Sodium-glucose transporter 2 inhibitors have been identified as pleiotropic pharmacological agents with demonstrated efficacy in a wide range of pathologies. Given the strong association between arrhythmias and significant comorbidities, exploring the potential antiarrhythmic effects of sodium-glucose transporter 2 inhibitors represents a critical therapeutic opportunity, particularly considering the limited efficacy and adverse profile of current antiarrhythmic drugs. The antiarrhythmic mechanisms of sodium-glucose transporter 2 inhibitors operate through direct cardiac ion channel modulation. Along with the ion channel effects, sodium-glucose transporter 2 inhibitors improve gap junction coupling by modulating connexin-43, lower sympathetic tone, maximize mitochondrial function, and induce metabolic reprogramming through adenosine monophosphate-activated protein kinase/sirtuin 1 activation and autophagy enhancement. Translating these encouraging mechanisms into focused antiarrhythmic strategies still requires establishing clear cause-and-effect links between sodium-glucose transporter 2 inhibitor therapy and arrhythmia prevention. Nevertheless, the current evidence regarding these effects remains inconsistent, underscoring the necessity for further research to elucidate the underlying mechanisms and resolve existing controversies.
Category Archives: AMM 2025
AMM 2025, Volume 71 Number 4
Role of artificial intelligence in detecting and grading cataracts using color fundus photographs: A systematic review and meta-analysis
Background: Cataracts are a leading cause of blindness and visual impairment worldwide, affecting millions of people. Early detection and accurate grading of cataracts are critical for timely intervention and improving patient outcomes. Artificial intelligence (AI), particularly deep learning, has emerged as a powerful tool for automating the detection and grading of cataracts using color fundus photographs.
Methods: A systematic review and meta-analysis was undertaken in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines; a thorough literature search through databases such as PubMed, IEEE Xplore, and Google Scholar was conducted. The search parameters were restricted to studies published within the time frame of January 2020 to March 2025.
Results: A total of six studies were included in this systematic review and meta-analysis. Utilizing DTA meta-analysis, sensitivity ranged from 0.88 to 0.99, while specificity ranged from 0.89 to 0.99. Diagnostic Odds Ratio was estimated at 88.5, indicating that patients with cataracts are nearly 89 times more likely to be correctly identified by the AI model than non-cataract patients being misclassified.
Conclusion: AI particularly deep learning, has made significant strides in detecting and grading cataracts using color fundus photographs. The high accuracy, cost-effectiveness, and accessibility of AI models make them a valuable tool for improving cataract screening and management. As research continues to advance, AI has the potential to revolutionize cataract care, enabling early detection and timely intervention for millions of people worldwide.
Intrauterine growth restriction – monitoring and pregnancy outcomes: A narrative review
Intrauterine growth restriction is described as a fetus not reaching its growth potential during pregnancy. Placental malperfusion is the main cause of Intrauterine growth restriction . Management of Intrauterine Gowth Restriction includes monitoring and determining the time of birth in order to reduce the risks of complications. Our review explore the current knowledge with regard to the monitoring of pregnancies with Intrauterine Growth Restriction and the role of biomarkers in this process. The importance of this issue is based on the poor outcomes of the pregnacies with severe intrauterine growth restriction. Our results show that different organizations make different recommendations for diagnosis and management in case of intrauterine growth restriction, somehow contradictory. Which means that in addition to ultrasound measurements, Doppler velocimetry, cardiotocography, biomarkers for prediction and diagnosis should be identified. Different biomarkers such as angiogenic factors, proteomics, genomics etc have been explored, poor pregnancy outcomes being associated with severe intrauterine growth restriction. Finding specific biomarkers is of crucial importance, in the context of multidisciplinary management.
Factors correlate with prolonged hospitalization in pediatric pneumonia: A retrospective analysis
Background: Community Acquired Pneumonia (CAP) is a common cause of pediatric hospitalization and remains a significant contributor to morbidity and healthcare burden globally. Prolonged hospital stays can complicate outcomes and strain healthcare systems. Identifying predictors of hospital stay duration may inform clinical decision-making and optimize care. This study aims to investigate clinical and biochemical factors correlate with the duration of hospitalization among pediatric patients with pneumonia.
Methods: A retrospective study conducted at a tertiary pediatric hospital Baghdad Iraq, over 6-months period on pediatric patients aged 2 months to <15 years diagnosed with CAP. Data collected included demographics, Clinical signs including vital signs at admission, and peripheral oxygen saturation (Spo2), duration of dyspnea, and time to defervescence. Laboratory parameters: white blood cell (WBC) count, absolute lymphocyte count, absolute neutrophil count, C-reactive protein (CRP) level, serum potassium, and serum sodium concentrations.
Results: A total of 240 child diagnosed with pneumonia were included. The average hospital stay were 7 ± 4.99 days with 142 (59.2%) had more than 7 days of hospitalization. Those had significantly higher mean respiratory rates, heart rate and body temperature and lower oxygen saturation levels. In addition, laboratory tests in children with prolonged hospitalization showed significantly higher WBC counts, neutrophil counts, and CRP levels with P-value (<0.001, 0.005, and <0.001 respectively). On logistic regression, three independent predictors were significantly associated with increased odds for prolonged hospital stay including elevated body temperature (OR= 6.194, 95% CI: 2.108 -18.199; P= 0.001), and lower oxygen saturation at time of admission (OR=0.783, 95% CI: 0.616-0.994; P=0.045) and heart rate (OR=0.947,95% CI: 0.906 -0.990; P= 0.017).
Conclusion: clinical signs at time of admission indicative of severe pneumonia -namely tachycardia, elevated body temperature, and hypoxia can be used to predict prolonged hospitalization in pediatric patients diagnosed with pneumonia.
Case report: Respiratory distress syndrome, recurrent pneumothorax, and multisystem complications in a late preterm neonate
Introduction: Pneumothorax in premature neonates remains a significant clinical issue, especially when linked to respiratory distress syndrome and systemic inflammation. Providing early respiratory support and customized interventions is essential to prevent life-threatening complications.
Objective: To present the complex and evolving management of a late preterm neonate with respiratory distress syndrome, bilateral recurrent pneumothorax, congenital pneumonia, and intraventricular hemorrhage.
Methods: A female newborn born at 36 weeks via cesarean due to placenta previa and uterine scarring showed worsening respiratory distress soon after birth. Her condition required various levels of respiratory support, including intratracheal surfactant, high-frequency oscillatory ventilation, and surgical pleural drainage. A suspected congenital infection caused a systemic inflammatory response, leading to extended, targeted antimicrobial treatment.
Results: Despite multiple episodes of respiratory decompensation and radiologically confirmed recurrent pneumothorax, the patient responded well to high-frequency oscillatory ventilation and surgical pleural drainage. Gradual clinical improvement allowed for stopping respiratory support by day twelve, leading to full recovery without additional complications.
Conclusion: This case highlights the critical importance of personalized, step-by-step management in preterm neonates with respiratory distress syndrome complicated by recurrent pneumothorax and infectious comorbidities, emphasizing the therapeutic benefits of early surfactant therapy, high-frequency oscillatory ventilation, surgical pleural drainage, and targeted antimicrobial treatment.
Preclinical evaluation of an innovative dietary intervention for non-alcoholic hepatic steatosis in Sprague-Dawley rats
Objective: We developed an innovative food designed for special nutritional needs, intended as an adjuvant in the prevention or treatment of non-alcoholic hepatic steatosis. This study evaluates its preclinical effectiveness, with results aimed to inform future clinical trial design in more homogeneous patient populations.
Methods: This preclinical experimental study involved 32 Sprague-Dawley rats divided into four groups: a Control group (standard diet), a High Fat Diet group (30% and 60% fat), Experimental group 1 (high fat diet followed by innovative food), and Experimental group 2 (high fat diet and innovative food administered concurrently). Body weight, urine, blood glucose, and 11 hepatic parameters were measured at the end of the induction and intervention phases.
Results: High fat feeding increased energy intake, weight gain, and fat mass, particularly in males. A decrease in food and water intake was noted during the induction phase in high fat feeding groups. The High Fat Died group showed persistent signs of liver stress. Experimental group 1 showed consistent improvements, with individual variability in response to innovative food intervention. Experimental group 2 showed significant results during induction stages, indicating a stronger protective effect.
Conclusions: A high fat feeding with 30% fat over 10 weeks was insufficient to induce hepatic steatosis, while a 60% fat feeding for additional 5 weeks successfully induced obesity and liver pathology. Post-induction innovative food intervention reduced weight gain and improved liver biomarkers. Blood glucose, transaminases, alkaline phosphatase, and total cholesterol levels suggest that innovative food has protective effects, supporting its potential use in preventing and managing non-alcoholic fatty liver disease.
Alcohol intake and markers of liver health in patients with type 2 diabetes and metabolic dysfunction–associated steatotic liver disease
Objective: The study evaluated the impact of low-level alcohol intake on liver health in patients with type 2 diabetes (T2DM) and metabolic dysfunction–associated steatotic liver disease (MASLD).
Methods: In this prospective study T2DM patients with MASLD (alcohol intake <20 g/day (women) and <30 g/day (men)) underwent a comprehensive clinical and laboratory evaluation at baseline (v1) and after 12 months (v2). Alcohol consumption was assessed using the AUDIT-C questionnaire and a detailed clinical interview. Markers of liver health were measured, and liver steatosis and fibrosis were evaluated with non-invasive indexes, including the Liver Risk Score (LRS), an indicator of the risk of liver fibrosis and liver-related events. Results: The average alcohol intake was 0.47 [2.77] g/day. Patients with an average intake >10 g alcohol/day showed significantly higher levels of aspartate aminotransferase, gamma glutamyl transpeptidase (GGT), direct bilirubin, ferritin, and higher LRS (7.86±1.64 vs. 6.86 [1.46] vs. 6.49 [1.71]; p=0.0039) at v1 compared to those who consumed <10 g/day or were abstinent. At v2, the aminotransferases and LRS were higher in patients with an alcohol intake >10 g/day compared with the other groups. In the multivariable analyses, GGT (β=0.168;p=0.008) and male sex (β=0.417;p<0.001) were independently correlated with the average alcohol intake. Drinking more than one type of alcoholic beverage significantly increased the LRS (v1: 7.02 [1.38] vs. 6.69 [1.43], p=0.0387; v2: 6.88 [1.25] vs. 6.42 [1.24], p=0.0010).
Conclusions: In patients with T2DM and MASLD, even minimal alcohol consumption is associated with markers of liver injury and higher risk of liver-related outcomes.
Clinical profile of comorbidities in patients with severe asthma undergoing benralizumab biologic therapy
Objective: This study aims to analyze the comorbidity profile of patients with severe asthma undergoing benralizumab therapy in a Romanian academic center, focusing on the impact of these comorbidities on disease management.
Methods: A retrospective analysis was conducted on 34 adult patients with severe asthma treated with benralizumab between 2020 and 2025 at the Pneumology Department of Mures County Clinical Hospital. Demographic, clinical, functional, and biological parameters were analyzed, including comorbidities, lung function tests, eosinophil counts, fractional exhaled nitric oxide, and Asthma Control Test scores. Non-parametric statistical tests were applied, with significance set at p<0.05.
Results: The study revealed a complex comorbidity profile. Cardiovascular diseases were most prevalent: hypertension was found in 91.2% of patients, ischemic heart disease in 47.1%, and heart failure in 17.6%. Pulmonary comorbidities included bronchiectasis (41.2%), pneumonia (82.4%), and obstructive sleep apnea (8.8%). ENT comorbidities were also frequent, with nasal polyposis in 35.3% and chronic rhinosinusitis in 32.4%. Metabolic conditions such as obesity (26.5%) and type 2 diabetes (29.4%) were common. Despite this burden, benralizumab therapy resulted in significant improvements in lung function, symptom control, and biomarkers, with eosinophil depletion, FeNO reduction, and improved ACT scores (p<0.001).
Conclusions: Patients with severe asthma treated with benralizumab present a high prevalence of cardiovascular, pulmonary, and metabolic comorbidities. Benralizumab therapy proved effective in reducing airway inflammation and improving clinical control, regardless of the comorbidity load. A multidimensional, personalized management approach remains essential for optimizing outcomes in this population.
Trust in social media health sources in Mureș County, Romania
Objective: This study investigates trust in health-related content sources on social media among Mureș County, Romania residents.
Methods: An online survey was administered using a 23-item questionnaire to assess demographics, frequency of social media usage, and trust in health information sources.
Results: Of the 419 respondents, religious figures emerged as the most trusted source of medical information, followed by doctors. Trust in religious figures was significantly higher among individuals with lower education levels and those who used social media frequently but for short durations. Correlation analysis indicated a weak positive relationship between social media usage and trust in information.
Conclusions: The findings highlight the unexpectedly high relevance of clergy in Romanian communities within such a specialized field, emphasizing the importance of involving trusted local figures in health communication strategies.






