SAPS 3 as a 28-day mortality predictor in critically ill COVID-19 patients

  • Dita Aditianingsih
  • Raden Besthadi Sukmono
  • Sidharta Kusuma Manggala
  • Priscilla Priscilla
Keywords: COVID-19, Hospital Mortality, Humans, Intensive Care Units, Prognosis, Respiratory Insufficiency, ROC Curve, SARS-CoV-2, Severity of Illness Index, Simplified Acute Physiology Score 3

Abstract

Background: The case fatality rate (CFR) of COVID-19 was 8.7% in Indonesia on April 2020. Simplified Acute Physiology Score 3 (SAPS 3) has been used to predict the hospital mortality based on different variables including acute physiologic derangements, current conditions and interventions, and previous health status assess the severity of condition during the first hour of admission to the ICU. We assessed SAPS 3 to predict the outcome and mortality of critical COVID-19 patients in ICU over a period of 28 days.

Methodology: This retrospective cohort study consisted of adult patients admitted to ICU with probable or confirmed COVID-19 in our hospital. We recorded the patients SAPS 3 score from the medical record as well as the 28-day mortality. Validity of the SAPS 3 score was done by the Area Under Curve (AUC) measurement and Hosmer-Lemeshow calibration test.

Results: The mortality rate of critical COVID-19 patients was 43.8%. The age, intra-hospital location before ICU admission, use of vasoactive drugs (P < 0.0001), focal neurological deficits (P < 0.0001), respiratory failure (P = 0.004), creatinine ≥ 3.5 mg/dL (P = 0.005), and platelets < 50,000 /µL (P = 0.032) were significantly associated with 28-days mortality in the ICU. SAPS 3 showed good discrimination and predictability. The optimal cut-off point was 39 with 70.3% sensitivity and 74.4% specificity.

Conclusion: SAPS3 score system was valid in predicting the 28-day mortality of COVID-19 patients in the ICU with good discrimination and calibration value; therefore, it is an important predictor tool for early prognosis screening that will help reduce the strain over the ICU resources.

Abbreviations: CFR: Case Fatality Rate; SAPS 3: Simplified Acute Physiology Score 3; COVID-19: The Coronavirus Disease 2019; ICU: Intensive Care Unit; APACHE: Acute Physiology and Chronic Health Evaluation; SPSS: Statistical Package for Social Sciences; GCS: Glasgow Coma Scale; ROC: Receiver Operating Characteristic; PHEIC: Public Health Emergency of International Concern; OR: Odds Ratio;

Citation: Sukmono RB, Manggala SK, Priscilla P, Aditianingsih D. SAPS 3 as a 28-day mortality predictor in critically ill COVID-19 patients. Anaesth. pain intensive care 2022;26(5):640-648.

DOI: 10.35975/apic.v26i5.1986

Author Biographies

Dita Aditianingsih

Dita Aditianingsih, Department of Anesthesiology and Intensive Care, Cipto Mangunkusumo Hospital, Jakarta / Intensive Care Division, Universitas Indonesia Hospital, Faculty of Medicine, Universitas Indonesia, Depok, Indonesia

Raden Besthadi Sukmono

Raden Besthadi Sukmono, Department of Anesthesiology and Intensive Care, Cipto Mangunkusumo Hospital, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia

Sidharta Kusuma Manggala

Sidharta Kusuma Manggala, Department of Anesthesiology and Intensive Care, Cipto Mangunkusumo Hospital, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia

Priscilla Priscilla

Priscilla Priscilla, Department of Anesthesiology and Intensive Care, Cipto Mangunkusumo Hospital, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia;

Published
10-18-2022
How to Cite
Aditianingsih, D., Sukmono, R., Manggala, S., & Priscilla, P. (2022). SAPS 3 as a 28-day mortality predictor in critically ill COVID-19 patients. Anaesthesia, Pain & Intensive Care, 26(5), 640-648. https://doi.org/10.35975/apic.v26i5.1986
Section
ORIGINAL RESEARCH

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