Cargando…
Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients
Objective: Prediction of survival and mortality rates in costly environments such as the intensive care unit (ICU) is of great importance for the assessment of new treatments, resource consumption control, and improvement of quality control. This study aimed to determine the ability to predict morta...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Tehran University of Medical Sciences
2014
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359415/ https://www.ncbi.nlm.nih.gov/pubmed/25793069 |
_version_ | 1782361401539428352 |
---|---|
author | Khajeh, Ali Fayyazi, Afshin Miri-Aliabad, Ghasem Askari, Hasan Noori, Noormohammad Khajeh, Behrouz |
author_facet | Khajeh, Ali Fayyazi, Afshin Miri-Aliabad, Ghasem Askari, Hasan Noori, Noormohammad Khajeh, Behrouz |
author_sort | Khajeh, Ali |
collection | PubMed |
description | Objective: Prediction of survival and mortality rates in costly environments such as the intensive care unit (ICU) is of great importance for the assessment of new treatments, resource consumption control, and improvement of quality control. This study aimed to determine the ability to predict mortality and discharge rate of patients using the FOUR score in the pediatric ICU (PICU) of Ali Ibn Abitalib Hospital, Zahedan and compare the results with those of Glasgow Coma Scale (GCS). Methods: This prospective study was conducted on 200 patients admitted to the PICU. Convenience purposive sampling was used. Research data was collected using the Full Outline of Unresponsiveness (FOUR) score and GCS using questionnaires. Obtained data was analyzed with SPSS 16 using descriptive statistics and correlation analyses. Findings: Of the 200 children admitted to the PICU, 71.5% and 28.5% were discharged and died, respectively. The inter-rater reliability for the FOUR score was good to excellent (weighted κ: eye, 0.72; respiration, 0.82; brainstem, 0.74; motor, 0.78), In terms of mortality and discharge prediction, logistic regression analyses (FOUR score = OR: 0.13; 95% CI: 0.06–0.29; P<0.001; GCS=OR: 2.49; 95% CI: 1.44–4.32; P<0.001) showed that the FOUR score is a good predictor for in-hospital mortality. Conclusion: Results indicated that the FOUR score is more capable than GCS in predicting the mortality and discharge of patients admitted to the PICU. |
format | Online Article Text |
id | pubmed-4359415 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Tehran University of Medical Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-43594152015-03-19 Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients Khajeh, Ali Fayyazi, Afshin Miri-Aliabad, Ghasem Askari, Hasan Noori, Noormohammad Khajeh, Behrouz Iran J Pediatr Original Article Objective: Prediction of survival and mortality rates in costly environments such as the intensive care unit (ICU) is of great importance for the assessment of new treatments, resource consumption control, and improvement of quality control. This study aimed to determine the ability to predict mortality and discharge rate of patients using the FOUR score in the pediatric ICU (PICU) of Ali Ibn Abitalib Hospital, Zahedan and compare the results with those of Glasgow Coma Scale (GCS). Methods: This prospective study was conducted on 200 patients admitted to the PICU. Convenience purposive sampling was used. Research data was collected using the Full Outline of Unresponsiveness (FOUR) score and GCS using questionnaires. Obtained data was analyzed with SPSS 16 using descriptive statistics and correlation analyses. Findings: Of the 200 children admitted to the PICU, 71.5% and 28.5% were discharged and died, respectively. The inter-rater reliability for the FOUR score was good to excellent (weighted κ: eye, 0.72; respiration, 0.82; brainstem, 0.74; motor, 0.78), In terms of mortality and discharge prediction, logistic regression analyses (FOUR score = OR: 0.13; 95% CI: 0.06–0.29; P<0.001; GCS=OR: 2.49; 95% CI: 1.44–4.32; P<0.001) showed that the FOUR score is a good predictor for in-hospital mortality. Conclusion: Results indicated that the FOUR score is more capable than GCS in predicting the mortality and discharge of patients admitted to the PICU. Tehran University of Medical Sciences 2014-10 2014-09-12 /pmc/articles/PMC4359415/ /pubmed/25793069 Text en Copyright © 2014 by Pediatrics Center of Excellence, Children’s Medical Center, Tehran University of Medical Sciences, All rights reserved This is an Open Access article distributed under the terms of the Creative Commons Attribution License, (http://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Khajeh, Ali Fayyazi, Afshin Miri-Aliabad, Ghasem Askari, Hasan Noori, Noormohammad Khajeh, Behrouz Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients |
title | Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients |
title_full | Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients |
title_fullStr | Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients |
title_full_unstemmed | Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients |
title_short | Comparison between the Ability of Glasgow Coma Scale and Full Outline of Unresponsiveness Score to Predict the Mortality and Discharge Rate of Pediatric Intensive Care Unit Patients |
title_sort | comparison between the ability of glasgow coma scale and full outline of unresponsiveness score to predict the mortality and discharge rate of pediatric intensive care unit patients |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4359415/ https://www.ncbi.nlm.nih.gov/pubmed/25793069 |
work_keys_str_mv | AT khajehali comparisonbetweentheabilityofglasgowcomascaleandfulloutlineofunresponsivenessscoretopredictthemortalityanddischargerateofpediatricintensivecareunitpatients AT fayyaziafshin comparisonbetweentheabilityofglasgowcomascaleandfulloutlineofunresponsivenessscoretopredictthemortalityanddischargerateofpediatricintensivecareunitpatients AT mirialiabadghasem comparisonbetweentheabilityofglasgowcomascaleandfulloutlineofunresponsivenessscoretopredictthemortalityanddischargerateofpediatricintensivecareunitpatients AT askarihasan comparisonbetweentheabilityofglasgowcomascaleandfulloutlineofunresponsivenessscoretopredictthemortalityanddischargerateofpediatricintensivecareunitpatients AT noorinoormohammad comparisonbetweentheabilityofglasgowcomascaleandfulloutlineofunresponsivenessscoretopredictthemortalityanddischargerateofpediatricintensivecareunitpatients AT khajehbehrouz comparisonbetweentheabilityofglasgowcomascaleandfulloutlineofunresponsivenessscoretopredictthemortalityanddischargerateofpediatricintensivecareunitpatients |