Browsing by Author "Turnic, Tamara Nikolic (58237706100)"
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Publication Severe COVID-19 in Non-Smokers: Predictive Factors and Outcomes(2025) ;Djuric, Marko (56467826000) ;Nenadic, Irina (57248341000) ;Radisavljevic, Nina (57201418152) ;Todorovic, Dusan (57202724895) ;Dimic, Nemanja (57460624900) ;Bobos, Marina (59782431600) ;Bojic, Suzana (55965837500) ;Savic, Predrag (57272197000) ;Turnic, Tamara Nikolic (58237706100) ;Stevanovic, Predrag (24315050600)Djukic, Vladimir (57210262273)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 the need for the specific investigation of disease progression in non-smoking populations. Objective: To identify early mortality predictors in non-smoking patients with severe COVID-19 through the evaluation of clinical, laboratory, and oxygenation parameters. Methods: This retrospective observational cohort study included 59 non-smokers hospitalized with COVID-19 between November and December 2020. Clinical parameters, laboratory findings, and respiratory support requirements were analyzed on Days 1 and 7 of hospitalization. ROC curves were constructed to assess the predictive value of the parameters. Results: The overall mortality rate was 54.2%. The seventh-day SOFA score showed the strongest predictive value (AUC = 0.902, p = 0.004), followed by pCO2 (AUC = 0.853, p = 0.012). Significant differences between survivors and non-survivors were observed in acid–base parameters, oxygenation indices, and hematological markers. Mortality rates varied significantly with ventilation type: 84.6% for IMV and 50% for NIMV, with no deaths in HFNC patients. Conclusions: Multiple parameters measured on Day 7 of hospitalization demonstrate significant predictive value for mortality in non-smoking COVID-19 patients, with the SOFA score being the strongest predictor. The type of respiratory support significantly influences outcomes, suggesting the importance of careful ventilation strategy selection. © 2025 by the authors. - Some of the metrics are blocked by yourconsent settings
Publication Severe COVID-19 in Non-Smokers: Predictive Factors and Outcomes(2025) ;Djuric, Marko (56467826000) ;Nenadic, Irina (57248341000) ;Radisavljevic, Nina (57201418152) ;Todorovic, Dusan (57202724895) ;Dimic, Nemanja (57460624900) ;Bobos, Marina (59782431600) ;Bojic, Suzana (55965837500) ;Savic, Predrag (57272197000) ;Turnic, Tamara Nikolic (58237706100) ;Stevanovic, Predrag (24315050600)Djukic, Vladimir (57210262273)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 the need for the specific investigation of disease progression in non-smoking populations. Objective: To identify early mortality predictors in non-smoking patients with severe COVID-19 through the evaluation of clinical, laboratory, and oxygenation parameters. Methods: This retrospective observational cohort study included 59 non-smokers hospitalized with COVID-19 between November and December 2020. Clinical parameters, laboratory findings, and respiratory support requirements were analyzed on Days 1 and 7 of hospitalization. ROC curves were constructed to assess the predictive value of the parameters. Results: The overall mortality rate was 54.2%. The seventh-day SOFA score showed the strongest predictive value (AUC = 0.902, p = 0.004), followed by pCO2 (AUC = 0.853, p = 0.012). Significant differences between survivors and non-survivors were observed in acid–base parameters, oxygenation indices, and hematological markers. Mortality rates varied significantly with ventilation type: 84.6% for IMV and 50% for NIMV, with no deaths in HFNC patients. Conclusions: Multiple parameters measured on Day 7 of hospitalization demonstrate significant predictive value for mortality in non-smoking COVID-19 patients, with the SOFA score being the strongest predictor. The type of respiratory support significantly influences outcomes, suggesting the importance of careful ventilation strategy selection. © 2025 by the authors.
