Techniques for determining dialysis patient profiles
Inventors
Kotanko, Peter • Tao, Xia • Grobe, Nadja • Dias, Gabriela • Haq, Zahin • Thijssen, Stephan
Assignees
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Publication Number
US-12472291-B2
Publication Date
2025-11-18
Expiration Date
Abstract
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.
Core Innovation
The invention determines a patient profile of a peritoneal dialysis patient by obtaining a volume of fluid associated with the patient and generating patient information via fluorescence analysis of the patient fluid. The patient information is evaluated with a profile library comprising peritoneal equilibration test (PET) information, and the patient profile includes a peritoneal transport status classification.
The fluorescence analysis includes capturing two-dimensional (2D) fluorescence measurements by systematically scanning an excitation wavelength of the patient fluid while a corresponding emission spectra of the patient fluid is captured. Based on the 2D fluorescence measurements, the method generates a 2D correlation map enabling identification of multiple fluorophores in the patient fluid.
The patient profile is generated based on evaluating the patient information with the profile library, and the patient profile is generated via a machine learning computational model configured to provide the patient profile as output based on the patient information as input. The resulting patient profile includes the peritoneal transport status classification derived from the PET information contained in the profile library.
Claims Coverage
Two independent claims are present: a method claim and an apparatus claim. The claims cover three inventive features: fluorescence-based generation of patient information with 2D excitation scanning and emission spectra capture to produce a 2D correlation map, evaluation with a PET-based profile library to determine a patient profile including peritoneal transport status classification, and generation of the patient profile using a machine learning computational model.
Fluorescence-based determination of a peritoneal transport patient profile
Obtaining a volume of fluid associated with a peritoneal 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 comprising peritoneal equilibration test (PET) information, wherein the patient profile comprises a peritoneal transport status classification.
2D excitation scanning with emission spectra capture to create a 2D correlation map
Capturing two-dimensional (2D) fluorescence measurements comprising systematically scanning an excitation wavelength of the patient fluid while a corresponding emission spectra of the patient fluid is captured; and generating, based on the 2D fluorescence measurements, a 2D correlation map enabling identification of multiple fluorophores in the patient fluid.
Machine learning generation of the patient profile
Generating the patient profile via a machine learning computational model configured to provide the patient profile as output based on the patient information as input.
Apparatus for fluorescence profile generation and PET-based profile evaluation
An apparatus comprising processor circuitry and memory with instructions causing the processor circuitry to generate patient information via fluorescence analysis of a patient fluid of a dialysis patient and determine a patient profile of the dialysis patient based on evaluating the patient information with a profile library comprising peritoneal equilibration test (PET) information, wherein the patient profile comprises a peritoneal transport status classification.
The independent claims collectively require fluorescence analysis producing 2D measurements and a 2D correlation map for multiple fluorophores, evaluation against a PET-based profile library to determine a patient profile with a peritoneal transport status classification, and generation of the patient profile using a machine learning computational model, with the apparatus claim reciting processor instructions.
Stated Advantages
Not explicitly described in patent.
Documented Applications
Not explicitly described in patent.
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