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5 results on '"Giacomo Urbinati"'

1. Patisiran for the treatment of patients with p.Ile88Leu hereditary transthyretin amyloidosis: an Italian real-life experience

Author

Giacomo Urbinati, Ilaria Cani, Marco Currò Dossi, Simone Longhi, Samuela Carigi, Christian Gagliardi, Elena Biagini, Nazzareno Galiè, Pietro Cortelli, and Pietro Guaraldi

Subjects
hereditary transthyretin amyloidosis, patisiran, p.Ile88Leu, TTR, familial amyloid polyneuropathy, transthyretin amyloid cardiomyopathy, Neurology. Diseases of the nervous system, RC346-429
Abstract

ObjectivesEvidence on the activity of patisiran therapy in specific subgroups of patients with hereditary transthyretin amyloidosis variant (ATTRv) is still scarce. This prospective real-world study was designed to provide the first in-depth clinical data on the effectiveness of patisiran in patients with ATTRv reporting the p.Ile88Leu variant, the most widespread variant in the Emilia-Romagna regional area, which has been less represented in previous clinical trials.Patients and methodsThis prospective study evaluated all the patients with genetically proven ATTRv (p.Ile88Leu) and polyneuropathy treated with patisiran in the Emilia-Romagna referral centers for ATTRv (Institute of Neurological Sciences in Bologna and Division of Neurology in Rimini) from March 2021 to April 2023. All subjects underwent clinical and neurological evaluations at baseline and after 9–12 months of treatment.ResultsA total of 22 patients were included in the study; the median age was 73 years (IQR: 9), the age at diagnosis was 72 years (IQR: 10), and the disease duration was 1.6 years (IQR: 2.3). We observed stability of all considered neurological and cardiological parameters at 9–12 months after the beginning of patisiran treatment.ConclusionOur findings support the clinical data regarding the effectiveness of patisiran in stabilizing the disease course and extend this activity to the subset of patients with the p.Ile88Leu variant.

Published
2024
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3. Acute stroke-like deficits associated with nonketotic hyperglycemic hyperosmolar state: an illustrative case and systematic review of literature

Author

Simone Rossi, Michele Romoli, Giacomo Urbinati, Matteo Benini, Michele Russo, Lucio D’Anna, Samir Abu-Rumeileh, Simona Sacco, Pietro Querzani, and Matteo Foschi

Subjects
Stroke mimic, Neurology & Neurosurgery, Neurological deficits, Hyperosmolarity, 1103 Clinical Sciences, Dermatology, General Medicine, Syndrome, Stroke, Psychiatry and Mental health, Nonketotic hyperglycemic hyperosmolar state, Glucose, Hyperglycemia, Hemianopsia, Humans, Hyperglycemic Hyperosmolar Nonketotic Coma, Neurology (clinical), 1109 Neurosciences
Abstract

Introduction Nonketotic hyperglycemic hyperosmolar state (NKHHS) is associated with a wide spectrum of neurological syndromes including acute stroke-like deficits. Clinical features and etiology have not been established yet. Methods Here we provide a case illustration and systematic review on non-epileptic acute neurological deficits in NKHSS. The systematic literature search followed PRISMA guidelines and a predefined protocol, including cases of NKHSS with acute stroke-like presentation. Results The database search yielded 18 cases. Hemianopia was the most common clinical presentation (73%), followed by partial or total anterior circulation syndrome (26%). Patients with symptoms of acute anterior circulation infarct were significantly older (69.5 ± 5.1 vs. 52.2 ± 13.9 years; p = 0.03) and showed higher mean glucose levels at the admission vs. those with hemianopia (674.8 ± 197.2 vs. 529.4 ± 190.8 mg/dL; p = 0.16). Brain MRI was performed in 89% of patients, resulting abnormal in 71% of them, especially hemianopic (91%). Subcortical hypointensities in T2-FLAIR MR sequences were present in all the analyzed cases. Cortical DWI hyperintensities were also common (64%). EEG showed diffuse or focal slow wave activity in 68% of patients, especially with visual hallucinations (85%). Neurological symptoms completely resolved in 78% of patients within 6 (IQR 3–10) days, following aggressive treatment and glucose normalization. Conclusions Our results suggest neuronal dysfunction on a metabolic basis as the leading cause of acute neurological deficits in NKHHS. Despite the generally favorable prognosis, prompt identification and aggressive treatment are crucial to avoid irreversible damage. Larger cohort studies are needed to confirm our findings.

Published
2022

4. Development and validation of a prediction model for severe respiratory failure in hospitalized patients with SARS-Cov-2 infection: a multicenter cohort study (PREDI-CO study)

Author

Ciro Fulgaro, Ioannis Tzimas, Luigi Raumer, Marianna Meschiari, Marianna Menozzi, Gabriella Verucchi, Giada Rossini, Filippo Trapani, Giacomo Fornaro, Michela Semprini, Alessandra Cascavilla, Emanuele Campaci, Maddalena Giannella, Luigia Scudeller, Alessandro Zuccotti, Irid Baxhaku, Lucia Angelelli, Eleonora Zamparini, Annalisa Saracino, Alberto Zuppiroli, Cristina Basso, Elisabetta Pierucci, Agostino Rossi, Giulia Santangelo, Paolo Gaibani, Francesco Cristini, Francesca Volpato, Elisa Fronti, Giovanni Guaraldi, Alberto Sarti, Giorgio Legnani, Mattia Neri, Mauro Codeluppi, Adriana Badeanu, Giulio Virgili, Chiara Pironi, Lorenzo Marconi, Sara K. Tedeschi, Vidak Koprivika, Francesco Barchiesi, Luciano Attard, Matteo Rinaldi, Paola Laghetti, Stefano Antonini, Linda Bussini, Caterina Campoli, Giacomo Urbinati, Marco Merli, Nicholas Roncagli, Agnese Pratelli, Elena Rosselli Del Turco, Silvia Rapuano, Luca Guerra, Stefano Ianniruberto, Francesco Dell'Omo, Michele Bartoletti, Livia Pancaldi, Viola Guardigni, Fabio Tumietto, Giuseppe Sasdelli, Vito Marco Ranieri, Flovia Dauti, Giovanni Fasulo, Eugenia Francalanci, Nicola Dentale, Amalia Sanna Passino, Tommaso Zanaboni, Arianna Rubin, Davide Fiore Bavaro, Idina Zavatta, Massimo Puoti, Letizia Pasinelli, Maria Cristina Leoni, Pierluigi Viale, Oana Vatamanu, Elena Piccini, Renato Pascale, Cristina Mussini, Luca Esposito, Simona Coladonato, Alice Gori, Giulia Tesini, Lorenzo Badia, Mara D'Onofrio, Alberto Licci, Enrico Evangelisti, Guido Maria Liuzzi, Giacinto Pizzilli, Nicolò Rossi, Tommaso Tonetti, Marina Tadolini, Zeno Pasquini, Caterina Vocale, Bartoletti M., Giannella M., Scudeller L., Tedeschi S., Rinaldi M., Bussini L., Fornaro G., Pascale R., Pancaldi L., Pasquini Z., Trapani F., Badia L., Campoli C., Tadolini M., Attard L., Puoti M., Merli M., Mussini C., Menozzi M., Meschiari M., Codeluppi M., Barchiesi F., Cristini F., Saracino A., Licci A., Rapuano S., Tonetti T., Gaibani P., Ranieri V.M., Viale P., Raumer L., Guerra L., Tumietto F., Cascavilla A., Zamparini E., Verucchi G., Coladonato S., Rubin A., Ianniruberto S., Francalanci E., Volpato F., Virgili G., Rossi N., Del Turco E.R., Guardigni V., Fasulo G., Dentale N., Fulgaro C., Legnani G., Campaci E., Basso C., Zuppiroli A., Passino A.S., Tesini G., Angelelli L., Badeanu A., Rossi A., Santangelo G., Dauti F., Koprivika V., Roncagli N., Tzimas I., Liuzzi G.M., Baxhaku I., Pasinelli L., Neri M., Zanaboni T., Dell'Omo F., Vatamanu O., Gori A., Zavatta I., Antonini S., Pironi C., Piccini E., Esposito L., Zuccotti A., Urbinati G., Pratelli A., Sarti A., Semprini M., Evangelisti E., D'Onofrio M., Sasdelli G., Pizzilli G., Pierucci E., Rossini G., Vocale C., Marconi L., Leoni M.C., Fronti E., Guaraldi G., Bavaro D., Laghetti P., Bartoletti, M, Giannella, M, Scudeller, L, Tedeschi, S, Rinaldi, M, Bussini, L, Fornaro, G, Pascale, R, Pancaldi, L, Pasquini, Z, Trapani, F, Badia, L, Campoli, C, Tadolini, M, Attard, L, Puoti, M, Merli, M, Mussini, C, Menozzi, M, Meschiari, M, Codeluppi, M, Barchiesi, F, Cristini, F, Saracino, A, Licci, A, Rapuano, S, Tonetti, T, Gaibani, P, Ranieri, V, Viale, P, Raumer, L, Guerra, L, Tumietto, F, Cascavilla, A, Zamparini, E, Verucchi, G, Coladonato, S, Rubin, A, Ianniruberto, S, Francalanci, E, Volpato, F, Virgili, G, Rossi, N, Del Turco, E, Guardigni, V, Fasulo, G, Dentale, N, Fulgaro, C, Legnani, G, Campaci, E, Basso, C, Zuppiroli, A, Passino, A, Tesini, G, Angelelli, L, Badeanu, A, Rossi, A, Santangelo, G, Dauti, F, Koprivika, V, Roncagli, N, Tzimas, I, Liuzzi, G, Baxhaku, I, Pasinelli, L, Neri, M, Zanaboni, T, Dell'Omo, F, Vatamanu, O, Gori, A, Zavatta, I, Antonini, S, Pironi, C, Piccini, E, Esposito, L, Zuccotti, A, Urbinati, G, Pratelli, A, Sarti, A, Semprini, M, Evangelisti, E, D'Onofrio, M, Sasdelli, G, Pizzilli, G, Pierucci, E, Rossini, G, Vocale, C, Marconi, L, Leoni, M, Fronti, E, Guaraldi, G, Bavaro, D, and Laghetti, P

Subjects
0301 basic medicine, Male, Logistic regression, prognostic tool, 0302 clinical medicine, Risk Factors, Positive predicative value, Severe acute respiratory syndrome coronavirus 2, 030212 general & internal medicine, Child, Aged, 80 and over, Framingham Risk Score, Coronavirus disease 2019, Respiratory distress, Lactate dehydrogenase, General Medicine, Middle Aged, Prognosis, Hospitalization, Infectious Diseases, Italy, Child, Preschool, Female, Coronavirus Infections, Respiratory Insufficiency, Cohort study, Microbiology (medical), Adult, medicine.medical_specialty, Respiratory rate, Adolescent, COVID-19, SARS-CoV-2, severe respiratory failure, 030106 microbiology, Pneumonia, Viral, Risk Assessment, Sensitivity and Specificity, Article, 03 medical and health sciences, Betacoronavirus, Young Adult, Age, Internal medicine, medicine, Humans, Obesity, Pandemics, Aged, Retrospective Studies, business.industry, Reproducibility of Results, Retrospective cohort study, Logistic Models, Respiratory failure, Multivariate Analysis, business, C-reactive proteine
Abstract

Objectives: We aimed to develop and validate a risk score to predict severe respiratory failure (SRF) among patients hospitalized with coronavirus disease-2019 (COVID-19). Methods: We performed a multicentre cohort study among hospitalized (>24 hours) patients diagnosed with COVID-19 from 22 February to 3 April 2020, at 11 Italian hospitals. Patients were divided into derivation and validation cohorts according to random sorting of hospitals. SRF was assessed from admission to hospital discharge and was defined as: SpO2 30 breaths/min or respiratory distress. Multivariable logistic regression models were built to identify predictors of SRF, β-coefficients were used to develop a risk score. Trial Registration NCT04316949. Results: We analysed 1113 patients (644 derivation, 469 validation cohort). Mean (±SD) age was 65.7 (±15) years, 704 (63.3%) were male. SRF occurred in 189/644 (29%) and 187/469 (40%) patients in the derivation and validation cohorts, respectively. At multivariate analysis, risk factors for SRF in the derivation cohort assessed at hospitalization were age ≥70 years (OR 2.74; 95% CI 1.66–4.50), obesity (OR 4.62; 95% CI 2.78–7.70), body temperature ≥38°C (OR 1.73; 95% CI 1.30–2.29), respiratory rate ≥22 breaths/min (OR 3.75; 95% CI 2.01–7.01), lymphocytes ≤900 cells/mm3 (OR 2.69; 95% CI 1.60–4.51), creatinine ≥1 mg/dL (OR 2.38; 95% CI 1.59–3.56), C-reactive protein ≥10 mg/dL (OR 5.91; 95% CI 4.88–7.17) and lactate dehydrogenase ≥350 IU/L (OR 2.39; 95% CI 1.11–5.11). Assigning points to each variable, an individual risk score (PREDI-CO score) was obtained. Area under the receiver-operator curve was 0.89 (0.86–0.92). At a score of >3, sensitivity, specificity, and positive and negative predictive values were 71.6% (65%–79%), 89.1% (86%–92%), 74% (67%–80%) and 89% (85%–91%), respectively. PREDI-CO score showed similar prognostic ability in the validation cohort: area under the receiver-operator curve 0.85 (0.81–0.88). At a score of >3, sensitivity, specificity, and positive and negative predictive values were 80% (73%–85%), 76% (70%–81%), 69% (60%–74%) and 85% (80%–89%), respectively. Conclusion: PREDI-CO score can be useful to allocate resources and prioritize treatments during the COVID-19 pandemic.

Published
2020

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