Mariarosaria Calvello
@policlinicogemelli.it
Respiratory Medicine
Fondazione Policlinico Gemelli
RESEARCH INTERESTS
Respiratory Medicine
Interstitial lung disease
Scopus Publications
Scopus Publications
Matteo Tosato, Riccardo Calvani, Francesca Ciciarello, Vincenzo Galluzzo, Anna Maria Martone, Maria Beatrice Zazzara, Cristina Pais, Giulia Savera, Maria Camprubi Robles, Maria Ramirez,et al.
Springer Science and Business Media LLC
Abstract Background Nutritional status is a critical factor throughout COVID-19 disease course. Malnutrition is associated with poor outcomes in hospitalized COVID-19 patients. Aim To assess the prevalence of malnutrition and identify its associated factors in COVID-19 survivors. Methods Study cohort included 1230 COVID-19 survivors aged 18–86 attending a post-COVID-19 outpatient service. Data on clinical parameters, anthropometry, acute COVID-19 symptoms, lifestyle habits were collected through a comprehensive medical assessment. Malnutrition was assessed according to Global Leadership Initiative on Malnutrition (GLIM) criteria. Results Prevalence of malnutrition was 22% at 4–5 months after acute disease. Participants who were not hospitalized during acute COVID-19 showed a higher frequency of malnutrition compared to those who needed hospitalization (26% versus 19%, p < 0.01). Malnutrition was found in 25% COVID-19 survivors over 65 years of age compared to 21% younger participants (p < 0.01). After multivariable adjustment, the likelihood of being malnourished increased progressively and independently with advancing age (Odds ratio [OR] 1.02; 95% CI 1.01–1.03) and in male participants (OR 5.56; 95% CI 3.53–8.74). Malnutrition was associated with loss of appetite (OR 2.50; 95% CI 1.73–3.62), and dysgeusia (OR 4.05; 95% CI 2.30–7.21) during acute COVID-19. Discussion In the present investigation we showed that malnutrition was highly prevalent in a large cohort of COVID-19 survivors at 4–5 months from acute illness. Conclusions Our findings highlight the need to implement comprehensive nutritional assessment and therapy as an integral part of care for COVID-19 patients.
Maria Beatrice Zazzara, Anna Modoni, Alessandra Bizzarro, Alessandra Lauria, Francesca Ciciarello, Cristina Pais, Vincenzo Galluzzo, Francesco Landi, Matteo Tostato, Francesco Landi,et al.
Springer Science and Business Media LLC
Abstract Background Neurological manifestations of Sars-CoV-2 infection have been described since March 2020 and include both central and peripheral nervous system manifestations. Neurological symptoms, such as headache or persistent loss of smell and taste, have also been documented in COVID-19 long-haulers. Moreover, long lasting fatigue, mild cognitive impairment and sleep disorders appear to be frequent long term neurological manifestations after hospitalization due to COVID-19. Less is known in relation to peripheral nerve injury related to Sars-CoV-2 infection. Case presentation We report the case of a 47-year-old female presenting with a unilateral chest pain radiating to the left arm lasting for more than two months after recovery from Sars-CoV-2 infection. After referral to our post-acute outpatient service for COVID-19 long haulers, she was diagnosed with a unilateral, atypical, pure sensory brachial plexus neuritis potentially related to COVID-19, which occurred during the acute phase of a mild Sars-CoV-2 infection and persisted for months after resolution of the infection. Conclusions We presented a case of atypical Parsonage-Turner syndrome potentially triggered by Sars-CoV-2 infection, with symptoms and repercussion lasting after viral clearance. A direct involvement of the virus remains uncertain, and the physiopathology is unclear. The treatment of COVID-19 and its long-term consequences represents a relatively new challenge for clinicians and health care providers. A multidisciplinary approach to following-up COVID-19 survivors is strongly advised.
Vincenzo Galluzzo, Maria Beatrice Zazzara, Francesca Ciciarello, Giulia Savera, Cristina Pais, Riccardo Calvani, Anna Picca, Emanuele Marzetti, Francesco Landi, Matteo Tosato,et al.
Elsevier BV
M. Kalluri, F. Luppi, A. Vancheri, C. Vancheri, E. Balestro, F. Varone, N. Moğulkoç, G. Cacopardo, E. Bargagli, Elizabeth Renzoni,et al.
Patient-reported outcome measures (PROMs), tools to assess patient self-report of health status, are now increasingly used in research, care and policymaking. While there are two well-developed disease-specific PROMs for interstitial lung diseases (ILD) and idiopathic pulmonary fibrosis (IPF), many unmet and urgent needs remain. In December 2019, 64 international ILD experts convened in Erice, Italy to deliberate on many topics, including PROMs in ILD. This review summarises the history of PROMs in ILD, shortcomings of the existing tools, challenges of development, validation and implementation of their use in clinical trials, and the discussion held during the meeting. Development of disease-specific PROMs for ILD including IPF with robust methodology and validation in concordance with guidance from regulatory authorities have increased user confidence in PROMs. Minimal clinically important difference for bidirectional changes may need to be developed. Cross-cultural validation and linguistic adaptations are necessary in addition to robust psychometric properties for effective PROM use in multinational clinical trials. PROM burden of use should be reduced through appropriate use of digital technologies and computerised adaptive testing. Active patient engagement in all stages from development, testing, choosing and implementation of PROMs can help improve probability of success and further growth.
G. Vetrugno, P. Laurenti, F. Franceschi, F. Foti, F. D'Ambrosio, M. Cicconi, D. L. La Milia, M. Di Pumpo, E. Carini, D. Pascucci,et al.
OBJECTIVE
To develop a deep learning-based decision tree for the primary care setting, to stratify adult patients with confirmed and unconfirmed coronavirus disease 2019 (COVID-19), and to predict the need for hospitalization or home monitoring.
PATIENTS AND METHODS
We performed a retrospective cohort study on data from patients admitted to a COVID hospital in Rome, Italy, between 5 March 2020 and 5 June 2020. A confirmed case was defined as a patient with a positive nasopharyngeal RT-PCR test result, while an unconfirmed case had negative results on repeated swabs. Patients' medical history and clinical, laboratory and radiological findings were collected, and the dataset was used to train a predictive model for COVID-19 severity.
RESULTS
Data of 198 patients were included in the study. Twenty-eight (14.14%) had mild disease, 62 (31.31%) had moderate disease, 64 (32.32%) had severe disease, and 44 (22.22%) had critical disease. The G2 value assessed the contribution of each collected value to decision tree building. On this basis, SpO2 (%) with a cut point at 92 was chosen for the optimal first split. Therefore, the decision tree was built using values maximizing G2 and LogWorth. After the tree was built, the correspondence between inputs and outcomes was validated.
CONCLUSIONS
We developed a machine learning-based tool that is easy to understand and apply. It provides good discrimination in stratifying confirmed and unconfirmed COVID-19 patients with different prognoses in every context. Our tool might allow general practitioners visiting patients at home to decide whether the patient needs to be hospitalized.
Veronica Ojetti, Angela Saviano, Marcello Covino, Nicola Acampora, Eliana Troiani, Francesco Franceschi, Valeria Abbate, Nicola Acampora, Giovanni Addolorato, Fabiana Agostini,et al.
Elsevier BV
M. Luigetti, R. Iorio, A. R. Bentivoglio, L. Tricoli, V. Riso, J. Marotta, C. Piano, G. Primiano, L. Zileri Del Verme, M. R. Lo Monaco,et al.
Wiley
The objective of this study was to assess the neurological manifestations in a series of consecutive severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2)‐positive patients, comparing their frequency with a population hospitalized in the same period for flu/respiratory symptoms, finally not related to SARS‐CoV‐2.
Giacomo Sgalla, Erminia Lo Greco, Mariarosaria Calvello, Francesco Varone, Bruno Iovene, Stefania Cerri, Pierluigi Donatelli, Ada Vancheri, Mauro Pavone, Fabrizio Luppi,et al.
Wiley
A. Cingolani, A. M. Tummolo, G. Montemurro, E. Gremese, L. Larosa, M. C. Cipriani, G. Pasciuto, R. Liperoti, R. Murri, T. Pirronti,et al.
Springer Science and Business Media LLC
Giacomo Sgalla, Anna Rita Larici, Nicoletta Golfi, Mariarosaria Calvello, Alessandra Farchione, Annemilia Del Ciello, Francesco Varone, Bruno Iovene, Riccardo Manfredi, and Luca Richeldi
Springer Science and Business Media LLC
Abstract Background and objectives Evidence of mediastinal Lymph Node Enlargement (LNE) on CT scan is a common finding in idiopathic pulmonary fibrosis (IPF). We sought to investigate whether the involvement of mediastinal lymph nodes is associated with accelerated disease progression, and explored the changes occurring in mediastinal lymph nodes during the radiological follow up of these patients. Methods This retrospective study included IPF patients referred to a single ILD centre in Italy. A consensus-based assessment of mediastinal LNE on chest CT scan was performed by two thoracic radiologists. Kaplan-Meier curves and multivariate Cox proportional hazards regression were used to assess hazard ratios for mortality and disease progression (defined as categorical FVC decline ≥10%). The annualized rates of change in functional parameters for each patient were calculated using mixed linear models. Results The study population consisted of 152 IPF patients, of whom 135 (89%) received antifibrotic treatment for IPF during the study follow up. Patients having evidence of 3 or more enlarged mediastinal lymph nodes on baseline CT scan showed increased rates of mortality (HR 5.03, 95% CI 1.86–13.62, p ≤ 0.001) and significant disease progression (HR 2.99, 95% CI 1.22–7.33, p = 0.17) as compared to patients without LNE, after adjusting for GAP stage. Among 62 patients with LNE who underwent a follow up CT scan of the chest and received antifibrotic treatment, 57 (92%) maintained evidence mediastinal LNE over time. Conclusions Diffuse mediastinal lymph node involvement predicts clinically meaningful functional deterioration in patients with IPF.
Francesco Varone, Bruno Iovene, Giacomo Sgalla, Mariarosaria Calvello, Angelo Calabrese, Anna Rita Larici, and Luca Richeldi
Springer Science and Business Media LLC
Salvatore Rossi, Giacomo Della Marca, Martina Ricci, Alessia Perna, Tommaso F. Nicoletti, Valerio Brunetti, Emiliana Meleo, Mariarosaria Calvello, Antonio Petrucci, Giovanni Antonini,et al.
Elsevier BV
Salvatore Rossi, Giacomo Della Marca, Martina Ricci, Alessia Perna, Tommaso F. Nicoletti, Valerio Brunetti, Emiliana Meleo, Mariarosaria Calvello, Antonio Petrucci, Giovanni Antonini,et al.
Elsevier BV
Mariarosaria Calvello, Maria Chiara Flore, and Luca Richeldi
Informa UK Limited
Leonello Fuso, Francesco Varone, Daniele Magnini, Mariarosaria Calvello, Erminia Lo Greco, and Luca Richeldi
Daedalus Enterprises
Luca Richeldi, Vincent Cottin, Gebhard Würtemberger, Michael Kreuter, Mariarosaria Calvello, and Giacomo Sgalla
American Thoracic Society
Leonello Fuso, Francesco Varone, Daniele Magnini, Mariarosaria Calvello, Erminia Lo Greco, and Luca Richeldi
Daedalus Enterprises
Giacomo Sgalla, Bruno Iovene, Mariarosaria Calvello, Margherita Ori, Francesco Varone, and Luca Richeldi
Springer Science and Business Media LLC
Francesco Varone, Giuliano Montemurro, Francesco Macagno, Mariarosaria Calvello, Emanuele Conte, Enrica Intini, Bruno Iovene, Paolo Maria Leone, Pier-Valerio Mari, and Luca Richeldi
Informa UK Limited
Andrea Smargiassi, Giuliana Pasciuto, Ilaria Pedicelli, Erminia Lo Greco, Mariarosaria Calvello, Riccardo Inchingolo, Gioacchino Schifino, Patrizio Capoluongo, Pasquale Patriciello, Maurizio Manno,et al.
SAGE Publications