Search

Your search keyword '"Letizia Marzari"' showing total 2 results
Start Over Author "Letizia Marzari" Topic aged
2 results on '"Letizia Marzari"'

1. Noninvasive diagnosis of fibrosis in non-alcoholic fatty liver disease: diagnostic accuracy of different scores

Author

Arianna Ferro, Marilena Durazzo, Silvia Bonetto, Sharmila Fagoonee, Maria Cristina Ghigo, Paola Belci, Letizia Marzari, and Alessandro Collo

Subjects
Adult, Liver Cirrhosis, Male, medicine.medical_specialty, Cirrhosis, Endocrinology, Diabetes and Metabolism, Disease, digestive system, Gastroenterology, 03 medical and health sciences, 0302 clinical medicine, Non-alcoholic Fatty Liver Disease, Fibrosis, Diabetes mellitus, Internal medicine, Diagnosis, Internal Medicine, Humans, Medicine, Aged, Nutrition and Dietetics, business.industry, Fatty liver, Reproducibility of Results, Middle Aged, medicine.disease, digestive system diseases, 030220 oncology & carcinogenesis, Cohort, Elasticity Imaging Techniques, Female, 030211 gastroenterology & hepatology, business, Transient elastography, Body mass index, Algorithms
Abstract

Background Non-alcoholic fatty liver disease (NAFLD) is a spectrum of pathologies characterized by liver damage without history of excessive alcohol intake. Advanced fibrosis, generally detected by transient elastography (TE), is the most significant predictor of poor prognosis and mortality among these patients. This study aimed at assessing the accuracy of five noninvasive methods, compared to TE, for the evaluation of severity of liver fibrosis in patients with NAFLD. Methods The cohort included 41 patients, in whom the result of TE was compared to AST/ALT ratio, BARD Score (Body Mass Index, AST/ALT ratio, diabetes), AST To Platelet Ratio Index (APRI), Fibrosis-4 Index (FIB-4 Index) and NAFLD Fibrosis Score (NFS). Results The severity of fibrosis, assessed by TE, was the following: F0 (absence of fibrosis): 17%, F1 (mild): 39%, F2 (moderate): 17%, F3 (advanced): 10%, F4 (cirrhosis): 17%. Performances of the diagnostic scores were: 49% for AST/ALT ratio, 68% for BARD Score, 73% for APRI, 59% and 71% for the lower and upper cut-off of FIB-4 Index, 61% and 76% for the lower and upper cut-off of NFS. Conclusions Considering the scores compared to TE, AST/ALT ratio was not enough sensitive, while BARD Score had better diagnostic performance and APRI had a superior accuracy than the formers. However, FIB-4 and NFS were the most useful tests and their performance could be improved through the use of a single cut-off. These findings demonstrated that the most accurate scores, compared to TE, were NFS and FIB-4.

Published
2021
Full Text
View/download PDF

2. Fatality rate and predictors of mortality in an Italian cohort of hospitalized COVID-19 patients

Author

Lucio Boglione, Irene Cecilia Landi, Marinella Bertolotti, Alessandra Galbiati, Luca Lorenzini, Carlo Cisari, Luigia Salamina, Matteo Brucoli, Irene Giacone, Carlo Olivieri, Flavio Bobbio, Marta Betti, Maria Martelli, Paolo Amedeo Tillio, Vanessa Tarantino, Anita R. Pedrinelli, Mario Pirisi, Pietro Luigi Garavelli, Eleonora Croce, Alessandra Gennari, Francesca Zottarelli, Pietro Danna, Marco Invernizzi, Antonio Maconi, Francesca Giolitti, Sofia Battistini, Paolo Marzullo, Roberta Re, Domenico Zagaria, Francesco Gavelli, Federico Ceruti, Ilaria Leone, Greta Maria Giacomini, Leonardo Grisafi, Andrea Parisini, Stephanie Bertolin, Elia Esposto, Vincenzo Cantaluppi, Mattia Bellan, Giuseppe Patti, Emilio Chirico, Matteo Bertoli, Paolo Boffano, Paolo Aluffi Valletti, Alessandro Carriero, Cristoforo Comi, Umberto Dianzani, Eleonora Rizzi, Massimiliano Panella, Marco Sciarra, Edoardo Cammarata, Letizia Marzari, Elisa Zavattaro, Claudia Montabone, Gian Carlo Avanzi, Samuel Alberto Padelli, Massimiliano Garzaro, Pier Paolo Sainaghi, Francesco Barone-Adesi, Carlo Smirne, Gianluca Gaidano, Michela Barini, Francesco Giuseppe Casciaro, Ilaria Inserra, Laura Cristina Gironi, Ilaria Nerici, Clara Ada Gardino, Maria Luisa Gastaldello, Micol Giulia Cittone, Marco Mussa, Umberto Morosini, Andrea Capponi, Davide Di Benedetto, Fabrizio Faggiano, Crizia Colombo, Andrea Rognoni, Elisa Calzaducca, Alessio Paschè, Annalisa Roveta, Gianluca Aimaretti, Roberto Arioli, Giulia Baldon, Roberto Cantello, Ilaria Percivale, Piero Emilio Balbo, Emanuela Barbero, Silvio Borrè, Luigi Mario Castello, Patrizia Zeppegno, Ileana Gagliardi, Emanuela Labella, Alice Ferrero, Marco Krengli, Silvia Gallo, Andrea Schimmenti, Tommaso Daffara, Raffaella Landi, Paola Savoia, Giulia Francesca Manfredi, Valentina Giai Via, Michela Beltrame, Eyal Hayden, Enrico Guido Spinoni, Francesca Baorda, Cristina Rigamonti, Alessandro Nuzzo, Mario Malerba, Carla Gramaglia, Rosanna Vaschetto, Massimo Saraceno, Gianluca Avino, Marco G. Mennuni, Daniela Ferrante, Guido Chichino, Danila Azzolina, Alessio Baricich, Veronica Lio, Veronica Vassia, Alberto Pau, Roberto Angilletta, Simona De Vecchi, Antonio Acquaviva, Lorenza Scotti, Francesco Della Corte, Matteo Santagostino, Zeno Falaschi, Bellan, M, Patti, G, Hayden, E, Azzolina, D, Pirisi, M, Acquaviva, A, Aimaretti, G, Aluffi Valletti, P, Angilletta, R, Arioli, R, Avanzi, G, Avino, G, Balbo, P, Baldon, G, Baorda, F, Barbero, E, Baricich, A, Barini, M, Barone-Adesi, F, Battistini, S, Beltrame, M, Bertoli, M, Bertolin, S, Bertolotti, M, Betti, M, Bobbio, F, Boffano, P, Boglione, L, Borre, S, Brucoli, M, Calzaducca, E, Cammarata, E, Cantaluppi, V, Cantello, R, Capponi, A, Carriero, A, Casciaro, F, Castello, L, Ceruti, F, Chichino, G, Chirico, E, Cisari, C, Cittone, M, Colombo, C, Comi, C, Croce, E, Daffara, T, Danna, P, Della Corte, F, De Vecchi, S, Dianzani, U, Di Benedetto, D, Esposto, E, Faggiano, F, Falaschi, Z, Ferrante, D, Ferrero, A, Gagliardi, I, Gaidano, G, Galbiati, A, Gallo, S, Garavelli, P, Gardino, C, Garzaro, M, Gastaldello, M, Gavelli, F, Gennari, A, Giacomini, G, Giacone, I, Giai Via, V, Giolitti, F, Gironi, L, Gramaglia, C, Grisafi, L, Inserra, I, Invernizzi, M, Krengli, M, Labella, E, Landi, I, Landi, R, Leone, I, Lio, V, Lorenzini, L, Maconi, A, Malerba, M, Manfredi, G, Martelli, M, Marzari, L, Marzullo, P, Mennuni, M, Montabone, C, Morosini, U, Mussa, M, Nerici, I, Nuzzo, A, Olivieri, C, Padelli, S, Panella, M, Parisini, A, Pasche, A, Pau, A, Pedrinelli, A, Percivale, I, Re, R, Rigamonti, C, Rizzi, E, Rognoni, A, Roveta, A, Salamina, L, Santagostino, M, Saraceno, M, Savoia, P, Sciarra, M, Schimmenti, A, Scotti, L, Spinoni, E, Smirne, C, Tarantino, V, Tillio, P, Vaschetto, R, Vassia, V, Zagaria, D, Zavattaro, E, Zeppegno, P, Zottarelli, F, and Sainaghi, P

Subjects
Male, COVID-19, Viral infection, Risk factors, lcsh:Medicine, Comorbidity, Sex Factor, 030204 cardiovascular system & hematology, 0302 clinical medicine, Retrospective Studie, Case fatality rate, Pandemic, Age Factor, 030212 general & internal medicine, lcsh:Science, clinical characteristics, Aged, 80 and over, Multidisciplinary, Reverse Transcriptase Polymerase Chain Reaction, Smoking, Age Factors, Middle Aged, Coronavirus disease, Natural history, Survival Rate, Italy, Cohort, Female, Human, medicine.medical_specialty, Article, NO, 03 medical and health sciences, Sex Factors, Internal medicine, medicine, Humans, Pandemics, Survival rate, Retrospective Studies, Aged, business.industry, SARS-CoV-2, Risk Factor, lcsh:R, Retrospective cohort study, Length of Stay, medicine.disease, Obesity, lcsh:Q, Coronavirus disease, clinical characteristics, business
Abstract

Clinical features and natural history of coronavirus disease 2019 (COVID-19) differ widely among different countries and during different phases of the pandemia. Here, we aimed to evaluate the case fatality rate (CFR) and to identify predictors of mortality in a cohort of COVID-19 patients admitted to three hospitals of Northern Italy between March 1 and April 28, 2020. All these patients had a confirmed diagnosis of SARS-CoV-2 infection by molecular methods. During the study period 504/1697 patients died; thus, overall CFR was 29.7%. We looked for predictors of mortality in a subgroup of 486 patients (239 males, 59%; median age 71 years) for whom sufficient clinical data were available at data cut-off. Among the demographic and clinical variables considered, age, a diagnosis of cancer, obesity and current smoking independently predicted mortality. When laboratory data were added to the model in a further subgroup of patients, age, the diagnosis of cancer, and the baseline PaO2/FiO2 ratio were identified as independent predictors of mortality. In conclusion, the CFR of hospitalized patients in Northern Italy during the ascending phase of the COVID-19 pandemic approached 30%. The identification of mortality predictors might contribute to better stratification of individual patient risk.

Published
2020

Catalog

Books, media, physical & digital resources
See catalog results