A Novel Electrocardiogram Algorithm Utilizing ST-Segment Instability for Detection of Cardiopulmonary Arrest in Single Ventricle Physiology: A Retrospective Study.

ABSTRACT:

Objective

We evaluated ST-segment monitoring to detect clinical decompensation in infants with single ventricle anatomy. We proposed a signal processing algorithm for ST-segment instability and hypothesized that instability is associated with cardiopulmonary arrests.

Design

Retrospective, observational study.

Setting

Tertiary children's hospital 21-bed cardiovascular ICU and 36-bed step-down unit.

Patients

Twenty single ventricle infants who received stage 1 palliation surgery between January 2013 and January 2014. Twenty rapid response events resulting in cardiopulmonary arrests (arrest group) were recorded in 13 subjects, and nine subjects had no interstage cardiopulmonary arrest (control group).

Interventions

None.

Measurements and main results

SUBMITTER: Vu EL 

PROVIDER: S-EPMC5466171 | biostudies-literature | 2017 Jan

REPOSITORIES: biostudies-literature