Postreperfusion cardiac arrest and resuscitation during orthotopic liver transplantation: dynamic visualization and analysis of physiologic recordings

Vannucci, Andrea; Burykin, Anton; Krejci, Vladimir; Peck, Tyler; Buchman, Timothy G; Kangrga, Ivan M (2012). Postreperfusion cardiac arrest and resuscitation during orthotopic liver transplantation: dynamic visualization and analysis of physiologic recordings. Shock, 37(1), pp. 34-8. Hagerstown, Md.: Lippincott Williams & Wilkins 10.1097/SHK.0b013e318239b128

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We recently reported on the Multi Wave Animator (MWA), a novel open-source tool with capability of recreating continuous physiologic signals from archived numerical data and presenting them as they appeared on the patient monitor. In this report, we demonstrate for the first time the power of this technology in a real clinical case, an intraoperative cardiopulmonary arrest following reperfusion of a liver transplant graft. Using the MWA, we animated hemodynamic and ventilator data acquired before, during, and after cardiac arrest and resuscitation. This report is accompanied by an online video that shows the most critical phases of the cardiac arrest and resuscitation and provides a basis for analysis and discussion. This video is extracted from a 33-min, uninterrupted video of cardiac arrest and resuscitation, which is available online. The unique strength of MWA, its capability to accurately present discrete and continuous data in a format familiar to clinicians, allowed us this rare glimpse into events leading to an intraoperative cardiac arrest. Because of the ability to recreate and replay clinical events, this tool should be of great interest to medical educators, researchers, and clinicians involved in quality assurance and patient safety.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Intensive Care, Emergency Medicine and Anaesthesiology (DINA) > Clinic and Policlinic for Anaesthesiology and Pain Therapy

UniBE Contributor:

Krejci, Vladimir

ISSN:

1073-2322

Publisher:

Lippincott Williams & Wilkins

Language:

English

Submitter:

Jeannie Wurz

Date Deposited:

04 Oct 2013 14:33

Last Modified:

23 Jan 2018 12:16

Publisher DOI:

10.1097/SHK.0b013e318239b128

PubMed ID:

22089184

Web of Science ID:

000298884900006

URI:

https://boris.unibe.ch/id/eprint/13007 (FactScience: 219508)

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