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Evidence regarding the relation between SARS-CoV-2 mortality and the underlying medical condition is scarce. We conducted an observational, retrospective study based on Romanian official data about location, age, gender and comorbidities for COVID-19 fatalities. Our findings indicate that males, hypertension, diabetes, obesity and chronic kidney disease were most frequent in the COVID-19 fatalities, that the burden of disease was low, and that the prognosis for 1-year survival probability was high in the sample. Evidence shows that age-dependent pairs of comorbidities could be a negative prognosis factor for the severity of disease for the SARS-CoV 2 infection.

Satureja hortensis L. (summer savory) is an annual herbaceous crop, native to Europe and in our days spread and used all over the world. Although its use as spice and medicinal plant is known since ancient times, peer-reviewed studies presenting the scientific data are scarce. The natural products obtained from summer savory (extracts and essential oil) are dominated by polyphenols and flavonoids, responsible for their antioxidant, antimicrobial, antiparasitic, pesticidal, anti-inflammatory, analgesic, hepatoprotective and anticancer properties, among others. The current study presents the progress made in the last decade regarding the potential applications of summer savory, being the first review study focused on S. hortensis, in the same time suggesting future research opportunities, as they appear from the properties of other Satureja species. The available data presenting the properties of summer savory represents a scientific support for application in industry, for developing “clean label” food products.

Urinary tract infections (UTIs) represent a major cause of morbidity among adult women, with a disproportionate burden among postmenopausal patients. Limited data exist from Eastern Europe regarding pathogen distribution, antimicrobial resistance, and treatment patterns in hospitalized women. We conducted a retrospective cohort study of 948 adult female patients hospitalized with symptomatic UTIs between January 2021 and December 2023 in a Romanian multidisciplinary hospital. Demographic, clinical, and microbiological parameters were analyzed. Pathogen identification was performed by MALDI-TOF MS, and antimicrobial susceptibility testing followed EUCAST 2024 standards. Empiric treatment strategies and subsequent therapy modifications were assessed. Postmenopausal women accounted for 78.4% of cases and exhibited higher rates of recurrent UTIs, frailty, diabetes, urinary catheterization, and prior antibiotic exposure. Escherichia coli remained the predominant pathogen (52.6%), followed by Klebsiella spp. (18.4%) and Enterococcus spp. (12.1%). ESBL-producing organisms were found in 21.4% of E. coli and 38.7% of Klebsiella isolates. Pathogen distribution differed by age: younger women had a higher proportion of E. coli, whereas postmenopausal women showed a relative increase in opportunistic/healthcare-associated pathogens, particularly Klebsiella spp. and Enterococcus spp., consistent with higher catheter exposure and comorbidity burden. Carbapenem resistance was rare but present in a small subset of Klebsiella isolates with phenotypes compatible with OXA-48-like carbapenemase production. Empiric therapy most frequently included ceftriaxone or fluoroquinolones, but 27.8% of regimens required adjustment after susceptibility results. Independent predictors of prolonged hospitalization included age > 65 years, recurrent UTI, MDR infection, urinary catheterization, and delayed targeted therapy. UTIs among hospitalized adult women—especially postmenopausal patients—are strongly influenced by comorbidity burden and antimicrobial resistance. Local resistance patterns highlight the need for evidence-based empiric treatment and rapid therapy optimization. Strengthening stewardship and preventive interventions in elderly women is essential.

Introduction: Urinary tract infections (UTIs) in male patients are a topic that has received less attention in the medical literature. Current management strategies recommended by most guidelines are largely based on research involving female populations, which limits their applicability to men, in whom UTIs are often considered complicated. While the COVID-19 pandemic has brought about many changes in antibiotic treatment, this study aims to compare antimicrobial resistance patterns of uropathogens in male patients between the COVID-19 pandemic and post-pandemic periods. Materials and Methods: A retrospective descriptive study including urine-culture positive cases in male patients was conducted at a tertiary-level university urology center in Bucharest, Romania. To assess temporal trends, the analysis used four selected six-month intervals during the COVID-19 pandemic (2020–2022) and the post-pandemic period (2023–2025). Inclusion was limited to adult male patients aged at least 18 years who had a single identified pathogen and significant bacteriuria (at least 105 CFU/mL). Duplicate and polymicrobial samples were excluded. In accordance with CLSI guidelines, bacteria were identified and antimicrobial susceptibility was assessed using standard microbiological methods. Statistical analysis was made using Python 3.11.3. Results: A total of 3158 urine positive urine cultures from male patients were included. Gram-negative isolates were the most frequent, with E. coli being the most common urinary pathogen, followed by Klebsiella. The most common Gram-positive isolate was Enterococcus. Antimicrobial resistance in Gram-negative pathogens were higher in the post-pandemic period compared to the pandemic period, particularly to amoxicillin-clavulanic acid, and levofloxacin, with carbapenem resistance exceeding 20%. E. coli showed increased resistance rates to levofloxacin, and amoxicillin-clavulanic acid, and ceftazidime. Resistance of Klebsiella spp. exceeded 30% for imipenem and meropenem. Resistance to amoxicillin-clavulanic, ceftazidime, and imipenem acid increased in Proteus spp. Even though Pseudomonas spp.demonstrated higher resistance rates to several antibiotics, no statistical differences were observed. Enterococcus spp. showed a stable profile, demonstrating resistance to levofloxacin, penicillin, and ampicillin. Conclusion: Among male patients, uropathogens’ antimicrobial resistance was higher in the post-pandemic period compared to the COVID-19 period, particularly among Gram-negative bacteria. Regarding empirical therapy, there are significant concerns regarding the rise in resistance to antibiotics such as fluoroquinolones and β-lactams, as well as the emergence of resistance to carbapenems.

The intestinal microbiota refers to the collection of microorganisms that exist in the human gut. It has been said that bacteria influence the development of metabolic diseases, such as diabetes mellitus, as they have roles in immunomodulation, protection against pathogens, blood vessel growth, repairing the intestinal wall, and the development of the neurological system. In this review, we look at the latest research regarding interactions between gut microbiota and oral antihyperglycemic drugs and we present data suggesting that the microbiome may help counteract the reduced glucose tolerance and insulin resistance associated with metabolic disorders. We found that antidiabetic drugs can have significant impacts on gut microbiota composition and function, potentially influencing both the efficacy and side effects of these medications. Additionally, we discovered that microbial-based therapeutics, including probiotics, prebiotics, and postbiotics, and fecal microbiota can be considered when discussing preventive measures and personalized treatment options for type 2 diabetes mellitus. Understanding how antidiabetic drugs modulate gut microbiota composition and function is essential for optimizing their therapeutic efficacy and minimizing potential adverse effects. The relationship between the gut microbiota and glycemic agents, not fully understood, is currently the subject of increasing research and discussion. It has been proven that the microbiome can impact the effectiveness of the medications, but further research in this field may uncover novel therapeutic strategies for diabetes and other metabolic disorders by targeting the gut microbiota.

Background and Objectives: Acute and obstructive pyelonephritis (AOP) management, despite advancements in diagnostic imaging and antimicrobial therapy, is characterized by delayed recognition and increasing antimicrobial resistance. This review aimed to summarize current evidence regarding the clinical characteristics, microbiological spectrum, biomarkers, and imaging findings associated with AOP. Materials and Methods: A systematic review was conducted according to PRISMA guidelines and registered in PROSPERO (CRD420251162736). Literature searches were performed across the PubMed, Scopus, and Web of Science databases for articles published between January 2014 and 31 March 2025 using the term “acute obstructive pyelonephritis”. Inclusion criteria comprised original full-text English-language studies, published in the last 10 years and conducted in adults, reporting clinical, laboratory, microbiological, and imaging characteristics. Exclusion criteria are letters to the editor, expert opinions, case reports, conference or meeting abstracts, reviews, and redundant publications; having unclear or incomplete data; and being performed on cell cultures or on mammals. The quality of included studies was assessed using the Newcastle–Ottawa Scale. Results: Twenty-three studies met the inclusion criteria. AOP predominantly affected elderly patients with comorbidities, especially diabetes mellitus and urinary tract obstruction. Predictors of septic shock included thrombocytopenia, hypoalbuminemia, elevated procalcitonin (>1.12 µg/L), presepsin, and a neutrophil-to-lymphocyte ratio ≥ 8.7. Escherichia coli remained the leading pathogen (60–95%) with extended-spectrum β-lactamase (ESBL) rates between 20 and 70%, followed by Klebsiella pneumoniae. CT demonstrated 71–100% sensitivity for detecting obstructive complications, confirming its superiority over ultrasound, while MRI provided comparable diagnostic accuracy in selected cases. Source control through double-J stenting or percutaneous drainage significantly improved survival. Conclusions: AOP requires prompt recognition and early decompression to prevent sepsis-related mortality. Biomarkers such as procalcitonin, presepsin, and neutrophil to lymphocyte ratio enhance risk stratification, while CT remains the gold-standard imaging modality. The increasing prevalence of ESBL-producing pathogens underscores the need for antimicrobial stewardship and individualized therapeutic strategies guided by local resistance data.

Worldwide, prostate cancer (PC) has a rising incidence and is the sixth leading cause of death globally, especially with increasing cases in developing countries. Risk factors for PC include genetic predisposition, family history, race/ethnicity, and various occupational factors like diet, obesity, smoking, and transmitted diseases. The Janus kinase (JAK)-signal transducer and activator of transcription (STAT) pathway can be activated by hormones, cytokines, and growth factors, and it plays a role in many vital biological processes such as cell growth, differentiation, immune regulation, and apoptosis. Dysregulation of JAK/STAT3 can lead to cancer, inflammation, diabetes, and neurodegenerative disorders. In cancers, including PC, STAT3 promotes cell survival, progression, angiogenesis, and metastasis. Inhibitors targeting JAK and STAT3 tested in vivo have shown potential to inhibit malignant cell growth. Additionally, flavonoids are bioactive plant compounds that are important in preventing inflammation, oxidative stress, and cancer. Research indicates that natural flavonoids can be developed into cancer-preventive and therapeutic agents. Experimental studies have demonstrated that some flavonoids can inhibit PC development. The main goal of this review is to present the incidence and risk factors of PC, the JAK/STAT3 pathway and its inhibitors, and how flavonoids may influence this pathology.

Background/Objectives: The prevalence of dental caries in Romania is significantly high, especially among children and adolescents. We aimed to assess the prevalence of dental caries and their associated factors among schoolchildren aged 6–11 years learning at urban and rural schools from Mureş County, Romania. Methods: This cross-sectional study included a sample of 1124 children, aged 6–8 years (n = 524), as well as aged 9–11 years (n = 600). Nine schools in Mureş County, Romania, were selected for screening, based on their location (4 schools from urban areas and 5 schools from rural areas). Data were collected based on children’s visual dental screenings and a self-administered questionnaire addressed to their parents to collect information about oral health behaviors, sugar consumption, and dental care history. Dental clinical examination was performed by specialists, and DMFT/dmft values were recorded. Binary logistic and negative binomial regression analyses were used to assess the factors associated with dental caries. Results: Among 6–8-year-olds, the prevalence of untreated decay was 76.5% and the prevalence of caries experience was 77.7% (mean dmft = 3.9). Among 9–11-year-olds, the prevalence of untreated decay was 43.5% and the prevalence of caries experience was 48.2% (mean DMFT = 1.9). Among the most significant factors associated with caries prevalence were school location (p = 0.04 for children aged 6–8 years, and p < 0.001 for 9–11 years); the employment status of mothers (p = 0.04 for 9–11 years); eating sweets ≥4 times/day (p = 0.04 for 6–8 years); brushing time ≥3 min (p = 0.03 for 9–11 years); as well as past dental restorative treatments or emergency (p < 0.001 for all the children examined). Conclusions: Preventive measures and innovative educational interventions are needed to mitigate the impact of dental caries prevalence on the health and education of schoolchildren.

Background: The gut microbiota plays a critical role in metabolic health and type 2 diabetes mellitus (T2DM). Alterations in microbial composition may influence glycemic control and systemic inflammation. Materials and methods: In this single-center, randomized study, 60 adults with T2DM receiving metformin were evaluated biologically and received either empagliflozin or sitagliptin. Demographic, metabolic, and lifestyle data were collected. Gut microbiota profiling was conducted at two timepoints to assess changes in bacterial and fungal taxa. Blood glucose, HbA1c, and inflammation markers were analyzed longitudinally. Results: Both treatment groups showed significant improvements in glycemic control. Median fasting glucose decreased from 132 to 123 mg/dL (p = 0.046) in the sitagliptin group and from 131 to 114 mg/dL (p = 0.025) in the empagliflozin group. Median HbA1c levels declined significantly in both groups, with a greater reduction in the empagliflozin group (p = 0.001 vs. p = 0.049). The microbiota analysis revealed an increase in beneficial bacteria (e.g., Bifidobacterium spp. and Lactobacillus spp.) and a decrease in pro-inflammatory taxa (Escherichia coli and Streptococcus spp.). Notably, empagliflozin was associated with a more pronounced microbiota rebalancing and a significant decline in fungal overgrowth (e.g., Candida spp.; p = 0.034). Conclusions: Treatment with sitagliptin and empagliflozin led to improved glycemic outcomes and partial restoration of gut microbial balance in T2DM patients. Empagliflozin showed superior efficacy in modulating both glycemia and dysbiosis.

Adrenal glands are vital endocrine organs whose accurate segmentation on CT imaging presents significant challenges due to their small size and variable morphology. This study evaluates the efficacy of deep learning approaches for automatic adrenal gland segmentation from multiphase CT scans. We implemented three convolutional neural network architectures (U-Net, SegNet, and NablaNet) and assessed their performance on a dataset comprising 868 adrenal glands from contrast-enhanced abdominal CT scans. Performance was evaluated using the Dice similarity coefficient (DSC), alongside practical implementation metrics including training and deployment time. U-Net demonstrated superior segmentation performance (DSC: 0.630 ± 0.05 for right, 0.660 ± 0.06 for left adrenal glands) compared to NablaNet (DSC: 0.552 ± 0.08 for right, 0.550 ± 0.07 for left) and SegNet (DSC: 0.320 ± 0.10 for right, 0.335 ± 0.09 for left). While all models achieved high specificity, boundary delineation accuracy remained challenging. Our findings demonstrate the feasibility of deep learning-based adrenal gland segmentation while highlighting the persistent challenges in achieving the segmentation quality observed with larger abdominal organs. U-Net provides the optimal balance between accuracy and computational requirements, establishing a foundation for further refinement of AI-assisted adrenal imaging tools.