# US 11,026,625 B2 · Systems and methods for treating and estimating progression of chronic kidney disease > Agents: this data is available as JSON from the patentgrep API and MCP server — see https://patentgrep.com/llms.txt - Number: US 11,026,625 B2 - Document ID: US11026625B2 - Status: Granted - Kind: B2 - Application number: 16/058,965 - Filed: 2018-08-08 - Published: 2019-02-14 - Granted: 2021-06-08 - Earliest claimed: 2017-08-08 - Assignees: Fresenius Medical Care Holdings, Inc. - Applicants: Fresenius Medical Care Holdings, Inc. - Inventors: Thomas C. Blanchard; Len Usvyat; Yuedong Wang; Peter Kotanko; Dugan W. Maddux; Franklin W. Maddux - Web page: https://patentgrep.com/patent/US11026625B2 ## CPC - A61B 5/4842: {Monitoring progression or stage of a disease} - A61B 5/201: {Assessing renal or kidney functions} - A61B 5/4839: {combined with drug delivery} - A61B 5/7275: {Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor} - A61B 5/743: {Displaying an image simultaneously with additional graphical information, e.g. symbols, charts, function plots} - A61M 1/1524: {the interface providing means for actuating on functional elements of the cassette, e.g. plungers} - A61M 1/155: {with treatment-fluid pumping means or components thereof} - A61M 1/159: {specially adapted for peritoneal dialysis} - A61M 1/1603: {Regulation parameters} - A61M 1/28: Peritoneal dialysis {; Other peritoneal treatment, e.g. oxygenation} - G16H 20/10: relating to drugs or medications, e.g. for ensuring correct administration to patients - G16H 50/20: for computer-aided diagnosis, e.g. based on medical expert systems - A61M 1/1565: {Details of valves} - A61M 2205/3303: Using a biosensor - Y02A 90/10: Information and communication technologies [ICT] supporting adaptation to climate change, e.g. for weather forecasting or climate simulation - A61B: DIAGNOSIS; SURGERY; IDENTIFICATION (usefulness limited to only animals A61D) - A61M: DEVICES FOR INTRODUCING MEDIA INTO, OR ONTO, THE BODY (introducing media into or onto the bodies of animals A61D7/00; means for inserting tampons A61F13/26; devices for administering food or medicines orally A61J; containers for collecting, storing or administering blood or medical fluids A61J1/05); DEVICES FOR TRANSDUCING BODY MEDIA OR FOR TAKING MEDIA FROM THE BODY (surgery A61B; chemical aspects of surgical articles A61L); DEVICES FOR PRODUCING OR ENDING SLEEP OR STUPOR {(Electrotherapy, e.g. producing anaesthesia by the use of alternating or intermittent currents A61N1/36021)} - G16H: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA - Y02A: TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE ## Abstract Exemplary systems and methods for estimating progression of chronic kidney disease in a patient and applying clinical interventions may include determining historic values of at least one patient parameter that varies as a function of the progression of the chronic kidney disease over time, and computationally estimating a trend corresponding to the historic values. Based on the trend, at least one marker may be automatically provided that identifies a clinical intervention and a time in the future when the clinical intervention is expected to be needed. Based on the at least one marker, clinical preparations may be executed at a time prior to the administration of the intervention in order to improve at least one of a) timeliness of the execution of the intervention and b) effectiveness of the intervention. ## Claims ### Claim 1 A computer-implemented method for administering at least one clinical intervention to treat chronic kidney disease, comprising: accessing historic estimated glomerular filtration rate (eGFR) values of the patient that vary as a function of a progression of the chronic kidney disease over time; determining a trend of a future progression of the chronic kidney disease for the patient based on the historic eGFR values; determining predicted future eGFR values for the patient based on the trend; generating a visual chart configured for presentation on a display of a computing device, the visual chart comprising the historic eGFR values, a trend line corresponding to the trend, and the future eGFR values arranged along the trend line; based on the trend, automatically providing at least one marker on the trend line that identifies the at least one clinical intervention and a time in the future when the at least one clinical intervention is expected to be needed; and based on the at least one marker, administering the at least one clinical intervention to the patient. ### Claim 2 (depends on 1) The method of claim 1, further comprising executing clinical preparations at a time prior to administering the at least one clinical intervention to the patient, wherein the executing clinical preparations includes providing treatment options to the patient and executing the intervention according to a corresponding treatment decision made by the patient. ### Claim 3 (depends on 1) The method of claim 1, wherein the trend is computationally estimated by non-linear regression. ### Claim 4 (depends on 1) The method of claim 1, wherein the trend is computationally estimated by linear regression. ### Claim 5 (depends on 1) The method according to claim 1, wherein the at least one clinical intervention comprises at least one of education, nutritional counseling, vaccinations, referral to nephrology, referral for renal transplant, referral for permanent access, and starting dialysis. ### Claim 6 (depends on 1) The method according to claim 1, further comprising: accessing a database comprising intervention information, the intervention information indicating eGFR values and associated clinical interventions; and providing the at least one marker based on the trend and the intervention information. ### Claim 7 (depends on 1) The method according to claim 1, further comprising determining updated historic eGFR values determined after administration of the at least one clinical intervention. ### Claim 8 (depends on 7) The method according to claim 7, further comprising presenting an updated chart determined based on an updated trend line generated using the updated historical eGFR values. ### Claim 9 (depends on 7) The method according to claim 7, wherein the administration of the at least one clinical intervention causes a change in at least a portion of the predicted eGFR values presented on the updated chart. ### Claim 10 A computer-implemented method for treating progression of chronic kidney disease in a patient, the method comprising, via at least one processor of at least one computing device: accessing historic estimated glomerular filtration rate (eGFR) values of the patient that vary as a function of a progression of the chronic kidney disease over time; determining a trend of a future progression of the chronic kidney disease for the patient based on the historic eGFR values; calculating predicted future eGFR values for the patient based on the trend; accessing a database comprising intervention information, the intervention information indicating eGFR values and associated clinical interventions; based on the trend and the intervention information, automatically providing at least one marker on the trend line that identifies the at least one clinical intervention and a time in the future when the at least one clinical intervention is expected to be needed; and transmitting an alert, determined based on the chart, to a device communicatively coupled to the at least one computing device indicating an upcoming date when the at least one clinical intervention is necessary for the patient. ### Claim 11 (depends on 10) The method according to claim 10, wherein the at least one marker is automatically provided at a location relative to the trend that corresponds to predetermined values of historic eGFR values. ### Claim 12 (depends on 10) The method according to claim 10, wherein the historic eGFR values are determined based on information received from a remote source, the information received being at least one of the historic eGFR values of the patient and data for calculating the historic eGFR values for the patient. ### Claim 13 (depends on 10) The method according to claim 10, wherein the at least one clinical intervention comprises at least one of education, nutritional counseling, vaccinations, referral to nephrology, referral for renal transplant, referral for permanent access, and starting dialysis. ### Claim 14 (depends on 10) The method according to claim 10, further comprising: calculating actual eGFR values for the patient; comparing the actual values to the predicted future values; and adjusting the treatment options in response to a deviation between the actual values and the predicted future values.