(K114) Use of the Visensia (Biosign) System Improves Emergency Department Trauma Triage: A Cluster Analysis with Outcomes

Abstract

Introduction:

Triage criteria rely on physiologic, anatomic, and mechanistic indicators of injury to minimize over-triage and under-triage, which remain persistendy high (35%—65%). The Visensia Index Score (VIS) is a proprietary algorithm in a bedside monitor (OBS Medical, IN) mat integrates five vital signs: (1) heart rate; (2) respiratory rate; (3) blood pressure; (4) pulse oximetry; and (5) temperature. It calculates a score ranging from 1 (no abnormality) to 5 (severe abnormalities). The aim of this study was to explore the utility of VIS in identifying trauma patients likely to have a poor prognosis on arrival to the emergency departments.

Methods:

After Institutional Review Board approval, the trauma registry was used to review 117 patients admitted to a Level-1 Trauma Center over a six month period. The first set of vital signs was obtained upon arrival to the emergency department. An initial VIS and a mean VIS (based on multiple VS) was calculated. The analysis included a multivariate mathematical technique and k-means cluster analysis. Clusters of populations with different Visensia scores were compared and differences in their outcomes were analyzed.

Results:

Two major clusters were identified: VIS Scores >3 increased the risk of mortality as compared to those with scores <3; odds ratio 3.3 [1.04–10.3; p <0.001). There was no association with length of intensive care unit stay, hospital days; or Injury Severity Scale (ISS) scores.

Conclusions:

Cluster analysis, a novel multidimensional approach, shows association of a higher VIS (>3) as a useful point-of-care parameter to identify trauma patients likely to have a poorer prognosis, much more than retrospectively computed ISS and Trauma and Injury Severity Scores (TRISS).