Association between gamma glutamyl transpeptidase to HDL-Cholesterol (GGT/HDL-C) ratio and metabolic syndrome resolution after sleeve gastrectomy.

OBJECTIVE: To evaluate the association between GGT/HDL-C ratio and resolution of MetS in adults after sleeve gastrectomy (SG). METHODS: We conducted a retrospective cohort study using secondary data from a Peruvian bariatric center. The study population consisted of adults aged 18 and above who underwent laparoscopic SG and were diagnosed with MetS prior to the surgery. The main outcome measured was MetS resolution 6 months post-surgery and the exposure variable was the GGT/HDL-C ratio. RESULTS: We analyzed 137 patients with a mean age of 38.9 ± 10.9 years; 64.2% were females. The median GGT/HDL-C ratio was 1.1 [0.7 - 1.5], and 83.9% of patients experienced resolution of MetS. Furthermore, both the middle tertile of GGT/HDL-C (aRR: 1.28; 95% CI: 1.04 - 1.58; p = .019) and the lowest tertile (aRR: 1.27; 95% CI: 1.01 - 1.60; p = .038) showed a significant association with the resolution of MetS. CONCLUSION: Eight out of 10 patients undergoing SG experience resolution of MetS within 6 months after surgery. Patients in the middle and lower tertiles of the GGT/HDL-C were more likely to achieve this outcome. Therefore, the GGT/HDL-C ratio should be considered a valuable and efficient biomarker for preoperative assessment of bariatric surgery candidates.

Use of a 3D virtual app and academic performance in the study of the anatomy of the musculoskeletal system among Peruvian medical students.

OBJECTIVE: To evaluate the association between the use of a 3D virtual App and academic performance among Peruvian medical students. In addition, factors associated with academic performance were also assessed. METHODS: We conducted an analytical cross-sectional study in students enrolled in the Musculoskeletal System course during the first semester of 2019. Students filled out a data collection form and the "Self-directed learning readiness scale" (SDLRS) questionnaire adapted by Fisher, King, and Tangle. Linear regression models were carried out to assess the association between the appropriate use of the application and academic performance. Additionally, the factors associated with academic performance were evaluated using nested models, and ß coefficients were calculated by manual forward selection. RESULTS: A total of 187 medical students were included. The 61% were female and the median age was 21 [20-22] years. The average grade was 13.5 ± 2 and 21% reported an adequate use of a 3D App. No association was found between the use of the 3D App and academic performance in the adjusted model (aß = 0.17; 95% CI: -0.45 to 0.80). We found that age (aß = -0.22; 95% CI: -0.39 to -0.06), performing extracurricular activities (aß = 0.75, 95% CI: 0.25 to 1.24) and having failed an anatomy/physiology course before (aß = -2.11 to 95% CI: -2.9 to -1.8) were factors associated with academic performance. CONCLUSION: The adequate use of a 3D application to study the anatomy of the musculoskeletal system was not significantly associated with better academic performance.