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1.
Front Med (Lausanne) ; 10: 1041115, 2023.
Article in English | MEDLINE | ID: covidwho-2284980

ABSTRACT

Background: Oxidative stress plays an important role in the pathogenesis of many diseases. This study aimed to investigate the relationship between nuclear factor kappa B (NF-κB) and oxidative stress and the severity of the disease in new COVID-19 patients, and, to compare the levels of NF-κB, oxidized LDL (oxLDL), and lectin-like oxidized-LDL receptor-1 (LOX-1) with oxygen saturation, which is an indicator of the severity parameters of the disease in COVID-19 patients. Methods: In this prospective study, 100 COVID-19 patients and 100 healthy subjects were selected. Results: LOX-1, NF-κB, and oxLDL were found to be higher in COVID-19 patients compared to the healthy subjects (p < 0.001 for all). According to the results of correlation analysis, it was found that there was no significant relationship between oxygen saturation and LOX-1, NF-κB and oxLDL parameters. There was significant relationship between oxLDL with LOX-1 and NF-κB in patients with COVID-19 disease. ROC analysis results of the highest discrimination power were oxLDL (AUC: 0.955, CI: 0.904-1.000; sensitivity: 77%, and specificity: 100%, for cutoff: 127.944 ng/l) indicating COVID-19. Conclusion: Oxidative stress plays an essential role in COVID-19. NF-κB, oxLDL, and LOX-1 seem to represent good markers in COVID-19. Our study also showed that oxLDL has the highest power in distinguishing patients with COVID-19 from the healthy subjects.

2.
Int J Vitam Nutr Res ; 92(1): 4-12, 2022 Jan.
Article in English | MEDLINE | ID: covidwho-1721400

ABSTRACT

Purpose: This study aimed to investigate the effect of the nutritional status, as assessed by the prognostic nutritional index (PNI) on the disease prognosis of patients with COVID-19. Methods: This retrospective study included 282 patients with COVID-19. The PNI score of all patients, 147 of whom were male, with a mean age of 56.4±15.3 years, was calculated. According to the PNI score, the patients with normal and mild malnutrition constituted group-1 (n=159) and the patients with moderate-to-severe and serious malnutrition constituted group-2 (n=123). Results: The PNI score was correlated with age (r=-0.146, p=0.014); oxygen saturation (r=0.190, p=0.001); heart rate (r=-0.117, p=0.05); hospitalization duration (r=-0.266, p<0.001); white blood cells (r=0.156, p=0.009); hemoglobin (r=0.307, p<0.001); C-reactive protein (CRP) (r=-0.346, p<0.001); creatinine (r=-0.184, p=0.002); D-dimer (r=-0.304, p<0.001); ferritin (r=-0.283, p<0.001); procalcitonin (r=-0.287, p<0.001); the confusion, urea, respiratory rate, blood pressure, and age ≥65 years score (r=-0.217, p<0.001); and the quick sequential organ failure assessment score (r=-0.261, p<0.001) in patients with COVID-19. Mortality was significantly higher in Group 2 (p<0.001). Survival was significantly higher if PNI score was >41.2 (p<0.001, sensitivity: 78.7% and specificity: 84.2%). In multivariate regression analysis, among various other parameters, only PNI score and oxygen saturation had a significant effect on the disease course (p=0.02 and p=0.045, respectively). Conclusion: PNI, calculated from the serum albumin concentration and total lymphocyte count, is a simple and objective indicator that assesses the immune nutritional status of patients with COVID-19. The presence of malnutrition has a high predictive value in predicting the severity of COVID-19. Our data suggest that the PNI might be useful for risk stratification of patients with COVID-19 in clinical practice.


Subject(s)
COVID-19 , Nutrition Assessment , Adult , Aged , Humans , Male , Middle Aged , Nutritional Status , Oxygen Saturation , Prognosis , Retrospective Studies , Risk Factors , SARS-CoV-2
3.
J Infect Dev Ctries ; 15(10): 1415-1425, 2021 10 31.
Article in English | MEDLINE | ID: covidwho-1518652

ABSTRACT

INTRODUCTION: We aimed to evaluate clinical and laboratory findings of hospitalized asthma and chronic obstructive pulmonary disease (COPD) patients with COVID-19 and demonstrate that they have different symptoms and/or laboratory results and outcomes than COVID-19 patients with comorbidity (CoV-com) and without comorbidity (CoV-alone). METHODOLOGY: The data of the demographic, clinical, laboratory findings of hospitalized CoV-alone, asthma, COPD patients with COVID-19 (CoV-asthma, CoV-COPD, respectively), and CoV-com were analyzed. RESULTS: Out of 1082 patients hospitalized for COVID-19, 585 (54.1%) had CoV-alone, 40 (3.7%) had CoV-asthma, 46 (4.3%) had CoV-COPD and 411 (38%) had CoV-com. Cough, shortness of breath, fever and weakness were the most common four symptoms seen in all COVID-19 patients. Shortness of breath, myalgia, headache symptoms were more common in CoV-asthma than the other groups (p < 0.001, p < 0.01, p < 0.05 respectively). Sputum was more common in CoV-COPD than other groups (p < 0.01). COPD group most frequently had increased values, different from the other groups with CRP>5ng/mL in 91.3%, D-dimer > 0.05mg/dL in 89.1%, troponin > 0.014micg/L in %63.9, INR>1.15 in 52.2%, CK-MB>25U/L in 48.5%, PT>14s in 40.9% of patients (p < 0.05, p < 0.001, p < 0.001, p < 0.001, p < 0.05, p < 0.001, respectively). NT-ProBNP was found to have the highest AUC value and the best differentiating parameter for CoV-asthma from CoV-alone. Typical CT findings were present in 44.4% of CoV-alone, 57.5% of CoV-asthma, 28.3% of CoV-COPD and 38.9% of CoV-com groups. CoV-COPD and CoV-com patients died more frequently than other groups (17.8%, 18.5%). CONCLUSIONS: CoV-asthma and CoV-COPD patients might have different symptoms and laboratory parameters than other COVID-19 patients which can guide the physicians.


Subject(s)
Asthma/epidemiology , COVID-19/epidemiology , Pulmonary Disease, Chronic Obstructive/epidemiology , Adult , Aged , Asthma/diagnostic imaging , COVID-19/diagnostic imaging , Comorbidity , Cross-Sectional Studies , Female , Hospitalization/statistics & numerical data , Humans , Lung/diagnostic imaging , Lung/pathology , Male , Middle Aged , Pulmonary Disease, Chronic Obstructive/diagnostic imaging , Retrospective Studies , SARS-CoV-2/genetics , SARS-CoV-2/pathogenicity , Tomography, X-Ray Computed , Turkey/epidemiology
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