Exploring challenges in learning and study skills among first-year medical students: a case study.

BACKGROUND: Despite being high-achieving students, many medical students face academic challenges, particularly during their first year of study. Research indicates that self-regulated learning, involving metacognitive processes and adaptive strategies, can positively influence academic achievement. This study aimed to assess the early learning and study skills of first-year medical students in an international medical school with the goal of developing a learner-centered educational intervention to promote self-regulated learning. METHODS: We conducted a retrospective analysis of the Learning and Study Skills Inventory (LASSI) questionnaire that was administered annually each August to first-year medical students from 2019 to 2022. The distribution of students across different percentile ranges for each selected variable was determined for each year and all years collectively. Students were counted within distinct percentile brackets (50th and below, between 51st and 75th, and above 75th ) for each variable. RESULTS: A total of 147 students completed the LASSI questionnaire over the 4-year time period. Using academic resources was the greatest concern, with 67% of students in the 50th or below percentile, followed by selecting the main idea (56%), motivation (51%), and concentration (50%). Attitude scored highest across all cohorts, scoring between 21.55 ± 0.73 and 26.49 ± 0.34. In comparing mean scores of LASSI variables across all cohorts, attitude, motivation, test-taking strategies, time management, and the use of academic resources differed significantly (p < 0.05). CONCLUSION: LASSI data can provide an early picture of students' support needs. We posit that early identification of student learning and study skills and areas of struggle can inform personalized educational interventions and programs to support first-year medical students.

Metabolomics Analysis Revealed Significant Metabolic Changes in Brain Cancer Cells Treated with Paclitaxel and/or Etoposide.

Cancer of the central nervous system (CNS) is ranked as the 19th most prevalent form of the disease in 2020. This study aims to identify candidate biomarkers and metabolic pathways affected by paclitaxel and etoposide, which serve as potential treatments for glioblastoma, and are linked to the pathogenesis of glioblastoma. We utilized an untargeted metabolomics approach using the highly sensitive ultra-high-performance liquid chromatography-electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS) for identification. In this study, 92 and 94 metabolites in U87 and U373 cell lines were profiled, respectively. The produced metabolites were then analyzed utilizing t-tests, volcano plots, and enrichment analysis modules. Our analysis revealed distinct metabolites to be significantly dysregulated (nutriacholic acid, L-phenylalanine, L-arginine, guanosine, ADP, hypoxanthine, and guanine), and to a lesser extent, mevalonic acid in paclitaxel and/or etoposide treated cells. Furthermore, both urea and citric acid cycles, and metabolism of polyamines and amino acids (aspartate, arginine, and proline) were significantly enriched. These findings can be used to create a map that can be utilized to assess the antitumor effect of paclitaxel and/or etoposide within the studied cancer cells.

Appropriateness of the Direct Oral Anticoagulants Dosing in the Middle East Gulf Region.

ABSTRACT: Direct oral anticoagulants (DOACs) have proven efficacy to prevent cardioembolic strokes. Data are scarce about the appropriateness of DOAC dosing in the Middle East. We investigated the prevalence of inappropriate DOAC dosing in the region. A cross-sectional study was conducted at our hospital between April 2015 and February 2019 of patients receiving 1 of the 3 available DOACs. Patients with incomplete data sets, those prescribed DOACs for indications other than atrial fibrillation, on DOACs for <30 days, and dialysis patients were excluded. A total of 608 met the inclusion criteria. The mean age was 65.2 ± 13.9 years, and most were men (58.6%). The mean CHA2DS2-VASc score was 3.8 ± 2.0. There were 346 (56.9%) on apixaban, 123 (20.2%) on dabigatran, and 139 (22.9%) on rivaroxaban. The logistic regression model showed that for the 3 agents together, age, eGFR, major bleeding history, and history of prior stroke were significantly associated with the decision to inappropriately underdose (P < 0.05). Fifteen patients had an ischemic stroke after apixaban initiation (5 underdosed and 3 overdosed). Among patients with at least one follow-up encounter, major bleeding occurred in 13 patients (11.7%) with inappropriate dosing compared with 29 patients (6.0%) with appropriate dosing (P = 0.04). Ischemic stroke occurred in 11 patients (9.9%) with inappropriate dosing compared with 15 patients (3.1%) with appropriate dosing (P < 0.01). We concluded that inappropriate DOAC underdosing is common in our region, particularly with apixaban and rivaroxaban. It is associated with increased risk of stroke and bleeding. More education targeting prescribers is needed to encourage adherence to standard dosing criteria.

Outcomes of caspofungin use in the treatment of Candida-related urinary tract infections, a case series.

Echinocandins are generally excluded in the treatment of Candida-related urinary tract infections due to their poor urinary concentration. In the presence of fluconazole resistant Candida species, such as C. Glabrata and C. auris, alternative therapies are needed. We herein report the use of caspofungin for the treatment of 10 patients with candiduria, including C. auris. Mycological cure was achieved in 6 of 7 patients and clinical cure was achieved in 8 of 10 patients. Larger studies are needed to confirm our findings.

Identification of Insulin Resistance Biomarkers in Metabolic Syndrome Detected by UHPLC-ESI-QTOF-MS.

Metabolic syndrome (MetS) is a disorder characterized by a group of factors that can increase the risk of chronic diseases, including cardiovascular diseases and type 2 diabetes mellitus (T2D). Metabolomics has provided new insight into disease diagnosis and biomarker identification. This cross-sectional investigation used an untargeted metabolomics-based technique to uncover metabolomic alterations and their relationship to pathways in normoglycemic and prediabetic MetS participants to improve disease diagnosis. Plasma samples were collected from drug-naive prediabetic MetS patients (n = 26), normoglycemic MetS patients (n = 30), and healthy (normoglycemic lean) subjects (n = 30) who met the inclusion criteria for the study. The plasma samples were analyzed using highly sensitive ultra-high-performance liquid chromatography electrospray ionization quadrupole time-of-flight mass spectrometry (UHPLC-ESI-QTOF-MS). One-way ANOVA analysis revealed that 59 metabolites differed significantly among the three groups (p < 0.05). Glutamine, 5-hydroxy-L-tryptophan, L-sorbose, and hippurate were highly associated with MetS. However, 9-methyluric acid, sphinganine, and threonic acid were highly associated with prediabetes/MetS. Metabolic pathway analysis showed that arginine biosynthesis and glutathione metabolism were associated with MetS/prediabetes, while phenylalanine, D-glutamine and D-glutamate, and lysine degradation were highly impacted in MetS. The current study sheds light on the potential diagnostic value of some metabolites in metabolic syndrome and the role of their alteration on some of the metabolic pathways. More studies are needed in larger cohorts in order to verify the implication of the above metabolites on MetS and their diagnostic value.