164 results on '"Bevc S."'
Search Results
2. The Role of Repetition on Clinical Skills of Medical Students in Peer Tutoring System
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Biteznik, J, Kupljen, L, Laufer, K, Bevc, S, Biteznik, J, Kupljen, L, Laufer, K, and Bevc, S
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- 2024
3. Impact of clinical simulation with a theoretical introduction on theoretical knowledge of students
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Arh, R, Jazbec, L, Mrak, Z, Sonjak, L, Varda, L, Petreski, T, Bevc, S, Arh, R, Jazbec, L, Mrak, Z, Sonjak, L, Varda, L, Petreski, T, and Bevc, S
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- 2024
4. The role of evaluation forms as learing materials
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Remskar, A, Dreu, L, Lecnik, A, Bevc, S, Remskar, A, Dreu, L, Lecnik, A, and Bevc, S
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- 2024
5. The importance of focused preparation in peer tutor system
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Plavec, E, Planko, I, Vizler, A, Bevc, S, Plavec, E, Planko, I, Vizler, A, and Bevc, S
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- 2024
6. The role of learning in pre-clinical and clinical environment on performing the ABCDE approach in a simulated situation
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Biteznik, J, Dakovic, B, Varda, L, Petreski, T, Bevc, S, Biteznik, J, Dakovic, B, Varda, L, Petreski, T, and Bevc, S
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- 2024
7. Effectiveness of theoretical and simulation-based learning of sepsis management using the ABCDE approach
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Sonjak, L, Podlesnik, L, Petreski, T, Varda, L, Bevc, S, Sonjak, L, Podlesnik, L, Petreski, T, Varda, L, and Bevc, S
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- 2024
8. Surrogate nutritional markers and mortality in haemodialysis patients
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Ocepek, A., primary, Bevc, S., additional, Ekart, R., additional, and Bržan, P. Povalej, additional
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- 2023
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9. EurOP2E – the European open platform for prescribing education, a consensus study among clinical pharmacology and therapeutics teachers
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Bakkum, Michiel J., Richir, Milan C., Papaioannidou, Paraskevi, Likic, Robert, Sanz, Emilio J., Christiaens, Thierry, Costa, João N., Maciulaitis, Romaldas, Dima, Lorena, Coleman, Jamie, Tichelaar, Jelle, van Agtmael, Michiel A., Atanasova, Ivanka, Ganeva, Maria, Gatchev, Emil, Kostadinova, I.I., Matanovic, S. Mimica, Vitezic, D., Wozniak, Greta, Kmonickova, E., Urbanek, Karel, Damkier, P., Huupponen, R. K., Auffret, Marine, Bejan-Angoulvant, T., Chouchana, Laurent, Cracowski, Jean-Luc, Drici, M. D., Faillie, J. L., Geniaux, Hélène, Molimard, M., Orlikowski, D., Palin, Karine, Pers, Y-M, Picard, Nicolas, Simon, N., Toussirot, E., Boger, R. H., Cascorbi, I., Mueller, S. C., Regenthal, R., Schwab, M., Schwaninger, M. S., Thuermann, P. A., Wojnowski, L., Kouvelas, D., Riba, P., Kerins, David M., Williams, David J., Cosentino, M., De Ponti, Fabrizio, Filippelli, Amelia, Leone, R., Locatelli, Vittorio, Jansone, Baiba, Gulbinovic, Romaldas, Mifsud, Janet, Braszko, Jan J., Kocic, I., Breitenfeld, Luiza, Castelo-Branco, M., Conea, Simona, Magyar, Ioan, Bevc, S., Krzan, Mojca, Bernal, M. L., Capellà, D., Carcas, A., De Abajo, F. J., Lopez-Rico, M., Lucena, M. I., Pontes, C., Sanz, E. J., Böttiger, Y., Le Grevès, Madeleine, de Waard-Siebinga, I., Janssen, Ben J. A., Knol, Wilma, Pandit, Rahul, van Rosse, F., Dent, G., Ferro, Albert, Hitchings, A. W., Kapil, V., Linton, K. D., Loke, Y. K., Okorie, Michael, Plumb, Richard David, Pontefract, Sarah, Ranmuthu, S., Sampson, A. P., Thanacoody, H. K. R., Whitfield, Jonathan P., Wilson, Kurt, Bakkum M.J., Richir M.C., Papaioannidou P., Likic R., Sanz E.J., Christiaens T., Costa J.N., Maciulaitis R., Dima L., Coleman J., Tichelaar J., van Agtmael M.A., Atanasova I., Ganeva M., Gatchev E., Kostadinova I.I., Matanovic S.M., Vitezic D., Wozniak G., Kmonickova E., Urbanek K., Damkier P., Huupponen R.K., Auffret M., Bejan-Angoulvant T., Chouchana L., Cracowski J.-L., Drici M.D., Faillie J.L., Geniaux H., Molimard M., Orlikowski D., Palin K., Pers Y.-M., Picard N., Simon N., Toussirot E., Boger R.H., Cascorbi I., Mueller S.C., Regenthal R., Schwab M., Schwaninger M.S., Thuermann P.A., Wojnowski L., Kouvelas D., Riba P., Kerins D.M., Williams D.J., Cosentino M., De Ponti F., Filippelli A., Leone R., Locatelli V., Jansone B., Gulbinovic R., Mifsud J., Braszko J.J., Kocic I., Breitenfeld L., Castelo-Branco M., Conea S., Magyar I., Bevc S., Krzan M., Bernal M.L., Capella D., Carcas A., De Abajo F.J., Lopez-Rico M., Lucena M.I., Pontes C., Bottiger Y., Le Greves M., de Waard-Siebinga I., Janssen B.J.A., Knol W., Pandit R., van Rosse F., Dent G., Ferro A., Hitchings A.W., Kapil V., Linton K.D., Loke Y.K., Okorie M., Plumb R.D., Pontefract S., Ranmuthu S., Sampson A.P., Thanacoody H.K.R., Whitfield J.P., Wilson K., Internal medicine, Other Research, CCA - Cancer Treatment and quality of life, Bakkum, M, Richir, M, Papaioannidou, P, Likic, R, Sanz, E, Christiaens, T, Costa, J, Mačiulaitis, R, Dima, L, Coleman, J, Tichelaar, J, van Agtmael, M, and Locatelli, V
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Medical education ,Open platform ,Quality management ,Pharmacoepidemiology and Prescription ,Teaching Materials ,media_common.quotation_subject ,Language barrier ,030226 pharmacology & pharmacy ,Open educational resources ,law.invention ,03 medical and health sciences ,0302 clinical medicine ,law ,Political science ,Copyright ,ComputingMilieux_COMPUTERSANDEDUCATION ,Humans ,Pharmacology (medical) ,Quality (business) ,Cooperative Behavior ,Adaptation (computer science) ,Schools, Medical ,media_common ,Pharmacology ,Clinical pharmacology ,05 social sciences ,Open educational resource ,050301 education ,General Medicine ,Quality Improvement ,Clinical pharmacology and therapeutic ,Europe ,Digital education ,Educational resources ,Pharmacology, Clinical ,clinical pharmacology and therapeutics ,digital education ,medical education ,open educational resources ,0503 education ,Clinical pharmacology and therapeutics ,Human - Abstract
Purpose Sharing and developing digital educational resources and open educational resources has been proposed as a way to harmonize and improve clinical pharmacology and therapeutics (CPT) education in European medical schools. Previous research, however, has shown that there are barriers to the adoption and implementation of open educational resources. The aim of this study was to determine perceived opportunities and barriers to the use and creation of open educational resources among European CPT teachers and possible solutions for these barriers. Methods CPT teachers of British and EU medical schools completed an online survey. Opportunities and challenges were identified by thematic analyses and subsequently discussed in an international consensus meeting. Results Data from 99 CPT teachers from 95 medical schools were analysed. Thirty teachers (30.3%) shared or collaboratively produced digital educational resources. All teachers foresaw opportunities in the more active use of open educational resources, including improving the quality of their teaching. The challenges reported were language barriers, local differences, lack of time, technological issues, difficulties with quality management, and copyright restrictions. Practical solutions for these challenges were discussed and include a peer review system, clear indexing, and use of copyright licenses that permit adaptation of resources. Conclusion Key challenges to making greater use of CPT open educational resources are a limited applicability of such resources due to language and local differences and quality concerns. These challenges may be resolved by relatively simple measures, such as allowing adaptation and translation of resources and a peer review system.
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- 2021
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10. Harmonizing and improving European education in prescribing: An overview of digital educational resources used in clinical pharmacology and therapeutics
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Bakkum, Michiel J., Tichelaar, Jelle, Papaioannidou, Paraskevi, Likic, Robert, Sanz Alvarez, Emilio J., Christiaens, Thierry, Costa, João N., Mačiulaitis, Romaldas, Dima, Lorena, Coleman, Jamie, Richir, Milan C., Agtmael, Michiel A., Atanasova, Ivanka, Ganeva, Maria, Gatchev, Emil, Kostadinova, I. I., Mimica Matanovic, S., Vitezic, D, Greta, Wozniak, Kmonickova, E., Karel, Urbanek, Damkier, P., Huupponen, R. K., Auffret, Marine, Bejan‐ Angoulvant, T., Laurent, Chouchana, Jean‐Luc, Cracowski, Drici, M. D., Faillie, J. L., Hélène, Geniaux, Molimard, M., Orlikowski, D., Palin, Karine, Pers, Y.‐M., Picard, Nicolas, Simon, N., Toussirot, E., Boger, R. H., Cascorbi, I., Mueller, S. C., Regenthal, R., Schwab, M., Schwaninger, M. S., Thuermann, P. A., Wojnowski, L., Kouvelas, D., Riba, P., Kerins, David M., Williams, David J., Cosentino, M., De Ponti, Fabrizio, Filippelli, Amelia, Leone, R., Locatelli, Vittorio, Jansone, Baiba, Gulbinovic, Romaldas, Mifsud, Janet, Braszko Jan, J., Kocic, I., Luiza, Breitenfeld, Castelo‐Branco, M., Simona, Conea, Ioan, Magyar, Bevc, S., Mojca, Krzan, Bernal, M. L., Capellà, D., Carcas, A., De Abajo, F. J., Lopez‐Rico, M., Lucena, M. I., Pontes, C., Sanz, E. J., Böttiger, Y., Le Grevès, Madeleine, Waard‐Siebinga, I., Janssen Ben, J. A., Wilma, Knol, Rahul, Pandit, Rosse, F., Dent, G., Albert, Ferro, Hitchings, A. W., Kapil, V., Linton, K. D., Loke, Y. K., Michael, Okorie, David, Plumb Richard, Pontefract, Sarah, Ranmuthu, S., Sampson, A. P., Thanacoody, H. K. R., Whitfield Jonathan, P., Wilson, Kurt, for the Education Working Group of the European Association for Clinical Pharmacology and Therapeutics (EACPT) and its affiliated Network of Teachers in Pharmacotherapy (NOTIP), Bakkum, M, Tichelaar, J, Papaioannidou, P, Likic, R, Sanz Alvarez, E, Christiaens, T, Costa, J, Mačiulaitis, R, Dima, L, Coleman, J, Richir, M, van Agtmael, M, Locatelli, V, Internal medicine, Other Research, Bakkum M.J., Tichelaar J., Papaioannidou P., Likic R., Sanz Alvarez E.J., Christiaens T., Costa J.N., Maciulaitis R., Dima L., Coleman J., Richir M.C., van Agtmael M.A., Atanasova I., Ganeva M., Gatchev E., Kostadinova I.I., Mimica Matanovic S., Vitezic D., Greta W., Kmonickova E., Karel U., Damkier P., Huupponen R.K., Auffret M., Bejan-Angoulvant T., Laurent C., Jean-Luc C., Drici M.D., Faillie J.L., Helene G., Molimard M., Orlikowski D., Palin K., Pers Y.-M., Picard N., Simon N., Toussirot E., Boger R.H., Cascorbi I., Mueller S.C., Regenthal R., Schwab M., Schwaninger M.S., Thuermann P.A., Wojnowski L., Kouvelas D., Riba P., Kerins D.M., Williams D.J., Cosentino M., De Ponti F., Filippelli A., Leone R., Locatelli V., Jansone B., Gulbinovic R., Mifsud J., Braszko Jan J., Kocic I., Luiza B., Castelo-Branco M., Simona C., Ioan M., Bevc S., Mojca K., Bernal M.L., Capella D., Carcas A., De Abajo F.J., Lopez-Rico M., Lucena M.I., Pontes C., Bottiger Y., Le Greves M., de Waard-Siebinga I., Janssen Ben J.A., Wilma K., Rahul P., van Rosse F., Dent G., Albert F., Hitchings A.W., Kapil V., Linton K.D., Loke Y.K., Michael O., David P.R., Pontefract S., Ranmuthu S., Sampson A.P., Thanacoody H.K.R., Whitfield Jonathan P., and Wilson K.
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Computer-Assisted Instruction ,Harmonization ,030226 pharmacology & pharmacy ,law.invention ,open educational resource ,03 medical and health sciences ,0302 clinical medicine ,Medicaments -- Prescripció ,law ,clinical pharmacology and therapeutic ,Humans ,Learning ,Pharmacology (medical) ,Narrative ,030212 general & internal medicine ,Curriculum ,Schools, Medical ,Cross-Sectional Studie ,Pharmacology ,education ,Medical education ,Prescribing ,clinical pharmacology and therapeutics ,digital ,open educational resources ,Clinical pharmacology ,Drugs -- Prescribing ,Principal (computer security) ,Open educational resources ,Variety (cybernetics) ,Cross-Sectional Studies ,Pharmacology, Clinical ,Psychology ,Human - Abstract
CONTRIBUTORS IN THE NETWORK OF TEACHERS IN PHARMACOTHERAPY (NOTIP) (ALPHABETIZED BY COUNTRY): Atanasova, Ivanka (Sofia University St. Kliment Ohridski, Sofia, Bulgaria); Ganeva, Maria (Trakia University, Stara Zagora, Bulgaria); Gatchev, Emil (Medical University of Sofia, Sofia, Bulgaria); Kostadinova, II (Medical University Plovdiv, Plovdiv, Bulgaria); Mimica Matanovic, S (University of Osijek, Osijek, Croatia); Vitezic, D (University of Rijeka Medical School, Rijeka, Croatia); Wozniak, Greta (University of Cyprus, Nicosia, Cyprus); Kmonickova, E (Charles University, Pilsen, Czech Republic); Urbanek, Karel (Palacky University, Olomouc, Czech Republic); Damkier, P (University of Southern Denmark, Odense, Denmark); Huupponen, RK (University of Turku, Turku, Finland); Auffret, Marine (Hospices civils de Lyon, Lyon, France); Bejan-Angoulvant, T (Université de Tours, Tours, France); Chouchana, Laurent (Hospital Cochin, Paris, France); Cracowski, Jean-Luc (University Grenoble Alpes, La Tronche, France); Drici, MD (University of Nice Côte d'Azur, Nice, France); Faillie, JL (CHU Montpellier, Montpellier, France); Geniaux, Hélène (CHU de Limoges, Limoges, France); Molimard, M (Université de Bordeaux, Bordeaux, France); Orlikowski, D (Versailles Saint-Quentin-en-Yvelines University, Versailles, France); Palin, Karine (University of Bordeaux, Bordeaux, France); Pers, Y-M (CHU Montpellier, Montpellier, France); Picard, Nicolas (CHU de Limoges, Limoges, France); Simon, N (Aix-Marseille University, Marseille, France); Toussirot, E (CHU de Besancon, Besancon, France); Boger, RH (University Medical Center Hamburg-Eppendorf, Hamburg, Germany); Cascorbi, I (University of Kiel, Kiel, Germany); Mueller, SC (University Medicine Rostock, Rostock, Germany); Regenthal, R (University of Leipzig, Leipzig, Germany); Schwab, M (Eberhard Karl University of Tübingen, Tübingen, Germany); Schwaninger, MS (University of Luebeck, Luebeck, Germany); Thuermann, PA (University Witten/Herdecke, Witten, Germany); Wojnowski, L (University Medical Center Mainz, Mainz, Germany); Kouvelas, D (Aristotle University of Thessaloniki, Thessaloniki, Greece); Riba, P (Semmelweis University, Budapest, Hungary); Kerins, David M (University College, Cork, Ireland); Williams, David J (Royal College of Surgeons in Ireland, Dublin, Ireland); Cosentino, M (University of Insubria, Varese, Italy); De Ponti, Fabrizio (University of Bologna, Bologna, Italy); Filippelli, Amelia (University of Salerno, Baronissi, Italy); Leone, R (University of Verona, Verona, Italy); Locatelli, Vittorio (University of Milano - Bicocca, Monza, Italy); Jansone, Baiba (University of Latvia, Riga, Latvia); Gulbinovic, Romaldas (Vilnius University, Vilnius, Lithuania); Mifsud, Janet (University of Malta, Msida, Malta); Braszko, Jan J (Medical University of Bialystok, Bialystok, Poland); kocic, I (Medical University of Gdansk, Gdansk, Poland); Breitenfeld, Luiza (Beira Interior University, Covilh~a, Portugal); Castelo-Branco, M (University of Beira Interior, Covilh~a, Portugal); Conea, Simona (“Vasile Goldis” Western University of Arad, Arad, Romania); Magyar, Ioan (University of Oradea, Oradea, Romania); Bevc, S (University of Maribor, Maribor, Slovenia); Krzan, Mojca (University of Ljubljana, Ljubljana, Slovenia); Bernal, ML (University of Zaragoza, Zaragoza, Spain); Capellà, D (University of Girona, Girona, Spain); Carcas, A (Universidad Autónoma de Madrid, University of Maribor, Spain); De Abajo, FJ (University of Alcalá, Alcalá de Henares, Spain); Lopez-Rico, M (University of Salamanca, Salamanca, Spain); Lucena, MI (University of Malaga, Malaga, Spain); Pontes, C (Universitat Autonoma de Barcelona, Sabadell, Spain); Sanz, EJ (Universidad de La Laguna, La Laguna, Spain); Böttiger, Y (Linköping University, Linköping, Sweden); Le Grevès, Madeleine (Uppsala University, Uppsala, Sweden); de Waard-Siebinga, I (University Medical Center Groningen, Groningen, The Netherlands); Janssen, Ben JA (Maastricht University, Maastricht, The Netherlands); Knol, Wilma (University Medical Center Utrecht, Utrecht, The Netherlands); Pandit, Rahul (University Medical Center Utrecht, Utrecht, The Netherlands); van Rosse, F (Erasmus Medical Center, Rotterdam, The Netherlands); Dent, G (Keele University, Keele, United Kingdom); Ferro, Albert (King's College London, London, United Kingdom); Hitchings, AW (St George's, University of London, London, United Kingdom); Kapil, V (Queen Mary University London, London, United Kingdom); Linton, KD (University of Sheffield, Sheffield, United Kingdom); Loke, YK (University of East Anglia, Norwich, United Kingdom); Okorie, Michael (Brighton and Sussex Medical School, Brighton, United Kingdom); Plumb, Richard David (Queen's University Belfast, Belfast, United Kingdom); Pontefract, Sarah (University of Birmingham, Birmingham, United Kingdom); Ranmuthu, S (Queen Mary University London, London, United Kingdom); Sampson, AP (University of Southampton, Southampton, United Kingdom); Thanacoody, HKR (Newcastle University, Newcastle upon Tyne, United Kingdom); Whitfield, Jonathan P (University of Aberdeen, Aberdeen, United Kingdom); Wilson, Kurt (University of Manchester, Manchester, United Kingdom) Improvement and harmonization of European clinical pharmacology and therapeutics (CPT) education is urgently required. Because digital educational resources can be easily shared, adapted to local situations and re‐used widely across a variety of educational systems, they may be ideally suited for this purpose Methods With a cross‐sectional survey among principal CPT teachers in 279 out of 304 European medical schools, an overview and classification of digital resources was compiled. Results Teachers from 95 (34%) medical schools in 26 of 28 EU countries responded, 66 (70%) of whom used digital educational resources in their CPT curriculum. A total of 89 of such resources were described in detail, including e‐learning (24%), simulators to teach pharmacokinetics and/or pharmacodynamics (10%), virtual patients (8%), and serious games (5%). Together, these resources covered 235 knowledge‐based learning objectives, 88 skills, and 13 attitudes. Only one third (27) of the resources were in‐part or totally free and only two were licensed open educational resources (free to use, distribute and adapt). A narrative overview of the largest, free and most novel resources is given. Conclusion Digital educational resources, ranging from e‐learning to virtual patients and games, are widely used for CPT education in EU medical schools. Learning objectives are based largely on knowledge rather than skills or attitudes. This may be improved by including more real‐life clinical case scenarios. Moreover, the majority of resources are neither free nor open. Therefore, with a view to harmonizing international CPT education, more needs to be learned about why CPT teachers are not currently sharing their educational materials.
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- 2020
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11. Cystatin C-based equations for estimation of GFR in patients with chronic kidney disease: GFR estimated from serum cystatin – reply
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Bevc, S., Hojs, R., and Ekart, R.
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- 2011
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12. Kidney function estimating equations in patients with chronic kidney disease
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Hojs, R., Bevc, S., Ekart, R., Gorenjak, M., and Puklavec, L.
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- 2011
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13. Abdominal examination trainer as a successful tool to enhance clinical skills learning
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Kozinc, S, Kosi, S, Kostomaj, U, Mihevc, M, Petreski, T, and Bevc, S
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ddc: 610 ,610 Medical sciences ,Medicine - Abstract
Background: Simulation-based learning (SBL) has become an important part of medical education. SBL is defined as an artificial representation of a real-world process to achieve educational goals through experimental learning, feedback, and reflection. Based on similarity to real-life situations, simulators[for full text, please go to the a.m. URL], 14. Internationales SkillsLab Symposium 2019
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- 2019
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14. SERUM ZINC VALUES AND ANKLE BRACHIAL INDEX IN HEMODIALYSIS PATIENTS
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Knehtl, M., primary, Piko, N., additional, Jakopin, E., additional, Bevc, S., additional, Ekart, R., additional, and Hojs, R., additional
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- 2018
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15. The evolution of clinical skills peer teaching at the Faculty of Medicine, University of Maribor
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Mihevc, M, Serdinsek, T, Bevc, S, Mihevc, M, Serdinsek, T, and Bevc, S
- Published
- 2017
16. Automatic identification of variables in epidemiological datasets using logic regression
- Author
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Lorenz, M.W. (Matthias W.), Abdi, N.A. (Negin Ashtiani), Scheckenbach, F. (Frank), Pflug, A. (Anja), Bulbul, A. (Alpaslan), Catapano, A.L. (Alberico), Agewall, S. (Stefan), Ezhov, M. (Marat), Bots, M.L. (Michiel), Kiechl, S. (Stefan), Orth, A. (Andreas), Norata, G.D. (Giuseppe), Empana, J.P. (Jean Philippe), Lin, H.-J. (Hung-Ju), McLachlan, S. (Stela), Bokemark, L. (Lena), Ronkainen, K. (Kimmo), Amato, M. (Mauro), Schminke, U. (Ulf), Srinivasan, S.R. (Sathanur R.), Lind, L. (Lars), Kato, A. (Akihiko), Dimitriadis, C. (Chrystosomos), Przewlocki, T. (Tadeusz), Okazaki, S. (Shuhei), Stehouwer, C.D. (Coen), Lazarevic, T. (Tatjana), Willeit, J. (Johann), Yanez, D.N. (David N.), Steinmetz, H. (helmuth), Sander, D. (Dirk), Poppert, H. (Holger), Desvarieux, M. (Moise), Ikram, M.A. (Arfan), Bevc, S. (Sebastjan), Staub, D. (Daniel), Sirtori, C.R. (Cesare R.), Iglseder, B. (Bernhard), Engström, G., Tripepi, G.L. (Giovanni), Beloqui, O. (Oscar), Lee, M.-S. (Moo-Sik), Friera, A. (Alfonsa), Xie, W. (Wuxiang), Grigore, L. (Liliana), Plichart, M. (Matthieu), Su, T.-C. (Ta-Chen), Robertson, C.M. (Christine M), Schmidt, C. (Caroline), Tuomainen, T.-P. (Tomi-Pekka), Veglia, F. (Fabrizio), Völzke, H. (Henry), Nijpels, M.G.A.A.M. (Giel), Jovanovic, A. (Aleksandar), Sacco, R.L. (Ralph L.), Franco, O.H. (Oscar), Hojs, R. (Radovan), Uthoff, H. (Heiko), Hedblad, B. (Bo), Park, H.W. (Hyun Woong), Suarez, C. (Carmen), Zhao, D. (Dong), Catapano, A. (Alberico), Ducimetiere, P. (P.), Chien, K.-L. (Kuo-Liong), Price, J.F. (Jackie F.), Bergstrom, G. (Goran), Kauhanen, J. (Jussi), Tremoli, E. (Elena), Dörr, M. (Marcus), Berenson, G. (Gerald), Papagianni, A. (Aikaterini), Kablak-Ziembicka, A. (Anna), Kitagawa, K. (Kazuo), Dekker, J.M. (Jacqueline), Stolic, R. (Radojica), Polak, J.F. (Joseph F.), Sitzer, M. (Matthias), Bickel, H. (Horst), Rundek, T. (Tatjana), Hofman, A. (Albert), Ekart, R. (Robert), Frauchiger, B. (Beat), Castelnuovo, S. (Samuela), Rosvall, M. (Maria), Zoccali, C. (Carmine), Landecho, M.F. (Manuel F.), Bae, J.-H. (Jang-Ho), Gabriel, R. (Rafael), Liu, J. (Jing), Baldassarre, D. (Damiano), Kavousi, M. (Maryam), Lorenz, M.W. (Matthias W.), Abdi, N.A. (Negin Ashtiani), Scheckenbach, F. (Frank), Pflug, A. (Anja), Bulbul, A. (Alpaslan), Catapano, A.L. (Alberico), Agewall, S. (Stefan), Ezhov, M. (Marat), Bots, M.L. (Michiel), Kiechl, S. (Stefan), Orth, A. (Andreas), Norata, G.D. (Giuseppe), Empana, J.P. (Jean Philippe), Lin, H.-J. (Hung-Ju), McLachlan, S. (Stela), Bokemark, L. (Lena), Ronkainen, K. (Kimmo), Amato, M. (Mauro), Schminke, U. (Ulf), Srinivasan, S.R. (Sathanur R.), Lind, L. (Lars), Kato, A. (Akihiko), Dimitriadis, C. (Chrystosomos), Przewlocki, T. (Tadeusz), Okazaki, S. (Shuhei), Stehouwer, C.D. (Coen), Lazarevic, T. (Tatjana), Willeit, J. (Johann), Yanez, D.N. (David N.), Steinmetz, H. (helmuth), Sander, D. (Dirk), Poppert, H. (Holger), Desvarieux, M. (Moise), Ikram, M.A. (Arfan), Bevc, S. (Sebastjan), Staub, D. (Daniel), Sirtori, C.R. (Cesare R.), Iglseder, B. (Bernhard), Engström, G., Tripepi, G.L. (Giovanni), Beloqui, O. (Oscar), Lee, M.-S. (Moo-Sik), Friera, A. (Alfonsa), Xie, W. (Wuxiang), Grigore, L. (Liliana), Plichart, M. (Matthieu), Su, T.-C. (Ta-Chen), Robertson, C.M. (Christine M), Schmidt, C. (Caroline), Tuomainen, T.-P. (Tomi-Pekka), Veglia, F. (Fabrizio), Völzke, H. (Henry), Nijpels, M.G.A.A.M. (Giel), Jovanovic, A. (Aleksandar), Sacco, R.L. (Ralph L.), Franco, O.H. (Oscar), Hojs, R. (Radovan), Uthoff, H. (Heiko), Hedblad, B. (Bo), Park, H.W. (Hyun Woong), Suarez, C. (Carmen), Zhao, D. (Dong), Catapano, A. (Alberico), Ducimetiere, P. (P.), Chien, K.-L. (Kuo-Liong), Price, J.F. (Jackie F.), Bergstrom, G. (Goran), Kauhanen, J. (Jussi), Tremoli, E. (Elena), Dörr, M. (Marcus), Berenson, G. (Gerald), Papagianni, A. (Aikaterini), Kablak-Ziembicka, A. (Anna), Kitagawa, K. (Kazuo), Dekker, J.M. (Jacqueline), Stolic, R. (Radojica), Polak, J.F. (Joseph F.), Sitzer, M. (Matthias), Bickel, H. (Horst), Rundek, T. (Tatjana), Hofman, A. (Albert), Ekart, R. (Robert), Frauchiger, B. (Beat), Castelnuovo, S. (Samuela), Rosvall, M. (Maria), Zoccali, C. (Carmine), Landecho, M.F. (Manuel F.), Bae, J.-H. (Jang-Ho), Gabriel, R. (Rafael), Liu, J. (Jing), Baldassarre, D. (Damiano), and Kavousi, M. (Maryam)
- Abstract
Background: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable. Methods: For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated. Results: In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34%, and a negative predictive value (NPV) of 95%. In the validation sample, PPV was 33%, whereas NPV remained at 94%. In the construction sample, PPV was 50% or less in 63% of all variables, in the validation sample in 71% of all variables. Conclusions: We demonstrated that the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies.
- Published
- 2017
- Full Text
- View/download PDF
17. The effect of video-assisted learning in addition to traditional peer teaching of clinical examination
- Author
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Pulko, N, Luk, LL, Masnik, K, Petreski, T, Serdinsek, T, Bevc, S, Pulko, N, Luk, LL, Masnik, K, Petreski, T, Serdinsek, T, and Bevc, S
- Published
- 2017
18. Automatic identification of variables in epidemiological datasets using logic regression
- Author
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Lorenz, M., Abdi, N., Scheckenbach, F., Pflug, A., Bülbül, A., Catapano, A., Agewall, S., Ezhov, M., Bots, M., Kiechl, S., Orth, A., Norata, Giuseppe, Empana, J., Lin, H., McLachlan, S., Bokemark, L., Ronkainen, K., Amato, M., Schminke, U., Srinivasan, S., Lind, L., Kato, A., Dimitriadis, C., Przewlocki, T., Okazaki, S., Stehouwer, C., Lazarevic, T., Willeit, P., Yanez, D., Steinmetz, H., Sander, D., Poppert, H., Desvarieux, M., Ikram, M., Bevc, S., Staub, D., Sirtori, C., Iglseder, B., Engström, G., Tripepi, G., Beloqui, O., Lee, M., Friera, A., Xie, W., Grigore, L., Plichart, M., Su, T., Robertson, C., Schmidt, C., Tuomainen, T., Veglia, F., Völzke, H., Nijpels, G., Jovanovic, A., Willeit, J., Sacco, R., Franco, O., Hojs, R., Uthoff, H., Hedblad, B., Park, H., Suarez, C., Zhao, D., Ducimetiere, P., Chien, K., Price, J., Bergström, G., Kauhanen, J., Tremoli, E., Dörr, M., Berenson, G., Papagianni, A., Kablak-Ziembicka, A., Kitagawa, K., Dekker, J., Stolic, R., Polak, J., Sitzer, M., Bickel, H., Rundek, T., Hofman, A., Ekart, R., Frauchiger, B., Castelnuovo, S., Rosvall, M., Zoccali, C., Landecho, M., Bae, J., Gabriel, R., Liu, J., Baldassarre, D., Kavousi, M., Lorenz, M., Abdi, N., Scheckenbach, F., Pflug, A., Bülbül, A., Catapano, A., Agewall, S., Ezhov, M., Bots, M., Kiechl, S., Orth, A., Norata, Giuseppe, Empana, J., Lin, H., McLachlan, S., Bokemark, L., Ronkainen, K., Amato, M., Schminke, U., Srinivasan, S., Lind, L., Kato, A., Dimitriadis, C., Przewlocki, T., Okazaki, S., Stehouwer, C., Lazarevic, T., Willeit, P., Yanez, D., Steinmetz, H., Sander, D., Poppert, H., Desvarieux, M., Ikram, M., Bevc, S., Staub, D., Sirtori, C., Iglseder, B., Engström, G., Tripepi, G., Beloqui, O., Lee, M., Friera, A., Xie, W., Grigore, L., Plichart, M., Su, T., Robertson, C., Schmidt, C., Tuomainen, T., Veglia, F., Völzke, H., Nijpels, G., Jovanovic, A., Willeit, J., Sacco, R., Franco, O., Hojs, R., Uthoff, H., Hedblad, B., Park, H., Suarez, C., Zhao, D., Ducimetiere, P., Chien, K., Price, J., Bergström, G., Kauhanen, J., Tremoli, E., Dörr, M., Berenson, G., Papagianni, A., Kablak-Ziembicka, A., Kitagawa, K., Dekker, J., Stolic, R., Polak, J., Sitzer, M., Bickel, H., Rundek, T., Hofman, A., Ekart, R., Frauchiger, B., Castelnuovo, S., Rosvall, M., Zoccali, C., Landecho, M., Bae, J., Gabriel, R., Liu, J., Baldassarre, D., and Kavousi, M.
- Abstract
Background: For an individual participant data (IPD) meta-analysis, multiple datasets must be transformed in a consistent format, e.g. using uniform variable names. When large numbers of datasets have to be processed, this can be a time-consuming and error-prone task. Automated or semi-automated identification of variables can help to reduce the workload and improve the data quality. For semi-automation high sensitivity in the recognition of matching variables is particularly important, because it allows creating software which for a target variable presents a choice of source variables, from which a user can choose the matching one, with only low risk of having missed a correct source variable. Methods: For each variable in a set of target variables, a number of simple rules were manually created. With logic regression, an optimal Boolean combination of these rules was searched for every target variable, using a random subset of a large database of epidemiological and clinical cohort data (construction subset). In a second subset of this database (validation subset), this optimal combination rules were validated. Results: In the construction sample, 41 target variables were allocated on average with a positive predictive value (PPV) of 34%, and a negative predictive value (NPV) of 95%. In the validation sample, PPV was 33%, whereas NPV remained at 94%. In the construction sample, PPV was 50% or less in 63% of all variables, in the validation sample in 71% of all variables. Conclusions: We demonstrated that the application of logic regression in a complex data management task in large epidemiological IPD meta-analyses is feasible. However, the performance of the algorithm is poor, which may require backup strategies.
- Published
- 2017
19. Bilateral nephrectomy for uncontrolled hypertension in hemodialysis patient: A forgotten option?
- Author
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Knehtl, M., Bevc, S., Hojs, R., Hlebič, G., and Ekart, R.
- Published
- 2014
- Full Text
- View/download PDF
20. Plasma exchange treatment for acute hyperlipidemic pancreatitis with falsely low levels of serum triglycerides – a case report
- Author
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Markota, A., Knehtl, M., Sinkovic, A., Ekart, R., Hojs, R., and Bevc, S.
- Published
- 2014
- Full Text
- View/download PDF
21. [PP.13.05] THE IMPACT OF 6-MONTH PARICALCITOL TREATMENT ON CAROTID-FEMORAL PULSE WAVE VELOCITY IN NON-DIALYSIS CKD PATIENTS
- Author
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Ekart, R., primary, Hojs, N., additional, Bevc, S., additional, Dvorsak, B., additional, and Hojs, R., additional
- Published
- 2016
- Full Text
- View/download PDF
22. PP.11.03
- Author
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Ekart, R., primary, Volgemut, Z., additional, Bevc, S., additional, Stropnik-Galuf, T., additional, and Hojs, R., additional
- Published
- 2015
- Full Text
- View/download PDF
23. Serum cystatin C as an endogenous marker of renal function in the elderly
- Author
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Radovan Hojs, Bevc S, Antolinc B, Gorenjak M, and Puklavec L
- Subjects
Male ,Creatinine ,Humans ,Female ,Cystatin C ,Cystatins ,Biomarkers ,Chromium Radioisotopes ,Edetic Acid ,Aged ,Glomerular Filtration Rate - Abstract
The glomerular filtration rate (GFR) is the main indicator of kidney function. In clinical practice the GFR is often estimated from serum creatinine. In the elderly, serum creatinine is notoriously unreliable as an estimator of GFR. Recently, serum cystatin C has been proposed as a new endogenous marker of glomerular filtration rate. A total of 144 patients, aged more than 60 years (mean age 70.4 years), who had undergone 51CrEDTA clearance, were enrolled in our study. In each patient serum creatinine and serum cystatin C were determined. The reciprocal of serum creatinine, the reciprocal of serum cystatin C and creatinine clearance (from Cockcroft and Gault formula) were calculated. Serum cystatin C was measured with the particle-enhanced immunonephelometric method. The mean 51CrEDTA clearance was 34.5+/-25.55 ml/min/1.73 m2, the mean serum creatinine was 312+/-210 micromol/l and the mean serum cystatin C 3.15 mg/l+/-1.62 mg/l. We found a significant correlation between 51CrEDTA clearance and serum creatinine, serum cystatin C, the reciprocal of serum creatinine and the reciprocal of serum cystatin C as well as with creatinine clearance. In comparison of the correlation coefficients we found that the correlation between 51CrEDTA clearance and serum cystatin C was significantly better than that with serum creatinine (p0.05). The correlation between 51CrEDTA clearance and the reciprocal of serum cystatin C was superior to that with the reciprocal of serum creatinine (p0.003) and calculated creatinine clearance (p0.003). Our results indicate that serum cystatin C is a more reliable marker of GFR in the elderly than serum creatinine or creatinine clearance.
- Published
- 2005
24. CKD LAB METHODS, PROGRESSION & RISK FACTORS 1
- Author
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Heisterkamp, M., primary, Titze, S., additional, Lorenzen, J., additional, Eckardt, K.-U., additional, Koettgen, A., additional, Kielstein, J. T., additional, Bouquegneau, A., additional, Vidal-Petiot, E., additional, Vrtovsnik, F., additional, Cavalier, E., additional, Krzesinski, J. M., additional, Flamant, M., additional, Delanaye, P., additional, Anguiano, L., additional, Riera, M., additional, Pascual, J., additional, Barrios, C., additional, Betriu, A., additional, Valdivielso, J. M., additional, Fernandez, E., additional, Soler, M. J., additional, Denys, M.-A., additional, Viaene, A., additional, Goessaert, A.-S., additional, Delanghe, J., additional, Everaert, K., additional, Kim, Y. S., additional, Choi, M. J., additional, Deok, J. Y., additional, Kim, S. G., additional, Bevc, S., additional, Hojs, N., additional, Hojs, R., additional, Ekart, R., additional, Gorenjak, M., additional, Puklavec, L., additional, Piskunowicz, M., additional, Hofmann, L., additional, Zurcher, E., additional, Bassi, I., additional, Zweiacker, C., additional, Stuber, M., additional, Narkiewicz, K., additional, Vogt, B., additional, Burnier, M., additional, Pruijm, M., additional, Rusu, E., additional, Zilisteanu, D., additional, Atasie, T., additional, Circiumaru, A., additional, Carstea, F., additional, Ecobici, M., additional, Rosca, M., additional, Tanase, C., additional, Mihai, S., additional, Voiculescu, M., additional, Jeon, Y. D., additional, Polenakovic, M., additional, Pop-Jordanova, N., additional, Hung, S.-C., additional, Tarng, D.-C., additional, Tuta, L., additional, Stanigut, A., additional, Mesiano, P., additional, Rollino, C., additional, Ferro, M., additional, Beltrame, G., additional, Massara, C., additional, Quattrocchio, G., additional, Borca, M., additional, Bazzan, M., additional, Roccatello, D., additional, Maksudova, A., additional, Urasaeva, L. I., additional, Khalfina, T. N., additional, Tekce, H., additional, Kin Tekce, B., additional, Aktas, G., additional, Alcelik, A., additional, Sengul, E., additional, Lindic, J., additional, Purg, D., additional, Skamen, J., additional, Krsnik, M., additional, Skoberne, A., additional, Pajek, J., additional, Kveder, R., additional, Bren, A., additional, Kovac, D., additional, Delgado, G., additional, Drechsler, C., additional, Wanner, C., additional, Blouin, K., additional, Pilz, S., additional, Tomaschitz, A., additional, Kleber, M. E., additional, Willmes, C., additional, Krane, V., additional, Marz, W., additional, Ritz, E., additional, Van Gilst, W. H., additional, Van Der Harst, P., additional, De Boer, R. A., additional, Scholze, A., additional, Petersen, L., additional, Hocher, B., additional, Rasmussen, L. M., additional, Tepel, M., additional, De Paula, E. A., additional, Vanelli, C. P., additional, Caminhas, M. S., additional, Soares, B. C., additional, Bassoli, F. A., additional, Da Costa, D. M. N., additional, Lanna, C. M. M., additional, Galil, A. G. S., additional, Colugnati, F. A. B., additional, Costa, M. B., additional, Bastos, M. G., additional, De Paula, R. B., additional, Santoro, D., additional, Zappulla, Z., additional, Alibrandi, A., additional, Tomasello Andulajevic, M., additional, Licari, M., additional, Baldari, S., additional, Buemi, M., additional, Cernaro, V., additional, Campenni, A., additional, Pallet, N., additional, Chauvet, S., additional, Levi, C., additional, Meas-Yedid, V., additional, Beaune, P., additional, Thevet, E., additional, Karras, A., additional, Santos, S., additional, Malheiro, J., additional, Campos, A., additional, Pedroso, S., additional, Santos, J., additional, Cabrita, A., additional, Mayor, M. M., additional, Ayala, R., additional, Ramos, C., additional, Franco, S., additional, Guillen, R., additional, Kim, J. S., additional, Yang, J. W., additional, Han, B. G., additional, Choi, S. O., additional, Tudor, M.-N., additional, Navajas Martinez, M. F., additional, Vaduva, C., additional, Maria, D. T., additional, Mota, E., additional, Clari, R., additional, Mongilardi, E., additional, Vigotti, F. N., additional, Consiglio, V., additional, Scognamiglio, S., additional, Nazha, M., additional, Roggero, S., additional, Piga, A., additional, Piccoli, G., additional, Mukhopadhyay, P., additional, Patar, K., additional, Chaterjee, N., additional, and Ganguly, K., additional
- Published
- 2014
- Full Text
- View/download PDF
25. CKD LAB METHODS, PROGRESSION & RISK FACTORS 2
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Onuigbo, M., primary, Agbasi, N., additional, Wu, M. J., additional, Shu, K. H., additional, Kugler, E., additional, Cohen, E., additional, Krause, I., additional, Goldberg, E., additional, Garty, M., additional, Jansen, J., additional, De Napoli, I. E., additional, Schophuizen, C. M., additional, Wilmer, M. J., additional, Mutsaers, H. A., additional, Heuvel, L. P., additional, Grijpma, D. W., additional, Stamatialis, D., additional, Hoenderop, J. G., additional, Masereeuw, R., additional, Van Craenenbroeck, A. H., additional, Van Craenenbroeck, E. M., additional, Van Ackeren, K., additional, Vrints, C. J., additional, Hoymans, V. Y., additional, Couttenye, M. M., additional, Erkmen Uyar, M., additional, Tutal, E., additional, Bal, Z., additional, Guliyev, O., additional, Sezer, S., additional, Liu, L., additional, Wang, C., additional, Tanaka, K., additional, Kushiyama, A., additional, Sakai, K., additional, Hara, S., additional, Ubara, Y., additional, Ohashi, Y., additional, Kunugi, Y., additional, Kawazu, S., additional, Untersteller, K., additional, Seiler, S., additional, Rogacev, K. S., additional, Emrich, I. E., additional, Lennartz, C. S., additional, Fliser, D., additional, Heine, G. H., additional, Hoshino, T., additional, Ookawara, S., additional, Miyazawa, H., additional, Ueda, Y., additional, Ito, K., additional, Kaku, Y., additional, Hirai, K., additional, Mori, H., additional, Yoshida, I., additional, Kakuta, S., additional, Hayama, N., additional, Amemiya, M., additional, Okamoto, H., additional, Inoue, S., additional, Tabei, K., additional, Campos, P., additional, Dias, C., additional, Baptista, J., additional, Papoila, A. L., additional, Ortiz, A., additional, Inchaustegui, L., additional, Soto, K., additional, Moon, K. H., additional, Yang, S., additional, Lee, D.-Y., additional, Kim, H. W., additional, Kim, B., additional, Isnard Bagnis, C., additional, Guerraoui, A., additional, Zenasni, F., additional, Idier, L., additional, Chauveau, P., additional, Cerqueira, A., additional, Quelhas-Santos, J., additional, Pestana, M., additional, Choi, J.-Y., additional, Jin, D.-C., additional, Choi, Y.-J., additional, Kim, W.-Y., additional, Nam, S.-A., additional, Cha, J.-H., additional, Cernaro, V., additional, Loddo, S., additional, Lacquaniti, A., additional, Romeo, A., additional, Costantino, G., additional, Montalto, G., additional, Santoro, D., additional, Trimboli, D., additional, Ricciardi, C. A., additional, Lacava, V., additional, Buemi, M., additional, Zawada, A. M., additional, Obeid, R., additional, Geisel, J., additional, Meneses, G. C., additional, Silva Junior, G., additional, Costa, M. F. B., additional, Goncalves, H. S., additional, Daher, E. F., additional, Liborio, A. B., additional, Martins, A. M. C., additional, Ekart, R., additional, Hojs, N., additional, Bevc, S., additional, Hojs, R., additional, Lim, C. S., additional, Hwang, J. H., additional, Chin, H. J., additional, Kim, S., additional, Kim, D. K., additional, Park, J. H., additional, Shin, S. J., additional, Lee, S. H., additional, Choi, B. S., additional, Lemoine, S., additional, Panaye, M., additional, Juillard, L., additional, Dubourg, L., additional, Hadj-Aissa, A., additional, Guebre-Egziabher, F., additional, Vieira, A. P. F., additional, Couto Bem, A. X., additional, Alves, M. P., additional, Stefan, G., additional, Capusa, C., additional, Stancu, S., additional, Margarit, D., additional, Petrescu, L., additional, Nedelcu, E. D., additional, Mircescu, G., additional, Szarejko-Paradowska, A., additional, Rysz, J., additional, Hung, C.-C., additional, Chen, H.-C., additional, Ristovska, V., additional, Grcevska, L., additional, Podesta, M. A., additional, Reggiani, F., additional, Cucchiari, D., additional, Badalamenti, S., additional, Ponticelli, C., additional, Graziani, G., additional, Nouri-Majalan, N., additional, Moghadasimousavi, S., additional, Eshaghyeh, Z., additional, Greenwood, S., additional, Koufaki, P., additional, Maclaughlin, H., additional, Rush, R., additional, Hendry, B. M., additional, Macdougall, I. C., additional, Mercer, T., additional, and Cairns, H., additional
- Published
- 2014
- Full Text
- View/download PDF
26. Maintaining quality in light of increased qantity
- Author
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Zeme, K, Todorovic, T, Zdravkovic, M, Bevc, S, Zeme, K, Todorovic, T, Zdravkovic, M, and Bevc, S
- Published
- 2013
27. Microinflammation and cardiovascular mortality in hemodialysis patients
- Author
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Bevc, S., primary, Zorman, T., additional, Ekart, R., additional, and Hojs, R., additional
- Published
- 2013
- Full Text
- View/download PDF
28. Clinical Nephrology - Lab methods and other markers
- Author
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Kleophas, W., primary, Bieber, B., additional, Robinson, B., additional, Duttlinger, J., additional, Fliser, D., additional, Lonneman, G., additional, Rump, L., additional, Pisoni, R., additional, Port, F., additional, Reichel, H., additional, Daniela, R., additional, Ciocalteu, A., additional, Checherita, I. A., additional, Peride, I., additional, Spataru, D. M., additional, Niculae, A., additional, Laetitia, K., additional, Amna, K., additional, Laurence, D., additional, Aoumeur, H.-A., additional, Flamant, M., additional, Haymann, J.-P., additional, Letavernier, E., additional, Vidal-Petiot, E., additional, Boffa, J.-J., additional, Vrtovsnik, F., additional, Bianco, F., additional, Pessolano, G., additional, Carraro, M., additional, Panzetta, G. O., additional, Ebert, N., additional, Gaedeke, J., additional, Jakob, O., additional, Kuhlmann, M., additional, Martus, P., additional, Van der Giet, M., additional, Scha ner, E., additional, Khan, I., additional, Law, Y., additional, Turgutalp, K., additional, Ozhan, O., additional, Gok Oguz, E., additional, Kiykim, A., additional, Donadio, C., additional, Hatmi, Z. N., additional, Mahdavi-Mazdeh, M., additional, Morales, E., additional, Gutierrez-Millet, V., additional, Rojas-Rivera, J., additional, Huerta, A., additional, Gutierrez, E., additional, Gutierrez-Solis, E., additional, Polanco, N., additional, Caro, J., additional, Gonza z, E., additional, Praga, M., additional, Marco Mayayo, M., additional, Valdivielso, J., additional, Marti z, M., additional, Fernaez Giraez, E., additional, Obrador, G., additional, Olvera, N., additional, Ortiz de la Pe, D., additional, Gutie ez, V., additional, Villa, A., additional, Redal-Baigorri, B., additional, Sombolos, K., additional, Tsakiris, D., additional, Boletis, J., additional, Vlahakos, D., additional, Siamopoulos, K., additional, Vargiemezis, V., additional, Nikolaidis, P., additional, Iatrou, C., additional, Dafnis, E., additional, Argyropoulos, C., additional, Xynos, K., additional, Schock-Kusch, D., additional, Shulhevich, Y., additional, Geraci, S., additional, Hesser, J., additional, Stsepankou, D., additional, Neudecker, S., additional, Koenig, S., additional, Hoecklin, F., additional, Pill, J., additional, Gretz, N., additional, Schweda, F., additional, Schreiber, A., additional, Kudo, K., additional, Konta, T., additional, Choi, S. O., additional, Kim, J. S., additional, Kim, M. K., additional, Yang, J. W., additional, Han, B. G., additional, Delanaye, P., additional, Cavalier, E., additional, Masson, I., additional, Mehdi, M., additional, Nicolas, M., additional, Lambermont, B., additional, Dubois, B., additional, Damas, P., additional, Krzesinski, J.-M., additional, Morel, J., additional, Lautrette, A., additional, Christophe, M., additional, Gagneux-Brunon, A., additional, Anne, F., additional, Fre (C)ric, L., additional, Bevc, S., additional, Ekart, R., additional, Hojs, R., additional, Gorenjak, M., additional, Puklavec, L., additional, Hashimoto, N., additional, Suzuki, A., additional, Mitsumoto, K., additional, Shimizu, M., additional, Niihata, K., additional, Kawabata, A., additional, Sakaguchi, Y., additional, Hayashi, T., additional, Shoji, T., additional, Okada, N., additional, Tsubakihara, Y., additional, Hamano, T., additional, Nakano, C., additional, Fujii, N., additional, Obi, Y., additional, Mikami, S., additional, Inoue, K., additional, Matsui, I., additional, Isaka, Y., additional, Rakugi, H., additional, Edvardsson, V., additional, Siguron, B., additional, Thorsteinsdottir, M., additional, Palsson, R., additional, Matsumoto, J., additional, Miyazaki, N., additional, Murata, I., additional, Yoshida, G., additional, Morishita, K., additional, Ushikoshi, H., additional, Nishigaki, K., additional, Ogura, S., additional, Minatoguchi, S., additional, Werneke, U., additional, Ott, M., additional, Salander-Renberg, E., additional, Taylor, D., additional, Stegmayr, B., additional, Surel, S., additional, Wenzlova, M., additional, Silva Junior, G., additional, Vieira, A. P., additional, Couto Bem, A., additional, Alves, M., additional, Torres, A., additional, Meneses, G., additional, Martins, A., additional, Liborio, A., additional, Daher, E., additional, Gluhovschi, G., additional, Modilca, M., additional, Daminescu, L., additional, Gluhovschi, C., additional, Velciov, S., additional, Petrica, L., additional, Gadalean, F., additional, Balgradean, C., additional, Schmeiser, H. H., additional, Kolesnyk, M., additional, Stepanova, N., additional, Surzhko, L., additional, Stashevska, N., additional, Filiopoulos, V., additional, Hadjiyannakos, D., additional, Arvanitis, D., additional, Panagiotopoulos, K., additional, Vlassopoulos, D., additional, Kaesler, N., additional, Schettgen, T., additional, Magdeleyns, E., additional, Brandenburg, V., additional, Vermeer, C., additional, Floege, J., additional, Kr, T., additional, Randone, O., additional, Ferraresi, M., additional, Aroasio, E., additional, Depascale, A., additional, Scognamiglio, S., additional, Consiglio, V., additional, Piccoli, G. B., additional, Jensen, L. V., additional, Lizakowski, S., additional, Rutkowski, P., additional, Tylicki, L., additional, Renke, M., additional, Sulikowska, B., additional, Donderski, R., additional, Bednarski, R., additional, Heleniak, Z., additional, Przybylska, M., additional, Manitius, J., additional, Rutkowski, B., additional, Bobrova, L., additional, Kozlovskaya, N., additional, Kanayama, K., additional, Hasegawa, M., additional, Kitagawa, F., additional, Ishii, J., additional, Yuzawa, Y., additional, Tanaka, K., additional, Sakai, K., additional, Hara, S., additional, Suzuki, Y., additional, Tanaka, Y., additional, Aikawa, A., additional, Hinoshita, F., additional, Hamano, N., additional, Sasaki, E., additional, Kato, A., additional, Katsuki, T., additional, Katsuma, A., additional, Imai, E., additional, Shibata, M., additional, Tada, M., additional, Shimbo, T., additional, Kikuchi, Y., additional, Oka, S., additional, Muramatsu, T., additional, Yanagisawa, N., additional, Fukutake, K., additional, Yamamoto, Y., additional, Ajisawa, A., additional, Tsuchiya, K., additional, Nitta, K., additional, Ando, M., additional, Liang, X., additional, Wang, P., additional, Liu, Z., additional, Zhao, Z., additional, Luyckx, V., additional, Bowker, S., additional, Miekle, A., additional, Toth, E., additional, Heguilen, R., additional, Malvar, A., additional, Hermes, R., additional, Cohen, L., additional, Muguerza, G., additional, Lococo, B., additional, Bernasconi, A., additional, Loboda, O., additional, Dudar, I., additional, Krot, V., additional, Alekseeva, V., additional, Ichinose, M., additional, Sasagawa, N., additional, Toyama, K., additional, Saito, A., additional, Kayamori, Y., additional, Kang, D., additional, Kim, H. W., additional, Yoshioka, K., additional, Hara, M., additional, Ohashi, K., additional, Maksudova, A., additional, Khalfina, T., additional, Cuoghi, A., additional, Bellei, E., additional, Caiazzo, M., additional, Bergamini, S., additional, Palladino, G., additional, Monari, E., additional, Tomasi, A., additional, Loiacono, E., additional, Camilla, R., additional, Dapr, V., additional, Morando, L., additional, Gallo, R., additional, Peruzzi, L., additional, Conrieri, M., additional, Bianciotto, M., additional, Bosetti, F. M., additional, Coppo, R., additional, DI Lullo, L., additional, Floccari, F., additional, Rivera, R., additional, Granata, A., additional, Faiola, R., additional, Feliziani, C., additional, Villani, A., additional, Malaguti, M., additional, Santoboni, A., additional, Kyriaki, K., additional, Droulias, J., additional, Bogdanova, M., additional, Rameev, V. V., additional, Simonyan, A. H., additional, Kozlovskaya, L. V., additional, Altiparmak, M. R., additional, Trabulus, S., additional, Akalin, N., additional, Yalin, A. S., additional, Esenkaya, A., additional, Yalin, S. F., additional, Serdengeae(C), K., additional, Arita, D., additional, Cunha, T., additional, Perez, J., additional, Sakata, M., additional, Arita, L., additional, Nogueira, M., additional, Jara, Z., additional, Souza, N., additional, Casarini, D., additional, Metzger, M., additional, Vallet, M., additional, Karras, A., additional, Froissart, M., additional, Stengel, B., additional, Houillier, P., additional, Paul, K., additional, Kretzschmar, D., additional, Yilmaz, A., additional, Ba hlein, B., additional, Titze, S., additional, Figulla, H.-R., additional, Wolf, G., additional, Busch, M., additional, Korotchaeva, Y., additional, Gordovskaya, N., additional, Kozlovskaya, L., additional, Ng, K. P., additional, Sharma, P., additional, Stringer, S., additional, Jesky, M., additional, Dutton, M., additional, Ferro, C., additional, Cockwell, P., additional, Moon, S. J., additional, Lee, S. C., additional, Yoon, S. Y., additional, Lee, J. E., additional, Han, S. J., additional, Anna, B., additional, Kirsch, T., additional, Svjetlana, L., additional, Joon-Keun, P., additional, Jan, B., additional, Johanna, K., additional, Haller, H., additional, Haubitz, M., additional, Smirnov, A., additional, Kayukov, I., additional, Rafrafi, N., additional, Degtereva, O., additional, Dobronravov, V., additional, Koch, M., additional, Stefan, H., additional, Dika, G., additional, Antoine, M.-H., additional, Husson, C., additional, Kos, J., additional, Milic, M., additional, Fucek, M., additional, Cvoriocec, D., additional, Bourgeade, M.-F., additional, Nortier, J. L., additional, Jelakovic, B., additional, Nawal, E. H., additional, Naoufal, M., additional, Nabila, M., additional, Fadwa, E. M., additional, Salma, E. K., additional, Nisrine, B., additional, Mohamed, Z., additional, Guislaine, M., additional, Mohamed Gharbi, B., additional, Benyounes, R., additional, Sotila, G. G., additional, Sorin, R., additional, Irina Magdalena, D., additional, Roxana, C., additional, Claudia, R., additional, Correa Barcellos, F., additional, Hallal, P. H., additional, Bohlke, M., additional, Boscolo Del Vechio, F., additional, Reges, A., additional, Santos, I., additional, Mielke, G., additional, Fortes, M., additional, Antunez, B., additional, Laganovic, M., additional, Vukovic Lela, I., additional, Karanovic, S., additional, Seric, J., additional, Premuic, V., additional, Fitrek, M., additional, Fodor, L., additional, Meljkovic Vrkic, T., additional, Bansal, V., additional, Hoppensteadt, D., additional, and Fareed, J., additional
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- 2012
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29. Lipids, Waist Circumference and Body Mass Index in Haemodialysis Patients
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Bevc, S, primary, Potočnik, A, additional, and Hojs, R, additional
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- 2011
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30. CAROTID – FEMORAL PULSE WAVE VELOCITY (PWV) AND 48-HOUR AMBULATORY BLOOD PRESSURE IN HEMODIALYSIS PATIENTS: PP.27.71
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Ekart, R, primary, Hojs, R, additional, Bernhardt, M, additional, and Bevc, S, additional
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- 2010
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31. Serum cystatin C-based equation compared to serum creatinine-based equations for estimation of glomerular filtration rate in patients with chronic kidney disease
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Hojs, R., primary, Bevc, S., additional, Ekart, R., additional, Gorenjak, M., additional, and Puklavec, L., additional
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- 2008
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32. 2 Renal Anemia Treatment In Peritoneal Dialysis Patients: A Multicenter Slovenian Study
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Pajek, J, primary, Grego, K, additional, Gucek, A, additional, Bevc, S, additional, Ekart, R, additional, Vujkovac, B, additional, Golob Kosmina, P, additional, Kandus, A, additional, and Bren, A F, additional
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- 2005
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33. ATHEROSCLEROSIS AND HYPERTENSION IN PATIENTS WITH CHRONIC KIDNEY DISEASE
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Ekart, R., primary, Hojs, R., additional, Bevc, S., additional, and Balon, B. Pecovnik, additional
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- 2004
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34. Using tries for subset and superset queries.
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Bevc, S. and Savnik, I.
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- 2009
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35. Atherosclerosis in hemodialysis patients: Traditional and nontraditional risk factors
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Bevc, S., Hojs, R., Robert Ekart, and Hojs-Fabjan, T.
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lipids (amino acids, peptides, and proteins) - Abstract
Aim: To determine the significance of the relationship between some traditional risk factors (age, arterial hypertension, smoking, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein apolipoprotein B, homocysteine, calcium, phosphorus, parathyroid hormone) and asymptomatic atherosclerosis in hemodialysis patients. Methods: Ninety-one hemodialysis patients were included in the study. Using B-mode ultrasonography, we measured intima-media thickness and plaque occurrence in the carotid arteries in these patients. Biochemical parameters were determined in all participants according to standard laboratory procedure, systolic and diastolic blood pressure was measured, and information on smoking habits was obtained by questionnaire. Results: A correlation between intima-media thickness and age of the hemodialysis patients was found. Intima-media thickness values also correlated with total cholesterol, low-density lipoprotein cholesterol and apolipoprotein B. Compared to those without plaques, patients with plaques were statistically significantly older; had higher concentrations of total cholesterol, low-density lipoprotein cholesterol, triglycerides, and apolipoprotein B; and had lower concentrations of high-density lipoprotein cholesterol. The number of plaques correlated with age, total cholesterol, low-density lipoprotein cholesterol, triglycerides, and apolipoprotein B. Using multivariate models (linear or logistic regression) of traditional and nontraditional risk factors, a relationship was found between intima-media thickness, plaque occurrence, number of plaques, and age of the hemodialysis patients. With the same multivariate statistical analysis of nontraditional risk factors, a relationship was found only between intima-media thickness, plaque occurrence, number of plaques and apolipoprotein B. Conclusion: The results indicate that hemodialysis patients showed advenced atherosclerosis that is associated with traditional as well as nontraditional risk factors such as apolipoprotein B.
36. The Role of Vascular Lesions in Diabetes Across a Spectrum of Clinical Kidney Disease
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Francisco Moreso, Meritxell Ibernon, Miguel Bigotte Vieira, Enrique Morales, Fedaa Ghanem, Radovan Hojs, Esteban Porrini, Alberto Ortiz, Maruja Navarro Díaz, Clara García Garro, Clara María Cases Corona, Bo Feldt-Rasmussen, Gema Fernández, Mads Hornum, Sebastjan Bevc, Patricia Fox Concepción, Rosa Rodríguez-Rodriguez, Luis Mendonça, Arianna Bettiga, Manuel Praga, Natalia Negrín Mena, Khaled Khazim, Beatriz Fernandez-Fernandez, Federico Di Marco, Marina López Martínez, Francesco Trevisani, Maria Quero, Ivo Laranjinha, Josep M. Cruzado, Institut Català de la Salut, [Rodríguez-Rodríguez R] Hospital Universitario de Canarias, Pathology Department, Tenerife, Spain. University of La Laguna, Faculty of Medicine, Tenerife, Spain. [Hojs R, Bevc S] Department of Nephrology, Clinic for Internal Medicine, University Clinical Centre Maribor and Faculty of Medicine, University of Maribor, Slovenia. [Trevisani F] IRCCS Ospedale San Raffaele, URI–Urological Research Institute, Milano, Italy. [Morales E] Hospital 12 de Octubre, Madrid, Spain. [Fernández G] Hospital Universitario Fundación Alcorcón, Madrid, Spain. REDINREN ISCIII, Madrid, Spain. [Moreso F] REDINREN ISCIII, Madrid, Spain. Vall d'Hebron Hospital Universitari, Barcelona, Spain. [García Garro C] Vall d'Hebron Hospital Universitari, Barcelona, Spain, Vall d'Hebron Barcelona Hospital Campus, and Proteïnúria
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medicine.medical_specialty ,medicine.medical_treatment ,Urology ,Renal function ,Nefropaties diabètiques - Etiologia ,normoalbuminuria ,urologic and male genital diseases ,albuminuria ,Diabetic nephropathy ,histology ,Endocrine System Diseases::Diabetes Mellitus::Diabetes Complications::Diabetic Nephropathies [DISEASES] ,Other subheadings::/etiology [Other subheadings] ,Otros calificadores::Otros calificadores::/complicaciones [Otros calificadores] ,Clinical Research ,Diabetes mellitus ,Otros calificadores::/etiología [Otros calificadores] ,Diabetic nephropathies ,medicine ,Vasos sanguinis - Malalties - Complicacions ,enfermedades cardiovasculares [ENFERMEDADES] ,Proteinuria ,diabetes ,Cardiovascular Diseases [DISEASES] ,urogenital system ,business.industry ,diabetic nephropathy ,Nefropaties diabètiques ,medicine.disease ,Nephrectomy ,female genital diseases and pregnancy complications ,enfermedades del sistema endocrino::diabetes mellitus::complicaciones de la diabetes::nefropatías diabéticas [ENFERMEDADES] ,Nephrology ,Albuminuria ,Microalbuminuria ,medicine.symptom ,business ,chronic kidney disease ,Kidney disease ,Other subheadings::Other subheadings::/complications [Other subheadings] - Abstract
Introduction The clinical-histologic correlation in diabetic nephropathy is not completely known. Methods We analyzed nephrectomy specimens from 90 patients with diabetes and diverse degrees of proteinuria and glomerular filtration rate (GFR). Results Thirty-six (40%) subjects had normoalbuminuria, 33 (37%) microalbuminuria, and 21 (23%) non-nephrotic proteinuria. Mean estimated GFR (eGFR) was 65±23 (40% 10% to 20% of the sample. Moderate hyalinosis and arteriolar sclerosis were observed in 80% to 100% of cases with normoalbuminuria, microalbuminuria, proteinuria, as well as in class I, II, or III. Conclusions Weak correspondence between analytical parameters and kidney histology was found. Thus, disease may progress undetected from the early clinical stages of the disease. Finally, vascular damage was a very common finding, which highlights the role of ischemic intrarenal disease in diabetes., Graphical abstract
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- 2021
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37. Treatment of hospitalized patient with hyperglycemia: An EFIM critically appraised and adapted guideline.
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Uyaroğlu OA, Ruza I, Skrha J, Patoulias D, Bevc S, Bojadjiev BI, Gómez-Huelgas R, Bojunga J, Lesniak W, Carretero-Gómez J, Wacker J, Pérez-Belmonte LM, Dicker D, Petreski T, and Marín-León I
- Abstract
Background: Over the past decade, diabetes mellitus (DM) has emerged as a growing epidemic, with a direct link to an increased risk of hospitalization and a strong effect of glycemic control on clinical outcomes. The aim of this document was to critically appraise and adapt existing clinical practice guidelines (CPGs) to provide specific recommendations for the management of hyperglycemia in hospitalized adults with and without previously known DM, in an attempt to provide a practical tool to reduce the risk of major in-hospital complications., Methods: The first step of the adaptation process was to identify unsolved clinical questions (PICOs) in hospitalized persons with hyperglycemia. This was followed by a critical appraisal of updated existing CPGs and the selection of recommendations that were most applicable to specific clinical situations., Results: From the four updated high-quality evidence-based CPGs, 75 recommendations were selected, focusing on five common clinical scenarios in real-world practice: 1) glycemic targets; 2) persons with comorbidities; 3) elderly adults with low consciousness or dementia with irregular feeding or parenteral/enteral nutrition; 4) special hyperglycemic scenarios (stress hyperglycemia, corticosteroid treatment, fasting); and 5) glucose-lowering therapy at discharge. Of the 75 selected recommendations (59 strong and 16 weak), 37 were based on high-quality evidence, 8 on moderate-quality evidence, and 17 on low-quality evidence, while 13 were based on consensus (best practice statements). The recommendations apply to adults who are hospitalized or discharged from the hospital., Conclusion: Using a systematic methodology, this guideline provides an updated and ease-to-use tool for the management of hospitalized adults with hyperglycemia., Competing Interests: Declaration of competing interest The authors declare that they have no financial and non-financial competing interests. The authors declare they have no conflict of interest., (Copyright © 2024. Published by Elsevier B.V.)
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- 2024
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38. Treatment of acute kidney injury with continuous renal replacement therapy and cytokine adsorber (CytoSorb®) in critically ill patients with COVID-19.
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Jakopin E, Knehtl M, Hojs NV, Bevc S, Piko N, Hojs R, and Ekart R
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- Humans, Male, Female, Retrospective Studies, Middle Aged, Aged, SARS-CoV-2, Length of Stay, Biomarkers blood, Acute Kidney Injury therapy, Acute Kidney Injury mortality, COVID-19 therapy, COVID-19 complications, COVID-19 mortality, Continuous Renal Replacement Therapy methods, Critical Illness, Cytokines blood, Cytokines metabolism, Intensive Care Units
- Abstract
Introduction: This retrospective study aimed to evaluate the 30 and 60-day survival of critically ill patients with COVID-19 and AKI., Methods: Inflammatory and biochemical biomarkers, length of intensive care unit (ICU) stay and mortality at Day 30 and Day 60 after ICU admission were analyzed. A total of 44 patients treated with continuous renal replacement therapy (CRRT) with cytokine adsorber (CA group) were compared to 58 patients treated with CRRT alone (non-CA group)., Results: Patients in CA group were younger, had better preserved kidney function prior to the beginning of CRRT and had higher levels of interleukin-6. There were no statistically significant differences in their comorbidities and in other measured biomarkers between the two groups. The number of patients who died 60 days after ICU admission was statistically significantly higher in non-CA group (p = 0.029)., Conclusion: Treatment with CRRT and cytokine adsorber may have positively influenced 60-day survival in our COVID-19 ICU patients with AKI., (© 2024 The Author(s). Therapeutic Apheresis and Dialysis published by John Wiley & Sons Australia, Ltd on behalf of International Society for Apheresis and Japanese Society for Apheresis.)
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- 2024
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39. Narrative review of proximal tubular epithelial cell in-vitro co-culture models.
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Varda L, Petreski T, Gradišnik L, Maver U, and Bevc S
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- Humans, Animals, Models, Biological, Acute Kidney Injury, Epithelial Cells cytology, Epithelial Cells metabolism, Epithelial Cells drug effects, Kidney Tubules, Proximal cytology, Kidney Tubules, Proximal metabolism, Coculture Techniques
- Abstract
Kidney diseases are among the leading causes of death globally. With the increasing rates of acute kidney injury (AKI) requiring hospitalisation, a better understanding of pathophysiological mechanisms is needed to treat the patients more efficiently. Nephrotoxicity is one of the most common causes of AKI, mainly due to the high availability of over-the-counter drugs and natural supplements, which may interact with prescribed drugs at the level of pharmacokinetics, among other factors. The latter can lead to clinically relevant complications (including AKI), which is even more pronounced given the increasingly ageing population in the Western world and the associated increase in polypharmacy. Drug testing starts at the preclinical level, where a reliable model is needed to predict human response to a tested drug with sufficient accuracy. Recently, in-vitro kidney models of different complexities have been created to study various aspects of kidney diseases. Because the proximal tubule plays a vital role in several mechanisms, many models include proximal tubular epithelial cells (PTECs). Monocultures of PTECs do not represent in-vivo tissue accurately enough. Therefore, more complex models with more cell types are being built. To our knowledge, this is the first review focusing on co-culture models and cell types used alongside PTECs for studying the nephrotoxicity of drugs and other mechanisms of AKI and chronic kidney disease., (Creative Commons Attribution license.)
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- 2024
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40. The role of factor XIII in patient blood management.
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Žunić M, Vreča N, and Bevc S
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- Humans, Blood Coagulation, Hemostasis physiology, Wound Healing, Factor XIII therapeutic use, Factor XIII metabolism, Factor XIII Deficiency blood
- Abstract
Factor XIII (FXIII), a plasma transglutaminase, is a coagulation factor that plays a crucial role in blood clotting and patient blood management. The studies have demonstrated that FXIII targets a wide range of additional substrates that have an important role in hemostasis, especially in posttraumatic patients, patients undergoing surgery or obstetrics, being involved in wound healing and tissue repair. Morover, FXIII deficiency has also been described and an extensive research has shown that FXIII deficiency is a rare coagulopathy that leads to longer bleeding time, perioperative and postoperative complications and slower wound healing. Present article aims to overview the diverse functions of FXIII and to highlight its role in patient blood management., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)
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- 2024
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41. Iohexol plasma clearance measurement protocol standardization for adults: a consensus paper of the European Kidney Function Consortium.
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Ebert N, Schaeffner E, Seegmiller JC, van Londen M, Bökenkamp A, Cavalier E, Delanaye P, Derain-Dubourg L, Eriksen BO, Indridason OS, Palsson R, Shafi T, Christensson A, Bevc S, Carrara F, Courbebaisse M, Dalton RN, van der Giet M, Melsom T, Methven S, Nordin G, Pottel H, Rule AD, Trillini M, and White CA
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- Adult, Humans, Europe, Metabolic Clearance Rate, Models, Biological, Consensus, Contrast Media adverse effects, Contrast Media pharmacokinetics, Contrast Media administration & dosage, Glomerular Filtration Rate, Iohexol pharmacokinetics, Iohexol analysis, Kidney
- Abstract
International consensus supports the development of standardized protocols for measured glomerular filtration rate (mGFR) to facilitate the integration of mGFR testing in both clinical and research settings. To this end, the European Kidney Function Consortium convened an international group of experts with relevant experience in mGFR. The working group performed an extensive literature search to inform the development of recommendations for mGFR determination using 1-compartment plasma clearance models and iohexol as the exogenous filtration marker. Iohexol was selected as it is non-radio labeled, inexpensive, and safe, can be assayed at a central laboratory, and the other commonly used non-radio-labeled tracers have been (inulin) or are soon to be (iothalamate) discontinued. A plasma clearance model was selected over urine clearance as it requires no urine collection. A 1 compartment was preferred to 2 compartments as it requires fewer samples. The recommendations are based on published evidence complemented by expert opinion. The consensus paper covers practical advice for patients and health professionals, preparation, administration, and safety aspects of iohexol, laboratory analysis, blood sample collection and sampling times using both multiple and single-sample protocols, description of the mGFR mathematical calculations, as well as implementation strategies. Supplementary materials include patient and provider information sheets, standard operating procedures, a study protocol template, and support for mGFR calculation., (Copyright © 2024 International Society of Nephrology. Published by Elsevier Inc. All rights reserved.)
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- 2024
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42. Increased Frequency of Circulating Activated FOXP3 + Regulatory T Cell Subset in Patients with Chronic Lymphocytic Leukemia Is Associated with the Estimate of the Size of the Tumor Mass, STAT5 Signaling and Disease Course during Follow-Up of Patients on Therapy.
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Roškar Z, Dreisinger M, Homšak E, Avčin T, Bevc S, and Goropevšek A
- Abstract
Introduction: Advanced chronic lymphocytic leukemia (CLL) is accompanied by increased circulating regulatory T cells (Tregs) and increased susceptibility to severe infections, which were also shown to entail a striking induction of FOXP3 expression in Tregs. As homeostasis of the most suppressive CD45RA
- FOXP3high activated Treg (aTreg) subset differs, it is critical to analyse homeostatic signalling in Treg subsets., Materials and Methods: In this study, by using conventional and imaging flow cytometry, we monitored STAT5 signalling/phosphorylation (pSTAT5) and investigated Treg subsets in relation to the Binet stage, the total tumor mass score (TTM) and the disease course during a follow-up of 37 patients with CLL., Results: The aTreg percentage was significantly increased among CD4+ T cells from patients with advanced disease and significantly correlated with the TTM. A subgroup of patients with higher aTreg percentages among CD4+ FOXP3+ T cells at the start of therapy was characterised by more frequent episodes of severe infections during follow-up., Conclusions: The results suggesting that an aTreg fraction could represent a possible marker of a severe disease course with infectious complications. Augmented homeostatic STAT5 signalling could support aTreg expansion, as higher pSTAT5 levels were significantly correlated with an increased aTreg frequency among CD4+ FOXP3+ T cells during the follow-up of patients on therapy, as well as following SARS-CoV-2 antigen-specific stimulation in vitro.- Published
- 2024
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43. Clinical Properties and Non-Clinical Testing of Mineralocorticoid Receptor Antagonists in In Vitro Cell Models.
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Varda L, Ekart R, Lainscak M, Maver U, and Bevc S
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- Humans, Animals, Spironolactone pharmacology, Spironolactone analogs & derivatives, Spironolactone therapeutic use, Eplerenone pharmacology, Eplerenone therapeutic use, Naphthyridines pharmacology, Drug Evaluation, Preclinical methods, Renin-Angiotensin System drug effects, Renal Insufficiency, Chronic drug therapy, Renal Insufficiency, Chronic metabolism, Mineralocorticoid Receptor Antagonists pharmacology, Mineralocorticoid Receptor Antagonists therapeutic use, Receptors, Mineralocorticoid metabolism
- Abstract
Mineralocorticoid receptor antagonists (MRAs) are one of the renin-angiotensin-aldosterone system inhibitors widely used in clinical practice. While spironolactone and eplerenone have a long-standing profile in clinical medicine, finerenone is a novel agent within the MRA class. It has a higher specificity for mineralocorticoid receptors, eliciting less pronounced adverse effects. Although approved for clinical use in patients with chronic kidney disease and heart failure, intensive non-clinical research aims to further elucidate its mechanism of action, including dose-related selectivity. Within the field, animal models remain the gold standard for non-clinical testing of drug pharmacological and toxicological properties. Their role, however, has been challenged by recent advances in in vitro models, mainly through sophisticated analytical tools and developments in data analysis. Currently, in vitro models are gaining momentum as possible platforms for advanced pharmacological and pathophysiological studies. This article focuses on past, current, and possibly future in vitro cell models research with clinically relevant MRAs.
- Published
- 2024
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44. Finerenone: From the Mechanism of Action to Clinical Use in Kidney Disease.
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Piko N, Bevc S, Hojs R, and Ekart R
- Abstract
Diabetic kidney disease is a frequent microvascular complication of diabetes and is currently the leading cause of chronic kidney disease and end-stage kidney disease worldwide. Although the prevalence of other complications of diabetes is falling, the number of diabetic patients with end-stage kidney disease in need of kidney replacement therapy is rising. In addition, these patients have extremely high cardiovascular risk. It is more than evident that there is a high unmet treatment need in patients with diabetic kidney disease. Finerenone is a novel nonsteroidal mineralocorticoid receptor antagonist used for treating diabetic kidney disease. It has predominant anti-fibrotic and anti-inflammatory effects and exhibits several renal and cardiac protective effects. This review article summarizes the current knowledge and future prospects of finerenone in treating patients with kidney disease.
- Published
- 2024
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45. Psychometric Testing of the Slovene Version of the Perceived Inventory of Technological Competency as Caring in Nursing.
- Author
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Krel C, Vrbnjak D, Štiglic G, and Bevc S
- Abstract
The Perceived Inventory of Technological Competency as Caring in Nursing (PITCCN) questionnaire has been designed to measure technological competency as caring in nursing practice. It incorporates the use of technology with the fundamental principles of caring that are central to nursing. As there were no psychometrically sound instruments to quantify the concept of technological competency as caring in the Slovene language, we adapted the English version of the questionnaire to the local environment. The goal was to assess the level of psychometric properties of the PITCCN investigated in Slovene hospitals., Methods: Content validity was conducted with eight experts and quantified by the content validity index (CVI) and the modified Cohen's kappa index. Face validity was assessed through discussions with participants from the target culture in the pilot study. To assess construct validity and internal consistency, a cross-sectional research methodology was used on a convenience sample of 121 nursing personnel from four hospitals. Principal component analysis (PCA) was used to examine construct validity, while Cronbach's alpha and adjusted item-total correlations were used to measure internal consistency., Results: The content and face validity of PITCCN were adequate. The scale validity index (S-CVI) was 0.97. Cronbach's α was 0.92, and subscale reliabilities ranged from 0.810 to 0.925. PCA showed four components, which explained more than 73.49% of the variance., Conclusions: The Slovenian version of PITCCN (PITCCN_SI) has good psychometric properties.
- Published
- 2024
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46. Renal Disease in Metabolic Syndrome: the Hidden Role of Intrarenal Ischemia.
- Author
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Rodríguez-Rodríguez R, Hornum M, Rodríguez Rodríguez AE, Bevc S, Trevisani F, Fernández G, Hojs R, Fernández-Fernández B, Cases Corona CM, Cruzado JM, Quero M, Díaz MN, Bettiga A, Moreso F, Carro CG, Khazim K, Ghanem F, Ibernón M, Laranjinhia I, Mendonça L, Vieira MB, Feldt-Rasmussen B, Ortiz A, Bagi P, Sorensen CA, Morales E, and Porrini E
- Abstract
Introduction: The pathogenesis of renal disease in obesity and metabolic syndrome (MS) is mostly unknown. This is in part because of the limited information about renal morphological changes in these conditions. We evaluated renal histology in subjects with MS and those without MS, who are participants in the European Nephrectomy Biobank (ENBiBA) project., Methods: MS was defined with at least 3 of the following criteria: (i) body mass index (BMI) ≥27 kg/m
2 ; (ii) prediabetes: fasting glucose of 100-125 mg/dl or HbA1c >5.7%; (iii) systolic or diastolic blood pressure >140/90 mm Hg or the use of medications; and (iv) triglycerides >150 mg/dl or high-density lipoprotein cholesterol <40 (in men) or 50 mg/dl (in women). The absence of these criteria defined patients without MS. Exclusion criteria were diabetes or known causes of renal disease., Results: A total of 157 cases were evaluated: 49 without and 108 with MS. Those with MS were older (54 ± 16 vs. 66 ± 11, P < 0.0001), had more prevalent chronic kidney disease (CKD, estimated glomerular filtration rate [eGFR] <60 ml/min): 24% (23%) versus 4% (8%) ( P = 0.02), and had higher albumin-to-creatinine ratio (10 [4-68] vs. 4.45 [0-27], P = 0.05) than those without MS. Global sclerosis (3% [1-7] vs. 7% [3-13], P < 0.0001), nodular sclerosis, mesangial expansion, glomerulomegaly; moderate + severe hyalinosis, and arteriosclerosis were more frequent in those with MS than in those without (88 [82] vs. 29 [59]; 83 [77] vs. 30 [61]; P < 0.05). These vascular changes were independent of differences in age., Conclusion: In MS, ischemic renal disease may play a role in renal disease. In addition, some patients may develop lesions compatible with diabetic nephropathy such as increased mesangial expansion and nodular sclerosis. Further analyses are needed to study the consequences of the pandemic of obesity on renal health., (© 2024 Published by Elsevier, Inc., on behalf of the International Society of Nephrology.)- Published
- 2024
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47. Simply adding oral nutritional supplementation to haemodialysis patients may not be enough: a real-life prospective interventional study.
- Author
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Ocepek A, Ekart R, Povalej Bržan P, and Bevc S
- Abstract
Introduction: Protein-energy wasting (PEW) is a common and serious co-morbidity in haemodialysis (HD) patients. Its importance as a prognostic factor has been increasingly recognised during the past decades. Much effort has been invested in the improvement of nutritional status and amelioration of consequences through different therapeutic approaches, either intradialytic parenteral nutrition or more commonly oral nutritional supplementation. In the article, we present the results of a prospective study in HD patients after 12 months of therapeutic intervention with oral nutritional supplements (ONS)., Methods: A total of 92 HD adult patients were enrolled in the study after 3 months of wash-out period. Baseline nutritional status was assessed using composite scores, laboratory markers, bioelectrical impedance analysis, and hand-grip strength test. Patients recognised as undernourished or at high risk for undernutrition received renal-specific commercially available ONS on HD day in addition to their regular diet. After 12 months, the effect of ONS on surrogate markers of undernutrition, serum albumin level, phase angle, and hand-grip strength was analysed in 71 surviving patients., Results: After 12 months, data for 71 patients, 39 (54.9%) men, 62.4 ± 12.9 years, and median haemodialysis vintage 53.3 (IQR 27.5-92.8) months, were available. Patients were divided into three groups: group A patients were with normal nutritional status at baseline not necessitating ONS; group B patients received ONS; and group C patients were entitled to receive but refused to take ONS. The baseline results showed statistically significant differences between the groups in serum albumin levels and phase angle but not hand-grip strength. Differences between the groups remained statistically significant at month 12; we did not find any statistically significant positive changes within the groups, indicating no positive effect of intervention with ONS., Conclusion: In a prospectively designed interventional single-centre study, we did not find a statistically significant change in surrogate markers of PEW in our cohort of HD patients, receiving ONS for 12 months. Since PEW is an independent risk factor influencing the survival of HD patients, efforts should be directed towards a timely and comprehensive nutritional approach, including intensive, personalised dietary counselling, increase in protein and energy intake and advocating tight control of nutritional status during HD treatment, possibly providing psychological support and motivation., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Ocepek, Ekart, Povalej Bržan and Bevc.)
- Published
- 2023
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48. The Role of Oxidative Stress in Kidney Injury.
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Piko N, Bevc S, Hojs R, and Ekart R
- Abstract
Acute kidney injury and chronic kidney disease are among the most common non-communicable diseases in the developed world, with increasing prevalence. Patients with acute kidney injury are at an increased risk of developing chronic kidney disease. One of kidney injury's most common clinical sequelae is increased cardiovascular morbidity and mortality. In recent years, new insights into the pathophysiology of renal damage have been made. Oxidative stress is the imbalance favoring the increased generation of ROS and/or reduced body's innate antioxidant defense mechanisms and is of pivotal importance, not only in the development and progression of kidney disease but also in understanding the enhanced cardiovascular risk in these patients. This article summarizes and emphasizes the role of oxidative stress in acute kidney injury, various forms of chronic kidney disease, and also in patients on renal replacement therapy (hemodialysis, peritoneal dialysis, and after kidney transplant). Additionally, the role of oxidative stress in the development of drug-related nephrotoxicity and also in the development after exposure to various environmental and occupational pollutants is presented.
- Published
- 2023
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49. Higher Body Mass Index is associated with increased arterial stiffness prior to target organ damage: a cross-sectional cohort study.
- Author
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Piko N, Bevc S, Hojs R, Petreski T, and Ekart R
- Subjects
- Humans, Male, Middle Aged, Aged, Female, Body Mass Index, Cross-Sectional Studies, Pulse Wave Analysis, Cohort Studies, Coronary Artery Disease, Vascular Stiffness
- Abstract
Background: Obesity is associated with several neurohumoral changes that play an essential role in organ damage. Increased arterial stiffness causes functional vessel wall changes and can therefore lead to accelerated target organ damage as well. Whether obesity causes an independent increase in central arterial stiffness is, however, not yet fully known., Methods: One hundred thirty-three patients (63.2% male) were included. Body Mass Index (BMI) was defined as body weight in kilograms, divided by the square of body height in meters. Chronic Kidney Disease Epidemiology Collaboration creatinine 2009 equation was used to estimate the glomerular filtration rate (eGFR). Non-invasive applanation tonometry was used for arterial stiffness measurements (Sphygmocor Atcor Medical, Sydney, Australia). All patients underwent coronarography., Results: The mean age of our patients was 65.0 ± 9.2 years. Their mean BMI was 28.5 ± 4.4 kg/m
2 , eGFR 75.5 ± 17.2 ml/min/1.73 m2 and ankle-brachial index (ABI) 1.0 ± 0.1. Their arterial stiffness measurements showed mean carotid-femoral pulse wave velocity (cfPWV) 10.3 ± 2.7 m/s, subendocardial viability ratio (SEVR) 164.4 ± 35.0%, and pulse pressure (PP) 47.8 ± 14.5 mmHg. Spearman's correlation test revealed a statistically significant correlation between BMI and SEVR (r = -0.193; p = 0.026), BMI and cfPWV (r = 0.417; p < 0.001) and between BMI and PP (r = 0.227; p = 0.009). Multiple regression analysis confirmed an independent connection between BMI and cfPWV (B = 0.303; p < 0.001) and between BMI and SEVR (B = -0.186; p = 0.040). There was no association between BMI and kidney function, ABI, or coronary artery disease., Conclusion: Increased BMI is independently associated with augmented central arterial stiffness and reduced subendocardial perfusion but not with coronary artery disease, kidney function, or ABI., (© 2023. BioMed Central Ltd., part of Springer Nature.)- Published
- 2023
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50. New Flow Cytometric Methods for Monitoring STAT5 Signaling Reveal Responses to SARS-CoV-2 Antigen-Specific Stimulation in FOXP3+ Regulatory T Cells also in Patients with Advanced Chronic Lymphocytic Leukemia.
- Author
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Roškar Z, Dreisinger M, Tič P, Homšak E, Bevc S, and Goropevšek A
- Subjects
- Humans, T-Lymphocytes, Regulatory metabolism, Flow Cytometry, SARS-CoV-2 metabolism, STAT5 Transcription Factor metabolism, STAT5 Transcription Factor pharmacology, Forkhead Transcription Factors metabolism, Forkhead Transcription Factors pharmacology, Leukemia, Lymphocytic, Chronic, B-Cell metabolism, COVID-19
- Abstract
Increased frequency of CD4
+ CD25+ regulatory T-cells (Treg) has been associated with disease progression in chronic lymphocytic leukemia (CLL). Flow cytometric methods, which allow for the simultaneous analysis of their specific transcription factor Foxp3 and activated STAT proteins, together with proliferation can help to elucidate the signaling mechanisms driving Treg expansion and suppression of FOXP3- conventional CD4+ T-cells (Tcon). Herein, we first report a novel approach in which STAT5 phosphorylation (pSTAT5) and proliferation (BrdU-FITC incorporation) could be analyzed specifically in FOXP3+ and FOXP3- responding cells after CD3/CD28 stimulation. The addition of magnetically purified CD4+ CD25+ T-cells from healthy donors to cocultured autologous CD4+ CD25- T-cells resulted in suppression of Tcon cell cycle progression accompanied by a decrease in pSTAT5. Next, a method using imaging flow cytometry is presented for the detection of cytokine-dependent pSTAT5 nuclear translocation in FOXP3-expressing cells. Finally, we discuss our experimental data obtained by combining Treg pSTAT5 analysis and antigen-specific stimulation with SARS-CoV-2 antigens. Applying these methods on samples from patients revealed Treg responses to antigen-specific stimulation and significantly higher basal pSTAT5 in CLL patients treated with immunochemotherapy. Thus, we speculate that through the use of this pharmacodynamic tool, the efficacy of immunosuppressive drugs and their possible off-target effects can be assessed.- Published
- 2023
- Full Text
- View/download PDF
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