Davide Farina

Prof. Davide Farina

orcid

Research Focus & Metrics

Academic Career Length

30Years (1997-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 July 2020 in JAMA Cardiology
Verified
Journal Article
Open access
PDF file
RIRiccardo M. Inciardi
Riccardo M. Inciardi
LLLaura Lupi
Laura Lupi
GZGregorio Zaccone
Gregorio Zaccone
LILeonardo Italia
Leonardo Italia
MRMichela Raffo
Michela Raffo
MMMarco I. Metra
Marco I. Metra
The first cases of coronavirus disease 2019 (COVID-19) were reported in December 2019, originating in Wuhan, China,1 with rapid spread worldwide, and COVID-19 became a public health emergency of international concern.2 The pathogen has been identified as a novel enveloped RNA beta-coronavirus and has been named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).3 The clinical course of SARS-CoV-2 infection is mostly characterized by respiratory tract symptoms, including fever, cough, pharyngodynia, fatigue, and complications related to pneumonia and acute respiratory distress syndrome.4

12 April 2022 in Circulation
Verified
Journal Article
Closed access
PDF file
EAEnrico Ammirati
Enrico Ammirati
LLLaura Lupi
Laura Lupi
MPMatteo Palazzini
Matteo Palazzini
NHNicholas S. Hendren
Nicholas S. Hendren
JGJustin L. Grodin
Justin L. Grodin
MMMarco I. Metra
Marco I. Metra
Background: Acute myocarditis (AM) is thought to be a rare cardiovascular complication of COVID-19, although minimal data are available beyond case reports. We aim to report the prevalence, baseline characteristics, in-hospital management, and outcomes for patients with COVID-19–associated AM on the basis of a retrospective cohort from 23 hospitals in the United States and Europe. Methods: A total of 112 patients with suspected AM from 56 963 hospitalized patients with COVID-19 were evaluated between February 1, 2020, and April 30, 2021. Inclusion criteria were hospitalization for COVID-19 and a diagnosis of AM on the basis of endomyocardial biopsy or increased troponin level plus typical signs of AM on cardiac magnetic resonance imaging. We identified 97 patients with possible AM, and among them, 54 patients with definite/probable AM supported by endomyocardial biopsy in 17 (31.5%) patients or magnetic resonance imaging in 50 (92.6%). We analyzed patient characteristics, treatments, and outcomes among all COVID-19–associated AM. Results: AM prevalence among hospitalized patients with COVID-19 was 2.4 per 1000 hospitalizations considering definite/probable and 4.1 per 1000 considering also possible AM. The median age of definite/probable cases was 38 years, and 38.9% were female. On admission, chest pain and dyspnea were the most frequent symptoms (55.5% and 53.7%, respectively). Thirty-one cases (57.4%) occurred in the absence of COVID-19–associated pneumonia. Twenty-one (38.9%) had a fulminant presentation requiring inotropic support or temporary mechanical circulatory support. The composite of in-hospital mortality or temporary mechanical circulatory support occurred in 20.4%. At 120 days, estimated mortality was 6.6%, 15.1% in patients with associated pneumonia versus 0% in patients without pneumonia ( P =0.044). During hospitalization, left ventricular ejection fraction, assessed by echocardiography, improved from a median of 40% on admission to 55% at discharge (n=47; P <0.0001) similarly in patients with or without pneumonia. Corticosteroids were frequently administered (55.5%). Conclusions: AM occurrence is estimated between 2.4 and 4.1 out of 1000 patients hospitalized for COVID-19. The majority of AM occurs in the absence of pneumonia and is often complicated by hemodynamic instability. AM is a rare complication in patients hospitalized for COVID-19, with an outcome that differs on the basis of the presence of concomitant pneumonia.

1 April 2017 in Critical Reviews in Oncology/Hematology
Verified
Journal Article
Closed access
PAPaolo Antonio Ascierto
Paolo Antonio Ascierto
RARemo Accorona
Remo Accorona
GGerardo Botti
Gerardo Botti
DFDavide Farina
Davide Farina
PFPiero Fossati
Piero Fossati
VVVito Vanella
Vito Vanella

1 May 2020 in La radiologia medica
Verified
Journal Article
Open access
PDF file
ABAndrea Borghesi
Andrea Borghesi
AZAngelo Zigliani
Angelo Zigliani
RMRoberto Masciullo
Roberto Masciullo
SGSalvatore Golemi
Salvatore Golemi
PMPatrizia Maculotti
Patrizia Maculotti
RMRoberto Maroldi
Roberto Maroldi
Purpose To improve the risk stratification of patients infected with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), an experimental chest X-ray (CXR) scoring system for quantifying lung abnormalities was introduced in our Diagnostic Imaging Department. The purpose of this study was to retrospectively evaluate correlations between the CXR score and the age or sex of Italian patients infected with SARS-CoV-2. Materials and methods Between March 4, 2020, and March 18, 2020, all CXR reports containing the new scoring system were retrieved. Only hospitalized patients with SARS-CoV-2 infection were enrolled. For each patient, age, sex, and the CXR report containing the highest score were considered for the analysis. Patients were also divided into seven groups according to age. Nonparametric statistical tests were used to examine the relationship between the severity of lung disease and the age or sex. Results 783 Italian patients (532 males and 251 females) with SARS-CoV-2 infection were enrolled. The CXR score was significantly higher in males than in females only in groups aged 50 to 79 years. A significant correlation was observed between the CXR score and age in both males and females. Males aged 50 years or older and females aged 80 years or older with coronavirus disease 2019 showed the highest CXR score (median ≥ 8). Conclusions Males aged 50 years or older and females aged 80 years or older showed the highest risk of developing severe lung disease. Our results may help to identify the highest-risk patients and those who require specific treatment strategies.

1 July 2020 in International Journal of Infectious Diseases
Verified
Journal Article
Open access
ABAndrea Borghesi
Andrea Borghesi
AZAngelo Zigliani
Angelo Zigliani
SGSalvatore Golemi
Salvatore Golemi
NCNicola Carapella
Nicola Carapella
PMPatrizia Maculotti
Patrizia Maculotti
RMRoberto Maroldi
Roberto Maroldi
This study aimed to assess the usefulness of a new chest X-ray scoring system - the Brixia score - to predict the risk of in-hospital mortality in hospitalized patients with coronavirus disease 2019 (COVID-19). Between March 4, 2020 and March 24, 2020, all CXR reports including the Brixia score were retrieved. We enrolled only hospitalized Caucasian patients with COVID-19 for whom the final outcome was available. For each patient, age, sex, underlying comorbidities, immunosuppressive therapies, and the CXR report containing the highest score were considered for analysis. These independent variables were analyzed using a multivariable logistic regression model to extract the predictive factors for in-hospital mortality. 302 Caucasian patients who were hospitalized for COVID-19 were enrolled. In the multivariable logistic regression model, only Brixia score, patient age, and conditions that induced immunosuppression were the significant predictive factors for in-hospital mortality. According to receiver operating characteristic curve analyses, the optimal cutoff values for Brixia score and patient age were 8 points and 71 years, respectively. Three different models that included the Brixia score showed excellent predictive power. Patients with a high Brixia score and at least one other predictive factor had the highest risk of in-hospital death.

21 October 2010 in Head & Neck
Verified
Journal Article
Closed access
PDF file
DLDavide Lombardi
Davide Lombardi
DTDavide Tomenzoli
Davide Tomenzoli
LBLaura Buttà
Laura Buttà
ABAndrea Bizzoni
Andrea Bizzoni
DFDavide Farina
Davide Farina
PNPiero Nicolai
Piero Nicolai