Literature DB >> 30213476

Predictive performance of the SOFA and mSOFA scoring systems for predicting in-hospital mortality in the emergency department.

Zahra Rahmatinejad1, Hamidreza Reihani2, Fariba Tohidinezhad1, Fatemeh Rahmatinejad3, Samira Peyravi4, Ali Pourmand5, Ameen Abu-Hanna6, Saeid Eslami7.   

Abstract

BACKGROUND: The Sequential Organ Failure Assessment (SOFA) and modified SOFA (mSOFA) are risk stratification systems which incorporate respiratory, coagulatory, liver, cardiovascular, renal, and neurologic systems to quantify the overall severity of acute disorder in the intensive care unit.
OBJECTIVE: To evaluate the prognostic performance of the SOFA and mSOFA scores at arrival for predicting in-hospital mortality in the emergency department (ED).
METHODS: All adult patients with an Emergency Severity Index (ESI) of 1-3 in the ED of Imam Reza Hospital, northeast of Iran were included from March 2016 to March 2017. The predictive performance of the SOFA or mSOFA scores were expressed in terms of accuracy (Brier Score, BS and Brier Skill Score, BSS), discrimination (Area Under the Receiver Operating Characteristic Curve, AUC), and calibration.
RESULTS: A total of 2205 patients (mean age 61.8 ± 18.5 years, 53% male) were included. The overall in-hospital mortality was 19%. For SOFA and mSOFA the BS was 0.209 and 0.192 and the BSS was 0.11 and 0.09, respectively. The estimated AUCs of SOFA and mSOFA models were 0.751 and 0.739, respectively. No significant difference was observed between the AUCs (P = 0.186). The Hosmer-Lemeshow test did not show that the predictions deviated from the true probabilities. Also, the calibration plots revealed good agreement between the actual and predicted probabilities.
CONCLUSION: The SOFA and mSOFA scores demonstrated fair discrimination and good calibration in predicting in-hospital mortality when applied to ED. However, further external validation studies are needed before their use in routine clinical care.
Copyright © 2018 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Emergency department; Iran; Performance measures; Prognostic models

Year:  2018        PMID: 30213476     DOI: 10.1016/j.ajem.2018.09.011

Source DB:  PubMed          Journal:  Am J Emerg Med        ISSN: 0735-6757            Impact factor:   2.469


  9 in total

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Authors:  Alpha A Fowler; Jonathon D Truwit; R Duncan Hite; Peter E Morris; Christine DeWilde; Anna Priday; Bernard Fisher; Leroy R Thacker; Ramesh Natarajan; Donald F Brophy; Robin Sculthorpe; Rahul Nanchal; Aamer Syed; Jamie Sturgill; Greg S Martin; Jonathan Sevransky; Markos Kashiouris; Stella Hamman; Katherine F Egan; Andrei Hastings; Wendy Spencer; Shawnda Tench; Omar Mehkri; James Bindas; Abhijit Duggal; Jeanette Graf; Stephanie Zellner; Lynda Yanny; Catherine McPolin; Tonya Hollrith; David Kramer; Charles Ojielo; Tessa Damm; Evan Cassity; Aleksandra Wieliczko; Matthew Halquist
Journal:  JAMA       Date:  2019-10-01       Impact factor: 56.272

2.  SOFA Score Plus Impedance Ratio Predicts Mortality in Critically Ill Patients Admitted to the Emergency Department: Retrospective Observational Study.

Authors:  Ashuin Kammar-García; Lilia Castillo-Martínez; Javier Mancilla-Galindo; José Luis Villanueva-Juárez; Anayeli Pérez-Pérez; Héctor Isaac Rocha-González; Jesús Arrieta-Valencia; Miguel Remolina-Schlig; Thierry Hernández-Gilsoul
Journal:  Healthcare (Basel)       Date:  2022-04-27

3.  Association of Early Multiple Organ Dysfunction With Clinical and Functional Outcomes Over the Year Following Traumatic Brain Injury: A Transforming Research and Clinical Knowledge in Traumatic Brain Injury Study.

Authors:  Vijay Krishnamoorthy; Nancy Temkin; Jason Barber; Brandon Foreman; Jordan Komisarow; Fred K Korley; Daniel T Laskowitz; Joseph P Mathew; Adrian Hernandez; John Sampson; Michael L James; Raquel Bartz; Karthik Raghunathan; Benjamin A Goldstein; Amy J Markowitz; Monica S Vavilala
Journal:  Crit Care Med       Date:  2021-10-01       Impact factor: 9.296

4.  Internal Validation of the Predictive Performance of Models Based on Three ED and ICU Scoring Systems to Predict Inhospital Mortality for Intensive Care Patients Referred from the Emergency Department.

Authors:  Zahra Rahmatinejad; Benyamin Hoseini; Fatemeh Rahmatinejad; Ameen Abu-Hanna; Robert Bergquist; Ali Pourmand; MirMohammad Miri; Saeid Eslami
Journal:  Biomed Res Int       Date:  2022-04-25       Impact factor: 3.246

5.  Ability of a modified Sequential Organ Failure Assessment score to predict mortality among sepsis patients in a resource-limited setting.

Authors:  Bodin Khwannimit; Rungsun Bhurayanontachai; Veerapong Vattanavanit
Journal:  Acute Crit Care       Date:  2022-08-04

6.  Crisis Standards of Care in the USA: A Systematic Review and Implications for Equity Amidst COVID-19.

Authors:  Emily C Cleveland Manchanda; Charles Sanky; Jacob M Appel
Journal:  J Racial Ethn Health Disparities       Date:  2020-08-13

7.  Prevalence of organ failure and mortality among patients in the emergency department: a population-based cohort study.

Authors:  Peter Bank Pedersen; Daniel Pilsgaard Henriksen; Mikkel Brabrand; Annmarie Touborg Lassen
Journal:  BMJ Open       Date:  2019-10-30       Impact factor: 2.692

8.  Role of qSOFA and SOFA Scoring Systems for Predicting In-Hospital Risk of Deterioration in the Emergency Department.

Authors:  Raúl López-Izquierdo; Pablo Del Brio-Ibañez; Francisco Martín-Rodríguez; Alicia Mohedano-Moriano; Begoña Polonio-López; Clara Maestre-Miquel; Antonio Viñuela; Carlos Durantez-Fernández; Miguel Á Castro Villamor; José L Martín-Conty
Journal:  Int J Environ Res Public Health       Date:  2020-11-12       Impact factor: 3.390

9.  Predictive value of the sequential organ failure assessment (SOFA) score for prognosis in patients with severe acute ischemic stroke: a retrospective study.

Authors:  Wei Qin; Xiaoyu Zhang; Lei Yang; Yue Li; Shuna Yang; Xuanting Li; Wenli Hu
Journal:  J Int Med Res       Date:  2020-08       Impact factor: 1.671

  9 in total

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