88 results on '"Pitter, G."'
Search Results
2. Survival of Hospitalized COVID-19 Patients in Northern Italy: A Population-Based Cohort Study by the ITA-COVID-19 Network
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Ferroni E, Giorgi Rossi P, Spila Alegiani S, Trifirò G, Pitter G, Leoni O, Cereda D, Marino M, Pellizzari M, Fabiani M, Riccardo F, Sultana J, and Massari M
- Subjects
covid-19 ,survival ,cohort study ,hospitalized patients ,italy ,Infectious and parasitic diseases ,RC109-216 - Abstract
Eliana Ferroni,1 Paolo Giorgi Rossi,2 Stefania Spila Alegiani,3 Gianluca Trifirò,4 Gisella Pitter,1 Olivia Leoni,5 Danilo Cereda,5 Massimiliano Marino,2 Michele Pellizzari,1 Massimo Fabiani,6 Flavia Riccardo,6 Janet Sultana,4 Marco Massari3 On behalf of The ITA-COVID Working Group1Azienda Zero of the Veneto Region, Padua, Italy; 2Azienda Unità Sanitaria Locale – IRCCS, Reggio Emilia, Italy; 3National Center for Drug Research and Evaluation, Istituto Superiore Di Sanità, Rome, Italy; 4Department of Biomedical and Dental Sciences and Morphofunctional Imaging – University of Messina, Messina, Italy; 5Department of Health of Lombardy Region, Milan, Italy; 6Department of Infectious Diseases, Istituto Superiore Di Sanità, Rome, ItalyCorrespondence: Stefania Spila AlegianiIstituto Superiore Di Sanità, Viale Regina Elena, 299, Rome 00161, ItalyTel +39 0649904249Fax +39 0649904248Email stefania.spila@iss.itPaolo Giorgi RossiAzienda Unità Sanitaria Locale – IRCCS, Reggio Emilia, via Amendola 2, Reggio Emilia 42122, ItalyTel +39 0522335490Email paolo.giorgirossi@ausl.re.itIntroduction: COVID-19 case fatality rate in hospitalized patients varies across countries and studies. Reliable estimates, specific for age, sex, and comorbidities, are needed to monitor the epidemic, to compare the outcome in different settings, and to correctly design trials for COVID-19 interventions. The aim of this study was to provide population-based survival curves of hospitalized COVID-19 patients.Materials and Methods: A cohort study was conducted in three areas of Northern Italy, heavily affected by SARS-CoV-2 infection (Lombardy and Veneto Regions, and Reggio Emilia province), using a loco-regional COVID-19 surveillance system, linked to hospital discharge databases. We included all patients testing positive for SARS-CoV-2 RNA by RT-PCR on nasopharyngeal/throat swab samples who were hospitalized from 21 February to 21 April 2020. Kaplan–Meier survival estimates were calculated at 14 and 30 days for death in any setting, stratifying by age, sex, and the Charlson Index.Results: Overall, 42,926 hospitalized COVID-19 patients were identified. Patients’ median age was 69 years (IQR: 57– 79), 62.6% were males, and 6.0% had a Charlson Index ≥ 3. Survival curves showed that 22.0% (95% CI 21.6– 22.4) of patients died within 14 days and 27.6% (95% CI 27.2– 28.1) within 30 days from hospitalization. Survival was higher in younger patients and in females. The negative impact of comorbidities on survival was more pronounced in younger age groups.Conclusion: The high fatality rate observed in the study (28% at 30 days) suggests that studies should focus on death as primary endpoint during a follow-up of at least one month.Keywords: COVID-19, survival, cohort study, hospitalized patients, Italy
- Published
- 2020
3. Tracking the Spread of the BA.2.86 Lineage in Italy Through Wastewater Analysis
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Veneri, C, Brandtner, D, Mancini, P, Bonanno Ferraro, G, Iaconelli, M, Suffredini, E, Petrillo, M, Leoni, G, Paracchini, V, Gawlik, B, Marchini, A, Torlontano, P, Aprea, G, Scattolini, S, Acciari, V, La Bianca, M, Cifarelli, R, Palma, A, Lauria, G, La Vecchia, G, Giordano, V, Cossentino, L, Pennino, F, Lombardi, A, Gentili, L, Angelini, P, Nasci, D, Alborali, G, Formenti, N, Guarneri, F, Fontani, N, Guercio, M, Mariuz, M, Trani, G, Pariani, A, De Lellis, L, Ancona, C, Barca, A, Serio, F, Giorgi, D, Ferrante, I, Capparuccini, V, Scicluna, M, Cersini, A, Pietrella, G, Nicosia, E, Grasselli, E, Izzotti, A, Tomesani, I, Bellisomi, M, Rosatto, S, Ammoni, E, Cereda, D, Bertasi, B, Losio, M, Oliva, D, Castiglioni, S, Schiarea, S, Binda, S, Primache, V, Pellegrinelli, L, Cocuzza, C, Musumeci, R, Bolognini, L, Filippetti, F, Paniccia', M, Briscolini, S, Magi, S, Grucci, A, Colitti, M, Ciccaglione, A, Montanaro, C, Griglio, B, Costa, A, Decastelli, L, Romano, A, Bianchi, M, Carraro, E, Pignata, C, Macrì, M, Bonetta, S, Albano, N, Di Vittorio, G, Mongelli, O, Apollonio, F, Triggiano, F, De Giglio, O, Montagna, M, Palermo, M, Maida, C, Mazzucco, W, Tramuto, F, De Grazia, S, Giammanco, G, Filizzolo, C, Purpari, G, Gucciardi, F, Ferrante, M, Agodi, A, Barchitta, M, Cala', P, Carducci, A, Verani, M, Federigi, I, Macrì, S, Federici, E, Petricciuolo, M, Carnevali, A, Russo, F, Pitter, G, Groppi, V, Rigoli, F, Zampini, M, Baldovin, T, Amoruso, I, Cadonna, M, Postinghel, M, Foladori, P, Zago, L, Stenico, A, Marco, M, Matteo, D, La Rosa, G, Veneri, C., Brandtner, D., Mancini, P., Bonanno Ferraro, G., Iaconelli, M., Suffredini, E., Petrillo, M., Leoni, G., Paracchini, V., Gawlik, B. M., Marchini, A., Torlontano, Paolo, Aprea, Giuseppe, Scattolini, Silvia, Acciari, Vicdalia Aniela, La Bianca, Michele, Cifarelli, Rosa Anna, Palma, Achille, Lauria, Giuseppe, La Vecchia, Giovanna, Giordano, Vincenzo, Cossentino, Luigi, Pennino, Francesca, Lombardi, Annalisa, Gentili, Lisa, Angelini, Paola, Nasci, Daniele, Alborali, Giovanni, Formenti, Nicoletta, Guarneri, Flavia, Fontani, Nadia, Guercio, Marco, Mariuz, Marika, Trani, Gabriella, Pariani, Anna, De Lellis, Laura, Ancona, Carla, Barca, Alessandra, Serio, Flavia, Giorgi, Doriana Antonella, Ferrante, Irene, Capparuccini, Valeria, Scicluna, Maria Teresa, Cersini, Antonella, Pietrella, Gabriele, Nicosia, Elena, Grasselli, Elena, Izzotti, Alberto, Tomesani, Irene, Bellisomi, Marta, Rosatto, Stefano, Ammoni, Emanuela, Cereda, Danilo, Bertasi, Barbara, Losio, Marina Nadia, Oliva, Desdemona, Castiglioni, Sara, Schiarea, Silvia, Binda, Sandro, Primache, Valeria, Pellegrinelli, Laura, Cocuzza, Clementina, Musumeci, Rosario, Bolognini, Luigi, Filippetti, Fabio, Paniccia', Marta, Briscolini, Sara, Magi, Silvia, Grucci, Annalisa, Colitti, Michele, Ciccaglione, Angela, Montanaro, Carmen, Griglio, Bartolomeo, Costa, Angela, Decastelli, Lucia, Romano, Angelo, Bianchi, Manila, Carraro, Elisabetta, Pignata, Cristina, Macrì, Manuela, Bonetta, Silvia, Albano, Nehludoff, Di Vittorio, Giuseppe, Mongelli, Onofrio, Apollonio, Francesca, Triggiano, Francesco, De Giglio, Osvalda, Montagna, Maria Teresa, Palermo, Mario, Maida, Carmelo Massimo, Mazzucco, Walter, Tramuto, Fabio, De Grazia, Simona, Giammanco, Giovanni Maurizio, Filizzolo, Chiara, Purpari, Giuseppa, Gucciardi, Francesca, Ferrante, Margherita, Agodi, Antonella, Barchitta, Martina, Cala', Piergiuseppe, Carducci, Annalaura, Verani, Marco, Federigi, Ileana, Macrì, Salvatore, Federici, Ermanno, Petricciuolo, Maya, Carnevali, Agnese, Russo, Francesca, Pitter, Gisella, Groppi, Vanessa, Rigoli, Franco, Zampini, Marco, Baldovin, Tatjana, Amoruso, Irene, Cadonna, Maria, Postinghel, Mattia, Foladori, Paola, Zago, Lorella, Stenico, Alberta, Marco, Morelli, Matteo, Dossena, La Rosa, G., Veneri, C, Brandtner, D, Mancini, P, Bonanno Ferraro, G, Iaconelli, M, Suffredini, E, Petrillo, M, Leoni, G, Paracchini, V, Gawlik, B, Marchini, A, Torlontano, P, Aprea, G, Scattolini, S, Acciari, V, La Bianca, M, Cifarelli, R, Palma, A, Lauria, G, La Vecchia, G, Giordano, V, Cossentino, L, Pennino, F, Lombardi, A, Gentili, L, Angelini, P, Nasci, D, Alborali, G, Formenti, N, Guarneri, F, Fontani, N, Guercio, M, Mariuz, M, Trani, G, Pariani, A, De Lellis, L, Ancona, C, Barca, A, Serio, F, Giorgi, D, Ferrante, I, Capparuccini, V, Scicluna, M, Cersini, A, Pietrella, G, Nicosia, E, Grasselli, E, Izzotti, A, Tomesani, I, Bellisomi, M, Rosatto, S, Ammoni, E, Cereda, D, Bertasi, B, Losio, M, Oliva, D, Castiglioni, S, Schiarea, S, Binda, S, Primache, V, Pellegrinelli, L, Cocuzza, C, Musumeci, R, Bolognini, L, Filippetti, F, Paniccia', M, Briscolini, S, Magi, S, Grucci, A, Colitti, M, Ciccaglione, A, Montanaro, C, Griglio, B, Costa, A, Decastelli, L, Romano, A, Bianchi, M, Carraro, E, Pignata, C, Macrì, M, Bonetta, S, Albano, N, Di Vittorio, G, Mongelli, O, Apollonio, F, Triggiano, F, De Giglio, O, Montagna, M, Palermo, M, Maida, C, Mazzucco, W, Tramuto, F, De Grazia, S, Giammanco, G, Filizzolo, C, Purpari, G, Gucciardi, F, Ferrante, M, Agodi, A, Barchitta, M, Cala', P, Carducci, A, Verani, M, Federigi, I, Macrì, S, Federici, E, Petricciuolo, M, Carnevali, A, Russo, F, Pitter, G, Groppi, V, Rigoli, F, Zampini, M, Baldovin, T, Amoruso, I, Cadonna, M, Postinghel, M, Foladori, P, Zago, L, Stenico, A, Marco, M, Matteo, D, La Rosa, G, Veneri, C., Brandtner, D., Mancini, P., Bonanno Ferraro, G., Iaconelli, M., Suffredini, E., Petrillo, M., Leoni, G., Paracchini, V., Gawlik, B. M., Marchini, A., Torlontano, Paolo, Aprea, Giuseppe, Scattolini, Silvia, Acciari, Vicdalia Aniela, La Bianca, Michele, Cifarelli, Rosa Anna, Palma, Achille, Lauria, Giuseppe, La Vecchia, Giovanna, Giordano, Vincenzo, Cossentino, Luigi, Pennino, Francesca, Lombardi, Annalisa, Gentili, Lisa, Angelini, Paola, Nasci, Daniele, Alborali, Giovanni, Formenti, Nicoletta, Guarneri, Flavia, Fontani, Nadia, Guercio, Marco, Mariuz, Marika, Trani, Gabriella, Pariani, Anna, De Lellis, Laura, Ancona, Carla, Barca, Alessandra, Serio, Flavia, Giorgi, Doriana Antonella, Ferrante, Irene, Capparuccini, Valeria, Scicluna, Maria Teresa, Cersini, Antonella, Pietrella, Gabriele, Nicosia, Elena, Grasselli, Elena, Izzotti, Alberto, Tomesani, Irene, Bellisomi, Marta, Rosatto, Stefano, Ammoni, Emanuela, Cereda, Danilo, Bertasi, Barbara, Losio, Marina Nadia, Oliva, Desdemona, Castiglioni, Sara, Schiarea, Silvia, Binda, Sandro, Primache, Valeria, Pellegrinelli, Laura, Cocuzza, Clementina, Musumeci, Rosario, Bolognini, Luigi, Filippetti, Fabio, Paniccia', Marta, Briscolini, Sara, Magi, Silvia, Grucci, Annalisa, Colitti, Michele, Ciccaglione, Angela, Montanaro, Carmen, Griglio, Bartolomeo, Costa, Angela, Decastelli, Lucia, Romano, Angelo, Bianchi, Manila, Carraro, Elisabetta, Pignata, Cristina, Macrì, Manuela, Bonetta, Silvia, Albano, Nehludoff, Di Vittorio, Giuseppe, Mongelli, Onofrio, Apollonio, Francesca, Triggiano, Francesco, De Giglio, Osvalda, Montagna, Maria Teresa, Palermo, Mario, Maida, Carmelo Massimo, Mazzucco, Walter, Tramuto, Fabio, De Grazia, Simona, Giammanco, Giovanni Maurizio, Filizzolo, Chiara, Purpari, Giuseppa, Gucciardi, Francesca, Ferrante, Margherita, Agodi, Antonella, Barchitta, Martina, Cala', Piergiuseppe, Carducci, Annalaura, Verani, Marco, Federigi, Ileana, Macrì, Salvatore, Federici, Ermanno, Petricciuolo, Maya, Carnevali, Agnese, Russo, Francesca, Pitter, Gisella, Groppi, Vanessa, Rigoli, Franco, Zampini, Marco, Baldovin, Tatjana, Amoruso, Irene, Cadonna, Maria, Postinghel, Mattia, Foladori, Paola, Zago, Lorella, Stenico, Alberta, Marco, Morelli, Matteo, Dossena, and La Rosa, G.
- Abstract
The emergence of new SARS-CoV-2 variants poses challenges to global surveillance efforts, necessitating swift actions in their detection, evaluation, and management. Among the most recent variants, Omicron BA.2.86 and its sub-lineages have gained attention due to their potential immune evasion properties. This study describes the development of a digital PCR assay for the rapid detection of BA.2.86 and its descendant lineages, in wastewater samples. By using this assay, we analyzed wastewater samples collected in Italy from September 2023 to January 2024. Our analysis revealed the presence of BA.2.86 lineages already in October 2023 with a minimal detection rate of 2% which then rapidly increased, becoming dominant by January 2024, accounting for a prevalence of 62%. The findings emphasize the significance of wastewater-based surveillance in tracking emerging variants and underscore the efficacy of targeted digital PCR assays for environmental monitoring.
- Published
- 2024
4. The rapid spread of SARS-COV-2 Omicron variant in Italy reflected early through wastewater surveillance
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La Rosa, G, Iaconelli, M, Veneri, C, Mancini, P, Bonanno Ferraro, G, Brandtner, D, Lucentini, L, Bonadonna, L, Rossi, M, Grigioni, M, Suffredini, E, Bucciarelli, G, Torlontano, P, Aprea, G, La Bianca, M, Cifarelli, R, Palma, A, La Vecchia, G, Lauria, G, Brienza, R, Montenegro, P, D'Argenzio, A, Cossentino, L, Olivares, R, Pizzolante, A, Fusco, G, Tosco, A, Porta, A, Pennino, F, Maria, T, Angelini, P, De Lellis, L, Nasci, D, Alborali, G, Formenti, N, Guarneri, F, Fontani, N, Nani, G, Palumbo, F, Borlone, G, Guercio, M, Gentili, L, Mariuz, M, Trani, G, Pariani, A, Ancona, C, Giorgi, D, Ferrante, I, Monfrinotti, M, Riosa, S, Capparuccini, V, Scicluna, M, Cersini, A, Arizzi, M, Cecchini, G, Ottaviano, C, Nicosia, E, Grasselli, E, Allaria, G, Izzotti, A, Rosatto, S, Ammoni, E, Cereda, D, Losio, M, Bertasi, B, Aliscioni, A, Oliva, D, Castiglioni, S, Schiarea, S, Zuccato, E, Antonelli, M, Azzellino, A, Malpei, F, Turolla, A, Binda, S, Laura, P, Primache, V, Cocuzza, C, Franzetti, A, Bertanza, G, Callegari, M, Bolognini, L, Filippetti, F, Paniccia', M, Ciuti, F, Briscolini, S, Magi, S, Colitti, M, Montanaro, C, Cerroni, M, Griglio, B, Berruti, R, Cravero, M, Costa, A, Bianchi, M, Decastelli, L, Romano, A, Zuccon, F, Carraro, E, Pignata, C, Bonetta, S, Di Vittorio, G, Mongelli, O, De Giglio, O, Apollonio, F, Triggiano, F, Montagna, M, Ungaro, N, Palermo, M, Maida, C, Mazzucco, W, De Grazia, S, Giammanco, G, Purpari, G, Ferrante, M, Agodi, A, Barchitta, M, Cala', P, Carducci, A, Verani, M, Federigi, I, Lauretani, G, Muzio, S, Ramazzotti, M, Antonelli, A, Ricci, E, Santoro, G, Federici, E, Petricciuolo, M, Barigelli, S, Ruffier, M, Borney, F, Grange, E, Damasco, F, Russo, F, Pitter, G, Groppi, V, Rigoli, F, Zampini, M, Baldovin, T, Amoruso, I, Mengon, E, Cadonna, M, Postinghel, M, Pizzo, F, Schiavuzzi, A, Cutrupi, F, Foladori, P, Manara, S, Zago, L, Stenico, A, Prast, A, La Rosa G., Iaconelli M., Veneri C., Mancini P., Bonanno Ferraro G., Brandtner D., Lucentini L., Bonadonna L., Rossi M., Grigioni M., Suffredini E., Bucciarelli G., Torlontano P., Aprea G., La Bianca M., Cifarelli R. A., Palma A., La Vecchia G., Lauria G., Brienza R., Montenegro P., D'Argenzio A., Cossentino L., Olivares R., Pizzolante A., Fusco G., Tosco A., Porta A., Pennino F., Maria T., Angelini P., De Lellis L., Nasci D., Alborali G., Formenti N., Guarneri F., Fontani N., Nani G., Palumbo F., Borlone G., Guercio M., Gentili L., Mariuz M., Trani G., Pariani A., Ancona C., Giorgi D. A., Ferrante I., Monfrinotti M., Riosa S., Capparuccini V., Scicluna M. T., Cersini A., Arizzi M., Cecchini G., Ottaviano C., Nicosia E., Grasselli E., Allaria G., Izzotti A., Rosatto S., Ammoni E., Cereda D., Losio M. N., Bertasi B., Aliscioni A., Oliva D., Castiglioni S., Schiarea S., Zuccato E., Antonelli M., Azzellino A., Malpei F., Turolla A., Binda S., Laura P., Primache V., Cocuzza C., Franzetti A., Bertanza G., Callegari M. L., Bolognini L., Filippetti F., Paniccia' M., Ciuti F., Briscolini S., Magi S., Colitti M., Montanaro C., Cerroni M. G., Griglio B., Berruti R., Cravero M., Costa A., Bianchi M., Decastelli L., Romano A., Zuccon F., Carraro E., Pignata C., Bonetta S., Di Vittorio G., Mongelli O., De Giglio O., Apollonio F., Triggiano F., Montagna M. T., Ungaro N., Palermo M., Maida C. M., Mazzucco W., De Grazia S., Giammanco G., Purpari G., Ferrante M., Agodi A., Barchitta M., Cala' P., Carducci A., Verani M., Federigi I., Lauretani G., Muzio S., Ramazzotti M., Antonelli A., Ricci E., Santoro G., Federici E., Petricciuolo M., Barigelli S., Ruffier M., Borney F., Grange E., Damasco F., Russo F., Pitter G., Groppi V., Rigoli F., Zampini M., Baldovin T., Amoruso I., Mengon E., Cadonna M., Postinghel M., Pizzo F., Schiavuzzi A., Cutrupi F., Foladori P., Manara S., Zago L., Stenico A., Prast A. -M., La Rosa, G, Iaconelli, M, Veneri, C, Mancini, P, Bonanno Ferraro, G, Brandtner, D, Lucentini, L, Bonadonna, L, Rossi, M, Grigioni, M, Suffredini, E, Bucciarelli, G, Torlontano, P, Aprea, G, La Bianca, M, Cifarelli, R, Palma, A, La Vecchia, G, Lauria, G, Brienza, R, Montenegro, P, D'Argenzio, A, Cossentino, L, Olivares, R, Pizzolante, A, Fusco, G, Tosco, A, Porta, A, Pennino, F, Maria, T, Angelini, P, De Lellis, L, Nasci, D, Alborali, G, Formenti, N, Guarneri, F, Fontani, N, Nani, G, Palumbo, F, Borlone, G, Guercio, M, Gentili, L, Mariuz, M, Trani, G, Pariani, A, Ancona, C, Giorgi, D, Ferrante, I, Monfrinotti, M, Riosa, S, Capparuccini, V, Scicluna, M, Cersini, A, Arizzi, M, Cecchini, G, Ottaviano, C, Nicosia, E, Grasselli, E, Allaria, G, Izzotti, A, Rosatto, S, Ammoni, E, Cereda, D, Losio, M, Bertasi, B, Aliscioni, A, Oliva, D, Castiglioni, S, Schiarea, S, Zuccato, E, Antonelli, M, Azzellino, A, Malpei, F, Turolla, A, Binda, S, Laura, P, Primache, V, Cocuzza, C, Franzetti, A, Bertanza, G, Callegari, M, Bolognini, L, Filippetti, F, Paniccia', M, Ciuti, F, Briscolini, S, Magi, S, Colitti, M, Montanaro, C, Cerroni, M, Griglio, B, Berruti, R, Cravero, M, Costa, A, Bianchi, M, Decastelli, L, Romano, A, Zuccon, F, Carraro, E, Pignata, C, Bonetta, S, Di Vittorio, G, Mongelli, O, De Giglio, O, Apollonio, F, Triggiano, F, Montagna, M, Ungaro, N, Palermo, M, Maida, C, Mazzucco, W, De Grazia, S, Giammanco, G, Purpari, G, Ferrante, M, Agodi, A, Barchitta, M, Cala', P, Carducci, A, Verani, M, Federigi, I, Lauretani, G, Muzio, S, Ramazzotti, M, Antonelli, A, Ricci, E, Santoro, G, Federici, E, Petricciuolo, M, Barigelli, S, Ruffier, M, Borney, F, Grange, E, Damasco, F, Russo, F, Pitter, G, Groppi, V, Rigoli, F, Zampini, M, Baldovin, T, Amoruso, I, Mengon, E, Cadonna, M, Postinghel, M, Pizzo, F, Schiavuzzi, A, Cutrupi, F, Foladori, P, Manara, S, Zago, L, Stenico, A, Prast, A, La Rosa G., Iaconelli M., Veneri C., Mancini P., Bonanno Ferraro G., Brandtner D., Lucentini L., Bonadonna L., Rossi M., Grigioni M., Suffredini E., Bucciarelli G., Torlontano P., Aprea G., La Bianca M., Cifarelli R. A., Palma A., La Vecchia G., Lauria G., Brienza R., Montenegro P., D'Argenzio A., Cossentino L., Olivares R., Pizzolante A., Fusco G., Tosco A., Porta A., Pennino F., Maria T., Angelini P., De Lellis L., Nasci D., Alborali G., Formenti N., Guarneri F., Fontani N., Nani G., Palumbo F., Borlone G., Guercio M., Gentili L., Mariuz M., Trani G., Pariani A., Ancona C., Giorgi D. A., Ferrante I., Monfrinotti M., Riosa S., Capparuccini V., Scicluna M. T., Cersini A., Arizzi M., Cecchini G., Ottaviano C., Nicosia E., Grasselli E., Allaria G., Izzotti A., Rosatto S., Ammoni E., Cereda D., Losio M. N., Bertasi B., Aliscioni A., Oliva D., Castiglioni S., Schiarea S., Zuccato E., Antonelli M., Azzellino A., Malpei F., Turolla A., Binda S., Laura P., Primache V., Cocuzza C., Franzetti A., Bertanza G., Callegari M. L., Bolognini L., Filippetti F., Paniccia' M., Ciuti F., Briscolini S., Magi S., Colitti M., Montanaro C., Cerroni M. G., Griglio B., Berruti R., Cravero M., Costa A., Bianchi M., Decastelli L., Romano A., Zuccon F., Carraro E., Pignata C., Bonetta S., Di Vittorio G., Mongelli O., De Giglio O., Apollonio F., Triggiano F., Montagna M. T., Ungaro N., Palermo M., Maida C. M., Mazzucco W., De Grazia S., Giammanco G., Purpari G., Ferrante M., Agodi A., Barchitta M., Cala' P., Carducci A., Verani M., Federigi I., Lauretani G., Muzio S., Ramazzotti M., Antonelli A., Ricci E., Santoro G., Federici E., Petricciuolo M., Barigelli S., Ruffier M., Borney F., Grange E., Damasco F., Russo F., Pitter G., Groppi V., Rigoli F., Zampini M., Baldovin T., Amoruso I., Mengon E., Cadonna M., Postinghel M., Pizzo F., Schiavuzzi A., Cutrupi F., Foladori P., Manara S., Zago L., Stenico A., and Prast A. -M.
- Abstract
The SARS-CoV-2 Omicron variant emerged in South Africa in November 2021, and has later been identified worldwide, raising serious concerns. A real-time RT-PCR assay was designed for the rapid screening of the Omicron variant, targeting characteristic mutations of the spike gene. The assay was used to test 737 sewage samples collected throughout Italy (19/21 Regions) between 11 November and 25 December 2021, with the aim of assessing the spread of the Omicron variant in the country. Positive samples were also tested with a real-time RT-PCR developed by the European Commission, Joint Research Centre (JRC), and through nested RT-PCR followed by Sanger sequencing. Overall, 115 samples tested positive for Omicron SARS-CoV-2 variant. The first occurrence was detected on 7 December, in Veneto, North Italy. Later on, the variant spread extremely fast in three weeks, with prevalence of positive wastewater samples rising from 1.0% (1/104 samples) in the week 5–11 December, to 17.5% (25/143 samples) in the week 12–18, to 65.9% (89/135 samples) in the week 19–25, in line with the increase in cases of infection with the Omicron variant observed during December in Italy. Similarly, the number of Regions/Autonomous Provinces in which the variant was detected increased from one in the first week, to 11 in the second, and to 17 in the last one. The presence of the Omicron variant was confirmed by the JRC real-time RT-PCR in 79.1% (91/115) of the positive samples, and by Sanger sequencing in 66% (64/97) of PCR amplicons. In conclusion, we designed an RT-qPCR assay capable to detect the Omicron variant, which can be successfully used for the purpose of wastewater-based epidemiology. We also described the history of the introduction and diffusion of the Omicron variant in the Italian population and territory, confirming the effectiveness of sewage monitoring as a powerful surveillance tool.
- Published
- 2022
5. Different approaches to the analysis of causes of death during the COVID-19 epidemic
- Author
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Fedeli, U, Schievano, E, Avossa, F, Pitter, G, Barbiellini Amidei, C, Grande, E, and Grippo, F
- Subjects
Multiple causes of death ,Italy ,COVID-19 ,Mortality ,Cause of Death ,Diabetes Mellitus ,Humans ,Pneumonia ,Epidemics ,Death Certificates - Abstract
The aim of the study is to assess the impact of the COVID-19 pandemic on causes of mortality through multiple methodological approaches.The causes of mortality in the Veneto region (Italy) during the first epidemic wave, March-April 2020, were compared with the corresponding months of the previous two years. Both the underlying cause of death (UCOD), and all diseases reported in the death certificate (multiple causes of death) were investigated; a further analysis was carried out through a simulation where the UCOD was selected after substituting ICD-10 codes for COVID with unspecified pneumonia.Overall 10,222 deaths were registered in March-April 2020, corresponding to a 24% increase compared to the previous two years. COVID-19 was mentioned in 1,444 certificates, and selected as the UCOD in 1,207 deaths. Based on the UCOD, the increases in mortality were observed for COVID and related respiratory conditions, diabetes mellitus, hypertensive heart diseases, cerebrovascular diseases, and ill-defined causes. Multiple causes of death and the simulation analysis demonstrated further increases in mortality related to dementia/Alzheimer and chronic lower respiratory diseases.This first report demonstrates an increase of several causes of death during the pandemic, underlying the need of a continuous surveillance of mortality records through different analytic strategies.
- Published
- 2021
6. OC.01.3 NON-VARICEAL UPPER GASTROINTESTINAL BLEEDING HOSPITALIZATION DURING THE FIRST PHASE OF THE COVID-19 PANDEMIC IN VENETO REGION
- Author
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Germana”, B., primary, Bellio, S., additional, Barbiellini Amidei, C., additional, Capodaglio, G., additional, Avossa, F., additional, Narne, E., additional, Pitter, G., additional, Fedeli, U., additional, Rosa-Rizzotto, E., additional, and Saia, M., additional
- Published
- 2021
- Full Text
- View/download PDF
7. PC.01.11 IMPACT OF COVID-19 PANDEMIC ON COLONOSCOPY AND SURGICAL INTERVENTIONS FOR COLORECTAL CANCER IN VENETO REGION
- Author
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Germana’, B., primary, Bellio, S., additional, Barbiellini Amidei, C., additional, Capodaglio, G., additional, Avossa, F., additional, Narne, E., additional, Pitter, G., additional, Fedeli, U., additional, Zorzi, M., additional, Rosa–Rizzotto, E., additional, Pantalena, M., additional, and Saia, M., additional
- Published
- 2021
- Full Text
- View/download PDF
8. A Systematic Review of Case-Identification Algorithms for 18 Conditions Based on Italian Healthcare Administrative Databases: A Study Protocol
- Author
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Canova, C, Simonato, L, Barbiellini Amidei, C, Baldi, I, Dalla Zuanna, T, Gregori, D, Danieli, S, Buja, A, Lorenzoni, G, Pitter, G, Costa, G, Gnavi, R, Corrao, G, Rea, F, Gini, R, Hyeraci, G, Roberto, G, Spini, A, Lucenteforte, E, Agabiti, N, Davoli, M, Di Domenicantonio, R, Cappai, G, Canova C., Simonato L., Barbiellini Amidei C., Baldi I., Dalla Zuanna T., Gregori D., Danieli S., Buja A., Lorenzoni G., Pitter G., Costa G., Gnavi R., Corrao G., Rea F., Gini R., Hyeraci G., Roberto G., Spini A., Lucenteforte E., Agabiti N., Davoli M., Di Domenicantonio R., Cappai G., Canova, C, Simonato, L, Barbiellini Amidei, C, Baldi, I, Dalla Zuanna, T, Gregori, D, Danieli, S, Buja, A, Lorenzoni, G, Pitter, G, Costa, G, Gnavi, R, Corrao, G, Rea, F, Gini, R, Hyeraci, G, Roberto, G, Spini, A, Lucenteforte, E, Agabiti, N, Davoli, M, Di Domenicantonio, R, Cappai, G, Canova C., Simonato L., Barbiellini Amidei C., Baldi I., Dalla Zuanna T., Gregori D., Danieli S., Buja A., Lorenzoni G., Pitter G., Costa G., Gnavi R., Corrao G., Rea F., Gini R., Hyeraci G., Roberto G., Spini A., Lucenteforte E., Agabiti N., Davoli M., Di Domenicantonio R., and Cappai G.
- Abstract
BACKGROUND: there has been a long-standing, consistent use worldwide of Healthcare Administrative Databases (HADs) for epidemiological purposes, especially to identify acute and chronic health conditions. These databases are able to reflect health-related conditions at a population level through disease-specific case-identification algorithms that combine information coded in multiple HADs. In Italy, in the past 10 years, HAD-based case-identification algorithms have experienced a constant increase, with a significant extension of the spectrum of identifiable diseases. Besides estimating incidence and/or prevalence of diseases, these algorithms have been used to enroll cohorts, monitor quality of care, assess the effect of environmental exposure, and identify health outcomes in analytic studies. Despite the rapid increase in the use of case-identification algorithms, information on their accuracy and misclassification rate is currently unavailable for most conditions. OBJECTIVES: to define a protocol to systematically review algorithms used in Italy in the past 10 years for the identification of several chronic and acute diseases, providing an accessible overview to future users in the Italian and international context. METHODS: PubMed will be searched for original research articles, published between 2007 and 2017, in Italian or English. The search string consists of a combination of free text and MeSH terms with a common part on HADs and a disease-specific part. All identified papers will be screened for eligibility by two independent reviewers. All articles that used/defined an algorithm for the identification of each disease of interest using Italian HADs will be included. Algorithms with exclusive use of death certificates, pathology register, general practitioner or pediatrician data will be excluded. Pertinent papers will be classified according to the objective for which the algorithm was used, and only articles that used algorithms with "primary objectives"
- Published
- 2019
9. The associations between perfluoroalkyl substances and lipid profile in an exposed young adult population in the Veneto Region
- Author
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Canova, C., primary, Barbieri, G., additional, Zare Jeddi, M., additional, Daprà, F., additional, Gion, M., additional, Russo, F., additional, Fletcher, T., additional, and Pitter, G., additional
- Published
- 2020
- Full Text
- View/download PDF
10. Exposure to perfluoroalkyl substances and thyrotropin levels in an exposed young adult population in the Veneto Region
- Author
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Gallo, E., primary, Barbieri, G., additional, Zare Jeddi, M., additional, Daprà, F., additional, Gion, M., additional, Gregori, D., additional, Russo, F., additional, Fletcher, T., additional, Pitter, G., additional, and Canova, C., additional
- Published
- 2020
- Full Text
- View/download PDF
11. Physiologically based pharmacokinetic (PBPK) modeling reliability in human exposure assessment after a perfluoroalkyl substances (PFAS) contamination occurred in northern Italy.
- Author
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Vaccari, L., primary, Ranzi, A., additional, Daprà, F., additional, Pitter, G., additional, Russo, F., additional, Canova, C., additional, Barbieri, G., additional, Jeddi, M.Z., additional, Fletcher, T., additional, and Colacci, A., additional
- Published
- 2020
- Full Text
- View/download PDF
12. Perfluoroalkyl substances and lipid profile in exposed pregnant women in the Veneto Region, Italy
- Author
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Dalla Zuanna, T, primary, Barbieri, G, additional, Pitter, G, additional, Zare Jeddi, M, additional, Daprà, F, additional, Savitz, D, additional, Fabricio, A, additional, Russo, F, additional, Fletcher, T, additional, and Canova, C, additional
- Published
- 2020
- Full Text
- View/download PDF
13. Perfluoroalkyl substances and blood pressure in exposed young population in the Veneto Region, Italy
- Author
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Canova, C, primary, Jare Zeddi, M, additional, Barbieri, G, additional, Gion, M, additional, Daprà, F, additional, Russo, F, additional, Fletcher, T, additional, and Pitter, G, additional
- Published
- 2020
- Full Text
- View/download PDF
14. A Systematic Review of Case-Identification Algorithms for 18 Conditions Based on Italian Healthcare Administrative Databases: A Study Protocol
- Author
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Canova C., Simonato L., Barbiellini Amidei C., Baldi I., Dalla Zuanna T., Gregori D., Danieli S., Buja A., Lorenzoni G., Pitter G., Costa G., Gnavi R., Corrao G., Rea F., Gini R., Hyeraci G., Roberto G., Spini A., Lucenteforte E., Agabiti N., Davoli M., Di Domenicantonio R., Cappai G., Canova, C, Simonato, L, Barbiellini Amidei, C, Baldi, I, Dalla Zuanna, T, Gregori, D, Danieli, S, Buja, A, Lorenzoni, G, Pitter, G, Costa, G, Gnavi, R, Corrao, G, Rea, F, Gini, R, Hyeraci, G, Roberto, G, Spini, A, Lucenteforte, E, Agabiti, N, Davoli, M, Di Domenicantonio, R, and Cappai, G
- Subjects
Databases, Factual ,Italy ,Research Design ,Acute Disease ,Chronic Disease ,Humans ,Algorithms, Healthcare administrative database ,Algorithms ,Health Services Administration ,Systematic Reviews as Topic - Abstract
BACKGROUND: there has been a long-standing, consistent use worldwide of Healthcare Administrative Databases (HADs) for epidemiological purposes, especially to identify acute and chronic health conditions. These databases are able to reflect health-related conditions at a population level through disease-specific case-identification algorithms that combine information coded in multiple HADs. In Italy, in the past 10 years, HAD-based case-identification algorithms have experienced a constant increase, with a significant extension of the spectrum of identifiable diseases. Besides estimating incidence and/or prevalence of diseases, these algorithms have been used to enroll cohorts, monitor quality of care, assess the effect of environmental exposure, and identify health outcomes in analytic studies. Despite the rapid increase in the use of case-identification algorithms, information on their accuracy and misclassification rate is currently unavailable for most conditions. OBJECTIVES: to define a protocol to systematically review algorithms used in Italy in the past 10 years for the identification of several chronic and acute diseases, providing an accessible overview to future users in the Italian and international context. METHODS: PubMed will be searched for original research articles, published between 2007 and 2017, in Italian or English. The search string consists of a combination of free text and MeSH terms with a common part on HADs and a disease-specific part. All identified papers will be screened for eligibility by two independent reviewers. All articles that used/defined an algorithm for the identification of each disease of interest using Italian HADs will be included. Algorithms with exclusive use of death certificates, pathology register, general practitioner or pediatrician data will be excluded. Pertinent papers will be classified according to the objective for which the algorithm was used, and only articles that used algorithms with "primary objectives" (I disease occurrence; II population/cohort selection; III outcome identification) will be considered for algorithm extraction. The HADs used (hospital discharge records, drug prescriptions, etc.), ICD-9 and ICD-10 codes, ATC classification of drugs, follow-back periods, and age ranges applied by the algorithms will be collected. Further information on specific accuracy measures from external validations, sensitivity analyses, and the contribution of each source will be recorded. This protocol will be applied for 16 different systematic reviews concerning eighteen diseases (Hypothyroidism, Hyperthyroidism, Diabetes mellitus, Type 1 diabetes mellitus, Acute myocardial infarction, Ischemic heart disease, Stroke, Hypertension, Heart failure, Congenital heart anomalies, Parkinson's disease, Multiple sclerosis, Epilepsy, Chronic obstructive pulmonary disease, Asthma, Inflammatory bowel disease, Celiac disease, Chronic kidney failure). CONCLUSION: this protocol defines a standardized approach to extensively examine and compare all experiences of case identification algorithms in Italy, on the 18 abovementioned diseases. The methodology proposed may be applied to other systematic reviews concerning diseases not included in this project, as well as other settings, including international ones. Considering the increasing availability of healthcare data, developing standard criteria to describe and update characteristics of published algorithms would be of great use to enhance awareness in the choice of algorithms and provide a greater comparability of results.
- Published
- 2019
15. 6.2 Comparison of Three Different Doses of ACTH Stimulation During Adrenal Vein Sampling (AVS) in the Work-Up of Primary Aldosteronism
- Author
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Seccia, M., Miotto, D., Mantero, F., Pitter, G., Patalano, A., Pessina, A.C., and Rossi, G.P.
- Published
- 2008
- Full Text
- View/download PDF
16. 5.6 Assessment of the Selectivity and Lateralisation Index for Adrenal Vein Sampling in Primary Aldosteronism
- Author
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Pitter, G., Montemurro, D., Bernante, P., Miotto, D., Pessina, A. C., and Rossi, G. P.
- Published
- 2007
- Full Text
- View/download PDF
17. 5.14 Increased Levels of Autoantibodies Against AT1 Receptor in Conn Syndrome
- Author
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Rossi, E., Regolisti, G., Nicoli, D., Rossi, G. P., Pitter, G., Negro, A., Perazzoli, F., Santi, R., Farnetti, E., and Casali, B.
- Published
- 2007
- Full Text
- View/download PDF
18. 10.18 Vascular Remodelling and Duration of Hypertension Predicts Blood Pressure Response to Adrenalectomy in Aldosterone-Producing Adenoma Patients
- Author
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Rossi, G. P., Bolognesi, M., Rizzoni, D., Piva, A., Porteri, E., Bernante, P., Pitter, G., Agabiti-Rosei, E., and Pessina, A.C.
- Published
- 2007
- Full Text
- View/download PDF
19. Risks of hospitalization and drug consumption associated with Coeliac Disease in a birth cohort study
- Author
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Canova, C, primary, Pitter, G, additional, Ludvigsson, J, additional, Romor, P, additional, Zanier, L, additional, Zanotti, R, additional, and Simonato, L, additional
- Published
- 2015
- Full Text
- View/download PDF
20. Il ruolo del sampling venoso surrenalico nella diagnosi dei sottotipi di iperaldosteronismo primario
- Author
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Vincenzi, M., Rossi, Gianpaolo, Pitter, G., Motta, Raffaella, Feltrin, G., and Miotto, Diego
- Published
- 2010
21. Comparison of three different protocols of ACTH stimulation during adrenal vein sampling for identifying surgically curable subtypes of primary aldosteronism
- Author
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Seccia, TERESA MARIA, Miotto, Diego, DE TONI, R, Pitter, G, Mantero, F, Pessina, ACHILLE CESARE, and Rossi, Gianpaolo
- Published
- 2009
22. Impact of accessory hepatic veins on the selectivity index during adrenal vein sampling for identification of surgically curable primary aldosteronism
- Author
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Rossi, Gianpaolo, Pitter, G, Seccia, TERESA MARIA, Cavasin, N, DE TONI, R, Vincenzi, M, Feltrin, G, Pessina, ACHILLE CESARE, and Miotto, Diego
- Published
- 2009
23. Long-term changes of left ventricular (LV) structure and function after adrenalectomy or medical treatment for primary aldosteronism
- Author
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Rossi, Gianpaolo, P, Cesari, M, Seccia, Mt, Pitter, G, and Pessina, Ac
- Published
- 2008
24. Adrenal vein sampling for identification of surgically curable primary aldosteronism: impact of accessory hepatic veins on the selectivity index
- Author
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Rossi, Gianpaolo, Pitter, G, Seccia, TERESA MARIA, Cavasin, N, DE TONI, R, Vincenzi, M, Pessina, ACHILLE CESARE, Feltrin, G. P., and Miotto, Diego
- Subjects
adrenal gland ,vasoactive intestinal polypeptide (VIP) ,aldosterone secretion ,pituitary adenylate cyclase-activating polypeptide (PACAP) ,vasoactive intestinal polypeptide (VIP), pituitary adenylate cyclase-activating polypeptide (PACAP), PACAP/VIP receptors, adrenal gland, aldosterone secretion, catecholamine secretion ,PACAP/VIP receptors ,catecholamine secretion - Published
- 2008
25. Comparison of three different doses of ACTH during AVS for primary aldosteronism
- Author
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Seccia, TERESA MARIA, Miotto, Diego, Mantero, Franco, Pitter, G, Patalano, A, Pessina, ACHILLE CESARE, and Rossi, Gianpaolo
- Published
- 2008
26. Long-term changes of left ventricular (LV) structure and function after adrenalectomy or medical treatment for primary aldosteronism
- Author
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Cesari, Seccia, TERESA MARIA, Pitter, G, Pessina, ACHILLE CESARE, and Rossi, Gianpaolo
- Published
- 2008
27. Confronto tra 3 differenti dosi di ACTH durante cateterismo delle vene surrenaliche (AVS) nella diagnostica dell’iperaldosteronismo primario
- Author
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Seccia, TERESA MARIA, Miotto, Diego, Mantero, Franco, Pitter, G, Patalano, A, Pessina, ACHILLE CESARE, and Rossi, Gianpaolo
- Published
- 2008
28. Confronto tra 3 differenti dosi di ACTH durante cateterismo delle vene surrenaliche (AVS) nella diagnostica dell’iperaldosteronismo primario. Confronto tra 3 differenti dosi di ACTH durante cateterismo delle vene surrenaliche (AVS) nella diagnostica dell’iperaldosteronismo primario
- Author
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Seccia, TERESA MARIA, Miotto, Diego, Mantero, Franco, Pitter, G, Patalano, A, Pessina, ACHILLE CESARE, and Rossi, Gianpaolo
- Published
- 2008
29. Il rimodellamento vascolare e la durata dell’ipertensione arteriosa predicono la risposta pressoria alla surrenectomia in pazienti con adenoma producenti aldosterone
- Author
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Rossi, G. P., Bolognesi, M., Rizzoni, Damiano, Piva, A., Porteri, Enzo, Bernante, P., Pitter, G., AGABITI ROSEI, Enrico, and Pessina, Achille
- Published
- 2007
30. To stimulate or not to stimulate: is adrenocorticotrophic hormone testing necessary, or not? - round 2 - Reply
- Author
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Rossi, Gianpaolo, P, Pitter, G, and Miotto, Diego
- Subjects
Physiology ,Internal Medicine ,Cardiology and Cardiovascular Medicine - Published
- 2007
31. Expression profile of cell cycle regulators in aldosterone producing adenoma
- Author
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Lenzini, Livia, Giuliani, L, Seccia, TERESA MARIA, Pitter, G, and Rossi, Gianpaolo
- Published
- 2007
32. Association of Maternal Education, Early Infections, and Antibiotic Use With Celiac Disease: A Population-Based Birth Cohort Study in Northeastern Italy
- Author
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Canova, C., primary, Zabeo, V., additional, Pitter, G., additional, Romor, P., additional, Baldovin, T., additional, Zanotti, R., additional, and Simonato, L., additional
- Published
- 2014
- Full Text
- View/download PDF
33. PREVALENCE OF OBSTRUCTIVE SLEEP APNEA SYNDROME IN HYPERTENSIVE PATIENTS REFERRED TO A SPECIALIZED OUTPATIENT CLINIC AND ASSOCIATION WITH PRIMARY ALDOSTERONISM
- Author
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Rossi, G. P., primary, Pitter, G., additional, Gallina, V., additional, Rossitto, G., additional, and Pessina, A. C., additional
- Published
- 2011
- Full Text
- View/download PDF
34. Vascular Remodelling and Duration of Hypertension Predicts Blood Pressure Response to Adrenalectomy in Aldosterone-Producing Adenoma Patients
- Author
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P. Rossi, G, primary, Bolognesi, M, additional, Rizzoni, D, additional, Piva, A, additional, Porteri, E, additional, Bernante, P, additional, Pitter, G, additional, Agabiti-Rosei, E, additional, and C. Pessina, A, additional
- Published
- 2007
- Full Text
- View/download PDF
35. Increased Levels of Autoantibodies Against AT1 Receptor in Conn Syndrome
- Author
-
Rossi, E, primary, Regolisti, G, additional, Nicoli, D, additional, Rossi, G P, additional, Pitter, G, additional, Negro, A, additional, Perazzoli, F, additional, Santi, R, additional, Farnetti, E, additional, and Casali, B, additional
- Published
- 2007
- Full Text
- View/download PDF
36. Assessment of the Selectivity and Lateralisation Index for Adrenal Vein Sampling in Primary Aldosteronism
- Author
-
Pitter, G, primary, Montemurro, D, additional, Bernante, P, additional, Miotto, D, additional, Pessina, A C, additional, and Rossi, G P, additional
- Published
- 2007
- Full Text
- View/download PDF
37. Adrenal vein sampling for primary aldosteronism: the assessment of selectivity and lateralization of aldosterone excess baseline and after adrenocorticotropic hormone (ACTH) stimulation.
- Author
-
Rossi GP, Pitter G, Bernante P, Motta R, Feltrin G, and Miotto D
- Published
- 2008
- Full Text
- View/download PDF
38. PC.01.11 IMPACT OF COVID-19 PANDEMIC ON COLONOSCOPY AND SURGICAL INTERVENTIONS FOR COLORECTAL CANCER IN VENETO REGION.
- Author
-
Germana', B., Bellio, S., Barbiellini Amidei, C., Capodaglio, G., Avossa, F., Narne, E., Pitter, G., Fedeli, U., Zorzi, M., Rosa–Rizzotto, E., Pantalena, M., and Saia, M.
- Published
- 2021
- Full Text
- View/download PDF
39. The rapid spread of SARS-COV-2 Omicron variant in Italy reflected early through wastewater surveillance
- Author
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La Rosa, G., Iaconelli, M., Veneri, C., Mancini, P., Bonanno Ferraro, G., Brandtner, D., Lucentini, L., Bonadonna, L., Rossi, M., Grigioni, M., Suffredini, E., Giuseppe, Bucciarelli, Paolo, Torlontano, Giuseppe, Michele La Bianca, Rosa Anna Cifarelli, Achille, Palma, Giovanna La Vecchia, Giuseppe, Lauria, Rosanna, Brienza, Patrizia, Montenegro, Angelo, D'Argenzio, Luigi, Cossentino, Renato, Olivares, Antonio, Pizzolante, Giovanna, Fusco, Alessandra, Tosco, Amalia, Porta, Francesca, Pennino, Triassi, Maria, Paola, Angelini, Laura De Lellis, Daniele, Nasci, Giovanni, Alborali, Nicoletta, Formenti, Flavia, Guarneri, Nadia, Fontani, Giulia, Nani, Franca, Palumbo, Gianluca, Borlone, Marco, Guercio, Lisa, Gentili, Marika, Mariuz, Gabriella, Trani, Anna, Pariani, Carla, Ancona, Doriana Antonella Giorgi, Irene, Ferrante, Monica, Monfrinotti, Silvia, Riosa, Valeria, Capparuccini, Maria Teresa Scicluna, Antonella, Mariaconcetta, Arizzi, Giancarlo, Cecchini, Claudio, Ottaviano, Elena, Nicosia, Elena, Grasselli, Giorgia, Allaria, Alberto, Izzotti, Stefano, Rosatto, Emanuela, Ammoni, Danilo, Cereda, Marina Nadia Losio, Barbara, Bertasi, Andrea, Aliscioni, Desdemona, Oliva, Sara, Castiglioni, Silvia, Schiarea, Ettore, Zuccato, Manuela, Antonelli, Arianna, Azzellino, Francesca, Malpei, Andrea, Turolla, Sandro, Binda, Pellegrinelli, Laura, Valeria, Primache, Clementina, Cocuzza, Andrea, Franzetti, Giorgio, Bertanza, Maria Luisa Callegari, Luigi, Bolognini, Fabio, Filippetti, Marta, Paniccia, Francesca, Ciuti, Sara, Briscolini, Silvia, Magi, Michele, Colitti, Carmen, Montanaro, Giuseppe, Aprea, Maria Grazia Cerroni, Bartolomeo, Griglio, Renza, Berruti, Mauro, Cravero, Angela, Costa, Manila, Bianchi, Lucia, Decastelli, Angelo, Romano, Fabio, Zuccon, Elisabetta, Carraro, Cristina, Pignata, Silvia, Bonetta, Giuseppe Di Vittorio, Onofrio, Mongelli, Osvalda De Giglio, Francesca, Apollonio, Francesco, Triggiano, Maria Teresa Montagna, Nicola, Ungaro, Mario, Palermo, Carmelo Massimo Maida, Walter, Mazzucco, Simona De Grazia, Giovanni, Giammanco, Giuseppa, Purpari, Margherita, Ferrante, Antonella, Agodi, Martina, Barchitta, Piergiuseppe, Cala’, Carducci, Annalaura, Verani, Marco, Federigi, Ileana, Giulia, Lauretani, Sara, Muzio, Matteo, Ramazzotti, Alberto, Antonelli, Enrica, Ricci, Giovanni, Santoro, Ermanno, Federici, Maya, Petricciuolo, Sofia, Barigelli, Mauro, Ruffier, Francesca, Borney, Eric, Grange, Florida, Damasco, Francesca, Russo, Gisella, Pitter, Vanessa, Groppi, Franco, Rigoli, Marco, Zampini, Tatjana, Baldovin, Irene, Amoruso, Elena, Mengon, Maria, Cadonna, Mattia, Postinghel, Francesco, Pizzo, Alessandra, Schiavuzzi, Francesca, Cutrupi, Paola, Foladori, Serena, Manara, Lorella, Zago, Alberta, Stenico, Anna-Maria, Prast., La Rosa, G, Iaconelli, M, Veneri, C, Mancini, P, Bonanno Ferraro, G, Brandtner, D, Lucentini, L, Bonadonna, L, Rossi, M, Grigioni, M, Suffredini, E, Bucciarelli, G, Torlontano, P, Aprea, G, La Bianca, M, Cifarelli, R, Palma, A, La Vecchia, G, Lauria, G, Brienza, R, Montenegro, P, D'Argenzio, A, Cossentino, L, Olivares, R, Pizzolante, A, Fusco, G, Tosco, A, Porta, A, Pennino, F, Maria, T, Angelini, P, De Lellis, L, Nasci, D, Alborali, G, Formenti, N, Guarneri, F, Fontani, N, Nani, G, Palumbo, F, Borlone, G, Guercio, M, Gentili, L, Mariuz, M, Trani, G, Pariani, A, Ancona, C, Giorgi, D, Ferrante, I, Monfrinotti, M, Riosa, S, Capparuccini, V, Scicluna, M, Cersini, A, Arizzi, M, Cecchini, G, Ottaviano, C, Nicosia, E, Grasselli, E, Allaria, G, Izzotti, A, Rosatto, S, Ammoni, E, Cereda, D, Losio, M, Bertasi, B, Aliscioni, A, Oliva, D, Castiglioni, S, Schiarea, S, Zuccato, E, Antonelli, M, Azzellino, A, Malpei, F, Turolla, A, Binda, S, Laura, P, Primache, V, Cocuzza, C, Franzetti, A, Bertanza, G, Callegari, M, Bolognini, L, Filippetti, F, Paniccia', M, Ciuti, F, Briscolini, S, Magi, S, Colitti, M, Montanaro, C, Cerroni, M, Griglio, B, Berruti, R, Cravero, M, Costa, A, Bianchi, M, Decastelli, L, Romano, A, Zuccon, F, Carraro, E, Pignata, C, Bonetta, S, Di Vittorio, G, Mongelli, O, De Giglio, O, Apollonio, F, Triggiano, F, Montagna, M, Ungaro, N, Palermo, M, Maida, C, Mazzucco, W, De Grazia, S, Giammanco, G, Purpari, G, Ferrante, M, Agodi, A, Barchitta, M, Cala', P, Carducci, A, Verani, M, Federigi, I, Lauretani, G, Muzio, S, Ramazzotti, M, Antonelli, A, Ricci, E, Santoro, G, Federici, E, Petricciuolo, M, Barigelli, S, Ruffier, M, Borney, F, Grange, E, Damasco, F, Russo, F, Pitter, G, Groppi, V, Rigoli, F, Zampini, M, Baldovin, T, Amoruso, I, Mengon, E, Cadonna, M, Postinghel, M, Pizzo, F, Schiavuzzi, A, Cutrupi, F, Foladori, P, Manara, S, Zago, L, Stenico, A, Prast, A, La Rosa G., Iaconelli M., Veneri C., Mancini P., Bonanno Ferraro G., Brandtner D., Lucentini L., Bonadonna L., Rossi M., Grigioni M., Bucciarelli G., Torlontano P., Aprea G., La Bianca M., Cifarelli R.A., Palma A., La Vecchia G., Lauria G., Brienza R., Montenegro P., D'Argenzio A., Cossentino L., Olivares R., Pizzolante A., Fusco G., Tosco A., Porta A., Pennino F., Maria T., Angelini P., De Lellis L., Nasci D., Alborali G., Formenti N., Guarneri F., Fontani N., Nani G., Palumbo F., Borlone G., Guercio M., Gentili L., Mariuz M., Trani G., Pariani A., Ancona C., Giorgi D.A., Ferrante I., Monfrinotti M., Riosa S., Capparuccini V., Scicluna M.T., Cersini A., Arizzi M., Cecchini G., Ottaviano C., Nicosia E., Grasselli E., Allaria G., Izzotti A., Rosatto S., Ammoni E., Cereda D., Losio M.N., Bertasi B., Aliscioni A., Oliva D., Castiglioni S., Schiarea S., Zuccato E., Antonelli M., Azzellino A., Malpei F., Turolla A., Binda S., Laura P., Primache V., Cocuzza C., Franzetti A., Bertanza G., Callegari M.L., Bolognini L., Filippetti F., Paniccia' M., Ciuti F., Briscolini S., Magi S., Colitti M., Montanaro C., Cerroni M.G., Griglio B., Berruti R., Cravero M., Costa A., Bianchi M., Decastelli L., Romano A., Zuccon F., Carraro E., Pignata C., Bonetta S., Di Vittorio G., Mongelli O., De Giglio O., Apollonio F., Triggiano F., Montagna M.T., Ungaro N., Palermo M., Maida C.M., Mazzucco W., De Grazia S., Giammanco G., Purpari G., Ferrante M., Agodi A., Barchitta M., Cala' P., Carducci A., Verani M., Federigi I., Lauretani G., Muzio S., Ramazzotti M., Antonelli A., Ricci E., Santoro G., Federici E., Petricciuolo M., Barigelli S., Ruffier M., Borney F., Grange E., Damasco F., Russo F., Pitter G., Groppi V., Rigoli F., Zampini M., Baldovin T., Amoruso I., Mengon E., Cadonna M., Postinghel M., Pizzo F., Schiavuzzi A., Cutrupi F., Foladori P., Manara S., Zago L., Stenico A., Prast A.-M., Suffredini E., and Triassi, M
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Omicron ,RT-qPCR ,SARS-CoV-2 ,Sewage ,Variant ,Wastewater-based epidemiology ,Wastewater-Based Epidemiological Monitoring ,Environmental Engineering ,COVID-19 ,Wastewater ,Pollution ,Humans ,RNA, Viral ,Waste Water ,SARS-Cov2 ,Environmental Chemistry ,RNA ,Viral ,wastewater based epidemiology ,Waste Management and Disposal ,Human ,Omicron, RT-qPCR, SARS-CoV-2, Sewage, Variant, Wastewater-based epidemiology - Abstract
The SARS-CoV-2 Omicron variant emerged in South Africa in November 2021, and has later been identified worldwide, raising serious concerns. A real-time RT-PCR assay was designed for the rapid screening of the Omicron variant, targeting characteristic mutations of the spike gene. The assay was used to test 737 sewage samples collected throughout Italy (19/21 Regions) between 11 November and 25 December 2021, with the aim of assessing the spread of the Omicron variant in the country. Positive samples were also tested with a real-time RT-PCR developed by the European Commission, Joint Research Centre (JRC), and through nested RT-PCR followed by Sanger sequencing. Overall, 115 samples tested positive for Omicron SARS-CoV-2 variant. The first occurrence was detected on 7 December, in Veneto, North Italy. Later on, the variant spread extremely fast in three weeks, with prevalence of positive wastewater samples rising from 1.0% (1/104 samples) in the week 5-11 December, to 17.5% (25/143 samples) in the week 12-18, to 65.9% (89/135 samples) in the week 19-25, in line with the increase in cases of infection with the Omicron variant observed during December in Italy. Similarly, the number of Regions/Autonomous Provinces in which the variant was detected increased from one in the first week, to 11 in the second, and to 17 in the last one. The presence of the Omicron variant was confirmed by the JRC real-time RT-PCR in 79.1% (91/115) of the positive samples, and by Sanger sequencing in 66% (64/97) of PCR amplicons. In conclusion, we designed an RT-qPCR assay capable to detect the Omicron variant, which can be successfully used for the purpose of wastewater-based epidemiology. We also described the history of the introduction and diffusion of the Omicron variant in the Italian population and territory, confirming the effectiveness of sewage monitoring as a powerful surveillance tool.
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- 2022
40. PFAS and menopause onset: Is it just a matter of reverse causation? Cross-sectional and longitudinal analyses in highly exposed women in the Veneto Region.
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Berti M, Cavicchio L, Rosato I, Fletcher T, Pitter G, Russo F, Batzella E, and Canova C
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- Humans, Female, Cross-Sectional Studies, Middle Aged, Longitudinal Studies, Adult, Italy epidemiology, Environmental Exposure, Incidence, Prevalence, Aged, Retrospective Studies, Prospective Studies, Fluorocarbons analysis, Menopause, Environmental Pollutants
- Abstract
Introduction: Several cross-sectional studies have linked perfluoroalkyl substances (PFAS) to prevalence of menopause. These findings might be influenced by reverse causation mechanism, making longitudinal studies more suitable. However, existing longitudinal studies are limited and present conflicting results., Aim: This study investigates the association between PFAS and both prevalence and incidence of menopause, using longitudinal designs to limit the impact of reverse causation., Methods: A surveillance program on a PFAS highly exposed population in the Veneto region started in 2017 with two rounds of screening, on average 3.8 years apart. Women who participated in the first screening (n = 11,046) were included in the cross-sectional analysis. Multivariate logistic regression models were used to estimate the Odds Ratios (ORs) of menopause associated with exposure to different PFAS. For incidence analysis a retrospective-prospective design used PFOA concentrations reconstructed to 2013 (n = 8536), and a prospective design involved women participating in both screenings (n = 1709), evaluating their baseline concentrations of PFOA, PFOS, and PFHxS. Cox proportional hazards models with age as the timescale were used to estimate Hazard Ratios (HRs), adjusting for sociodemographic and lifestyle factors., Results: Increased menopause prevalence was associated with higher ln-concentrations of PFOA, PFOS, and PFHxS, with ORs of 1.31 (CI: 1.25-1.38), 1.51 (CI: 1.38-1.66), and 1.42 (CI: 1.34-1.51), respectively. The retrospective-prospective study showed increased risk of menopause in higher PFOA reconstructed quartiles, with HRs of 1.01 (CI: 0.87-1.18), 1.17 (CI: 1.02-1.37), and 1.07 (CI: 0.93-1.23) for the second, third and fourth quartiles. The prospective longitudinal study found no association between PFAS and menopause onset., Conclusions: Our results showed a strong cross-sectional association between PFAS exposure and menopause, a weak positive association in the retrospective-prospective study, and no association in the prospective study. This suggests that cross-sectional associations may largely result from reverse causality due to early menopause on reducing PFAS excretion., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2025
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41. Association of perfluoroalkyl substances (PFAS) with liver function biomarkers in the highly exposed population of the veneto region.
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Rosato I, Batzella E, Pitter G, Russo F, Da Re F, Fletcher T, and Canova C
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- Humans, Male, Female, Adult, Middle Aged, Italy, Young Adult, Aspartate Aminotransferases blood, Aged, Fluorocarbons blood, Fluorocarbons toxicity, Biomarkers blood, Environmental Pollutants blood, Environmental Exposure adverse effects, Liver drug effects, Alanine Transaminase blood
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Introduction: Epidemiological studies highlight the presence of associations between per- and polyfluoroalkyl substances (PFAS) exposure with liver damage. In 2013, PFAS contamination was discovered in Veneto (Italy), leading to the implementation of a Surveillance Program (SP). Our objective is to investigate the association between PFAS exposure and biomarkers of liver function using single-pollutant and mixture approaches, while exploring the sex-specific differences and the mediating role of obesity in the association., Methods: The study included 42,094 subjects aged ≥20 years participating in the SP. We used generalized additive models to investigate the association between several PFAS and alanine aminotransferase (ALT) and aspartate aminotransferase (AST) levels, adjusting for possible confounders and stratifying by sex. Results were back-transformed to show predicted percentage changes in outcomes per ln-unit increase in PFAS levels; furthermore, we explored the role of BMI in the abovementioned causal pathway, considering it as a potential confounder or mediator PFAS joint effect was investigated using Quantile G-computation., Results: One ln-unit increase in PFHxS concentrations was associated with a 1.49% (95%CI: 0.87, 2.12) and a 0.84% (95% CI: 0.27, 1.40) increase in ALT levels, in males and females respectively; one ln-unit increase in PFOA concentrations was associated with a 1.03% (95%CI: 0.50, 1.55) increase in ALT levels in males, and a 0.52% (95% CI: 0.22, 0.82) and a 0.60% (95% CI: 0.25, 0.96) increase in AST levels in females and males. PFOS showed no association with ALT and AST levels. Quantile G-computation revealed that an interquartile increase in the PFAS mixture was associated with a 3.02% increase (95% CI: 1.65, 4.43) and a 1.65% (95% CI: 0.77, 2.5) increase in ALT levels, in females and males. Mediation analysis suggested that BMI suppressed the association between PFAS and ALT levels, with positive direct effects higher than the total effects., Conclusion: Our findings suggest sex-specific associations between PFAS exposure and liver function biomarkers and underscore the need for additional studies on potential mediators., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.)
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- 2024
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42. Decreases in serum PFAS are associated with decreases in serum lipids: A longitudinal study on a highly exposed population.
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Batzella E, Fletcher T, Pitter G, da Re F, Russo F, di Nisio A, and Canova C
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- Humans, Longitudinal Studies, Male, Female, Middle Aged, Adult, Italy, Water Pollutants, Chemical blood, Cross-Sectional Studies, Aged, Alkanesulfonic Acids blood, Young Adult, Fluorocarbons blood, Environmental Exposure statistics & numerical data, Lipids blood
- Abstract
Introduction: Perfluoroalkyl substances (PFAS) are widely used, ubiquitous and highly persistent man-made chemicals. Previous cross-sectional studies have consistently linked PFAS exposure to alterations in lipid profiles. However, longitudinal investigations are preferred to mitigate issues related to reverse causation and confounding. Hence, we aimed to investigate the association between changes in serum PFAS and changes in serum lipids, while shedding light on potential modifiers of the examined relationships., Methods: We used data from a health surveillance program offered to residents of a vast area of the Veneto Region (North-Eastern Italy), who had been exposed to PFAS via contaminated drinking water until 2013. We included subjects aged ≥20 years who provided two blood samples over an average 4-year interval (n = 8101). We examined the relationships between changes in PFOA, PFOS and PFHxS and changes in total cholesterol (TC), high-density lipoprotein cholesterol (HDLC) and low-density lipoprotein cholesterol (LDL-C). Linear models were fitted for change in the natural logarithm (ln) of each lipid in relation to the change in the ln of PFAS. From the estimated regression coefficients, we calculated the predicted percentage change in the response for a ln-decrease in PFAS serum concentrations., Results: Overall concentrations of PFOA, PFOS, PFHxS fell by 62.1 %, 24.4 % and 35.4 % from baseline, while small increases in lipids were observed. Declines in PFAS concentrations were associated with decreases in all lipids. For a ln-decrease in PFOA HDL-C decreased by 1.99 % (95 % CI: 1.28, 2.70), TC by 1.49 % (95 % CI: 0.88, 2.10), and LDL-C by 1.40 % (95 % CI: 0.45, 2.37)., Conclusions: We found a positive association between changes in PFAS concentrations and changes in cholesterol levels, observing the most marked contrasts across sexes and age groups. Our findings support the reversibility of the associations identified in cross-sectional analyses, emphasizing the importance of water treatment measures in mitigating adverse health effects., Competing Interests: Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (Copyright © 2024 The Authors. Published by Elsevier B.V. All rights reserved.)
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- 2024
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43. Response to "Comment on 'Determinants of PFOA Serum Half-Life after End of Exposure: A Longitudinal Study on Highly Exposed Subjects in the Veneto Region'".
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Batzella E, Pitter G, Canova C, and Fletcher T
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- Humans, Half-Life, Longitudinal Studies, Environmental Exposure statistics & numerical data, Italy, Environmental Pollutants blood, Fluorocarbons blood, Caprylates blood
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- 2024
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44. Determinants of PFOA Serum Half-Life after End of Exposure: A Longitudinal Study on Highly Exposed Subjects in the Veneto Region.
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Batzella E, Rosato I, Pitter G, Da Re F, Russo F, Canova C, and Fletcher T
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- Male, Child, Young Adult, Humans, Female, Environmental Exposure analysis, Longitudinal Studies, Half-Life, Caprylates, Drinking Water chemistry, Water Pollutants, Chemical analysis, Alkanesulfonic Acids, Fluorocarbons, Environmental Pollutants
- Abstract
Background: Perfluoroalkyl substances (PFAS) are widely used, ubiquitous, and highly persistent man-made chemicals. Groundwater of a vast area of the Veneto Region (northeastern Italy) was found to be contaminated by PFAS from a manufacturing plant active since the late 1960s. As a result, residents were overexposed to PFAS through drinking water until 2013, mainly to perfluorooctanoic acid (PFOA)., Objectives: The aim of the present study was to estimate the rates of decline in serum PFOA and their corresponding serum half-lives, while characterizing their determinants., Methods: We investigated 5,860 subjects more than 14 years of age who enrolled in the second surveillance round of the regional health surveillance program. Two blood samples were collected between 2017 and 2022 (average time between measurements: 4 years). Serum PFOA excretion rates and half-lives were estimated based on linear mixed effect models, modeling subject-specific serum PFOA concentrations over time and correcting for background concentrations. For modeling determinants of half-life [age, sex, body mass index (BMI), smoking-habit, alcohol consumption, and estimated glomerular filtration rate (eGFR)], we added interaction terms between each covariate and the elapsed time between measurements. Perfluorooctanesulfonate (PFOS) and perfluorohexanesulfonic acid (PFHxS) apparent half-lives were also estimated. A separate analysis was conducted in children ( n = 480 ). All analyses were stratified by sex., Results: Median initial serum concentrations of PFOA was 49 ng / mL (range: 0.5-1,090), with a median reduction of 62.45%. The mean estimated PFOA half-life was 2.36 years [95% confidence interval (CI): 2.33, 2.40], shorter in women (2.04; 95% CI: 2.00, 2.08) compared to men (2.83; 95% CI: 2.78, 2.89). Half-lives varied when stratified by some contributing factors, with faster excretion rates in nonsmokers and nonalcohol drinkers (especially in males)., Conclusions: This study, to our knowledge the largest on PFOA half-life, provides precise estimates in young adults whose exposure via drinking water has largely ceased. For other PFAS, longer half-lives than reported in other studies can be explained by some ongoing exposure to PFAS via other routes. https://doi.org/10.1289/EHP13152.
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- 2024
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45. The incidence and risk factors of selected drug prescriptions and outpatient care after SARS-CoV-2 infection in low-risk subjects: a multicenter population-based cohort study.
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Gagliotti C, Banchelli F, De Paoli A, Buttazzi R, Narne E, Ricchizzi E, Schievano E, Bellio S, Pitter G, Tonon M, Canziani LM, Rolli M, Tacconelli E, Berti E, Russo F, and Moro ML
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- Humans, Female, Aged, Adult, Male, SARS-CoV-2, Incidence, Cohort Studies, Retrospective Studies, Risk Factors, Ambulatory Care, Multicenter Studies as Topic, COVID-19 epidemiology
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Background: Knowledge about the dynamics of transmission of SARS-CoV-2 and the clinical aspects of COVID-19 has steadily increased over time, although evidence of the determinants of disease severity and duration is still limited and mainly focused on older adult and fragile populations., Methods: The present study was conceived and carried out in the Emilia-Romagna (E-R) and Veneto Regions, Italy, within the context of the EU's Horizon 2020 research project called ORCHESTRA (Connecting European Cohorts to increase common and effective response to SARS-CoV-2 pandemic) (www.orchestra-cohort.eu). The study has a multicenter retrospective population-based cohort design and aimed to investigate the incidence and risk factors of access to specific healthcare services (outpatient visits and diagnostics, drug prescriptions) during the post-acute phase from day-31 to day-365 after SARS-CoV-2 infection, in a healthy population at low risk of severe acute COVID-19. The study made use of previously recorded large-scale healthcare data available in the administrative databases of the two Italian Regions. The statistical analysis made use of methods for competing risks. Risk factors were assessed separately in the two Regions and results were pooled using random effects meta-analysis., Results: There were 35,128 subjects in E-R and 88,881 in Veneto who were included in the data analysis. The outcome (access to selected health services) occurred in a high percentage of subjects in the post-acute phase (25% in E-R and 21% in Veneto). Outpatient care was observed more frequently than drug prescriptions (18% vs. 12% in E-R and 15% vs. 10% in Veneto). Risk factors associated with the outcome were female sex, age greater than 40 years, baseline risk of hospitalization and death, moderate to severe acute COVID-19, and acute extrapulmonary complications., Conclusion: The outcome of interest may be considered as a proxy for long-term effects of COVID-19 needing clinical attention. Our data suggest that this outcome occurs in a substantial percentage of cases, even among a previously healthy population with low or mild severity of acute COVID-19. The study results provide useful insights into planning COVID-19-related services., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Gagliotti, Banchelli, De Paoli, Buttazzi, Narne, Ricchizzi, Schievano, Bellio, Pitter, Tonon, Canziani, Rolli, Tacconelli, Berti, Russo and Moro.)
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- 2023
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46. Trends in SARS-CoV-2 clinically confirmed cases and viral load in wastewater: A critical alignment for Padua city (NE Italy).
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Baldovin T, Amoruso I, Fonzo M, Bertoncello C, Groppi V, Pitter G, Russo F, and Baldo V
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Since the beginning of the COVID-19 pandemic, wastewater-based epidemiology (WBE) has been depicted as a promising environmental surveillance tool and early warning system. Predictive models for the estimate of COVID-19 cases from wastewater viral loads also earned lot of interest and are currently under development. Hereby a pilot study that compares WBE surveillance data with confirmed cases, total hospitalizations, doses of vaccine administered and predominance of coronavirus variants. Composite 24hrs wastewater samples were collected weekly between September 2021 and July 2022 from Padua wastewater treatment plant. Samples were processed following a previously published method. One-step RT-qPCR was performed for quantification, adapting an Orf1b-nsp14 gene assay. Variant replacement was derived from the monthly bulletins of the Italian National Health Institute. Aggregate data on vaccine doses administered and on COVID-19 prevalence and hospitalizations were retrieved from official reports. Eighty-two samples were processed. Viral loads highlighted 3 major peaks in January, April and July 2022. Quantitation of SARS-CoV-2 in wastewater and clinical surveillance resulted temporally juxtaposable. However, variation of the two curves is not proportional. SARS-CoV-2 showed its highest peak in April, whereas maximum COVID-19 prevalence was achieved in January. Total hospitalizations followed the prevalence trend. Omicron BA.1 started to replace the Delta variant in December 2021. Subsequently, the shift towards Omicron BA.2 occurred between February and April 2022. Finally, BA.4/5 attested around June, somehow preceding the summer peak. Emergence of Omicron BA.1 over Delta could be a possible driver of the increase in both clinical cases and wastewater viral load in January 2022. In late March 2022, Omicron BA.2 replaced BA.1: this reflected in a steep increase of wastewater viral load, but not of COVID-19 confirmed cases. When a dramatic drop in the testing capacity of clinical surveillance occurred, WBE was possibly capable of detecting a substantial increase in viral circulation., Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper., (© 2023 The Authors.)
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- 2023
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47. Migrant status disparities in blood pressure: a multiple mediation analysis of modifiable factors.
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Dalla Zuanna T, Batzella E, Russo F, Pitter G, and Canova C
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- Adult, Humans, Female, Young Adult, Middle Aged, Aged, Blood Pressure physiology, Mediation Analysis, Cross-Sectional Studies, Body Mass Index, Transients and Migrants, Hypertension epidemiology
- Abstract
Background: We examined differences in blood pressure (BP) levels between first-generation immigrants and natives in adult residents in Northeast Italy, and investigated the role of lifestyle behaviors, body mass index (BMI), and education as potentially modifiable mediating factors., Methods: We included 20-69-year-old participants from the Health Surveillance Program of the Veneto Region (n = 37,710). Immigrants born in a high migratory pressure country (HMPC) were further grouped into geographical macro-areas. The outcomes were systolic BP (SBP) and hypertension. Multiple mediation analyses were performed to determine the contribution of each mediator of the SBP/migrant status association., Results: Of the 37,380 subjects included, 8.7% were born in an HMPC. BMI, education, alcohol, sweets and meat consumption were included as potential mediators. A small advantage in SBP was seen for immigrants compared to natives (β = - 0.71,95%CI - 1.30; - 0.10). The direct effect (net of the covariates) of immigrant status on SBP was a reduction of 1.62 mmHg (95%CI - 2.25; - 0.98). BMI played the highest suppressive role (β = 1.14,95%CI 0.99; 1.35), followed by education. Alcohol consumption amplified the health advantage of immigrants. The suppressing effect of BMI was particularly evident among women and North Africans compared to natives. Similar results were seen for hypertension rates., Conclusions: Although causation cannot be proven given the cross-sectional design, our findings identify BMI as the most effective target to preserve the health advantage of immigrants with respect to BP levels., (© 2023. The Author(s).)
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- 2023
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48. Adult first-generation immigrants and cardiovascular risk factors in the Veneto Region, Northeast Italy.
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Dalla Zuanna T, Batzella E, Pitter G, Russo F, Spadea T, and Canova C
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- Humans, Adult, Female, Male, Risk Factors, Italy, Heart Disease Risk Factors, Cardiovascular Diseases, Emigrants and Immigrants
- Abstract
Introduction: The health condition of immigrants traditionally follows a transition from a low disease occurrence to the epidemiological profile of the deprived groups in the host country. In the Europe, studies examining differences in biochemical and clinical outcomes among immigrants and natives are lacking. We examined differences in cardiovascular risk factors between first-generation immigrants and Italians, and how migration pattern variables could affect health outcomes., Material and Methods: We included participants between 20 and 69 years recruited from a Health Surveillance Program of the Veneto Region. Blood pressure (BP), total cholesterol (TC) and LDL cholesterol levels were measured. Immigrant status was defined by being born in a high migratory pressure country (HMPC) and subdivided by geographical macro-areas. We used generalized linear regression models to investigate differences between these outcomes among immigrants compared to native-born, adjusting for age, sex, education, BMI, alcohol consumption, smoking status, food consumption, salt consumption in the BP analysis and the laboratory in charge for cholesterol analysis. Within immigrant subjects, the results were stratified by variables of the migration pattern: age at immigration and length of residence in Italy., Results: Thirty seven thousand three hundred and eighty subjects were included in the analysis, 8.6% were born in an HMPC. Heterogeneous results were seen by the macro-areas of origin and sex, with male immigrants from CE Europe (β = 8.77 mg/dl) and Asia (β = 6.56 mg/dl) showing higher levels of TC than native-born, while female immigrants from Northern Africa showed lower levels of TC (β = -8.64 mg/dl). BP levels were generally lower among immigrants. Immigrants residing in Italy for more than 20 years had lower levels of TC (β = -2.9 mg/dl) than native-born. In contrast, immigrants who arrived <20 years ago or arrived older than 18 years had higher levels of TC. This trend was confirmed for CE Europeans and was inverted for Northern Africans., Conclusions: The large heterogeneity in the results depending on sex and macro-area of origin indicates the need for targeted intervention in each specific immigrant group. The results confirm that acculturation leads to a convergence toward the epidemiological profile of the host population that depends on the starting condition of the immigrant group., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Dalla Zuanna, Batzella, Pitter, Russo, Spadea and Canova.)
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- 2023
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49. Associations between Mixture of Perfluoroalkyl Substances and Lipid Profile in a Highly Exposed Adult Community in the Veneto Region.
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Batzella E, Zare Jeddi M, Pitter G, Russo F, Fletcher T, and Canova C
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- Adult, Bayes Theorem, Caprylates, Cholesterol, HDL, Cholesterol, LDL, Cross-Sectional Studies, Humans, Lipids, Alkanesulfonic Acids, Drinking Water, Environmental Pollutants, Fluorocarbons toxicity
- Abstract
Background: Residents of a large area in the Veneto Region (Northeastern Italy) were exposed to drinking water contaminated by perfluoroalkyl substances (PFAS) for decades. While exposure to PFAS has been consistently associated with elevated serum lipids, combined exposures to multiple PFASs have been poorly investigated. Utilising different statistical approaches, we examine the association between chemical mixtures and lipid parameters., Methods: Cross-sectional data from the regional health surveillance program (34,633 individuals aged 20-64 years) were used to examine the combined effects of PFAS mixture (Perfluorooctanoic acid (PFOA), perfluorooctane sulfonate (PFOS), perfluorononanoic acid (PFNA) and perfluorohexane sulfonate (PFHxS)) on total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C) and low-density lipoprotein cholesterol (LDL-C). Weighted Quantile Sum (WQS) regression, Quantile-based G-computation (Q-Gcomp) and Bayesian Kernel Machine Regression (BKMR) were used based on their ability to handle highly correlated chemicals., Results: We observed that each quartile increase in the WQS index was associated with an increase in the levels of TC (β: 4.09, 95% CI: 3.47-4.71), HDL-C (β: 1.13, 95% CI: 0.92-1.33) and LDL-C (β: 3.14, 95% CI: 2.65-3.63). Q-Gcomp estimated that a quartile increase in the PFAS mixture was associated with increased TC (ψ: 4.04, 95% CI 3.5-4.58), HDL-C (ψ: 1.07, 95% CI 20.87-1.27) and LDL-C (ψ: 2.71, 95% CI 2.23-3.19). In the BKMR analysis, the effect of PFAS mixture on serum lipids increased significantly when their concentrations were at their 75th percentiles or above, compared to those at their 50th percentile. All methods revealed a major contribution of PFOS and PFNA, although the main exposure was due to PFOA. We found suggestive evidence that associations varied when stratified by gender., Conclusions: The PFAS mixture was positively associated with lipid parameters, regardless of the applied method. Very similar results obtained from the three methods may be attributed to the linear positive association with the outcomes and no interaction between each PFAS.
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- 2022
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50. Perfluoroalkyl substance mixtures and cardio-metabolic outcomes in highly exposed male workers in the Veneto Region: A mixture-based approach.
- Author
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Batzella E, Girardi P, Russo F, Pitter G, Da Re F, Fletcher T, and Canova C
- Subjects
- Biomarkers, Blood Pressure, Cholesterol, LDL, Humans, Italy, Linear Models, Male, Occupational Exposure adverse effects, Alkanesulfonic Acids adverse effects, Alkanesulfonic Acids poisoning, Fluorocarbons adverse effects, Fluorocarbons poisoning
- Abstract
Background: Perfluoroalkyl substances (PFAS) have been consistently associated with cardio-metabolic traits. Occupational exposures to multiple PFAS with health outcomes have been poorly investigated. The aim of the present study was to examine these associations among former workers involved in PFAS production., Methods: We considered 232 male ex-employees who had worked in a factory (Trissino, Veneto Region, Italy), which produced PFAS and other chemicals during 1968-2018. Out of twelve serum PFAS, only four (PFOA, PFOS, PFHxS, and PFNA) were quantifiable in at least 50% of samples. Non-fasting serum total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), systolic blood pressure (SBP) and diastolic blood pressure (DBP) were measured. The associations between serum PFAS mixture and considered outcomes were assessed through linear regression mixed models and Weighted Quantile Sum (WQS) regression, adjusting for potential confounders., Results: PFOA was detected at the highest level, with a median concentration (in ng/mL) of 80.8 (min-max: 0.35-13,033), followed by PFOS (median: 8.55, min-max: 0.35-343), PFHxS (median: 6.8, min-max: 0.35-597) and PFNA (median: 0.8, min-max: 0.35-5). We observed that each A quartile increase in the WQS index was positively associated with the levels of TC (β: 8.41, 95% IC: 0.78-16.0), LDL-C (β: 8.02, 95% IC: 1-15.0) and SBP (β: 3.21, 95% IC: 0.82-5.60). No association of serum PFAS concentration on HDL cholesterol and DBP emerged. WQS analyses revealed a major contribution of PFNA and PFHxS for the cholesterol levels, although PFOA reported the highest concentration. PFOA and PFOS emerged as chemicals of concern regarding the association with SBP., Conclusions: The results showed a clear association between serum PFAS levels and markers of cardiovascular risk and support the importance of clinical surveillance of cardiovascular risk factors in population with a high exposure to PFAS, especially in the occupational setting., (Copyright © 2022 Elsevier Inc. All rights reserved.)
- Published
- 2022
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