Optimized Arterial Line Artifact Identification Algorithm Cleans High-Frequency Arterial Line Data With High Accuracy in Critically Ill Patients.

ABSTRACT: High-frequency data streams of vital signs may be used to generate individualized hemodynamic targets for critically ill patients. Central to this precision medicine approach to resuscitation is our ability to screen these data streams for errors and artifacts. However, there is no consensus on the best method for data cleaning. Our goal was to determine whether an error-checking algorithm developed for intraoperative use could be applied to high volumes of arterial line data in an ICU population.

Design

Multicenter observational study.

Setting

ICUs across Ontario, Canada.

Patients

Nested cohort of ICU patients with shock and/or respiratory failure requiring invasive mechanical ventilation.

Interventions

High-frequency blood pressure data was analyzed. Systolic,

SUBMITTER: Khan JM 

PROVIDER: S-EPMC9762921 | biostudies-literature | 2022 Dec

REPOSITORIES: biostudies-literature