37 results on '"Zeduri, A"'
Search Results
2. Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement
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Stefano Odelli, Margherita Zeduri, Maria Rosa Schivardi, Davide Archi, Liliana Coppola, Roberto Genco Russo, Maristella Moscheni, Elena Tettamanzi, Fabio Terragni, Michela Viscardi, Valentina Vitale, Anna Odone, Danilo Cereda, and Silvia Deandrea
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PRECEDE–PROCEED model ,cancer screening ,audit ,Lombardy region ,equity ,quality improvement ,Neoplasms. Tumors. Oncology. Including cancer and carcinogens ,RC254-282 - Abstract
Background: Health disparities related to socio-economic factors impact access to preventive health interventions. The PRECEDE–PROCEED model, a multidimensional approach to health promotion, has been adapted to optimise cancer screening programs in Lombardy, Italy, addressing these disparities. Methods: This study evaluated the application of systemic audits based on the PRECEDE–PROCEED model across Lombardy cancer screening programs. A systematic region-wide audit was performed in 2019, and follow-up audits were performed in 2022–2023. Data were collected using structured analysis methodologies, including epidemiological, behavioural, and organisational assessments. Results: The 2019 audit showed strengths in participation and quality standards but identified challenges in cervical cancer screening coverage and waiting times for assessments. Improvements plans included the digitisation of processes and stakeholder engagement. The 2022–2023 audits reported increased coverage for breast and colorectal screenings, but a slight decline in participation rates and examination coverage. Organisational improvements were noted, yet gaps in training and equity-targeted actions remained. Conclusion: The PRECEDE–PROCEED model audits led to notable improvements in the quality and equity of cancer screening programs in Lombardy. Sustained focus on digital integration, continuous re-training, and targeted equity interventions is essential for further progress.
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- 2024
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3. COVID-19 lockdown impact on familial relationships and mental health in a large representative sample of Italian adults
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Zeduri, Margherita, Vigezzi, Giacomo Pietro, Carioli, Greta, Lugo, Alessandra, Stival, Chiara, Amerio, Andrea, Gorini, Giuseppe, Pacifici, Roberta, Politi, Pierluigi, Gallus, Silvano, and Odone, Anna
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- 2022
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4. Impact of PRECEDE–PROCEED Model Audits in Cancer Screening Programs in Lombardy Region: Supporting Equity and Quality Improvement.
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Odelli, Stefano, Zeduri, Margherita, Schivardi, Maria Rosa, Archi, Davide, Coppola, Liliana, Genco Russo, Roberto, Moscheni, Maristella, Tettamanzi, Elena, Terragni, Fabio, Viscardi, Michela, Vitale, Valentina, Odone, Anna, Cereda, Danilo, and Deandrea, Silvia
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SOCIOECONOMIC disparities in health , *EARLY detection of cancer , *SOCIOECONOMIC factors , *CERVICAL cancer , *STAKEHOLDER analysis - Abstract
Background: Health disparities related to socio-economic factors impact access to preventive health interventions. The PRECEDE–PROCEED model, a multidimensional approach to health promotion, has been adapted to optimise cancer screening programs in Lombardy, Italy, addressing these disparities. Methods: This study evaluated the application of systemic audits based on the PRECEDE–PROCEED model across Lombardy cancer screening programs. A systematic region-wide audit was performed in 2019, and follow-up audits were performed in 2022–2023. Data were collected using structured analysis methodologies, including epidemiological, behavioural, and organisational assessments. Results: The 2019 audit showed strengths in participation and quality standards but identified challenges in cervical cancer screening coverage and waiting times for assessments. Improvements plans included the digitisation of processes and stakeholder engagement. The 2022–2023 audits reported increased coverage for breast and colorectal screenings, but a slight decline in participation rates and examination coverage. Organisational improvements were noted, yet gaps in training and equity-targeted actions remained. Conclusion: The PRECEDE–PROCEED model audits led to notable improvements in the quality and equity of cancer screening programs in Lombardy. Sustained focus on digital integration, continuous re-training, and targeted equity interventions is essential for further progress. [ABSTRACT FROM AUTHOR]
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- 2024
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5. Changes in the use of nicotine-containing products during and after the COVID-19 pandemic in a representative sample of the Italian adult population.
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Zeduri, Margherita, Campagni, Cosimo, Carreras, Giulia, Gallus, Silvano, Lugo, Alessandra, Stival, Chiara, Mastrobattista, Luisa, Mortali, Claudia, Odone, Anna, Amerio, Andrea, and Gorini, Giuseppe
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- 2024
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6. Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data
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Thomas Langer, Martina Favarato, Riccardo Giudici, Gabriele Bassi, Roberta Garberi, Fabiana Villa, Hedwige Gay, Anna Zeduri, Sara Bragagnolo, Alberto Molteni, Andrea Beretta, Matteo Corradin, Mauro Moreno, Chiara Vismara, Carlo Federico Perno, Massimo Buscema, Enzo Grossi, and Roberto Fumagalli
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Severe acute respiratory syndrome coronavirus 2 ,Emergency service, hospital ,Pandemics ,Critical care ,Artificial intelligence ,Supervised machine learning ,Medical emergencies. Critical care. Intensive care. First aid ,RC86-88.9 - Abstract
Abstract Background Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency departments could improve management during this global crisis. Our main goal was assessing the accuracy of artificial intelligence in predicting the results of RT-PCR for SARS-COV-2, using basic information at hand in all emergency departments. Methods This is a retrospective study carried out between February 22, 2020 and March 16, 2020 in one of the main hospitals in Milan, Italy. We screened for eligibility all patients admitted with influenza-like symptoms tested for SARS-COV-2. Patients under 12 years old and patients in whom the leukocyte formula was not performed in the ED were excluded. Input data through artificial intelligence were made up of a combination of clinical, radiological and routine laboratory data upon hospital admission. Different Machine Learning algorithms available on WEKA data mining software and on Semeion Research Centre depository were trained using both the Training and Testing and the K-fold cross-validation protocol. Results Among 199 patients subject to study (median [interquartile range] age 65 [46–78] years; 127 [63.8%] men), 124 [62.3%] resulted positive to SARS-COV-2. The best Machine Learning System reached an accuracy of 91.4% with 94.1% sensitivity and 88.7% specificity. Conclusion Our study suggests that properly trained artificial intelligence algorithms may be able to predict correct results in RT-PCR for SARS-COV-2, using basic clinical data. If confirmed, on a larger-scale study, this approach could have important clinical and organizational implications.
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- 2020
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7. Pre- and in-hospital anticoagulation therapy in coronavirus disease 2019 patients: a propensity-matched analysis of in-hospital outcomes
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Battistoni, Ilaria, Francioni, Matteo, Morici, Nuccia, Rubboli, Andrea, Podda, Gian Marco, Pappalardo, Andrea, Abdelrahim, Mohamed E.A., El Gendy, Osama S., Khalaf, Ahmed M., Hamied, Ahmed Abdel M., Garcés, Héctor Hernández, Abdelhamid, Omar E.S., Tawfik, Karim A.M., Zeduri, Anna, Bassi, Gabriele, Pongetti, Giulia, Angelini, Luca, Giovinazzo, Stefano, Garcia, Pablo Martinez, Serino, Francesco Saverio, Polistina, Giorgio Emanuele, Fiorentino, Giuseppe, Barbati, Giovanni, Toniolo, Anna, Fabbrizioli, Azzurra, Belenguer-Muncharaz, Alberto, Porto, Italo, Ocak, Sibel, Minuz, Pietro, Bernal, Francisco, Hermosilla, Irina, and Borovac, Josip A.
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- 2021
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8. The OECD report on the evaluation of the national tobacco control programme in France
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ZEDURI, MARGHERITA, primary, STANCANELLI, ENRICA, additional, BONACCORSI, GUGLIELMO, additional, ODONE, ANNA, additional, and GORINI, GIUSEPPE, additional
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- 2023
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9. Lung cancer screening, smoking cessation and health behaviors: preliminary results of an Italian pilot study
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Giovannoli, Jasmine, primary, Checcacci, Serena, additional, Cavallo, Giuseppe, additional, Stancanelli, Enrica, additional, Zeduri, Margherita, additional, Odone, Anna, additional, and Gorini, Giuseppe, additional
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- 2023
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10. Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data
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Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, and Fumagalli, Roberto
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- 2020
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11. The PROVENT-C19 registry: A study protocol for international multicenter SIAARTI registry on the use of prone positioning in mechanically ventilated patients with COVID-19 ARDS
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De Rosa, S, Sella, N, Rezoagli, E, Lorenzoni, G, Gregori, D, Bellani, G, Foti, G, Pettenuzzo, T, Baratto, F, Fullin, G, Papaccio, F, Peta, M, Poole, D, Toffoletto, F, Maggiore, S, Navales, P, Navalesi, P, Tiberio, I, Pasin, L, Godi, I, Serra, E, Zarantonello, F, Andreatta, G, Boscolo, A, Persona, P, Cattin, L, Forin, E, Boni, E, Golino, G, Danzi, V, Vetrugno, L, Cornacchia, N, Donadello, K, Gottin, L, Polati, E, Campagnolo, M, Linassi, F, Panciera, G, Garofalo, E, Bruni, A, Carlon, R, Pipitone, M, Candosin, A, Badii, F, Role, S, Girardis, M, Busani, S, Gamberini, E, Tartivita, C, Gamberini, L, Cortegiani, A, Frisella, S, Ippolito, M, Salvo, F, Greco, M, Cecconi, M, Aceto, R, Langer, T, Repishti, M, Zeduri, A, Ottolina, D, Fossali, T, Colombo, R, Predonzani, N, Ferluga, M, Blasi, S, Zardin, M, Vergine, S, Luccarelli, G, Tritapepe, L, Francesconi, A, Pagani, M, Mojoli, F, Orlando, A, Mongodi, S, Bitondo, M, Johnathan, M, Maugeri, J, Bellissima, A, Guzzardella, A, Vallecoccia, M, Spadaro, S, Cricca, V, Andriolo, E, Bianchin, A, Alampi, D, Rocco, M, Anchisi, S, Tenaglia, T, Nicoletti, R, Antonini, B, Zanaty, M, Mogahed, M, Ali, A, Emara, M, Abdullah, E, Awad, A, Abdel-Maboud, M, Hussein, A, Mosleh, A, Ahmed, M, Aziz, M, Elsayed, A, Aldhalia, A, Elkhatid, A, Abodina, A, Khalleefah, A, Shalabi, L, Shamed, H, Bakeer, H, Hawad, A, Abuzaid, T, Alqandouz, R, Saliga, A, Haddud, A, Kredan, A, Shaban, M, Salama, A, Altabit, A, Alflite, A, Hashim, H, Kadhim, Q, Abd-Alreda, A, Al-Juifari, M, Al-Gburi, S, Akram, A, Laila, A, Bakri, A, Abdelmageed, A, Binnawara, M, Mohamed, M, Esaadi, H, Othman, E, Said, A, Alarabi, R, Alameen, H, Albouishi, N, Babaa, K, Salih, R, Elbakheet, D, Abuelyamen, A, Perez-Torres, D, Mattson, J, Al-Sadawi, M, Elseidy, S, De Rosa S., Sella N., Rezoagli E., Lorenzoni G., Gregori D., Bellani G., Foti G., Pettenuzzo T., Baratto F., Fullin G., Papaccio F., Peta M., Poole D., Toffoletto F., Maggiore S. M., Navales P., Navalesi P., Tiberio I., Pasin L., Godi I., Serra E., Zarantonello F., Andreatta G., Boscolo A., Persona P., Cattin L., Forin E., Boni E., Golino G., Danzi V., Vetrugno L., Cornacchia N., Donadello K., Gottin L., Polati E., Campagnolo M., Linassi F., Panciera G., Garofalo E., Bruni A., Carlon R., Pipitone M., Candosin A., Badii F., Role S. D., Girardis M., Busani S., Gamberini E., Tartivita C. N., Gamberini L., Cortegiani A., Frisella S., Ippolito M., Salvo F., Greco M., Cecconi M., Aceto R., Langer T., Repishti M., Zeduri A., Ottolina D., Fossali T., Colombo R., Predonzani N., Ferluga M., Blasi S. D., Zardin M., Vergine S., Luccarelli G., Tritapepe L., Francesconi A. G., Pagani M., Mojoli F., Orlando A., Mongodi S., Bitondo M., Johnathan M., Maugeri J., Bellissima A., Guzzardella A., Vallecoccia M. S., Spadaro S., Cricca V., Andriolo E., Bianchin A., Alampi D., Rocco M., Anchisi S., Tenaglia T., Nicoletti R., Antonini B., Zanaty M., Mogahed M., Ali A., Emara M., Abdullah E., Awad A. K., Abdel-Maboud M., Hussein A. M., Hussein A. A. R. M., Mosleh A. A., Ahmed M. G., Aziz M. G., Elsayed A., Aldhalia A., Elkhatid A., Abodina A. M., Khalleefah A., Shalabi L. E., Shamed H., Bakeer H. B., Hawad A., Abuzaid T., Alqandouz R. A. S., Saliga A. A., Haddud A., Kredan A. A., Shaban M. S., Salama A. A., Altabit A. E. R. M., Alflite A. O. S., Hashim H. T., Kadhim Q. M., Abd-Alreda A. H., Al-Juifari M. A., Al-Gburi S. M., Akram A., Laila A., Bakri A., Abdelmageed A., Binnawara M., Mohamed M., Esaadi H., Othman E., Said A., Alarabi R., Alameen H., Albouishi N., Babaa K. A., Salih R., Elbakheet D. E., Abuelyamen A., Perez-Torres D., Mattson J., Al-Sadawi M., Elseidy S., De Rosa, S, Sella, N, Rezoagli, E, Lorenzoni, G, Gregori, D, Bellani, G, Foti, G, Pettenuzzo, T, Baratto, F, Fullin, G, Papaccio, F, Peta, M, Poole, D, Toffoletto, F, Maggiore, S, Navales, P, Navalesi, P, Tiberio, I, Pasin, L, Godi, I, Serra, E, Zarantonello, F, Andreatta, G, Boscolo, A, Persona, P, Cattin, L, Forin, E, Boni, E, Golino, G, Danzi, V, Vetrugno, L, Cornacchia, N, Donadello, K, Gottin, L, Polati, E, Campagnolo, M, Linassi, F, Panciera, G, Garofalo, E, Bruni, A, Carlon, R, Pipitone, M, Candosin, A, Badii, F, Role, S, Girardis, M, Busani, S, Gamberini, E, Tartivita, C, Gamberini, L, Cortegiani, A, Frisella, S, Ippolito, M, Salvo, F, Greco, M, Cecconi, M, Aceto, R, Langer, T, Repishti, M, Zeduri, A, Ottolina, D, Fossali, T, Colombo, R, Predonzani, N, Ferluga, M, Blasi, S, Zardin, M, Vergine, S, Luccarelli, G, Tritapepe, L, Francesconi, A, Pagani, M, Mojoli, F, Orlando, A, Mongodi, S, Bitondo, M, Johnathan, M, Maugeri, J, Bellissima, A, Guzzardella, A, Vallecoccia, M, Spadaro, S, Cricca, V, Andriolo, E, Bianchin, A, Alampi, D, Rocco, M, Anchisi, S, Tenaglia, T, Nicoletti, R, Antonini, B, Zanaty, M, Mogahed, M, Ali, A, Emara, M, Abdullah, E, Awad, A, Abdel-Maboud, M, Hussein, A, Mosleh, A, Ahmed, M, Aziz, M, Elsayed, A, Aldhalia, A, Elkhatid, A, Abodina, A, Khalleefah, A, Shalabi, L, Shamed, H, Bakeer, H, Hawad, A, Abuzaid, T, Alqandouz, R, Saliga, A, Haddud, A, Kredan, A, Shaban, M, Salama, A, Altabit, A, Alflite, A, Hashim, H, Kadhim, Q, Abd-Alreda, A, Al-Juifari, M, Al-Gburi, S, Akram, A, Laila, A, Bakri, A, Abdelmageed, A, Binnawara, M, Mohamed, M, Esaadi, H, Othman, E, Said, A, Alarabi, R, Alameen, H, Albouishi, N, Babaa, K, Salih, R, Elbakheet, D, Abuelyamen, A, Perez-Torres, D, Mattson, J, Al-Sadawi, M, Elseidy, S, De Rosa S., Sella N., Rezoagli E., Lorenzoni G., Gregori D., Bellani G., Foti G., Pettenuzzo T., Baratto F., Fullin G., Papaccio F., Peta M., Poole D., Toffoletto F., Maggiore S. M., Navales P., Navalesi P., Tiberio I., Pasin L., Godi I., Serra E., Zarantonello F., Andreatta G., Boscolo A., Persona P., Cattin L., Forin E., Boni E., Golino G., Danzi V., Vetrugno L., Cornacchia N., Donadello K., Gottin L., Polati E., Campagnolo M., Linassi F., Panciera G., Garofalo E., Bruni A., Carlon R., Pipitone M., Candosin A., Badii F., Role S. D., Girardis M., Busani S., Gamberini E., Tartivita C. N., Gamberini L., Cortegiani A., Frisella S., Ippolito M., Salvo F., Greco M., Cecconi M., Aceto R., Langer T., Repishti M., Zeduri A., Ottolina D., Fossali T., Colombo R., Predonzani N., Ferluga M., Blasi S. D., Zardin M., Vergine S., Luccarelli G., Tritapepe L., Francesconi A. G., Pagani M., Mojoli F., Orlando A., Mongodi S., Bitondo M., Johnathan M., Maugeri J., Bellissima A., Guzzardella A., Vallecoccia M. S., Spadaro S., Cricca V., Andriolo E., Bianchin A., Alampi D., Rocco M., Anchisi S., Tenaglia T., Nicoletti R., Antonini B., Zanaty M., Mogahed M., Ali A., Emara M., Abdullah E., Awad A. K., Abdel-Maboud M., Hussein A. M., Hussein A. A. R. M., Mosleh A. A., Ahmed M. G., Aziz M. G., Elsayed A., Aldhalia A., Elkhatid A., Abodina A. M., Khalleefah A., Shalabi L. E., Shamed H., Bakeer H. B., Hawad A., Abuzaid T., Alqandouz R. A. S., Saliga A. A., Haddud A., Kredan A. A., Shaban M. S., Salama A. A., Altabit A. E. R. M., Alflite A. O. S., Hashim H. T., Kadhim Q. M., Abd-Alreda A. H., Al-Juifari M. A., Al-Gburi S. M., Akram A., Laila A., Bakri A., Abdelmageed A., Binnawara M., Mohamed M., Esaadi H., Othman E., Said A., Alarabi R., Alameen H., Albouishi N., Babaa K. A., Salih R., Elbakheet D. E., Abuelyamen A., Perez-Torres D., Mattson J., Al-Sadawi M., and Elseidy S.
- Abstract
Background The worldwide use of prone position (PP) for invasively ventilated patients with COVID-19 is progressively increasing from the first pandemic wave in everyday clinical practice. Among the suggested treatments for the management of ARDS patients, PP was recommended in the Surviving Sepsis Campaign COVID-19 guidelines as an adjuvant therapy for improving ventilation. In patients with severe classical ARDS, some authors reported that early application of prolonged PP sessions significantly decreases 28-day and 90-day mortality. Methods and analysis Since January 2021, the COVID19 Veneto ICU Network research group has developed and implemented nationally and internationally the "PROVENT-C19 Registry", endorsed by the Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care. . .'(SIAARTI). The PROVENT-C19 Registry wishes to describe 1. The real clinical practice on the use of PP in COVID-19 patients during the pandemic at a National and International level; and 2. Potential baseline and clinical characteristics that identify subpopulations of invasively ventilated patients with COVID-19 that may improve daily from PP therapy. This web-based registry will provide relevant information on how the database research tools may improve our daily clinical practice. Conclusions This multicenter, prospective registry is the first to identify and characterize the role of PP on clinical outcome in COVID-19 patients. In recent years, data emerging from large registries have been increasingly used to provide real-world evidence on the effectiveness, quality, and safety of a clinical intervention. Indeed observation-based registries could be effective tools aimed at identifying specific clusters of patients within a large study population with widely heterogeneous clinical characteristics. Copyright
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- 2022
12. Hospital hand hygiene after COVID-19: has the pandemic heightened healthcare workers' awareness?
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Zeduri, Margherita, primary, Sgueglia, Alice, additional, Vigezzi, Giacomo, additional, Lanave, Marina, additional, Galvi, Rebecca, additional, Muzzi, Alba, additional, and Odone, Anna, additional
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- 2023
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13. Infection control in the intensive care unit: the Pavia experience
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Sgueglia, Alice, primary, Zeduri, Margherita, additional, Girardi, Daniela, additional, Lanave, Marina, additional, Galvi, Rebecca, additional, Muzzi, Alba, additional, and Odone, Anna, additional
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- 2023
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14. Impact of new Electronic Health Record on antimicrobial stewardship policies in IRCCS Policlinico San Donato
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Cescutti, Demetrio, primary, Zeduri, Margherita, additional, Lunetti, Carlo, additional, Meloni, Alessandro, additional, D'Acquisto, Aurelia, additional, Ferraris, Laurenzia, additional, Caravella, Giuseppe, additional, Shishova, Maria, additional, Bisinella, Giulia, additional, Carpinelli, Luca, additional, Odone, Anna, additional, Signorelli, Carlo, additional, and Cuppone, Maria, additional
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- 2023
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15. Impact on antimicrobial consumption of new stewardship policies in IRCCS Policlinico San Donato in 2022
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Meloni, Alessandro, primary, Cescutti, Demetrio, additional, Zeduri, Margherita, additional, Lunetti, Carlo, additional, D'Acquisto, Aurelia, additional, Bisinella, Giulia, additional, Shishova, Maria, additional, Caravella, Giuseppe, additional, Ferraris, Laurenzia, additional, Carpinelli, Luca, additional, Signorelli, Carlo, additional, Odone, Anna, additional, and Cuppone, Maria, additional
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- 2023
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16. Hospital hand hygiene after COVID-19: has the pandemic heightened healthcare workers' awareness?
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Margherita Zeduri, Alice Sgueglia, Giacomo Vigezzi, Marina Lanave, Rebecca Galvi, Alba Muzzi, and Anna Odone
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Health (social science) ,Epidemiology ,Health Policy ,Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) ,Health Informatics - Published
- 2023
17. Impact of new Electronic Health Record on antimicrobial stewardship policies in IRCCS Policlinico San Donato
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Demetrio Cescutti, Margherita Zeduri, Carlo Lunetti, Alessandro Meloni, Aurelia D'Acquisto, Laurenzia Ferraris, Giuseppe Caravella, Maria Shishova, Giulia Bisinella, Luca Carpinelli, Anna Odone, Carlo Signorelli, and Maria Cuppone
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Health (social science) ,Epidemiology ,Health Policy ,Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) ,Health Informatics - Published
- 2023
18. Infection control in the intensive care unit: the Pavia experience
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Alice Sgueglia, Margherita Zeduri, Daniela Girardi, Marina Lanave, Rebecca Galvi, Alba Muzzi, and Anna Odone
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Health (social science) ,Epidemiology ,Health Policy ,Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) ,Health Informatics - Published
- 2023
19. Impact on antimicrobial consumption of new stewardship policies in IRCCS Policlinico San Donato in 2022
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Alessandro Meloni, Demetrio Cescutti, Margherita Zeduri, Carlo Lunetti, Aurelia D'Acquisto, Giulia Bisinella, Maria Shishova, Giuseppe Caravella, Laurenzia Ferraris, Luca Carpinelli, Carlo Signorelli, Anna Odone, and Maria Cuppone
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Health (social science) ,Epidemiology ,Health Policy ,Public Health, Environmental and Occupational Health ,Medicine (miscellaneous) ,Health Informatics - Published
- 2023
20. Hospital discharge for stroke patients: Transitional Care is Brain
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AC Sgueglia, M Zeduri, M Rissone, P Bertuccio, A Cavallini, A Martignoni, A Muzzi, S Cutti, AG Ambrosio, and A Odone
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Public Health, Environmental and Occupational Health - Abstract
Background Among cerebrovascular disease, stroke is a life-threatening neurological event and a main cause of serious long-term disability, with relevant healthcare and economic burden. Treatment of stroke is time dependent and organised integrated stroke care enables quick and effective responses to reduce stroke-related death and disability. This study aimed at evaluating the amount of hospital discharge to transitional care facilities for stroke patients to support integrated care models in the city of Pavia (Italy). Methods In 2017 in Pavia, Fondazione IRCCS Policlinico San Matteo started a partnership with Fondazione Mondino to build a specific stroke pathway, becoming a leading centre for stroke treatment. We conducted a retrospective chart review (RCR) of patient-centred data to quantify the volume of discharge for stroke patients. Two trained public health residents reviewed medical records with stroke admission diagnosis during 2021, analysing onset (e.g., Emergency Room, other hospital, emergency network), ward, treatment and discharge types (e.g., home, death, transitional care facility). Results Our RCR found 669 patients with a stroke diagnosis treated at San Matteo hospital in 2021, the vast majority of which were admitted to the neurology ward (375 patients, 56%). The recanalization rate was 32% (150 on 464 ischemic stroke patients). Regarding the discharge type, 299 patients (45%) were sent home, while 297 patients (44%) needed transfer to rehabilitation or long-term care facilities. About 8% (52 patients) of the overall sample died in hospital. Conclusions Our analysis showed that, while most stroke patients were discharged and sent home, more than two-third need to be transferred to continue to get the right healthcare from the right professional. Transitional care facilities should receive the greatest consideration by systems and providers seeking to implement care models to reduce residual neurological disabilities for stroke patients. Key messages • A fast and accessible emergency chain is essential to reduce residual neurological disabilities and the related healthcare and economic burden in stroke patients. • Extending the stroke path model to other time-dependent diseases is increasingly high-priority to shape a strong and resilient healthcare system, ensuring qualified health coverage.
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- 2022
21. Hospital hand hygiene after COVID-19: has the pandemic heightened healthcare workers’ awareness?
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M Zeduri, AC Sgueglia, GP Vigezzi, P Ferrara, M Lanave, R Galvi, S Abela, V Novelli, A Muzzi, and A Odone
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Public Health, Environmental and Occupational Health - Abstract
Background Hand hygiene (HH) is the leading measure for preventing the transmission of healthcare-associated infections (HAI), and a cornerstone to prevent COVID-19 spread. Aim of the research was the assessment of HCWs’ adherence to the application of WHO optimal practices, with the goal to promote a culture of safety and quality infection prevention and control (IPC) activities. Methods Fondazione IRCCS Policlinico San Matteo, Pavia, Italy, implemented a HH monitoring plan in which HCWs’ adherence to HH procedures is evaluated using WHO guidelines, technical manual and observation form. Direct field observations took place in March and April 2022 by trained personnel. Process index was HH adherence, stratified by profession, opportunity and unit, which has been visited at least twice. Results Overall, 302 HCWs were observed from 18 hospital units (105 physicians, 108 nurses, 84 healthcare assistants and 5 students). Out of 1382 opportunities, global adherence was 52% with 190 handwashing and 598 hand rubbing. The indication with the highest adherence was “after body fluid exposure risk” (76%), whereas the lowest were “after touching the patient's setting” (40%) and “before touching a patient” (43%). Adherence was higher in specialistic surgeries and haematology units, while the worst performances were reported in general medicine ward (29%). Physicians’ and nurses’ adherence was respectively 45% and 61%. Audits occasionally revealed non-conformities in glove use (i.e., unnecessary use, not changed between patients, hand rubbing on gloves). Conclusions These preliminary findings could be directly linked to habits acquired during the pandemic, when HW tended to consider COVID-19 patients as a unique block to shield themselves from infections, rather than safeguarding individual patient units. HH awareness could have changed in the wake of COVID-19 pandemic and our study described how HCWs’ adherence to optimal practices needs specific initiatives to promote correct HH. Key messages • The COVID-19 pandemic reinforced the importance of handwashing and IPC, showing the key role of the HCWs’ adherence to hand hygiene (HH) procedures. • HH audits play a leading part in clinical governance and IPC, aiming at enhancing the quality of care and patient safety, particularly to strengthen health system resilience in post-COVID era.
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- 2022
22. COVID-19 impact on familial relationships and mental health in a representative sample of adults
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GP Vigezzi, M Zeduri, G Carioli, A Lugo, A Amerio, G Gorini, R Pacifici, P Politi, S Gallus, and A Odone
- Subjects
Public Health, Environmental and Occupational Health - Abstract
Background Benefits of the stay-at-home order imposed in Italy to prevent SARS-CoV-2 transmission need to be weighed against its impact on citizens’ health. In a country with a solid familial culture and where welfare relies on households, confinement drastically decreased support provided by elder relatives, which may have worsened mental health. Methods A web-based cross-sectional study (LOST in Italy) was conducted on a representative sample of Italian adults during lockdown (27th of April-3rd of May 2020). We asked 3156 subjects to report on reduced help in housework and childcare from retired parents to assess confinement impact on mental health through validated scales before and during the lockdown. Results Overall, 1484 (47.0%) subjects reported reduced housework help from parents, and 769 (64.0%, of the 1202 subjects with children) diminished babysitting support. Subjects reporting reduced housework help had worsened sleep quality (multivariate odds ratio, OR 1.74, 95% confidence interval, CI 1.49-2.03) and quantity (OR 1.50, 95%CI 1.28-1.76), depressive (OR 1.32, 95% CI 1.14-1.53) and anxiety symptoms (OR 1.53, 95%CI 1.32-1.78), compared to those reporting unreduced help. Worsening in sleep quality (OR 2.32, 95%CI 1.76-3.05) and quantity (OR 1.80, 95%CI 1.36-2.37), depressive (OR 1.79, 95%CI 1.39-2.31) and anxiety symptoms (OR 1.90, 95%CI 1.48-2.46) was also associated with reduced babysitting help. In subjects with poorer housing and teleworking, mental health outcomes were worse. Conclusions Confinement came along with reduced familial support from parents, negatively impacting mental health. Social networks and support within families provided by older relatives act as a resilience factor and a potential vulnerability that affects mental health outcomes. Health and social services response should be designed to address mental health needs and mitigate long-term health costs caused by the pandemic's unprecedented stressfulness and unknown duration. Key messages
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- 2022
23. Hospital discharge for stroke patients: Transitional Care is Brain
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Sgueglia, AC, primary, Zeduri, M, additional, Rissone, M, additional, Bertuccio, P, additional, Cavallini, A, additional, Martignoni, A, additional, Muzzi, A, additional, Cutti, S, additional, Ambrosio, AG, additional, and Odone, A, additional
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- 2022
- Full Text
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24. Hospital hand hygiene after COVID-19: has the pandemic heightened healthcare workers’ awareness?
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Zeduri, M, primary, Sgueglia, AC, additional, Vigezzi, GP, additional, Ferrara, P, additional, Lanave, M, additional, Galvi, R, additional, Abela, S, additional, Novelli, V, additional, Muzzi, A, additional, and Odone, A, additional
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- 2022
- Full Text
- View/download PDF
25. COVID-19 impact on familial relationships and mental health in a representative sample of adults
- Author
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Vigezzi, GP, primary, Zeduri, M, additional, Carioli, G, additional, Lugo, A, additional, Amerio, A, additional, Gorini, G, additional, Pacifici, R, additional, Politi, P, additional, Gallus, S, additional, and Odone, A, additional
- Published
- 2022
- Full Text
- View/download PDF
26. Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data
- Author
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Langer, T, Favarato, M, Giudici, R, Bassi, G, Garberi, R, Villa, F, Gay, H, Zeduri, A, Bragagnolo, S, Molteni, A, Beretta, A, Corradin, M, Moreno, M, Vismara, C, Perno, C, Buscema, M, Grossi, E, Fumagalli, R, Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, Fumagalli, Roberto, Langer, T, Favarato, M, Giudici, R, Bassi, G, Garberi, R, Villa, F, Gay, H, Zeduri, A, Bragagnolo, S, Molteni, A, Beretta, A, Corradin, M, Moreno, M, Vismara, C, Perno, C, Buscema, M, Grossi, E, Fumagalli, R, Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, and Fumagalli, Roberto
- Abstract
Background: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency departments could improve management during this global crisis. Our main goal was assessing the accuracy of artificial intelligence in predicting the results of RT-PCR for SARS-COV-2, using basic information at hand in all emergency departments. Methods: This is a retrospective study carried out between February 22, 2020 and March 16, 2020 in one of the main hospitals in Milan, Italy. We screened for eligibility all patients admitted with influenza-like symptoms tested for SARS-COV-2. Patients under 12 years old and patients in whom the leukocyte formula was not performed in the ED were excluded. Input data through artificial intelligence were made up of a combination of clinical, radiological and routine laboratory data upon hospital admission. Different Machine Learning algorithms available on WEKA data mining software and on Semeion Research Centre depository were trained using both the Training and Testing and the K-fold cross-validation protocol. Results: Among 199 patients subject to study (median [interquartile range] age 65 [46–78] years; 127 [63.8%] men), 124 [62.3%] resulted positive to SARS-COV-2. The best Machine Learning System reached an accuracy of 91.4% with 94.1% sensitivity and 88.7% specificity. Conclusion: Our study suggests that properly trained artificial intelligence algorithms may be able to predict correct results in RT-PCR for SARS-COV-2, using basic clinical data. If confirmed, on a larger-scale study, this approach could have important clinical and organizational implications.
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- 2020
27. Pre- and in-hospital anticoagulation therapy in coronavirus disease 2019 patients: a propensity-matched analysis of in-hospital outcomes
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Ilaria Battistoni, Matteo Francioni, Nuccia Morici, Andrea Rubboli, Gian Marco Podda, Andrea Pappalardo, Mohamed E.A. Abdelrahim, Marwa O. Elgendy, Sara O. Elgendy, Ahmed M. Khalaf, Ahmed Abdel M. Hamied, Héctor Hernández Garcés, Omar E.S. Abdelhamid, Karim A.M. Tawfik, Anna Zeduri, Gabriele Bassi, Giulia Pongetti, Luca Angelini, Stefano Giovinazzo, Pablo Martinez Garcia, Francesco Saverio Serino, Giorgio Emanuele Polistina, Giuseppe Fiorentino, Giovanni Barbati, Anna Toniolo, Azzurra Fabbrizioli, Alberto Belenguer-Muncharaz, Italo Porto, Sibel Ocak, Pietro Minuz, Francisco Bernal, Irina Hermosilla, and Josip A. Borovac
- Subjects
chronic anticoagulant therapy ,coronavirus disease 2019 ,COVID-19 ,heparin, hospital outcomes, low molecular weight heparin (LMWH), SARS-COV-2 ,coronavirus 2 ,bleeding ,death ,propensity score matching ,PMS ,analysis ,SARS- coronavirus 2 ,SARS-CoV-2 ,Anticoagulants ,General Medicine ,heparin ,Acute Kidney Injury ,Hospitals ,Cohort Studies ,hospital outcomes ,COVID-19 Testing ,Risk Factors ,Low Molecular Weight Heparin ,Humans ,Hospital Mortality ,Cardiology and Cardiovascular Medicine ,Retrospective Studies - Abstract
AIMS: To estimate if chronic anticoagulant (CAC) treatment is associated with morbidity and mortality outcomes of patients hospitalized for SARS-CoV-2 infection. METHODS: In this European multicentric cohort study, we included 1186 patients of whom 144 were on CAC (12.1%) with positive coronavirus disease 2019 testing between 1 February and 30 July 2020. The average treatment effect (ATE) analysis with a propensity score-matching (PSM) algorithm was used to estimate the impact of CAC on the primary outcomes defined as in-hospital death, major and minor bleeding events, cardiovascular complications (CCI), and acute kidney injury (AKI). We also investigated if different dosages of in-hospital heparin were associated with in-hospital survival. RESULTS: In unadjusted populations, primary outcomes were significantly higher among CAC patients compared with non-CAC patients: all-cause death (35% vs. 18% P < 0.001), major and minor bleeding (14% vs. 8% P = 0.026; 25% vs. 17% P = 0.014), CCI (27% vs. 14% P < 0.001), and AKI (42% vs. 19% P < 0.001). In ATE analysis with PSM, there was no significant association between CAC and primary outcomes except for an increased incidence of AKI (ATE +10.2%, 95% confidence interval 0.3-20.1%, P = 0.044). Conversely, in-hospital heparin, regardless of dose, was associated with a significantly higher survival compared with no anticoagulation. CONCLUSIONS: The use of CAC was not associated with the primary outcomes except for the increase in AKI. However, in the adjusted survival analysis, any dose of in-hospital anticoagulation was associated with significantly higher survival compared with no anticoagulation.
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- 2022
28. COVID-19 lockdown impact on familial relationships and mental health in a large representative sample of Italian adults
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Margherita Zeduri, Giacomo Pietro Vigezzi, Greta Carioli, Alessandra Lugo, Chiara Stival, Andrea Amerio, Giuseppe Gorini, Roberta Pacifici, Pierluigi Politi, Silvano Gallus, and Anna Odone
- Subjects
Adult ,Health (social science) ,Social Psychology ,SARS-CoV-2 ,Epidemiology ,COVID-19 ,Anxiety ,Psychiatry and Mental health ,Cross-Sectional Studies ,Mental Health ,Italy ,Communicable Disease Control ,Humans ,Child ,Aged - Abstract
Purpose Benefits of national-level stay-at-home order imposed in Italy to prevent SARS-CoV-2 transmission need to be carefully weighed against its impact on citizens’ health. In a country with a strong familial culture and where welfare relies on households, confinement drastically decreased support provided by elder relatives, which may have resulted in mental health worsening. Methods A web-based cross-sectional study (LOST in Italy) was conducted on a representative sample of Italian adults during lockdown (27th of April–3rd of May 2020). We asked 3156 subjects to report on reduced help in housework and childcare from retired parents to assess the impact of confinement on mental health, through validated scales before and during lockdown. Results Overall, 1484 (47.0%) subjects reported reduced housework help from parents, and 769 (64.0%, of the 1202 subjects with children) diminished babysitting support. Subjects reporting reduced housework help had worsened sleep quality (multivariate odds ratio, OR = 1.74, 95% confidence interval, CI 1.49–2.03) and quantity (OR = 1.50, 95% CI 1.28–1.76), depressive (OR = 1.32, 95% CI 1.14–1.53) and anxiety symptoms (OR = 1.53, 95% CI 1.32–1.78), compared to those reporting unreduced help. Worsening in sleep quality (OR = 2.32, 95% CI 1.76–3.05), and quantity (OR = 1.80, 95% CI 1.36–2.37), depressive (OR = 1.79, 95% CI 1.39–2.31) and anxiety symptoms (OR = 1.90, 95% CI 1.48–2.46) was also associated with reduced babysitting help. Mental health outcomes were worse in subjects with poorer housing and teleworking during lockdown. Conclusion Confinement came along with reduced familial support from parents, negatively impacting household members’ mental health. Our findings might inform evidence-based family and welfare policies to promote population health within and beyond pandemic times.
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- 2022
29. The PROVENT-C19 registry: A study protocol for international multicenter SIAARTI registry on the use of prone positioning in mechanically ventilated patients with COVID-19 ARDS
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De Rosa, S., Sella, N., Rezoagli, E., Lorenzoni, G., Gregori, D., Bellani, G., Foti, G., Pettenuzzo, T., Baratto, F., Fullin, G., Papaccio, F., Peta, M., Poole, D., Toffoletto, F., Maggiore, S. M., Navales, P., Navalesi, P., Tiberio, I., Pasin, L., Godi, I., Serra, E., Zarantonello, F., Andreatta, G., Boscolo, A., Persona, P., Cattin, L., Forin, E., Boni, E., Golino, G., Danzi, V., Vetrugno, L., Cornacchia, N., Donadello, K., Gottin, L., Polati, E., Campagnolo, M., Linassi, F., Panciera, G., Garofalo, E., Bruni, A., Carlon, R., Pipitone, M., Candosin, A., Badii, F., Role, S. D., Girardis, M., Busani, S., Gamberini, E., Tartivita, C. N., Gamberini, L., Cortegiani, A., Frisella, S., Ippolito, M., Salvo, F., Greco, M., Cecconi, M., Aceto, R., Langer, T., Repishti, M., Zeduri, A., Ottolina, D., Fossali, T., Colombo, R., Predonzani, N., Ferluga, M., Blasi, S. D., Zardin, M., Vergine, S., Luccarelli, G., Tritapepe, L., Francesconi, A. G., Pagani, M., Mojoli, F., Orlando, A., Mongodi, S., Bitondo, M., Johnathan, M., Maugeri, J., Bellissima, A., Guzzardella, A., Vallecoccia, M. S., Spadaro, S., Cricca, V., Andriolo, E., Bianchin, A., Alampi, D., Rocco, M., Anchisi, S., Tenaglia, T., Nicoletti, R., Antonini, B., Zanaty, M., Mogahed, M., Ali, A., Emara, M., Abdullah, E., Awad, A. K., Abdel-Maboud, M., Hussein, A. M., Hussein, A. A. R. M., Mosleh, A. A., Ahmed, M. G., Aziz, M. G., Elsayed, A., Aldhalia, A., Elkhatid, A., Abodina, A. M., Khalleefah, A., Shalabi, L. E., Shamed, H., Bakeer, H. B., Hawad, A., Abuzaid, T., Alqandouz, R. A. S., Saliga, A. A., Haddud, A., Kredan, A. A., Shaban, M. S., Salama, A. A., Altabit, A. E. R. M., Alflite, A. O. S., Hashim, H. T., Kadhim, Q. M., Abd-Alreda, A. H., Al-Juifari, M. A., Al-Gburi, S. M., Akram, A., Laila, A., Bakri, A., Abdelmageed, A., Binnawara, M., Mohamed, M., Esaadi, H., Othman, E., Said, A., Alarabi, R., Alameen, H., Albouishi, N., Babaa, K. A., Salih, R., Elbakheet, D. E., Abuelyamen, A., Perez-Torres, D., Mattson, J., Al-Sadawi, M., Elseidy, S., De Rosa, Silvia, Sella, Nicolò, Rezoagli, Emanuele, Lorenzoni, Giulia, Gregori, Dario, Bellani, Giacomo, Foti, Giuseppe, Pettenuzzo, Tommaso, Baratto, Fabio, Fullin, Giorgio, Papaccio, Francesco, Peta, Mario, Poole, Daniele, Toffoletto, Fabio, Maggiore, Salvatore Maurizio, Navalesi, Paolo, SIAARTI Study group, Cortegiani, Andrea, Frisella, Sara, and Ippolito, Mariachiara
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Multidisciplinary ,prone position ,respiratory failure ,COVID-19 - Abstract
Background The worldwide use of prone position (PP) for invasively ventilated patients with COVID-19 is progressively increasing from the first pandemic wave in everyday clinical practice. Among the suggested treatments for the management of ARDS patients, PP was recommended in the Surviving Sepsis Campaign COVID-19 guidelines as an adjuvant therapy for improving ventilation. In patients with severe classical ARDS, some authors reported that early application of prolonged PP sessions significantly decreases 28-day and 90-day mortality. Methods and analysis Since January 2021, the COVID19 Veneto ICU Network research group has developed and implemented nationally and internationally the “PROVENT-C19 Registry”, endorsed by the Italian Society of Anesthesia Analgesia Resuscitation and Intensive Care…’(SIAARTI). The PROVENT-C19 Registry wishes to describe 1. The real clinical practice on the use of PP in COVID-19 patients during the pandemic at a National and International level; and 2. Potential baseline and clinical characteristics that identify subpopulations of invasively ventilated patients with COVID-19 that may improve daily from PP therapy. This web-based registry will provide relevant information on how the database research tools may improve our daily clinical practice. Conclusions This multicenter, prospective registry is the first to identify and characterize the role of PP on clinical outcome in COVID-19 patients. In recent years, data emerging from large registries have been increasingly used to provide real-world evidence on the effectiveness, quality, and safety of a clinical intervention. Indeed observation-based registries could be effective tools aimed at identifying specific clusters of patients within a large study population with widely heterogeneous clinical characteristics. Trial registration The registry was registered (ClinicalTrial.Gov Trials Register NCT04905875) on May 28,2021.
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- 2022
30. Use of Machine Learning to Rapidly Predict Positivity to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) Using Basic Clinical Data
- Author
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Thomas Langer, Martina Favarato, Riccardo Giudici, Gabriele Bassi, Roberta Garberi, Fabiana Villa, Hedwige Gay, Anna Zeduri, Sara Bragagnolo, Alberto Molteni, Andrea Beretta, Matteo Corradin, Mauro Moreno, Chiara Vismara, Carlo Federico Perno, Massimo Buscema, Enzo Grossi, and Roberto Fumagalli
- Subjects
business.industry ,Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) ,Medicine ,business ,Virology - Abstract
Objective: Reverse Transcription-Polymerase Chain Reaction (RT-PCR) for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) diagnosis currently requires quite a long time span. A quicker and more efficient diagnostic tool in emergency departments could improve management during this global crisis. Our maingoal was assessing the accuracy of artificial intelligence in forecasting the resultsof RT-PCR for SARS-COV-2, using basic information at hand in all emergencydepartments.Methods: This is a retrospective study carried out between February 22 and March 16 2020 in one of the main hospitals in Milan, Italy. We screened for eligibility all patients admitted with influenza-like symptoms tested for SARS-COV-2.Patients under 12 years old, with no leukocyte formula performed in the ED,were excluded. Input data through artificial intelligence were made up of a combination of clinical, radiological and routine laboratory data upon hospital admission.Results: Among 199 patients subject to study (median [interquartile range] age 65 [46-78] years; 127 [63.8%] men), 124 [62.3%] resulted positive to SARS-COV-2. The best Machine Learning System reached an accuracy of 91.4% with 94.1% sensitivity and 88.7% specificity.Conclusion: Our study suggests that properly trained artificial intelligence algorithms may be able to predict correct results in RT-PCR for SARS-COV-2, using basic clinical data. If confirmed,on a larger-scale study, this approach could have important clinical and organizational implications.
- Published
- 2020
31. Additional file 1 of Development of machine learning models to predict RT-PCR results for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data
- Author
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Langer, Thomas, Favarato, Martina, Giudici, Riccardo, Bassi, Gabriele, Garberi, Roberta, Villa, Fabiana, Gay, Hedwige, Zeduri, Anna, Bragagnolo, Sara, Molteni, Alberto, Beretta, Andrea, Corradin, Matteo, Moreno, Mauro, Vismara, Chiara, Perno, Carlo Federico, Buscema, Massimo, Grossi, Enzo, and Fumagalli, Roberto
- Abstract
Additional file 1. Additional materials, methods and results.
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- 2020
- Full Text
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32. Pre- and in-hospital anticoagulation therapy in coronavirus disease 2019 patients: a propensity-matched analysis of in-hospital outcomes.
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Battistoni, Ilaria, Francioni, Matteo, Morici, Nuccia, Rubboli, Andrea, Podda, Gian Marco, Pappalardo, Andrea, Abdelrahim, Mohamed E.A., Elgendy, Marwa O., Elgendy, Sara O., Khalaf, Ahmed M., Hamied, Ahmed Abdel M., Garces, Hector Hernandez, Abdelhamid, Omar E.S., Tawfik, Karim A.M., Zeduri, Anna, Bassi, Gabriele, Pongetti, Giulia, Angelini, Luca, Giovinazzo, Stefano, and Garcia, Pablo Martinez
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- 2022
- Full Text
- View/download PDF
33. Development of Machine Learning models to predict RT-PCR results for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) in patients with influenza-like symptoms using only basic clinical data.
- Author
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Langer, Thomas, primary, Favarato, Martina, additional, Giudici, Riccardo, additional, Bassi, Gabriele, additional, Garberi, Roberta, additional, Villa, Fabiana, additional, Gay, Hedwige, additional, Zeduri, Anna, additional, Bragagnolo, Sara, additional, Molteni, Alberto, additional, Beretta, Andrea, additional, Corradin, Matteo, additional, Moreno, Mauro, additional, Vismara, Chiara, additional, Perno, Carlo Federico, additional, Buscema, Massimo, additional, Grossi, Enzo, additional, and Fumagalli, Roberto, additional
- Published
- 2020
- Full Text
- View/download PDF
34. Use of Machine Learning to Rapidly Predict Positivity to Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-COV-2) Using Basic Clinical Data
- Author
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Langer, Thomas, primary, Favarato, Martina, additional, Giudici, Riccardo, additional, Bassi, Gabriele, additional, Garberi, Roberta, additional, Villa, Fabiana, additional, Gay, Hedwige, additional, Zeduri, Anna, additional, Bragagnolo, Sara, additional, Molteni, Alberto, additional, Beretta, Andrea, additional, Corradin, Matteo, additional, Moreno, Mauro, additional, Vismara, Chiara, additional, Perno, Carlo Federico, additional, Buscema, Massimo, additional, Grossi, Enzo, additional, and Fumagalli, Roberto, additional
- Published
- 2020
- Full Text
- View/download PDF
35. Coronary Heart Disease and the Ischemic Demise of a Beloved Fictional Hero: Hercule Poirot of Agatha Christie Fame
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Derek R. Smith, Anna Zeduri, M Turato, Michele Augusto Riva, Cecilia Ferretti, Ferretti, C, Zeduri, A, Smith, D, Turato, M, and Riva, M
- Subjects
Literature ,medicine.medical_specialty ,biology ,business.industry ,Agatha ,Cardiovascular risk factors ,Character (symbol) ,Disease ,Demise ,biology.organism_classification ,030210 environmental & occupational health ,humanities ,Coronary heart disease ,03 medical and health sciences ,0302 clinical medicine ,Internal medicine ,MED/02 - STORIA DELLA MEDICINA ,Cardiology ,Medicine ,HERO ,History of Medicine ,030212 general & internal medicine ,Cardiology and Cardiovascular Medicine ,business ,Cause of death - Abstract
The most likely cause of death of Hercule Poirot, the fictional Belgian detective created by Agatha Christie, was advanced coronary heart disease due to several cardiovascular risk factors. To investigate this hypothesis, the authors scrutinized all Agatha Christie books which included Poirot as their main character and examined his lifestyle and physical symptoms. Although the English writer was likely unaware of the now well-known links between Poirot's lifestyle and his exitus, considering the predominant therapeutic options for cardiovascular disease when the books were written and comparing them with Poirot's life, the authors were able to establish the severity and progression of his illness. Agatha Christie's novels also provide some unexpected information on knowledge regarding cardiovascular diseases in the twentieth century.
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- 2018
36. Coronary Heart Disease and the Ischemic Demise of a Beloved Fictional Hero: Hercule Poirot of Agatha Christie Fame
- Author
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Ferretti, C, Zeduri, A, Smith, D, Turato, M, Riva, M, Smith, Dr, Riva, Ma, Ferretti, C, Zeduri, A, Smith, D, Turato, M, Riva, M, Smith, Dr, and Riva, Ma
- Abstract
The most likely cause of death of Hercule Poirot, the fictional Belgian detective created by Agatha Christie, was advanced coronary heart disease due to several cardiovascular risk factors. To investigate this hypothesis, the authors scrutinized all Agatha Christie books which included Poirot as their main character and examined his lifestyle and physical symptoms. Although the English writer was likely unaware of the now well-known links between Poirot's lifestyle and his exitus, considering the predominant therapeutic options for cardiovascular disease when the books were written and comparing them with Poirot's life, the authors were able to establish the severity and progression of his illness. Agatha Christie's novels also provide some unexpected information on knowledge regarding cardiovascular diseases in the twentieth century
- Published
- 2018
37. Coronary Heart Disease and the Ischemic Demise of a Beloved Fictional Hero: Hercule Poirot of Agatha Christie Fame
- Author
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Ferretti, Cecilia, primary, Zeduri, Anna, additional, Smith, Derek R., additional, Turato, Massimo, additional, and Riva, Michele Augusto, additional
- Published
- 2018
- Full Text
- View/download PDF
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