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Predictive Value of Sequential Organ Failure Assessment, Quick Sequential Organ Failure Assessment, Acute Physiology and Chronic Health Evaluation II, and New Early Warning Signs Scores Estimate Mortality of COVID-19 Patients Requiring Intensive Care Unit.
Asmarawati, Tri Pudy; Suryantoro, Satriyo Dwi; Rosyid, Alfian Nur; Marfiani, Erika; Windradi, Choirina; Mahdi, Bagus Aulia; Sutanto, Heri.
  • Asmarawati TP; Department of Internal Medicine, Universitas Airlangga, Faculty of Medicine, Surabaya, East Java, Indonesia.
  • Suryantoro SD; Department of Internal Medicine, Universitas Airlangga, Faculty of Medicine, Surabaya, East Java, Indonesia.
  • Rosyid AN; Department of Pulmonary and Respiratory Medicine, Universitas Airlangga, Surabaya, East Java, Indonesia.
  • Marfiani E; Department of Internal Medicine, Universitas Airlangga, Faculty of Medicine, Surabaya, East Java, Indonesia.
  • Windradi C; Department of Internal Medicine, Universitas Airlangga, Faculty of Medicine, Surabaya, East Java, Indonesia.
  • Mahdi BA; Department of Internal Medicine, Universitas Airlangga, Faculty of Medicine, Surabaya, East Java, Indonesia.
  • Sutanto H; Department of Internal Medicine, Brawijaya University, Malang, Jawa Timur, Indonesia.
Indian J Crit Care Med ; 26(4): 464-471, 2022.
Article in English | MEDLINE | ID: covidwho-1869983
ABSTRACT

Introduction:

Various mortality predictive score models for coronavirus disease-2019 (COVID-19) have been deliberated. We studied how sequential organ failure assessment (SOFA), quick sequential organ failure assessment (qSOFA), acute physiology and chronic health evaluation II (APACHE II), and new early warning signs (NEWS-2) scores estimate mortality in COVID-19 patients. Materials and

methods:

We conducted a prospective cohort study of 53 patients with moderate-to-severe COVID-19. We calculated qSOFA, SOFA, APACHE II, and NEWS-2 on initial admission and re-evaluated on day 5. We performed logistic regression analysis to differentiate the predictors of qSOFA, SOFA, APACHE II, and NEWS-2 scores on mortality.

Result:

qSOFA, SOFA, APACHE II, and NEWS-2 scores on day 5 exhibited a difference between survivors and nonsurvivors (p <0.05), also between ICU and non-ICU admission (p <0.05). The initial NEWS-2 revealed a higher AUC value than the qSOFA, APACHE II, and SOFA score in estimating mortality (0.867; 0.83; 0.822; 0.794). In ICU, APACHE II score revealed a higher AUC value than the SOFA, NEWS-2, and qSOFA score (0.853; 0.832; 0.813; 0.809). Concurrently, evaluation on day 5 showed that qSOFA AUC had higher scores than the NEWS-2, APACHE II, and SOFA (0.979; 0.965; 0.939; 0.933) in predicting mortality, while SOFA and APACHE II AUC were higher in ICU admission than NEWS-2 and qSOFA (0.968; 0.964; 0.939; 0.934). According to the cutoff score, APACHE II on day 5 revealed the highest sensitivity and specificity in predicting the mortality (sensitivity 95.7%, specificity 86.7%).

Conclusion:

All scores signify good predictive values on COVID-19 patients mortality following the evaluation on the day 5. Nonetheless, APACHE-II appears to be the best at predicting mortality and ICU admission rate. How to cite this article Asmarawati TP, Suryantoro SD, Rosyid AN, Marfiani E, Windradi C, Mahdi BA, et al. Predictive Value of Sequential Organ Failure Assessment, Quick Sequential Organ Failure Assessment, Acute Physiology and Chronic Health Evaluation II, and New Early Warning Signs Scores Estimate Mortality of COVID-19 Patients Requiring Intensive Care Unit. Indian J Crit Care Med 2022;26(4)464-471.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Language: English Journal: Indian J Crit Care Med Year: 2022 Document Type: Article Affiliation country: JP-JOURNALS-10071-24170

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Cohort study / Diagnostic study / Experimental Studies / Observational study / Prognostic study Language: English Journal: Indian J Crit Care Med Year: 2022 Document Type: Article Affiliation country: JP-JOURNALS-10071-24170