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13 results on '"Brivio, Matteo"'

1. The Role of Cell Cycle Arrest Biomarkers for Predicting Acute Kidney Injury in Critically Ill COVID-19 Patients: A Multicenter, Observational Study

Author

Weiss, Raphael, von Groote, Thilo, Ostermann, Marlies, Lumlertgul, Nuttha, Weerapolchai, Kittisak, Garcia, Manuel Ignacio Monge, Cano, Jose Maria Martin, del Corral, Beatriz Diez, Broch-Porcar, María Jesús, Perez Carrasco, Marcos, De la Vega Sanchez, Arsenio, Sousa, Eduardo, Catarino, Ana, Roig, Antonio Jorge Betbesé, Martinez de Irujo, Jaume Baldira, de Rosa, Silvia, de la Peña, Manuel Garcia-Montesinos, Tomasa, Teresa, Brivio, Matteo, De Molina, Francisco Javier Gonzalez, Gerss, Joachim, Kellum, John A., Wempe, Carola, Leidereiter, Anna, Meersch, Melanie, and Zarbock, Alexander

Published
2023
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2. Dynamic CRRT Prescription for Complicated Critically Ill Patient: A Case Report.

Author

Santorsola, Clemente, Corona, Alberto, Cecchi, Matteo, Nicolini, Niccolò Castellani, Zendra, Elena, Capone, Alice, Gatti, Ivan, Brivio, Matteo, Falsini, Silvia, Villa, Gianluca, and Waxman, Kenneth S.

Subjects
RENAL replacement therapy, ACUTE kidney failure, INTENSIVE care units, KIDNEY failure, CRITICALLY ill
Abstract

Continuous renal replacement therapies (CRRTs) and sequential extracorporeal blood purification (EBP) therapies can be used in patients with severe COVID‐19 disease to support kidney failure and restore immune homeostasis. EBP prescription should be based on the patient's clinical needs and frequently re‐evaluated during the intensive care unit (ICU) stay. Personalization of treatment at the bedside plays a fundamental role for patient recovery. This aim can be simplified by using both clinical and molecular data collected from a patient‐individualized web registry. In this case report, we describe how we apply a sequential approach to EBP therapies following the rapid evolution of a critically ill COVID‐19 patient with acute kidney injury. We show patient strategies and outcomes using bedside data from a registry‐based method for the routine use of EBP. We explain the choice of specific hemofilter prescription, also focusing on dose and anticoagulation strategies. We describe the difficulties, uncertainties, and mistakes made during EBP prescription. Furthermore, we discuss the causes and workable solutions that can be adopted by the ICU physician for a better EBP prescription, considering the current lack of well‐recognized indications. Trial Registration: ClinicalTrials.gov identifier: NCT03807414 [ABSTRACT FROM AUTHOR]

Published
2024
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3. The Effect of Positive Pressure Ventilation on Acute Kidney Injury in COVID-19 Patients with Acute Respiratory Distress Syndrome: An Observational Study.

Author

Zacchetti, Lucia, Brivio, Matteo, Mezzapesa, Mario, Martinelli, Alessandra, Punzi, Veronica, Monti, Martina, Marchesi, Federica, Scarpa, Laura, Zangari, Rosalia, Longhi, Luca, Raimondi, Federico, Novelli, Luca, Gritti, Paolo, Grazioli, Lorenzo, Villa, Gianluca, and Lorini, Luca Ferdinando

Subjects
*ADULT respiratory distress syndrome, *POSITIVE pressure ventilation, *ACUTE kidney failure, *COVID-19, *WATER-electrolyte balance (Physiology)
Abstract

Introduction: Acute kidney injury (AKI) is frequent in critically ill COVID-19 patients and is associated with a higher mortality risk. By increasing intrathoracic pressure, positive pressure ventilation (PPV) may reduce renal perfusion pressure by reducing venous return to the heart or by increasing renal venous congestion. This study's aim was to evaluate the association between AKI and haemodynamic and ventilatory parameters in COVID-19 patients with ARDS. Methods: This is a single-centre retrospective observational study. Consecutive patients diagnosed with COVID-19 who met ARDS criteria and required invasive mechanical ventilation were enrolled. The relationship between respiratory and haemodynamic parameters influenced by PPV and AKI development was evaluated. AKI was defined according to KDIGO criteria. AKI recovery was evaluated a month after ICU admission and patients were classified as "recovered," if serum creatinine (sCr) value returned to baseline, or as having "acute kidney disease" (AKD), if criteria for AKI stage 1 or greater persisted. The 6-month all-cause mortality was collected. Results: A total of 144 patients were included in the analysis. AKI occurred in 69 (48%) patients and 26 (18%) required renal replacement therapy. In a multivariate logistic regression analysis, sex, hypertension, cumulative dose of furosemide, fluid balance, and plateau pressure were independently associated with AKI. Mortality at 6 months was 50% in the AKI group and 32% in the non-AKI group (p = 0.03). Among 36 patients who developed AKI and were discharged alive from the hospital, 56% had a full renal recovery after a month, while 14%, 6%, and 14% were classified as having an AKD of stage 0, 2, and 3, respectively. Conclusions: In our cohort, AKI was independently associated with multiple variables, including high plateau pressure, suggesting a possible role of PPV on AKI development. Further studies are needed to clarify the role of mechanical ventilation on renal function. [ABSTRACT FROM AUTHOR]

Published
2024
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6. Combined Effect of Awake Prone Position and Noninvasive Ventilation on Respiratory Effort and Gas Exchange in Severe COVID-19–Related Pneumonia

Author

Bianchi, Isabella M, primary, Zacchetti, Lucia, additional, Punzi, Veronica, additional, Raimondi, Federico, additional, Novelli, Luca, additional, Brivio, Matteo, additional, Grazioli, Lorenzo S, additional, Mojoli, Francesco, additional, Di Marco, Fabiano, additional, and Lorini, Luca F, additional

Published
2023
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8. Extent and Distribution of Parenchymal Abnormalities in Baseline CT-Scans Do Not Predict Awake Prone Positioning Response in COVID-19 Related ARDS

Author

Raimondi, Federico, primary, Cazzaniga, Sara, additional, Annibali, Simona, additional, Novelli, Luca, additional, Brivio, Matteo, additional, Pappacena, Simone, additional, Malandrino, Luca, additional, Bonaffini, Pietro Andrea, additional, Bianco, Ilaria, additional, Liggeri, Noemi, additional, Gritti, Paolo, additional, Lorini, Ferdinando Luca, additional, Sironi, Sandro, additional, and Di Marco, Fabiano, additional

Published
2022
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9. EVALITA Evaluation of NLP and Speech Tools for Italian - December 17th, 2020

Author

Agerri, Rodrigo, Aliprandi, Carlo, Alkhalifa, Rabab, Alzetta, Chiara, Angel, Jason, Anselmi, Guido, Appiah Balaji, Nitin Nikamanth, Aroyehun, Segun Taofeek, Artigas Herold, Maria Fernanda, Attanasio, Giuseppe, Attardi, Giuseppe, Badryzlova, Yulia, Bai, Yang, Baldissin, Gioia, Ballarè, Silvia, Barrón-Cedeño, Alberto, Bartle, Anna-Sophie, Basile, Pierpaolo, Basile, Valerio, Basili, Roberto, Belotti, Federico, Bennici, Mauro, Bharathi, B., Bhuvana, J., Bianchi, Federico, Bisconti, Elia, Bolanos, Luis, Bondielli, Alessandro, Bosco, Cristina, Breazzano, Claudia, Brivio, Matteo, Brunato, Dominique, Cafagna, Michele, Caputo, Annalina, Caselli, Tommaso, Cassotti, Pierluigi, Castañeda, Enrique, Castro Castro, Daniel, Centeno, Roberto, Cercel, Dumitru-Clementin, Cerruti, Massimo, Chandrabose, Aravindan, Chesi, Cristiano, Chiarello, Filippo, Cignarella, Alessandra Teresa, Cimino, Andrea, Comandini, Gloria, Croce, Danilo, Dai, Hongbing, Dascalu, Mihai, Dell’Orletta, Felice, Delmonte, Rodolfo, Deng, Tao, De Francesco, Nazareno, De Martino, Graziella, De Mattei, Lorenzo, Di Buccio, Emanuele, Di Maro, Maria, di Nuovo, Elisa, Di Rosa, Emanuele, dos S.R. da Silva, Adriano, Durante, Alberto, El Abassi, Samer, Espinosa, María S., Fabrizi, Samuel, Fantoni, Gualtiero, Ferilli, Stefano, Ferraccioli, Federico, Fersini, Elisabetta, Finos, Livio, Fiorucci, Stefano, Fontana, Michele, Frenda, Simona, Gambino, Giuseppe, Gatt, Albert, Gelbukh, Alexander, Giorgi, Giulia, Giorgioni, Simone, Girardi, Paolo, Goria, Eugenio, Gregori, Lorenzo, Hoffmann, Julia, Iacono, Maria, Iovine, Andrea, Izzi, Giovanni Luca, Jimenez, Sergio, Kaiser, Jens, Kayalvizhi, S., Kivlichan, Ian, Klaus, Svea, Koceva, Frosina, Kovács, György, Kruschwitz, Udo, Labadie Tamayo, Roberto, Lai, Mirko, Laicher, Severin, Lapesa, Gabriella, Lavergne, Eric, Lebani, Gianluca E., Lees, Alyssa, Lenci, Alessandro, Leonardelli, Elisa, Li, Hongling, Liakata, Maria, Lovetere, Marco, Madonna, Domenico, Massidda, Riccardo, Mattei, Lorenzo De, Mauri, Caterina, Mele, Francesco, Melucci, Massimo, Menini, Stefano, Miaschi, Alessio, Miliani, Martina, Moggio, Alessio, Montagnani, Matteo, Montefinese, Maria, Montemagni, Simonetta, Monti, Johanna, Moraca, Maurizio, Moretti, Giovanni, Morra, Simone, Murphy, Killian, Muti, Arianna, Nakov, Preslav, Nisioi, Sergiu, Nissim, Malvina, Nozza, Debora, Occhipinti, Daniela, Ortega Bueno, Reynier, Ou, Xiaozhi, Palmonari, Matteo, Parizzi, Andrea, Pascucci, Antonio, Passaro, Lucia C., Pastor, Eliana, Patti, Viviana, Pirrone, Roberto, Polignano, Marco, Politi, Marcello, Pont, Mattia Da, Pražák, Ondřej, Přibáň, Pavel, Proisl, Thomas, Puccetti, Giovanni, Radicioni, Daniele P., Rama, Ilir, Rambelli, Giulia, Ravelli, Andrea Amelio, Rodrigo, Alvaro, Rodriguez-Diaz, Carlos A., Rodriguez Cisnero, Mariano Jason, Roman, Norton T., Roman, Norton Trevisan, Rossmann, Daniela, Rosso, Paolo, Rotaru, Armand Stefan, Rubino, Edoardo, Russo, Irene, Sabella, Gianluca, Saini, Rajkumar, Salman, Samir, Sangati, Federico, Sanguinetti, Manuela, Sarti, Gabriele, Schlechtweg, Dominik, Schulte im Walde, Sabine, Sciandra, Andrea, Setpal, Jinen, Siciliani, Lucia, Solari, Dario, Sorensen, Jeffrey, Sorgente, Antonio, Sprugnoli, Rachele, Stranisci, Marco, Tamburini, Fabio, Taylor, Stephen, Tesei, Andrea, Thenmozhi, D., Tonelli, Sara, Torre, Ilaria, Tsakalidis, Adam, Varvara, Rossella, Venturi, Giulia, Vettigli, Giuseppe, Vlad, George-Alexandru, Wang, Benyou, Zaharia, George-Eduard, Zamparelli, Roberto, Zubiaga, Arkaitz, Basile, Valerio, Croce, Danilo, Maro, Maria, and Passaro, Lucia C.

Subjects
Language & Linguistics, Automatic Misogyny Identification, AlBERTo, BERT Model, Language Game ``La Ghigliottina'', MEME management, EVALITA, Convolutional Neural Network, LAN000000, Hate Speech Detection, CBX, linguistica computazionale, Misogyny on Twitter Posts, COVID-19 Infodemic, Multimodal Meme Detection
Abstract

Welcome to EVALITA 2020! EVALITA is the evaluation campaign of Natural Language Processing and Speech Tools for Italian. EVALITA is an initiative of the Italian Association for Computational Linguistics (AILC, http://www.ai-lc.it) and it is endorsed by the Italian Association for Artificial Intelligence (AIxIA, http://www.aixia.it) and the Italian Association for Speech Sciences (AISV, http://www.aisv.it).

Published
2021

10. matteo-brv @ DaDoEval: An SVM-based Approach for Automatic Document Dating

Author

Brivio, Matteo

Subjects
Language & Linguistics, Automatic Misogyny Identification, AlBERTo, BERT Model, Language Game ``La Ghigliottina'', MEME management, EVALITA, Convolutional Neural Network, LAN000000, Hate Speech Detection, CBX, linguistica computazionale, Misogyny on Twitter Posts, COVID-19 Infodemic, Multimodal Meme Detection
Abstract

This paper describes our contribution to the EVALITA 2020 shared task DaDoEval – Dating Document Evaluation. The solution we present is based on a linear multi-class Support Vector Machine classifier trained on a combination of character and word n-grams, as well as number of word tokens per document. Despite its simplicity, the system ranked first both in the coarse-grained classification task on same-genre data and in the one on cross-genre data, achieving a macro-average F1 score of 0.934 and 0.413, respectively. The system implementation is available at https://github.com/matteobrv/DaDoEval.

Published
2021

11. Extracorporeal CO2Removal During Renal Replacement Therapy to Allow Lung-Protective Ventilation in Patients With COVID-19–Associated Acute Respiratory Distress Syndrome

Author

Alessandri, Francesco, Tonetti, Tommaso, Pistidda, Laura, Busani, Stefano, Borrazzo, Cristian, Fanelli, Vito, Polzoni, Mauro, Piazza, Ornella, Lorini, Luca, Cattaneo, Sergio, Ricci, Davide, Zanoni, Andrea, Girardis, Massimo, Terragni, Pierpaolo, Tempesta, Michele, Di Luca, Marina, Pugliese, Francesco, Ranieri, V. Marco, Aldegheri, Giorgio, Alessandri, Francesco, Bernd, Claus, Borrazzo, Cristian, Brivio, Matteo, Busani, Stefano, Catorze, Nuno, Cattaneo, Sergio, Corcione, Antonio, Dall’Ara, Lorenzo, Dauri, Mario, Di Luca, Marina, Fanelli, Vito, Fumagalli, Roberto, Gianni, Giulia, Giordano, Giovanni, Girardis, Massimo, Grasso, Salvatore, Grazioli, Lorenzo, Novelli, Martina, Lamas, Tomás, Lorini, Luca, Margola, Alessio, Palumbo, Roberto, Piazza, Ornella, Piazzolla, Mario, Pistidda, Laura, Pistolesi, Valentina, Polzoni, Mauro, Possick, Valeria, Pugliese, Francesco, Ribeiro, Inês, Ricci, Davide, Ranieri, V. Marco, Oliveira, Filipa, Storti, Enrico, Salaris, Davide, Terragni, Pierpaolo, Tonetti, Tommaso, Winding, Robert Ravholt, Tempesta, Michele, Urbino, Rosario, and Zanoni, Andrea

Abstract

The aim of this retrospective multicenter observational study is to test the feasibility and safety of a combined extracorporeal CO2removal (ECCO2R) plus renal replacement therapy (RRT) system to use an ultraprotective ventilator setting while maintaining (1) an effective support of renal function and (2) values of pH within the physiologic limits in a cohort of coronavirus infectious disease 2019 (COVID-19) patients. Among COVID-19 patients admitted to the intensive care unit of 9 participating hospitals, 27 patients with acute respiratory distress syndrome (ARDS) and acute kidney injury (AKI) requiring invasive mechanical ventilation undergoing ECCO2R-plus-RRT treatment were included in the analysis. The treatment allowed to reduce VTfrom 6.0 ± 0.6 mL/kg at baseline to 4.8 ± 0.8, 4.6 ± 1.0, and 4.3 ± 0.3 mL/kg, driving pressure (ΔP) from 19.8 ± 2.5 cm H2O to 14.8 ± 3.6, 14.38 ± 4.1 and 10.2 ± 1.6 cm H2O after 24 hours, 48 hours, and at discontinuation of ECCO2R-plus-RRT (T3), respectively (p< 0.001). PaCO2and pH remained stable. Plasma creatinine decreased over the study period from 3.30 ± 1.27 to 1.90 ± 1.30 and 1.27 ± 0.90 mg/dL after 24 and 48 hours of treatment, respectively (p< 0.01). No patient-related events associated with the extracorporeal system were reported. These data show that in patients with COVID-19–induced ARDS and AKI, ECCO2R-plus-RRT is effective in allowing ultraprotective ventilator settings while maintaining an effective support of renal function and values of pH within physiologic limits.

Published
2023
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12. Pathological Evidence for SARS-CoV-2 as a Cause of Myocarditis

Author

Kawakami, Rika, primary, Sakamoto, Atsushi, additional, Kawai, Kenji, additional, Gianatti, Andrea, additional, Pellegrini, Dario, additional, Nasr, Ahmed, additional, Kutys, Bob, additional, Guo, Liang, additional, Cornelissen, Anne, additional, Mori, Masayuki, additional, Sato, Yu, additional, Pescetelli, Irene, additional, Brivio, Matteo, additional, Romero, Maria, additional, Guagliumi, Giulio, additional, Virmani, Renu, additional, and Finn, Aloke V., additional

Published
2021
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