Dynamic Cytokine and Coagulation Profiling in Patients With Severe COVID‑19 Evaluated for Pulmonary Embolism: A Prospective Cohort Study

Background:COVID-19 is associated with immune dysregulation and an increased risk of thromboembolic complications, including pulmonary embolism (PE).Identification of dynamic immunological predictors of adverse outcomes remains clinically relevant.This study evaluated associations between coagulation, inflammatory, immunological markers, and in-hospital mortality in patients with severe COVID-19. Material/Methods:In this prospective observational study, 47 hospitalized adults with severe COVID-19 and suspected PE were enrolled.Serum cytokines, coagulation parameters, and cardiac injury biomarkers were assessed at enrollment and on hospital day 5. PE was confirmed using computed tomography pulmonary angiography.Univariable and multivariable binary logistic regression was used to identify predictors of in-hospital all-cause mortality.Model discrimination was evaluated using the area under the receiver operating characteristic curve (AUC), with internal validation by bootstrap resampling. Results:PE was diagnosed in 19 patients (40.4%), and 13 patients (27.7%) died during hospitalization.Higher standardized day-5 interleukin (IL)-9 and IL-15 levels were associated with mortality in univariable analyses, but neither remained significant after Benjamini-Hochberg false discovery rate correction across the panel of 15 cytokines measured on day 5 (IL-9, q = 0.180; IL-15, q = 0.210).In an age-adjusted model, day-5 IL-9 remained associated with mortality (adjusted odds ratio per 1-SD increase, 3.331; 95% CI, 1.289-8.608;P = 0.013).Apparent discrimination was moderate (AUC 0.774; 95% CI, 0.563-0.984;P = 0.011), but bootstrap validation showed marked coefficient instability. Conclusions:Day-5 IL-9 levels may reflect an evolving risk in severe COVID-19, but the association was sensitive to multipletesting correction and model instability.This study's findings are exploratory and require confirmation in larger, externally validated cohorts.

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Journal
Medical Science Monitor
Published
2026-06-18
DOI
https://doi.org/10.12659/msm.952644
Primary Topic
COVID-19 Clinical Research Studies
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article
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article

Dynamic Cytokine and Coagulation Profiling in Patients With Severe COVID‑19 Evaluated for Pulmonary Embolism: A Prospective Cohort Study

Goda Barauskienė, Albinas Naudžiūnas, Astra Vitkauskienė, Andrius Ališauskas et al.
Medical Science Monitor
COVID-19 Clinical Research Studies
article

Dynamic Cytokine and Coagulation Profiling in Patients With Severe COVID‑19 Evaluated for Pulmonary Embolism: A Prospective Cohort Study

Goda Barauskienė, Albinas Naudžiūnas, Astra Vitkauskienė, Andrius Ališauskas, Skaidrius Miliauskas, Saulius Sadauskas, Tomas Repečka, Mykhaylo Sorokivskyy, Ingrida Grabauskytė
article en

Abstract

Background:COVID-19 is associated with immune dysregulation and an increased risk of thromboembolic complications, including pulmonary embolism (PE).Identification of dynamic immunological predictors of adverse outcomes remains clinically relevant.This study evaluated associations between coagulation, inflammatory, immunological markers, and in-hospital mortality in patients with severe COVID-19. Material/Methods:In this prospective observational study, 47 hospitalized adults with severe COVID-19 and suspected PE were enrolled.Serum cytokines, coagulation parameters, and cardiac injury biomarkers were assessed at enrollment and on hospital day 5. PE was confirmed using computed tomography pulmonary angiography.Univariable and multivariable binary logistic regression was used to identify predictors of in-hospital all-cause mortality.Model discrimination was evaluated using the area under the receiver operating characteristic curve (AUC), with internal validation by bootstrap resampling. Results:PE was diagnosed in 19 patients (40.4%), and 13 patients (27.7%) died during hospitalization.Higher standardized day-5 interleukin (IL)-9 and IL-15 levels were associated with mortality in univariable analyses, but neither remained significant after Benjamini-Hochberg false discovery rate correction across the panel of 15 cytokines measured on day 5 (IL-9, q = 0.180; IL-15, q = 0.210).In an age-adjusted model, day-5 IL-9 remained associated with mortality (adjusted odds ratio per 1-SD increase, 3.331; 95% CI, 1.289-8.608;P = 0.013).Apparent discrimination was moderate (AUC 0.774; 95% CI, 0.563-0.984;P = 0.011), but bootstrap validation showed marked coefficient instability. Conclusions:Day-5 IL-9 levels may reflect an evolving risk in severe COVID-19, but the association was sensitive to multipletesting correction and model instability.This study's findings are exploratory and require confirmation in larger, externally validated cohorts.

Medical Science MonitorVol. 32
Lithuanian University of Health Sciences (LT), Danylo Halytsky Lviv National Medical University (UA)
Openalex Percentile: Top 6%
COVID-19 Clinical Research Studies
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