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115 results on '"Malizia, Giuseppe"'

1. WED-336 RESIST-NASH: a regional network for identification and referral of masld patients at risk for liver fibrosis

Author

Pennisi, Grazia, primary, Buscemi, Silvio, additional, Bertino, Gaetano, additional, Frittitta, Lucia, additional, Purrello, Francesco, additional, Raimondo, Giovanni, additional, Cartabellotta, Fabio, additional, Russello, Maurizio, additional, Malizia, Giuseppe, additional, Carroccio, Antonio, additional, Tuttolomondo, Antonino, additional, Camilleri, Salvatore, additional, Magrì, Giovanni, additional, Licata, Anna, additional, Cefalù, Angelo Baldassare, additional, Distefano, Marco, additional, Giordano, Carla, additional, Iaria, Chiara, additional, Scalisi, Ignazio, additional, Tullio, Prestileo, additional, Arpi, Maria Luisa, additional, Marco, Vito Di, additional, Camma, Calogero, additional, and Petta, Salvatore, additional

Published
2024
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2. Intravenous Immunoglobulins Tapering and Withdrawal in Systemic Capillary Leak Syndrome (Clarkson Disease)

Author

Moyon, Quentin, Pineton de Chambrun, Marc, Gousseff, Marie, Mathian, Alexis, Hie, Miguel, Urbanski, Geoffrey, Verlicchi, Franco, Faguer, Stanislas, Dossier, Antoine, Lega, Jean-Christophe, Riviere, Sophie, Saadoun, David, Graveleau, Julie, Lucchini-Lecomte, Marie-Josée, Christides, Christine, Le Moal, Sylvie, Bibes, Béatrice, Malizia, Giuseppe, Ruivard, Marc, Blaison, Gilles, Alric, Laurent, Agard, Christian, Soubrier, Martin, Viallard, Jean-François, Levesque, Hervé, Rivard, Georges-Etienne, Tieulie, Nathalie, Hot, Arnaud, Lovey, Pierre-Yves, Hanslik, Thomas, Lhote, François, Eble, Vincent, Álvarez Troncoso, Jorge, Aujayeb, Avinash, Quentric, Paul, Taieb, Dov, Cohen-Aubart, Fleur, Lambert, Marc, and Amoura, Zahir

Published
2022
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3. Risk for cancer development in familial Mediterranean fever and associated predisposing factors: an ambidirectional cohort study from the international AIDA Network registries

Author

Vitale, Antonio, primary, Caggiano, Valeria, additional, Tufan, Abdurrahman, additional, Ragab, Gaafar, additional, Batu, Ezgi Deniz, additional, Portincasa, Piero, additional, Aragona, Emma, additional, Sota, Jurgen, additional, Conti, Giovanni, additional, De Paulis, Amato, additional, Rigante, Donato, additional, Olivieri, Alma Nunzia, additional, Şahin, Ali, additional, La Torre, Francesco, additional, Lopalco, Giuseppe, additional, Cattalini, Marco, additional, Maggio, Maria Cristina, additional, Insalaco, Antonella, additional, Sfikakis, Petros P., additional, Verrecchia, Elena, additional, Yildirim, Derya, additional, Kucuk, Hamit, additional, Kardas, Riza Can, additional, Laymouna, Ahmed Hatem, additional, Ghanema, Mahmoud, additional, Saad, Moustafa Ali, additional, Sener, Seher, additional, Ercan Emreol, Hulya, additional, Ozen, Seza, additional, Jaber, Nour, additional, Khalil, Mohamad, additional, Di Ciaula, Agostino, additional, Gaggiano, Carla, additional, Malizia, Giuseppe, additional, Affronti, Andrea, additional, Patroniti, Serena, additional, Romeo, Meri, additional, Sbalchiero, Jessica, additional, Della Casa, Francesca, additional, Mormile, Ilaria, additional, Silvaroli, Sara, additional, Gicchino, Maria Francesca, additional, Çelik, Neşe Çabuk, additional, Tarsia, Maria, additional, Karamanakos, Anastasios, additional, Hernández-Rodríguez, José, additional, Parronchi, Paola, additional, Opris-Belinski, Daniela, additional, Barone, Patrizia, additional, Recke, Andreas, additional, Costi, Stefania, additional, Sfriso, Paolo, additional, Giardini, Henrique A. Mayrink, additional, Gentileschi, Stefano, additional, Wiesik-Szewczyk, Ewa, additional, Vasi, Ibrahim, additional, Loconte, Roberta, additional, Jahnz-Różyk, Karina, additional, Martín-Nares, Eduardo, additional, Torres-Ruiz, Jiram, additional, Cauli, Alberto, additional, Conforti, Alessandro, additional, Emmi, Giacomo, additional, Li Gobbi, Francesca, additional, Biasi, Giovanni Rosario, additional, Terribili, Riccardo, additional, Ruscitti, Piero, additional, Del Giudice, Emanuela, additional, Tharwat, Samar, additional, Brucato, Antonio Luca, additional, Ogunjimi, Benson, additional, Hinojosa-Azaola, Andrea, additional, Balistreri, Alberto, additional, Fabiani, Claudia, additional, Frediani, Bruno, additional, and Cantarini, Luca, additional

Published
2024
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4. The Influence of Additional Treatments on the Survival of Patients Undergoing Transarterial Radioembolization (TARE)

Author

Quartuccio, Natale, primary, Ialuna, Salvatore, additional, Scalisi, Daniele, additional, D’Amato, Fabio, additional, Barcellona, Maria Rosa, additional, Bavetta, Maria Grazia, additional, Fusco, Giorgio, additional, Bronte, Enrico, additional, Musso, Emma, additional, Bronte, Fabrizio, additional, Picciotto, Viviana, additional, Carroccio, Antonio, additional, Verderame, Francesco, additional, Malizia, Giuseppe, additional, Cistaro, Angelina, additional, La Gattuta, Fabio, additional, and Moreci, Antonino Maria, additional

Published
2024
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5. The Influence of Additional Treatments, Injected Activity and Mean Dose to the Tumor on the Overall Survival of Patients Undergoing Transarterial Radioembolization (TARE)

Author

Quartuccio, Natale, primary, Ialuna, Salvatore, additional, Scalisi, Daniele, additional, D'Amato, Fabio, additional, Barcellona, Maria Rosa, additional, Bavetta, Maria Grazia, additional, Fusco, Giorgio, additional, Bronte, Enrico, additional, Musso, Emma, additional, Bronte, Fabrizio, additional, Picciotto, Viviana, additional, Carroccio, Antonio, additional, Verderame, Francesco, additional, Malizia, Giuseppe, additional, Cistaro, Angelina, additional, La Gattuta, Fabio, additional, and Moreci, Antonino Maria, additional

Published
2024
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6. Direct-acting antivirals after successful treatment of early hepatocellular carcinoma improve survival in HCV-cirrhotic patients

Author

Cabibbo, Giuseppe, Celsa, Ciro, Calvaruso, Vincenza, Petta, Salvatore, Cacciola, Irene, Cannavò, Maria Rita, Madonia, Salvatore, Rossi, Margherita, Magro, Bianca, Rini, Francesca, Distefano, Marco, Larocca, Licia, Prestileo, Tullio, Malizia, Giuseppe, Bertino, Gaetano, Benanti, Francesco, Licata, Anna, Scalisi, Ignazio, Mazzola, Giovanni, Di Rosolini, Maria Antonietta, Alaimo, Giuseppe, Averna, Alfonso, Cartabellotta, Fabio, Alessi, Nicola, Guastella, Salvatore, Russello, Maurizio, Scifo, Gaetano, Squadrito, Giovanni, Raimondo, Giovanni, Trevisani, Franco, Craxì, Antonio, Di Marco, Vito, and Cammà, Calogero

Published
2019
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9. The Autoinflammatory Diseases Alliance Registry of monogenic autoinflammatory diseases

Author

Gaggiano, Carla, primary, Vitale, Antonio, additional, Tufan, Abdurrahman, additional, Ragab, Gaafar, additional, Aragona, Emma, additional, Wiesik-Szewczyk, Ewa, additional, Ait-Idir, Djouher, additional, Conti, Giovanni, additional, Iezzi, Ludovica, additional, Maggio, Maria Cristina, additional, Cattalini, Marco, additional, Torre, Francesco La, additional, Lopalco, Giuseppe, additional, Verrecchia, Elena, additional, Paulis, Amato de, additional, Sahin, Ali, additional, Insalaco, Antonella, additional, Sfikakis, Petros P., additional, Marino, Achille, additional, Frassi, Micol, additional, Ogunjimi, Benson, additional, Opris-Belinski, Daniela, additional, Parronchi, Paola, additional, Emmi, Giacomo, additional, Shahram, Farhad, additional, Ciccia, Francesco, additional, Piga, Matteo, additional, Hernández-Rodríguez, José, additional, Pereira, Rosa Maria R., additional, Alessio, Maria, additional, Naddei, Roberta, additional, Olivieri, Alma Nunzia, additional, Giudice, Emanuela Del, additional, Sfriso, Paolo, additional, Ruscitti, Piero, additional, Gobbi, Francesca Li, additional, Kucuk, Hamit, additional, Sota, Jurgen, additional, Hussein, Mohamed A., additional, Malizia, Giuseppe, additional, Jahnz-Różyk, Karina, additional, Sari-Hamidou, Rawda, additional, Romeo, Mery, additional, Ricci, Francesca, additional, Cardinale, Fabio, additional, Iannone, Florenzo, additional, Casa, Francesca Della, additional, Natale, Marco Francesco, additional, Laskari, Katerina, additional, Giani, Teresa, additional, Franceschini, Franco, additional, Sabato, Vito, additional, Yildirim, Derya, additional, Caggiano, Valeria, additional, Hegazy, Mohamed Tharwat, additional, Marzo, Rosalba Di, additional, Kucharczyk, Aleksandra, additional, Khellaf, Ghalia, additional, Tarsia, Maria, additional, Almaghlouth, Ibrahim A., additional, Laymouna, Ahmed Hatem, additional, Mastrorilli, Violetta, additional, Dotta, Laura, additional, Benacquista, Luca, additional, Grosso, Salvatore, additional, Crisafulli, Francesca, additional, Parretti, Veronica, additional, Giordano, Heitor F., additional, Mahmoud, Ayman Abdel-Monem Ahmed, additional, Nuzzolese, Rossana, additional, Musso, Marta De, additional, Chighizola, Cecilia Beatrice, additional, Gentileschi, Stefano, additional, Morrone, Mirella, additional, Cola, Ilenia Di, additional, Spedicato, Veronica, additional, Giardini, Henrique A. Mayrink, additional, Vasi, Ibrahim, additional, Renieri, Alessandra, additional, Fabbiani, Alessandra, additional, Mencarelli, Maria Antonietta, additional, Frediani, Bruno, additional, Balistreri, Alberto, additional, Tosi, Gian Marco, additional, Fabiani, Claudia, additional, Lidar, Merav, additional, Rigante, Donato, additional, and Cantarini, Luca, additional

Published
2022
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11. The potential role of machine learning in modelling advanced chronic liver disease.

Author

D'Amico, Gennaro, Colli, Agostino, Malizia, Giuseppe, and Casazza, Giovanni

Abstract

The use of artificial intelligence is rapidly increasing in medicine to support clinical decision making mostly through diagnostic and prediction models. Such models derive from huge databases (big data) including a large variety of health-related individual patient data (input) and the corresponding diagnosis and/or outcome (labels). Various types of algorithms (e.g. neural networks) based on powerful computational ability (machine), allow to detect the relationship between input and labels (learning). More complex algorithms, like recurrent neural network can learn from previous as well as actual input (deep learning) and are used for more complex tasks like imaging analysis and personalized (bespoke) medicine. The prompt availability of big data makes that artificial intelligence can provide rapid answers to questions that would require years of traditional clinical research. It may therefore be a key tool to overcome several major gaps in the model of advanced chronic liver disease, mostly transition from mild to clinically significant portal hypertension, the impact of acute decompensation and the role of further decompensation and treatment efficiency. However, several limitations of artificial intelligence should be overcome before its application in clinical practice. Assessment of the risk of bias, understandability of the black boxes developing the models and models' validation are the most important areas deserving clarification for artificial intelligence to be widely accepted from physicians and patients. [ABSTRACT FROM AUTHOR]

Published
2023
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13. The consequences of COVID-19 pandemic on patients with monoclonal gammopathy–associated systemic capillary leak syndrome (Clarkson disease)

Author

Pineton de Chambrun, Marc, Gousseff, Marie, Mauhin, Wladimir, Hot, Arnaud, Lega, Jean-Christophe, Lambert, Marc, Riviere, Sophie, Dossier, Antoine, Ruivard, Marc, Lhote, François, Blaison, Gilles, Merceron, Sybille, Zapella, Nathalie, Alric, Laurent, Agard, Christian, Lacout, Mathieu, Saadoun, David, Graveleau, Julie, Soubrier, Martin, Haroche, Julien, Boileau, Julien, Lucchini-Lecomte, Marie-Josee, Hanslik, Thomas, Christides, Christine, Levesque, Hervé, Talasczka, Aline, Bulte, Caroline, Hachulla, Eric, Decaux, Olivier, Sonneville, Romain, Ibouanga, Florent, Arnulf, Bertrand, Benedit, Marcel, Viallard, Jean François, Tieulie, Nathalie, Haddad, Fadi, Moulin, Bruno, Cohen-Aubert, Fleur, Lovey, Pierre-Yves, le Moal, Sylvie, Bibes, Béatrice, Rivard, Georges-Etienne, Rondeau, Eric, Malizia, Giuseppe, Debourdeau, Philippe, Abgueguen, Pierre, Bosseray, Annick, Devaquet, Jérôme, Presne, Claire, Liferman, François, Limal, Nicolas, Argaud, Laurent, Hernu, Romain, de la Salle, Sylvie, Faguer, Stanislas, Urbanski, Geoffrey, Zucman, Noémie, Werner, Marie, Luyt, Charles-Edouard, Moyon, Quentin, Verlicchi, Franco, Troncoso, Jorge Álvarez, Harty, John, Godmer, Pascal, Hie, Miguel, Papo, Thomas, Hatron, Pierre-Yves, Mathian, Alexis, and Amoura, Zahir

Published
2022
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14. Intravenous Immunoglobulins Improve Survival in Monoclonal Gammopathy-Associated Systemic Capillary-Leak Syndrome

Author

Pineton de Chambrun, Marc, Gousseff, Marie, Mauhin, Wladimir, Hot, Arnaud, Argaud, Laurent, Hernu, Romain, de la Salle, Sylvie, Lega, Jean-Christophe, Ledochowski, Stanislas, Lambert, Marc, Moreau, Anne-Sophie, Rivière, Sophie, Dossier, Antoine, Papo, Thomas, Sonneville, Romain, Ruivard, Marc, Lhote, François, Verdière, Bruno, Blaison, Gilles, Merceron, Sybille, Zappella, Nathalie, Alric, Laurent, Agard, Christian, Landais, Mickael, Limal, Nicolas, Contou, Damien, Saadoun, David, Similowski, Thomas, Demoule, Alexandre, Graveleau, Julie, Soubrier, Martin, Souweine, Bertrand, Haroche, Julien, Boileau, Julien, Lucchini-Lecomte, Marie-Josée, Lecomte, Bernard, Hanslik, Thomas, Vieillard-Baron, Antoine, Christides, Christine, Bosseray, Annick, Terzi, Nicolas, Levesque, Hervé, Bulte, Caroline, Talasczka, Aline, Hachulla, Eric, Decaux, Olivier, Ibouanga, Florent, Arnulf, Bertrand, Groh, Matthieu, Azoulay, Elie, Benedit, Marcel, Viallard, Jean-François, Tieulie, Nathalie, Maalouf, Assaad, Moulin, Bruno, Cohen-Aubart, Fleur, Lovey, Pierre-Yves, Friolet, Raymond, le Moal, Sylvie, Bibes, Béatrice, Pha, Micheline, Rivard, Georges-Etienne, Rondeau, Eric, Malizia, Giuseppe, Debourdeau, Philippe, Puidupin, Marc, Abgueguen, Pierre, Beloncle, François, Devaquet, Jérôme, Presne, Claire, Liferman, François, Mazou, Jean-Marc, Andrieu, Maude, Paulus, Sylvie, Fedun, Yannick, Mira, Jean-Paul, Raphalen, Jean-Herlé, Len Abad, Oscar, Devilliers, Hervé, Rogers, Alister, Godmer, Pascal, Luyt, Charles-Edouard, Combes, Alain, Hie, Miguel, Mathian, Alexis, Hatron, Pierre-Yves, Ninet, Jacques, Amoura, Zahir, Le Moal, Sylvie, and Lifermann, François

Published
2017
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15. Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology

Author

D’Amico, Gennaro, primary, Maruzzelli, Luigi, additional, Airoldi, Aldo, additional, Petridis, Ioannis, additional, Tosetti, Giulia, additional, Rampoldi, Antonio, additional, D’Amico, Mario, additional, Miraglia, Roberto, additional, De Nicola, Stella, additional, La Mura, Vincenzo, additional, Solcia, Marco, additional, Volpes, Riccardo, additional, Perricone, Giovanni, additional, Sgrazzutti, Cristiano, additional, Vanzulli, Angelo, additional, Primignani, Massimo, additional, Luca, Angelo, additional, Malizia, Giuseppe, additional, Federico, Alessandro, additional, Dallio, Marcello, additional, Andriulli, Angelo, additional, Iacobellis, Angelo, additional, Addario, Luigi, additional, Garcovich, Matteo, additional, Gasbarrini, Antonio, additional, Chessa, Luchino, additional, Salerno, Francesco, additional, Gobbo, Giulia, additional, Merli, Manuela, additional, Ridola, Lorenzo, additional, Baroni, Gianluca Svegliati, additional, Tarantino, Giuseppe, additional, Caporaso, Nicola, additional, Morisco, Filomena, additional, Pozzoni, Pietro, additional, Colli, Agostino, additional, and Belli, Luca Saverio, additional

Published
2021
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18. Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology

Author

D'Amico, G, Maruzzelli, L, Airoldi, A, Petridis, I, Tosetti, G, Rampoldi, A, D'Amico, M, Miraglia, R, De Nicola, S, La Mura, V, Solcia, M, Volpes, R, Perricone, G, Sgrazzutti, C, Vanzulli, A, Primignani, M, Luca, A, Malizia, G, Federico, A, Dallio, M, Andriulli, A, Iacobellis, A, Addario, L, Garcovich, M, Gasbarrini, A, Chessa, L, Salerno, F, Gobbo, G, Merli, M, Ridola, L, Baroni, G, Tarantino, G, Caporaso, N, Morisco, F, Pozzoni, P, Colli, A, Belli, L, D'Amico, Gennaro, Maruzzelli, Luigi, Airoldi, Aldo, Petridis, Ioannis, Tosetti, Giulia, Rampoldi, Antonio, D'Amico, Mario, Miraglia, Roberto, De Nicola, Stella, La Mura, Vincenzo, Solcia, Marco, Volpes, Riccardo, Perricone, Giovanni, Sgrazzutti, Cristiano, Vanzulli, Angelo, Primignani, Massimo, Luca, Angelo, Malizia, Giuseppe, Federico, Alessandro, Dallio, Marcello, Andriulli, Angelo, Iacobellis, Angelo, Addario, Luigi, Garcovich, Matteo, Gasbarrini, Antonio, Chessa, Luchino, Salerno, Francesco, Gobbo, Giulia, Merli, Manuela, Ridola, Lorenzo, Baroni, Gianluca Svegliati, Tarantino, Giuseppe, Caporaso, Nicola, Morisco, Filomena, Pozzoni, Pietro, Colli, Agostino, Belli, Luca Saverio, D'Amico, G, Maruzzelli, L, Airoldi, A, Petridis, I, Tosetti, G, Rampoldi, A, D'Amico, M, Miraglia, R, De Nicola, S, La Mura, V, Solcia, M, Volpes, R, Perricone, G, Sgrazzutti, C, Vanzulli, A, Primignani, M, Luca, A, Malizia, G, Federico, A, Dallio, M, Andriulli, A, Iacobellis, A, Addario, L, Garcovich, M, Gasbarrini, A, Chessa, L, Salerno, F, Gobbo, G, Merli, M, Ridola, L, Baroni, G, Tarantino, G, Caporaso, N, Morisco, F, Pozzoni, P, Colli, A, Belli, L, D'Amico, Gennaro, Maruzzelli, Luigi, Airoldi, Aldo, Petridis, Ioannis, Tosetti, Giulia, Rampoldi, Antonio, D'Amico, Mario, Miraglia, Roberto, De Nicola, Stella, La Mura, Vincenzo, Solcia, Marco, Volpes, Riccardo, Perricone, Giovanni, Sgrazzutti, Cristiano, Vanzulli, Angelo, Primignani, Massimo, Luca, Angelo, Malizia, Giuseppe, Federico, Alessandro, Dallio, Marcello, Andriulli, Angelo, Iacobellis, Angelo, Addario, Luigi, Garcovich, Matteo, Gasbarrini, Antonio, Chessa, Luchino, Salerno, Francesco, Gobbo, Giulia, Merli, Manuela, Ridola, Lorenzo, Baroni, Gianluca Svegliati, Tarantino, Giuseppe, Caporaso, Nicola, Morisco, Filomena, Pozzoni, Pietro, Colli, Agostino, and Belli, Luca Saverio

Abstract

Although discrimination of the model for end stage liver disease (MELD) is generally considered acceptable, its calibration is still unclear. In a validation study, we assessed the discrimination and calibration performance of 3 versions of the model: original MELD-TIPS, used to predict survival after transjugular intra-hepatic portosystemic shunt (TIPS); classic MELD-Mayo; MELD-UNOS, used by United Network for Organ Sharing (UNOS). Recalibration and model updating were also explored.

Published
2021

20. Model for end stage liver disease for prediction of mortality in people with cirrhosis

Author

D'Amico, Gennaro, additional, Perricone, Giovanni, additional, Morabito, Alberto, additional, Latteri, Federica, additional, Filì, Daniela, additional, Affronti, Andrea, additional, Pietrosi, Giada, additional, Maida, Marcello, additional, Rizzo, Giacomo Emanuele Maria, additional, Bronte, Fabrizio, additional, Petridis, Ioannis, additional, Bavetta, Maria Grazia, additional, Volpes, Riccardo, additional, Malizia, Giuseppe, additional, and Luca, Angelo, additional

Published
2021
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24. Liver and cardiovascular mortality after hepatitis C virus eradication by DAA: Data from RESIST‐HCV cohort.

Author

Calvaruso, Vincenza, Petta, Salvatore, Cacciola, Irene, Cabibbo, Giuseppe, Cartabellotta, Fabio, Distefano, Marco, Scifo, Gaetano, Di Rosolini, Maria Antonietta, Russello, Maurizio, Prestileo, Tullio, Madonia, Salvatore, Malizia, Giuseppe, Montineri, Arturo, Digiacomo, Antonio, Licata, Anna, Benanti, Francesco, Bertino, Gaetano, Enea, Marco, Battaglia, Salvatore, and Squadrito, Giovanni

Subjects
HEPATITIS C virus, PLATELET count, LIVER, CARDIOVASCULAR disease related mortality, CHRONIC kidney failure, CHRONIC hepatitis B, MORTALITY
Abstract

Real‐world evidence on the course of Hepatitis C Virus (HCV) chronic liver disease after Sustained Virologic Response (SVR) obtained with direct‐acting antiviral drugs (DAAs) are still limited, and the effects on mortality remain unclear. We evaluated the post‐treatment survival of 4307 patients in the RESIST‐HCV cohort (mean age 66.3 ± 11.6 years, 56.9% males, 24.7% chronic hepatitis, 66.9% Child‐Pugh A cirrhosis and 8.4% Child‐Pugh B cirrhosis) treated with DAAs between March 2015 and December 2016 and followed for a median of 73 weeks (range 16–152). Proportional cause‐specific hazard regression for competing risks was used to evaluate the survival and to assess the predictors of liver and cardiovascular death. Overall, 94.7% of patients achieved SVR while 5.3% were HCV RNA‐positive at last follow‐up. Sixty‐three patients (1.4%) died during the observation period. SVR was associated with a decreased risk of liver mortality (hazard ratio,HR0.09, beta −2.37, p <.001). Also, platelet count (HR 0.99, beta‐0.01, p =.007) and albumin value (HR 0.26, beta −1.36 p =.001) were associated with liver mortality by competing risk analysis. SVR was associated with a reduced risk of cardiovascular mortality regardless of presence of cirrhosis (HR 0.07, beta‐2.67, p <.001). Presence of diabetes (HR 3.45, beta 1.24, p =.014) and chronic kidney disease class ≥3 (HR 3.60, beta 1.28, p = 0.016) were two factors independently associated with higher risk of cardiovascular mortality. Patients with SVR to a DAA therapy have a better liver and cardiovascular survival, and the effects of HCV eradication are most evident in patients with compensated liver disease. [ABSTRACT FROM AUTHOR]

Published
2021
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26. Clinical states of cirrhosis and competing risks

Author

D'Amico, G, Morabito, A, D'Amico, M, Pasta, L, Malizia, G, Rebora, P, Valsecchi, M, D'Amico, Gennaro, Morabito, Alberto, D'Amico, Mario, Pasta, Linda, Malizia, Giuseppe, Rebora, Paola, Valsecchi, Maria Grazia, D'Amico, G, Morabito, A, D'Amico, M, Pasta, L, Malizia, G, Rebora, P, Valsecchi, M, D'Amico, Gennaro, Morabito, Alberto, D'Amico, Mario, Pasta, Linda, Malizia, Giuseppe, Rebora, Paola, and Valsecchi, Maria Grazia

Abstract

The clinical course of cirrhosis is mostly determined by the progressive increase of portal hypertension, hyperdynamic circulation, bacterial translocation and activation of systemic inflammation. Different disease states, encompassing compensated and decompensated cirrhosis and a late decompensated state, are related to the progression of these mechanisms and may be recognised by haemodynamic or clinical characteristics. While these disease states do not follow a predictable sequence, they correspond to varying mortality risk. Acute-on-chronic liver failure may occur either in decompensated or in compensated cirrhosis and is always associated with a high short-term mortality. The increasing severity of these disease states prompted the concept of clinical states of cirrhosis. A multistate approach has been considered to describe the clinical course of the disease. Such an approach requires the assessment of the probabilities of different outcomes in each state, which compete with each other to occur first and mark the transition towards a different state. This requires the use of competing risks analysis, since the traditional Kaplan-Meier analysis should only be used in two-state settings. Accounting for competing risks also has implications for prognosis and treatment efficacy research. The aim of this review is to summarise relevant clinical states and to show examples of competing risks analysis in multistate models of cirrhosis.

Published
2018

27. Adding Azathioprine to Remission-Induction Glucocorticoids for Eosinophilic Granulomatosis With Polyangiitis (Churg-Strauss), Microscopic Polyangiitis, or Polyarteritis Nodosa Without Poor Prognosis Factors

Author

Puechal, Xavier, Pagnoux, Christian, Baron, Gabriel, Quemeneur, Thomas, Néel, Antoine, Agard, Christian, Lifermann, François, Liozon, Eric, Ruivard, Marc, Godmer, Pascal, Limal, Nicolas, Mekinian, Arsène, Papo, Thomas, Ruppert, Anne, Bourgarit, Anne, Bienvenu, Boris, Geffray, Loïc, Saraux, Luc, Diot, Elisabeth, Crestani, Bruno, Delbrel, Xavier, Sailler, Laurent, Cohen, Pascal, Le Guern, Véronique, Terrier, Benjamin, Groh, Matthieu, Le Jeunne, Claire, Mouthon, Luc, Ravaud, Philippe, Guillevin, Loïc, Pineton de Chambrun, Marc, Luyt, Charles-Edouard, Beloncle, Francois, Gousseff, Marie, Mauhin, Wladimir, Argaud, Laurent, Ledochowski, Stanislas, Moreau, Anne-Sophie, Sonneville, Romain, Verdière, Bruno, Merceron, Sybille, Zappella, Nathalie, Landais, Mickael, Contou, Damien, Demoule, Alexandre, Paulus, Sylvie, Souweine, Bertrand, Lecomte, Bernard, Vieillard-Baron, Antoine, Terzi, Nicolas, Azoulay, Elie, Friolet, Raymond, Puidupin, Marc, Devaquet, Jérôme, Mazou, Jean-Marc, Fédun, Yannick, Mira, Jean-Paul, Raphalen, Jean-Herlé, Combes, Alain, Amoura, Zahir, Lega, Jean-Christophe, Lambert, Marc, Rivière, Sophie, Dossier, Antoine, Lhote, François, Blaison, Gilles, Alric, Laurent, Saadoun, David, Graveleau, Julie, Soubrier, Martin, Lecomte, Marie-Josée, Christides, Christine, Bosseray, Annick, Lévesque, Hervé, Viallard, François, Tieulie, Nathalie, Lovey, Pierre-Yves, Le Moal, Sylvie, Bibes, Béatrice, Malizia, Giuseppe, Abgueguen, Pierre, Liferman, François, Ninet, Jacques, Hatron, Pierre-Yves, Hot, Arnaud, Hernu, Romain, de La Salle, Sylvie, Similowski, Thomas, Haroche, Julien, Boileau, Julien, Hanslik, Thomas, Bulte, Caroline, Talasczka, Aline, Hachulla, Eric, Decaux, Olivier, Ibouanga, Florent, Arnulf, Bertrand, Benedit, Marc, Maalouf, Assaad, Moulin, Bruno, Cohen-Aubart, Fleur, Pha, Micheline, Rivard, Georges-Etienne, Rondeau, Eric, Debourdeau, Philippe, Presne, Claire, Andrieu, Maude, Len Abad, Oscar, Devilliers, Hervé, Rogers, Alister, Hie, Miguel, Mathian, Alexis, Heidelberger, Valentine, Ingen-Housz-Oro, Saskia, Marquet, Alicia, Mahevas, Matthieu, Bessis, Didier, Bouillet, Laurence, Caux, Frédéric, Chapelon-Abric, Catherine, Debarbieux, Sebastien, Delaporte, Emmanuel, Duval-Modeste, Anne-Bénédicte, Fain, Olivier, Joly, Pascal, Marchand-Adam, Marc, Monfort, Jean-Benoît, Noel, Nicolas, Passeron, Thierry, Sarrot-Reynauld, Françoise, Verrot, Denis, Bouvry, Diane, Fardet, Laurence, Chosidow, Olivier, Sève, Pascal, Valeyre, Dominique, Moreau, Sophie, Centre Hospitalier Le Mans (CH Le Mans), Service de médecine interne et centre de référence des maladies rares [CHU Cochin], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Cochin [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Modèles et méthodes de l'évaluation thérapeutique des maladies chroniques (U738 / UMR_S738), Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Paris Diderot - Paris 7 (UPD7), Département de Médecine Interne (VALENCIENNES - Med Int), CH Valenciennes, Service de médecine interne [Nantes], Université de Nantes (UN)-Hôtel-Dieu-Centre hospitalier universitaire de Nantes (CHU Nantes), Service de Médecine Interne [Dax], Centre Hospitalier de Dax, Service de Médecine interne A et polyclinique médicale [CHU Limoges], CHU Limoges, CHU Estaing [Clermont-Ferrand], CHU Clermont-Ferrand, Service de médecine interne [CHU Bretagnes Atlantique], CHU Bretagnes Atlantique, Service de rhumatologie [CHU Saint-Antoine], CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Department of Internal Medicine, Université Paris Diderot - Paris 7 (UPD7), Centre d'Immunologie et de Maladies Infectieuses (CIMI), Centre National de la Recherche Scientifique (CNRS)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Pierre et Marie Curie - Paris 6 (UPMC), CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN), Médecine interne, Centre Hospitalier Régional Universitaire de Tours (CHRU Tours), Physiopathologie et Epidemiologie de l'Insuffisance Respiratoire, Université Paris Diderot - Paris 7 (UPD7)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Médecine Interne [Pau], Centre hospitalier de Pau, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Immunologie - Immunopathologie - Immunothérapeutique (I3), Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Service des maladies infectieuses et tropicales, Université Paris Diderot - Paris 7 (UPD7)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut Cochin (IC UM3 (UMR 8104 / U1016)), Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service de Chirurgie Orthopédique et traumatique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-AP-HP - Hôpital Bichat - Claude Bernard [Paris], Centre de référence pour les vascularites nécrosantes et la sclérodermie systémique, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Descartes - Paris 5 (UPD5)-Faculté de Médecine-pôle de Médecine Interne, CHU Tenon [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Institute of cardiometabolism and nutrition (ICAN), Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Institut National de la Santé et de la Recherche Médicale (INSERM)-CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU), Service de Réanimation Médicale et de Médecine Hyperbare [Angers], Centre Hospitalier Universitaire d'Angers (CHU Angers), PRES Université Nantes Angers Le Mans (UNAM)-PRES Université Nantes Angers Le Mans (UNAM), Institut Pasteur de Madagascar, Réseau International des Instituts Pasteur (RIIP), Centre de recherche en myologie, Université Pierre et Marie Curie - Paris 6 (UPMC)-Association française contre les myopathies (AFM-Téléthon)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Hôpital Edouard Herriot [CHU - HCL], Hospices Civils de Lyon (HCL), Ecole Polytechnique Fédérale de Lausanne (EPFL), Hôpital Bichat - Claude Bernard, Service de soins intensifs, Centre Hospitalier de Versailles André Mignot (CHV), Service de réanimation médicale, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Neurophysiologie Respiratoire Expérimentale et Clinique, Université Pierre et Marie Curie - Paris 6 (UPMC)-Institut National de la Santé et de la Recherche Médicale (INSERM), Laboratoire Microorganismes : Génome et Environnement (LMGE), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Centre National de la Recherche Scientifique (CNRS)-Université d'Auvergne - Clermont-Ferrand I (UdA), Médecine générale, Service de réanimation medico-chirurgicale [CHU Raymond-Poincaré], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Ambroise Paré [AP-HP], Service de réanimation médicale [CHU Caen], Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Université de Caen Normandie (UNICAEN), Normandie Université (NU), Medical ICU, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Groupe Hospitalier Saint Louis - Lariboisière - Fernand Widal [Paris], Service d'anesthésie-réanimation SAMU94-SMUR94 [Mondor], Institut Cochin (UMR_S567 / UMR 8104), Université Paris Descartes - Paris 5 (UPD5)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS), Immunité et Infection, Université Pierre et Marie Curie - Paris 6 (UPMC)-IFR113-Institut National de la Santé et de la Recherche Médicale (INSERM), Centre Hospitalier Universitaire de Montpellier (CHU Montpellier ), Centre National de la Recherche Scientifique (CNRS), Hôpital pasteur [Colmar], Service de Medecine Interne, CHU Toulouse [Toulouse]-Hôpital Purpan [Toulouse], CHU Toulouse [Toulouse], Centre hospitalier de Saint-Nazaire, Clinique de médecine interne, Université Joseph Fourier - Grenoble 1 (UJF)-CHU Grenoble, Service de Médecine Interne [CHU Rouen], CHU Rouen, Normandie Université (NU)-Normandie Université (NU)-Université de Rouen Normandie (UNIROUEN), Hôpital l'Archet, Service des maladies infectieuses et tropicales [CHU Angers], Médecine Interne Dax (MEDECINE INTERNE), Hopital, Service de Médecine Interne, Hospices Civils de Lyon (HCL)-Hospices Civils de Lyon (HCL), Service de médecine interne [Lille], Centre Hospitalier Régional Universitaire [Lille] (CHRU Lille), Service de Pneumologie et Réanimation Médicale [CHU Pitié-Salpêtrière] (Département ' R3S '), CHU Pitié-Salpêtrière [AP-HP], Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Service de médecine interne [CHU Pitié-Salpétrière], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Pitié-Salpêtrière [AP-HP], Department of Clinical Immunology, CHU Strasbourg, CHU Pontchaillou [Rennes], Service d'hématologie biologique, Service de néphrologie, Service de médecine interne et d'immunologie clinique [CHU Pitié-Salpêtrière], Service d'Hématologie-Oncologie, Hôpital Ste-Justine, Département d'Oncologie (Dep Oncol - AVIGNON), Institut Ste Catherine, Service de Néphrologie - Médecine Interne, CHU Amiens-Picardie-hôpital Sud, Service de Médecine Interne (SOC 1 et SOC 2) [CHU de Dijon], Centre Hospitalier Universitaire de Dijon - Hôpital François Mitterrand (CHU Dijon), CHU Henri Mondor, Service de Médecine Interne [Henri Mondor], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Henri Mondor-Centre de référence maladie rare des cytopénies auto-immunes de l'adulte-Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Service de Dermatologie, Centre Hospitalier Régional Universitaire [Montpellier] (CHRU Montpellier), Service de dermatologie [Avicenne], Hôpital Avicenne [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris 13 (UP13), Service de Dermatologie, Centre Hospitalier Sud, Hospices Civils, Lyon, Service de dermatologie (CHRU de Lille), Service de dermatologie [Rouen], Service de médecine interne, Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Jean Verdier [AP-HP], Commissariat à l'énergie atomique et aux énergies alternatives - Laboratoire d'Electronique et de Technologie de l'Information (CEA-LETI), Direction de Recherche Technologique (CEA) (DRT (CEA)), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Commissariat à l'énergie atomique et aux énergies alternatives (CEA), Université Paris Descartes - Faculté de Médecine (UPD5 Médecine), Université Paris Descartes - Paris 5 (UPD5), UNIROUEN - UFR Santé (UNIROUEN UFR Santé), Université de Rouen Normandie (UNIROUEN), Normandie Université (NU)-Normandie Université (NU), Equipe 12, Centre Hospitalier Universitaire de Nice (CHU Nice)-Hôpital l'Archet-Centre Hospitalier Universitaire de Nice (CHU Nice)-Hôpital l'Archet-Centre méditerranéen de médecine moléculaire (C3M), Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA), Service de pneumologie [Avicenne], Service de médecine interne [Saint-Antoine], Université Pierre et Marie Curie - Paris 6 (UPMC)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-CHU Saint-Antoine [AP-HP], Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Sorbonne Université (SU)-Sorbonne Université (SU), Epidemiology in Dermatology and Evaluation in Therapeutics (EpiDermE), Université Paris-Est Créteil Val-de-Marne - Paris 12 (UPEC UP12), Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Université Paris Diderot - Paris 7 (UPD7), Unité de Recherche sur les Maladies Cardiovasculaires, du Métabolisme et de la Nutrition = Research Unit on Cardiovascular and Metabolic Diseases (ICAN), Centre de recherche en Myologie – U974 SU-INSERM, Institut National de la Santé et de la Recherche Médicale (INSERM)-Sorbonne Université (SU), Université Blaise Pascal - Clermont-Ferrand 2 (UBP)-Université d'Auvergne - Clermont-Ferrand I (UdA)-Centre National de la Recherche Scientifique (CNRS), Université de Caen Normandie (UNICAEN), Normandie Université (NU)-Normandie Université (NU)-CHU Caen, Normandie Université (NU)-Tumorothèque de Caen Basse-Normandie (TCBN)-Tumorothèque de Caen Basse-Normandie (TCBN), Service Médecine interne [CHU Toulouse], Pôle Inflammation, infection, immunologie et loco-moteur [CHU Toulouse] (Pôle I3LM Toulouse), Centre Hospitalier Universitaire de Toulouse (CHU Toulouse)-Centre Hospitalier Universitaire de Toulouse (CHU Toulouse), CHU Henri Mondor [Créteil], Université Paris 13 (UP13)-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP)-Hôpital Avicenne [AP-HP], Université Nice Sophia Antipolis (1965 - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Côte d'Azur (UCA)-Université Nice Sophia Antipolis (1965 - 2019) (UNS), Hôpital Ambroise Paré [AP-HP]-Assistance publique - Hôpitaux de Paris (AP-HP) (AP-HP), Institut National de la Santé et de la Recherche Médicale (INSERM)-Centre National de la Recherche Scientifique (CNRS)-Université Paris Descartes - Paris 5 (UPD5), Institut National de la Santé et de la Recherche Médicale (INSERM)-IFR113-Université Pierre et Marie Curie - Paris 6 (UPMC), Service de Département de médecine interne et immunologie clinique [CHU Pitié-Salpêtrière] (DMIIC), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Nice Sophia Antipolis (... - 2019) (UNS), COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-COMUE Université Côte d'Azur (2015-2019) (COMUE UCA)-Université Côte d'Azur (UCA)-Institut National de la Santé et de la Recherche Médicale (INSERM), and Service de médecine interne [CHU Saint-Antoine]

Subjects
[SDV.MHEP.RSOA]Life Sciences [q-bio]/Human health and pathology/Rhumatology and musculoskeletal system, [SDV]Life Sciences [q-bio], ComputingMilieux_MISCELLANEOUS, [SDV.MHEP]Life Sciences [q-bio]/Human health and pathology
Abstract

International audience

Published
2017

28. Increased expression of leukocyte function associated antigen-1 (LFA-1) and intercellular adhesion molecule-1 (ICAM-1) by alveolar macrophages of patients with pulmonary sarcoidosis

Author

Melis, Mario, Gjomarkaj, Mark, Pace, Elisabetta, Malizia, Giuseppe, and Spatafora, Mario

Subjects
Antigenic determinants -- Physiological aspects, Cell adhesion molecules -- Physiological aspects, Macrophages -- Physiological aspects, Histology, Pathological -- Physiological aspects, Pulmonary alveoli -- Physiological aspects, Sarcoidosis -- Physiological aspects, Leukocytes -- Physiological aspects, Health, Physiological aspects
Abstract

Leukocyte function associated antigen-1 (LFA-1) and its ligand intercellular adhesion molecule-1 (ICAM-1) are cell adhesion molecules that play an important role in the capacity of mononuclear phagocytes (MPs) to present [...]

Published
1991

35. New concepts on the clinical course and stratification of compensated and decompensated cirrhosis.

Author

D'Amico, Gennaro, Morabito, Alberto, D'Amico, Mario, Pasta, Linda, Malizia, Giuseppe, Rebora, Paola, and Valsecchi, Maria Grazia

Abstract

The clinical course of cirrhosis has been typically described by a compensated and a decompensated state based on the absence or, respectively, the presence of any of bleeding, ascites, encephalopathy or jaundice. More recently, it has been recognized that increasing portal hypertension and several major clinical events are followed by a marked worsening in prognosis, and disease states have been proposed accordingly in a multistate model. The development of multistate models implies the assessment of the probabilities of more than one possible outcome from each disease state. This requires the use of competing risks analysis which investigates the risk of several competing outcomes. In such a situation, the Kaplan--Meier risk estimates and the Cox regression may be not appropriate. Clinical states of cirrhosis presently considered as suitable for a comprehensive multistate model include: in compensated cirrhosis, early (mild) portal hypertension with hepatic venous pressure gradient (HVPG) > 5 and < 10 mmHg, clinically significant portal hypertension (HVPG ≥ 10 mmHg) without gastroesophageal varices (GEV), and GEV; in decompensated cirrhosis, a first variceal bleeding without other decompensating events, any first non-bleeding decompensation and any second decompensating event; and in a late decompensation state, refractory ascites, sepsis, renal failure, recurrent encephalopathy, profound jaundice, acute on chronic liver failure, all predicting a very short survival. In this review, we illustrate how competing risks analysis and multistate models may be applied to cirrhosis. [ABSTRACT FROM AUTHOR]

Published
2018
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36. Prognosis research and risk of bias.

Author

D'Amico, Gennaro, Malizia, Giuseppe, and D'Amico, Mario

Subjects
HEALTH outcome assessment, PROGNOSIS, RESEARCH bias
Abstract

The interest in prognosis research has been steadily growing during the past few decades because of its impact on clinical decision making. However, since the methodology of prognosis research is still incompletely defined, the quality of published prognosis studies is largely unsatisfactory. Seven major domain for risk of bias in prognosis research have been identified, including study participation, attrition, selection of candidate predictors, outcome definition, confounding factors, analysis, and interpretation of results. The methodology for performing prognostic studies is currently aimed at avoiding such potential biases. Amongst methodologic requirements in prognosis research, the following should be considered most relevant: beforehand publication of the study protocol including the full statistical plan; inclusion of patients at a similar point along the course of the disease; rationale and biological plausibility of candidate predictors; complete information; control of overfitting and underfitting; adequate data handling and analysis; publication of the original data. Validation and analysis of the impact that prediction models have on patient management, are key steps for translation of prognosis research into clinical practice. Finally, transparent reporting of prognostic studies is essential for assessing reliability, applicability and generalizability of study results, and recommendations are now available for this aim. [ABSTRACT FROM AUTHOR]

Published
2016
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40. The incidence of esophageal varices in cirrhosis

Author

D'Amico, Gennaro, primary, Pasta, Linda, additional, Madonia, Salvatore, additional, Tarantino, Ilaria G., additional, Mancuso, Andrea, additional, Malizia, Giuseppe, additional, Giannuoli, Gandolfo C., additional, and Pagliaro, Luigi, additional

Published
2001
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49. Performance of the model for end-stage liver disease score for mortality prediction and the potential role of etiology.

Author

D'Amico, Gennaro, Maruzzelli, Luigi, Airoldi, Aldo, Petridis, Ioannis, Tosetti, Giulia, Rampoldi, Antonio, D'Amico, Mario, Miraglia, Roberto, De Nicola, Stella, La Mura, Vincenzo, Solcia, Marco, Volpes, Riccardo, Perricone, Giovanni, Sgrazzutti, Cristiano, Vanzulli, Angelo, Primignani, Massimo, Luca, Angelo, Malizia, Giuseppe, Federico, Alessandro, and Dallio, Marcello

Subjects
*LIVER diseases, *NON-alcoholic fatty liver disease, *ETIOLOGY of diseases, *CREDIT ratings, *CLINICAL prediction rules
Abstract

Although the discriminative ability of the model for end-stage liver disease (MELD) score is generally considered acceptable, its calibration is still unclear. In a validation study, we assessed the discriminative performance and calibration of 3 versions of the model: original MELD-TIPS, used to predict survival after transjugular intrahepatic portosystemic shunt (TIPS); classic MELD-Mayo; and MELD-UNOS, used by the United Network for Organ Sharing (UNOS). We also explored recalibrating and updating the model. In total, 776 patients who underwent elective TIPS (TIPS cohort) and 445 unselected patients (non-TIPS cohort) were included. Three, 6 and 12-month mortality predictions were calculated by the 3 MELD versions: discrimination was assessed by c-statistics and calibration by comparing deciles of predicted and observed risks. Cox and Fine and Grey models were used for recalibration and prognostic analyses. In the TIPS/non-TIPS cohorts, the etiology of liver disease was viral in 402/188, alcoholic in 185/130, and non-alcoholic steatohepatitis in 65/33; mean follow-up±SD was 25±9/19±21 months; and the number of deaths at 3-6-12 months was 57-102-142/31-47-99, respectively. C-statistics ranged from 0.66 to 0.72 in TIPS and 0.66 to 0.76 in non-TIPS cohorts across prediction times and scores. A post hoc analysis revealed worse c-statistics in non-viral cirrhosis with more pronounced and significant worsening in the non-TIPS cohort. Calibration was acceptable with MELD-TIPS but largely unsatisfactory with MELD-Mayo and -UNOS whose performance improved much after recalibration. A prognostic analysis showed that age, albumin, and TIPS indication might be used to update the MELD. In this validation study, the performance of the MELD score was largely unsatisfactory, particularly in non-viral cirrhosis. MELD recalibration and candidate variables for an update to the MELD score are proposed. While the discriminative performance of the model for end-stage liver disease (MELD) score is credited to be fair to good, its calibration, the correspondence of observed to predicted mortality, is still unsettled. We found that application of 3 different versions of the MELD in 2 independent cirrhosis cohorts yielded largely imprecise mortality predictions particularly in non-viral cirrhosis. Thus, we propose a recalibration and suggest candidate variables for an update to the model. [Display omitted] • Discrimination of MELD is widely reported as fair to good, although its calibration is still unclear. • In 2 cirrhosis cohorts we found barely acceptable c-statistics, which were significantly worse in patients with non-viral etiology. • Calibration was largely unsatisfactory with the Mayo and UNOS MELD versions. • Validated recalibrations of MELD-Mayo and UNOS versions are presented which allow reliable predictions for clinical practice. • Age, albumin and ascites as the indication for TIPS are candidate variables for an update to the MELD-TIPS score. [ABSTRACT FROM AUTHOR]

Published
2021
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50. The AutoInflammatory Diseases Alliance Registry of monogenic autoinflammatory diseases

Author

Carla Gaggiano, Antonio Vitale, Abdurrahman Tufan, Gaafar Ragab, Emma Aragona, Ewa Wiesik-Szewczyk, Djouher Ait-Idir, Giovanni Conti, Ludovica Iezzi, Maria Cristina Maggio, Marco Cattalini, Francesco La Torre, Giuseppe Lopalco, Elena Verrecchia, Amato de Paulis, Ali Sahin, Antonella Insalaco, Petros P. Sfikakis, Achille Marino, Micol Frassi, Benson Ogunjimi, Daniela Opris-Belinski, Paola Parronchi, Giacomo Emmi, Farhad Shahram, Francesco Ciccia, Matteo Piga, José Hernández-Rodríguez, Rosa Maria R. Pereira, Maria Alessio, Roberta Naddei, Alma Nunzia Olivieri, Emanuela Del Giudice, Paolo Sfriso, Piero Ruscitti, Francesca Li Gobbi, Hamit Kucuk, Jurgen Sota, Mohamed A. Hussein, Giuseppe Malizia, Karina Jahnz-Różyk, Rawda Sari-Hamidou, Mery Romeo, Francesca Ricci, Fabio Cardinale, Florenzo Iannone, Francesca Della Casa, Marco Francesco Natale, Katerina Laskari, Teresa Giani, Franco Franceschini, Vito Sabato, Derya Yildirim, Valeria Caggiano, Mohamed Tharwat Hegazy, Rosalba Di Marzo, Aleksandra Kucharczyk, Ghalia Khellaf, Maria Tarsia, Ibrahim A. Almaghlouth, Ahmed Hatem Laymouna, Violetta Mastrorilli, Laura Dotta, Luca Benacquista, Salvatore Grosso, Francesca Crisafulli, Veronica Parretti, Heitor F. Giordano, Ayman Abdel-Monem Ahmed Mahmoud, Rossana Nuzzolese, Marta De Musso, Cecilia Beatrice Chighizola, Stefano Gentileschi, Mirella Morrone, Ilenia Di Cola, Veronica Spedicato, Henrique A. Mayrink Giardini, Ibrahim Vasi, Alessandra Renieri, Alessandra Fabbiani, Maria Antonietta Mencarelli, Bruno Frediani, Alberto Balistreri, Gian Marco Tosi, Claudia Fabiani, Merav Lidar, Donato Rigante, Luca Cantarini, Gaggiano, Carla, Vitale, Antonio, Tufan, Abdurrahman, Ragab, Gaafar, Aragona, Emma, Wiesik-Szewczyk, Ewa, Ait-Idir, Djouher, Conti, Giovanni, Iezzi, Ludovica, Maggio, Maria Cristina, Cattalini, Marco, Torre, Francesco La, Lopalco, Giuseppe, Verrecchia, Elena, de Paulis, Amato, Sahin, Ali, Insalaco, Antonella, Sfikakis, Petros P, Marino, Achille, Frassi, Micol, Ogunjimi, Benson, Opris-Belinski, Daniela, Parronchi, Paola, Emmi, Giacomo, Shahram, Farhad, Ciccia, Francesco, Piga, Matteo, Hernández-Rodríguez, José, Pereira, Rosa Maria R, Alessio, Maria, Naddei, Roberta, Olivieri, Alma Nunzia, Giudice, Emanuela Del, Sfriso, Paolo, Ruscitti, Piero, Gobbi, Francesca Li, Kucuk, Hamit, Sota, Jurgen, Hussein, Mohamed A, Malizia, Giuseppe, Jahnz-Różyk, Karina, Sari-Hamidou, Rawda, Romeo, Mery, Ricci, Francesca, Cardinale, Fabio, Iannone, Florenzo, Casa, Francesca Della, Natale, Marco Francesco, Laskari, Katerina, Giani, Teresa, Franceschini, Franco, Sabato, Vito, Yildirim, Derya, Caggiano, Valeria, Hegazy, Mohamed Tharwat, Marzo, Rosalba Di, Kucharczyk, Aleksandra, Khellaf, Ghalia, Tarsia, Maria, Almaghlouth, Ibrahim A, Laymouna, Ahmed Hatem, Mastrorilli, Violetta, Dotta, Laura, Benacquista, Luca, Grosso, Salvatore, Crisafulli, Francesca, Parretti, Veronica, Giordano, Heitor F, Mahmoud, Ayman Abdel-Monem Ahmed, Nuzzolese, Rossana, Musso, Marta De, Chighizola, Cecilia Beatrice, Gentileschi, Stefano, Morrone, Mirella, Cola, Ilenia Di, Spedicato, Veronica, Giardini, Henrique A Mayrink, Vasi, Ibrahim, Renieri, Alessandra, Fabbiani, Alessandra, Mencarelli, Maria Antonietta, Frediani, Bruno, Balistreri, Alberto, Tosi, Gian Marco, Fabiani, Claudia, Lidar, Merav, Rigante, Donato, Cantarini, Luca, Cristina Maggio, Maria, La Torre, Francesco, DE PAULIS, Amato, Sfikakis, Petros P., Pereira, Rosa Maria R., Nunzia Olivieri, Alma, Del Giudice, Emanuela, Li Gobbi, Francesca, Hussein, Mohamed A., Jahnz-Ró˙zyk, Karina, DELLA CASA, Francesca, Francesco Natale, Marco, Tharwat Hegazy, Mohamed, Di Marzo, Rosalba, Kucharczy, Aleksandra, Almaghlouth, Ibrahim A., Hatem Laymouna, Ahmed, Giordano, Heitor F., Abdel-Monem Ahmed Mahmoud, Ayman, De Musso, Marta, Beatrice Chighizola, Cecilia, Di Cola, Ilenia, Mayrink Giardini, Henrique. A., Antonietta Mencarelli, Maria, Marco Tosi, Gian, and Autoinflammatory Diseases Alliance (AIDA) Network

Subjects
Registry, Settore MED/38 - Pediatria Generale E Specialistica, Settore MED/16 - REUMATOLOGIA, autoinflammatory disease, precision medicine, Autoinflammatory diseases, rare diseases, Human medicine, personalized medicine, General Medicine, autoinflammatory diseases, international registry
Abstract

ObjectiveThe present manuscript aims to describe an international, electronic-based, user-friendly and interoperable patient registry for monogenic autoinflammatory diseases (mAIDs), developed in the contest of the Autoinflammatory Diseases Alliance (AIDA) Network.MethodsThis is an electronic platform, based on the Research Electronic Data Capture (REDCap) tool, used for real-world data collection of demographics, clinical, laboratory, instrumental and socioeconomic data of mAIDs patients. The instrument has flexibility, may change over time based on new scientific acquisitions, and communicate potentially with other similar registries; security, data quality and data governance are corner stones of the platform.ResultsAIDA project will share knowledge and expertise on mAIDs. Since its start, 118 centers from 24 countries and 4 continents have joined the AIDA project. Fifty-nine centers have already obtained the approval from their local Ethics Committees. Currently, the platform counts 337 users (122 Principal Investigators, 210 Site Investigators, 2 Lead Investigators, and 3 data managers). The Registry collects baseline and follow-up data using 3,748 fields organized into 21 instruments, which include demographics, patient history, symptoms, trigger/risk factors, therapies, and healthcare information for mAIDs patients.ConclusionsThe AIDA mAIDs Registry, acts both as a research tool for future collaborative real-life studies on mAIDs and as a service to connect all the figures called to participate. On this basis, the registry is expected to play a pivotal role in generating new scientific evidence on this group of rare diseases, substantially improving the management of patients, and optimizing the impact on the healthcare system. NCT 05200715 available at https://clinicaltrials.gov.

Published
2022

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