Predictors of Mortality in Critically Ill COVID-19 Patients Demanding High Oxygen Flow: A Thin Line between Inflammation, Cytokine Storm, and Coagulopathy

Author:

Popadic Viseslav1ORCID,Klasnja Slobodan1ORCID,Milic Natasa23ORCID,Rajovic Nina2ORCID,Aleksic Aleksandra1ORCID,Milenkovic Marija45ORCID,Crnokrak Bogdan1ORCID,Balint Bela67ORCID,Todorovic-Balint Milena58ORCID,Mrda Davor1ORCID,Zdravkovic Darko15ORCID,Toskovic Borislav15ORCID,Brankovic Marija15ORCID,Markovic Olivera15ORCID,Bjekic-Macut Jelica15ORCID,Djuran Predrag1ORCID,Memon Lidija1ORCID,Brajkovic Milica1ORCID,Todorovic Zoran15ORCID,Hadzi-Djokic Jovan57ORCID,Jovanovic Igor1ORCID,Nikolic Dejan15ORCID,Zdravkovic Marija15ORCID

Affiliation:

1. University Hospital Medical Center, Bezanijska kosa, Belgrade, Serbia

2. Institute for Medical Statistics and Informatics, Faculty of Medicine University of Belgrade, Belgrade, Serbia

3. Department of Internal Medicine, Division of Nephrology and Hypertension, Mayo Clinic, Rochester, USA

4. Clinical Center of Serbia, Belgrade, Serbia

5. Faculty of Medicine, University of Belgrade, Belgrade, Serbia

6. Institute of Cardiovascular Diseases “Dedinje”, Belgrade, Serbia

7. Department of Medical Sciences, Serbian Academy of Sciences and Arts, Serbia

8. Clinic for Hematology, Clinical Center of Serbia, Belgrade, Serbia

Abstract

Introduction. Mortality among critically ill COVID-19 patients remains relatively high despite different potential therapeutic modalities being introduced recently. The treatment of critically ill patients is a challenging task, without identified credible predictors of mortality. Methods. We performed an analysis of 160 consecutive patients with confirmed COVID-19 infection admitted to the Respiratory Intensive Care Unit between June 23, 2020, and October 2, 2020, in University Hospital Center Bezanijska kosa, Belgrade, Serbia. Patients on invasive, noninvasive ventilation and high flow oxygen therapy with moderate to severe ARDS, according to the Berlin definition of ARDS, were selected for the study. Demographic data, past medical history, laboratory values, and CT severity score were analyzed to identify predictors of mortality. Univariate and multivariate logistic regression models were used to assess potential predictors of mortality in critically ill COVID-19 patients. Results. The mean patient age was 65.6 years (range, 29–92 years), predominantly men, 68.8%. 107 (66.9%) patients were on invasive mechanical ventilation, 31 (19.3%) on noninvasive, and 22 (13.8%) on high flow oxygen therapy machine. The median total number of ICU days was 10 (25th to 75th percentile: 6–18), while the median total number of hospital stay was 18 (25th to 75th percentile: 12–28). The mortality rate was 60% (96/160). Univariate logistic regression analysis confirmed the significance of age, CRP, and lymphocytes at admission to hospital, serum albumin, D-dimer, and IL-6 at admission to ICU, and CT score. Serum albumin, D-dimer, and IL-6 at admission to ICU were independently associated with mortality in the final multivariate analysis. Conclusion. In the present study of 160 consecutive critically ill COVID-19 patients with moderate to severe ARDS, IL-6, serum albumin, and D-dimer at admission to ICU, accompanied by chest CT severity score, were marked as independent predictors of mortality.

Publisher

Hindawi Limited

Subject

Cell Biology,Aging,General Medicine,Biochemistry

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