Asian Nurs Res.  2013 Mar;7(1):8-15.

Evaluation of the Clinical Usefulness of Critical Patient Severity Classification System and Glasgow Coma Scale for Neurological Patients in Intensive Care Units

Affiliations
  • 1Department of Nursing, Namseoul University, Chungcheongnam-do, South Korea.
  • 2Department of Emergency Medical Technology, Kangwon National University, Gangwon-do, South Korea. kjh1962@hanmail.net

Abstract

PURPOSE
The purpose of this study was to evaluate the clinical usefulness of the Critical Patient Severity Classification System (CPSCS) and Glasgow Coma Scale (GCS) for critically ill neurological patients and to determine the applicability of CPSCS and GCS in predicting their mortality.
METHODS
Data were collected from the medical records of 187 neurological patients who were admitted to the intensive care unit of C university hospital. The datawere analyzed through chi-square test, t test,Mann-Whitney, Kruskal-Wallis, goodness-of-fit test, and receiver operating characteristic curve.
RESULTS
In accordance with patients' general and clinical characteristics, patient mortality turned out to be significantly different depending on intensive care unit stay, endotracheal intubation, central venous catheter, and severity by CPSCS. Hosmer-Lemeshow goodness-of-fit tests were applied to CPSCS and GCS. The results of the discrimination test using the receiver operating characteristic curve were CPSCS0, .743, GCS0 .583, CPSCS24, .734, GCS24 .612, CPSCS48, .591, GCS48 .646, CPSCS72, .622, and GCS72 .623. Logistic regression analysis showed that each point on the CPSCS score signifies a 1.034 higher likelihood of dying.
CONCLUSION
Applied to neurologically ill patients, early CPSCS scores can be regarded as a useful tool.

Keyword

critical illness; Glasgow Coma Scale; intensive care units; neurology

MeSH Terms

Central Venous Catheters
Critical Illness
Discrimination (Psychology)
Glasgow Coma Scale
Humans
Critical Care
Intensive Care Units
Intubation, Intratracheal
Logistic Models
Medical Records
Neurology
ROC Curve
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