Abstract

Objective:

It was aimed to report the Acute Physiology and Chronic Health Evaluation-II (APACHE-II) score, Sequential Organ Failure Assessment (SOFA) score, Glasgow coma scale (GCS), 4C mortality score and the coronavirus disease-2019 (COVID-19) Reporting and Data System (CO-RADS) in predicting the outcome of critically ill COVID-19 patients.

Materials and Methods:

Patients with laboratory-confirmed COVID-19 infection or clinical and radiological confirmed COVID-19 infection who were admitted to adult intensive care unit (ICU) were included. Clinical characteristics, outcomes, APACHE-II score, SOFA score, International Severe Acute Respiratory and Emerging Infections Consortium/World Health Organization 4C mortality score and CO-RADS classification were reported at admission.

Results:

Two hundred seventy six patients were included in this study. The mean age was higher in non-survivor patients. The most common cause of hospitalization was respiratory failure (67%). The common co-morbidities were hypertension (51.8%), cardiac disease (43.4%) and diabetes (33.6%). Organ failure was present in 61.5% of the patients. The mean APACHE-II, SOFA, GCS and 4C mortality scores were higher in non-survivor patients. 4C mortality and SOFA scores showed higher predictive accuracy for mortality with an area under the curve 0.736 and 0.706, respectively. 4C mortality had sensitivity of 78.9% and specificity of 58.1% whereas of SOFA had a sensitivity of 78.9% and a specificity of 53.3%.

Conclusion:

4C mortality and SOFA scores could be a predictors of mortality in COVID-19 patients in the ICU.

Keywords: COVID-19, intensive care, CO-RADS classification, 4C mortality score, SOFA score, APACHE-II score

References

  1. Knaus WA, Draper EA, Wagner DP, Zimmerman JE. APACHE II: a severity of disease classification system. Crit Care Med 1985;13:818-29.
  2. Vincent JL, de Mendonça A, Cantraine F, Moreno R, Takala J, Suter PM, et al. Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on “sepsis-related problems” of the European Society of Intensive Care Medicine. Crit Care Med 1998;26:1793-800.
  3. Yang Z, Hu Q, Huang F, Xiong S, Sun Y. The prognostic value of the SOFA score in patients with COVID-19: A retrospective, observational study. Medicine (Baltimore) 2021;100:e26900.
  4. Raschke RA, Agarwal S, Rangan P, Heise CW, Curry SC. Discriminant Accuracy of the SOFA Score for Determining the Probable Mortality of Patients With COVID-19 Pneumonia Requiring Mechanical Ventilation. JAMA 2021;325:1469-70.
  5. Wynants L, Van Calster B, Collins GS, Riley RD, Heinze G, Schuit E, et al. Prediction models for diagnosis and prognosis of covid-19: systematic review and critical appraisal. BMJ 2020;369:m1328.
  6. Knight SR, Ho A, Pius R, Buchan I, Carson G, Drake TM, et al. Risk stratification of patients admitted to hospital with covid-19 using the ISARIC WHO Clinical Characterisation Protocol: development and validation of the 4C Mortality Score. BMJ 2020;370:m3339.
  7. Jehi L, Ji X, Milinovich A, Erzurum S, Rubin BP, Gordon S, et al. Individualizing Risk Prediction for Positive Coronavirus Disease 2019 Testing: Results From 11,672 Patients. Chest 2020;158:1364-75.
  8. Majidi H, Niksolat F. Chest CT in patients suspected of COVID-19 infection: A reliable alternative for RT-PCR. Am J Emerg Med 2020;38:2730-2.
  9. Prokop M, van Everdingen W, van Rees Vellinga T, Quarles van Ufford H, Stöger L, Beenen L, et al. CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation. Radiology 2020;296:E97-104.
  10. World Health Organization. Coronavirus disease (Covid-19) technical guidance: laboratory testing for 2019-nCoV in humans
  11. C. Ministry of Health general directorate of public health, Covid-19 (SARS-CoV-2 infection) guide: Ankara.
  12. Petrilli CM, Jones SA, Yang J, Rajagopalan H, O’Donnell L, Chernyak Y, et al. Factors associated with hospital admission and critical illness among 5279 people with coronavirus disease 2019 in New York City: prospective cohort study. BMJ 2020;369:m1966.
  13. ICNARC report on Covid-19 in critical care: England, Wales and Northern Ireland.
  14. Xie J, Wu W, Li S, Hu Y, Hu M, Li J, et al. Clinical characteristics and outcomes of critically ill patients with novel coronavirus infectious disease (COVID-19) in China: a retrospective multicenter study. Intensive Care Med 2020;46:1863-72.
  15. Mokhtari T, Hassani F, Ghaffari N, Ebrahimi B, Yarahmadi A, Hassanzadeh G. COVID-19 and multiorgan failure: A narrative review on potential mechanisms. J Mol Histol 2020;51:613-28.
  16. Covid-19 coronavirus pandemic. Available from: URL: https://www.worldometers.info/coronavirus. Accessed October 21, 2021.
  17. Yang X, Yu Y, Xu J, Shu H, Xia J, Liu H, et al. Clinical course and outcomes of critically ill patients with SARS-CoV-2 pneumonia in Wuhan, China: a single-centered, retrospective, observational study. Lancet Respir Med 2020;8:475-81.
  18. Zou X, Li S, Fang M, Hu M, Bian Y, Ling J, et al. Acute Physiology and Chronic Health Evaluation II Score as a Predictor of Hospital Mortality in Patients of Coronavirus Disease 2019. Crit Care Med 2020;48:e657-65.
  19. Stephens JR, Stümpfle R, Patel P, Brett S, Broomhead R, Baharlo B, et al. Analysis of Critical Care Severity of Illness Scoring Systems in Patients With Coronavirus Disease 2019: A Retrospective Analysis of Three U.K. ICUs. Crit Care Med 2021;49:e105-7.
  20. Vandenbrande J, Verbrugge L, Bruckers L, Geebelen L, Geerts E, Callebaut I, et al. Validation of the Acute Physiology and Chronic Health Evaluation (APACHE) II and IV Score in COVID-19 Patients. Crit Care Res Pract 2021;2021:5443083.
  21. Zhou F, Yu T, Du R, Fan G, Liu Y, Liu Z, et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 2020;395:1054-62.
  22. Wellbelove Z, Walsh C, Perinpanathan T, Lillie P, Barlow G. Comparing the 4C mortality score for COVID-19 to established scores (CURB65, CRB65, qSOFA, NEWS) for respiratory infection patients. J Infect 2021;82:414-51.
  23. Yildiz H, Castanares-Zapatero D, Hannesse C, Vandermeersch D, Pothen L, Yombi JC. Prospective validation and comparison of COVID-GRAM, NEWS2, 4C mortality score, CURB-65 for the prediction of critical illness in COVID-19 patients. Infect Dis (Lond) 2021;53:640-2.
  24. Bhattacharjee A, Maji Rabi L, Gantait K, Elango A, Ghosh S. CT severity score and ABG analysis are the good predictors of mortality in patients with Covid-19 in the tertiary care facility. IOSR Journal of Dental and Medical Sciences 2021;20:51-7.
  25. Van Berkel B, Vandevenne J, Coursier K, Alberts V, Van Offenwert J, Verduyckt J, et al. Chest CT Diagnosis of COVID-19: Accuracy using CO-RADS and CT-Involvement Scoring. J Belg Soc Radiol 2021;105:17.

How to cite?

1.
Sungurtekin H, Sargın F, Kılınç M, Kahramanoğlu M, Akbulut M, Ayoğlu F, et al. Usefulness of APACHE-II, SOFA, ISARIC/WHO 4C Mortality Score and CO-RADS for Mortality Prediction of Critically Ill Coronavirus Disease-2019 Patients. Turk J Intensive Care. 2023;21(2):100-109. https://doi.org/10.4274/tybd.galenos.2022.77598