Coronavirus disease 2019 (COVID-19), caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is associated not only with respiratory illness but also with profound vascular and coagulation disturbances. Long COVID (LC) is characterized by persistent symptoms such as fatigue, dyspnea, cognitive impairment, and palpitations. Mechanistically, SARS-CoV-2 induces direct endothelial injury, promotes a pro-inflammatory cytokine milieu, and activates platelets, leading to immunothrombosis and impaired fibrinolysis. Consequently, patients exhibit microthrombosis, elevated plasma D-dimer, fibrinogen dysregulation, and persistent hypercoagulability. Clinically, this translates into an increased risk of venous thromboembolism, including deep vein thrombosis and pulmonary embolism, as well as arterial thrombotic events such as myocardial infarction and stroke, which may persist months after acute infection. Understanding the interplay between endothelial injury, inflammation, and coagulation is crucial for risk stratification and the development of preventive and therapeutic strategies. We conducted a systematic narrative review of the literature, including human clinical and mechanistic studies identified through PubMed, Scopus and Web of Science up to 30 September 2025. This review synthesizes current evidence on vascular complications in LC, highlighting endothelial dysfunction as a central pathophysiological nexus linking the acute phase of SARS-CoV-2 infection with chronic LC manifestations.

Endothelial dysfunction (characterized by reduced vasodilation or vasoconstriction, oxidative stress, inflammation, and pro-thrombotic condition) is a critical factor in the pathophysiology of various cardiovascular conditions, and the application of anesthetics can affect this dysfunction. Patients undergoing major surgery, especially cardiovascular surgery, are at increased risk of endothelial dysfunction. The impact of anesthetics on endothelial function can vary depending on the specific agent, dosage, duration of exposure, comorbidities, etc. Certain anesthetics, especially at higher doses, may increase the production of reactive oxygen species (ROS), leading to oxidative stress and endothelial dysfunction through reduced nitric oxid (NO) availability. Some anesthetics can modulate inflammatory responses, either by suppressing or exacerbating inflammation, or may affect the permeability of the endothelium, potentially leading to pulmonary edema and disruption of the blood-brain barrier. Anesthetics can influence endothelial glycocalyx. Understanding anesthetics effects is crucial for optimizing anesthetic management, particularly in patients with pre-existing cardiovascular issues. Therefore, the aim of this review is to critically evaluate the effects of different classes of anesthetics on endothelial function and oxidative stress. Specifically, we address how anesthetics influence NO bioavailability, endothelial glycocalyx integrity, inflammatory and oxidative pathways, and clinical outcomes in surgical patients. By summarizing current evidence, we aim to highlight mechanistic insights and identify potential perioperative strategies to minimize endothelial dysfunction.

Background: Patients with acute pancreatitis develop numerous complications and organ damage due to increased intra-abdominal pressure (IAP). These extrapancreatic complications determine the clinical outcome of the disease. Materials and methods: A total of 100 patients with acute pancreatitis were included in the prospective cohort study. Observed patients were divided into two groups according to their mean values of IAP (normal IAP values and elevated IAP values), which were compared with examined variables. Patients with intra-abdominal hypertension (IAH) were divided into four groups by IAP values, and those groups of patients were also compared with the examined variables. Results: Differences between body mass index (BMI) (p = 0.001), lactates (p = 0.006), and the Sequential Organ Failure Assessment (SOFA) score (p = 0.001) were statistically significant within all examined IAH groups. Differences between the mean arterial pressure (MAP) (p = 0.012) and filtration gradient (FG) (p < 0.001) were statistically significant between the first and second IAH groups in relation to the fourth. Differences in diuresis per hour (p = 0.022) showed statistical significance in relation to the first and third groups of IAH patients. Conclusions: Changes in IAP values lead to changes in basic vital parameters MAP, APP, FG, diuresis per hour, and lactate levels in patients with acute pancreatitis. Early recognition of changes in the SOFA score accompanying an increase in the IAP value is essential.

Personalized anesthesia has emerged as a key direction in modern perioperative medicine, driven by advances in molecular biology, analytical technologies, and digital monitoring. Traditional physiological parameters often fail to detect early stages of organ dysfunction, whereas molecular biomarkers provide earlier and more sensitive insight into inflammation, oxidative stress, neurotoxicity, and renal or hepatic injury. Inflammatory markers such as IL-6, CRP, and PCT indicate early immune activation, while oxidative stress biomarkers, including 8-isoprostanes and malondialdehyde, quantify metabolic imbalance and ischemia–reperfusion injury. Neurotoxicity biomarkers such as S100β, NSE, and GFAP allow early detection of subclinical cerebral injury, whereas kynurenine-pathway metabolites reflect neuroinflammation and the risk of postoperative cognitive dysfunction. Renal biomarkers such as NGAL, KIM-1, and cystatin C detect acute kidney injury significantly earlier than creatinine, and miR-122 holds strong potential as an early marker of hepatocellular injury. Genetic and epigenetic biomarkers—including polymorphisms in CYP2D6, CYP3A4/5, RYR1, OPRM1, and COMT, as well as microRNA-based signatures—enable individualized drug dosing and optimization of anesthetic strategies. Meanwhile, digital biomarkers such as EEG-derived indices, HRV, and NIRS provide continuous real-time physiological monitoring and can integrate with AI-based algorithms for predictive, adaptive anesthesia management. Although no single biomarker meets all criteria for an ideal clinical indicator, combining molecular, genetic, and digital biomarkers represents the most promising pathway toward fully personalized, safe, and outcome-optimized perioperative care.

Sepsis is a significant health problem, considering that, annually, over 20 million people fall ill from sepsis. Despite the significant development of medicine in recent decades, the mortality rate of sepsis is exceptionally high (about 26%). The definition of sepsis developed together with the understanding of the mechanism of sepsis. At the beginning of the 1990s, the first definition of sepsis was created, according to which sepsis was defined as systemic inflammatory response syndrome (SIRS), with the presence of suspicion or evidence of infection. Due to many inadequately diagnosed patients with sepsis, another definition was created, according to which sepsis is defined as a clinical syndrome. As the result of the lack of clarity of the previous definitions and the new information on the pathophysiological process of sepsis, a third definition of sepsis was developed in 2016. According to this definition, sepsis is a life-threatening condition based on organic dysfunction resulting from the body's inappropriate response to infection. Septic shock manifests as circulatory, cellular and metabolic instability. It is characterized by a serum lactate level higher than 2 mmol/l and hypotension, which requires vasopressor therapy after the administration of intravenous solutions. This definition of sepsis and septic shock enables early recognition and treatment of patients with sepsis, which are critical steps in reducing the incidence and mortality from this disease.

This study evaluates the influence of general anesthesia (GA) and spinal anesthesia (SA) on physiological and oxidative stress in parturients undergoing elective cesarean section, one of the most frequently performed surgical procedures worldwide. A total of 101 pregnant women were included, categorized into GA (n = 51) and SA (n = 50) groups. Blood samples were collected at three time points: one hour before surgery (Measurement 1), at umbilical cord clamping (Measurement 2), and two hours post-surgery (Measurement 3). Biomarkers of oxidative stress, complete blood count, and levels of biochemical parameters were measured. In second and/or third measurement, biochemical blood analysis showed increased prolactin and cortisol levels, followed by spike of glucose and insulin in the GA group. However, levels of tri-iodothyronine were reduced in both groups in the third measurement. Glutathione S-transferase (GST) activity was increased in both groups in third measurement. The results showed increased concentrations of total SH groups and decreased concentrations of non-protein SH groups in the GA group during Measurement 2. Lymphocyte count was found to be predictor of GST levels. The results indicate more a pronounced endocrine response in GA group and speak in favor of spinal anesthesia. Both kinds of anesthesia are equally safe in terms of the oxidative status of the tissue.