Journal of Isfahan Medical School

Journal of Isfahan Medical School

The Precision of Mortality Prediction by a Novel Checklist (M score) Compared with Well-Known Scoring Systems in Non-trauma Patients in Intensive Care Unit

Document Type : Original Article (s)

Authors
Hosein Mahjobipoor 1
Amir Jahanian 2
1 Assistant Professor, Department of Anesthesiology, School of Medicine AND Anesthesiology and Critical Care Research Center, Isfahan University of Medical Sciences, Isfahan, Iran
2 Student of Medicine, Student Research Committee, School of Medicine, Isfahan University of Medical Sciences, Isfahan, Iran
10.22122/jims.v37i522.11393
Abstract
Background: It seem necessary to assess the precision of scoring systems for estimating disease severity and prognosis of the patients in intensive care units (ICUs). In this study, we aimed to compare the predictive accuracy of a novel checklist (M score) with well-known scoring systems in non-trauma patients in ICU.Methods: Throughout a cross-sectional study in 2018, 835 non-trauma patients admitted in ICU with the age of more than 16 years were included. Mortality prediction was assessed using Acute Physiology and Chronic Health Evaluation II (APACHE II), Sequential Organ Failure Assessment (SOFA), and M score at the first and last day of their ICU stay. Using logistic regression test, receiver operation curve, Pearson’s regression, chi-square, and independent samples t tests, the data from these three scoring systems were analyzed, and the sensitivity and specificity of systems were calculated.Findings: The cut-off point for predicting mortality was 13.5 for APACHE II, 15.5 for M score, and 6.5 for SOFA. The probability of death increased by increasing in any of studied scores.Conclusion: M score, which has been prepared for accurate easement of clinical and paraclinical status of patients by nurses and physicians, seems to be a good corrival for well-known scoring systems.
Keywords
Intensive Care Unit
Mortality
Predictive value of tests
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Journal of Isfahan Medical School
Volume 37, Issue 522 - Serial Number 522
March and April 2019
Pages 342-349

  • Receive Date 21 February 2019
  • Accept Date 06 April 2022