US 12,251,551 B2
Systems and methods for predicting patient health status
Chen Liu, Danvers, MA (US); Ahmad El Katerji, Danvers, MA (US); and Scott Corbett, Danvers, MA (US)
Assigned to ABIOMED, Inc., Danvers, MA (US)
Filed by ABIOMED, Inc., Danvers, MA (US)
Filed on Aug. 21, 2023, as Appl. No. 18/236,228.
Application 17/724,137 is a division of application No. 16/230,575, filed on Dec. 21, 2018, granted, now 11,338,125, issued on May 24, 2022.
Application 18/236,228 is a continuation of application No. 17/724,137, filed on Apr. 19, 2022, granted, now 11,771,885.
Claims priority of provisional application 62/609,158, filed on Dec. 21, 2017.
Prior Publication US 2024/0042192 A1, Feb. 8, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. A61M 60/50 (2021.01); A61B 5/00 (2006.01); A61M 60/135 (2021.01); A61M 60/139 (2021.01); A61M 60/148 (2021.01); A61M 60/178 (2021.01); A61M 60/205 (2021.01); A61M 60/216 (2021.01); A61M 60/422 (2021.01); A61M 60/531 (2021.01); A61M 60/538 (2021.01); A61M 60/585 (2021.01); A61M 60/816 (2021.01); A61M 60/857 (2021.01); G06N 5/045 (2023.01); G06N 20/00 (2019.01); G16H 20/17 (2018.01); G16H 20/40 (2018.01); G16H 50/00 (2018.01); G16H 50/20 (2018.01)
CPC A61M 60/50 (2021.01) [A61B 5/00 (2013.01); A61M 60/135 (2021.01); A61M 60/139 (2021.01); A61M 60/178 (2021.01); A61M 60/216 (2021.01); A61M 60/422 (2021.01); A61M 60/531 (2021.01); A61M 60/538 (2021.01); A61M 60/585 (2021.01); A61M 60/816 (2021.01); A61M 60/857 (2021.01); G16H 20/17 (2018.01); G16H 20/40 (2018.01); G16H 50/00 (2018.01); G16H 50/20 (2018.01); A61M 60/148 (2021.01); A61M 60/205 (2021.01); A61M 2205/04 (2013.01); A61M 2205/18 (2013.01); A61M 2205/3303 (2013.01); A61M 2205/3365 (2013.01); A61M 2205/50 (2013.01); A61M 2205/502 (2013.01); A61M 2205/52 (2013.01); A61M 2205/584 (2013.01); A61M 2230/06 (2013.01); A61M 2230/20 (2013.01); A61M 2230/208 (2013.01); A61M 2230/30 (2013.01); A61M 2230/43 (2013.01); G06N 5/045 (2013.01); G06N 20/00 (2019.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
acquiring, from an intravascular heart pump system, first data related to time-varying parameters of the heart pump system;
extracting an average left ventricular pressure (LVP) maximum level and an average placement level from the first data, wherein the average placement level is an average aortic pressure or an average differential pressure;
determining, using a prediction model and based on the average LVP maximum level and the average placement level, a prediction value of patient outcome; and
operating the intravascular heart pump system based on the determined prediction value of patient outcome.