Diversity of pharmacogenomic variants affecting warfarin metabolism in Sri Lankans.

Aims: To describe the diversity of pharmacogenomic variants affecting warfarin metabolism in Sri Lankans. Materials & methods: Genotype data were filtered out from an anonymized database of 400 Sri Lankans, and minor allele frequencies (MAF) were calculated. Variants of CYP2C9, VKORC1 and CYP4F2 genes were studied. Results: Overall, CYP2C9*2 and CYP2C9*3 alleles had MAFs of 2.25% (95% CI: 0.80-3.70) and 10.38% (95% CI: 7.50-13.50), respectively. CYP2C9*11 and CYP2C9*14 alleles had MAFs of 0.13% (95% CI: 0-0.74) and 2.50% (95% CI: 0.97-4.03), respectively. MAFs of VKORC1 variants rs7294, rs9934438, rs8050894 and rs2884737 were 47.25% (95% CI: 42.36-52.14), 10.13% (95% CI: 7.28-13.22), 9.88% (95% CI: 7.06-12.94) and 4.88% (95% CI: 2.86-7.14), respectively. MAF of CYP4F2 variant rs2108622 was 45.63% (95% CI: 40.87-50.63). Conclusion: Compared with other populations, the frequencies of some studied variants were significantly different in Sri Lankans, and these are likely to account for variability in warfarin dosage requirements.

Temporal changes in emotional intelligence (EI) among medical undergraduates: a 5-year follow up study.

BACKGROUND: Emotional intelligence (EI) is thought to play a significant role in professional and academic success. EI is important for medical personnel to cope with highly stressful circumstances during clinical and academic settings. The present prospective follow-up study intends to evaluate the changes in EI and their correlates among medical undergraduates over a five-year period. METHODS: Data were collected in 2015 and 2020 at the Faculty of Medicine, University of Colombo, Sri Lanka. EI was assessed using the validated 33-item self-assessment tool, Schutte Self-Report Emotional Intelligence Test (SSEIT). In addition, socio-demographic details, students' involvement in extracurricular-activities during undergraduate life, students' satisfaction regarding the choice of studying medicine and plans to do postgraduate studies were also evaluated. A multiple-regression analysis was conducted among all students using percentage change in EI score as the continuous dependent variable, together with other independent variables (plan to do postgraduate studies, satisfaction in choice of medicine and extracurricular-activities). RESULTS: Sample size was 170 (response rates-96.6%), with 41.2% males (n = 70). Mean EI scores at baseline among all students was 122.7 ± 11.6, and it had significantly increased at follow-up to 128.9 ± 11.2 (p <  0.001). This significant increase was independently observed in both males (122.1 ± 12.2 vs. 130.0 ± 12.4, p <  0.001) and females (123.1 ± 11.1 vs. 128.2 ± 10.3, p = 0.001). During follow-up, an increase in EI score was observed in students of all religions and ethnicities. Mean EI score also increased in all categories of monthly income, irrespective of the employment status or attainment of higher education of either parent. An increase in mean EI score during follow-up was observed in students irrespective of their engagement in or number of extracurricular-activities, they were involved. In the multiple regression analysis, being satisfied regarding their choice of the medical undergraduate programme (OR:11.75, p = 0.001) was the only significant factor associated with the percentage change in EI score. CONCLUSION: EI in this group significantly improved over 5-years of follow-up and was independent of gender, religion, ethnicity, socio-economic parameters and academic performance. Satisfaction in the chosen field was a significant predictor of the overall change in EI. Future studies are  needed to identify and measure factors responsible for improvement in EI among medical undergraduates.

The Association between the Parents' Knowledge of Carbohydrate Counting and the Glycaemic Control of the Children with Type 1 Diabetes.

BACKGROUND: Medical nutritional therapy is an important component of type 1 diabetes (T1D) care in children and carbohydrate counting is one such method. We aimed to evaluate the knowledge of carbohydrate counting among parents of children with T1D from Sri Lanka and study its association with the child's glycaemic control. METHODS: A descriptive cross-sectional study was conducted among parents of children with T1D. HbA1c measurement was used to assess glycaemic control. Knowledge of parent regarding carbohydrate counting was assessed based on a 24-hour dietary recall. Carbohydrate counting knowledge was defined using ratio of carbohydrate content estimated by parents to actual carbohydrate content calculated by researchers (Total, Breakfast, Lunch, Dinner, and Snacks). Ratios obtained were also divided into three groups, underestimation (<0.9), accurate estimation (0.9-1.1), and overestimation (>1.1). A multivariate regression analysis was performed to determine contribution of carbohydrate counting accuracy to glycaemic control (HbA1c). RESULTS: Sample size was 181 and mean age of the parents was 38.8±5.9 years. Mean duration of diabetes in the children was 3.7±2.6 years and mean HbA1c level was 8.3±0.9%. On average, parents estimates of carbohydrate count for the total meal were 0.88±0.27 (88%) (range 0.38-1.47) of the actual carbohydrate count. Only 30.5% (n=55) of parents were grouped in the "accurate" estimation category for the total carbohydrate count. Parents of children with diabetes for ≤3 years estimated total carbohydrate count more accurately than the counterparts (p<0.05). Mean HbA1c value of those who "underestimated" was significantly higher than those with "accurate" estimation. In the multivariate analysis accuracy of carbohydrate estimation was associated with a lower HbA1c (ß = -0.36; p=0.03). CONCLUSIONS: Overall knowledge of carbohydrate counting among parents was inadequate. Better knowledge was associated with improved glycaemic control in children and lower incidence of hypoglycaemic episodes. An inverse association was observed between knowledge and duration of diabetes.