18 results on '"Steiger, J"'
Search Results
2. Surgical site infections after simultaneous pancreas kidney and pancreas transplantation in the Swiss Transplant Cohort Study
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Amico, P., Aubert, J-D., Banz, V., Beckmann, S., Beldi, G., Berger, C., Berishvili, E., Berzigotti, A., Binet, I., Bochud, P-Y., Branca, S., Bucher, H., Catana, E., Cairoli, A., Chalandon, Y., De Geest, S., De Rougemont, O., De Seigneux, S., Dickenmann, M., Dreifuss, J.L., Duchosal, M., Fehr, T., Ferrari-Lacraz, S., Garzoni, C., Golshayan, D., Goossens, N., Halter, F.H.J., Heim, D., Hess, C., Hillinger, S., Hirsch, H.H., Hirt, P., Hofbauer, G., Huynh-Do, U., Immer, F., Koller, M., Laager, M., Laesser, B., Lamoth, F., Lehmann, R., Leichtle, A., Manuel, O., Marti, H.P., Martinelli, M., McLin, V., Mellac, K., Merçay, A., Mettler, K., Müller, A., Mueller, N.J., Müller-Arndt, U., Müllhaupt, B., Nägeli, M., Oldani, G., Pascual, M., Passweg, J., Pazeller, R., Posfay-Barbe, K., Rick, J., Rosselet, A., Rossi, S., Rothlin, S., Ruschitzka, F., Schachtner, T., Schanz, U., Schaub, S., Scherrer, A., Schnyder, A., Schuurmans, M., Schwab, S., Sengstag, T., Simonetta, F., Stampf, S., Steiger, J., Stirnimann, G., Stürzinger, U., Van Delden, C., Venetz, J-P., Villard, J., Vionnet, J., Wick, M., Wilhelm, M., Yerly, P., Schreiber, P.W., Boggian, K., Neofytos, D., van Delden, C., Egli, A., Hirzel, C., Schmied, B., Gürke, L., Matter, M., Berney, T., de Rougemont, O., and Kuster, S.P.
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- 2022
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3. Renal failure: a non-cardiac source of high sensitivity cardiac troponin T
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Papachristou, A, primary, Puelacher, C, additional, Glarner, N, additional, Strebel, I, additional, Steiger, J, additional, Diebold, M, additional, Lurati Buse, G, additional, Bolliger, D, additional, Steiner, L A, additional, Gurke, L, additional, Wolff, T, additional, Mujagic, E, additional, Gualandro, D M, additional, Mueller, C, additional, and Breidthardt, T, additional
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- 2022
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4. Surgical site infections after simultaneous pancreas kidney and pancreas transplantation in the Swiss Transplant Cohort Study
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Schreiber, P.W., primary, Laager, M., additional, Boggian, K., additional, Neofytos, D., additional, van Delden, C., additional, Egli, A., additional, Dickenmann, M., additional, Hirzel, C., additional, Manuel, O., additional, Koller, M., additional, Rossi, S., additional, Schmied, B., additional, Gürke, L., additional, Matter, M., additional, Berney, T., additional, de Rougemont, O., additional, Kuster, S.P., additional, Stampf, S., additional, Mueller, N.J., additional, Amico, P., additional, Aubert, J-D., additional, Banz, V., additional, Beckmann, S., additional, Beldi, G., additional, Berger, C., additional, Berishvili, E., additional, Berzigotti, A., additional, Binet, I., additional, Bochud, P-Y., additional, Branca, S., additional, Bucher, H., additional, Catana, E., additional, Cairoli, A., additional, Chalandon, Y., additional, De Geest, S., additional, De Rougemont, O., additional, De Seigneux, S., additional, Dreifuss, J.L., additional, Duchosal, M., additional, Fehr, T., additional, Ferrari-Lacraz, S., additional, Garzoni, C., additional, Golshayan, D., additional, Goossens, N., additional, Halter, F.H.J., additional, Heim, D., additional, Hess, C., additional, Hillinger, S., additional, Hirsch, H.H., additional, Hirt, P., additional, Hofbauer, G., additional, Huynh-Do, U., additional, Immer, F., additional, Laesser, B., additional, Lamoth, F., additional, Lehmann, R., additional, Leichtle, A., additional, Marti, H.P., additional, Martinelli, M., additional, McLin, V., additional, Mellac, K., additional, Merçay, A., additional, Mettler, K., additional, Müller, A., additional, Müller-Arndt, U., additional, Müllhaupt, B., additional, Nägeli, M., additional, Oldani, G., additional, Pascual, M., additional, Passweg, J., additional, Pazeller, R., additional, Posfay-Barbe, K., additional, Rick, J., additional, Rosselet, A., additional, Rothlin, S., additional, Ruschitzka, F., additional, Schachtner, T., additional, Schanz, U., additional, Schaub, S., additional, Scherrer, A., additional, Schnyder, A., additional, Schuurmans, M., additional, Schwab, S., additional, Sengstag, T., additional, Simonetta, F., additional, Steiger, J., additional, Stirnimann, G., additional, Stürzinger, U., additional, Van Delden, C., additional, Venetz, J-P., additional, Villard, J., additional, Vionnet, J., additional, Wick, M., additional, Wilhelm, M., additional, and Yerly, P., additional
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- 2022
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5. Spiritual Intermediality and Spiritual Emblematics in the Early Modern
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Steiger, Johann Anselm
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Religion ,Christian Theology ,History ,bic Book Industry Communication::H Humanities::HR Religion & beliefs::HRC Christianity - Abstract
The small book explains the media theoretical and historical-theological foundations of spiritual intermediality and spirtual emblematica in the Early Modern Period.
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- 2024
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6. Clinical prediction model for prognosis in kidney transplant recipients (KIDMO): study protocol
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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, Immer, Franz, Swisstransplant Kidney Working Group (STAN), Swiss Transplant Cohort Study, Amico, P., Folie, P., Gannagé, M., Matter, M., Nilsson, J., Peloso, A., de Rougemont, O., Schnyder, A., Spartà, G., Storni, F., Villard, J., Wirth-Müller, U., Wolff, T., Aubert, J.D., Banz, V., Beckmann, S., Beldi, G., Berger, C., Berishvili, E., Berzigotti, A., Bochud, P.Y., Branca, S., Bucher, H., Catana, E., Cairoli, A., Chalandon, Y., De Geest, S., De Seigneux, S., Dickenmann, M., Dreifuss, J.L., Duchosal, M., Ferrari-Lacraz, S., Garzoni, C., Goossens, N., Halter, J., Heim, D., Hess, C., Hillinger, S., Hirsch, H.H., Hirt, P., Hoessly, L., Hofbauer, G., Huynh-Do, U., Laesser, B., Lamoth, F., Lehmann, R., Leichtle, A., Manuel, O., Marti, H.P., Martinelli, M., McLin, V., Merçay, A., Mettler, K., Mueller, N.J., Müller-Arndt, U., Müllhaupt, B., Nägeli, M., Oldani, G., Pascual, M., Passweg, J., Pazeller, R., Posfay-Barbe, K., Rick, J., Rosselet, A., Rossi, S., Rothlin, S., Ruschitzka, F., Schachtner, T., Scherrer, A., Schuurmans, M., Sengstag, T., Simonetta, F., Stampf, S., Steiger, J., Stirnimann, G., Van Delden, C., Venetz, J.P., Vionnet, J., Wick, M., Wilhelm, M., and Yerly, P.
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Microbiology (medical) ,Immunology ,Immunology and Allergy ,610 Medicine & health ,Estimated glomerular filtration rate ,Graft survival ,Kidney transplantation ,Patient-reported health status ,Prediction model ,Prognosis ,Prognostic model ,Quality of life ,Risk calculator ,Risk score ,eGFR ,610 Medizin und Gesundheit - 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, 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. Study registration Open Science Framework ID: z6mvj
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- 2023
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7. Donation type and the effect of pre-transplant donor specific antibodies – Data from the Swiss Transplant Cohort Study
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de Rougemont, Olivier, Deng, Yun, Frischknecht, Lukas, Wehmeier, Caroline, Villard, Jean, Ferrari-Lacraz, Sylvie, Golshayan, Déla, Gannagé, Monique, Binet, Isabelle, Wirthmüller, Urs, Sidler, Daniel, Schachtner, Thomas, Schaub, Stefan, Nilsson, Jakob, Swiss Transplant Cohort Study, Amico, P., Axel, A., Aubert, J.D., Banz, V., Sonja, B., Beldi, G., Berger, C., Berishvili, E., Binet, I., Bochud, P.Y., Branca, S., Bucher, H., Carrel, T., Catana, E., Chalandon, Y., De Geest, S., De Rougemont, O., Dickenmann, M., Dreifuss, J.L., Duchosal, M., Fehr, T., Ferrari-Lacraz, S., Franscini, N., Garzoni, C., Soccal, P.G., Gaudet, C., Golshayan, D., Goossens, N., Hadaya, K., Halter, J., Heim, D., Hess, C., Hillinger, S., Hirsch, H., Hirt, P., Hofbauer, G., Huynh-Do, U., Immer, F., Koller, M., Laager, M., Laesser, B., Lehmann, R., Leichtle, A., Lovis, C., Manuel, O., Marti, H.P., Martin, P.Y., Martinelli, M., McLin, V., Mellac, K., Mercay, A., Mettler, K., Mueller, N., Müller, A., Müller, T., Müller-Arndt, U., Müllhaupt, B., Nägeli, M., Oldani, G., Pascual, M., Posfay-Barbe, K., Rick, J., Rosselet, A., Rossi, S., Rothlin, S., Ruschitzka, F., Schanz, U., Schaub, S., Schnyder, A., Schuurmans, M., Sengstag, T., Simonetta, F., Staufer, K., Stampf, S., Steiger, J., Stirniman, G., Stürzinger, U., Van Delden, C., Venetz, J.P., Villard, J., Vionnet, J., Wick, M., Wilhlem, M., and Yerly, P.
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Humans ,Antibodies ,Blood Grouping and Crossmatching ,Cohort Studies ,Living Donors ,Switzerland ,ABMR ,DBD ,DCD ,donor specific antibodies ,graft loss ,kidney transplantation ,living donation ,virtual cross-match ,Immunology ,Immunology and Allergy ,610 Medicine & health ,610 Medizin und Gesundheit - Abstract
IntroductionThe type of donation may affect how susceptible a donor kidney is to injury from pre-existing alloimmunity. Many centers are, therefore, reluctant to perform donor specific antibody (DSA) positive transplantations in the setting of donation after circulatory death (DCD). There are, however, no large studies comparing the impact of pre-transplant DSA stratified on donation type in a cohort with a complete virtual cross-match and long-term follow-up of transplant outcome.MethodsWe investigated the effect of pre-transplant DSA on the risk of rejection, graft loss, and the rate of eGFR decline in 1282 donation after brain death (DBD) transplants and compared it to 130 (DCD) and 803 living donor (LD) transplants.ResultsThere was a significant worse outcome associated with pre-transplant DSA in all of the studied donation types. DSA directed against Class II HLA antigens as well as a high cumulative mean fluorescent intensity (MFI) of the detected DSA showed the strongest association with worse transplant outcome. We could not detect a significant additive negative effect of DSA in DCD transplantations in our cohort. Conversely, DSA positive DCD transplants appeared to have a slightly better outcome, possibly in part due to the lower mean fluorescent intensity (MFI) of the pre-transplant DSA. Indeed when DCD transplants were compared to DBD transplants with similar MFI (DiscussionOur results suggest that the negative impact of pre-transplant DSA on graft outcome could be similar between all donation types. This suggests that immunological risk assessment could be performed in a similar way regardless of the type of donor kidney transplantation.
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- 2023
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8. Developing and testing a Corona VaccinE tRiAL pLatform (COVERALL) to study Covid-19 vaccine response in immunocompromised patients
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Katharina, Kusejko, Frédérique, Chammartin, Daniel, Smith, Marc, Odermatt, Julian, Schuhmacher, Michael, Koller, Huldrych F, Günthard, Matthias, Briel, Heiner C, Bucher, Benjamin, Speich, Patrick, Yerly, Swiss HIV Cohort Study, Swiss Transplant Cohort Study, Abela, I., Aebi-Popp, K., Anagnostopoulos, A., Battegay, M., Bernasconi, E., Braun, D.L., Bucher, H.C., Calmy, A., Cavassini, M., Ciuffi, A., Dollenmaier, G., Egger, M., Elzi, L., Fehr, J., Fellay, J., Furrer, H., Fux, C.A., Günthard, H.F., Hachfeld, A., Haerry, D., Hasse, B., Hirsch, H.H., Hoffmann, M., Hösli, I., Huber, M., Kahlert, C.R., Kaiser, L., Keiser, O., Klimkait, T., Kouyos, R.D., Kovari, H., Kusejko, K., Martinetti, G., Martinez de Tejada, B., Marzolini, C., Metzner, K.J., Müller, N., Nemeth, J., Nicca, D., Paioni, P., Pantaleo, G., Perreau, M., Rauch, A., Schmid, P., Speck, R., Stöckle, M., Tarr, P., Trkola, A., Wandeler, G., Yerly, S., Amico, P., Aubert, J.D., Banz, V., Beckmann, S., Beldi, G., Berger, C., Berishvili, E., Berzigotti, A., Binet, I., Bochud, P.Y., Branca, S., Bucher, H., Catana, E., Cairoli, A., Chalandon, Y., De Geest, S., De Rougemont, O., De Seigneux, S., Dickenmann, M., Dreifuss, J.L., Duchosal, M., Fehr, T., Ferrari-Lacraz, S., Garzoni, C., Golshayan, D., Goossens, N., Halter, FHJ, Heim, D., Hess, C., Hillinger, S., Hirt, P., Hofbauer, G., Huynh-Do, U., Immer, F., Koller, M., Laager, M., Laesser, B., Lamoth, F., Lehmann, R., Leichtle, A., Manuel, O., Marti, H.P., Martinelli, M., McLin, V., Mellac, K., Merçay, A., Mettler, K., Müller, A., Mueller, N.J., Müller-Arndt, U., Müllhaupt, B., Nägeli, M., Oldani, G., Pascual, M., Passweg, J., Pazeller, R., Posfay-Barbe, K., Rick, J., Rosselet, A., Rossi, S., Rothlin, S., Ruschitzka, F., Schachtner, T., Schanz, U., Schaub, S., Scherrer, A., Schnyder, A., Schuurmans, M., Schwab, S., Sengstag, T., Simonetta, F., Stampf, S., Steiger, J., Stirnimann, G., Stürzinger, U., Van Delden, C., Venetz, J.P., Villard, J., Vionnet, J., Wick, M., Wilhelm, M., Yerly, P., University of Zurich, and Kusejko, Katharina
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10028 Institute of Medical Virology ,COVID-19 Vaccines ,SARS-CoV-2 ,COVID-19 ,610 Medicine & health ,2725 Infectious Diseases ,10234 Clinic for Infectious Diseases ,Cohort Studies ,Immunocompromised Host ,Treatment Outcome ,10032 Clinic for Oncology and Hematology ,10209 Clinic for Cardiology ,Humans ,10178 Clinic for Pneumology ,COVID-19/prevention & control ,HIV ,Immunocompromised ,REDCap ,Transplant patients ,Trial platform - Abstract
BACKGROUND The rapid course of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic calls for fast implementation of clinical trials to assess the effects of new treatment and prophylactic interventions. Building trial platforms embedded in existing data infrastructures is an ideal way to address such questions within well-defined subpopulations. METHODS We developed a trial platform building on the infrastructure of two established national cohort studies: the Swiss human immunodeficiency virus (HIV) Cohort Study (SHCS) and Swiss Transplant Cohort Study (STCS). In a pilot trial, termed Corona VaccinE tRiAL pLatform (COVERALL), we assessed the vaccine efficacy of the first two licensed SARS-CoV-2 vaccines in Switzerland and the functionality of the trial platform. RESULTS Using Research Electronic Data Capture (REDCap), we developed a trial platform integrating the infrastructure of the SHCS and STCS. An algorithm identifying eligible patients, as well as baseline data transfer ensured a fast inclusion procedure for eligible patients. We implemented convenient re-directions between the different data entry systems to ensure intuitive data entry for the participating study personnel. The trial platform, including a randomization algorithm ensuring balance among different subgroups, was continuously adapted to changing guidelines concerning vaccination policies. We were able to randomize and vaccinate the first trial participant the same day we received ethics approval. Time to enroll and randomize our target sample size of 380 patients was 22 days. CONCLUSION Taking the best of each system, we were able to flag eligible patients, transfer patient information automatically, randomize and enroll the patients in an easy workflow, decreasing the administrative burden usually associated with a trial of this size.
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- 2022
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9. Surgical site infections after simultaneous pancreas kidney and pancreas transplantation in the Swiss Transplant Cohort Study
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P.W. Schreiber, M. Laager, K. Boggian, D. Neofytos, C. van Delden, A. Egli, M. Dickenmann, C. Hirzel, O. Manuel, M. Koller, S. Rossi, B. Schmied, L. Gürke, M. Matter, T. Berney, O. de Rougemont, S.P. Kuster, S. Stampf, N.J. Mueller, P. Amico, J-D. Aubert, V. Banz, S. Beckmann, G. Beldi, C. Berger, E. Berishvili, A. Berzigotti, I. Binet, P-Y. Bochud, S. Branca, H. Bucher, E. Catana, A. Cairoli, Y. Chalandon, S. De Geest, O. De Rougemont, S. De Seigneux, J.L. Dreifuss, M. Duchosal, T. Fehr, S. Ferrari-Lacraz, C. Garzoni, D. Golshayan, N. Goossens, F.H.J. Halter, D. Heim, C. Hess, S. Hillinger, H.H. Hirsch, P. Hirt, G. Hofbauer, U. Huynh-Do, F. Immer, B. Laesser, F. Lamoth, R. Lehmann, A. Leichtle, H.P. Marti, M. Martinelli, V. McLin, K. Mellac, A. Merçay, K. Mettler, A. Müller, U. Müller-Arndt, B. Müllhaupt, M. Nägeli, G. Oldani, M. Pascual, J. Passweg, R. Pazeller, K. Posfay-Barbe, J. Rick, A. Rosselet, S. Rothlin, F. Ruschitzka, T. Schachtner, U. Schanz, S. Schaub, A. Scherrer, A. Schnyder, M. Schuurmans, S. Schwab, T. Sengstag, F. Simonetta, J. Steiger, G. Stirnimann, U. Stürzinger, C. Van Delden, J-P. Venetz, J. Villard, J. Vionnet, M. Wick, M. Wilhelm, P. Yerly, Swiss Transplant Cohort Study, Amico, P., Aubert, J.D., Banz, V., Beckmann, S., Beldi, G., Berger, C., Berishvili, E., Berzigotti, A., Binet, I., Bochud, P.Y., Branca, S., Bucher, H., Catana, E., Cairoli, A., Chalandon, Y., De Geest, S., De Rougemont, O., De Seigneux, S., Dickenmann, M., Dreifuss, J.L., Duchosal, M., Fehr, T., Ferrari-Lacraz, S., Garzoni, C., Golshayan, D., Goossens, N., Halter, FHJ, Heim, D., Hess, C., Hillinger, S., Hirsch, H.H., Hirt, P., Hofbauer, G., Huynh-Do, U., Immer, F., Koller, M., Laager, M., Laesser, B., Lamoth, F., Lehmann, R., Leichtle, A., Manuel, O., Marti, H.P., Martinelli, M., McLin, V., Mellac, K., Merçay, A., Mettler, K., Müller, A., Mueller, N.J., Müller-Arndt, U., Müllhaupt, B., Nägeli, M., Oldani, G., Pascual, M., Passweg, J., Pazeller, R., Posfay-Barbe, K., Rick, J., Rosselet, A., Rossi, S., Rothlin, S., Ruschitzka, F., Schachtner, T., Schanz, U., Schaub, S., Scherrer, A., Schnyder, A., Schuurmans, M., Schwab, S., Sengstag, T., Simonetta, F., Stampf, S., Steiger, J., Stirnimann, G., Stürzinger, U., Van Delden, C., Venetz, J.P., Villard, J., Vionnet, J., Wick, M., Wilhelm, M., and Yerly, P.
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Microbiology (medical) ,Adult ,610 Medicine & health ,General Medicine ,Kidney ,Cohort Studies ,Humans ,Kidney Transplantation/adverse effects ,Pancreas ,Pancreas Transplantation/adverse effects ,Risk Factors ,Surgical Wound Infection/epidemiology ,Surgical Wound Infection/etiology ,Switzerland/epidemiology ,Hospital-acquired infection ,Pancreas transplantation ,Simultaneous kidney–pancreas transplantation ,Surgical site infection ,Kidney Transplantation ,Infectious Diseases ,Surgical Wound Infection ,Pancreas Transplantation ,Switzerland - Abstract
BACKGROUND Among hospital-acquired infections, surgical site infections (SSIs) are frequent. SSI in the early post-transplant course poses a relevant threat to transplant recipients. AIM To determine incidence, risk factors for SSI and its association with post-transplant outcomes and pancreas transplant (P-Tx) recipients. METHODS Adult simultaneous kidney-pancreas transplantation (SPK-T) and P-Tx recipients with a follow-up of at least 90 days were identified in the Swiss Transplant Cohort Study (STCS) dataset. Except for the categorization of SSIs according to Centers for Disease Control and Prevention (CDC) criteria, all other data were prospectively collected. Risk factors for SSI were investigated with logistic regression. A Weibull accelerated failure-time model was applied to address the impact of SSI on length of stay, correcting for transplant-related complications and delayed graft function. FINDINGS Of 130 transplant recipients, 108 SPK-Tx and 22 P-Tx, 18 (14%) individuals developed SSI within the first 90 days after transplantation. Deep incisional (seven, 38.9%) and organ/space infections (eight, 44.4%) predominated. In the majority of SSIs (11, 61.1%; two SSIs with simultaneous identification of fungal pathogens) bacteria were detected with Enterococcus spp. being most frequent. The median duration of hospitalization after transplantation was significantly longer in recipients with SSI (median: 26 days; interquartile range (IQR): 19-44) than in patients without SSI (median: 17 days; IQR: 12-25; P = 0.002). In multivariate analysis, SSI was significantly associated with increased length of stay and prolonged the duration of hospitalization by 36% (95% confidence interval: 4-79). CONCLUSION SSI after SPK-Tx and P-Tx occurred at a frequency of 14%. Among pathogens, Enterococcus spp. predominated. SSI was independently associated with a longer hospitalization after transplantation.
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- 2022
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10. Functional Natural Killer-cell Genetics and Microvascular Inflammation After Kidney Transplantation: An Observational Cohort Study.
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Diebold M, Vietzen H, Schatzl M, Mayer KA, Haindl S, Heinzel A, Hittmeyer P, Herz CT, Hopfer H, Menter T, Kühner LM, Berger SM, Puchhammer-Stöckl E, Doberer K, Steiger J, Schaub S, and Böhmig GA
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Background: Recent evidence highlights the pivotal role of natural killer (NK) cells in allograft rejection., Methods: We explored associations of missing self and gene polymorphisms determining the phenotype and/or functionality of NK cells with microvascular inflammation (MVI) in a single-center cohort of 507 consecutive kidney transplant recipients. Patients were genotyped for killer cell Ig-like receptors and polymorphisms in 4 selected genes (FCGR3AV/F158 [rs396991], KLRC2wt/del, KLRK1HNK/LNK [rs1049174], and rs9916629-C/T)., Results: MVI was detected in 69 patients (13.6%). In a proportional odds model, the KLRC2del/del variant reduced MVI risk (odds ratio [OR] 0.26; 95% confidence interval [CI], 0.05-0.93; P = 0.037) independent of donor-specific antibodies, HLA class II eplet mismatch, and number of biopsies. Conversely, missing self (OR 1.40; 95% CI, 1.08-1.80; P = 0.011) and the rs9916629 T/T gene variant increased the risk (OR 1.70; 95% CI, 1.08-2.68; P = 0.021). Graft loss tended to be more frequent among patients with missing self ≥2 (hazard ratio 1.97; 95% CI, 0.89-4.37; P = 0.097), without influence on estimated glomerular filtration trajectories. FCGR3A variants were associated with MVI only in patients with preformed and/or de novo donor-specific antibodies (OR 4.14; 95% CI, 0.99-17.47; P = 0.052)., Conclusions: Missing self and NK-cell genetics may contribute to MVI, underscoring the important role of NK cells in transplant rejection., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2024
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11. Early Complications in Kidney Donors and Course of Health-related Quality of Life 12 mo After Donation: An Analysis of the Swiss Organ Living-Donor Health Registry.
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Brügger C, Hunkeler Z, Diebold M, Krättli J, Geiger I, Wehmeier C, Wolff T, Vogt B, Storni F, Golshayan D, Zingg T, de Seigneux S, Haidar F, Binet I, Schnyder A, Hübel K, Müller T, Rössler F, Steiger J, and Hirt-Minkowski P
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Background: Since 1998, the Swiss Organ Living-Donor Health Registry (SOL-DHR) has recorded peri- and postoperative complications of living kidney (LK) donors, as reported by all Swiss transplant centers and has collected follow-up data prospectively., Methods: We analyzed the early complications of 2379 consecutive individuals who donated a kidney between January 1998 and June 2022 and assessed their health-related quality of life (HRQoL) 1 y after donation., Results: In total, 447 early complications in 404/2379 LK donors (17.0%) were reported to the SOL-DHR. The frequency of donors with major complications (ie, Dindo-Clavien classification 3/4) was 2.4%. In total, 31 donors needed reoperation, and in 13/31 (42%), donors reoperation was necessary because of bleeding complications. Independent risk factors for major early complications were older donor age ( P = 0.005) and type of surgical approach (ie, the laparoscopic retroperitoneal compared with laparoscopic transabdominal surgery; P = 0.01), but not sex. We observed a U -shaped association of body mass index, where very low/high body mass indexes had higher odds of major early complications, without reaching statistical significance. Although HRQoL was affected by kidney donation, 96.5% of donors indicated that they would donate their kidney again. The only independent risk factor for low HRQoL based on mental health scores was worsening EB after living kidney donation ( P < 0.0001)., Conclusions: Overall, living kidney donation is a safe procedure, however, donor age and type of surgical approach affect the risk of complications. A decline in emotional bonding with the recipient after donation may worsen the quality of life of the donor., (Copyright © 2024 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc.)
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- 2024
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12. Immunogenicity of High-Dose Versus MF59-Adjuvanted Versus Standard Influenza Vaccine in Solid Organ Transplant Recipients: The Swiss/Spanish Trial in Solid Organ Transplantation on Prevention of Influenza (STOP-FLU Trial).
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Mombelli M, Neofytos D, Huynh-Do U, Sánchez-Céspedes J, Stampf S, Golshayan D, Dahdal S, Stirnimann G, Schnyder A, Garzoni C, Venzin RM, Magenta L, Schönenberger M, Walti L, Hirzel C, Munting A, Dickenmann M, Koller M, Aubert JD, Steiger J, Pascual M, Mueller TF, Schuurmans M, Berger C, Binet I, Villard J, Mueller NJ, Egli A, Cordero E, van Delden C, and Manuel O
- Subjects
- Adult, Humans, Switzerland, Antibodies, Viral, Polysorbates adverse effects, Squalene adverse effects, Adjuvants, Immunologic, Hemagglutination Inhibition Tests, Influenza Vaccines, Influenza, Human prevention & control, Influenza A Virus, H1N1 Subtype, Organ Transplantation adverse effects
- Abstract
Background: The immunogenicity of the standard influenza vaccine is reduced in solid-organ transplant (SOT) recipients, so new vaccination strategies are needed in this population., Methods: Adult SOT recipients from 9 transplant clinics in Switzerland and Spain were enrolled if they were >3 months after transplantation. Patients were randomized (1:1:1) to a MF59-adjuvanted or a high-dose vaccine (intervention), or a standard vaccine (control), with stratification by organ and time from transplant. The primary outcome was vaccine response rate, defined as a ≥4-fold increase of hemagglutination-inhibition titers to at least 1 vaccine strain at 28 days postvaccination. Secondary outcomes included polymerase chain reaction-confirmed influenza and vaccine reactogenicity., Results: A total of 619 patients were randomized, 616 received the assigned vaccines, and 598 had serum available for analysis of the primary endpoint (standard, n = 198; MF59-adjuvanted, n = 205; high-dose, n = 195 patients). Vaccine response rates were 42% (84/198) in the standard vaccine group, 60% (122/205) in the MF59-adjuvanted vaccine group, and 66% (129/195) in the high-dose vaccine group (difference in intervention vaccines vs standard vaccine, 0.20; 97.5% confidence interval [CI], .12-1); P < .001; difference in high-dose vs standard vaccine, 0.24 [95% CI, .16-1]; P < .001; difference in MF59-adjuvanted vs standard vaccine, 0.17 [97.5% CI, .08-1]; P < .001). Influenza occurred in 6% of the standard, 5% in the MF59-adjuvanted, and 7% in the high-dose vaccine groups. Vaccine-related adverse events occurred more frequently in the intervention vaccine groups, but most of the events were mild., Conclusions: In SOT recipients, use of an MF59-adjuvanted or a high-dose influenza vaccine was safe and resulted in a higher vaccine response rate., Clinical Trials Registration: Clinicaltrials.gov NCT03699839., Competing Interests: Potential conflicts of interest. O. M. reports receiving grants from Lophius Bioscience and participated in advisory boards of Takeda and MSD. N. J. M. reports receiving grants from the Swiss Transplant Cohort Study, receiving support for attending a meeting by Biotest, and participating in the board of the Swiss Society for Infectious Diseases. All other authors report no potential conflicts. All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed., (© The Author(s) 2023. Published by Oxford University Press on behalf of Infectious Diseases Society of America.)
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- 2024
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13. Urine CXCL10 to Assess BK Polyomavirus Replication After Kidney Transplantation.
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Haller J, Diebold M, Leuzinger K, Wehmeier C, Handschin J, Amico P, Hirt-Minkowski P, Steiger J, Dickenmann M, Hirsch HH, and Schaub S
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- Humans, Biomarkers, Chemokine CXCL10 urine, Urine, BK Virus, Kidney Diseases, Kidney Transplantation adverse effects, Polyomavirus Infections diagnosis, Tumor Virus Infections diagnosis
- Abstract
Background: Urine CXCL10 is a biomarker for renal allograft inflammation induced by rejection, urinary tract infection, or BK polyomavirus (BKPyV) replication. This study aimed to compare urine CXCL10 levels in different stages of BKPyV reactivation and to investigate urine CXCL10 as a biomarker for BKPyV replication., Methods: We included 763 urine samples (235 patients) from an interventional, randomized trial obtained in the context of regular screening for urine CXCL10 levels. All urine samples had a complete urine sediment analysis, no rejection episode noted within 30 d before urine collection, and a urine decoy cell analysis was conducted within ±3 d., Results: Urine CXCL10 levels were 2.31 ng/mmol in samples without BKPyV viruria, slightly rose to 4.35 ng/mmol with BKPyV viruria, and then markedly increased to 16.42 ng/mmol when decoy cells were detectable, but still in the absence of BKPyV DNAemia ( P < 0.001). The highest urine CXCL10 values were observed in samples with BKPyV DNAemia (median 42.59 ng/mmol). The area under the curve of urine CXCL10 levels to detect ≥3 decoy cells was 0.816. At a CXCL10 cutoff of 3 ng/mmol, the negative predictive value was 97%. The area under the curve of urine CXCL10 levels to detect BKPyV DNAemia was 0.882, with a negative predictive value of 99% at a CXCL10 cutoff of 3 ng/mmol., Conclusions: Urine CXCL10 levels are already significantly elevated in BKPyV viruria (especially with decoy cell shedding) and further increase with BKPyV DNAemia. Low urine CXCL10 values can rule out the presence of ≥3 decoy cells and BKPyV DNAemia with high certainty., Competing Interests: The authors declare no conflicts of interest., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2023
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14. Outcome of kidney transplantation from senior deceased donors: a single centre study.
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Magerl K, Diebold M, Wehmeier C, Amico P, Dickenmann M, Steiger J, Schaub S, and Hirt-Minkowski P
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- Aged, Humans, Graft Rejection epidemiology, Graft Survival, Kidney, Prospective Studies, Retrospective Studies, Tissue Donors, Treatment Outcome, Middle Aged, Kidney Transplantation
- Abstract
Background: Addressing the current demographic development, the efficacy and safety of kidney transplantations from very senior donors needs to be carefully evaluated. The aim of this study was to analyse patient and graft outcomes of kidney allograft recipients stratified by donor age., Methods: We retrospectively investigated n = 491 patients from a prospective, observational renal transplant cohort. Patients with kidneys from very old donors (n = 75, aged >70 years), elderly donors (n = 158, between 60-70 years), and regular donors (n = 258, aged <60 years) were investigated. The primary outcome was death-censored graft survival within the predefined donor age groups., Results: Overall, n = 57 death-censored graft losses occurred. Graft loss was proportionally highest in the very old donor group (n = 11/75), but this did not reach statistical significance when compared to the elderly (14/158) and regular donor groups (32/258); (p = 0.37). Kaplan-Meier analysis demonstrated that 3-year/5-year death-censored graft survival in the very old donor group was 96%/86% and did not differ from the other age groups (p = 0.44). Median estimated glomerular filtration rate (eGFR), calculated by the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) formula (in ml/min/1.73 m2 of body surface) 12 months post-transplant did not differ between the elderly donor and very old donor groups (p = 0.53). However, patients who received regular donor kidneys had higher median eGFR compared to recipients in both the elderly and very old donor groups (p <0.0001). During follow-up, 31% of patients developed at least one acute rejection episode. Time-to-event analysis demonstrated no difference in occurrence of any acute rejection event across all three groups (p = 0.11)., Conclusions: This study demonstrates that kidney transplantation from carefully selected very old donors seems a valid option with reasonable short- and mid-term outcomes.
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- 2023
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15. Randomized Trial to Assess the Clinical Utility of Renal Allograft Monitoring by Urine CXCL10 Chemokine.
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Hirt-Minkowski P, Handschin J, Stampf S, Hopfer H, Menter T, Senn L, Hönger G, Wehmeier C, Amico P, Steiger J, Koller M, Dickenmann M, and Schaub S
- Subjects
- Humans, Chemokine CXCL10, Graft Rejection diagnosis, Biomarkers, Antibodies, Allografts, Kidney Transplantation
- Abstract
Significance Statement: This study is the first randomized controlled trial to investigate the clinical utility of a noninvasive monitoring biomarker in renal transplantation. Although urine CXCL10 monitoring could not demonstrate a beneficial effect on 1-year outcomes, the study is a rich source for future design of trials aiming to explore the clinical utility of noninvasive biomarkers. In addition, the study supports the use of urine CXCL10 to assess the inflammatory status of the renal allograft., Background: Urine CXCL10 is a promising noninvasive biomarker for detection of renal allograft rejection. The aim of this study was to investigate the clinical utility of renal allograft monitoring by urine CXCL10 in a randomized trial., Methods: We stratified 241 patients, 120 into an intervention and 121 into a control arm. In both arms, urine CXCL10 levels were monitored at three specific time points (1, 3, and 6 months post-transplant). In the intervention arm, elevated values triggered performance of an allograft biopsy with therapeutic adaptations according to the result. In the control arm, urine CXCL10 was measured, but the results concealed. The primary outcome was a combined end point at 1-year post-transplant (death-censored graft loss, clinical rejection between month 1 and 1-year, acute rejection in 1-year surveillance biopsy, chronic active T-cell-mediated rejection in 1-year surveillance biopsy, development of de novo donor-specific HLA antibodies, or eGFR <25 ml/min)., Results: The incidence of the primary outcome was not different between the intervention and the control arm (51% versus 49%; relative risk (RR), 1.04 [95% confidence interval, 0.81 to 1.34]; P = 0.80). When including 175 of 241 (73%) patients in a per-protocol analysis, the incidence of the primary outcome was also not different (55% versus 49%; RR, 1.11 [95% confidence interval, 0.84 to 1.47]; P = 0.54). The incidence of the individual end points was not different as well., Conclusions: This study could not demonstrate a beneficial effect of urine CXCL10 monitoring on 1-year outcomes (ClinicalTrials.gov_ NCT03140514 )., (Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Society of Nephrology.)
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- 2023
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16. Excellent Clinical Long-Term Outcomes of Kidney Transplantation From Small Pediatric Donors (Age ≤ 5 Years) Despite Early Hyperfiltration Injury.
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Burkhalter F, Holzmann Y, Georgalis A, Wehmeier C, Hirt-Minkowski P, Hoenger G, Hopfer H, Guerke L, Steiger J, Schaub S, and Amico P
- Abstract
Background: The use of small pediatric donors (age ≤ 5 years and body weight < 20kg) for adult transplant recipients is still regarded controversially in terms of early complications, long-term outcomes, and development of hyperfiltration injury due to body size mismatch., Objective: To investigate long-term outcomes of adult renal allograft recipients receiving a kidney from small pediatric donor (SPD) in terms of kidney function and early features of hyperfiltration injury such as histological changes and proteinuria., Design: Retrospective, single center study., Settings: Transplant center of the University Hospital of Basel, Switzerland., Patients: Adult renal allograft recipients receiving a kidney from a small pediatric donor at our center between 2005 and 2017., Methods: The outcome of 47 transplants from SPD were compared with 153 kidney transplants from deceased-standard criteria donors (SCD) occurring during the same time period. Incidence of clinical signs of hyperfiltration injury (eg, proteinuria) was investigated. According to our policy, surveillance biopsies were taken at 3 and 6 months post-transplant and were evaluated in terms of signs of hyperfiltration injury., Results: At a median follow-up of 2.3 years post-transplant, death-censored graft survival of SPD was comparable to transplants from SCD (94% vs 93%; P = .54). Furthermore, allograft function at last follow-up (estimated glomerular filtration rate-Modification of Diet in Renal Disease) was significantly higher in pediatric transplant (80 vs 55 ml/min/1.73 m
2 , P = .002). We found histological signs of early hyperfiltration injury in 55% of SPD. There was an equally low proteinuria in both groups during follow-up., Limitations: It is a single center and retrospective observational study with small sample size. The outcomes were investigated in a well-selected population of recipients with low body mass index, low immunological risk, and well-controlled hypertension and was not compared with equal selected group of recipients., Conclusions: Early histological and clinical signs of hyperfiltration injury in SPD is frequent. Despite the hyperfiltration injury, there is an equal allograft survival and even superior allograft function in SPD compared with SCD during follow-up. This observation supports the concept of high adaptive capacity of pediatric donor kidneys., Competing Interests: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article., (© The Author(s) 2023.)- Published
- 2023
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17. Signatures of Life Detected in Images of Rocks Using Neural Network Analysis Demonstrate New Potential for Searching for Biosignatures on the Surface of Mars.
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Corenblit D, Decaux O, Delmotte S, Toumazet JP, Arrignon F, André MF, Darrozes J, Davies NS, Julien F, Otto T, Ramillien G, Roussel E, Steiger J, and Viles H
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- Humans, Geologic Sediments chemistry, Fossils, Neural Networks, Computer, Exobiology methods, Extraterrestrial Environment chemistry, Mars
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Microorganisms play a role in the construction or modulation of various types of landforms. They are especially notable for forming microbially induced sedimentary structures (MISS). Such microbial structures have been considered to be among the most likely biosignatures that might be encountered on the martian surface. Twenty-nine algorithms have been tested with images taken during a laboratory experiment for testing their performance in discriminating mat cracks (MISS) from abiotic mud cracks. Among the algorithms, neural network types produced excellent predictions with similar precision of 0.99. Following that step, a convolutional neural network (CNN) approach has been tested to see whether it can conclusively detect MISS in images of rocks and sediment surfaces taken at different natural sites where present and ancient (fossil) microbial mat cracks and abiotic desiccation cracks were observed. The CNN approach showed excellent prediction of biotic and abiotic structures from the images (global precision, sensitivity, and specificity, respectively, 0.99, 0.99, and 0.97). The key areas of interest of the machine matched well with human expertise for distinguishing biotic and abiotic forms (in their geomorphological meaning). The images indicated clear differences between the abiotic and biotic situations expressed at three embedded scales: texture (size, shape, and arrangement of the grains constituting the surface of one form), form (outer shape of one form), and pattern of form arrangement (arrangement of the forms over a few square meters). The most discriminative components for biogenicity were the border of the mat cracks with their tortuous enlarged and blistered morphology more or less curved upward, sometimes with thin laminations. To apply this innovative biogeomorphological approach to the images obtained by rovers on Mars, the main physical and biological sources of variation in abiotic and biotic outcomes must now be further considered.
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- 2023
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18. Differences Between Centers in Psychosocial Evaluations for Living Kidney Donors Do Not Influence Outcome: Results From an Observational Multicenter Study.
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Ludwig G, Geiger I, Götzmann L, Jordan KD, Döbbel S, Klaghofer R, Salathé M, Stillhard U, Meinlschmidt G, Kiss A, Venetz JP, Steiger J, and Hirt-Minkowski P
- Abstract
Rather little is known about how psychosocial evaluations for living kidney donation (LKD) are performed. We aimed to explore whether Swiss transplant centers (STCs) vary regarding the rate of living kidney donors refused for psychosocial reasons, the psychosocial evaluation process, and the characteristics of the donors., Methods: We investigated 310 consecutive candidates for LKD in 4 of 6 existing STC during mandatory psychosocial evaluations. We registered (i) sociodemographic data, (ii) the type of the decision-making process regarding LKD (ie, snap decision, postponed, deliberate, other), (iii) the evaluator's perception of the donor's emotional bonding and his/her conflicts with the recipient, (iv) the donor's prognosis from a psychosocial perspective, (v) time taken for the psychosocial evaluation, and (vi) its result (eligible, eligible with additional requirements, not eligible)., Results: Centers had comparable proportions of noneligible donors (2.9%-6.0%) but differed significantly in the percentage of donors accepted with additional requirements (3.4%-66%, P < 0.001). Significant differences emerged between centers regarding the time needed for evaluation (75-160 min [interquartile range (IQR) 75-180 min] per single exploration, P < 0.001), the perception of the donor's emotional bonding (visual analogue scale [VAS] 8-9 [IQR 6-10], P < 0.001), his/her conflicts with the recipient (VAS 1.5-2 [IQR 0-3], P = 0.006), the donor's psychosocial prognosis (VAS 8-9 [IQR 7-10], P < 0.001), and the type of decision concerning LKD (59%-82% with snap decision "yes," P = 0.008). However, despite differences in the psychosocial evaluation process, the rates of patients accepted for transplantation (eligible and eligible with additional requirements versus noneligible) were comparable across STC ( P = 0.72)., Conclusions: Our results emphasize that it is more important to establish clear guidelines to identify potential psychosocial risks than to stringently standardize the procedure for psychosocial evaluation of living kidney donors., Competing Interests: IQR, interquartile range; VAS, visual analogue scale (for emotional relationship: 0 = not attached to 10 = closely attached; for conflict: 0 = no conflict to 10 = conflicts; for prognosis: 0 = not good to 10 = very good).The authors of this manuscript declare no conflicts of interest as described by Transplantation DIRECT., (Copyright © 2022 The Author(s). Transplantation Direct. Published by Wolters Kluwer Health, Inc.)
- Published
- 2022
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