Fresenius Medical Care Holdings, Inc.

Fresenius Medical Care Deutschland Gmbh

Fresenius Medical Care Ag & Co Kgaa

Peter Kotanko

Stephan Thijssen

Nathan W Levin

Fansan Zhu

Franz Kappel

Doris Helene Fuertinger

Xia Tao

Len Usvyat

Nadja Grobe

Vaibhav Maheshwari

Franklin W Maddux

Israel D Campos

Hanjie Zhang

Peter Wabel

Ciro Tetta

Thomas C Blanchard

Aurelio A De Los Reyes, V

Anna Meyring-Wosten

Doris Fuertinger

Mia G Garbaccio

Jeffrey Hymes

Leticia M Tapia Silva

Yuedong Wang

Sabrina Casper

Dugan W Maddux

Alice Topping

Doris Helen Fuertinger

Louis Leegrande Barrett

David W Peterson

Roland Sander

Benjamin J Lipps

Norma J Ofsthun

Stefan Weiss

Amanda K Stennett

Frank A Gotch

Caitlin Kelly Monaghan

Dinesh K Chatoth

Priscila Preciado

David Joerg

Alhaji Cherif

Laura Rosales

Gabriela Dias

Zahin Haq

John Larkin

Kathleen Belmonte

Ines A Dahne-Steuber

Anna Meyring-Wösten

Jun Yi

Jochen G Raimann

Gudrun Schappacher-Tilp

Erik Lars Penne

Ulrike Kotanko

Hanje Zhang

Xiaoling Wang

Aurelio A De Los Reyes V

Doris H Fuertinger

Techniques for monitoring intraperitoneal volume (IPV) during a dwell period of a peritoneal dialysis patient include monitoring intraperitoneal pressure (IPP) during the dwell period using a pressure sensor, monitoring the density of the dialysate during the dwell period, and determining a change in IPV based at least on a change in IPP and a change in the density of the dialysate during the dwell period.

Predicting ultrafiltration volume in peritoneal dialysis patients

Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention.

Systems and methods for treating and estimating progression of chronic kidney disease

Methods, apparatuses, and systems for determining patient dialysis profiles, for example, of peritoneal transport status or disease progression, are described. For example, in one embodiment, a method of determining a patient profile of a dialysis patient may include obtaining a volume of fluid associated with the dialysis patient, generating patient information via fluorescence analysis of the patient fluid, and determining the patient profile based on evaluating the patient information with a profile library, the patient profile comprising at least one of a peritoneal transport status classification or a disease progression. Other embodiments are described.

Techniques for determining dialysis patient profiles

Methods, apparatuses, and systems for determining a peritoneal transport status of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent to generate patient information that may be evaluated using PD effluent fingerprints to determine peritoneal transport characteristics of the patient are described. For example, in one embodiment, a method of determining a transport status of a dialysis patient may include obtaining a volume of peritoneal dialysis (PD) effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification. Other embodiments are described.

A method for mitigating the spread of infectious diseases among dialysis patients is provided. The method comprises: receiving, by a prediction system and from a medical facility, individual treatment data indicating dialysis treatment information associated with a patient undergoing dialysis treatment; receiving, by the prediction system and from a blood testing laboratory, individual lab data indicating blood analysis information associated with the patient; determining, by the prediction system, disease analysis results for the patient based on inputting the individual treatment data and the individual lab data into a disease prediction machine learning (ML) model, wherein the disease analysis results indicate a likelihood of the patient being infected with a contagious disease; and providing, by the prediction system and to the medical facility, instructions indicating one or more responsive actions based on the disease analysis results.

System for assessing and mitigating potential spread of infectious disease among dialysis patients

An apparatus used in analyzing spent dialysate includes at least a first surface configured to accommodate a dialysate drain bag in a first predetermined position, and at least a second surface configured to accommodate a dialysate analysis device in a second predetermined position, such that when the dialysate drain bag is in the first predetermined position and the dialysate analysis device is in the second predetermined position, a light sensor of the dialysate analysis device is positioned to sense light passing through the dialysate drain bag.

Systems and methods for analyzing spent dialysate

The described technology may include processes to model acid-base homeostasis in normal patients and under acid-base disorder conditions. In one embodiment, a method may include an acid-base homeostasis analysis. The method may include, via a processor of a computing device: providing a physiological acid-base model configured to model acid-base homeostasis of a virtual patient, the physiological acid-base model to: determine a plurality of operating parameters for an HCO/CObuffering system having renal and pulmonary regulatory mechanisms, determine acid-base information comprising a bicarbonate concentration, a carbon dioxide concentration, and a free hydrogen ions concentration via simulating the HCO/CObuffering system, and determine predicted patient information based on the acid-base information. Other embodiments are described.

Techniques for determining acid-base homeostasis

Techniques for vascular access identification and validation are disclosed. The techniques include: directly or indirectly acquiring an acquired value for a parameter that is a function of oxygen saturation (SO2) of a sample of blood in or obtained from a vascular access device (VAD) disposed in a subject; performing an evaluation of the acquired value at least by comparing the acquired value with one or more reference values; and responsive to the evaluation of the acquired value, assigning an identity classification to the VAD, wherein the identity classification is one of a central venous catheter (CVC), an arteriovenous access device (AVA), or another class of VAD.

Vascular access identification and validation system

Techniques and apparatus for generating, performing, and evaluating virtual clinical trials that include clinic modules to represent real-world operational aspects of trial entities are described. In one embodiment, for example, an apparatus may include at least one memory, and logic coupled to the at least one memory. The logic may be configured to generate a plurality of avatars configured to model a health condition associated with a population of patients, and to perform a virtual clinical trial to simulate a course of treatment for the plurality of avatars, the virtual clinical trial to include at least one clinic module associated with at least one event and a probability for the at least one event, the at least one event to model an operational aspect of an entity of the virtual clinical trial. Other embodiments are described.

Techniques for conducting virtual clinical trials

A method for detecting occult hemorrhages is provided. The method includes obtaining a first hematocrit concentration prior to infusing a saline solution into a bloodstream of a patient. The method further includes infusing the saline solution into the bloodstream of the patient and obtaining a second hematocrit concentration after infusing the saline solution into the bloodstream. The method also includes determining a first absolute blood volume based on the first hematocrit concentration and the second hematocrit concentration. In addition, the method includes generating a notification indicating a potential occult hemorrhage based on the first absolute blood volume and a pre-defined absolute blood volume threshold, and providing the notification indicating the potential occult hemorrhage.

Blood monitoring system for detecting occult hemorrhages

Techniques for monitoring fluid volumes during peritoneal analysis include: computing lower abdominal fluid volumes, continuously during a dwell time of a peritoneal dialysis treatment, based at least on bioimpedance data from electrodes positioned on a patient's upper thighs; and computing intraperitoneal volumes, continuously during the dwell time of the peritoneal dialysis treatment, based at least on bioimpedance data from the electrodes positioned on the patient's upper thighs and electrodes positioned on the patient's torso.

Systems and methods for monitoring fluid volumes during peritoneal dialysis

A computing system for determining a systematic training strategy for the user is provided. The computing system includes a user device that uses one or more sensors to obtain partial pressure of oxygen (PO2) levels of a user over a period of time. The user device provides previous PO2 levels to a personalized erythropoiesis model generation computing platform. The computing platform obtains individualized user data for the user indicating or more previous hematocrit and/or hemoglobin measurements for the user. The computing platform determines an individualized erythropoiesis model for the user based on the one or more previous hematocrit and/or hemoglobin measurements and the previous PO2 information, and employs the individualized erythropoiesis model to determine predicted hematocrit and/or hemoglobin measurements. The computing platform performs one or more actions based on the one or more predicted hematocrit and/or hemoglobin measurements.

System and method for attaining desired oxygen dosing based on erythropoiesis modeling

Techniques for real-time intradialytic hypotension (IDH) prediction are disclosed. A system obtains historical hemodialysis treatment data that is segmented into sets of machine learning training data based on temporal proximities to IDH events and trains a machine learning model to predict IDH events based on the sets of machine learning training data.

Real-time intradialytic hypotension prediction

An apparatus used in analyzing spent dialysate includes: at least one surface configured to accommodate a dialysate drain bag or drain line in a predetermined position; a light source positioned to emit light through the dialysate drain bag or drain line; and a light sensor positioned to sense light emitted by the light source through the dialysate drain bag or drain line.

Systems, methods, and/or apparatuses may be operative to perform a dialysis process that includes a displacer infusion process. The dialysis machine may include at least one processor and a memory coupled to the at least one processor, the memory comprising instructions that, when executed by the processor, may cause the at least one processor to access dialysis information for a dialysis process performed by a dialysis machine, the dialysis information indicating a target substance to be displaced from a binding compound by a displacer, and determine an infusion profile for infusing the displacer into a patient during a displacer infusion process of the dialysis process, the infusion profile determined based on the dialysis information and an infusion constraint. Other embodiments are described.

Techniques for removing bound target substances during dialysis

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New York, NY, United States of America

Peter Kotanko