INTRODUCTIONSingapore is a transition country in Southeast Asia that is both vulnerable and receptive to the introduction and re-introduction of imported communicable diseases.

MATERIALS AND METHODSFor a 10-year period between 1998 and 2007 we studied the trend, epidemiological characteristics, proportion of imported versus local transmission of malaria, viral hepatitis (hepatitis A and E), enteric fevers (typhoid and paratyphoid), cholera, chikungunya and SARS.

RESULTSOf a total of 4617 cases of the above selected diseases notified in Singapore, 3599 (78.0%) were imported. The majority of the imported cases originated from Southeast Asia and the Indian subcontinent. Malaria constituted the largest bulk (of which 95.9% of the 2126 reported cases were imported), followed by hepatitis A (57.1% of 1053 cases imported), typhoid (87.6% of 596 cases imported), paratyphoid (87.6% of 241 cases imported), and hepatitis E (68.8% of 231 cases imported). Furthermore, there were 14 cases of imported cholera, 6 cases of imported severe acute respiratory syndrome (SARS) and 13 cases of imported chikungunya.

CONCLUSIONThis study underlines that diseases such as malaria, viral hepatitis and enteric fever occur in Singapore mainly because of importation. The main origin of importation was South and Southeast Asia. The proportion of imported diseases in relation to overall passenger traffic has decreased over the past 10 years.

Communicable Diseases ; epidemiology ; etiology ; transmission ; Disease Outbreaks ; statistics & numerical data ; Female ; Humans ; Male ; Population Surveillance ; Singapore ; epidemiology ; Travel ; Young Adult

INTRODUCTIONThe Framingham Risk Score (FRS) is a well-validated epidemiologic tool used to assess the risk for a fi rst cardiac event. Because young patients presenting with a fi rst myocardial infarction (MI) tend to have less significant risk profiles compared with older patients, we hypothesized that FRS may underestimate cardiac risk in these patients.

MATERIALS AND METHODSWe studied 1267 patients between January 2002 and November 2007 presenting with a fi rst MI. Patients with pre-existing diabetes mellitus and vascular disease were excluded. FRS was calculated for each patient. Patients were divided based on their age: group A (<40 years), group B (40 to 64 years) and group C (> or =65 years).

RESULTSThe mean age was 54.7 +/- 11 years, 88.4% of the patients were males. Younger patients were more likely to be assigned with lower scores. Based on FRS, 63.0%, 29.3% and 14.2% of group A, B and C patients were classified as low risk (10-year risk for cardiac events<10%) respectively, P <0.001. The sensitivity of FRS in identifying at least intermediate risk subjects (10-year risk for cardiac events >10%) was 37.0% in group A vs 85.8% in group C (P <0.001). The incidence of newly diagnosed diabetes mellitus was higher in younger patients (12.0% vs 13.2% vs 7.1 % in groups A, B and C respectively, P = 0.027).

CONCLUSIONSFRS inadequately predicts cardiac risk in young patients presenting with a fi rst MI. This could be because a significant proportion of these young patients have undiagnosed diabetes mellitus, a coronary artery disease risk equivalent.

Adult ; Age Factors ; Aged ; Algorithms ; Diabetes Complications ; Female ; Humans ; Male ; Middle Aged ; Myocardial Infarction ; complications ; diagnosis ; Retrospective Studies ; Risk Assessment ; Risk Factors ; Sex Factors