The phytochemical analysis of the investigated Immortelle essential oil revealed the presence of monoterpenes and sesquiterpenes as major components that might be efficient as a wound healing potential agent. The present study aimed to develop an ointment based on the Immortelle essential oil and investigate its wound healing effects on excision wounds in diabetic rats. The topical formulated Immortelle ointment was subjected to pharmaco-technical characterization. Thirty-two diabetic rats with the induced excision wound were used to evaluate in vivo wound healing effects of ointment. The animals were randomly divided into four groups untreated or topically treated with either a 1% silver sulfadiazine, the ointment base, or Immortelle ointment. The response to the treatment was assessed by macroscopic, biochemical and histopathological analysis. The ointment, compatible with the skin remained stable for 6 months. Topical application of the Immortelle ointment showed the highest wound contraction with the highest content of hydroxyproline in comparison to the all examined groups. The Immortelle ointment showed significant wound contraction from day 7 to day 21 as compared to other groups. On the day 21, there was an average of 99.32% wound contraction in the Immortelle group, whereas the mean wound contraction in the negative control and ointment base group was 71.36% and 81.26% respectively. The histopathological results validated the potential wound healing effect of Immortelle ointment with evident post-excision scar maturation and increased collagen fibers density. Our findings revealed that the Immortelle ointment approach might serve as a promising and innovative tool for wound healing.

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a global pandemic and one group of patients has developed a severe form of COVID-19 pneumonia with an urgent need for hospitalization and intensive care unit (ICU) admission. The aim of our study was to evaluate the prognostic role of MDW, CRP, procalcitonin (PCT), and lactate in critically ill COVID-19 patients. The primary outcome of interest is the 28 day mortality of ICU patients with confirmed SARS-CoV-2 infection and sepsis (according to Sepsis 3 criteria with acute change in SOFA score ≥ 2 points). Patients were divided into two groups according to survival on the 28th day after admission to the ICU. Every group was divided into two subgroups (women and men). Nonparametric tests (Mann–Whitney) for variables age, PCT, lactate, and MDW were lower than alpha p < 0.05, so there was a significant difference between survived and deceased patients. The Chi-square test confirmed statistically significant higher values of MDW and lactate in the non-survivor group. We found a significant association between MDW, lactate, procalcitonin, and fatal outcome, higher values were reported in the deceased group.

Background: The influenza virus and the novel beta coronavirus (SARS-CoV-2) have similar transmission characteristics, and it is very difficult to distinguish them clinically. With the development of information technologies, novel opportunities have arisen for the application of intelligent software systems in disease diagnosis and patient triage. Methods: A cross-sectional study was conducted on 268 infants: 133 infants with a SARS-CoV-2 infection and 135 infants with an influenza virus infection. In total, 10 hematochemical variables were used to construct an automated machine learning model. Results: An accuracy range from 53.8% to 60.7% was obtained by applying support vector machine, random forest, k-nearest neighbors, logistic regression, and neural network models. Alternatively, an automated model convincingly outperformed other models with an accuracy of 98.4%. The proposed automated algorithm recommended a random tree model, a randomization-based ensemble method, as the most appropriate for the given dataset. Conclusions: The application of automated machine learning in clinical practice can contribute to more objective, accurate, and rapid diagnosis of SARS-CoV-2 and influenza virus infections in children.

This study aims to find the effects of high (75%) and low (30%) humidity conditions and its correlation with formulation composition on dissolution kinetics of lamotrigine (LMT) from prepared immediate-release tablets during one- and four-week periods. Two types of fillers microcrystalline cellulose (MCC) or anhydrous lactose (LAC), disintegrant sodium starch glycolate (NaSG, 0.5% or 4%), and lubricant magnesium stearate (MgST, 0.25% or 5%) were used. A three-factor two-stage complete factorial design (2³) was used to assess the influence of the composition of the tested formulations. The tablets were produced by direct compression and characterized using a disintegration test, a resistance to crushing test, and dissolution tests (pH 1.2 and pH 6.8). Using Design Expert software, it was concluded that in addition to the effect of fillers on pH 6.8, NaSG has a significant impact after exposure to high and low humidity, as well as its interaction with LAC and MCC. In the dissolution medium pH 1.2, under conditions of high humidity, the content of MgST and NaSG and their interaction show a significant influence. The release rate of LMT was affected by humidity as well as type of excipients and their interactions.

High-dose intravenous vitamin C (HDIVC) has been investigated as a potential adjunctive therapy in critical illness, including sepsis, acute respiratory distress syndrome (ARDS), and COVID-19. Despite a strong mechanistic rationale, clinical trials have yielded inconsistent results. From a clinical pharmacology perspective, this variability may reflect, at least in part, differences in pharmacokinetic exposure, timing of administration, and patient selection rather than a lack of biological activity. Intravenous administration enables plasma concentrations in the millimolar range (≈1–5 mM), far exceeding those achievable with oral dosing (<100 µM), thereby reaching thresholds required for pharmacodynamic effects on oxidative stress, immune signaling, and endothelial function. This exposure-dependent transition distinguishes vitamin C as a pharmacological agent rather than a nutritional supplement in critically ill populations. Therapeutic response may be influenced by timing relative to disease progression, with earlier administration representing a biologically plausible strategy that warrants prospective evaluation rather than a clinically established therapeutic window. Interindividual variability in transporter function, redox status, and genetic background may further contribute to heterogeneous responses. Biomarkers such as interleukin-6 (IL-6), C-reactive protein (CRP), D-dimer, and markers of endothelial injury provide a framework for patient stratification and monitoring of pharmacodynamic effects. Integrated with pharmacokinetic principles, these markers support a shift toward biomarker-guided, precision-based therapeutic strategies. This review synthesizes current clinical and mechanistic evidence through an exposure–response conceptual framework, framing HDIVC as a context-dependent pharmacological intervention and advancing a shift toward biomarker-guided, precision-based therapeutic strategies in critical illness.