Abstract: An example peritoneal dialysis system is disclosed. The example peritoneal dialysis system includes at least one pump and a memory device configured to store therapy prescriptions including a low ultrafiltration (“UF”) therapy prescription, a first standard UF therapy prescription with a longer duration and a lower dextrose concentration, and a second standard UF therapy prescription with a shorter duration and a higher dextrose concentration. The memory device also stores a schedule indicative as to which of the therapy prescriptions are to be performed on specified dates. The system further includes a logic implementer configured to determine or identify a current date, use the schedule stored in the memory device to select the therapy prescription based on the current date, and control the at least one pump based on the selected therapy prescription to perform a peritoneal dialysis therapy.

Abstract: An automated peritoneal dialysis system and machine configured to perform dextrose mixing are disclosed. An example dialysis machine includes a pump, a first solution having a first formulation stored in a first container that is placed in fluid communication with the pump, and a second solution having a second formulation stored in a second container that is also placed in fluid communication with the pump. The first container has a first unique identifier indicative of the first formulation and the second container has a second unique identifier indicative of the second formulation. The dialysis machine also includes a logic implementer programmed to receive a therapy prescription and operate the pump if the first formulation indicated by the first unique identifier is specified by the therapy prescription, or the second formulation indicated by the second unique identifier is specified by the therapy prescription.

Abstract: A system is disclosed for the automated collection of dialysis and physiological data. An example system includes a dialysis machine configured to generate dialysis data and a wireless peripheral device configured to generate physiological data. The system also includes a personal digital device including an application configured to communicatively couple to the dialysis machine. The application is further configured to detect being within a wireless range of the wireless peripheral device, pair with the wireless peripheral device, receive the physiological data from the wireless peripheral device, and transmit the received physiological data to the dialysis machine. The dialysis machine is configured to store the received physiological data in conjunction with the dialysis data.

Abstract: A system and method are disclosed for the automated collection of dialysis data. An example method includes receiving and aggregating dialysis data comprising a fill volume amount and a drain volume amount for at least one continuous ambulatory peritoneal dialysis (“CAPD”) cycle. The method also includes calculating an amount of ultrafiltration removed for each CAPD cycle by subtracting the fill volume amount from the drain volume amount for the respective CAPD cycle, and storing ultrafiltration data that is indicative of the amount of ultrafiltration removed as part of the aggregated dialysis data. The method further includes determining or receiving an indication that a dialysis machine is connected. After the dialysis machine is connected, the method includes transmitting the aggregated dialysis data to the dialysis machine to enable the aggregated dialysis data to be combined with additional dialysis data generated by the dialysis machine for determining total dialysis data.

Abstract: An example peritoneal dialysis system is disclosed. The example peritoneal dialysis system includes at least one pump and a memory device configured to store therapy prescriptions including a low ultrafiltration (“UF”) therapy prescription, a first standard UF therapy prescription with a longer duration and a lower dextrose concentration, and a second standard UF therapy prescription with a shorter duration and a higher dextrose concentration. The memory device also stores a schedule indicative as to which of the therapy prescriptions are to be performed on specified dates. The system further includes a logic implementer configured to determine or identify a current date, use the schedule stored in the memory device to select the therapy prescription based on the current date, and control the at least one pump based on the selected therapy prescription to perform a peritoneal dialysis therapy.

Abstract: A system and method are disclosed for the automated collection of dialysis data. An example method includes receiving and aggregating dialysis data comprising a fill volume amount and a drain volume amount for at least one continuous ambulatory peritoneal dialysis (“CAPD”) cycle. The method also includes calculating an amount of ultrafiltration removed for each CAPD cycle by subtracting the fill volume amount from the drain volume amount for the respective CAPD cycle, and storing ultrafiltration data that is indicative of the amount of ultrafiltration removed as part of the aggregated dialysis data. The method further includes determining or receiving an indication that a dialysis machine is connected. After the dialysis machine is connected, the method includes transmitting the aggregated dialysis data to the dialysis machine to enable the aggregated dialysis data to be combined with additional dialysis data generated by the dialysis machine for determining total dialysis data.

Abstract: A method for pairing a dialysis machine with peripheral devices is disclosed. An example method includes receiving, in an intermediate data transfer unit, data related to a patient from at least one of a weight sensor, a blood pressure sensor, or a remote exchange device. The method also includes causing the intermediate data transfer unit to detect a connection of a memory device to a port of the intermediate data transfer unit, and causing the intermediate data transfer unit to store the data to the memory device so that the memory device can be transported to a dialysis machine for transfer of the data from the memory device to the dialysis machine.

Abstract: An automated peritoneal dialysis system and machine configured to perform dextrose mixing are disclosed. An example dialysis machine includes a pump, a first solution having a first formulation stored in a first container that is placed in fluid communication with the pump, and a second solution having a second formulation stored in a second container that is also placed in fluid communication with the pump. The first container has a first unique identifier indicative of the first formulation and the second container has a second unique identifier indicative of the second formulation. The dialysis machine also includes a logic implementer programmed to receive a therapy prescription and operate the pump if the first formulation indicated by the first unique identifier is specified by the therapy prescription, or the second formulation indicated by the second unique identifier is specified by the therapy prescription.

Abstract: An example peritoneal dialysis system is disclosed. The example peritoneal dialysis system includes an automated peritoneal dialysis (“APD”) machine comprising a pumping mechanism and a peritoneal dialysis fluid heater. The example peritoneal dialysis system also includes a disposable set comprising a disposable cassette operable with the pumping mechanism and a heater bag operable with the heater. The example peritoneal dialysis system additionally includes a conductivity sensor positioned and arranged to provide feedback to the APD machine. The example APD machine is configured to mix a peritoneal dialysis fluid for treatment in the heater bag using a plurality of peritoneal dialysis constituent fluids. In addition, the example APD machine is configured to use feedback from the conductivity sensor to evaluate the mixed peritoneal dialysis fluid for treatment.

Abstract: A method for pairing a dialysis machine with peripheral devices is disclosed. An example method includes receiving, in an intermediate data transfer unit, data related to a patient from at least one of a weight sensor, a blood pressure sensor, or a remote exchange device. The method also includes causing the intermediate data transfer unit to detect a connection of a memory device to a port of the intermediate data transfer unit, and causing the intermediate data transfer unit to store the data to the memory device so that the memory device can be transported to a dialysis machine for transfer of the data from the memory device to the dialysis machine.

Abstract: A system and method for pairing a dialysis machine with peripheral devices are disclosed. An example system includes first and second memory devices, a first dialysis machine including a first memory device port configured to be connectable to the first memory device, and a second dialysis machine including a second memory device port configured to be connectable to the second memory device. The system also includes an intermediate data transfer unit including a port configured to connect to the first and the second memory devices to enable data transfer with the respective dialysis machines. The intermediate data transfer unit is configured to receive data from a weight sensor, a blood pressure sensor, or a remote exchange device for a patient and store the data to the first or second memory device to communicate the data to the respective first or second dialysis machine.

Abstract: A dialysis method includes: receiving at least one of blood pressure data from a blood pressure monitor or patient weight data from a weight scale at a dialysis machine at least one of (i) before or (ii) after each treatment performed by the dialysis machine; generating ultrafiltration (“UF”) removed data over a treatment performed by the dialysis machine; sending the UF removed data and at least one of the blood pressure data or the patient weight data to a server; determining at least one of a UF trend, a blood pressure trend or a patient weight trend from the UF removed data, the blood pressure data or the patient weight data, respectively; and displaying at least one of the UF trend, the blood pressure trend or the patient weight trend so that a therapy adjustment can be made if necessary.

Abstract: An example renal therapy system includes a blood pressure monitor configured to output blood pressure data concerning a patient and a renal therapy machine communicatively coupled to the blood pressure monitor. The renal therapy machine is configured to generate ultrafiltration (“UF”) removed data from a prescribed renal therapy treatment performed by the renal therapy machine on the patient, and transmit the UF removed data and the blood pressure data via a network. At least one of a UF trend or a blood pressure trend from the UF removed data or the blood pressure data is determined, enabling a further determination as to at least one of (a) whether a prescribed renal therapy treatment adjustment or a new prescribed renal therapy treatment needs to be made, (b) whether the patient is complying with the prescribed renal therapy treatment, or (c) whether a condition related to an alarm or an alert exists.

Abstract: An example dialysis system includes a dialysis machine and a receiver coded with at least one of an address or a personal identification number (“PIN”). The dialysis machine is configured to perform a prescribed dialysis treatment on a patient, generate ultrafiltration (“UF”) removed data over the prescribed dialysis treatment performed by the dialysis machine, and transmit the UF removed data. The example receiver is configured to receive sensor data from a sensor attached to the patient. The at least one coded address or PIN ensures that the sensor data is received by the receiver as opposed to another receiver.

Abstract: An example peritoneal dialysis system is disclosed. The example peritoneal dialysis system includes an automated peritoneal dialysis (“APD”) machine comprising a pumping mechanism and a peritoneal dialysis fluid heater. The example peritoneal dialysis system also includes a disposable set comprising a disposable cassette operable with the pumping mechanism and a heater bag operable with the heater. The example peritoneal dialysis system additionally includes a conductivity sensor positioned and arranged to provide feedback to the APD machine. The example APD machine is configured to mix a peritoneal dialysis fluid for treatment in the heater bag using a plurality of peritoneal dialysis constituent fluids. In addition, the example APD machine is configured to use feedback from the conductivity sensor to evaluate the mixed peritoneal dialysis fluid for treatment.

Abstract: An example dialysis system includes a dialysis machine and a receiver coded with at least one of an address or a personal identification number (“PIN”). The dialysis machine is configured to perform a prescribed dialysis treatment on a patient, generate ultrafiltration (“UF”) removed data over the prescribed dialysis treatment performed by the dialysis machine, and transmit the UF removed data. The example receiver is configured to receive sensor data from a sensor attached to the patient. The at least one coded address or PIN ensures that the sensor data is received by the receiver as opposed to another receiver.

Abstract: An example dialysis system includes a dialysis machine and a receiver coded with at least one of an address or a personal identification number (“PIN”). The dialysis machine is configured to perform a prescribed dialysis treatment on a patient, generate ultrafiltration (“UF”) removed data over the prescribed dialysis treatment performed by the dialysis machine, and transmit the UF removed data. The example receiver is configured to receive at least one of blood pressure data from a blood pressure monitor or patient weight data from a weight scale. The at least one coded address or PIN ensures that the at least one of the blood pressure data or the patient weight data is received by the receiver as opposed to another receiver.

Abstract: An example renal therapy system includes a blood pressure monitor configured to output blood pressure data concerning a patient and a renal therapy machine communicatively coupled to the blood pressure monitor. The renal therapy machine is configured to generate ultrafiltration (“UF”) removed data from a prescribed renal therapy treatment performed by the renal therapy machine on the patient, and transmit the UF removed data and the blood pressure data via a network. At least one of a UF trend or a blood pressure trend from the UF removed data or the blood pressure data is determined, enabling a further determination as to at least one of (a) whether a prescribed renal therapy treatment adjustment or a new prescribed renal therapy treatment needs to be made, (b) whether the patient is complying with the prescribed renal therapy treatment, or (c) whether a condition related to an alarm or an alert exists.

Abstract: An example dialysis system includes a dialysis machine and a receiver coded with at least one of an address or a personal identification number (“PIN”). The dialysis machine is configured to perform a prescribed dialysis treatment on a patient, generate ultrafiltration (“UF”) removed data over the prescribed dialysis treatment performed by the dialysis machine, and transmit the UF removed data. The example receiver is configured to receive at least one of blood pressure data from a blood pressure monitor or patient weight data from a weight scale. The at least one coded address or PIN ensures that the at least one of the blood pressure data or the patient weight data is received by the receiver as opposed to another receiver.

Abstract: A dialysis machine includes: a source of dialysis solution; a pump configured to pump the dialysis solution; a heater configured to heat the dialysis solution; an electrical input receiving power from a remote power source; and a housing supporting the pump, the heater and the electrical input, the housing including an electrical insulation rated for 240 VAC such that the remote power source can be either 110 or 240 VAC.