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Critical Care: Sepsis I |

Generalizing Hemodynamic Instability Prediction in International ICU Patients

Krishnamoorthy Palanisamy, PhD; Erina Ghosh, PhD; Vikram Okaly, MD; Meru Patil; Conroy Bryan; Minnan Xu; Eric Carlson, PhD
Author and Funding Information

Philips Research North America, Cambridge, MA


Copyright 2016, American College of Chest Physicians. All Rights Reserved.


Chest. 2016;150(4_S):356A. doi:10.1016/j.chest.2016.08.369
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SESSION TITLE: Sepsis I

SESSION TYPE: Original Investigation Poster

PRESENTED ON: Wednesday, October 26, 2016 at 01:30 PM - 02:30 PM

PURPOSE: Hemodynamic instability indicator (HII) algorithm was developed to predict hemodynamic instability events of the patients few hours before the clinicians identify the HI, using data from US ICUs. Hemodynamic instability events were indicated by low systolic blood pressure (SBP) or fall in the SBP and typical intervention is administration of one of the following drugs- dopamine, dobutamine, epinephrine, norepinephrine, phenylephrine and vasopressin. We tested the algorithm’s performance in predicting hemodynamic instability events (indicated by drug administration) and mortality on Indian ICU patients.

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