Methods: A cross-sectional study was conducted from May to June 2017 in the private medical college in Malaysia.
Materials and Methods: We purposively selected the final year (semester 10) medical students and a total of 124 students participated in this study. We collected data using a self-administered, structured questionnaire. Data were analyzed using descriptive statistics, independent t-test, and one-way analysis of variance.
Results: Among the final year medical students, 47.5% had moderate knowledge but 4.2% had good knowledge of mandatory infectious disease notification. Only 3.2% of the students correctly answered all the notifiable diseases listed in the questionnaire. Most of the students had positive attitude toward communicable diseases reporting, rewards, and penalty for notification. There was no significant relationship between sociodemographic characteristics and knowledge and attitude of infectious disease notification.
Conclusions: The majority of the final year medical students had moderate level of knowledge and positive attitude of infectious disease notification; however, there were some deficiencies. Better instruction and training on infectious disease notification procedures of Malaysia should be provided to the final year medical students which could not only reduce underreporting but also improve timely and effective reporting in future.
MATERIALS AND METHODS: The secondary data analysis was conducted using the National Eye Database from 2007 to 2014. Demographic features, ocular comorbidities, technique of surgery, grade of surgeons, types of intraoperative complications, and reasons for not obtaining good visual acuity following intraoperative complications were studied. Statistics was done using Statistical Package for Social Sciences version 20.
RESULTS: Out of 12,992 eyes, 6.1% had intraoperative complications. The highest rate of complications was when more trainees (medical officers [MOs] and gazetting specialists) operated. Posterior capsule rupture (PCR) was the most common complication followed by vitreous loss and zonular dehiscence. Those aged below 40 years had more complications (P < 0.05), and females had more complications. Ethnicity did not affect complications. Pseudoexfoliation was the only comorbidity causing complications (P < 0.05). Phacolytic lenses had 8.118 times the odds of getting intraoperative complications. MOs and gazetting specialists got more complications. Good outcomes were obtained in cases without complications and those operated by specialists. High astigmatism was the main reason for poorer outcomes.
CONCLUSION: Intraoperative complications were caused mostly by less experienced doctors and had poorer outcomes. Age below 40 years, females, the presence of pseudoexfoliation and phacolytic lenses had more complications. PCR was the most common complication.
METHOD: Targeted sequencing of fourteen genes panel was performed to identify the mutations in 29 OI patients with type I, III, IV and V disease. The mutations were determined using Ion Torrent Suite software version 5 and variant annotation was conducted using ANNOVAR. The identified mutations were confirmed using Sanger sequencing and in silico analysis was performed to evaluate the effects of the candidate mutations at protein level.
RESULTS: Majority of patients had mutations in collagen genes, 48% (n = 14) in COL1A1 and 14% (n = 4) in COL1A2. Type I OI was caused by quantitative mutations in COL1A1 whereas most of type III and IV were due to qualitative mutations in both of the collagen genes. Those with quantitative mutations had milder clinical severity compared to qualitative mutations in terms of dentinogenesis imperfecta (DI), bone deformity and the ability to walk with aid. Furthermore, a few patients (28%, n = 8) had mutations in IFITM5, BMP1, P3H1 and SERPINF1.
CONCLUSION: Majority of our OI patients have mutations in collagen genes, similar to other OI populations worldwide. Genotype-phenotype analysis revealed that qualitative mutations had more severe clinical characteristics compared to quantitative mutations. It is crucial to identify the causative mutations and the clinical severity of OI patients may be predicted based on the types of mutations.