22 results on '"Hara, Gabriel Levy"'
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2. Clinical phenotypes and quality of life to define post-COVID-19 syndrome: a cluster analysis of the multinational, prospective ORCHESTRA cohort
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Pinho Guedes, Mariana Nunes, Maccarrone, Gaia, Pezzani, Maria Diletta, Sibani, Marcella, Davies, Ruth Joanna, Vitali, Stefania, Franchina, Giorgia, Tomassini, Giorgia, Sciammarella, Concetta, Cecchetto, Riccardo, Gibellini, Davide, De Toffoli, Chiara Konishi, Rosini, Giulia, Perlini, Chiara, Meroi, Marco, Cioli Puviani, Filippo, Fasan, Daniele, Micheletto, Claudio, Montemezzi, Stefania, Cardobi, Nicolò, Vantini, Gianluca, Mazzali, Gloria, Stabile, Giovanni, Marcanti, Maddalena, Zonta, Marco Pattaro, Calì, Deborah, Mason, Anna, Perlini, Cinzia, Gisondi, Paolo, Mongardi, Maria, Sorbello, Simona, Wold, Karin I., Vincenti-González, María F., Veloo, Alida C.M., Harmsma, Valerie P.R., Pantano, Daniele, van der Meer, Margriet, Gard, Lilli, Lizarazo, Erley F., Knoester, Marjolein, Friedrich, Alex W., Niesters, Hubert G.M., Viale, Pierluigi, Marzolla, Domenico, Cosentino, Federica, Di Chiara, Michela, Fornaro, Giacomo, Bonazzetti, Cecilia, Tazza, Beatrice, Toschi, Alice, Vetamanu, Oana, Giacomini, Maria Eugenia, Trapani, Fabio, Marconi, Lorenzo, Attard, Luciano, Tedeschi, Sara, Gabrielli, Liliana, Lazzarotto, Tiziana, Olivares, Paula, Castilla, Javier, Vélez, Javier, Almadana, Virginia, Martín-Barrera, Lucía, Martín-Gutiérrez, Ana Belén, Gutiérrez-Campos, David, Fernández-Regaña, Marta, Silva-Campos, Ana, Fernández-Riejos, Patricia, García-Sánchez, M. Isabel, Giuliano, Carla V., López, Carlota, Neumann, Gabriela, Camporro, Julieta, de Vedia, Lautaro, Agugliaro, Hugo, Scipione, Gabriella, Dellacasa, Chiara, Chandramouli, Balasubramanian, Gioiosa, Silvia, Naranjo, Juan Mata, Ortali, Maurizio, Konnova, Angelina, Gupta, Akshita, Smet, Mathias, Hotterbeekx, An, Berkell, Matilda, Sicuri, Elisa, Bachelet, Delphine, Bouadma, Lila, Cervantes-Gonzalez, Minerva, Chair, Anissa, Charpentier, Charlotte, Chenard, Léo, Descamps, Diane, Doan, Hang, Duval, Xavier, Esposito-Farese, Marina, Hoffmann, Isabelle, Kafif, Ouifiya, Le Hingrat, Quentin, Letrou, Sophie, Mentré, France, Schneider, Marion, Tardivon, Coralie, Timsit, Jean-Francois, Tubiana, Sarah, Abrous, Amal, Couffin-Cadiergues, Sandrine, Da Silva, Fernanda Dias, Esperou, Hélène, Houas, Ikram, Jaafoura, Salma, Papadopoulos, Aurélie, Ansart, Severine, Auvet, Adrien, Bani-Sadr, Firouzé, Bernard, L., Bissuel, François, Botelho-Nevers, Elisabeth, Bouhour, Damien, Cabié, André, Caraux Paz, Pauline, Chidiac, Christian, Chirouze, Catherine, Chroboczek, Tomasz, Cordel, Hugues, Courtois, Roxane, De Castro, Nathalie, Diamamntis, Sylvain, Diehl, Jean-Luc, Djossou, Felix, Dorival, Céline, Epaulard, Olivier, Gaborieau, Valerie, Goehringer, François, Gousseff, Marie, Jamard, Simon, Joseph, Cedric, Lacombe, Karine, Le Mestre, Soizic, Le Moing, Vincent, Lelievre, Jean-Daniel, Lesens, Olivier, Machado, M., Maillet, Mylène, Manda, Victoria, Martin-Blondel, Guillaume, Martinot, Martin, Meysonnier, Vanina, Molina, Jean-Michel, Oziol, Eric, Pestre, Vincent, Piroth, Lionel, Poissy, Julien, Rabaud, Christian, Raffi, François, Rammaert, Blandine, Rapp, Christophe, Rebaudet, Stanislas, Roger, Pierre-Marie, Roux, Damien, Senneville, Eric, Tattevin, Pierre, Wiedemann, Aurélie, Zucman, David, Gentilotti, Elisa, Górska, Anna, Tami, Adriana, Gusinow, Roy, Mirandola, Massimo, Rodríguez Baño, Jesús, Palacios Baena, Zaira R., Rossi, Elisa, Hasenauer, Jan, Lopes-Rafegas, Iris, Righi, Elda, Caroccia, Natascia, Cataudella, Salvatore, Pasquini, Zeno, Osmo, Thomas, Del Piccolo, Lidia, Savoldi, Alessia, Kumar-Singh, Samir, Mazzaferri, Fulvia, Caponcello, Maria Giulia, de Boer, Gerolf, Hara, Gabriel Levy, De Nardo, Pasquale, Malhotra, Surbhi, Canziani, Lorenzo Maria, Ghosn, Jade, Florence, Aline-Marie, Lafhej, Nadhem, van der Gun, Bernardina T.F., Giannella, Maddalena, Laouénan, Cédric, and Tacconelli, Evelina
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- 2023
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3. Clinical phenotypes and quality of life to define post-COVID-19 syndrome: a cluster analysis of the multinational, prospective ORCHESTRA cohort
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Gentilotti, Elisa, primary, Górska, Anna, additional, Tami, Adriana, additional, Gusinow, Roy, additional, Mirandola, Massimo, additional, Rodríguez Baño, Jesús, additional, Palacios Baena, Zaira R., additional, Rossi, Elisa, additional, Hasenauer, Jan, additional, Lopes-Rafegas, Iris, additional, Righi, Elda, additional, Caroccia, Natascia, additional, Cataudella, Salvatore, additional, Pasquini, Zeno, additional, Osmo, Thomas, additional, Del Piccolo, Lidia, additional, Savoldi, Alessia, additional, Kumar-Singh, Samir, additional, Mazzaferri, Fulvia, additional, Caponcello, Maria Giulia, additional, de Boer, Gerolf, additional, Hara, Gabriel Levy, additional, De Nardo, Pasquale, additional, Malhotra, Surbhi, additional, Canziani, Lorenzo Maria, additional, Ghosn, Jade, additional, Florence, Aline-Marie, additional, Lafhej, Nadhem, additional, van der Gun, Bernardina T.F., additional, Giannella, Maddalena, additional, Laouénan, Cédric, additional, Tacconelli, Evelina, additional, Pinho Guedes, Mariana Nunes, additional, Maccarrone, Gaia, additional, Pezzani, Maria Diletta, additional, Sibani, Marcella, additional, Davies, Ruth Joanna, additional, Vitali, Stefania, additional, Franchina, Giorgia, additional, Tomassini, Giorgia, additional, Sciammarella, Concetta, additional, Cecchetto, Riccardo, additional, Gibellini, Davide, additional, De Toffoli, Chiara Konishi, additional, Rosini, Giulia, additional, Perlini, Chiara, additional, Meroi, Marco, additional, Puviani, Filippo Cioli, additional, Fasan, Daniele, additional, Micheletto, Claudio, additional, Montemezzi, Stefania, additional, Cardobi, Nicolò, additional, Vantini, Gianluca, additional, Mazzali, Gloria, additional, Stabile, Giovanni, additional, Marcanti, Maddalena, additional, Zonta, Marco Pattaro, additional, Calì, Deborah, additional, Mason, Anna, additional, Perlini, Cinzia, additional, Gisondi, Paolo, additional, Mongardi, Maria, additional, Sorbello, Simona, additional, Wold, Karin I., additional, Vincenti-González, María F., additional, Veloo, Alida C.M., additional, Harmsma, Valerie P.R., additional, Pantano, Daniele, additional, van der Meer, Margriet, additional, Gard, Lilli, additional, Lizarazo, Erley F., additional, Knoester, Marjolein, additional, Friedrich, Alex W., additional, Niesters, Hubert G.M., additional, Viale, Pierluigi, additional, Marzolla, Domenico, additional, Cosentino, Federica, additional, Di Chiara, Michela, additional, Fornaro, Giacomo, additional, Bonazzetti, Cecilia, additional, Tazza, Beatrice, additional, Toschi, Alice, additional, Vetamanu, Oana, additional, Giacomini, Maria Eugenia, additional, Trapani, Fabio, additional, Marconi, Lorenzo, additional, Attard, Luciano, additional, Tedeschi, Sara, additional, Gabrielli, Liliana, additional, Lazzarotto, Tiziana, additional, Olivares, Paula, additional, Castilla, Javier, additional, Vélez, Javier, additional, Almadana, Virginia, additional, Martín-Barrera, Lucía, additional, Martín-Gutiérrez, Ana Belén, additional, Gutiérrez-Campos, David, additional, Fernández-Regaña, Marta, additional, Silva-Campos, Ana, additional, Fernández-Riejos, Patricia, additional, García-Sánchez, M. Isabel, additional, Giuliano, Carla V., additional, López, Carlota, additional, Neumann, Gabriela, additional, Camporro, Julieta, additional, de Vedia, Lautaro, additional, Agugliaro, Hugo, additional, Scipione, Gabriella, additional, Dellacasa, Chiara, additional, Chandramouli, Balasubramanian, additional, Gioiosa, Silvia, additional, Naranjo, Juan Mata, additional, Ortali, Maurizio, additional, Konnova, Angelina, additional, Gupta, Akshita, additional, Smet, Mathias, additional, Hotterbeekx, An, additional, Berkell, Matilda, additional, Sicuri, Elisa, additional, Bachelet, Delphine, additional, Bouadma, Lila, additional, Cervantes-Gonzalez, Minerva, additional, Chair, Anissa, additional, Charpentier, Charlotte, additional, Chenard, Léo, additional, Descamps, Diane, additional, Doan, Hang, additional, Duval, Xavier, additional, Esposito-Farese, Marina, additional, Hoffmann, Isabelle, additional, Kafif, Ouifiya, additional, Le Hingrat, Quentin, additional, Letrou, Sophie, additional, Mentré, France, additional, Schneider, Marion, additional, Tardivon, Coralie, additional, Timsit, Jean-Francois, additional, Tubiana, Sarah, additional, Abrous, Amal, additional, Couffin-Cadiergues, Sandrine, additional, Da Silva, Fernanda Dias, additional, Esperou, Hélène, additional, Houas, Ikram, additional, Jaafoura, Salma, additional, Papadopoulos, Aurélie, additional, Ansart, Severine, additional, Auvet, Adrien, additional, Bani-Sadr, Firouzé, additional, Bernard, L., additional, Bissuel, François, additional, Botelho-Nevers, Elisabeth, additional, Bouhour, Damien, additional, Cabié, André, additional, Caraux Paz, Pauline, additional, Chidiac, Christian, additional, Chirouze, Catherine, additional, Chroboczek, Tomasz, additional, Cordel, Hugues, additional, Courtois, Roxane, additional, De Castro, Nathalie, additional, Diamamntis, Sylvain, additional, Diehl, Jean-Luc, additional, Djossou, Felix, additional, Dorival, Céline, additional, Epaulard, Olivier, additional, Gaborieau, Valerie, additional, Goehringer, François, additional, Gousseff, Marie, additional, Jamard, Simon, additional, Joseph, Cedric, additional, Lacombe, Karine, additional, Le Mestre, Soizic, additional, Le Moing, Vincent, additional, Lelievre, Jean-Daniel, additional, Lesens, Olivier, additional, Machado, M., additional, Maillet, Mylène, additional, Manda, Victoria, additional, Martin-Blondel, Guillaume, additional, Martinot, Martin, additional, Meysonnier, Vanina, additional, Molina, Jean-Michel, additional, Oziol, Eric, additional, Pestre, Vincent, additional, Piroth, Lionel, additional, Poissy, Julien, additional, Rabaud, Christian, additional, Raffi, François, additional, Rammaert, Blandine, additional, Rapp, Christophe, additional, Rebaudet, Stanislas, additional, Roger, Pierre-Marie, additional, Roux, Damien, additional, Senneville, Eric, additional, Tattevin, Pierre, additional, Wiedemann, Aurélie, additional, and Zucman, David, additional
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- 2023
- Full Text
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4. Clinical phenotypes and quality of life to define post-COVID-19 syndrome: a cluster analysis of the multinational, prospective ORCHESTRA cohort
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European Commission, Netherlands Organisation for Health Research and Development, Institut National de la Santé et de la Recherche Médicale (France), Ministère des Affaires sociales, de la Santé et des Droits des femmes (France), Gentilotti, Elisa, Górska, Anna, Tami, Adriana, Gusinow, Roy, Mirandola, Massimo, Rodríguez-Baño, Jesús, Palacios-Baena, Zaira Raquel, Rossi, Elisa, Hasenauer, Jan, Lopes-Rafegas, Iris, Righi, Elda, Caroccia, Natascia, Cataudella, Salvatore, Pasquini, Zeno, Osmo, Thomas, Piccolo, Lidia Del, Savoldi, Alessia, Kumar-Singh, Samir, Mazzaferri, Fulvia, Caponcello, Maria Giulia, Boer, Gerolf de, Hara, Gabriel Levy, ORCHESTRA Study Groupt, Nardo, Pasquale De, Malhotra, Surbhi, Canziani, Lorenzo Maria, Ghosn, Jade, Florence, Aline-Marie, Lafhej, Nadhem, van der Gun, Bernardina T. F., Giannella, Maddalena, Laouénan, Cédric, Tacconelli, Evelina, European Commission, Netherlands Organisation for Health Research and Development, Institut National de la Santé et de la Recherche Médicale (France), Ministère des Affaires sociales, de la Santé et des Droits des femmes (France), Gentilotti, Elisa, Górska, Anna, Tami, Adriana, Gusinow, Roy, Mirandola, Massimo, Rodríguez-Baño, Jesús, Palacios-Baena, Zaira Raquel, Rossi, Elisa, Hasenauer, Jan, Lopes-Rafegas, Iris, Righi, Elda, Caroccia, Natascia, Cataudella, Salvatore, Pasquini, Zeno, Osmo, Thomas, Piccolo, Lidia Del, Savoldi, Alessia, Kumar-Singh, Samir, Mazzaferri, Fulvia, Caponcello, Maria Giulia, Boer, Gerolf de, Hara, Gabriel Levy, ORCHESTRA Study Groupt, Nardo, Pasquale De, Malhotra, Surbhi, Canziani, Lorenzo Maria, Ghosn, Jade, Florence, Aline-Marie, Lafhej, Nadhem, van der Gun, Bernardina T. F., Giannella, Maddalena, Laouénan, Cédric, and Tacconelli, Evelina
- Abstract
[Background] Lack of specific definitions of clinical characteristics, disease severity, and risk and preventive factors of post-COVID-19 syndrome (PCS) severely impacts research and discovery of new preventive and therapeutics drugs., [Methods] This prospective multicenter cohort study was conducted from February 2020 to June 2022 in 5 countries, enrolling SARS-CoV-2 out- and in-patients followed at 3-, 6-, and 12-month from diagnosis, with assessment of clinical and biochemical features, antibody (Ab) response, Variant of Concern (VoC), and physical and mental quality of life (QoL). Outcome of interest was identification of risk and protective factors of PCS by clinical phenotype, setting, severity of disease, treatment, and vaccination status. We used SF-36 questionnaire to assess evolution in QoL index during follow-up and unsupervised machine learning algorithms (principal component analysis, PCA) to explore symptom clusters. Severity of PCS was defined by clinical phenotype and QoL. We also used generalized linear models to analyse the impact of PCS on QoL and associated risk and preventive factors. CT registration number: NCT05097677., [Findings] Among 1796 patients enrolled, 1030 (57%) suffered from at least one symptom at 12-month. PCA identified 4 clinical phenotypes: chronic fatigue-like syndrome (CFs: fatigue, headache and memory loss, 757 patients, 42%), respiratory syndrome (REs: cough and dyspnoea, 502, 23%); chronic pain syndrome (CPs: arthralgia and myalgia, 399, 22%); and neurosensorial syndrome (NSs: alteration in taste and smell, 197, 11%). Determinants of clinical phenotypes were different (all comparisons p < 0.05): being female increased risk of CPs, NSs, and CFs; chronic pulmonary diseases of REs; neurological symptoms at SARS-CoV-2 diagnosis of REs, NSs, and CFs; oxygen therapy of CFs and REs; and gastrointestinal symptoms at SARS-CoV-2 diagnosis of CFs. Early treatment of SARS-CoV-2 infection with monoclonal Ab (all clinical phenotypes), corticosteroids therapy for mild/severe cases (NSs), and SARS-CoV-2 vaccination (CPs) were less likely to be associated to PCS (all comparisons p < 0.05). Highest reduction in QoL was detected in REs and CPs (43.57 and 43.86 vs 57.32 in PCS-negative controls, p < 0.001). Female sex (p < 0.001), gastrointestinal symptoms (p = 0.034) and renal complications (p = 0.002) during the acute infection were likely to increase risk of severe PCS (QoL <50). Vaccination and early treatment with monoclonal Ab reduced the risk of severe PCS (p = 0.01 and p = 0.03, respectively)., [Interpretation] Our study provides new evidence suggesting that PCS can be classified by clinical phenotypes with different impact on QoL, underlying possible different pathogenic mechanisms. We identified factors associated to each clinical phenotype and to severe PCS. These results might help in designing pathogenesis studies and in selecting high-risk patients for inclusion in therapeutic and management clinical trials.
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- 2023
5. Antibiotic resistance—the need for global solutions
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Laxminarayan, Ramanan, Duse, Adriano, Wattal, Chand, Zaidi, Anita K M, Wertheim, Heiman F L, Sumpradit, Nithima, Vlieghe, Erika, Hara, Gabriel Levy, Gould, Ian M, Goossens, Herman, Greko, Christina, So, Anthony D, Bigdeli, Maryam, Tomson, Göran, Woodhouse, Will, Ombaka, Eva, Peralta, Arturo Quizhpe, Qamar, Farah Naz, Mir, Fatima, Kariuki, Sam, Bhutta, Zulfiqar A, Coates, Anthony, Bergstrom, Richard, Wright, Gerard D, Brown, Eric D, and Cars, Otto
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- 2013
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6. Correction to: Point prevalence survey of antibiotic use in hospitals in Latin American countries
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Hara, Gabriel Levy, primary, Rojas-Cortés, Robin, additional, Molina León, Helvert Felipe, additional, Mansilla, Anahí Dreser, additional, Orta, Ismary Alfonso, additional, Rizo-Amezquita, José Noe, additional, Santos Herrera, René Guillermo, additional, de Ayala, Silvia Mendoza, additional, Villalobos, Marlen Arce, additional, Ponte, Hilda Mantilla, additional, Davila, Ever, additional, Aguilar, Gloria, additional, Porrás, Analía, additional, Ramón-Pardo, Pilar, additional, and Castro, José Luis, additional
- Published
- 2022
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7. Macro level influences on strategic responses to the COVID-19 pandemic - an international survey and tool for national assessments
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Ahmad, Raheelah, Atun, Rifat A, Birgand, Gabriel, Castro-Sánchez, Enrique, Charani, Esmita, Ferlie, Ewan B, Hussain, Izhar, Kambugu, Andrew, Labarca, Jaime, Hara, Gabriel Levy, McKee, Martin, Mendelson, Marc, Singh, Sanjeev, Varma, Jay, Zhu, Nina J, Zingg, Walter, Holmes, Alison H, and COMPASS (COntrol and Management of PAndemicS through Strategic a
- Abstract
BACKGROUND: Variation in the approaches taken to contain the SARS-CoV-2 (COVID-19) pandemic at country level has been shaped by economic and political considerations, technical capacity, and assumptions about public behaviours. To address the limited application of learning from previous pandemics, this study aimed to analyse perceived facilitators and inhibitors during the pandemic and to inform the development of an assessment tool for pandemic response planning. METHODS: A cross-sectional electronic survey of health and non-health care professionals (5 May - 5 June 2020) in six languages, with respondents recruited via email, social media and website posting. Participants were asked to score inhibitors (-10 to 0) or facilitators (0 to +10) impacting country response to COVID-19 from the following domains - Political, Economic, Sociological, Technological, Ecological, Legislative, and wider Industry (the PESTELI framework). Participants were then asked to explain their responses using free text. Descriptive and thematic analysis was followed by triangulation with the literature and expert validation to develop the assessment tool, which was then compared with four existing pandemic planning frameworks. RESULTS: 928 respondents from 66 countries (57% health care professionals) participated. Political and economic influences were consistently perceived as powerful negative forces and technology as a facilitator across high- and low-income countries. The 103-item tool developed for guiding rapid situational assessment for pandemic planning is comprehensive when compared to existing tools and highlights the interconnectedness of the 7 domains. CONCLUSIONS: The tool developed and proposed addresses the problems associated with decision making in disciplinary silos and offers a means to refine future use of epidemic modelling.
- Published
- 2021
8. Community-Acquired Pneumonia
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Tattevin, Pierre, Hara, Gabriel Levy, and Gould, Ian M.
- Published
- 2015
9. A one health framework to estimate the cost of antimicrobial resistance
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Morel, Chantal M., Alm, Richard A., Årdal, Christine, Bandera, Alessandra, Bruno, Giacomo M., Carrara, Elena, Colombo, Giorgio L., de Kraker, Marlieke E.A., Essack, Sabiha, Frost, Isabel, Gonzalez-Zorn, Bruno, Goossens, Herman, Guardabassi, Luca, Harbarth, Stephan, Jørgensen, Peter S., Kanj, Souha S., Kostyanev, Tomislav, Laxminarayan, Ramanan, Leonard, Finola, Hara, Gabriel Levy, Mendelson, Marc, Mikulska, Malgorzata, Mutters, Nico T., Outterson, Kevin, Baňo, Jesus Rodriguez, Tacconelli, Evelina, Scudeller, Luigia, Morel, Chantal M., Alm, Richard A., Årdal, Christine, Bandera, Alessandra, Bruno, Giacomo M., Carrara, Elena, Colombo, Giorgio L., de Kraker, Marlieke E.A., Essack, Sabiha, Frost, Isabel, Gonzalez-Zorn, Bruno, Goossens, Herman, Guardabassi, Luca, Harbarth, Stephan, Jørgensen, Peter S., Kanj, Souha S., Kostyanev, Tomislav, Laxminarayan, Ramanan, Leonard, Finola, Hara, Gabriel Levy, Mendelson, Marc, Mikulska, Malgorzata, Mutters, Nico T., Outterson, Kevin, Baňo, Jesus Rodriguez, Tacconelli, Evelina, and Scudeller, Luigia
- Abstract
Objectives/purpose: The costs attributable to antimicrobial resistance (AMR) remain theoretical and largely unspecified. Current figures fail to capture the full health and economic burden caused by AMR across human, animal, and environmental health; historically many studies have considered only direct costs associated with human infection from a hospital perspective, primarily from high-income countries. The Global Antimicrobial Resistance Platform for ONE-Burden Estimates (GAP-ON€) network has developed a framework to help guide AMR costing exercises in any part of the world as a first step towards more comprehensive analyses for comparing AMR interventions at the local level as well as more harmonized analyses for quantifying the full economic burden attributable to AMR at the global level. Methods: GAP-ON€ (funded under the JPIAMR 8th call (Virtual Research Institute) is composed of 19 international networks and institutions active in the field of AMR. For this project, the Network operated by means of Delphi rounds, teleconferences and face-to-face meetings. The resulting costing framework takes a bottom-up approach to incorporate all relevant costs imposed by an AMR bacterial microbe in a patient, in an animal, or in the environment up through to the societal level. Results: The framework itemizes the epidemiological data as well as the direct and indirect cost components needed to build a realistic cost picture for AMR. While the framework lists a large number of relevant pathogens for which this framework could be used to explore the costs, the framework is sufficiently generic to facilitate the costing of other resistant pathogens, including those of other aetiologies. Conclusion: In order to conduct cost-effectiveness analyses to choose amongst different AMR-related interventions at local level, the costing of AMR should be done according to local epidemiological priorities and local health service norms. Yet the use of a common framework across settin
- Published
- 2020
10. A one health framework to estimate the cost of antimicrobial resistance
- Author
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Ministero della Salute, Morel, Chantal M., Alm, Richard A., Årdal, Christine, Bandera, Alessandra, Bruno, Giacomo M., Carrara, Elena, Colombo, Giorgio L., Kraker, Marlieke de, Essack, Sabiha, Frost, Isabel, González-Zorn, Bruno, Goossens, Herman, Guardabassi, Luca, Harbarth, Stephan, Jørgensen, Peter S., Kanj, Souha S., Kostyanev, Tomislav, Laxminarayan, Ramanan, Leonard, Finola, Hara, Gabriel Levy, Mendelson, Marc, Mikulska, Malgorzata, Mutters, Nico T., Outterson, Kevin, Rodríguez-Baño, Jesús, Tacconelli, Evelina, Scudeller, Luigia, Ministero della Salute, Morel, Chantal M., Alm, Richard A., Årdal, Christine, Bandera, Alessandra, Bruno, Giacomo M., Carrara, Elena, Colombo, Giorgio L., Kraker, Marlieke de, Essack, Sabiha, Frost, Isabel, González-Zorn, Bruno, Goossens, Herman, Guardabassi, Luca, Harbarth, Stephan, Jørgensen, Peter S., Kanj, Souha S., Kostyanev, Tomislav, Laxminarayan, Ramanan, Leonard, Finola, Hara, Gabriel Levy, Mendelson, Marc, Mikulska, Malgorzata, Mutters, Nico T., Outterson, Kevin, Rodríguez-Baño, Jesús, Tacconelli, Evelina, and Scudeller, Luigia
- Abstract
[Objectives/purpose] The costs attributable to antimicrobial resistance (AMR) remain theoretical and largely unspecified. Current figures fail to capture the full health and economic burden caused by AMR across human, animal, and environmental health; historically many studies have considered only direct costs associated with human infection from a hospital perspective, primarily from high-income countries. The Global Antimicrobial Resistance Platform for ONE-Burden Estimates (GAP-ON€) network has developed a framework to help guide AMR costing exercises in any part of the world as a first step towards more comprehensive analyses for comparing AMR interventions at the local level as well as more harmonized analyses for quantifying the full economic burden attributable to AMR at the global level., [Methods] GAP-ON€ (funded under the JPIAMR 8th call (Virtual Research Institute) is composed of 19 international networks and institutions active in the field of AMR. For this project, the Network operated by means of Delphi rounds, teleconferences and face-to-face meetings. The resulting costing framework takes a bottom-up approach to incorporate all relevant costs imposed by an AMR bacterial microbe in a patient, in an animal, or in the environment up through to the societal level., [Results] The framework itemizes the epidemiological data as well as the direct and indirect cost components needed to build a realistic cost picture for AMR. While the framework lists a large number of relevant pathogens for which this framework could be used to explore the costs, the framework is sufficiently generic to facilitate the costing of other resistant pathogens, including those of other aetiologies., [Conclusion] In order to conduct cost-effectiveness analyses to choose amongst different AMR-related interventions at local level, the costing of AMR should be done according to local epidemiological priorities and local health service norms. Yet the use of a common framework across settings allows for the results of such studies to contribute to cumulative estimates that can serve as the basis of broader policy decisions at the international level such as how to steer R&D funding and how to prioritize AMR amongst other issues. Indeed, it is only by building a realistic cost picture that we can make informed decisions on how best to tackle major health threats.
- Published
- 2020
11. A One Health framework to estimate the cost of antimicrobial resistance.
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Morel, Chantal, primary, Alm, Richard, additional, Ardal, Christine, additional, Bandera, Alessandra, additional, Bruno, Giacomo, additional, Carrara, Elena, additional, Colombo, Giorgio, additional, de Kraker, Marlieke, additional, Essack, Sabiha, additional, Frost, Isabel, additional, Gonzalez-Zorn, Herman Bruno, additional, Guardabassi, Luca, additional, Harbarth, Stephan, additional, Jørgensen, Peter S., additional, Kanj, Souha, additional, Kostyanev, Tomislav, additional, Laxminarayan, Ramanan, additional, Leonard, Finola, additional, Hara, Gabriel Levy, additional, Mendelson, Marc, additional, Mikulska, Malgorzata, additional, Mutter, Nico T., additional, Outterson, Kevin, additional, Baňo, Jesus Rodriguez, additional, Tacconelli, Evelina, additional, and Scudeller, Luigia, additional
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- 2020
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12. A One Health Framework to Estimate Costs of Antimicrobial Resistance
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Morel, Chantal, primary, Alm, Richard, additional, Ardal, Christine, additional, Bandera, Alessandra, additional, Bruno, Giacomo, additional, Carrara, Elena, additional, Colombo, Giorgio, additional, de Kraker, Marlieke, additional, Essack, Sabiha, additional, Frost, Isabel, additional, Gonzalez-Zorn, Herman Bruno, additional, Guardabassi, Luca, additional, Harbarth, Stephan, additional, Jørgensen, Peter S., additional, Kanj, Souha, additional, Kostyanev, Tomislav, additional, Laxminarayan, Ramanan, additional, Leonard, Finola, additional, Hara, Gabriel Levy, additional, Mendelson, Marc, additional, Mikulska, Malgorzata, additional, Mutter, Nico, additional, Outterson, Kevin, additional, Baňo, Jesus Rodriguez, additional, Scudeller, Luigia, additional, and Tacconelli, Evelina, additional
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- 2020
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13. Point prevalence survey of antibiotic use in hospitals in Latin American countries.
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Hara, Gabriel Levy, Rojas-Cortés, Robin, León, Helvert Felipe Molina, Mansilla, Anahí Dreser, Orta, Ismary Alfonso, Rizo-Amezquita, José Noe, Herrera, René Guillermo Santos, Ayala, Silvia Mendoza de, Villalobos, Marlen Arce, Ponte, Hilda Mantilla, Davila, Ever, Aguilar, Gloria, Porrás, Analía, Ramón-Pardo, Pilar, Castro, José Luis, Group, on behalf of the Latin American Point Prevalent Survey Study, Levy Hara, Gabriel, Molina León, Helvert Felipe, Dreser Mansilla, Anahí, and Alfonso Orta, Ismary
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HOSPITAL utilization , *HOSPITAL wards , *COMMUNITY-acquired infections , *CARBAPENEMS , *WEB-based user interfaces , *INTENSIVE care units , *ANTIBIOTICS , *CEFAZOLIN , *HOSPITALS , *RESEARCH , *RESEARCH methodology , *CROSS infection , *EVALUATION research , *COMPARATIVE studies , *DISEASE prevalence - Abstract
Background: Point prevalence surveys (PPSs) on antibiotic use are useful for understanding different aspects related to prescription patterns in hospitals.Methods: An adaptation of the WHO methodology for a PPS on antibiotic use was applied. Hospital wards were divided into medical (MED), surgical (SUR), ICUs, gynaecology and obstetrics (GO), high-risk (HR) and mixed wards (MIX). A web application (RedCap©) through a mobile device was used for data collection.Results: Between December 2018 and August 2019, 5444 patients in 33 hospitals in five countries were included (10 hospitals in Cuba, 7 in Paraguay, 6 in El Salvador, 5 in Mexico and 5 in Peru). Of these patients, 54.6% received at least one antibiotic, with variations between and within hospitals and countries. Antibiotics were more frequently used in ICUs (67.2%), SUR (64.5%) and MED wards (54.2%), with 51.2% of antibiotics prescribed for community-acquired infections (CAIs), 22.9% for healthcare-associated infections (HAIs), 11.1% for surgical prophylaxis and 6.1% for unknown reasons. Adherence to guidelines was observed in 68.6% of cases (72.8% for CAIs, 72.4% for HAIs and 44.3% for prophylaxis). Third-generation cephalosporins were the class of antibiotics most frequently used (26.8%), followed by carbapenems (10.3%) and fluoroquinolones (8%). Targeted treatments were achieved in 17.3% of cases.Conclusions: Antibiotic use was generally higher than that published in other studies. There is an urgent need to promote and strengthen the antimicrobial stewardship programmes in Latin America. [ABSTRACT FROM AUTHOR]- Published
- 2022
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14. Unavailability of old antibiotics threatens effective treatment for common bacterial infections
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Tängdén, Thomas, Pulcini, Céline, Aagaard, Helle, Balasegaram, Manica, Hara, Gabriel Levy, Nathwani, Dilip, Sharland, Mike, Theuretzbacher, Ursula, and Cars, Otto
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- 2018
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15. An international inventory of antimicrobial stewardship (AMS) training programmes for AMS teams.
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Weier, Naomi, Nathwani, Dilip, Thursky, Karin, Tängdén, Thomas, Vlahović-Palčevski, Vera, Dyar, Oliver, Beović, Bojana, Hara, Gabriel Levy, Patel, Rahul, Pulcini, Céline, Zaidi, Syed Tabish R, and Levy Hara, Gabriel
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ANTIMICROBIAL stewardship ,PHYSICIANS ,MEDICAL personnel ,PROFESSIONAL associations - Abstract
Background: Healthcare professionals are increasingly expected to lead antimicrobial stewardship (AMS) initiatives. This role in complex healthcare environments requires specialized training.Objectives: Little is known about the types of AMS training programmes available to clinicians seeking to play a lead role in AMS. We aimed to identify clinicians' awareness of AMS training programmes, characteristics of AMS training programmes available and potential barriers to participation.Methods: AMS training programmes available were identified by members of the ESCMID Study Group for Antimicrobial Stewardship (ESGAP) via an online survey and through an online search in 2018. Individual training programme course coordinators were then contacted (September-October 2018) for data on the target audience(s), methods of delivery, intended outcomes and potential barriers to accessing the training programme.Results: A total of 166/250 ESGAP members (66%) responded to the survey, nominating 48 unique AMS training programmes. An additional 32 training programmes were identified through an online search. AMS training programmes were from around the world. Less than half (44.4%) of respondents were aware of one or more AMS training programmes available, with pharmacists more aware compared with medical doctors and other professionals (73% versus 46% and 25%, respectively). AMS training programmes were most commonly delivered online (59%) and aimed at medical doctors (46%). Training costs and a lack of recognition by health professional societies were the most frequently cited barriers to participation in AMS training programmes.Conclusions: The development of a systematic inventory of AMS training programmes around the globe identifies opportunities and limitations to current training available. Improving access and increasing awareness amongst target participants will support improved education in AMS. [ABSTRACT FROM AUTHOR]- Published
- 2021
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16. Treatment of extensively drug-resistant Gram-negative infections in critically ill patients: Outcome of a consensus meeting at the 13th Asia-Pacific Congress of Clinical Microbiology and Infection, October 2012
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Tambyah, Paul Anantharajah, primary, Hara, Gabriel Levy, additional, Daikos, George L., additional, Falagas, Matthew E., additional, Mazzei, Teresita, additional, Mouton, Johan W., additional, Novelli, Andrea, additional, Chen, Baiyi, additional, Wang, Minggui, additional, Ko, Wen-Chien, additional, Li, Taisheng, additional, Fan, Xinjian, additional, and Theuretzbacher, Ursula, additional
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- 2013
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17. Global survey of polymyxin use: A call for international guidelines
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Wertheim, Heiman, primary, Van Nguyen, Kinh, additional, Hara, Gabriel Levy, additional, Gelband, Hellen, additional, Laxminarayan, Ramanan, additional, Mouton, Johan, additional, and Cars, Otto, additional
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- 2013
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18. Detection, treatment, and prevention of carbapenemase-producingEnterobacteriaceae: Recommendations from an International Working Group
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Hara, Gabriel Levy, primary, Gould, Ian, additional, Endimiani, Andrea, additional, Pardo, Pilar Ramón, additional, Daikos, George, additional, Hsueh, Po-Ren, additional, Mehtar, Shaheen, additional, Petrikkos, George, additional, Casellas, José María, additional, Daciuk, Lucía, additional, Paciel, Daniela, additional, Novelli, Andrea, additional, Saginur, Raphael, additional, Pryluka, Daniel, additional, Medina, Julio, additional, and Savio, Eduardo, additional
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- 2013
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19. Commentary on: Does empirical treatment of community-acquired pneumonia with fluoroquinolones delay tuberculosis treatment and result in fluoroquinolone resistance in Mycobacterium tuberculosis? Controversies and solutions
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Hara, Gabriel Levy, primary
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- 2012
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20. Detection, treatment, and prevention of carbapenemase-producing Enterobacteriaceae: Recommendations from an International Working Group.
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Hara, Gabriel Levy, Gould, Ian, Endimiani, Andrea, Pardo, Pilar Ramón, Daikos, George, Po-Ren Hsueh, Mehtar, Shaheen, Petrikkos, George, Casellas, José María, Daciuk, Lucía, Paciel, Daniela, Novelli, Andrea, Saginur, Raphael, Pryluka, Daniel, Medina, Julio, and Savio, Eduardo
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- 2013
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21. Macro level influences on strategic responses to the COVID-19 pandemic - an international survey and tool for national assessments.
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Ahmad R, Atun RA, Birgand G, Castro-Sánchez E, Charani E, Ferlie EB, Hussain I, Kambugu A, Labarca J, Hara GL, McKee M, Mendelson M, Singh S, Varma J, Zhu NJ, Zingg W, and Holmes AH
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- Cross-Sectional Studies, Humans, SARS-CoV-2, Surveys and Questionnaires, COVID-19 epidemiology, Pandemics
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Background: Variation in the approaches taken to contain the SARS-CoV-2 (COVID-19) pandemic at country level has been shaped by economic and political considerations, technical capacity, and assumptions about public behaviours. To address the limited application of learning from previous pandemics, this study aimed to analyse perceived facilitators and inhibitors during the pandemic and to inform the development of an assessment tool for pandemic response planning., Methods: A cross-sectional electronic survey of health and non-health care professionals (5 May - 5 June 2020) in six languages, with respondents recruited via email, social media and website posting. Participants were asked to score inhibitors (-10 to 0) or facilitators (0 to +10) impacting country response to COVID-19 from the following domains - Political, Economic, Sociological, Technological, Ecological, Legislative, and wider Industry (the PESTELI framework). Participants were then asked to explain their responses using free text. Descriptive and thematic analysis was followed by triangulation with the literature and expert validation to develop the assessment tool, which was then compared with four existing pandemic planning frameworks., Results: 928 respondents from 66 countries (57% health care professionals) participated. Political and economic influences were consistently perceived as powerful negative forces and technology as a facilitator across high- and low-income countries. The 103-item tool developed for guiding rapid situational assessment for pandemic planning is comprehensive when compared to existing tools and highlights the interconnectedness of the 7 domains., Conclusions: The tool developed and proposed addresses the problems associated with decision making in disciplinary silos and offers a means to refine future use of epidemic modelling., Competing Interests: Competing interests: The authors completed the ICMJE Unified Competing Interest form (available upon request from the corresponding author), and declare no other conflicts of interest., (Copyright © 2021 by the Journal of Global Health. All rights reserved.)
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- 2021
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22. A one health framework to estimate the cost of antimicrobial resistance.
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Morel CM, Alm RA, Årdal C, Bandera A, Bruno GM, Carrara E, Colombo GL, de Kraker MEA, Essack S, Frost I, Gonzalez-Zorn B, Goossens H, Guardabassi L, Harbarth S, Jørgensen PS, Kanj SS, Kostyanev T, Laxminarayan R, Leonard F, Hara GL, Mendelson M, Mikulska M, Mutters NT, Outterson K, Baňo JR, Tacconelli E, and Scudeller L
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- Animals, Cost of Illness, Cost-Benefit Analysis, Health Care Costs, Humans, Infections economics, Drug Resistance, Microbial, One Health
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Objectives/purpose: The costs attributable to antimicrobial resistance (AMR) remain theoretical and largely unspecified. Current figures fail to capture the full health and economic burden caused by AMR across human, animal, and environmental health; historically many studies have considered only direct costs associated with human infection from a hospital perspective, primarily from high-income countries. The Global Antimicrobial Resistance Platform for ONE-Burden Estimates (GAP-ON€) network has developed a framework to help guide AMR costing exercises in any part of the world as a first step towards more comprehensive analyses for comparing AMR interventions at the local level as well as more harmonized analyses for quantifying the full economic burden attributable to AMR at the global level., Methods: GAP-ON€ (funded under the JPIAMR 8th call (Virtual Research Institute) is composed of 19 international networks and institutions active in the field of AMR. For this project, the Network operated by means of Delphi rounds, teleconferences and face-to-face meetings. The resulting costing framework takes a bottom-up approach to incorporate all relevant costs imposed by an AMR bacterial microbe in a patient, in an animal, or in the environment up through to the societal level., Results: The framework itemizes the epidemiological data as well as the direct and indirect cost components needed to build a realistic cost picture for AMR. While the framework lists a large number of relevant pathogens for which this framework could be used to explore the costs, the framework is sufficiently generic to facilitate the costing of other resistant pathogens, including those of other aetiologies., Conclusion: In order to conduct cost-effectiveness analyses to choose amongst different AMR-related interventions at local level, the costing of AMR should be done according to local epidemiological priorities and local health service norms. Yet the use of a common framework across settings allows for the results of such studies to contribute to cumulative estimates that can serve as the basis of broader policy decisions at the international level such as how to steer R&D funding and how to prioritize AMR amongst other issues. Indeed, it is only by building a realistic cost picture that we can make informed decisions on how best to tackle major health threats.
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- 2020
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