Dynamic and Personalized Risk Forecast in Step-Down Units. Implications for Monitoring Paradigms.

ABSTRACT:

Rationale

Cardiorespiratory insufficiency (CRI) is a term applied to the manifestations of loss of normal cardiorespiratory reserve and portends a bad outcome. CRI occurs commonly in hospitalized patients, but its risk escalation patterns are unexplored.

Objectives

To describe the dynamic and personal character of CRI risk evolution observed through continuous vital sign monitoring of individual step-down unit patients.

Methods

Using a machine learning model, we estimated risk trends for CRI (defined as exceedance of vital sign stability thresholds) for each of 1,971 admissions (1,880 unique patients) to a 24-bed adult surgical trauma step-down unit at an urban teaching hospital in Pittsburgh, Pennsylvania using continuously recorded vital signs from standard bedside

SUBMITTER: Chen L 

PROVIDER: S-EPMC5427723 | biostudies-literature | 2017 Mar

REPOSITORIES: biostudies-literature