METHODS: This is a prospective case-control study. We registered 80 patients and 60 healthy controls from Jan 2009 to Dec 2013. Complete blood counts, prothrombin time, activated partial thromboplastin time, protein C, protein S, antithrombin, serum ferritin, liver enzymes; HbsAg and Anti- HCV were evaluated.
RESULT: There were 42 males and 38 females with mean age of 12.30±5.50 years. The mean protein C, protein S and antithrombin in patients and control were 58.25±22.5 versus 110.67±22.60, 67.90±19.58 versus 98.70±21.54 and 89.73±18.09 versus 104.0±10.98 (p<0.001) respectively. Protein C was predominantly deficient in 65% followed by protein S and antithrombin in 35% and 20% respectively. Protein C deficiency divulged positive correlation with protein S deficiency (p = 0.035) and antithrombin deficiency with hemoglobin of ≤8gm% (p<0.0025). No significant correlation of prothrombotic markers was established with maternal characteristics, hepatic dysfunction, hepatitis and serum ferritin.
CONCLUSION: Substantial decrement in prothrombotic markers, primarily protein C, may be implicated in elevated thrombosis; however follow-up data is required to establish definitive thromboembolic events.
MATERIALS AND METHODS: Two hundred retinal samples of right eye [57.0% females (n = 114) and 43.0% males (n = 86)] were selected from baseline visit. A custom-written software was used for vessel segmentation. Vessel segmentation is the process of transforming two-dimensional color images into binary images (i.e. black and white pixels). The circular area of approximately 2.6 optic disc radii surrounding the center of optic disc was cropped. The non-vessels fragments were removed. FracLac was used to measure the fractal dimension and vessel density of retinal vessels.
RESULTS: This study suggested that 14.1% of the region of interest (i.e. approximately 2.6 optic disk radii) comprised retinal vessel structure. Using correlation analysis, vessel density measurement and fractal dimension estimation are linearly and strongly correlated (R = 0.942, R(2) = 0.89, p
METHODS: We derived the data from the TECMA study, which used a cross-sectional study design and multi-stage sampling method to obtain a representative sample of school-going adolescents aged 11-19 years in Malaysia in 2016. Data were collected through a self-administered approach using a pre-validated standard questionnaire. Descriptive and multivariate analyses were used to analyze the data, and results are presented as adjusted odds ratio (AOR) with 95% confidence interval (95% CI).
RESULTS: SHS exposure for the past seven days was higher outside the home (51.2%; 95% CI: 49.2-53.2) compared to at home (37.8%; 95% CI: 35.8-39.9) while 27.3% (95% CI: 25.1-29.5) of school-going adolescents reported exposure to SHS inside the school in the past one month. In the regression analyses, older adolescents, those of Malay and Bumiputra Sarawak ethnicities, adolescents from rural areas and current smokers had higher likelihood of exposure to SHS at home, outside home and inside the school. Our study also found that adolescents who were current smokers had higher odds of being exposed to SHS at home (AOR=2.87; 95% CI: 2.57-3.21), outside the home (AOR=3.46; 95% CI: 3.05-3.92) and in the school (AOR=2.25; 95% CI: 2.01-2.51).
CONCLUSIONS: Health promotion measures should target parents/guardians and household members to reduce SHS exposure among adolescents. In addition, smoke-free regulation should be fully enforced in school. Furthermore, more public places should be designated non-smoking areas to reduce SHS exposure and denormalize smoking behavior.