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1. Surgical site infections after kidney transplantation are independently associated with graft loss

Author

Amico, Patrizia, Aubert, John-David, Banz, Vanessa, Beckmann, Sonja, Beldi, Guido, Berger, Christoph, Berishvili, Ekaterine, Berzigotti, Annalisa, Binet, Isabelle, Bochud, Pierre-Yves, Branca, Sanda, Bucher, Heiner, Catana, Emmanuelle, Cairoli, Anne, Chalandon, Yves, De Geest, Sabina, De Rougemont, Olivier, De Seigneux, Sophie, Dickenmann, Michael, Dreifuss, Joëlle Lynn, Duchosal, Michel, Fehr, Thomas, Ferrari-Lacraz, Sylvie, Garzoni, Christian, Golshayan, Déla, Goossens, Nicolas, Haidar, Fadi, Halter, Jörg, Heim, Dominik, Hess, Christoph, Hillinger, Sven, Hirsch, Hans H., Hirt, Patricia, Hoessly, Linard, Hofbauer, Günther, Huynh-Do, Uyen, Immer, Franz, Koller, Michael, Laesser, Bettina, Lamoth, Frédéric, Lehmann, Roger, Leichtle, Alexander, Manuel, Oriol, Marti, Hans-Peter, Martinelli, Michele, McLin, Valérie, Mellac, Katell, Merçay, Aurélia, Mettler, Karin, Mueller, Nicolas J., Müller-Arndt, Ulrike, Müllhaupt, Beat, Nägeli, Mirjam, Oldani, Graziano, Pascual, Manuel, Passweg, Jakob, Pazeller, Rosemarie, Posfay-Barbe, Klara, Rick, Juliane, Rosselet, Anne, Rossi, Simona, Rothlin, Silvia, Ruschitzka, Frank, Schachtner, Thomas, Schaub, Stefan, Scherrer, Alexandra, Schnyder, Aurelia, Schuurmans, Macé, Schwab, Simon, Sengstag, Thierry, Simonetta, Federico, Stampf, Susanne, Steiger, Jürg, Stirnimann, Guido, Stürzinger, Ueli, Van Delden, Christian, Venetz, Jean-Pierre, Villard, Jean, Vionnet, Julien, Wick, Madeleine, Wilhelm, Markus, Yerly, Patrick, Schreiber, Peter W., Hoessly, Linard D., Boggian, Katia, Neofytos, Dionysios, van Delden, Christian, Egli, Adrian, Hirzel, Cédric, Schmied, Bruno, Guerke, Lorenz, Matter, Maurice, de Rougemont, Olivier, Bonani, Marco, Sidler, Daniel, and Kuster, Stefan P.

Published
2024
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2. BK polyomavirus serotype-specific antibody responses in blood donors and kidney transplant recipients with and without new-onset BK polyomavirus-DNAemia: A Swiss Transplant Cohort Study

Author

Amico, Patrizia, Bachofner, Adrian, Banz, Vanessa, Beckmann, Sonja, Beldi, Guido, Berger, Christoph, Berishvili, Ekaterine, Berzigotti, Annalisa, Binet, Françoise-Isabelle, Bochud, Pierre-Yves, Borner, Petra, Branca, Sanda, Cairoli, Anne, Catana, Emmanuelle, Chalandon, Yves, Compagnon, Philippe, De Geest, Sabina, De Seigneux, Sophie, Dickenmann, Michael, Dreifuss, Joëlle Lynn, Duchosal, Michel, Fehr, Thomas, Ferrari-Lacraz, Sylvie, Flammer, Andreas, Frossard, Jaromil, Golshayan, Dela, Goossens, Nicolas, Haidar, Fadi, Halter, Jürg, Hess, Christoph, Hillinger, Sven, Hirsch, Hans H., Hirt, Patricia, Hoessly, Linard, Hofbauer, Günther, Huynh-Do, Uyen, Immer, Franz, Khanna, Nina, Koller, Michael, Kremer, Andreas, Krueger, Thorsten, Kuhn, Christian, Laesser, Bettina, Lamoth, Frédéric, Lehmann, Roger, Leichtle, Alexander, L'Huillier, Arnaud, Manuel, Oriol, Marti, Hans-Peter, Martinelli, Michele, McLin, Valérie, Mellac, Katell, Merçay, Aurélia, Mettler, Karin, Müller, Nicolas, Müller, Jelena, Müller-Arndt, Ulrike, Nägeli, Mirjam, Neofytos, Dionysios, Nilsson, Jakob, Pascual, Manuel, Pazeller, Rosmarie, Reineke, David, Rick, Juliane, Rössler, Fabian, Rothlin, Silvia, Schachtner, Thomas, Schaub, Stefan, Schneidawind, Dominik, Schuurmans, Macé, Schwab, Simon, Sengstag, Thierry, Sidler, Daniel, Simonetta, Federico, Steiger, Jürg, Stirnimann, Guido, Stürzinger, Ueli, Van Delden, Christian, Venetz, Jean-Pierre, Villard, Jean, Vionnet, Julien, Wehmeier, Caroline, Wilhelm, Markus, Yerly, Patrick, Hillenbrand, Caroline A., Bani, Dorssa Akbari, Follonier, Océane, Kaur, Amandeep, Weissbach, Fabian H., Wernli, Marion, Wilhelm, Maud, Leuzinger, Karoline, Binet, Isabelle, Hirzel, Cédric, and Mueller, Nicolas J.

Published
2024
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3. Reintegration Into the Workforce After Kidney Transplantation Based on Urbanization Status in Switzerland

Author

Amico, Patrizia, Bachofner, Adrian, Banz, Vanessa, Beckmann, Sonja, Beldi, Guido, Berger, Christoph, Berishvili, Ekaterine, Berzigotti, Annalisa, Bochud, Pierre-Yves, Branca, Sanda, Bucher, Heiner, Cairoli, Anne, Catana, Emmanuelle, Chalandon, Yves, De Geest, Sabina, De Seigneux, Sophie, Dickenmann, Michael, Dreifuss, Joëlle Lynn, Duchosal, Michel, Fehr, Thomas, Ferrari-Lacraz, Sylvie, Frossard, Jaromil, Garzoni, Christian, Golshayan, Déla, Goossens, Nicolas, Haidar, Fadi, Halter, Jörg, Heim, Dominik, Hess, Christoph, Hillinger, Sven, Hirsch, Hans, Hirt, Patricia, Hoessly, Linard, Hofbauer, Günther, Huynh-Do, Uyen, Immer, Franz, Koller, Michael, Kremer, Andreas, Krueger, Thorsten, Kuhn, Christian, Laesser, Bettina, Lamoth, Frédéric, Lehmann, Roger, Leichtle, Alexander, Manuel, Oriol, Marti, Hans-Peter, Martinelli, Michele, McLin, Valérie, Mellac, Katell, Merçay, Aurélia, Mettler, Karin, Müller, Nicolas, Müller-Arndt, Ulrike, Müllhaupt, Beat, Nägeli, Mirjam, Oldani, Graziano, Pascual, Manuel, Passweg, Jakob, Pazeller, Rosemarie, Posfay-Barbe, Klara, Reineke, David, Rick, Juliane, Rosselet, Anne, Rossi, Simona, Rössler, Rothlin, Silvia, Ruschitzka, Frank, Schachtner, Thomas, Schaub, Stefan, Scherrer, Alexandra, Schneidawind, Dominik, Schnyder, Aurelia, Schuurmans, Macé, Schwab, Simon, Sengstag, Thierry, Simonetta, Federico, Steiger, Jürg, Stirniman, Guido, Stürzinger, Ueli, Van Delden, Christian, Venetz, Jean-Pierre, Villard, Jean, Vionnet, Julien, Wick, Madeleine, Wilhlem, Markus, Yerly, Patrick, Bocchi, Federica, Müller, Selina, Binet, Isabelle, Golshayan, Dela, Müller, Thomas, Sidler, Daniel, and Storni, Federico

Published
2024
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4. Outcome of Patients Transplanted for C3 Glomerulopathy and Primary Immune Complex-Mediated Membranoproliferative Glomerulonephritis

Author

Amico, Patrizia, Aubert, John-David, Banz, Vanessa, Beckmann, Sonia, Beldi, Guido, Berger, Christoph, Berishvili, Ekaterine, Binet, Isabelle, Bochud, Pierre-Yves, Branca, Sanda, Bucher, Heiner, Catana, Emmanuelle, Chalandon, Yves, De Geest, Sabina, De Seigneux Michael Dickenmann, Sophie, Dreifuss, Joëlle Lynn, Duchosal, Michel, Fehr, Thomas, Ferrari-Lacraz, Sylvie, Garzoni, Christian, Gaudet, Christophe, Golshayan, Déla, Goossens, Nicolas, Halter, Jörg, Heim, Dominik, Hess, Christoph, Hillinger, Sven, Hirsch, Hans H., Hirt, Patricia, Hofbauer, Günther, Huynh-Do, Uyen, Immer, Franz, Koller, Michael, Laager, Mirjam, Laesser, Bettina, Lamoth, Frédéric, Lehmann, Roger, Leichtle, Alexander, Manuel, Oriol, Marti, Hans-Peter, Martinelli, Michele, McLin, Valérie, Mellac, Katell, Mercay, Aurelia, Mettler, Karin, Mueller, Nicolas J., Müller, Antonia, Müller-Arndt, Ulrike, Müllhaupt, Beat, Nägeli, Mirjam, Oldani, Graziano, Pascual, Manuel, Passweg, Jakob, Posfay-Barbe, Klara, Rick, Juliane, Rosselet, Anne, Rossi, Simona, Rothlin, Silvia, Ruschitzka, Frank, Schachtner, Thomas, Schanz, Urs, Schaub, Stefan, Schwab, Simon, Schnyder, Aurelia, Schuurmans, Macé, Sengstag, Thierry, Simonetta, Federico, Steiger, Jürg, Stirniman, Guido, Stürzinger, Ueli, Van Delden, Christian, Venetz, Jean-Pierre, Villard, Jean, Vionnet, Julien, Wick, Madeleine, Wilhlem, Markus, Yerly, Patrick, Halfon, Matthieu, Taffé, Patrick, Bucher, Christian, Haidar, Fadi, Huynh-do, Uyen, Mani, Laila-Yasmin, Wehmeier, Caroline, Fakhouri, Fadi, and Golshayan, Dela

Published
2024
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6. The MELD upgrade exception: a successful strategy to optimize access to liver transplantation for patients with high waiting list mortality

Author

Amico, Patrizia, Axel, Andres, Aubert, John-David, Banz, Vanessa, Sonja, Beckmann, Beldi, Guido, Benden, Christian, Berger, Christoph, Binet, Isabelle, Bochud, Pierre-Yves, Branca, Sanda, Bucher, Heiner, Carrel, Thierry, Catana, Emmanuelle, Chalandon, Yves, de Geest, Sabina, de Rougemont, Olivier, Dickenmann, Michael, Dreifuss, Joëlle L., Duchosal, Michel, Fehr, Thomas, Ferrari-Lacraz, Sylvie, Garzoni, Christian, Soccal, Paola G., Gaudet, Christophe, Giostra, Emiliano, Golshayan, Déla, Hadaya, Karine, Halter, Jörg, Hauri, Dimitri, Heim, Dominik, Hess, Christoph, Hillinger, Sven, Hirsch, Hans, Hirt, Patricia, Hofbauer, Günther, Huynh-Do, Uyen, Immer, Franz, Koller, Michael, Laesser, Bettina, Lang, Brian, Lehmann, Roger, Leichtle, Alexander, Lovis, Christian, Manuel, Oriol, Marti, Hans-Peter, Martin, Pierre Y., Martinelli, Michele, Mellac, Katell, Merçay, Aurélia, Mettler, Karin, Meylan, Pascal, Mueller, Nicolas, Müller, Antonia, Müller, Thomas, Müller-Arndt, Ulrike, Müllhaupt, Beat, Nägeli, Mirjam, Pascual, Manuel, Posfay-Barbe, Klara, Rick, Juliane, Rosselet, Anne, Rossi, Simona, Rothlin, Silvia, Ruschitzka, Frank, Schanz, Urs, Schaub, Stefan, Schnyder, Aurelia, Schuurmans, Macé, Simonetta, Federico, Staufer, Katharina, Stampf, Susanne, Steiger, Jürg, Stirniman, Guido, Stürzinger, Ueli, Toso, Christian, Van Delden, Christian, Venetz, Jean-Pierre, Villard, Jean, Vionnet, Julien, Wick, Madeleine, Wilhlem, Markus, Yerly, Patrick, Dirchwolf, Melisa, Becchetti, Chiara, Gschwend, Sarah G., Dutkowski, Philipp, Beyeler, Franziska, Schropp, Jonas, and Dufour, Jean-François

Published
2022
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7. Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol

Author

Schwab, Simon; https://orcid.org/0000-0002-1588-2689, Sidler, Daniel, Haidar, Fadi, Kuhn, Christian, Schaub, Stefan, Koller, Michael, Mellac, Katell, Stürzinger, Ueli, Tischhauser, Bruno, Binet, Isabelle, Golshayan, Déla, Müller, Thomas, Elmer, Andreas, Franscini, Nicola, Krügel, Nathalie, Fehr, Thomas, Immer, Franz, Swisstransplant Kidney Working Group (STAN), Swiss Transplant Cohort Study, Schwab, Simon; https://orcid.org/0000-0002-1588-2689, Sidler, Daniel, Haidar, Fadi, Kuhn, Christian, Schaub, Stefan, Koller, Michael, Mellac, Katell, Stürzinger, Ueli, Tischhauser, Bruno, Binet, Isabelle, Golshayan, Déla, Müller, Thomas, Elmer, Andreas, Franscini, Nicola, Krügel, Nathalie, Fehr, Thomas, Immer, Franz, Swisstransplant Kidney Working Group (STAN), and Swiss Transplant Cohort Study

Abstract

Background: Many potential prognostic factors for predicting kidney transplantation outcomes have been identified. However, in Switzerland, no widely accepted prognostic model or risk score for transplantation outcomes is being routinely used in clinical practice yet. We aim to develop three prediction models for the prognosis of graft survival, quality of life, and graft function following transplantation in Switzerland. Methods: The clinical kidney prediction models (KIDMO) are developed with data from a national multi-center cohort study (Swiss Transplant Cohort Study; STCS) and the Swiss Organ Allocation System (SOAS). The primary outcome is the kidney graft survival (with death of recipient as competing risk); the secondary outcomes are the quality of life (patient-reported health status) at 12 months and estimated glomerular filtration rate (eGFR) slope. Organ donor, transplantation, and recipient-related clinical information will be used as predictors at the time of organ allocation. We will use a Fine & Gray subdistribution model and linear mixed-effects models for the primary and the two secondary outcomes, respectively. Model optimism, calibration, discrimination, and heterogeneity between transplant centres will be assessed using bootstrapping, internal-external cross-validation, and methods from meta-analysis. Discussion: Thorough evaluation of the existing risk scores for the kidney graft survival or patient-reported outcomes has been lacking in the Swiss transplant setting. In order to be useful in clinical practice, a prognostic score needs to be valid, reliable, clinically relevant, and preferably integrated into the decision-making process to improve long-term patient outcomes and support informed decisions for clinicians and their patients. The state-of-the-art methodology by taking into account competing risks and variable selection using expert knowledge is applied to data from a nationwide prospective multi-center cohort study. Ideally, healthca

Published
2023

8. Clinical prediction model for prognosis in kidney transplant recipients (KIDMO)

Author

Schwab, Simon, Sidler, Daniel, Haidar, Fadi, Kuhn, Christian, Schaub, Stefan, Koller, Michael, Mellac, Katell, Stürzinger, Ueli, Tischhauser, Bruno, Binet, Isabelle, Golshayan, Déla, Müller, Thomas, Elmer, Andreas, Franscini, Nicola, Krügel, Nathalie, Fehr, Thomas, and Immer, Franz

Subjects
glomerular filtration rate, quality of life, Prediction model, Medicine and Health Sciences, graft survival, kidney transplantation, prognostic model, risk calculator, prognosis, risk score
Abstract

Background: Many potential prognostic factors for predicting kidney transplantation outcomes have been identified. However, in Switzerland no widely accepted prognostic model or risk score for transplantation outcomes is being routinely used in clinical practice yet. We aim to develop three prediction models for the prognosis of graft survival, quality of life and graft function following transplantation in Switzerland. Methods: The clinical prediction models are developed with data from a national multi-centre cohort study (Swiss Transplant Cohort Study; STCS) and the Swiss Organ Allocation System (SOAS). The primary outcome is kidney graft survival (censored for death of recipient); the secondary outcomes are quality of life (patient-reported health status) at 12-months and estimated glomerular filtration rate (eGFR) slope. Organ donor, transplantation, and recipient-related clinical information will be used as predictors at the time of organ allocation. We will use a Cox model and linear mixed-effects models for the primary and the two secondary out-comes, respectively. Model optimism, calibration, discrimination and heterogeneity between transplant centres will be assessed using bootstrapping, internal-external cross-validation and methods from meta-analysis. Discussion: Thorough evaluation of existing risk scores for kidney graft survival or patient-reported outcomes has been lacking in the Swiss transplant setting. In order to be useful in clinical practice, a prognostic score need to be valid, reliable, clinically relevant and, preferably integrated into the decision-making process to improve long-term patient outcomes and support informed decisions for clinicians and their patients. State-of-the-art methodology and best practice in prediction modelling are applied to data from a nationwide prospective multi-centre cohort study. Ideally, healthcare providers together with patients can predetermine the risk they are willing to accept from a deceased-donor kidney, with graft survival, quality-of-life and graft function estimates available for their consideration. Keywords: Prediction model, prognostic model, prognosis, risk calculator, risk score, kidney transplantation, graft survival, quality of life, glomerular filtration rate

Published
2022
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9. The MELD upgrade exception: a successful strategy to optimize access to liver transplantation for patients with high waiting list mortality

Author

Dirchwolf, Melisa, primary, Becchetti, Chiara, additional, Gschwend, Sarah G., additional, Toso, Christian, additional, Dutkowski, Philipp, additional, Immer, Franz, additional, Beyeler, Franziska, additional, Rossi, Simona, additional, Schropp, Jonas, additional, Dufour, Jean-François, additional, Banz, Vanessa, additional, Amico, Patrizia, additional, Axel, Andres, additional, Aubert, John-David, additional, Sonja, Beckmann, additional, Beldi, Guido, additional, Benden, Christian, additional, Berger, Christoph, additional, Binet, Isabelle, additional, Bochud, Pierre-Yves, additional, Branca, Sanda, additional, Bucher, Heiner, additional, Carrel, Thierry, additional, Catana, Emmanuelle, additional, Chalandon, Yves, additional, de Geest, Sabina, additional, de Rougemont, Olivier, additional, Dickenmann, Michael, additional, Dreifuss, Joëlle L., additional, Duchosal, Michel, additional, Fehr, Thomas, additional, Ferrari-Lacraz, Sylvie, additional, Garzoni, Christian, additional, Soccal, Paola G., additional, Gaudet, Christophe, additional, Giostra, Emiliano, additional, Golshayan, Déla, additional, Hadaya, Karine, additional, Halter, Jörg, additional, Hauri, Dimitri, additional, Heim, Dominik, additional, Hess, Christoph, additional, Hillinger, Sven, additional, Hirsch, Hans, additional, Hirt, Patricia, additional, Hofbauer, Günther, additional, Huynh-Do, Uyen, additional, Koller, Michael, additional, Laesser, Bettina, additional, Lang, Brian, additional, Lehmann, Roger, additional, Leichtle, Alexander, additional, Lovis, Christian, additional, Manuel, Oriol, additional, Marti, Hans-Peter, additional, Martin, Pierre Y., additional, Martinelli, Michele, additional, Mellac, Katell, additional, Merçay, Aurélia, additional, Mettler, Karin, additional, Meylan, Pascal, additional, Mueller, Nicolas, additional, Müller, Antonia, additional, Müller, Thomas, additional, Müller-Arndt, Ulrike, additional, Müllhaupt, Beat, additional, Nägeli, Mirjam, additional, Pascual, Manuel, additional, Posfay-Barbe, Klara, additional, Rick, Juliane, additional, Rosselet, Anne, additional, Rothlin, Silvia, additional, Ruschitzka, Frank, additional, Schanz, Urs, additional, Schaub, Stefan, additional, Schnyder, Aurelia, additional, Schuurmans, Macé, additional, Simonetta, Federico, additional, Staufer, Katharina, additional, Stampf, Susanne, additional, Steiger, Jürg, additional, Stirniman, Guido, additional, Stürzinger, Ueli, additional, Van Delden, Christian, additional, Venetz, Jean-Pierre, additional, Villard, Jean, additional, Vionnet, Julien, additional, Wick, Madeleine, additional, Wilhlem, Markus, additional, and Yerly, Patrick, additional

Published
2022
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10. Use of induction therapy in pediatric heart transplant recipients in Switzerland – Analysis of the Swiss national database

Author

Schweiger, M., primary, Erdil, T., additional, Di Bernardo, S., additional, Balmer, C., additional, Yildiz, M., additional, Kadner, A., additional, Amico, Patrizia, additional, Axel, Andres, additional, Aubert, John-David, additional, Banz, Vanessa, additional, Sonja, Beckmann, additional, Beldi, Guido, additional, Berger, Christoph, additional, Berishvili, Ekaterine, additional, Binet, Isabelle, additional, Bochud, Pierre-Yves, additional, Branca, Sanda, additional, Bucher, Heiner, additional, Carrel, Thierry, additional, Catana, Emmanuelle, additional, Chalandon, Yves, additional, De Geest, Sabina, additional, De Rougemont, Olivier, additional, Dickenmann, Michael, additional, Dreifuss, Joëlle Lynn, additional, Duchosal, Michel, additional, Fehr, Thomas, additional, Ferrari-Lacraz, Sylvie, additional, Garzoni, Christian, additional, Soccal, Paola Gasche, additional, Gaudet, Christophe, additional, Golshayan, Déla, additional, Goossens, Nicolas, additional, Hadaya, Karine, additional, Halter, Jörg, additional, Heim, Dominik, additional, Hess, Christoph, additional, Hillinger, Sven, additional, Hirsch, Hans, additional, Hirt, Patricia, additional, Hofbauer, Günther, additional, Huynh-Do, Uyen, additional, Immer, Franz, additional, Koller, Michael, additional, Laager, Mirjam, additional, Laesser, Bettina, additional, Lehmann, Roger, additional, Leichtle, Alexander, additional, Lovis, Christian, additional, Manuel, Oriol, additional, Marti, Hans-Peter, additional, Martin, Pierre Yves, additional, Martinelli, Michele, additional, McLin, Valérie, additional, Mellac, Katell, additional, Merçay, Aurélia, additional, Mettler, Karin, additional, Mueller, Nicolas, additional, Müller, Antonia, additional, Müller, Thomas, additional, Müller-Arndt, Ulrike, additional, Müllhaupt, Beat, additional, Nägeli, Mirjam, additional, Oldani, Graziano, additional, Pascual, Manuel, additional, Posfay-Barbe, Klara, additional, Rick, Juliane, additional, Rosselet, Anne, additional, Rossi, Simona, additional, Rothlin, Silvia, additional, Ruschitzka, Frank, additional, Schanz, Urs, additional, Schaub, Stefan, additional, Schnyder, Aurelia, additional, Schuurmans, Macé, additional, Sengstag, Thierry, additional, Simonetta, Federico, additional, Staufer, Katharina, additional, Stampf, Susanne, additional, Steiger, Jürg, additional, Stirniman, Guido, additional, Stürzinger, Ueli, additional, Van Delden, Christian, additional, Venetz, Jean-Pierre, additional, Villard, Jean, additional, Vionnet, Julien, additional, Wick, Madeleine, additional, Wilhlem, Markus, additional, and Yerly, Patrick, additional

Published
2021
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11. Epidemiology and outcomes of bone and joint infections in solid organ transplant recipients

Author

Pham, Truong‐Thanh, Andrey, Diego O., Stampf, Susanne, Burkhard, Sara H., Hirzel, Cédric, Tschopp, Johnathan, Ullrich, Kathrin, Strahm, Carol, Schreiber, Peter W., Boillat‐Blanco, Noémie, Garzoni, Christian, Khanna, Nina, Manuel, Oriol, Mueller, Nicolas J., Suva, Domizio, Delden, Christian, Uçkay, Ilker, Neofytos, Dionysios, Amico, Patrizia, Axel, Andres, Aubert, John‐David, Banz, Vanessa, Beckmann, Sonja, Beldi, Guido, Berger, Christoph, Berishvili, Ekaterine, Berzigotti, Annalisa, Binet, Isabelle, Bochud, Pierre‐Yves, Branca, Sanda, Bucher, Heiner, Catana, Emmanuelle, Cairoli, Anne, Chalandon, Yves, De Geest, Sabina, De Rougemont, Olivier, De Seigneux, Sophie, Dickenmann, Michael, Dreifuss, Joëlle Lynn, Duchosal, Michel, Fehr, Thomas, Ferrari‐Lacraz, Sylvie, Golshayan, Déla, Goossens, Nicolas, Halter, Jörg, Heim, Dominik, Hess, Christoph, Hillinger, Sven, Hirsch, Hans H., Hirt, Patricia, Hofbauer, Günther, Huynh‐Do, Uyen, Immer, Franz, Koller, Michael, Laager, Mirjam, Laesser, Bettina, Lamoth, Frédéric, Lehmann, Roger, Leichtle, Alexander, Marti, Hans‐Peter, Martinelli, Michele, McLin, Valérie, Mellac, Katell, Merçay, Aurélia, Mettler, Karin, Müller, Antonia, Müller‐Arndt, Ulrike, Müllhaupt, Beat, Nägeli, Mirjam, Oldani, Graziano, Pascual, Manuel, Passweg, Jakob, Pazeller, Rosemarie, Posfay‐Barbe, Klara, Rick, Juliane, Rosselet, Anne, Rossi, Simona, Rothlin, Silvia, Ruschitzka, Frank, Schachtner, Thomas, Schanz, Urs, Schaub, Stefan, Scherrer, Alexandra, Schnyder, Aurelia, Schuurmans, Macé, Schwab, Simon, Sengstag, Thierry, Simonetta, Federico, Steiger, Jürg, Stirnimann, Guido, Stürzinger, Ueli, Venetz, Jean‐Pierre, Villard, Jean, Vionnet, Julien, Wick, Madeleine, Wilhelm, Markus, and Yerly, Patrick

Abstract

Bone and joint infection (BJI) epidemiology and outcomes in solid organ transplant recipients (SOTr) remain largely unknown. We aim to describe BJI in a multi‐center cohort of SOTr (Swiss Transplant Cohort Study). All consecutive SOTr with BJI (01.05.2008–31.12.2019) were included. A nested case–control study to identify risk factors for BJI was performed. Among 4482 patients, 61 SOTr with 82 BJI were included, at an incidence of 1.4% (95% CI 1.1–1.7), higher in heart and kidney‐pancreas SOTr (Gray's test p< .01). Although BJI were predominately late events (median of 18.5 months post‐SOT), most infections occurred during the first year post‐transplant in thoracic SOTr. Diabetic foot osteomyelitis was the most frequent infection (38/82, 46.3%), followed by non‐vertebral osteomyelitis (26/82, 31.7%). Pathogens included Gram‐positive cocci (70/131, 53.4%), Gram‐negative bacilli (34/131, 26.0%), and fungi (9/131, 6.9%). BJI predictors included male gender (OR 2.94, 95% CI 1.26–6.89) and diabetes (OR 2.97, 95% CI 1.34–6.56). Treatment failure was observed in 25.9% (21/81) patients and 1‐year mortality post‐BJI diagnosis was 14.8% (9/61). BJI remain a rare event in SOTr, associated with subtle clinical presentations, high morbidity and relapses, requiring additional studies in the future. In solid organ transplant recipients, bone and joint infections, rare complications with subtle clinical presentation, high morbidity and frequent relapse, require special attention from treating physicians.

Published
2022
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13. ARPEGES: A Bayesian Belief Network to Assess the Risk of Pesticide Contamination for the River Network of France.

Author

Piffady, Jeremy, Carluer, Nadia, Gouy, Veronique, Henaff, Guy, Tormos, Thierry, Bougon, Nolwenn, Adoir, Emilie, and Mellac, Katell

Subjects
SOIL science, WATER pollution, SURFACE contamination, PESTICIDES, WATER quality, PESTICIDE toxicology, WATER
Abstract

Pesticides are priority concerns in aquatic risk assessment due to their widespread use, ongoing development of new molecules, and potential effects from short‐ and long‐term exposures to aquatic life. Water quality assessments are also challenged by contrasting pesticide behaviors (e.g., mobility, half‐life time, solubility) in different environmental contexts. Furthermore, monitoring networks are not well adapted to the pesticide media transfer dynamics and therefore fail at providing a reliable assessment of pesticides. We present here a Bayesian belief network that was developed in a cooperative process between researchers specializing in Bayesian modeling, soil sciences, agronomy, and diffuse pollutants to provide a tool for stakeholders to assess surface water contamination by pesticides. It integrates knowledge on dominant transfer pathways according to basin physical context and climate for different pesticides properties, such as half‐life duration and affinity to organic C, to develop an assessment of risks of contamination for every watershed in France. The resulting model, ARPEGES (Analyse de Risque PEsticide pour la Gestion des Eaux de Surface; trans. Risk analysis of contamination by pesticides for surface water management), was developed in R. A user‐friendly R interface was built to enable stakeholders to not only obtain ARPEGES' results, but also freely use it to test management scenarios. Though it is applicable to any chemical, its results are illustrated for S‐Metolachlor, a pesticide that was widely used on cereals crops worldwide. In addition to providing contamination potential, ARPEGES also provides a way to diagnose its main explaining factors, enabling stakeholders to focus efforts in the most potentially affected basins, but also on the most probable cause of contamination. In this context, the Bayesian belief network allowed us to use information at different scales (i.e., regional contexts for climate, pedology at the basin scale, pesticide use at the municipality scale) to provide an expert assessment of the processes driving pesticide contamination of streams and the associated uncertainties. Integr Environ Assess Manag 2021;17:188–201. © 2020 SETAC KEY POINTS: We present a Bayesian belief network, developed in a cooperative process between researchers specializing in Bayesian modelling, soil sciences, agronomy, and diffuse pollutants, to provide a tool for stakeholders to assess surface water contamination by pesticides for every watershed in France.It integrates knowledge on dominant transfer pathways according to basin physical context and climate for different pesticides properties, such as half‐life duration and affinity to organic C, to develop an assessment of potential of contamination at the watershed scale.By considering the catchment vulnerability to transfers, ARPEGES is the first process‐based model for pesticides, applicable at a national scale and filling the gap between numerical plot scale water transfers models and large scale indicators needed by stakeholders for management sakes.Taking advantage of the Bayesian principles, ARPEGES also provides an explicit measurement of the confidence associated to its predictions. [ABSTRACT FROM AUTHOR]

Published
2021
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15. Surgical site infections after kidney transplantation are independently associated with graft loss

Author

Schreiber, Peter W., Hoessly, Linard D., Boggian, Katia, Neofytos, Dionysios, van Delden, Christian, Egli, Adrian, Dickenmann, Michael, Hirzel, Cédric, Manuel, Oriol, Koller, Michael, Rossi, Simona, Banz, Vanessa, Schmied, Bruno, Guerke, Lorenz, Matter, Maurice, de Rougemont, Olivier, Bonani, Marco, Golshayan, Déla, Schnyder, Aurelia, Sidler, Daniel, Haidar, Fadi, Kuster, Stefan P., Stampf, Susanne, Mueller, Nicolas J., Amico, Patrizia, Aubert, John-David, Banz, Vanessa, Beckmann, Sonja, Beldi, Guido, Berger, Christoph, Berishvili, Ekaterine, Berzigotti, Annalisa, Binet, Isabelle, Bochud, Pierre-Yves, Branca, Sanda, Bucher, Heiner, Catana, Emmanuelle, Cairoli, Anne, Chalandon, Yves, De Geest, Sabina, De Rougemont, Olivier, De Seigneux, Sophie, Dickenmann, Michael, Dreifuss, Joëlle Lynn, Duchosal, Michel, Fehr, Thomas, Ferrari-Lacraz, Sylvie, Garzoni, Christian, Golshayan, Déla, Goossens, Nicolas, Haidar, Fadi, Halter, Jörg, Heim, Dominik, Hess, Christoph, Hillinger, Sven, Hirsch, Hans H., Hirt, Patricia, Hoessly, Linard, Hofbauer, Günther, Huynh-Do, Uyen, Immer, Franz, Koller, Michael, Laesser, Bettina, Lamoth, Frédéric, Lehmann, Roger, Leichtle, Alexander, Manuel, Oriol, Marti, Hans-Peter, Martinelli, Michele, McLin, Valérie, Mellac, Katell, Merçay, Aurélia, Mettler, Karin, Mueller, Nicolas J., Müller-Arndt, Ulrike, Müllhaupt, Beat, Nägeli, Mirjam, Oldani, Graziano, Pascual, Manuel, Passweg, Jakob, Pazeller, Rosemarie, Posfay-Barbe, Klara, Rick, Juliane, Rosselet, Anne, Rossi, Simona, Rothlin, Silvia, Ruschitzka, Frank, Schachtner, Thomas, Schaub, Stefan, Scherrer, Alexandra, Schnyder, Aurelia, Schuurmans, Macé, Schwab, Simon, Sengstag, Thierry, Simonetta, Federico, Stampf, Susanne, Steiger, Jürg, Stirnimann, Guido, Stürzinger, Ueli, Van Delden, Christian, Venetz, Jean-Pierre, Villard, Jean, Vionnet, Julien, Wick, Madeleine, Wilhelm, Markus, and Yerly, Patrick

Abstract

Surgical site infections (SSI) are common healthcare-associated infections. SSIs after kidney transplantation (K-Tx) can endanger patient and allograft survival. Multicenter studies on this early post-transplant complication are scarce. We analyzed consecutive adult K-Tx recipients enrolled in the Swiss Transplant Cohort Study (STCS) that received a K-tx between May 2008 and September 2020. All data were prospectively collected with the exception of the categorization of SSI that was performed retrospectively according to the Centers for Disease Control and Prevention criteria. A total of 58 out of 3059 (1.9%) K-Tx recipients were affected by SSIs. Deep incisional (15, 25.9%) and organ/space infections (34, 58.6%) predominated. In the majority of SSIs (52, 89.6%) bacteria were detected, most frequently Escherichia coli(15, 28.9%), Enterococcusspp. (14, 26.9%), and coagulase-negative staphylococci (13, 25.0%). A BMI ≥25kg/m2(multivariable OR 2.16, 95% CI 1.07-4.34, P=0.023) and delayed graft function (multivariable OR 2.88, 95% CI 1.56-5.34, P=0.001) were independent risk factors for SSI. In Cox proportional hazard models, SSI was independently associated with graft loss (multivariable HR 3.75, 95% CI 1.35-10.38, P=0.011). In conclusion, SSI was a rare complication after K-Tx. BMI ≥25kg/m2and delayed graft function were independent risk factors. SSI were independently associated with graft loss.

Published
2023
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