUTHOR]

Published
2021
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