Analysis of biological determinants that predict severe forms of COVID-19 in patients with chronic lung diseases

<bold>Introduction:</bold> Monitoring variables of COVID-19/ Post-Covid Infection (PCI) and comorbidities is essential in severe disease forms. <bold>Aim:</bold> To identify biological variables that predict severe forms of COVID-19/PCI in patients with comorbidities like COPD, asthma, lung cancer. <bold>Material and Methods:</bold> Data of 182 Covid-19/PCI patients included complete blood count (CBC), Erythrocyte Sedimentation Rate (ESR), neutrophyl lymphocyte ratio (NLR), glucose, C-reactive protein (CRP), Lactat dehidrogenase (LDH). Differences in laboratory biomarkers as by COVID-19/PCI severity were tested with The Mann-Whitney U test. Receiver operating curve (ROC) and area under the curve (AUC) were calculated to compare the diagnostic performance of each parameter. <bold>Results:</bold> The lymphocyte and neutrophil count, CRP, LDH, age and hospitalization duration differed statistically significantly (p < 0.005; p < 0.0005) in all groups. The diagnostic accuracy was supported by the biomarkers specificity and sensitivity by ROC curves (Figure 1). Thus, NLR, CRP, LDH and glucose were considered important predictors in evaluating patients with COVID-19 (AUC > 0.7). <fig><object-id>erj;64/suppl_68/PA3999/F1</object-id><object-id>F1</object-id><object-id>F1</object-id><graphic></graphic></fig> <bold>Conclusions:</bold> Modified inflammatory markers in COVID-19/PCI and high values of the average concentrations of serum CRP and LDH were observed especially in asthma and COPD patients. Long COVID-19 in COPD led to exacerbated respiratory symptoms and increased risk of severe complications.