Abstract: A treatment system includes a first interface having a first side that includes an adhesive and a second side that includes a first magnet. The first interface is configured to attach to skin of a patient such that the first magnet does not contact the skin. The system also includes a second interface that includes a medical device and a second magnet mounted to the medical device. The second magnet is configured to attach to the first magnet such that the medical device is secured to the patient.

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 tube frame apparatus is disclosed. In one aspect, the tube frame apparatus has a body having a top surface and a plurality of apertures formed in rows therein, the apertures configured to receive strips of tubes, and locking tabs projecting from the top surface that are configured to engage with the strips of tubes. Flanges of the tubes, or optionally connector strips between the tubes, can be engaged by the locking tabs. Tube frame assemblies and methods of holding strips of tubes in tube frame apparatus are provided, as are other aspects.

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 example peritoneal dialysis system is disclosed. The example peritoneal dialysis system includes an automated peritoneal dialysis (“APD”) machine configured to remove ultrafiltrate (“UF”) from a patient and record how much UF has been removed. The APD machine operates according to a prescription to remove the UF. The system also includes a server in communication with the APD machine. The server analyzes the UF data to determine if the prescription is to be modified to compensate for changes to the patient's renal function or renal transport characteristics.

Abstract: An example peritoneal dialysis system is disclosed. The example peritoneal dialysis system includes an automated peritoneal dialysis (“APD”) machine configured to remove ultrafiltrate (“UF”) from a patient and record how much UF has been removed. The APD machine operates according to a prescription to remove the UF. The system also includes a server in communication with the APD machine. The server analyzes the UF data to determine if the prescription is to be modified to compensate for changes to the patient's renal function or renal transport characteristics.

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 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 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: 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: A dialysis method comprising coding a wireless receiver of a dialysis machine with at least one of an address or a personal identification number (“PIN”); and receiving at least one of blood pressure data from a blood pressure monitor wirelessly or patient weight data from a weight scale wirelessly, wherein 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 a receiver of another dialysis machine.

Abstract: In accordance with one aspect of an exemplary embodiment, a dryer for removing hydrocarbons and/or moisture from metal chips is provided. The dryer has a chamber including a top portion and a base portion. The top portion is comprised of a material having a higher emissivity than the material forming the base portion. A burner is provided which introduces heated gas into the top portion. A device for transporting the metal chips is provided in the base portion. The device receives the metal chips at an inlet and transporting the metal chips to an outlet.

Abstract: A peritoneal dialysis system includes an automated peritoneal dialysis (“APD”) machine including a logic implementer and a wireless interface receiver. The system also includes at least one of a scale or a blood pressure monitor including a wireless interface transmitter. The scale or blood pressure monitor is operable to send at least one of patient blood pressure data and patient weight data wirelessly, respectively, to the wireless interface receiver. The logic implementer is configured to store the patient blood pressure data or patient weight data. A server computer is configured to communicate with the logic implementer to receive the stored at least one patient blood pressure data and patient weight data.