Abstract: The present teachings include analyzing oxygen saturation levels sensed during a hemodialysis treatment for a patient to determine whether the patient has a medical condition based on hypoxemia, apnea, or the like experienced during the treatment. To this end, the present teachings may include the use of a machine-learning algorithm trained to identify a presence of a high-frequency intermittent pattern that would be formed in a plot of the oxygen saturation levels, e.g., to determine a severity of respiratory instability experienced. The present teaching may also or instead include a time-series analysis including at least one of: (i) calculating recurrence-based quantification, such as, but not limited to, recurrence rate, determinism, and laminarity; (ii) calculating the optimal recurrence threshold based on maximum variations of the system's determinism and degree of predictability; and (iii) calculating complexity-based measures such as permutation entropy.

Abstract: Techniques and systems for determining an arteriovenous (AV) fistula maturation in a patient may include detecting a first series of oxygen saturation levels of the patient at a central venous catheter (CVC) associated with a first series of hemodialysis treatments prior to the AV fistula implantation are described. The AV fistula may then be implanted in the patient. A second series of oxygen saturation levels of the patient at the CVC associated with a second series of hemodialysis treatments may be detected. The second series of oxygen saturation levels may be compared to a stable threshold mature AV fistula oxygen saturation level. Among other determinations from the comparison, in response to one or more of the second series of oxygen saturation levels meeting or exceeding the stable threshold mature AV fistula oxygen saturation level, determining the AV fistula is mature. Other embodiments are described.

Abstract: 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.

Abstract: 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.

Abstract: A dialysis access site system may operate to generate a treatment recommendation for treating a condition of an access site based on an image of the access site. The dialysis access site system may an apparatus having at least one processor and a memory coupled to the at least one processor. The memory may include instructions that, when executed by the at least one processor, may cause the at least one processor to receive an access site image comprising an image of a dialysis access site of a patient, determine access site information for the dialysis access site based on at least one access site feature determined from the access site image, the access site information indicating a condition of the dialysis access site, and determine a treatment recommendation for the dialysis access site based on the access site information.

Abstract: Techniques and systems for determining an arteriovenous (AV) fistula maturation in a patient may include detecting a first series of oxygen saturation levels of the patient at a central venous catheter (CVC) associated with a first series of hemodialysis treatments prior to the AV fistula implantation are described. The AV fistula may then be implanted in the patient. A second series of oxygen saturation levels of the patient at the CVC associated with a second series of hemodialysis treatments may be detected. The second series of oxygen saturation levels may be compared to a stable threshold mature AV fistula oxygen saturation level. Among other determinations from the comparison, in response to one or more of the second series of oxygen saturation levels meeting or exceeding the stable threshold mature AV fistula oxygen saturation level, determining the AV fistula is mature. Other embodiments are described.