Intensive Care Infection Score (ICIS) is elevated in patients with moderate and severe COVID-19 in the early stages

Filip Vrbacky1, Ilona Fatorova1, Martin Blazek2

  • 14th Department of Internal Medicine - Haematology, University Hospital Hradec Kralove and Faculty of Medicine Hradec Kralove, Charles University, Sokolska 581, Hradec Kralove, Czech Republic.

Insights

The Intensive Care Infection Score (ICIS) effectively predicts moderate to severe COVID-19. A score above 3.5 indicates a higher likelihood of severe disease progression in patients.

Area of Science:

  • Infectious Diseases
  • Critical Care Medicine
  • Clinical Diagnostics

Background:

  • Coronavirus disease 2019 (COVID-19) presents a heterogeneous clinical course, posing risks to all age groups.
  • Identifying early prognostic markers for COVID-19 is crucial due to its potential for severe complications.
  • The Intensive Care Infection Score (ICIS), previously used for bacterial infection risk, was investigated for COVID-19 prognosis.

Purpose of the Study:

  • To evaluate the performance of the Intensive Care Infection Score (ICIS) as a prognostic marker for COVID-19 disease severity.
  • To determine if ICIS can reliably differentiate between mild and moderate/severe COVID-19 cases early in the disease course.

Main Methods:

  • A cohort of 205 COVID-19 patients with respiratory symptoms and positive SARS-CoV-2 RT-PCR tests were analyzed.
  • Patients were categorized into mild (no oxygen) and moderate/severe (oxygen therapy or death) groups.
  • The predictive performance of ICIS for disease severity was assessed using metrics like Area Under the Curve (AUC) and Youden index.

Main Results:

  • ICIS demonstrated the highest AUC (0.773) in predicting mild versus moderate/severe COVID-19.
  • A cut-off value of ICIS = 3.5 yielded the highest Youden index (0.423).
  • This cut-off achieved high specificity (77.6%) and positive predictive value (90.2%) for identifying moderate/severe disease.

Conclusions:

  • The Intensive Care Infection Score (ICIS) is a reliable, cost-effective, and easily interpretable tool for early prognostication of COVID-19.
  • An ICIS score greater than 3.5 effectively identifies patients at risk for a moderate to severe disease course.
  • ICIS facilitates early identification, enabling timely clinical intervention for COVID-19 patients.
Abstract

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