Search

Your search keyword '"Zelent, Gabriele"' showing total 11 results
Start Over Author "Zelent, Gabriele"
11 results on '"Zelent, Gabriele"'

4. Intracranial Stenosis Treated with Stenting in Patients with Suspected Cerebral Vasculitis: Two Case Reports

Author

Vandelli, Gabriele, primary, Giacobazzi, Laura, additional, Ciolli, Ludovico, additional, Dell'Acqua, Maria Luisa, additional, Vandelli, Laura, additional, Picchetto, Livio, additional, Rosafio, Francesca, additional, Borzì, Giuseppe Maria, additional, Ricceri, Riccardo, additional, Meletti, Stefano, additional, Vallone, Stefano, additional, Salvarani, Carlo, additional, Sebastiani, Marco, additional, Sacchetti, Federico, additional, Verganti, Luca, additional, Merolla, Stefano, additional, Zelent, Gabriele, additional, and Bigliardi, Guido, additional

Published
2023
Full Text
View/download PDF

5. Mild to Severe Neurological Manifestations of COVID-19: Cases Reports

Author

Melegari, Gabriele, primary, Rivi, Veronica, additional, Zelent, Gabriele, additional, Nasillo, Vincenzo, additional, De Santis, Elena, additional, Melegari, Alessandra, additional, Bevilacqua, Claudia, additional, Zoli, Michele, additional, Meletti, Stefano, additional, and Barbieri, Alberto, additional

Published
2021
Full Text
View/download PDF

7. 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

8. High serum levels of silica nanoparticles in systemic sclerosis patients with occupational exposure: Possible pathogenetic role in disease phenotypes

Author

Ferri, C, Artoni, E, Sighinolfi, G, Luppi, F, Zelent, G, Colaci, M, Giuggioli, D, Ferri, Clodoveo, Artoni, Erica, Sighinolfi, Gian Luca, Luppi, Fabrizio, Zelent, Gabriele, Colaci, Michele, Giuggioli, Dilia, Ferri, C, Artoni, E, Sighinolfi, G, Luppi, F, Zelent, G, Colaci, M, Giuggioli, D, Ferri, Clodoveo, Artoni, Erica, Sighinolfi, Gian Luca, Luppi, Fabrizio, Zelent, Gabriele, Colaci, Michele, and Giuggioli, Dilia

Abstract

Background: Systemic sclerosis (SSc) is an autoimmune systemic disease characterized by diffuse fibrosis of skin and visceral organs due to different genetic, infectious, and/or environmental/occupational causative factors, including the inhalation of silica dust. Objectives: To investigate serum trace elements including silicon (s-Si) levels in SSc patients living in a restricted geographical area with high density of worksites with silica exposure hazard. Methods: This case-control study included 80 SSc patients (M:F 10:70; aged 58.4 ± 11.9SD years, mean disease duration 10.1 ± 7.8SD) and 50 age-/sex-matched healthy control subjects consecutively investigated at our University-based Rheumatology Unit. Patients and controls were evaluated for environmental/occupational exposure categories (structured questionnaire), morphological characterization of serum micro-/nanoparticles (Environmental Scanning Electron Microscopy and Energy Dispersive X-ray Spectroscopy microanalysis), and quantitative assessment of trace elements (inductively coupled plasma atomic emission spectroscopy). Results: Among various categories, only occupational exposure to silica dust was recorded in a significant proportion of SSc patients compared to controls (55% vs. 11%; p <.0001). Qualitative analysis showed serum silica micro- and nanoparticles in all exposed patients. Quantitative evaluation evidenced significantly higher s-Si levels in SSc patients versus controls (p <.0001); in addition, higher s-Si levels were detected in patients with occupational exposure (p <.0001), diffuse cutaneous SSc (p =.0047), myositis (p =.0304), and/or lung fibrosis (p =.0004) compared to those without; notably, the severity of lung fibrosis scoring positively correlated with s-Si levels (p <.0001). Conclusions: The study first demonstrated high s-Si levels in exposed SSc patients; this element might represent a pathogenetic co-factor of more severe clinical phenotypes, mainly diffuse scleroderma with lung fi

Published
2018

9. Morbidity and Mortality in Patients with Idiopathic Pulmonary Fibrosis Undergoing Diagnostic Surgical Lung Biopsy

Author

Cerri, S, Sghedoni, E, Montanari, G, Taddei, S, Aramini, B, Zelent, G, Rossi, G, Stefani, A, Torricelli, P, Morandi, U, Luppi, F, CERRI, Stefania, SGHEDONI, ENRICO, MONTANARI, GLORIA, TADDEI, SOFIA, Aramini, Beatrice, Zelent, Gabriele, ROSSI, Giulio, STEFANI, Alessandro, TORRICELLI, Pietro, MORANDI, Uliano, LUPPI, Fabrizio, Cerri, S, Sghedoni, E, Montanari, G, Taddei, S, Aramini, B, Zelent, G, Rossi, G, Stefani, A, Torricelli, P, Morandi, U, Luppi, F, CERRI, Stefania, SGHEDONI, ENRICO, MONTANARI, GLORIA, TADDEI, SOFIA, Aramini, Beatrice, Zelent, Gabriele, ROSSI, Giulio, STEFANI, Alessandro, TORRICELLI, Pietro, MORANDI, Uliano, and LUPPI, Fabrizio

Abstract

Previous studies have shown conflicting results about safety of surgical lung biopsy (SLB) in usual interstitial pneumonia (UIP)/idiopathic pulmonary fibrosis (IPF) patients. Study design: we performed a retrospective analysis of all patients who underwent SLB between 2003 and 2013 at the University Hospital of Modena (Italy), to assess morbidity and mortality among patients with UIP/IPF , as compared to patients with other diffuse parenchymal lung diseases (non UIP/IPF). Results: we analyzed 73 patients with (n=29) and without (n=44) UIP/IPF, in which medical history, histology, and survival status were collected. UIP/IPF was diagnosed according to international guidelines. In 59 patients lung biopsy was performed via video-assisted thoracoscopy; in 14 patients thoracotomy was conducted. No intraoperative complications were observed. Postoperative complications were not significantly different between groups and consisted of fever (n=1 in UIP/IPF group; n=4 in non-UIP/IPF group), pneumothorax (n=1 in non-UIP/IPF), pleural effusion (n=1 in non-UIP/IPF), and acute exacerbation (n=1 in both groups, who died). There was no 30-day, 60-day and 90-day mortality. Conclusions: we conclude that surgical lung biopsy can be safely performed in patients with suspected UIP/IPF.

Published
2015

10. Morbidity And Mortality In Patients With Idiopathic Pulmonary Fibrosis Undergoing Diagnostic Surgical Lung Biopsy

Author

Stefania Cerri, Sghedoni, E., Montanari, G., Taddei, S., Beatrice Aramini, Zelent, Gabriele, Rossi, G., Alessandro Stefani, Torricelli, Pietro, Uliano Morandi, Luppi, F., Cerri, S, Sghedoni, E, Montanari, G, Taddei, S, Aramini, B, Zelent, G, Rossi, G, Stefani, A, Torricelli, P, Morandi, U, Luppi, F, Zelent, Gabriele, CERRI, Stefania, SGHEDONI, ENRICO, MONTANARI, GLORIA, TADDEI, SOFIA, Aramini, Beatrice, ROSSI, Giulio, STEFANI, Alessandro, TORRICELLI, Pietro, MORANDI, Uliano, and LUPPI, Fabrizio

Subjects
respiratory system, Morbidity, Mortality, Idiopathic Pulmonary Fibrosis, Surgical Lung Biopsy, humanities, Interstitial Lung Diseases, Surgical Lung Biopsy, respiratory tract diseases
Abstract

Previous studies have shown conflicting results about safety of surgical lung biopsy (SLB) in usual interstitial pneumonia (UIP)/idiopathic pulmonary fibrosis (IPF) patients. Study design: we performed a retrospective analysis of all patients who underwent SLB between 2003 and 2013 at the University Hospital of Modena (Italy), to assess morbidity and mortality among patients with UIP/IPF , as compared to patients with other diffuse parenchymal lung diseases (non UIP/IPF). Results: we analyzed 73 patients with (n=29) and without (n=44) UIP/IPF, in which medical history, histology, and survival status were collected. UIP/IPF was diagnosed according to international guidelines. In 59 patients lung biopsy was performed via video-assisted thoracoscopy; in 14 patients thoracotomy was conducted. No intraoperative complications were observed. Postoperative complications were not significantly different between groups and consisted of fever (n=1 in UIP/IPF group; n=4 in non-UIP/IPF group), pneumothorax (n=1 in non-UIP/IPF), pleural effusion (n=1 in non-UIP/IPF), and acute exacerbation (n=1 in both groups, who died). There was no 30-day, 60-day and 90-day mortality. Conclusions: we conclude that surgical lung biopsy can be safely performed in patients with suspected UIP/IPF.

11. Qualitative versus automatic evaluation of CT perfusion parameters in acute posterior circulation ischaemic stroke

Author

Luca Verganti, Nicola Serra, Ferdinando Caranci, Federico Sacchetti, Guido Bigliardi, Livio Picchetto, Andrea Zini, Stefano Vallone, Gabriele Zelent, Raffaella Capasso, Capasso, Raffaella, Vallone, Stefano, Serra, Nicola, Zelent, Gabriele, Verganti, Luca, Sacchetti, Federico, Bigliardi, Guido, Picchetto, Livio, Caranci, Ferdinando, and Zini, Andrea

Subjects
Automatic, Perfusion scanning, 030218 nuclear medicine & medical imaging, Brain Ischemia, Quantitative perfusion, 03 medical and health sciences, Perfusion map, 0302 clinical medicine, Qualitative analysis, Ischaemic stroke, medicine, Humans, Radiology, Nuclear Medicine and imaging, Symptom onset, Stroke, Neuroradiology, Diagnostic Neuroradiology, Ischemic Stroke, Retrospective Studies, RAPID, business.industry, Reproducibility of Results, Perfusion maps, medicine.disease, Perfusion, Cerebrovascular Circulation, CT perfusion, Neurology (clinical), Posterior ischaemic stroke, Cardiology and Cardiovascular Medicine, Nuclear medicine, business, Tomography, X-Ray Computed, 030217 neurology & neurosurgery
Abstract

Purpose To compare the diagnostic accuracy (ACC) in the detection of acute posterior circulation strokes between qualitative evaluation of software-generated colour maps and automatic assessment of CT perfusion (CTP) parameters. Methods Were retrospectively collected 50 patients suspected of acute posterior circulation stroke who underwent to CTP (GE “Lightspeed”, 64 slices) within 24 h after symptom onset between January 2016 and December 2018. The Posterior circulation-Acute Stroke Prognosis Early CT Score (pc-ASPECTS) was used for quantifying the extent of ischaemic areas on non-contrast (NC)CT and colour-coded maps generated by CTP4 (GE) and RAPID (iSchemia View) software. Final pc-ASPECTS was calculated on follow-up NCCT and/or MRI (Philips Intera 3.0 T or Philips Achieva Ingenia 1.5 T). RAPID software also elaborated automatic quantitative mismatch maps. Results By qualitative evaluation of colour-coded maps, MTT-CTP4D and Tmax-RAPID showed the highest sensitivity (SE) (88.6% and 90.9%, respectively) and ACC (84% and 88%, respectively) compared with the other perfusion parameters (CBV, CBF). Baseline NCCT and CBF provided by RAPID quantitative perfusion mismatch maps had the lowest SE (29.6% and 6.8%, respectively) and ACC (38% and 18%, respectively). CBF and Tmax assessment provided by quantitative RAPID perfusion mismatch maps showed significant lower SE and ACC than qualitative evaluation. No significant differences were found between the pc-ASPECTSs assessed on colour-coded MTT and Tmax maps neither between the scores assessed on colour-coded CBV-CTP4D and CBF-RAPID maps. Conclusion Qualitative analysis of colour-coded maps resulted more sensitive and accurate in the detection of ischaemic changes than automatic quantitative analysis.

Published
2021

Catalog

Books, media, physical & digital resources
See catalog results