Validation of the VitalPAC Early Warning Score at the Intermediate Care Unit

doi:10.5492/wjccm.v7.i3.39

Advanced Search

BPG is committed to discovery and dissemination of knowledge

Home / Archive / Volume 7, Issue 3

This Article

(261)

(380)

(0)

(13)

(2)

(6174)

(12)

Peer-Review Report of This Article

CrossCheck and Google Search of This Article

Academic Rules and Norms of This Article

Citation of this article

Corresponding Author of This Article

Research Domain of This Article

Article-Type of This Article

Open-Access Policy of This Article

Times Cited Counts in Google of This Article

Journal Information of This Article

Publication Name

World Journal of Critical Care Medicine

ISSN

2220-3141

Publisher of This Article

Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

- Full Article with Cover (PDF)
- Full Article (XML)

Evidence-Based Medicine

World J Crit Care Med. Aug 4, 2018; 7(3): 39-45
Published online Aug 4, 2018. doi: 10.5492/wjccm.v7.i3.39

Full Size Figure Download Figure

Figure 1 Frequency of Scores for Separate VitalPAC Early Warning Score Parameters. This figure shows the relative contribution of separate VitalPAC Early Warning Score (ViEWS) Parameters towards the aggregated scores at the Intermediate Care Unit. bpm: Breaths per minute; BP: Blood pressure; CNS: Central nervous system; AVPU: Alert, verbal, pain, unresponsiveness scale.

Citation: Plate JD, Peelen LM, Leenen LP, Hietbrink F. Validation of the VitalPAC Early Warning Score at the Intermediate Care Unit. World J Crit Care Med 2018; 7(3): 39-45
URL: https://www.wjgnet.com/2220-3141/full/v7/i3/39.htm
DOI: https://dx.doi.org/10.5492/wjccm.v7.i3.39

Plate JD, Peelen LM, Leenen LP, Hietbrink F. Validation of the VitalPAC Early Warning Score at the Intermediate Care Unit. World J Crit Care Med 2018; 7(3): 39-45 [PMID: 30090705 DOI: 10.5492/wjccm.v7.i3.39]

All content on this site: Copyright © 1993-2026 Baishideng Publishing Group Inc, its licensors, and contributors. All rights are reserved, including those for text and data mining, AI training, and similar technologies. For all open access content, the relevant licensing terms apply.