US 12,324,687 B1
Predicting chronic kidney disease progression
Douglas S. McNair, Seattle, WA (US)
Assigned to Cerner Innovation, Inc., Kansas City, MO (US)
Filed by CERNER INNOVATION, INC., North Kansas City, MO (US)
Filed on Dec. 19, 2022, as Appl. No. 18/068,223.
Application 18/068,223 is a continuation of application No. 16/731,595, filed on Dec. 31, 2019, granted, now 11,627,917.
Application 16/731,595 is a continuation of application No. 15/276,537, filed on Sep. 26, 2016, granted, now 10,531,837, issued on Jan. 14, 2020.
Claims priority of provisional application 62/232,964, filed on Sep. 25, 2015.
This patent is subject to a terminal disclaimer.
Int. Cl. A61B 5/00 (2006.01); A61B 5/145 (2006.01); A61B 5/20 (2006.01)
CPC A61B 5/7275 (2013.01) [A61B 5/14546 (2013.01); A61B 5/201 (2013.01); A61B 5/4836 (2013.01); A61B 5/4842 (2013.01); A61B 5/4884 (2013.01); A61B 5/7203 (2013.01); A61B 5/7264 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A method for predicting a progression of Chronic Kidney Disease (CKD) in a patient, the method comprising:
measuring one or more physiologic variables of the patient at a plurality of time stamped data points;
administering one or more agents to the patient;
measuring, after a predetermined time period has elapsed, the one or more physiologic variables at one or more post-agent administration of one or more agents time stamped data points;
compiling a serial measurement time series comprising the plurality of time stamped data points and the one or more post-agent administration time stamped data points;
calculating a predicted probability that the one or more agents will retard a progression of an illness;
utilizing the predicted probability, evoking an action corresponding to treatment of the patient.