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.
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.
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Authors: Adrian M Guinsburg; Len A Usvyat; Michael Etter; Xiaoqi Xu; Stephan Thijssen; Daniele Marcelli; Bernard Canaud; Cristina Marelli; Claudia Barth; Yuedong Wang; Paola Carioni; Frank M van der Sande; Peter Kotanko; Jeroen P Kooman Journal: BMC Nephrol Date: 2015-08-14 Impact factor: 2.388
Authors: Maria Ferris; Keisha Gibson; Brett Plattner; Debbie S Gipson; Peter Kotanko; Daniele Marcelli; Cristina Marelli; Michael Etter; Paola Carioni; Gero von Gersdorff; Xiaoqi Xu; Jeroen P Kooman; Qingqing Xiao; Frank M van der Sande; Albert Power; Roberto Picoits-Filho; Lucimary Sylvestre; Katherine Westreich; Len Usvyat Journal: Clin Kidney J Date: 2016-03-05
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