Abstract: A hemodialysis patient data acquisition and management system resides on a host computer which receives information from one or more non-invasive, optical blood monitors associated with a hemodialysis system. When a patient is undergoing hemodialysis treatment, a sensor assembly monitors the patient's blood flowing through the hemodialysis system and a controller for the blood monitor generates data which includes at least an identification code for the patient undergoing the treatment on the respective system, and non-invasively determined blood data taken at the onset of the scheduled treatment, such as initial Hgb, HCT, and SAT values. A host computer communicates with the one or more optical blood monitors, preferably via a wireless network, and the patient's session commencement data is downloaded to the host computer.

Abstract: Absolute blood volume in dialysis patients is a useful patient attribute to know for dialysis treatment, diagnosis, adjustments, etc. In some cases, it is difficult or impossible to directly determine absolute blood volume. Estimating absolute blood volume may be used to overcome the inability to directly determine the absolute blood volume. Estimating absolute blood volume may include obtaining a series of measurements of hemoconcentration of a patient over a time period, and estimating parameters for a physiological model based on the series of measurements. The absolute blood volume of the patient may be determined using the physiological model.

Abstract: Absolute blood volume in dialysis patients is a useful patient attribute to know for dialysis treatment, diagnosis, adjustments, etc. In some cases, it is difficult or impossible to directly determine absolute blood volume. Estimating absolute blood volume may be used to overcome the inability to directly determine the absolute blood volume. Estimating absolute blood volume may include obtaining a series of measurements of hemoconcentration of a patient over a time period, and estimating parameters for a physiological model based on the series of measurements. The absolute blood volume of the patient may be determined using the physiological model.

Abstract: Absolute blood volume in dialysis patients is a useful patient attribute to know for dialysis treatment, diagnosis, adjustments, etc. In some cases, it is difficult or impossible to directly determine absolute blood volume. Estimating absolute blood volume may be used to overcome the inability to directly determine the absolute blood volume. Estimating absolute blood volume may include obtaining a series of measurements of hemoconcentration of a patient over a time period, and estimating parameters for a physiological model based on the series of measurements. The absolute blood volume of the patient may be determined using the physiological model.

Abstract: A hemodialysis patient data acquisition and management system resides on a host computer which receives information from one or more non-invasive, optical blood monitors associated with a hemodialysis system. When a patient is undergoing hemodialysis treatment, a sensor assembly monitors the patient's blood flowing through the hemodialysis system and a controller for the blood monitor generates data which includes at least an identification code for the patient undergoing the treatment on the respective system, and non-invasively determined blood data taken at the onset of the scheduled treatment, such as initial Hgb, HCT, and SAT values. A host computer communicates with the one or more optical blood monitors, preferably via a wireless network, and the patient's session commencement data is downloaded to the host computer.

Abstract: Absolute blood volume in dialysis patients is a useful patient attribute to know for dialysis treatment, diagnosis, adjustments, etc. In some cases, it is difficult or impossible to directly determine absolute blood volume. Estimating absolute blood volume may be used to overcome the inability to directly determine the absolute blood volume. Estimating absolute blood volume may include obtaining a series of measurements of hemoconcentration of a patient over a time period, and estimating parameters for a physiological model based on the series of measurements. The absolute blood volume of the patient may be determined using the physiological model.

Abstract: Hemodialysis is used to remove fluid from a patient suffering from end-stage renal kidney disease. An optimization-based approach including a design of an individualized ultrafiltration rate profile may be used to prevent hematocrit levels from exceeding a threshold, thereby preventing adverse effects in the patient. The individualized ultrafiltration rate profile may be based on previously obtained clinical data for the patient, a volume of fluid to be removed from the patient, a specified period of time for removal of the fluid, or a patient-specific fluid volume model. The ultrafiltration rate profile may be time-variant over the specified period of time.

Abstract: The present invention is generally directed to methods and devices for determining dosing for a medical agent. In some embodiments, a mathematical algorithm is employed for computing erythropoiesis-stimulating agents dosing for treating anemia in a subject, e.g., a human subject. Any suitable dosing may be used, e.g., intravenous, subcutaneous, or oral dosing. In some cases, dosing for a wide range of subject types and health conditions can be achieved using the devices and methods disclosed herein.

Abstract: The present invention is generally directed to methods and devices for determining dosing for a medical agent. In some embodiments, a mathematical algorithm is employed for computing erythropoiesis-stimulating agents dosing for treating anemia in a subject, e.g., a human subject. Any suitable dosing may be used, e.g., intravenous, subcutaneous, or oral dosing. In some cases, dosing for a wide range of subject types and health conditions can be achieved using the devices and methods disclosed herein.

Abstract: A hemodialysis patient data acquisition and management system resides on a host computer which receives information from one or more non-invasive, optical blood monitors associated with a hemodialysis system. When a patient is undergoing hemodialysis treatment, a sensor assembly monitors the patient's blood flowing through the hemodialysis system and a controller for the blood monitor generates data which includes at least an identification code for the patient undergoing the treatment on the respective system, and non-invasively determined blood data taken at the onset of the scheduled treatment, such as initial Hgb, HCT, and SAT values. A host computer communicates with the one or more optical blood monitors, preferably via a wireless network, and the patient's session commencement data is downloaded to the host computer.

Abstract: The present invention is generally directed to methods and devices for determining dosing for a medical agent. In some embodiments, a mathematical algorithm is employed for computing erythropoiesis-stimulating agents dosing for treating anemia in a subject, e.g., a human subject. Any suitable dosing may be used, e.g., intravenous, subcutaneous, or oral dosing. In some cases, dosing for a wide range of subject types and health conditions can be achieved using the devices and methods disclosed herein.