Cover image of the article: Comparison of acute physiology and chronic health evaluation II and simplified acute physiology score II in predicting mortality in intensive care unit

Image Credit:J Inflamm Dis

Comparison of acute physiology and chronic health evaluation II and simplified acute physiology score II in predicting mortality in intensive care unit

Authors

S Yaqubi, J Ghasemi,*, T Karimzadeh,**, N Mohammadi, E Arfaee, A Mohammadi
Corresponding Authors:

Journal of Inflammatory Diseases:Vol. 17, issue 5; 39-46
Published online:Feb 13, 2014
Article type:Research Article
How to Cite:Yaqubi S, Ghasemi J, Karimzadeh T, Mohammadi N, Arfaee E, et al. Comparison of acute physiology and chronic health evaluation II and simplified acute physiology score II in predicting mortality in intensive care unit. J Inflamm Dis. 2024;17(5):e155781. doi:

Abstract

  Background: Scoring systems have been developed to predict outcomes in the critical patients and to facilitate the decision making and resource allocation for management of such patients.   Objective: The aim of this study was to compare Acute Physiology and Chronic Health Evaluation II (APACHE II) and Simplified Acute Physiology Score II (SAPS II) in predicting hospital mortality of intensive care unit patients .   Methods: This cross-sectional study was conducted on 88 patients admitted to the intensive care unit because of trauma or surgery in Shahid Rajaee hospital, Qazvin 2008. During the first 24 hours of admission, the results of clinical examination and biochemical assays and demographic information were collected to complete each of the scoring systems. Observed mortality and predicted mortality were recorded and compared. Detection value of scoring systems was assessed by Receiver Operating Characteristic (ROC) curves and data were analyzed using logistic regression analysis and Chi-Square test.   Findings: M ean age of patients was 44.25 ± 23.09 years ( 2 to 86 years ). Observed mortality in ICU was 32.5% and predicted mortalities were 23.63±24.2% and 19.88±15.1% according to SAPS II and APACHE II, respectively. There was positive significant correlation between SAPS II and APACHE II scoring systems and between these two scoring systems and observed mortality. There was also positive significant correlation between SAPS II and APACHE II values and GCS score. Area under the ROC curve (AUC) of APACHE II was greater than SAPS II for predicting observed mortality (0.823 vs. 0.790).   Conclusion: With regards to the results, both APACHE II and SAPS II scoring systems can be used to predict mortality of intensive care unit patients, but not to help in definite decision-making.        

Highlights

Copyright

© 2024, Journal of Inflammatory Diseases. This open-access article is available under the Creative Commons Attribution-NonCommercial 4.0 (CC BY-NC 4.0) International License (https://creativecommons.org/licenses/by-nc/4.0/), which allows for the copying and redistribution of the material only for noncommercial purposes, provided that the original work is properly cited.

Similar Articles

28
Sep
2015
Comparison of two tools APACHE IV and SAPS II in predicting mortality rate in patients hospitalized in intensive care unit

Comparison of two tools APACHE IV and SAPS II in predicting mortality rate in patients hospitalized in intensive care unit

Kian Norouzi,
Zohreh Mashmool,
Asghar Dalvandi,
Mohammadali Soleimani

Norouzi K, Mashmool Z, Dalvandi A, Soleimani M. Comparison of two tools APACHE IV and SAPS II in predicting mortality rate in patients hospitalized in intensive care unit. koomesh. 2015;16(3):e151258. doi:

28
May
2014
Evaluation of patient mortality in intensive care units using the APACHE IIscoring system

Evaluation of patient mortality in intensive care units using the APACHE IIscoring system

Mohsen Soleimani,
mohammaeza rajabi,
A. li Imani,
Samira Bagheri,
HassanAli Jafarpour,
Fatemeh Tangestani

Soleimani M, rajabi M, Imani AL, Bagheri S, Jafarpour H, et al. Evaluation of patient mortality in intensive care units using the APACHE IIscoring system. koomesh. 2014;15(3):e152646. doi:

1
Nov
2013
Comparison of Acute Physiology and Chronic Health Evaluation Score with Glasgow Coma Scale for predicting hospital mortality in neurosurgical patients

Comparison of Acute Physiology and Chronic Health Evaluation Score with Glasgow Coma Scale for predicting hospital mortality in neurosurgical patients

M Molavi,
H Kayalha,
A Seddighi

Molavi M, Kayalha H, Seddighi A. Comparison of Acute Physiology and Chronic Health Evaluation Score with Glasgow Coma Scale for predicting hospital mortality in neurosurgical patients. J Inflamm Dis. 2024;17(3):e155770. doi:

2
Feb
2021
The Use of APACHE II Scoring System for Predicting Clinical Outcome of Patients Admitted to the Intensive Care Unit: A Report From a Resource-Limited Center

The Use of APACHE II Scoring System for Predicting Clinical Outcome of Patients Admitted to the Intensive Care Unit: A Report From a Resource-Limited Center

Maryam Farajzadeh,
Elham Nasrollahi,
Yaser Bahramvand,
Vahid Mohammadkarimi,
Behnam Dalfardi,
Amir Anushiravani

Farajzadeh M, Nasrollahi E, Bahramvand Y, Mohammadkarimi V, Dalfardi B, et al. The Use of APACHE II Scoring System for Predicting Clinical Outcome of Patients Admitted to the Intensive Care Unit: A Report From a Resource-Limited Center. Shiraz E-Med J. 2021;22(5):e102858. doi: https://doi.org/10.5812/semj.102858

31
Jul
2013
Efficiency of SOFA scoring system on predicting mortality rate and stay length in intensive care unit for patients of Al-Zahra hospital of Isfahan

Efficiency of SOFA scoring system on predicting mortality rate and stay length in intensive care unit for patients of Al-Zahra hospital of Isfahan

mahbobeh mohammady

mohammady M. Efficiency of SOFA scoring system on predicting mortality rate and stay length in intensive care unit for patients of Al-Zahra hospital of Isfahan. Med Surg Nurs J. 2013;1(2):e87468. doi:

More by these authors

J GhasemiPubMedScholar
T KarimzadehPubMedScholar
N MohammadiPubMedScholar
A MohammadiPubMedScholar
Share
Cited by
Metrics