IP Library Granted Patent US 12,343,464
Granted Patent B2
US 12,343,464 · App. 17/162,012 · Granted Jul 1, 2025

Techniques for determining dialysis patient profiles

Inventors: Nadja Grobe (Huntington, NY); Peter Kotanko (New York, NY); Xia Tao (West New York, NJ); Stephan Thijssen (New York, NY)
Assignee: Fresenius Medical Care Holdings, Inc.
A61M1/1619A61M1/159A61M1/1609A61M1/1613A61M1/28A61M1/152A61M1/155A61M2205/3313A61M2205/3379A61M2205/50A61M2205/52A61M2210/1017G01N30/7233G16H10/40
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Quick Facts
Patent No.
US 12,343,464
App. No.
17/162,012
Granted
Jul 1, 2025
Kind
B2
Abstract

Methods, apparatuses, and systems for determining a peritoneal transport status of a patient based on mass analyzing low volumes of peritoneal dialysis (PD) effluent to generate patient information that may be evaluated using PD effluent fingerprints to determine peritoneal transport characteristics of the patient are described. For example, in one embodiment, a method of determining a transport status of a dialysis patient may include obtaining a volume of peritoneal dialysis (PD) effluent of the dialysis patient, generating patient information via mass analysis of the volume of PD effluent, and determining patient profile information based on evaluating the patient information with a profile library, the patient profile information comprising a peritoneal transport status classification. Other embodiments are described.

Claims (26)

1. A method of determining a peritoneal transport status classification of a dialysis patient, the method comprising:

performing a dialysis treatment on the dialysis patient based on the peritoneal transport status classification determined via:

obtaining a volume of peritoneal dialysis (PD) effluent of the dialysis patient;

generating patient information via mass analysis of the volume of PD effluent of the dialysis patient; and

determining patient profile information of the dialysis patient based on comparing the patient information with a profile library of mass analysis information of a population of patients with known peritoneal transport status classifications that are used as a baseline to determine the patient profile information, the patient profile information comprising the peritoneal transport status classification for the dialysis patient, the mass analysis information of the population of patients including mass analyses of corresponding volumes of PD effluent for each of the patients in the population, the mass analysis for each of the patients in the population being repeated in a periodic manner over a predetermined time period.

2. The method of claim 1 , the mass analysis comprising one of liquid chromatography-mass spectrometry (LC-MS) or mass spectrometry (MS).

3. The method of claim 1 , further comprising obtaining the volume during an earlier dialysis treatment of the dialysis patient.

4. The method of claim 1 , the volume comprising less than or equal to 1 milliliter (ml).

5. The method of claim 1 , the volume comprising 0.005 ml.

6. The method of claim 1 , the peritoneal transport status classification comprising classifications of high, high-average, low-average, or low transporters based on solute transport characteristics.

7. The method of claim 1 , further comprising determining a dialysis prescription based on the peritoneal transport status classification.

8. The method of claim 1 , the profile library comprising a plurality of molecular fingerprints associated with a peritoneal transport status classification.

9. The method of claim 1 , the profile library comprising mass analysis information for a plurality of unknown metabolites.

10. An apparatus, comprising:

at least one memory unit, the at least one memory unit storing:

instructions;

patient information generated via mass analysis of a volume of peritoneal dialysis (PD) effluent of a dialysis patient; and

a profile library of mass analysis information of patients with known peritoneal transport status classifications, the profile library including mass analysis information for a plurality of unknown metabolites; and

processor circuitry coupled to the at least one memory unit, the processor circuitry to execute the instructions to:

determine patient profile information based on comparing at least one unknown metabolite in the patient information with at least one of the plurality of unknown metabolites of the profile library, the patient profile information comprising a peritoneal transport status classification.

11. The apparatus of claim 10 , the mass analysis comprising one of liquid chromatography-mass spectrometry (LC-MS) or mass spectrometry (MS).

12. The apparatus of claim 10 , the volume obtained during routine dialysis of the dialysis patient.

13. The apparatus of claim 10 , the volume comprising less than or equal to 1 milliliter (ml).

14. The apparatus of claim 10 , the volume comprising 0.005 ml.

15. The apparatus of claim 10 , the peritoneal transport status classification comprising classifications of high, high-average, low-average, or low transporters based on solute transport characteristics.

16. The apparatus of claim 10 , the profile library comprising a plurality of molecular fingerprints associated with a peritoneal transport status classification.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 28, 2021
From: GROBE, NADJA; KOTANKO, PETER; TAO, XIA; THIJSSEN, STEPHAN
To: FRESENIUS MEDICAL CARE HOLDINGS, INC.
Reel/Frame 056068/0610 →
Continuity (2)
Provisional Application 62967743 · Jan 30, 2020
Related Publication 20210236705A1 · Aug 5, 2021
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