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1. Epidemiology and outcome research in CKD 5D

Author

L. Coentrao, C. Ribeiro, C. Santos-Araujo, R. Neto, M. Pestana, W. Kleophas, A. Karaboyas, Y. LI, J. Bommer, R. Pisoni, B. Robinson, F. Port, G. Celik, B. Burcak Annagur, M. Yilmaz, T. Demir, F. Kara, K. Trigka, P. Dousdampanis, N. Vaitsis, S. Aggelakou-Vaitsi, K. Turkmen, I. Guney, F. Turgut, L. Altintepe, H. Z. Tonbul, E. Abdel-Rahman, P. Sclauzero, G. Galli, G. Barbati, M. Carraro, G. O. Panzetta, M. Van Diepen, M. Schroijen, O. Dekkers, F. Dekker, A. Sikole, G. Severova- Andreevska, L. Trajceska, S. Gelev, V. Amitov, S. Pavleska- Kuzmanovska, H. Rayner, R. Vanholder, M. Hecking, B. Jung, M. Leung, F. Huynh, T. Chung, S. Marchuk, M. Kiaii, L. Er, R. Werb, C. Chan-Yan, M. Beaulieu, P. Malindretos, P. Makri, G. Zagkotsis, G. Koutroumbas, G. Loukas, E. Nikolaou, M. Pavlou, E. Gourgoulianni, M. Paparizou, M. Markou, E. Syrgani, C. Syrganis, J. Raimann, L. A. Usvyat, V. Bhalani, N. W. Levin, P. Kotanko, X. Huang, P. Stenvinkel, A. R. Qureshi, U. Riserus, T. Cederholm, P. Barany, O. Heimburger, B. Lindholm, J. J. Carrero, J. H. Chang, J. Y. Sung, J. Y. Jung, H. H. Lee, W. Chung, S. Kim, J. S. Han, K. Y. Na, A. Fragoso, A. Pinho, A. Malho, A. P. Silva, E. Morgado, P. Leao Neves, N. Joki, Y. Tanaka, M. Iwasaki, S. Kubo, T. Hayashi, Y. Takahashi, K. Hirahata, Y. Imamura, H. Hase, C. Castledine, J. Gilg, C. Rogers, Y. Ben-Shlomo, F. Caskey, J. S. Sandhu, G. S. Bajwa, S. Kansal, J. Sandhu, A. Jayanti, M. Nikam, L. Ebah, A. Summers, S. Mitra, J. Agar, A. Perkins, R. Simmonds, A. Tjipto, S. Amet, V. Launay-Vacher, M. Laville, A. Tricotel, C. Frances, B. Stengel, J.-Y. Gauvrit, N. Grenier, G. Reinhardt, O. Clement, N. Janus, L. Rouillon, G. Choukroun, G. Deray, A. Bernasconi, R. Waisman, A. P. Montoya, A. A. Liste, R. Hermes, G. Muguerza, R. Heguilen, E. L. Iliescu, V. Martina, M. A. Rizzo, P. Magenta, L. Lubatti, G. Rombola, M. Gallieni, C. Loirat, H. Mellerio, M. Labeguerie, B. Andriss, E. Savoye, M. Lassale, C. Jacquelinet, C. Alberti, Y. Aggarwal, J. Baharani, S. Tabrizian, S. Ossareh, M. Zebarjadi, P. Azevedo, F. Travassos, I. Frade, M. Almeida, J. Queiros, F. Silva, A. Cabrita, R. Rodrigues, C. Couchoud, J. Kitty, S. Benedicte, C. Fergus, C. Cecile, B. Sahar, V. Emmanuel, J. Christian, E. Rene, H. Barahimi, M. Mahdavi-Mazdeh, M. Nafar, M. Petruzzi, M. De Benedittis, M. Sciancalepore, L. Gargano, P. Natale, M. C. Vecchio, V. Saglimbene, F. Pellegrini, G. Gentile, P. Stroumza, L. Frantzen, M. Leal, M. Torok, A. Bednarek, J. Dulawa, E. Celia, R. Gelfman, J. Hegbrant, C. Wollheim, S. Palmer, D. W. Johnson, P. J. Ford, J. C. Craig, G. F. Strippoli, M. Ruospo, B. El Hayek, B. Hayek, E. Baamonde, E. Bosch, J. I. Ramirez, G. Perez, A. Ramirez, A. Toledo, M. M. Lago, C. Garcia-Canton, M. D. Checa, B. Canaud, B. Lantz, A. Granger-Vallee, P. Lertdumrongluk, N. Molinari, J. Ethier, M. Jadoul, B. Gillespie, C. Bond, S. Wang, T. Alfieri, P. Braunhofer, B. Newsome, M. Wang, B. Bieber, M. Guidinger, L. Zuo, X. Yu, X. Yang, J. Qian, N. Chen, J. Albert, Y. Yan, S. Ramirez, M. Beresan, A. Lapidus, M. Canteli, A. Tong, B. Manns, J. Craig, G. Strippoli, M. Mortazavi, B. Vahdatpour, S. Shahidi, A. Ghasempour, D. Taheri, S. Dolatkhah, A. Emami Naieni, M. Ghassami, M. Khan, K. Abdulnabi, P. Pai, M. Vecchio, M. A. Muqueet, M. J. Hasan, M. A. Kashem, P. K. Dutta, F. X. Liu, L. Noe, T. Quock, N. Neil, G. Inglese, M. Motamed Najjar, B. Bahmani, A. Shafiabadi, J. Helve, M. Haapio, P.-H. Groop, C. Gronhagen-Riska, P. Finne, R. Sund, M. Cai, S. Baweja, A. Clements, A. Kent, R. Reilly, N. Taylor, S. Holt, L. Mcmahon, M. Carter, F. M. Van der Sande, J. Kooman, R. Malhotra, G. Ouellet, E. L. Penne, S. Thijssen, M. Etter, A. Tashman, A. Guinsburg, A. Grassmann, C. Barth, C. Marelli, D. Marcelli, G. Von Gersdorff, I. Bayh, L. Scatizzi, M. Lam, M. Schaller, T. Toffelmire, Y. Wang, P. Sheppard, L. Neri, V. A. Andreucci, L. A. Rocca-Rey, S. V. Bertoli, D. Brancaccio, G. De Berardis, G. Lucisano, D. Johnson, A. Nicolucci, C. Bonifati, S. D. Navaneethan, V. Montinaro, M. Zsom, A. Bednarek-Skublewska, G. Graziano, J. N. Ferrari, A. Santoro, A. Zucchelli, G. Triolo, S. Maffei, S. De Cosmo, V. M. Manfreda, L. Juillard, A. Rousset, F. Butel, S. Girardot-Seguin, T. Hannedouche, M. Isnard, Y. Berland, P. Vanhille, J.-P. Ortiz, G. Janin, P. Nicoud, M. Touam, E. Bruce, B. Grace, P. Clayton, A. Cass, S. Mcdonald, Y. Furumatsu, T. Kitamura, N. Fujii, S. Ogata, H. Nakamoto, K. Iseki, Y. Tsubakihara, C.-C. Chien, J.-J. Wang, J.-C. Hwang, H.-Y. Wang, W.-C. Kan, N. Kuster, L. Patrier, A.-S. Bargnoux, M. Morena, A.-M. Dupuy, S. Badiou, J.-P. Cristol, J.-M. Desmet, V. Fernandes, F. Collart, N. Spinogatti, J.-M. Pochet, M. Dratwa, E. Goffin, J. Nortier, D. S. Zilisteanu, M. Voiculescu, E. Rusu, C. Achim, R. Bobeica, S. Balanica, T. Atasie, S. Florence, S. Anne-Marie, L. Michel, C. Cyrille, A. Strakosha, N. Pasko, S. Kodra, N. Thereska, A. Lowney, E. Lowney, R. Grant, M. Murphy, L. Casserly, T. O' Brien, W. D. Plant, J. Radic, D. Ljutic, V. Kovacic, M. Radic, K. Dodig-Curkovic, M. Sain, I. Jelicic, T. Hamano, C. Nakano, S. Yonemoto, A. Okuno, M. Katayama, Y. Isaka, M. Nordio, A. Limido, M. Postorino, M. Nichelatti, M. Khil, I. Dudar, V. Khil, I. Shifris, M. Momtaz, A. R. Soliman, M. I. El Lawindi, P. Dzekova-Vidimliski, S. Pavleska-Kuzmanovska, I. Nikolov, G. Selim, T. Shoji, R. Kakiya, N. Tatsumi-Shimomura, Y. Tsujimoto, T. Tabata, H. Shima, K. Mori, S. Fukumoto, H. Tahara, H. Koyama, M. Emoto, E. Ishimura, Y. Nishizawa, and M. Inaba

Subjects
Transplantation, medicine.medical_specialty, Nephrology, business.industry, Epidemiology, Medicine, business, Intensive care medicine, Outcome (game theory)
Published
2012

2. Nutrition, inflammation and oxidative stress - CKD 5D

Author

L. A. Usvyat, J. Raimann, S. Thijssen, F. M. van der Sande, J. Kooman, N. W. Levin, P. Kotanko, G. Von Gersdorff, M. Schaller, I. Bayh, M. Etter, A. Grassmann, A. Guinsburg, M. Lam, D. Marcelli, C. Marelli, L. Scatizzi, A. Tashman, T. Toffelmire, L. Usvyat, F. Van der Sande, Y. Wang, C. Barth, T. Moffitt, F. Hariton, M. Devlin, P. Garrett, M. Hannon-Fletcher, M. Ekramzadeh, Z. Sohrabi, M. Salehi, M. K. Fallahzadeh, M. Ayatollahi, B. Geramizadeh, J. Hassanzadeh, M. M. Sagheb, I. Beberashvili, I. Sinuani, A. Azar, H. Kadoshi, G. Shapiro, L. Feldman, Z. Averbukh, J. Weissgarten, Y. Abe, M. Watanabe, K. Ito, Y. Sasatomi, S. Ogahara, H. Nakashima, T. Saito, S. Witt, R. Kunze, H. J. Guth, H. Skarabis, J. Vienken, P. Nowak, R. Wilk, B. Mamelka, A. Prymont-Przyminska, A. Zwolinska, A. Sarniak, A. Wlodarczyk, J. Rysz, D. Nowak, L. Trajceska, P. Dzekova-Vidimliski, S. Gelev, S. Arsov, A. Sikole, M. Sonikian, A. Dona, I. Skarakis, P. Metaxaki, C. Chiotis, I. Papoutsis, A. Karaitianou, C. Spiliopoulou, F. M. Van der Sande, D. Teta, L. Tappy, N. Theumann, G. Halabi, T. Gauthier, C. Mathieu, S. Tremblay, P. Coti, M. Burnier, A. Zanchi, A. Martinez Vea, C. Cabre, D. Villa, M. Munoz, J. P. Vives, M. Arruche, J. Soler, M. T. Compte, J. Aguilera, M. Romeu, M. Giralt, G. Barril, S. Anaya, C. Vozmediano, A. Celayeta, R. Novillo, V. Bernal, I. Beiret, E. Huarte, J. Martin, H. Santana, G. Torres, F. Sousa, R. Sanchez, A. Lopez-Montes, F. Tornero, J. Uson, M. Pousa, M. Giorgi, B. Rdez Cubillo, R. Malhotra, S. R. Abbas, S. Thjissen, M. Carter, G. von Gersdorff, N. Levin, R. Jens, M. Tepel, E. Katharina, H. Andrea, F. Simone, S. Florian, O. Slusanschi, L. Garneata, R. Moraru, E. Preoteasa, C. Barbulescu, C. Santimbrean, C. Klein, D. Dragomir, G. Mircescu, T. Idorn, F. Knop, J. J. Holst, M. Hornum, B. Feldt-Rasmussen, Y. K. Son, W. S. An, S. E. Kim, K. H. Kim, S. Borrelli, R. Minutolo, L. De Nicola, G. Conte, W. De Simone, B. Zito, P. Guastaferro, F. Nigro, A. Bassi, L. Leone, O. Credendino, R. Genualdo, M. Capuano, G. Iulianiello, M. R. Auricchio, S. Sezer, Z. Bal, E. Tutal, M. Erkmen Uyar, F. N. Ozdemir Acar, S. Ribeiro, M. S. Faria, F. Melo, J. Sereno, I. Freitas, M. Mendonca, H. Nascimento, J. Fernandes, P. Rocha-Pereira, V. Miranda, D. Mendonca, A. Quintanilha, L. Belo, E. Costa, F. Reis, A. Santos-Silva, R. Valtuille, M. E. Casos, and E. A. Fernandez

Subjects
Transplantation, Nephrology, business.industry, Immunology, medicine, Inflammation, medicine.symptom, medicine.disease_cause, business, Oxidative stress
Published
2012

3. Hypertension

Author

E. Oliveira Sales, M. Boim, E. Maquigussa, P. Semedo, L. Pereira, N. Camara, C. Bergamaschi, R. Campos, L. Weis, J.-C. Dussaule, D. Feldman, C. Chatziantoniou, P. Kavvadas, S. Savard, L. Zanoli, G. Bobrie, X. Jeunemaitre, M. Azizi, M. Frank, P. Plouin, S. Laurent, P. Boutouyrie, F. Margulis, V. Golglid, R. Schiavelli, A. Guinsburg, I. Bayh, M. Etter, G. Von Gersdorff, A. Grassmann, J. Kooman, M. Lam, D. Marcelli, C. Marelli, L. Scatizzi, M. Schaller, A. Tashman, S. Thijssen, T. Toffelmire, L. A. Usvyat, F. M. Van der Sande, Y. Wang, C. Barth, N. W. Levin, and P. Kotanko

Subjects
Transplantation, Nephrology
Published
2012

4. A look at pre-dialysis guidelines in Canada

Author

D, Mendelssohn and T, Toffelmire

Subjects
Renal Replacement Therapy, Canada, Nephrology, Practice Guidelines as Topic, Humans, Kidney Failure, Chronic, Family Practice, Referral and Consultation
Published
1999

5. Relationship of Neutrophil-to-Lymphocyte Ratio and Serum Albumin Levels with C-Reactive Protein in Hemodialysis Patients: Results from 2 International Cohort Studies.

Author

Malhotra R, Marcelli D, von Gersdorff G, Grassmann A, Schaller M, Bayh I, Scatizzi L, Etter M, Guinsburg A, Barth C, Marelli C, Carioni P, van der Sande F, Kooman JP, Liu E, Toffelmire T, Wang Y, Thijssen S, Usvyat LA, and Kotanko P

Subjects
Aged, Biomarkers, Cohort Studies, Cross-Sectional Studies, Female, Humans, Leukocyte Count, Male, Middle Aged, Renal Insufficiency, Chronic drug therapy, Reproducibility of Results, Retrospective Studies, Treatment Outcome, C-Reactive Protein analysis, Lymphocytes physiology, Neutrophils physiology, Renal Dialysis, Renal Insufficiency, Chronic blood, Serum Albumin analysis
Abstract

Background/aim: The neutrophil-to-lymphocyte ratio (NLR), defined as the neutrophil count divided by lymphocyte count, is an inexpensive and readily available parameter, which may serve as a surrogate for inflammation markers, such as C-reactive protein (CRP). The aim of this study was to determine the utility of NLR in the prediction of elevated CRP levels in hemodialysis (HD) patients., Methods: We analyzed 43,272 HD patients from 2 distinct cohorts within the Monitoring Dialysis Outcomes research collaboration in whom contemporaneous measurements of neutrophil and lymphocyte counts, serum albumin and CRP levels were available. Logistic regression was used to determine the relationship of trichotomized NLR (<2.5, 2.5-5 and >5.0) and albumin levels (<3.1, 3.1-4.0 and >4.0 g/dl) with elevated CRP levels (>10.0, >20.0 and >30.0 mg/l). Congruence of the prediction models was examined by comparing the regression parameters and by cross-validating each regression equation within the other cohort., Results: We found that NLR >5.0 vs. <2.5 (cohort 1: OR 2.3; p < 0.0001 and cohort 2: OR 2.0; p < 0.0001) was associated with CRP levels >10.0 mg/l. Stepwise increase in odds ratio for CRP >10.0 mg/l was observed with the combination of high NLR and low albumin levels (NLR >5.0 and albumin <3.1) (cohort 1: OR 7.6; p < 0.0001 and cohort 2: OR 11.9; p < 0.0001). Cross-validation of the 2 regression models revealed a predictive accuracy of 0.68 and 0.69 in the respective cohorts., Conclusion: This study suggests that NLR could serve as a potential surrogate marker for CRP. Our results may add to diagnostic abilities in settings where CRP is not measured routinely in HD patients. NLR is easy to integrate into daily practice and may be used as a marker of systemic inflammation., (© 2015 S. Karger AG, Basel.)

Published
2015
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6. Interdialytic weight gain, systolic blood pressure, serum albumin, and C-reactive protein levels change in chronic dialysis patients prior to death.

Author

Usvyat LA, Barth C, Bayh I, Etter M, von Gersdorff GD, Grassmann A, Guinsburg AM, Lam M, Marcelli D, Marelli C, Scatizzi L, Schaller M, Tashman A, Toffelmire T, Thijssen S, Kooman JP, van der Sande FM, Levin NW, Wang Y, and Kotanko P

Subjects
Aged, Argentina, Asia, Biomarkers blood, Databases, Factual, Disease Progression, Europe, Female, Humans, Male, Middle Aged, Renal Dialysis adverse effects, Renal Insufficiency, Chronic blood, Renal Insufficiency, Chronic diagnosis, Renal Insufficiency, Chronic physiopathology, Retrospective Studies, Risk Assessment, Risk Factors, Serum Albumin, Human, Time Factors, Treatment Outcome, United States, Blood Pressure, C-Reactive Protein metabolism, Renal Dialysis mortality, Renal Insufficiency, Chronic mortality, Renal Insufficiency, Chronic therapy, Serum Albumin metabolism, Systole, Weight Gain
Abstract

Reports from a United States cohort of chronic hemodialysis patients suggested that weight loss, a decline in pre-dialysis systolic blood pressure, and decreased serum albumin may precede death. However, no comparative studies have been reported in such patients from other countries. Here we analyzed dynamic changes in these parameters in hemodialysis patients and included 3593 individuals from 5 Asian countries; 35,146 from 18 European countries; 8649 from Argentina; and 4742 from the United States. In surviving prevalent patients, these variables appeared to have notably different dynamics than in patients who died. While in all populations the interdialytic weight gain, systolic blood pressure, and serum albumin levels were stable in surviving patients, these indicators declined starting more than a year ahead in those who died with the dynamics similar irrespective of gender and geographic region. In European patients, C-reactive protein levels were available on a routine basis and indicated that levels of this acute-phase protein were low and stable in surviving patients but rose sharply before death. Thus, relevant fundamental biological processes start many months before death in the majority of chronic hemodialysis patients. Longitudinal monitoring of these dynamics may help to identify patients at risk and aid the development of an alert system to initiate timely interventions to improve outcomes.

Published
2013
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7. The MONitoring Dialysis Outcomes (MONDO) initiative.

Author

Usvyat LA, Haviv YS, Etter M, Kooman J, Marcelli D, Marelli C, Power A, Toffelmire T, Wang Y, and Kotanko P

Subjects
Aged, Body Weight, Female, Hemoglobins analysis, Humans, International Cooperation, Kidney Failure, Chronic blood, Kidney Failure, Chronic mortality, Leukocyte Count, Lymphocytes pathology, Male, Middle Aged, Neutrophils pathology, Phosphorus blood, Survival Analysis, Treatment Outcome, Databases, Factual, Electronic Health Records organization & administration, Kidney Failure, Chronic therapy, Monitoring, Physiologic statistics & numerical data, Renal Dialysis statistics & numerical data
Abstract

Background: Systematic collection and analysis of global hemodialysis patient data may help to improve patient outcomes., Methods: The MONitoring Dialysis Outcomes (MONDO) initiative comprises data from eight dialysis providers worldwide. Data are combined into one repository. Extensive procedures are employed to merge data across countries and providers., Results: The MONDO database comprises longitudinal data of currently 128,000 hemodialysis patients from 26 countries on five continents. Here we report data from 62,345 incident hemodialysis patients. We found lower catheter rates in South-East Asia and Australia, lower hemoglobin levels in South-East Asia, and a higher prevalence of diabetes in North America. Longitudinal analyses suggest that there is a decline in interdialytic weight gain and serum phosphorus and an increasing neutrophil-to-lymphocyte ratio before death in all regions studied., Conclusions: While organizationally lean and low-cost, MONDO is the largest global dialysis database initiative to date, with a particular focus on high longitudinal data density and geographical diversity., (Copyright © 2013 S. Karger AG, Basel.)

Published
2013
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8. Monitoring dialysis outcomes across the world--the MONDO Global Database Consortium.

Author

von Gersdorff GD, Usvyat L, Marcelli D, Grassmann A, Marelli C, Etter M, Kooman JP, Power A, Toffelmire T, Haviv YS, Guinsburg A, Barth C, Schaller M, Bayh I, Scatizzi L, Tashman A, Thijssen S, Levin NW, van der Sande FM, Pusey C, Wang Y, and Kotanko P

Subjects
Global Health, Humans, Registries, Reproducibility of Results, Databases, Factual standards, Outcome Assessment, Health Care statistics & numerical data, Renal Dialysis statistics & numerical data
Abstract

Background/aims: Dialysis providers frequently collect detailed longitudinal and standardized patient data, providing valuable registries of routine care. However, even large organizations are restricted to certain regions, limiting their ability to separate effects of local practice from the pathophysiology shared by most dialysis patients. To overcome this limitation, the MONDO (MONitoring Dialysis Outcomes) research consortium has created a platform for the joint analysis of data from almost 200,000 dialysis patients worldwide., Methods: We examined design and operation of MONDO as well as its methodology with respect to patient inclusion, descriptive data and other study parameters., Results: MONDO partners contribute primary databases of anonymized patient data and collaboratively analyze populations across national and regional boundaries. To that end, datasets from different electronic health record systems are converted into a uniform structure. Patients are enrolled without systematic exclusions into open cohorts representing the diversity of patients. A large number of patient level treatment and outcome data is recorded frequently and can be analyzed with little delay. Detailed variable definitions are used to determine if a parameter can be studied in a subset or all databases., Conclusion: MONDO has created a large repository of validated dialysis data, expanding the opportunities for outcome studies in dialysis patients. The density of longitudinal information facilitates in particular trend analysis. Limitations include the paucity of uniform definitions and standards regarding descriptive information (e.g. comorbidities), which limits the identification of patient subsets. Through its global outreach, depth, breadth and size, MONDO advances the observational study of dialysis patients and care., (© 2013 S. Karger AG, Basel.)

Published
2013
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9. A look at pre-dialysis guidelines in Canada.

Author

Mendelssohn D and Toffelmire T

Subjects
Canada, Humans, Family Practice standards, Kidney Failure, Chronic therapy, Nephrology standards, Practice Guidelines as Topic, Referral and Consultation standards, Renal Replacement Therapy standards
Published
1998

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