METHODS: Asian countries were categorised into three groups; 'lower middle-income country', 'upper middle-income country' and 'high-income country'. The Medline/PubMed database was searched for articles published from January 2005 to December 2014 using relevant key words. Articles were excluded if they examined a specific injury mechanism, referred to a specific age group, and/or did not have full text available. We extracted information and variables on pre-hospital and hospital care factors, and regionalised system factors and compared them across countries.
RESULTS: A total of 46 articles were identified from 13 countries, including Pakistan, India, Vietnam and Indonesia from lower middle-income countries; the Islamic Republic of Iran, Thailand, China, Malaysia from upper middle-income countries; and Saudi Arabia, the Republic of Korea, Japan, Hong Kong and Singapore from high-income countries. Trauma patients were transported via various methods. In six of the 13 countries, less than 20% of trauma patients were transported by ambulance. Pre-hospital trauma teams primarily comprised emergency medical technicians and paramedics, except in Thailand and China, where they included mainly physicians. In Iran, Pakistan and Vietnam, the proportion of patients who died before reaching hospital exceeded 50%. In only three of the 13 countries was it reported that trauma surgeons were available. In only five of the 13 countries was there a nationwide trauma registry.
CONCLUSION: Trauma care systems were poorly developed and unorganised in most of the selected 13 Asian countries, with the exception of a few highly developed countries.
RESULTS: Here, we analyzed genetic data of 230 B. flabellifer accessions across Thailand using 17 EST-SSR and 12 gSSR polymorphic markers. Clustering analysis revealed that the population consisted of two genetic clusters (STRUCTURE K = 2). Cluster I is found mainly in southern Thailand, while Cluster II is found mainly in the northeastern. Those found in the central are of an extensive mix between the two. These two clusters are in moderate differentiation (F ST = 0.066 and N M = 3.532) and have low genetic diversity (HO = 0.371 and 0.416; AR = 2.99 and 3.19, for the cluster I and II respectively). The minimum numbers of founders for each genetic group varies from 3 to 4 individuals, based on simulation using different allele frequency assumptions. These numbers coincide with that B. flabellifer is dioecious, and a number of seeds had to be simultaneously introduced for obtaining both male and female founders.
CONCLUSIONS: From these data and geographical and historical evidence, we hypothesize that there were at least two different invasive events of B. flabellifer in Thailand. B. flabellifer was likely brought through the Straits of Malacca to be propagated in the southern Thailand as one of the invasive events before spreading to the central Thailand. The second event likely occurred in Khmer Empire, currently Cambodia, before spreading to the northeastern Thailand.
Methods: This cohort study was designed to screen the hearing of newborns using transiently evoked otoacoustic emission and auditory brain stem response, and to determine the risk factors associated with hearing loss of newborns in 3 tertiary hospitals in Northern Thailand. Data were prospectively collected from November 1, 2010 to May 31, 2012. To develop the risk score, clinical-risk indicators were measured by Poisson risk regression. The regression coefficients were transformed into item scores dividing each regression-coefficient with the smallest coefficient in the model, rounding the number to its nearest integer, and adding up to a total score.
Results: Five clinical risk factors (Craniofacial anomaly, Ototoxicity, Birth weight, family history [Relative] of congenital sensorineural hearing loss, and Apgar score) were included in our COBRA score. The screening tool detected, by area under the receiver operating characteristic curve, more than 80% of existing hearing loss. The positive-likelihood ratio of hearing loss in patients with scores of 4, 6, and 8 were 25.21 (95% confidence interval [CI], 14.69-43.26), 58.52 (95% CI, 36.26-94.44), and 51.56 (95% CI, 33.74-78.82), respectively. This result was similar to the standard tool (The Joint Committee on Infant Hearing) of 26.72 (95% CI, 20.59-34.66).
Conclusion: A simple screening tool of five predictors provides good prediction indices for newborn hearing loss, which may motivate parents to bring children for further appropriate testing and investigations.
Methods: The National Societies for Emergency Medicine of Hong Kong, India, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand and Turkey participated in the joint Japanese Association of Acute Medicine (JAAM) and Asian Conference of Emergency Medicine (ACEM) Special Symposium held in October 2013 at Tokyo, Japan. The findings are reviewed in this paper.
Results: Emergency medicine (EM) has over the years evolved into a distinct and recognized medical discipline requiring a unique set of cognitive, administrative and technical skills for managing all types of patients with acute illness or injury. EM has contributed to healthcare by providing effective, safe, efficient and cost-effective patient care. Integrated systems have developed to allow continuity of emergency care from the community into emergency departments. Structured training curriculum for undergraduates, and specialty training programs for postgraduates are in place to equip trainees with the knowledge and skills required for the unique practice of EM.
Conclusion: The practice of EM still varies among the Asian countries. However, as a region, we strive to continue in our efforts to develop the specialty and improve the delivery of EM.