Medicine
-
Syncope is a common condition in emergency departments, posing a diagnostic challenge due to its multifactorial nature. Among the potential causes, carotid sinus hypersensitivity leading to carotid sinus syndrome (CSS) is a significant consideration that can severely impact patient quality of life. Despite its importance, establishing effective treatment methods for CSS has been difficult. ⋯ The case highlights the effectiveness of transcutaneous stellate ganglion block therapy in treating CSS. It suggests that further research and clinical trials are needed to validate this treatment's efficacy, potentially offering a new therapeutic option for patients suffering from CSS.
-
Anti-CD19 chimeric antigen receptor T-cell (CAR-T) therapy is a successful treatment for B-cell malignancies associated with cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS). Cardiovascular toxicities have also been reported in this setting. However, there is scarce data regarding development of autonomic disorders after CAR-T cell therapy. ⋯ New-onset autonomic dysfunction can occur as manifestation of ICANS in patients who experience persistent neurologic and cardiovascular symptoms after resolution of acute neurotoxicity and should be early recognized. Differences in differential diagnosis, mechanisms and treatment approaches are discussed.
-
Tongxie Yaofang (TXYF), a classical traditional Chinese medicine, is commonly used in China to treat ulcerative colitis (UC). The aim of this study was to integrate network pharmacology with molecular docking and molecular dynamics simulations to explore the mechanism of Tongxie Yaofang in the treatment of UC. The traditional Chinese medicine systems pharmacology database was used to retrieve the relevant chemical compositions of the herbs contained in TXYF. ⋯ AKT1 may be the most critical target of TXYF in treating UC, and the key chemical components of TXYF in treating UC may include β-sitosterol (MOL000358) and 11alpha,12alpha-epoxy-3beta-23-dihydroxy-30-norolean-20-en-28,12beta-olide (MOL00 1910). This study revealed that TXYF may exert therapeutic effects on UC through multiple targets, multiple biological functions, and multiple signaling pathways. This study provides a new insight into the pharmacological mechanism of TXYF in treating UC.
-
Addressing antimicrobial resistance (AMR) stands as a major global health challenge threatening humanity. Resolving this issue can be initiated through emphasizing the significance of AMR education among students in health colleges during their undergraduate studies. Hence, the aim of this study is to assess the pharmacy students' knowledge, attitudes, and practices regarding antibiotic resistance in 7 Middle Eastern countries. ⋯ The majority of the students agreed that antibiotic resistance is increasing, they should be more concerned regarding antibiotic consumption and that government should create more awareness of antibiotic resistance, and that they should have enough knowledge to prevent antibiotic resistance. Around 3 quarters of the students (73.0%) confirmed that they take antibiotic only after getting prescription from their physician and almost half (51.7%) reported that they take antibiotic to manage their fever. The study concluded good educational programs in Middle East pharmacy schools with the need for targeted educational interventions promoting responsible antibiotic stewardship practices among future pharmacists.
-
Contrast-MRI scans carry risks associated with the chemical contrast agents. Accurate prediction of enhancement pattern of gliomas has potential in avoiding contrast agent administration to patients. This study aimed to develop a machine learning radiomics model that can accurately predict enhancement pattern of gliomas based on T2 fluid attenuated inversion recovery images. ⋯ This study demonstrated that the radiomics model comprising of 15 features using the Gaussian process as a classifier had the highest predictive performance in both the training cohort and the internal validation cohort, with the area under the curve being 0.88 and 0.80, respectively. This model showed an area under the curve, sensitivity, specificity, positive predictive value and negative predictive value of 0.81, 0.98, 0.61, 0.82, 0.76 and 0.96, respectively, in the external validation cohort. This study suggests that the T2-FLAIR-based machine learning radiomics model can accurately predict enhancement pattern of glioma.