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The novel coronavirus disease 2019 (COVID‐19) remains a global health emergency, and understanding the interactions between the virus and host immune responses is crucial to preventing its lethal effects. The expansion of myeloid‐derived suppressor cells (MDSCs) in COVID‐19, thereby suppressing immune responses, has been described as responsible for the severity of the disease, but the correlation between MDSC subsets and COVID‐19 severity remains elusive. Therefore, we classified patients according to clinical and laboratory findings—aiming to investigate the relationship between MDSC subsets and laboratory findings such as high C‐reactive protein, ferritin and lactate dehydrogenase levels, which indicate the severity of the disease. Forty‐one patients with COVID‐19 (26 mild and 15 severe; mean age of 49.7 ± 15 years) and 26 healthy controls were included in this study. MDSCs were grouped into two major subsets—polymorphonuclear MDSCs (PMN‐MDSCs) and monocytic MDSCs—by flow cytometric immunophenotyping, and PMN‐MDSCs were defined as mature and immature, according to CD16 expressions, for the first time in COVID‐19. Total MDSCs, PMN‐MDSCs, mature PMN‐MDSCs and monocytic MDSCs were significantly higher in patients with COVID‐19 compared with the healthy controls (P

Background: Neutrophils, monocytes, and macrophages activations are associated with a gout attack. Monocyte to lymphocyte ratio (MLR), neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), red cell distribution width (RDW), and mean platelet volume (MPV) are well-known inflammation markers. In this study, we aimed to investigate whether they could be a predictive marker to the gout attack. Material and Methods: A hundred and ten gout patients (male/female, 86/24) and 90 (male/female, 64/26) age-, gender-, and body mass index-matched volunteer controls were included in the study. Blood samples were obtained in the intercritical and attack period of the patients. Hemogram, serum uric acid (SUA), C-reactive protein (CRP), and erythrocyte sedimentation rate (ESR) values were studied. Results: In the attack period NLR (p < 0.001), PLR (p < 0.05), MLR (p < 0.001), RDW (p < 0.05), MPV (p < 0.05), ESR (p < 0.001), CRP (p < 0.001) and SUA (p < 0.001) values were significantly higher than intercritical period values. According to the results of regression analysis; There was an independent strong relationship between the gout attack and SUA, (Beta [β] = 0.352, p < 0.001), ESR (β = 0.329, p < 0.001), CRP (β = 0.286, p < 0.001), MLR (β = 0.126, p < 0.001), RDW (β = 0.100, p = 0.003) and NLR (β = 0.082, p = 0.014). Conclusions: MLR, RDW, and NLR may be a strong predictive marker for a gout attack. MPV and PLR values in the gout attack may be associated with systemic inflammation.

The authors report a 35-year-old woman who presented 1 month after delivery with the complaint of pain behind her left eye which started during her pregnancy. The patient described increased fullness with dependent head position and pain on left gaze but she had no proptosis and her ocular examination was normal. Magnetic resonance imaging (MRI) revealed an intraconal mass with inhomogeneous contrast enhancement. As the authors did not suspect malignity and her ocular examination was normal without any signs of inflammation, the authors followed the patient closely. Repeat MRI obtained 6 months after delivery revealed complete resolution of the mass. Upon disappearance of the lesion, the authors reviewed the case thoroughly and decided that orbital venous anomaly with intralesional hemorrhage/thrombosis was the most probable diagnosis. As hemorrhage or thrombosis occurring in orbital vascular anomalies may be a diagnostic challenge because of the localized lesion and distinct borders, careful interpretation of clinical characteristics and MRI findings and close follow-up is important in interpretation of orbital mass lesions, especially in pregnant or puerperal women.