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7. Efficacy and adverse events profile of videolaryngoscopy in critically ill patients: subanalysis of the INTUBE study

Author

Anstey, Matthew, Colica, Sandra, Brewster, David, Simpson, Shannon, Regli, Adrian, O'Grady, Ross, Litton, Edward, Ferrier, Janet, Bartholdy, Roland, Tabah, Alexis, Bowen, David, Rowley, Rebecca, Gatward, Jonathan, Alonso, Julio, Varkey, Sneha, Palaniswamy, Vijayanand, Chimunda, Timothy, Reza, Syed T., Hossain, Mozaffer, Islam, Motiul, Hamid, Tarikul, Parotto, Matteo, Ajami, Samareh, Steel, Andrew, Del Sorbo, Lorenzo, Goffi, Alberto, Randall, Ian, Adhikari, Neill K.J., Mehesry, Tasneem H., Vera, Maria M., Bugedo, Guillermo, Labarca, Gonzalo, Silva, Monica, Ma, Wuhua, Li, Yongxing, Wu, Jiayan, Wu, Lun, Radivojević, Renata Curić, Matas, Marijana, Ivančan, Višnja, Pavlek, Mario, Mihaljević, Slobodan, Jumić, Aleksandra, Moguš, Mate, Tucić, Iva, Michalek, Pavel, Flaksa, Marek, Aguirre-Bermeo, Hernan, Tirape-Castro, Hugo, García Aguilera, Maria F., Montenegro, Diana Alvarez, Tutillo, Diego Morocho, Tutillo León, Jose A., Winiszewski, Hadrien, Piton, Gael, Aissaoui, Nadia, Augy, Jean-Loup, Champigneulle, Benoit, Zlotnik, Diane, Muller, Grégoire, Jacquier, Sophie, Hraiech, Sami, Guervilly, Christophe, Plantefeve, Gaetan, Contou, Damien, Ricard, Jean Damien, Besset, Sebastien, Colin, Gwenhael, Pouplet, Caroline, Mirouse, Adrien, Azoulay, Elie, Boissier, Florence, Frat, Jean-Pierre, Mercier, Emmanuelle, Salmon-Gandonnière, Charlotte, Lascarrou, Jean-Baptiste, Martin, Maelle, Ferre, Alexis, Legriel, Stephane, Bruel, Cedric, Philippard, Francois, Zarka, Jonathan, Chemouni, Frank, Hamzaoui, Olfa, Sztrymf, Benjamin, Brunin, Yannick, Pili-Floury, Sébastien, Constantin, Jean-Michel, Godet, Thomas, Maraffi, Tommaso, Dessap, Armand Mekontso, Jozwiak, Mathieu, Marin, Nathalie, Guitton, Christophe, Chudeau, Nicolas, Gros, Alexandre, Boyer, Alexandre, Papandreou, Eleni, Petsiou, Athanasia, Papanikolaou, Metaxia, Kyparissi, Aikaterini, Tileli, Maria, Makris, Alexandros, Tsiftsis, Dimitrios, El-Fellah, Nadia, Karametos, Ilias, Nakou, Evi, Chalkias, Athanasios, Arnaoutoglou, Eleni, Katsoulis, Panagiotis, Pouriki, Sofia, Vagdatli, Kyriaki, Dimitropoulou, Aikaterini, Kothekar, Amol, Baliga, Nishanth, Korula, Sara V., Philip, Sam, Singh, Lalit, Agrawal, Nipun, Jeswani, Deepak, Jeswani, Deepti, Jha, Simant, Singh, Nitesh, Bhattacharyya, Mahuya, Das, Amit, Kuragayala, Swarna D., Kesavarapu, Subba R., Shah, Bhagyesh, Kaushik, Shuchi, Sunil, Nilu, Gnanadurai, Kingsly, Singh, Atul K., Singh, Dinesh K., Khunteta, Sudhir, Gupta, Kulbhusahn, Sanyal, Rhik, Midya, Abhirup, Tyagi, Vijay N., Bendre, Prashant, Prashant, Kumar, Chaurasia, Satish, Mishra, Prasanna, Dash, Sampat, Sundrani, Omprakash, Lalwani, Jaya, Jain, Nikhilesh, Agrawal, Kehari, Ray, Banambar, Meher, Ranjan, Saravanabavan, Lakshmikanthcharan, Munusamy, Satheesh, Gupta, Manish, Ahmad, Meraj, Gopalakrishna, Kadarapura N., Suparna, Bharadwaj, Surath, Manimala R., Munta, Kartik, Jagiasi, Bharat, Srivastava, Anand, Sahu, Samir, Mrinal, Sircar, Kumar, Singh Sujeet, Shah, Mehul, Patel, Mayur, Bamane, Shrirang, Narkhede, Amit, Chawla, Rajesh, Chawla, Aakanksha, Maheshwarappa, Harish Mallapura, Manjunath, Ramya Ballekatte, Rahmani, Lua, Laffey, John G., Rona, Roberto, Benini, Annalisa, Russotto, Vincenzo, Rundo, Annalisa, Luzi, Annalisa, Esposito, Clelia, Nespoli, Moana R., Pradella, Andrea, Lungu, Ramona, Baccari, Laura, Chiumiento, Fernando, Mariano, Karim, Cotoia, Antonella, De Rosa, Silvia, Boni, Elisa, Palmese, Salvatore, Gammaldi, Renato, Spadaro, Savino, Santoro, Lida, Cracchiolo, Andrea N., Palma, Daniela M., Pinciroli, Riccardo, Giovannini, Ilaria, Calamai, Italo, Spina, Rosario, Cappellini, Iacopo, Tutino, Lorenzo, Bellissima, Agrippino, Maugeri, Jessica G., Riva, Ivano, Fabretti, Fabrizio, Brazzi, Luca, Sales, Gabriele, Montrucchio, Giorgia, Orsello, Alberto, Costamagna, Andrea, Canavosio, Federico G., Pelagalli, Lorella, Marcelli, Maria E., Cortegiani, Andrea, Tramarin, Jacopo, Musso, Stefania, Tarantino, Stefano, Di Giacinto, Ida, Licciardi, Anna L., Montini, Luca, De Pascale, Gennaro, Giacomucci, Angelo, Russo, Pierpaolo, Longhini, Federico, Garofalo, Eugenio, Ferluga, Massimo, Moro, Valeria, Cascella, Marco, Di Caprio, Barbara, Di Fenza, Raffaele, Nespoli, Francesca, Bassini, Ospedale E., Muttini, Stefano, Pezzi, Angelo, Elhadi, Muhammed, Ghula, Mohamed, Ahmed, Hazem Abdelkarem, Khaled, Ala, Elhadi, Ahmed, Alhadi, Abdulmueti, Mazlan, Mohd Z., Wan Hassan, Wan Mohd N., Hasan, Shahnaz, Jamaluddin, Muhamad F.H., Samat, Noryani Mohd, Ismail, Muhamad A., Alias, Anita, Hwa, Ngu Pei, Irtiza, Ismail Nahla, Khalidah, Hapiz, Kiok, Lee Chew, Nordin, Norbaniza Mohd, Wan Ismail, Wan N., Ali, Mohd N., Sánchez-Hurtado, Luis, Toledo-Salinas, Otoniel, Landaverde, Antonio, Sosa, Miguel A., Gonzalez, Mayra Martinez, Lopez Nava, Claudia L., San Juan Roman, Nandyelly, Gonzalez, Maria, Espinoza, Missael, González, Daira, Flores, Fernando, Pantoja Leal, Jesus N., Loza Gallardo, Luis R., Young, Paul, Mistry, Ravi, Browne, Alexander, Crone, Petra, Chandwani, Juhi, Hossein, Sazzad, Koul, Salman S., Aman, Rubina, Ali, Syed M., Akhtar, Shazia N., Jankowski, Milosz, Bielanski, Piotr, Mudyna, Wojciech, Franczyk, Pawel, Galkin, Piotr, Skowronski, Lukasz, Gaszynski, Tomasz, Piegat, Mariusz, Catorze, Nuno, Pinto, Marcia, Leonor, Tiago, Fernandes, Marco, Campos, Patricia, Aragão, Irene, Costa, Paulo F., Franco, Daniela G., Basto, Marta, Nogueira, Carla, Cunha, Rui P., Costa, Vasco, Lomivorotov, Vladimir, Nikitenko, Artem, Belsky, Vladislav, Furman, Mikhail, Magomedov, Marat, Baturova, Vera, Karelov, Alexey, Marova, Nadezhda, Almekhlafi, Ghaleb, Alghamdi, Adnan, Maseda, Emilio, Suarez de la Rica, Alejandro, Gonzalez, Jesus Flores, Ruiz, Miryam Pérez, Roca, Oriol, Santafe, Manel, Fernandez, Gemma Goma, Escudero-Acha, Patricia, González-Castro, Alejandro, Agvald-Öhman, Christina, Broman, Lina, Spangfors, Martin, Hannesdottir, Katrin, Persson, Elin, Rosell, Jon, Sperber, Jesper, Ohlsson, Annika, Von Seth, Magnus, Pedrotti, Niccolò, Wahlstrom, Carl, Meirik, Maria, Bandert, Anna, Krog, Ditte, Kuo, Lu-Cheng, Shin, Ming-Hann, Chien, Jung-Yien, Ku, Shih-Chi, Ruan, Sheng-Yuan, Huang, Chun-Kai, Yeh, Yu-Chang, Chao, Anne, Wang, Kuo-Chuan, Chiu, Ching-Tang, Lee, Chien-Chang, Chou, Nai-Kuan, Szakmany, Tamas, Jones, Benjamin, Jones, Laura, Della Torre, Valentina, Sinah, Ayush, Quayle, Alice, Cheetham, Olivia, Syed, Yadullah, Mensah, Kwabena, Edmunds, Christopher, Kaye, Callum T., Bauer, Philippe R., Odeyemi, Yewande E., Nates, Joseph, Laserna, Andres, Mosier, Jarrod, Hypes, Cameron, Gottesman, Eric, Mastroianni, Fiore, Fein, Daniel G., Zhao, Dawn, Fonseca Fuentes, Xavier E., Gallo de Moraes, Alice, Sandefur, Benjamin J., Khan, Akram, Matos, Dubier, Kaufman, David A., Lehr, Andrew, Bigatello, Luca, Bonney, Iwona, Lascarrou, Jean Baptiste, Tassistro, Elena, Antolini, Laura, Bauer, Philippe, Szułdrzyński, Konstanty, Camporota, Luigi, Putensen, Christian, Pelosi, Paolo, Sorbello, Massimiliano, Higgs, Andy, Greif, Robert, Grasselli, Giacomo, Valsecchi, Maria G., Fumagalli, Roberto, Foti, Giuseppe, Caironi, Pietro, Bellani, Giacomo, and Myatra, Sheila N.

Published
2023
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8. Communicating the diagnosis of a hematological neoplastic disease to patients’ minor children: a multicenter prospective study

Author

Manghisi, Beatrice, primary, Borin, Lorenza, additional, Monaco, Maria Rosaria, additional, Sacco, Gaia Giulia Angela, additional, Antolini, Laura, additional, Mantegazza, Raffaele, additional, Barichello, Monica, additional, Mazza, Umberto, additional, Zappasodi, Patrizia, additional, Onida, Francesco, additional, Arcaini, Luca, additional, Cairoli, Roberto, additional, and Gambacorti Passerini, Carlo, additional

Published
2024
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15. Vacuolar Proton-Translocating ATPase May Take Part in the Drug Resistance Phenotype of Glioma Stem Cells

Author

Giambra, Martina, primary, Di Cristofori, Andrea, additional, Raimondo, Francesca, additional, Rigolio, Roberta, additional, Conconi, Donatella, additional, Chiarello, Gaia, additional, Tabano, Silvia Maria, additional, Antolini, Laura, additional, Nicolini, Gabriella, additional, Bua, Miriam, additional, Ferlito, Davide, additional, Carrabba, Giorgio, additional, Giussani, Carlo Giorgio, additional, Lavitrano, Marialuisa, additional, and Bentivegna, Angela, additional

Published
2024
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16. V-ATPase Proton Pump May Take Part to Drug-Resistance Phenotype of Glioma Stem Cells

Author

Giambra, Martina, primary, Di Cristofori, Andrea, additional, Raimondo, Francesca, additional, Rigolio, Roberta, additional, Conconi, Donatella, additional, Chiarello, Gaia, additional, Tabano, Silvia Maria, additional, Antolini, Laura, additional, Nicolini, Gabriella, additional, Bua, Miriam, additional, Ferlito, Davide, additional, Carrabba, Giorgio, additional, Giussani, Carlo Giorgio, additional, Lavitrano, Marialuisa, additional, and Bentivegna, Angela, additional

Published
2024
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17. Trop-2 induces ADAM10-mediated cleavage of E-cadherin and drives EMT-less metastasis in colon cancer

Author

Guerra, Emanuela, Trerotola, Marco, Relli, Valeria, Lattanzio, Rossano, Tripaldi, Romina, Vacca, Giovanna, Ceci, Martina, Boujnah, Khouloud, Garbo, Valeria, Moschella, Antonino, Zappacosta, Romina, Simeone, Pasquale, de Lange, Robert, Weidle, Ulrich H., Rotelli, Maria Teresa, Picciariello, Arcangelo, Depalo, Raffaella, Querzoli, Patrizia, Pedriali, Massimo, Bianchini, Enzo, Angelucci, Domenico, Pizzicannella, Giuseppe, Di Loreto, Carla, Piantelli, Mauro, Antolini, Laura, Sun, Xiao-Feng, Altomare, Donato F., and Alberti, Saverio

Published
2021
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19. Crude incidence in two-phase designs in the presence of competing risks

Author

Rebora, Paola, Antolini, Laura, Glidden, David V, and Valsecchi, Maria Grazia

Subjects
Epidemiology, Public Health, Health Sciences, Hematology, Clinical Research, Rare Diseases, Pediatric, Algorithms, Biomedical Research, Case-Control Studies, Child, Cohort Studies, Computer Simulation, HIV Infections, Humans, Incidence, Leukemia, Myeloid, Acute, Lost to Follow-Up, Outcome Assessment, Health Care, Proportional Hazards Models, Recurrence, Reproducibility of Results, Research Design, Risk Factors, Software, Two-phase design, Competing risks, Crude incidence, Case-control, Case-cohort, Missing data, Subdistribution hazard, Public Health and Health Services, General & Internal Medicine, Public health
Abstract

BackgroundIn many studies, some information might not be available for the whole cohort, some covariates, or even the outcome, might be ascertained in selected subsamples. These studies are part of a broad category termed two-phase studies. Common examples include the nested case-control and the case-cohort designs. For two-phase studies, appropriate weighted survival estimates have been derived; however, no estimator of cumulative incidence accounting for competing events has been proposed. This is relevant in the presence of multiple types of events, where estimation of event type specific quantities are needed for evaluating outcome.MethodsWe develop a non parametric estimator of the cumulative incidence function of events accounting for possible competing events. It handles a general sampling design by weights derived from the sampling probabilities. The variance is derived from the influence function of the subdistribution hazard.ResultsThe proposed method shows good performance in simulations. It is applied to estimate the crude incidence of relapse in childhood acute lymphoblastic leukemia in groups defined by a genotype not available for everyone in a cohort of nearly 2000 patients, where death due to toxicity acted as a competing event. In a second example the aim was to estimate engagement in care of a cohort of HIV patients in resource limited setting, where for some patients the outcome itself was missing due to lost to follow-up. A sampling based approach was used to identify outcome in a subsample of lost patients and to obtain a valid estimate of connection to care.ConclusionsA valid estimator for cumulative incidence of events accounting for competing risks under a general sampling design from an infinite target population is derived.

Published
2016

20. On the Effects of Measurement Error and Misclassification on Clustering Algorithms for Mixed-Type Data

Author

Veronesi, V, ANTOLINI, LAURA, VERONESI, VALENTINA, Veronesi, V, ANTOLINI, LAURA, and VERONESI, VALENTINA

Abstract

Il clustering è una tecnica fondamentale in molte discipline scientifiche, utilizzata nell'analisi di innumerevoli tipi di dati. Il suo obiettivo primario è di suddividere un insieme di dati non etichettato in gruppi distinti e intrinseci, rivelando potenziali strutture sottostanti o segmentando i dati in base all'importanza definita dal ricercatore. Tra l'ampia gamma di tipi di dati che possono essere usati nel clustering, questa tesi si concentra sui dati di tipo misto, caratterizzati dalla presenza simultanea di diverse scale di misurazione all'interno di un singolo set di dati. Esempi di tali dati possono essere tratti dall'ambito medico, dove il record di un paziente potrebbe includere misurazioni numeriche come età o indice di massa corporea, indicatori binari per la presenza o l'assenza di sintomi specifici, dati categorici come il gruppo sanguigno e valori ordinali come la valutazione della gravità del dolore. Sebbene i dati di tipo misto presentino una ricca fonte di informazioni, la loro eterogeneità pone sfide complesse, in particolare nel clustering, dove è cruciale trovare un equilibrio tra questi diversi tipi di dati. In aggiunta alle sfide di usare il clustering su dati di tipo misto, emerge un ulteriore strato di complessità dato dagli errori intrinseci presenti nei dati raccolti nel mondo reale. È un'ipotesi idealistica per gli algoritmi di clustering tradizionali aspettarsi dati senza errori. Fattori come le imperfezioni nella raccolta di dati dovute al ricordo umano o alle inesattezze degli strumenti rendono infatti tali errori ampiamente presenti. Sebbene questi errori di misurazione abbiano il potenziale di influenzare profondamente l'accuratezza dei risultati del clustering, non c'è certezza che i metodi di clustering disponibili e più utilizzati siano robusti rispetto al recupero del cluster quando il modello di dati è nascosto dagli errori, poiché gli algoritmi non sono generalmente testati in queste situazioni. In particolare, l', Clustering is a cornerstone technique in many scientific disciplines, employed in the analysis of myriad data types. Its primary goal is to partition an unlabeled dataset into distinct, intrinsic groupings, revealing potential underlying structures or segmenting data based on researcher-defined significance. The emphasis is therefore on data understanding. Among the wide range of data types that can be clustered, this thesis focuses on mixed-type data, characterized by the simultaneous presence of diverse measurement scales within a singular dataset. Examples of such data can be drawn from healthcare, where a patient's record might encompass numerical measurements such as age or body mass index, binary indicators for the presence or absence of specific symptoms, categorical data like blood type, and ordinal values such as pain severity ratings. While mixed-type data presents a rich reservoir of information, its heterogeneity poses complex challenges, particularly in clustering, where striking a balance among these diverse data types is crucial. Building on the challenges of clustering mixed-type data, an additional layer of complexity arises from the inherent errors present in real-world data collection. It is an idealistic assumption for traditional clustering algorithms to expect error-free data, as the variability inherent in human recall or sensor inaccuracies underscores the ubiquity of such perturbations. While these measurement errors have the potential to profoundly influence the accuracy of clustering results, there is no assurance that the available and most used clustering methods are robust with respect to cluster recovery when the data pattern is hide by errors, since algorithms are not generally tested in these situations. Especially the intersection of measurement errors and mixed-type data clustering remains an underexplored domain. In this thesis, we investigated the relatively uncharted territory of mixed-data clustering in the presence of measurem

Published
2024

21. Vacuolar Proton-Translocating ATPase May Take Part in the Drug Resistance Phenotype of Glioma Stem Cells

Author

Giambra, M, Di Cristofori, A, Raimondo, F, Rigolio, R, Conconi, D, Chiarello, G, Tabano, S, Antolini, L, Nicolini, G, Bua, M, Ferlito, D, Carrabba, G, Giussani, C, Lavitrano, M, Bentivegna, A, Giambra, Martina, Di Cristofori, Andrea, Raimondo, Francesca, Rigolio, Roberta, Conconi, Donatella, Chiarello, Gaia, Tabano, Silvia Maria, Antolini, Laura, Nicolini, Gabriella, Bua, Miriam, Ferlito, Davide, Carrabba, Giorgio, Giussani, Carlo Giorgio, Lavitrano, Marialuisa, Bentivegna, Angela, Giambra, M, Di Cristofori, A, Raimondo, F, Rigolio, R, Conconi, D, Chiarello, G, Tabano, S, Antolini, L, Nicolini, G, Bua, M, Ferlito, D, Carrabba, G, Giussani, C, Lavitrano, M, Bentivegna, A, Giambra, Martina, Di Cristofori, Andrea, Raimondo, Francesca, Rigolio, Roberta, Conconi, Donatella, Chiarello, Gaia, Tabano, Silvia Maria, Antolini, Laura, Nicolini, Gabriella, Bua, Miriam, Ferlito, Davide, Carrabba, Giorgio, Giussani, Carlo Giorgio, Lavitrano, Marialuisa, and Bentivegna, Angela

Abstract

The vacuolar proton-translocating ATPase (V-ATPase) is a transmembrane multi-protein complex fundamental in maintaining a normal intracellular pH. In the tumoral contest, its role is crucial since the metabolism underlying carcinogenesis is mainly based on anaerobic glycolytic reactions. Moreover, neoplastic cells use the V-ATPase to extrude chemotherapy drugs into the extra-cellular compartment as a drug resistance mechanism. In glioblastoma (GBM), the most malignant and incurable primary brain tumor, the expression of this pump is upregulated, making it a new possible therapeutic target. In this work, the bafilomycin A1-induced inhibition of V-ATPase in patient-derived glioma stem cell (GSC) lines was evaluated together with temozolomide, the first-line therapy against GBM. In contrast with previous published data, the proposed treatment did not overcome resistance to the standard therapy. In addition, our data showed that nanomolar dosages of bafilomycin A1 led to the blockage of the autophagy process and cellular necrosis, making the drug unusable in models which are more complex. Nevertheless, the increased expression of V-ATPase following bafilomycin A1 suggests a critical role of the proton pump in GBM stem components, encouraging the search for novel strategies to limit its activity in order to circumvent resistance to conventional therapy.

Published
2024

22. Anti-spike antibody level is associated with the risk of clinical progression among subjects hospitalized with COVID-19 pneumonia: results from a retrospective cohort study

Author

Lapadula, G, Mezzadri, L, Lo Cascio, G, Antolini, L, Malandrin, S, Ranzani, A, Limonta, S, Cavallero, A, Bonfanti, P, Lapadula, Giuseppe, Mezzadri, Luca, Lo Cascio, Giustina, Antolini, Laura, Malandrin, Sergio, Ranzani, Alice, Limonta, Silvia, Cavallero, Annalisa, Bonfanti, Paolo, Lapadula, G, Mezzadri, L, Lo Cascio, G, Antolini, L, Malandrin, S, Ranzani, A, Limonta, S, Cavallero, A, Bonfanti, P, Lapadula, Giuseppe, Mezzadri, Luca, Lo Cascio, Giustina, Antolini, Laura, Malandrin, Sergio, Ranzani, Alice, Limonta, Silvia, Cavallero, Annalisa, and Bonfanti, Paolo

Abstract

Purpose: Antibodies against SARS-CoV-2 spike (anti-S) may confer protection against symptomatic COVID-19. Whether their level predicts progression among those with COVID-19 pneumonia remains unclear. Methods: We conducted a retrospective cohort study to assess predictors of anti-S levels and whether anti-S titer is associated with death or mechanical ventilation (MV). Adults hospitalized for COVID-19 pneumonia between July 2021 and July 2022 were enrolled if anti-S had been measured within 72 h of admission. Predictors of anti-S level were explored using multivariable quantile regression. The association between anti-S levels and 30-day death/MV was investigated via multivariable logistic regression. Analyses were stratified by vaccine status. Results: The median anti-S level was 1370 BAU/ml in 328 vaccinated and 15.5 BAU/ml in 206 unvaccinated individuals. Among the vaccinated, shorter symptom duration (p = 0.001), hematological malignancies (p = 0.002), and immunosuppressive therapy (p = 0.004) were associated with lower anti-S levels. In the unvaccinated group, symptom duration was the only predictor of anti-S levels (p < 0.001). After 30 days, 134 patients experienced death or MV. Among vaccinated individuals, higher anti-S levels correlated significantly with lower death/MV risk (per log2 increase, OR 0.88, 95%CI 0.81-0.97), irrespective of age and solid malignancies. Among unvaccinated, a marginally protective effect was observed (OR 0.86, 95%CI 0.73-1.01), independent of age, immunosuppressive therapy, and diabetes. Adjustment for monoclonal antibody treatment strengthened the association (OR 0.81, 95%CI 0.68-0.96). Conclusion: This study suggests that levels of anti-S antibodies can predict critical or fatal outcomes in COVID-19 pneumonia patients, regardless of vaccination. Whether anti-S Ab could guide risk assessment and vaccination boosting merits further evaluation.

Published
2024

23. The 'Continu-A-mente' project: an interdisciplinary program to promote the continuity of care between hospital and community for people with dementia and their caregivers. Study Protocol

Author

Pozzi, C, Staglianò, A, Ballabio, C, Ponti, C, Bartoli, F, Antolini, L, Ferrara, M, Morandi, A, Cavalli, S, Gitlin, L, Bellelli, G, Pozzi, Christian, Staglianò, Andrea, Ballabio, Claudia, Ponti, Chiara, Bartoli, Federica, Antolini, Laura, Ferrara, Maria, Morandi, Alessandro, Cavalli, Stefano, Gitlin, Laura, Bellelli, Giuseppe, Pozzi, C, Staglianò, A, Ballabio, C, Ponti, C, Bartoli, F, Antolini, L, Ferrara, M, Morandi, A, Cavalli, S, Gitlin, L, Bellelli, G, Pozzi, Christian, Staglianò, Andrea, Ballabio, Claudia, Ponti, Chiara, Bartoli, Federica, Antolini, Laura, Ferrara, Maria, Morandi, Alessandro, Cavalli, Stefano, Gitlin, Laura, and Bellelli, Giuseppe

Abstract

Background: Nonpharmacological approaches are recommended as first-line treatment for the neuropsychiatric symptoms of persons living with dementia. Tailored Activity Program is a non-pharmacological approach which has shown to reduce neuropsychiatric symptoms and functional dependence of persons living with dementia at the community, as well as caregiver’s distress. The aim of the study is to assess the feasibility of a project in which the Tailored Activity Program is delivered partially at an acute hospital ward and partially at the patient's home. Material and Methods: The study is aimed at enrolling 50 dyads (patients/caregivers) from the memory clinic, acute geriatric ward, or short-stay emergency department at the IRCCS San Gerardo dei Tintori, Monza (Italy). Inclusion criteria are: the patient’s clinical diagnosis of dementia, clinically detectable neuropsychiatric symptoms (Neuro Psychiatric Inventory, NPI score >6 in at least one item), the ability to participate in activities of daily living (Katz’s index ≥ 2), the presence of a caregiver (aged ≥ 21 years; minimum 4 hours of daily care), and the willingness of the dyad patient/caregiver to participate in the project. Treatment is delivered both i) in hospital (2 sessions) and ii) at home (6 sessions), including occupational therapy, telemedicine and nursing care provided once a week. The following variables are measured: Neuro Psychiatric Inventory, Time Up and Go Test, Katz’s Index and the level of caregiver’s sense of competence with the Sense of Competence Questionnaire. Data are collected both at baseline, at the end of the treatment, with a follow-up scheduled at 4 months after enrollment. Primary outcome measure is the dyad's retention rate at 4-month follow-up. Secondary outcomes are the reduction in the patient’s frequency and severity of NPS; the improvement in the patient’s Time Up and Go Test score; the improvement in the patient's levels of autonomy and participation in activities of daily

Published
2024

24. Phenotypic profiling of CD34+ cells by advanced flow cytometry improves diagnosis of juvenile myelomonocytic leukemia

Author

Bugarin, Cristina, Antolini, Laura, Buracchi, Chiara, Matarraz, Sergio, Coliva, Tiziana Angela, Van der Velden, Vincent H., Szczepanski, Tomasz, Da Costa, Elaine Sobral, Van der Sluijs, Alita, Novakova, Michaela, Mejstrikova, Ester, Nierkens, Stefan, De Mello, Fabiana Vieira, Fernandez, Paula, Aanei, Carmen, Sędek, Łukasz, Strocchio, Luisa, Masetti, Riccardo, Sainati, Laura, Philippé, Jan, Valsecchi, Maria Grazia, Locatelli, Franco, Van Dongen, Jacques J.M., Biondi, Andrea, Orfao, Alberto, Gaipa, Giuseppe, Bugarin, Cristina, Antolini, Laura, Buracchi, Chiara, Matarraz, Sergio, Coliva, Tiziana Angela, Van der Velden, Vincent H., Szczepanski, Tomasz, Da Costa, Elaine Sobral, Van der Sluijs, Alita, Novakova, Michaela, Mejstrikova, Ester, Nierkens, Stefan, De Mello, Fabiana Vieira, Fernandez, Paula, Aanei, Carmen, Sędek, Łukasz, Strocchio, Luisa, Masetti, Riccardo, Sainati, Laura, Philippé, Jan, Valsecchi, Maria Grazia, Locatelli, Franco, Van Dongen, Jacques J.M., Biondi, Andrea, Orfao, Alberto, and Gaipa, Giuseppe

Abstract

Diagnostic criteria for juvenile myelomonocytic leukemia (JMML) are currently well defined, however in some patients diagnosis still remains a challenge. Flow cytometry is a well established tool for diagnosis and follow-up of hematological malignancies, nevertheless it is not routinely used for JMML diagnosis. Herewith, we characterized the CD34+ hematopoietic precursor cells collected from 31 children with JMML using a combination of standardized EuroFlow antibody panels to assess the ability to discriminate JMML cells from normal/reactive bone marrow cell as controls (n=29) or from cells of children with other hematological diseases mimicking JMML (n=9). CD34+ precursors in JMML showed markedly reduced B-cell and erythroid-committed precursors compared to controls, whereas monocytic and CD7+ lymphoid precursors were significantly expanded. Moreover, aberrant immunophenotypes were consistently present in CD34+ precursors in JMML, while they were virtually absent in controls. Multivariate logistic regression analysis showed that combined assessment of the number of CD34+CD7+ lymphoid precursors and CD34+ aberrant precursors or erythroid precursors had a great potential in discriminating JMMLs versus controls. Importantly our scoring model allowed highly efficient discrimination of truly JMML versus patients with JMML-like diseases. In conclusion, we show for the first time that CD34+ precursors from JMML patients display a unique immunophenotypic profile which might contribute to a fast and accurate diagnosis of JMML worldwide by applying an easy to standardize single eight-color antibody combination.

Published
2024

27. The "Continu-A-mente" project: an interdisciplinary program to promote the continuity of care between hospital and community for people with dementia and their caregivers. Study Protocol.

Author

Pozzi, Christian, primary, Staglianò, Andrea, additional, Ballabio, Claudia, additional, Ponti, Chiara, additional, Bartoli, Federica, additional, Antolini, Laura, additional, Ferrara, Maria, additional, Morandi, Alessandro, additional, Cavalli, Stefano, additional, Gitlin, Laura, additional, and Bellelli, Giuseppe, additional

Published
2024
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31. Outcomes of Elderly Patients with ST-Elevation or Non-ST-Elevation Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention

Author

Morici, Nuccia, Savonitto, Stefano, Ferri, Luca A., Grosseto, Daniele, Bossi, Irene, Sganzerla, Paolo, Tortorella, Giovanni, Cacucci, Michele, Ferrario, Maurizio, Crimi, Gabriele, Murena, Ernesto, Tondi, Stefano, Toso, Anna, Gandolfo, Nicola, Ravera, Amelia, Corrada, Elena, Mariani, Matteo, Di Ascenzo, Leonardo, Petronio, A. Sonia, Cavallini, Claudio, Vitrella, Giancarlo, Antonicelli, Roberto, Piscione, Federico, Rogacka, Renata, Antolini, Laura, Alicandro, Gianfranco, La Vecchia, Carlo, Piatti, Luigi, and De Servi, Stefano

Published
2019
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32. Spontaneous ARIA-like Events in Cerebral Amyloid Angiopathy–Related Inflammation: A Multicenter Prospective Longitudinal Cohort Study

Author

Antolini, Laura, DiFrancesco, Jacopo C., Zedde, Marialuisa, Basso, Gianpaolo, Arighi, Andrea, Shima, Atsushi, Cagnin, Annachiara, Caulo, Massimo, Carare, Roxana O., Charidimou, Andreas, Cirillo, Mario, Di Lazzaro, Vincenzo, Ferrarese, Carlo, Giossi, Alessia, Inzitari, Domenico, Marcon, Michela, Marconi, Roberto, Ihara, Masafumi, Nitrini, Ricardo, Orlandi, Berardino, Padovani, Alessandro, Pascarella, Rosario, Perini, Francesco, Perini, Giulia, Sessa, Maria, Scarpini, Elio, Tagliavini, Fabrizio, Valenti, Raffaella, Vázquez-Costa, Juan Francisco, Villarejo-Galende, Alberto, Hagiwara, Yuta, Ziliotto, Nicole, and Piazza, Fabrizio

Published
2021
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33. Identifying Trauma Patients in Need for Emergency Surgery in the Prehospital Setting: The Prehospital Prediction of In-Hospital Emergency Treatment (PROPHET) Study

Author

Isgrò, Stefano, primary, Giani, Marco, additional, Antolini, Laura, additional, Giudici, Riccardo, additional, Valsecchi, Maria Grazia, additional, Bellani, Giacomo, additional, Chiara, Osvaldo, additional, Bassi, Gabriele, additional, Latronico, Nicola, additional, Cabrini, Luca, additional, Fumagalli, Roberto, additional, Chieregato, Arturo, additional, Sammartano, Fabrizio, additional, Sechi, Giuseppe, additional, Zoli, Alberto, additional, Pagliosa, Andrea, additional, Palo, Alessandra, additional, Valoti, Oliviero, additional, Carlucci, Michele, additional, Benini, Annalisa, additional, and Foti, Giuseppe, additional

Published
2023
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34. Risk of progression in chronic phase‐chronic myeloid leukemia patients eligible for tyrosine kinase inhibitor discontinuation: Final analysis of the TFR‐PRO study

Author

Zambrotta, Giovanni Paolo Maria, primary, Nicolini, Franck E., additional, Assouline, Sarit, additional, Busque, Lambert, additional, Pungolino, Ester, additional, Abruzzese, Elisabetta, additional, Miggiano, Maria Cristina, additional, Elena, Chiara, additional, Alvarez‐Larran, Alberto, additional, Triguero, Ana, additional, Iurlo, Alessandra, additional, Bucelli, Cristina, additional, Cerrano, Marco, additional, Capodanno, Isabella, additional, Lunghi, Francesca, additional, le Coutre, Philipp, additional, Galimberti, Sara, additional, Caocci, Giovanni, additional, Maffioli, Margherita, additional, Stagno, Fabio, additional, Saussele, Susanne, additional, Piazza, Rocco, additional, Druker, Brian J., additional, Fava, Carmen, additional, Guglielmana, Veronica, additional, Colombo, Federica, additional, Antolini, Laura, additional, and Gambacorti‐Passerini, Carlo, additional

Published
2023
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35. Phenotypic profiling of CD34+ cells by advanced flow cytometry improves diagnosis of juvenile myelomonocytic leukemia

Author

Bugarin, Cristina, primary, Antolini, Laura, additional, Buracchi, Chiara, additional, Matarraz, Sergio, additional, Coliva, Tiziana Angela, additional, Van der Velden, Vincent H., additional, Szczepanski, Tomasz, additional, Da Costa, Elaine Sobral, additional, Van der Sluijs, Alita, additional, Novakova, Michaela, additional, Mejstrikova, Ester, additional, Nierkens, Stefan, additional, De Mello, Fabiana Vieira, additional, Fernandez, Paula, additional, Aanei, Carmen, additional, Sędek, Łukasz, additional, Strocchio, Luisa, additional, Masetti, Riccardo, additional, Sainati, Laura, additional, Philippé, Jan, additional, Valsecchi, Maria Grazia, additional, Locatelli, Franco, additional, Van Dongen, Jacques J.M., additional, Biondi, Andrea, additional, Orfao, Alberto, additional, and Gaipa, Giuseppe, additional

Published
2023
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37. Early prone positioning does not improve the outcome of patients with mild pneumonia due to SARS-CoV-2: results from an open-label randomised controlled trial – the EPCoT study

Author

Fezzi, Miriam, primary, Antolini, Laura, additional, Soria, Alessandro, additional, Bisi, Luca, additional, Iannuzzi, Francesca, additional, Sabbatini, Francesca, additional, Rossi, Marianna, additional, Limonta, Silvia, additional, Rugova, Alban, additional, Columpsi, Paola, additional, Squillace, Nicola, additional, Foresti, Sergio, additional, Pollastri, Ester, additional, Valsecchi, Maria Grazia, additional, Migliorino, Guglielmo Marco, additional, Bonfanti, Paolo, additional, and Lapadula, Giuseppe, additional

Published
2023
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38. Data from 3D-Informed Targeting of the Trop-2 Signal-Activation Site Drives Selective Cancer Vulnerability

Author

Guerra, Emanuela, primary, Trerotola, Marco, primary, Relli, Valeria, primary, Lattanzio, Rossano, primary, Tripaldi, Romina, primary, Ceci, Martina, primary, Boujnah, Khouloud, primary, Pantalone, Ludovica, primary, Sacchetti, Andrea, primary, Havas, Kristina M., primary, Simeone, Pasquale, primary, Travali, Nicole, primary, Querzoli, Patrizia, primary, Pedriali, Massimo, primary, Roversi, Pietro, primary, Iezzi, Manuela, primary, Tinari, Nicola, primary, Antolini, Laura, primary, and Alberti, Saverio, primary

Published
2023
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39. Movie S1 from 3D-Informed Targeting of the Trop-2 Signal-Activation Site Drives Selective Cancer Vulnerability

Author

Guerra, Emanuela, primary, Trerotola, Marco, primary, Relli, Valeria, primary, Lattanzio, Rossano, primary, Tripaldi, Romina, primary, Ceci, Martina, primary, Boujnah, Khouloud, primary, Pantalone, Ludovica, primary, Sacchetti, Andrea, primary, Havas, Kristina M., primary, Simeone, Pasquale, primary, Travali, Nicole, primary, Querzoli, Patrizia, primary, Pedriali, Massimo, primary, Roversi, Pietro, primary, Iezzi, Manuela, primary, Tinari, Nicola, primary, Antolini, Laura, primary, and Alberti, Saverio, primary

Published
2023
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40. Supplementary Online Material from 3D-Informed Targeting of the Trop-2 Signal-Activation Site Drives Selective Cancer Vulnerability

Author

Guerra, Emanuela, primary, Trerotola, Marco, primary, Relli, Valeria, primary, Lattanzio, Rossano, primary, Tripaldi, Romina, primary, Ceci, Martina, primary, Boujnah, Khouloud, primary, Pantalone, Ludovica, primary, Sacchetti, Andrea, primary, Havas, Kristina M., primary, Simeone, Pasquale, primary, Travali, Nicole, primary, Querzoli, Patrizia, primary, Pedriali, Massimo, primary, Roversi, Pietro, primary, Iezzi, Manuela, primary, Tinari, Nicola, primary, Antolini, Laura, primary, and Alberti, Saverio, primary

Published
2023
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41. Efficacy and adverse events profile of videolaryngoscopy in critically ill patients: subanalysis of the INTUBE study

Author

Russotto, Vincenzo, primary, Lascarrou, Jean Baptiste, additional, Tassistro, Elena, additional, Parotto, Matteo, additional, Antolini, Laura, additional, Bauer, Philippe, additional, Szułdrzyński, Konstanty, additional, Camporota, Luigi, additional, Putensen, Christian, additional, Pelosi, Paolo, additional, Sorbello, Massimiliano, additional, Higgs, Andy, additional, Greif, Robert, additional, Grasselli, Giacomo, additional, Valsecchi, Maria G., additional, Fumagalli, Roberto, additional, Foti, Giuseppe, additional, Caironi, Pietro, additional, Bellani, Giacomo, additional, Laffey, John G., additional, and Myatra, Sheila N., additional

Published
2023
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46. Supplementary Figure 1 from Axillary Lymph Node Nanometastases Are Prognostic Factors for Disease-Free Survival and Metastatic Relapse in Breast Cancer Patients

Author

Querzoli, Patrizia, primary, Pedriali, Massimo, primary, Rinaldi, Rosa, primary, Lombardi, Anna Rita, primary, Biganzoli, Elia, primary, Boracchi, Patrizia, primary, Ferretti, Stefano, primary, Frasson, Claudia, primary, Zanella, Caterina, primary, Ghisellini, Sara, primary, Ambrogi, Federico, primary, Antolini, Laura, primary, Piantelli, Mauro, primary, Iacobelli, Stefano, primary, Marubini, Ettore, primary, Alberti, Saverio, primary, and Nenci, Italo, primary

Published
2023
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48. 3D-informed targeting of the Trop-2 signal-activation site drives selective cancer vulnerability

Author

Guerra, Emanuela, primary, Trerotola, Marco, additional, Relli, Valeria, additional, Lattanzio, Rossano, additional, Tripaldi, Romina, additional, Ceci, Martina, additional, Boujnah, Khouloud, additional, Pantalone, Ludovica, additional, Sacchetti, Andrea, additional, Havas, Kristina M., additional, Simeone, Pasquale, additional, Travali, Nicole, additional, Querzoli, Patrizia, additional, Pedriali, Massimo, additional, Roversi, Pietro, additional, Iezzi, Manuela, additional, Tinari, Nicola, additional, Antolini, Laura, additional, and Alberti, Saverio, additional

Published
2023
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49. A quantitative MRCP-derived score for medium-term outcome prediction in primary sclerosing cholangitis

Author

Cristoferi, Laura, primary, Porta, Marco, additional, Bernasconi, Davide Paolo, additional, Leonardi, Filippo, additional, Gerussi, Alessio, additional, Mulinacci, Giacomo, additional, Palermo, Andrea, additional, Gallo, Camilla, additional, Scaravaglio, Miki, additional, Stucchi, Eliana, additional, Maino, Cesare, additional, Ippolito, Davide, additional, D'Amato, Daphne, additional, Ferreira, Carlos, additional, Nardi, Alessandra, additional, Banerjee, Rajarshi, additional, Valsecchi, Maria Grazia, additional, Antolini, Laura, additional, Corso, Rocco, additional, Sironi, Sandro, additional, Fagiuoli, Stefano, additional, Invernizzi, Pietro, additional, and Carbone, Marco, additional

Published
2023
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