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Kidney360
Apr 12, 2023

Variability of Serum Phosphate in Incident Hemodialysis Patients: Association with All-Cause Mortality

null, Xiaoling Ye, Yuedong Wang, Len A Usvyat, Frank M. van der Sande, null, Peter Kotanko, Jeroen P Kooman, Frank W Maddux

No abstract available

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About the Authors

Dr. Peter Kotanko, MD

RRI Research Director

SVP, Corporate Research & Development

Peter Kotanko, MD, is Research Director at the Renal Research Institute (RRI), New York. Prior to joining RRI, from 1997 to 2007 he served as vice chair of a department of internal medicine at an academic teaching hospital in Graz, Austria. Prior to moving to Graz in 1989, he worked from 1982 to 1989 in the Department of Physiology and the University Clinic of Internal Medicine in Innsbruck, Austria. From 1995 to 1996 he trained in nephrology at the Hammersmith Hospital, London, United Kingdom

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Xiaoling (Janice) Ye, MPH, PhD

Principal Analyst

Xiaoling (Janice) Ye, MPH, Ph.D. (c), is a Principal Analyst at Renal Research Institute. Xiaoling (Janice) holds a B.E. Degree in Pharmaceutical Engineering from the University of Traditional Medicine in Guangzhou, China, Master’s Degree in Epidemiology from Tulane University in New Orleans, and obtaining her Ph.D. (est. 2020), in Medical Science from the University of Maastricht in the Netherlands...

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Jochen G. Raimann, MD, PhD, MPH

Director, Data Analytics

Jochen has worked as a full-time scientist at RRI since his start as a postdoctoral research fellow in 2007. As Senior Manager of Clinical Data Analytics, Jochen conducts epidemiological research in dialysis and oversees many analytical projects. He has first- and co-authored numerous papers and also serves as Associate Editor of the journals Trials and Scientific Reports. ochen earned his MD from the Medical University Graz, his PhD from Maastricht University, and his MPH with a focus on epidemiology and biostatistics from the City University of New York School of Public Health.

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Other Research

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  • Kidney Medicine Journal
    May 14, 2023

    Individualization of Serum-to-Dialysate Potassium Concentrat...

    Jonathan S Chávez-Iñiguez, Jochen G Raimann
    No abstract available
  • Clinical journal of the American Society of Nephrology
    May 11, 2023

    Inclement Weather and Risk of Missing Scheduled Hemodialysis...

    Richard V Remigio, Jochen G Raimann, Peter Kotanko...
    Abstract Background: Nonadherence to hemodialysis appointments could potentially result in health complications that can influence morbidity and mortality. We examined the association between different types of inclement weather and hemodialysis appointment adherence. Methods: We analyzed health records of 60,135 patients with kidney failure who received in-center hemodialysis treatment at Fresenius Kidney Care clinics across the Northeastern US...
  • Kidney360
    May 04, 2023

    Dynamics of Plasma Refill Rate and Intradialytic Hypotension...

    Hanjie Zhang, Sabrina Casper, Peter Kotanko, Joche...
    Abstract Background: Attaining the optimal balance between achieving adequate volume removal while preserving organ perfusion is a challenge for patients receiving maintenance hemodialysis. Current strategies to guide ultrafiltration are inadequate. Methods: We developed an approach to calculate plasma refill rate throughout hemodialysis using hematocrit and ultrafiltration data in a retrospective cohort of patients receiving maintenance hemodialysis at...
  • Clinical journal of the American Society of Nephrology
    Apr 19, 2023

    Ultrafiltration Rate Levels in Hemodialysis Patients Associa...

    Ariella Mermelstein, Jochen G Raimann, Yuedong Wan...
    Abstract Background: We hypothesized that the association of ultrafiltration rate with mortality in hemodialysis patients was differentially affected by weight and sex and sought to derive a sex- and weight-indexed ultrafiltration rate measure that captures the differential effects of these parameters on the association of ultrafiltration rate with mortality. Methods: Data were analyzed from the US Fresenius...
  • Clinical journal of the American Society of Nephrology
    Jan 27, 2023

    Artificial Intelligence and Machine Learning in Dialysis: Re...

    Peter Kotanko, Hanjie Zhang, Yuedong Wang
    No abstract available.
  • Hemodialysis International
    Nov 20, 2022

    Predicting mortality risk in dialysis: Assessment of risk fa...

    Sheetal Chaudhuri, John W Larkin, Murilo Guedes, Y...
    Abstract Introduction: Several factors affect the survival of End Stage Kidney Disease (ESKD) patients on dialysis. Machine learning (ML) models may help tackle multivariable and complex, often non-linear predictors of adverse clinical events in ESKD patients. In this study, we used advanced ML method as well as a traditional statistical method to develop and compare the...