Severe COVID-19 in Non-Smokers: Predictive Factors and Outcomes DOI Open Access
Marko Djuric, Irina Nenadić,

Nina Radisavljevic

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(9), P. 1041 - 1041

Published: May 1, 2025

Background: The COVID-19 pandemic revealed an unexpected pattern known as the "smoker's paradox", with lower rates of severe disease among smokers compared to non-smokers, highlighting need for specific investigation progression in non-smoking populations. Objective: To identify early mortality predictors patients through evaluation clinical, laboratory, and oxygenation parameters. Methods: This retrospective observational cohort study included 59 non-smokers hospitalized between November December 2020. Clinical parameters, laboratory findings, respiratory support requirements were analyzed on Days 1 7 hospitalization. ROC curves constructed assess predictive value Results: overall rate was 54.2%. seventh-day SOFA score showed strongest (AUC = 0.902, p 0.004), followed by pCO2 0.853, 0.012). Significant differences survivors non-survivors observed acid-base indices, hematological markers. Mortality varied significantly ventilation type: 84.6% IMV 50% NIMV, no deaths HFNC patients. Conclusions: Multiple parameters measured Day hospitalization demonstrate significant patients, being predictor. type influences outcomes, suggesting importance careful strategy selection.

Language: Английский

Lipoxin A4 levels correlate with severity in a Spanish COVID-19 cohort: potential use of endogenous pro-resolving mediators as biomarkers DOI Creative Commons
Sergio Sánchez‐García, Rafael I. Jaén, Roberto Lozano‐Rodríguez

et al.

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 23, 2025

Background SARS-CoV-2, the causative virus of COVID-19 global pandemic, leads to a wide variety responses among patients. Some them present very severe phenotype, while others only experience mild symptoms or are even asymptomatic. This differential prognosis is tightly related inflammatory status patient. Although WHO declared end emergency, pandemic caused great socio-sanitary impact in all countries. Thus, possible outbreak new biological diseases future makes it necessary deepen knowledge this uncontrolled immune response and look for reliable biomarkers help us predict its potential health impact. Specialized pro-resolving lipid mediators (SPMs) as lipoxins endogenous synthesized from arachidonic acid resolution stage any process. These lipids have actions several pathological models, including reducing NF-κB-mediated inflammation, inducing antioxidant through Nrf-2 pathway. although relationship has already been suggested between low levels SPMs severity, their true role predictive biomarker still unknown. Methods results In study, we analyzed by ELISA serum lipoxin A 4 (LXA ) representative Spanish cohort. We found reduced deceased patients when compared patients, concomitant with decrease LXA biosynthetic pathway an increase degradation Furthermore, studied correlation SPM pathology indicators, finding significant increased better Conclusion propose measure systemic promising survival affected SARS-CoV-2 presumably other viruses that can affect humanity future.

Language: Английский

Citations

0

Severe COVID-19 in Non-Smokers: Predictive Factors and Outcomes DOI Open Access
Marko Djuric, Irina Nenadić,

Nina Radisavljevic

et al.

Healthcare, Journal Year: 2025, Volume and Issue: 13(9), P. 1041 - 1041

Published: May 1, 2025

Background: The COVID-19 pandemic revealed an unexpected pattern known as the "smoker's paradox", with lower rates of severe disease among smokers compared to non-smokers, highlighting need for specific investigation progression in non-smoking populations. Objective: To identify early mortality predictors patients through evaluation clinical, laboratory, and oxygenation parameters. Methods: This retrospective observational cohort study included 59 non-smokers hospitalized between November December 2020. Clinical parameters, laboratory findings, respiratory support requirements were analyzed on Days 1 7 hospitalization. ROC curves constructed assess predictive value Results: overall rate was 54.2%. seventh-day SOFA score showed strongest (AUC = 0.902, p 0.004), followed by pCO2 0.853, 0.012). Significant differences survivors non-survivors observed acid-base indices, hematological markers. Mortality varied significantly ventilation type: 84.6% IMV 50% NIMV, no deaths HFNC patients. Conclusions: Multiple parameters measured Day hospitalization demonstrate significant patients, being predictor. type influences outcomes, suggesting importance careful strategy selection.

Language: Английский

Citations

0