Peter Kotanko, MD, FASN
Head of Biomedical Evidence Generation and
Renal Research Institute
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. He is Adjunct Professor of Medicine and Nephrology at the Icahn School of Medicine at Mount Sinai in New York and holds a teaching appointment at the Medical University of Innsbruck. He has authored and co-authored over 350 publications and book chapters, and he holds multiple patents in the field of kidney replacement therapy. He is an awardee of the 2019 KidneyX prize for innovations in dialysis and the 2021 KidneyX COVID-19 Kidney Care Challenge. He is a Fellow of the American Society of Nephrology.
Recent Articles by Peter Kotanko, MD, FASN
Clinical journal of the American Society of NephrologyMay 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...
Kidney360May 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 NephrologyApr 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...
Kidney360Apr 12, 2023
Variability of Serum Phosphate in Incident Hemodialysis Pati...null, Xiaoling Ye, Yuedong Wang, Len A Usvyat, Fra...No abstract available
Clinical journal of the American Society of NephrologyJan 27, 2023
Artificial Intelligence and Machine Learning in Dialysis: Re...Peter Kotanko, Hanjie Zhang, Yuedong WangNo abstract available.
Hemodialysis InternationalNov 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...
Scientific ReportsSep 26, 2022
Identification of arterial oxygen intermittency in oximetry ...Paulo P Galuzio, Alhaji Cherif, Xia Tao, Ohnmar Th...Abstract In patients with kidney failure treated by hemodialysis, intradialytic arterial oxygen saturation (SaO2) time series present intermittent high-frequency high-amplitude oximetry patterns (IHHOP), which correlate with observed sleep-associated breathing disturbances. A new method for identifying such intermittent patterns is proposed. The method is based on the analysis of recurrence in the time series through the...
Cell biochemistry and functionSep 19, 2022
Effect of hypoxia and uremia on oxidative stress on erythroc...Sara Soares Tozoni, Gabriela Bohnen, Nadja Grobe,...Abstract Oxidative stress (OS) is essential in uremia-associated comorbidities, including renal anemia. Complications experienced by hemodialysis (HD) patients, such as hypoxemia and uremic toxins accumulation, induce OS and premature death of red blood cells (RBC). We aimed to characterize reactive oxygen species (ROS) production and antioxidant pathways in HD-RBC and RBC from healthy controls (CON-RBC)...
Clinical Microbiology and InfectionAug 28, 2022
Impact of COVID-19 and malaria coinfection on clinical outco...Rasha Hussein, Murilo Guedes, Nada Ibraheim, Mazin...Abstract Objectives: Despite the possibility of concurrent infection with COVID-19 and malaria, little is known about the clinical course of coinfected patients. We analysed the clinical outcomes of patients with concurrent COVID-19 and malaria infection. Methods: We conducted a retrospective cohort study that assessed prospectively collected data of all patients who were admitted between May and December...
ElifeAug 09, 2022
Modeling osteoporosis to design and optimize pharmacological...David J. Jörg, Doris Fuertinger, Alhaji Cherif, Da...Abstract For the treatment of postmenopausal osteoporosis, several drug classes with different mechanisms of action are available. Since only a limited set of dosing regimens and drug combinations can be tested in clinical trials, it is currently unclear whether common medication strategies achieve optimal bone mineral density gains or are outperformed by alternative dosing schemes...
Diversity, creativity, and enthusiasm team up to advance patient care.
Peter Kotanko, MD, FASN
Head of Biomedical Evidence Generation and Renal Research Institute