US 12,343,464 B2
Techniques for determining dialysis patient profiles
Nadja Grobe, Huntington, NY (US); Peter Kotanko, New York, NY (US); Xia Tao, West New York, NJ (US); and Stephan Thijssen, New York, NY (US)
Assigned to Fresenius Medical Care Holdings, Inc., Waltham, MA (US)
Filed by Fresenius Medical Care Holdings, Inc., Waltham, MA (US)
Filed on Jan. 29, 2021, as Appl. No. 17/162,012.
Claims priority of provisional application 62/967,743, filed on Jan. 30, 2020.
Prior Publication US 2021/0236705 A1, Aug. 5, 2021
Int. Cl. A61M 1/16 (2006.01); A61M 1/14 (2006.01); A61M 1/28 (2006.01); G01N 30/72 (2006.01); G16H 10/40 (2018.01)
CPC A61M 1/1619 (2014.02) [A61M 1/159 (2022.05); A61M 1/1609 (2014.02); A61M 1/1613 (2014.02); A61M 1/28 (2013.01); A61M 1/152 (2022.05); A61M 1/155 (2022.05); A61M 2205/3313 (2013.01); A61M 2205/3379 (2013.01); A61M 2205/50 (2013.01); A61M 2205/52 (2013.01); A61M 2210/1017 (2013.01); G01N 30/7233 (2013.01); G16H 10/40 (2018.01)] 16 Claims
OG exemplary drawing
 
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.
 
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.