The Relationship among Splenomegaly, Lung Involvement Patterns, and Severity Score in COVID-19 Pneumonia.

INTRODUCTION: The disease caused by the novel coronavirus (COVID -19) is a vital public health problem that has now affected approximately 68,037,473 people and caused 1,552,802 deaths around the world. We aimed to correlate the frequency of the lung involvement patterns, the segmental distribution of lung infiltration, and TLSS in COVID-19 pneumonia patients with and without splenomegaly. MATERIAL AND METHODS: This retrospective study included patients admitted to Yunus Emre State Hospital Emergency, Internal Medicine and Infectious Disease Departments between March 11, 2020, and June 10, 2020, and diagnosed with COVID-19 by PCR test with a throat and nasal swab. The thoracic and upper abdomen CTs and the clinical and demographic features of the patients were analyzed at the time of initial diagnosis. RESULTS: Consolidation (group 1 - 18 (47%), group 2 - 69 (28.2%); P = 0017), crazy pavement pattern (15 (39.5%), 42 (17.1%); p = 0.001), pleural band formations (24 (63.2%), 87 (35.5%); p = 0.001), interlobular septal thickening (23 (60.5%), 79 (32.2%); p = 0.001), and sequelae of secondary tuberculosis (4 (10.5%), 8 (3.3%); p = 0.039) were more frequent in the patient with splemomegaly. The total lung severity score was high in the group with splenomegaly (7.32 ± 6.15, 3.69 ± 5.16; p = 0.001). CONCLUSION: Consolidation, interlobular septal thickening, tuberculosis sequela, pleural band, and crazy pavement patterns were frequent in the COVID-19 pneumonia patients with splenomegaly. The most frequently affected segment was the superior segment of the right lower lobe. TLSS was higher in the COVID-19 pneumonia patients with splenomegaly.

Renal Artery Resistive Index and Estimated Glomerular Filtration Rate in Patients with Non-alcoholic Fatty Liver Disease.

OBJECTIVE: Non-alcoholic fatty liver disease (NAFLD) may affect many organs and systems, especially the kidney as well as the liver. While NAFLD's renal impacts can be evaluated via the estimated glomerular filtration rate (eGFR), its effects on renal hemodynamic changes can be monitored with the renal resistive index (RRI). Our aim in this study is to evaluate RRI and eGFR in NAFLD patients. MATERIALS AND METHODS: In this study, a total of 69 patients with NAFLD and 50 age- and gendermatched healthy controls were included. The basic clinical and laboratory parameters of patient and control groups were assessed and recorded. RESULTS: In the patient group, the RRI was observed as 0.64±0.06 and eGFR value as 86±52 (mL/min/1.73m2), while in the control group, the RRI was 0.61±0.05 and eGFR was 95.40±20.21 (mL/min/1.73m2). Compared to the control group, the RRI and eGFR values were significantly different in the patient group (PRRI=0.003 and PeGFR=0.025). There was a negative correlation observed between the RRI and eGFR (r=-0.347, P=0.003). Receiver-operating characteristic curve analysis suggested that the optimum RRI cut-off value for patients with NAFLD is 0.62, with 65% sensitivity and 60% specificity (p=0.002). There was an independent relationship found between the RRI and eGFR according to the linear regression analysis (ß=-0.301, P=0.015). CONCLUSION: This study shows that RRI may be an indicator of renal functions, such as eGFR in patients with NAFLD.

Predictive value of platelet to lymphocyte ratio and neutrophil to lymphocyte ratio in evaluating both lung involvement and severity of patients with coronavirus disease 2019.

OBJECTIVES: To investigate the relationship of the neutrophil lymphocyte ratio (NLR) and the platelet lymphocyte ratio (PLR) with lung involvement and total lung severity score (TLSS) in computed tomography (CT) of patients with coronavirus disease -19 (COVID-19) and to evaluate their clinical usability. METHODS: Basic laboratory, clinical features and imaging data of patients was obtained by examining the file and archive records of our hospital. According to the findings of lung CT scan at the time of diagnosis among COVID-19 patients, 2 groups were formed. RESULTS: The NLR was 2.22±11.15 and the PLR was 142.77±387.10 in patients with COVID-19 pneumonia. The NLR was 1.88±7.47 and the PLR was 130.65±203.6 8 in patients without COVID-19 pneumonia. The differences in the NLR and the PLR were determined to be statistically significant between the 2 groups. A positive correlation was observed between NLR and PLR (r=0.225, p=0.010) and TLSS (r=0.244, p=0.005). CONCLUSION: This study showed that the NLR and PLR values can be 2 inflammatory markers that can be used to evaluate lung involvement and disease severity in COVID-19 patients. At the time of initial diagnosis and during follow-up, these markers can give an idea in terms of prognosis, together with other clinical findings and markers.

Evaluation of Monocyte to High-Density Lipoprotein Cholesterol Ratio in the Presence and Severity of Metabolic Syndrome.

Monocyte to high-density lipoprotein cholesterol ratio (MHR) is a systemic inflammatory marker, and recently, it has been used quite commonly for the assessment of inflammation in cardiovascular disorders. The aim of the present study is to investigate the relevance of MHR as a marker to assess metabolic syndrome (MetS) and MetS severity in clinical practice. A total of 147 patients with MetS who were diagnosed according to National Cholesterol Education Program Adult Treatment Panel III criteria and 134 healthy controls, matched for age and gender, were included in our retrospective study. MHR values were 13.15 ± 6.07 for patients with MetS and 9.74 ± 5.24 for the control group. MHR values of the patients were found to be statistically significantly higher than the control group ( P < .0001). MHR showed a significantly positive correlation with the severity of MetS ( r = .429; P < .0001). When patients with MetS were assessed with MHR in the study population, receiver-operating characteristic curve analysis yielded a cutoff value of 9.36 with a sensitivity of 72%, a specificity of 61%, and a P value <.0001. In logistic regression analyses of MetS with several variables, MHR remained as an independent predictor of MetS (95% CI: 0.721-0.945, P = .005). MHR might be an available and useful inflammatory marker to evaluate patients with MetS and disease severity.