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Clinical Kidney Journal
Dec 16, 2021

Deep learning to classify arteriovenous access aneurysms in hemodialysis patients

Hanjie Zhang, Dean Preddie, Warren Krackov, Murat Sor, Peter Waguespack, Zuwen Kuang, Xiaoling Ye, Peter Kotanko

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About the Contributors

Hanjie Zhang, MSc, PhD

Supervisor of Biostatistics and Applied Artificial Intelligence /Machine Learning

Hanjie joined the RRI in 2014. She received a Master’s Degree in statistics from Columbia University, New York and a PhD in Medical Science from the University of Maastricht, The Netherlands. Hanjie has been involved in the design of several large cluster-randomized clinical trials and complex statistical analyses in collaboration with the Medical Office, FMCNA...

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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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Other Research

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  • Kidney360
    Feb 14, 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
    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...
  • Scientific Reports
    Sep 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 function
    Sep 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 Infection
    Aug 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...