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Start Over Author "Falaschi Z" Topic reverse transcriptase polymerase chain reaction
3 results on '"Falaschi Z"'

1. Chest CT accuracy in diagnosing COVID-19 during the peak of the Italian epidemic: A retrospective correlation with RT-PCR testing and analysis of discordant cases.

Author

Falaschi Z, Danna PSC, Arioli R, Pasché A, Zagaria D, Percivale I, Tricca S, Barini M, Aquilini F, Andreoni S, and Carriero A

Subjects
Adult, COVID-19, Coronavirus Infections diagnostic imaging, Female, Humans, Italy, Lung diagnostic imaging, Male, Middle Aged, Pandemics, Pneumonia, Viral diagnostic imaging, Reproducibility of Results, Retrospective Studies, SARS-CoV-2, Sensitivity and Specificity, Betacoronavirus, Coronavirus Infections diagnosis, Pneumonia, Viral diagnosis, Reverse Transcriptase Polymerase Chain Reaction methods, Tomography, X-Ray Computed methods
Abstract

Objectives: The goal of this study was to assess chest computed tomography (CT) diagnostic accuracy in clinical practice using RT-PCR as standard of reference., Methods: From March 4th to April 9th 2020, during the peak of the Italian COVID-19 epidemic, we enrolled a series of 773 patients that performed both non-contrast chest CT and RT-PCR with a time interval no longer than a week due to suspected SARS-CoV-2 infection. The diagnostic performance of CT was evaluated according to sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and diagnostic accuracy, considering RT-PCR as the reference standard. An analysis on the patients with discrepant CT scan and RT-PCR result and on the patient with both negative tests was performed., Results: RT-PCR testing showed an overall positive rate of 59.8 %. CT sensitivity, specificity, PPV, NPV, and accuracy for SARS-CoV-2 infection were 90.7 % [95 % IC, 87.7%-93.2%], 78.8 % [95 % IC, 73.8-83.2%], 86.4 % [95 % IC, 76.1 %-88.9 %], 85.1 % [95 % IC, 81.0 %-88.4] and 85.9 % [95 % IC 83.2-88.3%], respectively. Twenty-five/66 (37.6 %) patients with positive CT and negative RT-PCR results and 12/245 (4.9 %) patients with both negative tests were nevertheless judged as positive cases by the clinicians based on clinical and epidemiological criteria and consequently treated., Conclusions: In our experience, in a context of high pre-test probability, CT scan shows good sensitivity and a consistently higher specificity for the diagnosis of COVID-19 pneumonia than what reported by previous studies, especially when clinical and epidemiological features are taken into account., (Copyright © 2020 Elsevier B.V. All rights reserved.)

Published
2020
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2. Men and women affected by Sars-CoV-2 pneumonia: same CT features but different outcome.

Author

Percivale, I., Danna, P.S.C., Falaschi, Z., Berardo, S., Gangi, S., Tricca, S., Castello, L.M., Barini, M., Airoldi, C., and Carriero, A.

Subjects
*COMPUTED tomography, *REVERSE transcriptase polymerase chain reaction, *SARS-CoV-2, *COMORBIDITY
Abstract

Aim: To compare the computed tomography (CT) features of Sars-CoV-2 pneumonia between the two sexes and among different age groups.Materials and Methods: Consecutive patients (n=331) who presented to the emergency department and underwent chest CT and reverse transcription polymerase chain reaction (RT-PCR) with a time interval <7 days, which were subsequently found to be consistent with Sars-CoV-2 infection, were enrolled retrospectively. Two experienced radiologists evaluated the images in consensus, recording the number of pulmonary lobes with ground-glass opacities and with consolidation. A CT score was subsequently calculated based on the percentage involvement of each lobe. Clinical symptoms, comorbidities, and level of required hospitalisation were noted. In-hospital mortality was recorded and analysed via the Kaplan-Meier estimator.Results: Males and females had the same age distribution. No statistically significant difference was found in the analysed CT features and in the CT score (p=0.31) between the sexes. More females were affected by two or more comorbidities (17.1% versus 7.5%, p=0.024), all comorbidities except diabetes were more prevalent in females. Women had a higher probability to be discharged home and a lower probability to be admitted to the intensive care unit (ICU; p=0.008), in-hospital mortality was inferior (13.5% versus 22%).Conclusion: Despite more comorbidities, women had lower hospital admission and mortality, which was independent of CT findings between both sexes. [ABSTRACT FROM AUTHOR]

Published
2021
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3. 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

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