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Shunsuke Takaki
Department of Critical Care Medicine, Yokohama City University School of Medicine, Yokohama, Japan
Publications
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Research Article
A New Predictive Model for the Time of Cardiac Arrest in-ICU Palliative Care Patients: A Single Center Retrospective Cohort Study
Author(s): Shunsuke Takaki*
Objective: The aim of this study was to develop a predictive model for the time of cardiac arrest in the palliative care setting in the intensive care unit. Design: We retrospectively collected patients’ data in intensive care unit between 2010 and 2016. Vital signs were collected until cardiac arrest occurred and Systolic Blood Pressure (SBP) was continuously recorded when it was less than 80 mmHg. We hypothesized that a breakdown of the autonomic nervous system was associated with the time of cardiac arrest. We aimed develop predictive model for determine a time at 120 minutes before cardiac arrest. We used the Shock Index (SI) defined as heart rate divided by SBP as the ratio variable to identify an end-of-life phase. Results: A total of 4,330 patients were admitted to the ICU and 19 patients ou.. View more»