Evaluating the Efficacy of the National Early Warning Score in Predicting the Mortality of Stroke Patients Admitted to Intensive Care Units
- PMID: 35991775
- PMCID: PMC9375957
- DOI: 10.5812/aapm-116358
Evaluating the Efficacy of the National Early Warning Score in Predicting the Mortality of Stroke Patients Admitted to Intensive Care Units
Abstract
Background: National Early Warning Score (NEWS) is a tool used to identify patients at risk. Scores are based on initial clinical observations, including heart rate, respiration rate, systolic blood pressure, oxygen saturation, level of consciousness, body temperature, and oxygen support. To date, few studies have been conducted on NEWS evaluation worldwide, and no study has been conducted in Iran.
Objectives: This study aims to evaluate the efficacy of the NEWS in predicting the mortality of stroke patients admitted to intensive care units (ICU).
Methods: The present cross-sectional study included 90 patients with a definitive diagnosis of cerebrovascular accident (CVA) based on symptoms and para-clinical evidence. At the beginning of admission to the ICU and up to first 24 hours of admission, all NEWS parameters were measured and evaluated.
Results: There was a significant relationship between systolic blood pressure, respiratory support, heart rate, and level of consciousness with patients' discharge status. Also, there was no significant relationship between age, sex, respiratory rate, SPO2, and fever with discharge status. In addition, there was a significant relationship between clinical risk based on NEWS scoring system and patients' status.
Conclusions: Our results showed a significant relationship between clinical risk based on NEWS scoring and patients' discharge status so that there was a significant increase in mortality in patients with higher NEWS.
Keywords: Intensive Care Unit; National Early Warning Score; Stroke.
Copyright © 2022, Author(s).
Conflict of interest statement
Conflict of Interests: The authors declare that they have no conflict of interest.
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