The aim of this study is to examine the prognostic role of initial chest computed tomography severity score index (CTSS) and its association with demographic, socio-epidemiological, and clinical parameters in COVID-19 hospitalized patients. A retrospective study included patients who were hospitalized in the COVID Hospital of the Clinical Hospital Center Kosovska Mitrovica from July 2020 to March 2022. We compared patient characteristics and outcome of their hospital stay with values of CT severity score (mild, moderate, and severe form of the disease). Patients with severe disease were statistically significantly older, they treated more days, and they presented statistically significant highest mortality rate compared to mild and moderate forms. Smokers and obese were significantly more frequent among patients with higher CT, while vaccinated patients were more common among those with a mild form. Biochemical parameters at admission also showed statistical significance between the examined groups. We can conclude that by employing the initial CT severity score as the strongest predictor of mortality, it is possible to predict the outcome in hospitalized patients. A comprehensive examination of the patient upon admission, including determining the extent of inflammatory changes in the lungs using computed tomography, the levels of oxygen saturation, and other laboratory parameters, can assist doctors in making an adequate clinical evaluation and apply appropriate therapeutic protocols in the treatment of COVID-19.

Purpose: The aim of the retrospective, single-center study was to assess the prognostic value of immune cell-based and albumin-based ratios regarding lethal outcome in critically ill COVID-19 patients. Patients and Methods: We analyzed 612 adult critically ill COVID-19 patients admitted to the intensive care unit (ICU) between April 2020 and November 2022. Blood measurement on admission to the ICU encompassed complete blood count (CBC), IL-6, C-reactive protein (CRP), albumin, lactate, lactate dehydrogenase (LDH), serum bicarbonate, arterial base deficit/excess (BD/E), and D-dimer. All the measured and calculated parameters were compared between survivors and nonsurvivors, with the outcome measure being hospital mortality. Results: Immune cell-based ratios [NLR - Neutrophil-to-Lymphocyte Ratio, MLR - Monocyte-to-Lymphocyte Ratio, PLR - Platelet-to-Lymphocyte Ratio, MPV - Mean Platelet Volume, MPV/PC - Mean Platelet Volume-to-Platelet Count Ratio, Derived (d-)NLR ratio - neutrophil count divided by the result of white blood cell (WBC) count – neutrophil count), N/LP - Neutrophil count x 100/Lymphocyte count x Platelet count, CLR – C-reactive protein (CRP)-to-Lymphocyte Ratio, CPR - CRP-to-Platelet Ratio, LLR - Lactate dehydrogenase (LDH)-to-Lymphocyte Ratio, Systemic Immune Inflammation Index (SII) - platelet x neutrophil/lymphocyte count, Systemic Inflammation Response Index (SIRI) - neutrophil x monocyte/lymphocyte count] were investigated. White blood cell and neutrophil counts were significantly higher, while lymphocyte and platelet counts were significantly lower in nonsurvivors. MPV, MPV/PC, NLR, d-NLR, MLR, N/LP, CRP, LDH, CPR, CLR, LLR, SII, and SIRI values were significantly higher in nonsurvivors. Monocyte count and PLR values did not differ significantly between groups. Albumin-based ratios included CRP-to-Albumin Ratio (CAR), Lactate-to-Albumin Ratio (LAR) and LDH-to-Albumin Ratio (LDH/ALB). All values were significantly higher in nonsurvivors. Conclusion: The only independent predictor of lethal outcomes at ICU admission is the albumin-based LDH/ALB ratio. Most of the other parameters were moderate, although highly significant predictors of mortality in critically ill COVID-19 patients.

Oral mucosal repair is a redox-regulated process that may be impaired by diabetes, chronic inflammation, infection, and chemotherapy- or radiotherapy-induced oral mucositis. Reactive oxygen species (ROS) support host defense, epithelial migration, angiogenesis, extracellular matrix remodeling, and adaptive repair when their production is transient and compartmentalized. In contrast, persistent ROS promote lipid, protein, and DNA oxidation, mitochondrial dysfunction, and extracellular matrix damage. Photobiomodulation (PBM) is increasingly used to support oral tissue repair, but its effects should be interpreted as dose- and context-dependent redox modulation rather than as simple antioxidant activity. This narrative review synthesizes oxidative stress biomarkers and redox-sensitive pathways relevant to oral mucosal repair and PBM, including oxidant–antioxidant balance, lipid and protein oxidation, oxidative DNA damage, antioxidant defense, thiol/disulfide homeostasis, mitochondrial and NADPH oxidase-derived ROS, Nrf2/HO-1, NF-κB, HIF-1α/VEGF, MAPK/ERK, PI3K/Akt, and MMP/TIMP signaling. The review emphasizes the distinction between transient mitochondrial ROS/nitric oxide signaling and sustained NADPH oxidase-driven oxi-inflammatory stress. It proposes a practical redox-guided framework for biomarker selection, PBM response interpretation, and future study design, while noting that this framework remains conceptual and is not yet a validated clinical decision algorithm.

Background and Objectives: Diabetes mellitus (DM) is associated with impaired wound healing and increased oxidative stress, posing a significant challenge in dental wound healing. Low-level laser therapy (LLLT) has emerged as a potential regenerative treatment to enhance tissue repair. This study aims to investigate the effects of LLLT on oral mucosal wound healing and oxidative stress markers in rats with DM. Materials and Methods: Male Wistar rats (n = 108) were divided into six equal groups (healthy and diabetic, with or without mucosal ulcers, with or without LLLT). DM was induced with alloxan, and standardized mucosal ulcers were created. Every other day for 10 days, LLLT (6 J/cm²) was applied, and tissue samples were collected after 3, 7, and 10 days. Wound healing was assessed by planimetry, while systemic biochemical analyses included total oxidative status (TOS), total antioxidant capacity (TAC), superoxide dismutase (SOD) activity, and oxidative stress index (OSI). Results: LLLT significantly accelerated oral ulcer closure and showed between-group differences in redox markers. In healthy rats, LLLT increased wound closure on day 7 (p = 0.018). In diabetic rats, LLLT improved closure on day 3 (p = 0.035) and on day 7 (p = 0.001). Across groups, oxidative markers differed significantly (e.g., TOS on day 10 overall, p = 0.011; OSI on day 10 overall, p = 0.047; SOD p < 0.001 at all time points). In diabetic rats, on day 10, median TOS was lower with LLLT (p = 0.004). Conclusions: LLLT enhances oral wound healing and restores redox balance in diabetic rats, which supports the potential usage of LLLT as an adjunctive therapy for managing oral lesions in diabetic patients.

The aim of this study is to determine the demographic and initial clinical characteristics of patients with COVID-19 and their importance in evaluating the severity of the disease. A retrospective study included patients suffering from COVID-19 who were hospitalized at The Department of Infectious Disease of the Clinical Hospital Center Pristina—Gracanica from the beginning of the pandemic until the end of 2020. We compared the symptoms of the disease, radiographic findings of pneumonia, laboratory parameters, duration of symptoms before admission, the difference in the need for certain therapies, and the presence of comorbidities between non-severe and severe groups of patients. Patients with a severe disease were statistically significantly older. Hypertension was significantly associated with severe clinical conditions. Radiographic findings of bilateral pneumonia on admission were much more frequent among the severe group, and these patients’ need for oxygen support was significantly higher. Lower neutrophil and higher lymphocyte counts were statistically significant in the non-severe group. Biochemical parameters at admission also showed statistical significance between the examined groups. Based on our research, we can conclude that a complete overview of the patient, including demographic and laboratory parameters as perhaps the most significant attributes, can help doctors in the timely clinical assessment of patients and, thus, in the timely application of adequate therapeutic protocols in the treatment of COVID-19.