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Hsiu Hsi Chen

Publications and source records attributed to Hsiu Hsi Chen.

2 recordsLinked to original sources
PubMed2006

Initial serum glucose level as a prognostic factor in the first acute myocardial infarction.

STUDY OBJECTIVE: We assess the prognostic role of initial glucose levels in patients with a first acute myocardial infarction in the emergency department (ED). METHODS: We conducted a 3-year retrospective cohort study. Patients with a first acute myocardial infarction were recruited from the ED of a tertiary hospital from January 1, 2001, to December 31, 2003. Initial glucose levels in the ED were stratified into 3 levels (normal < 140 mg/dL; intermediate 140 to 200 mg/dL; and high > or = 200 mg/dL). Logistic and Cox regression models were applied to estimate the 1-month short-term and 1-year long-term adverse prognoses, respectively. RESULTS: A total of 198 eligible subjects (159 men and 39 women; mean age 63.1+/-14.2 years) were recruited. The estimated survival curves among the 3 initial glucose levels were significantly different (P=.0002). After adjustment for sex, age, diabetic status, reperfusion therapy, and infarct subtype, the adjusted odds ratio for short-term prognosis progressed with higher levels when compared with the normal level (intermediate level: odds ratio 3.87; 95% confidence interval [CI] 1.71 to 8.78; high level: odds ratio 5.16; 95% CI 1.97 to 13.51). High initial glucose level was an important risk factor for long-term adverse prognosis (hazard ratio 3.08; 95% CI 1.59 to 5.98). CONCLUSION: A high initial glucose level in the ED is an important and independent predictor of short- and long-term adverse prognoses in patients with first acute myocardial infarction.

Blood Glucose↗
PubMed2003

Health information system for community-based multiple screening.

Disease screening is one of important activities in the domain of public health. However, traditional disease screening is based on solitary disease rather than multiple diseases. Although information accrued from multiple screening make contribution to health risk assessment as well as efficient management, data sources underpinning multiple screening are diversified and complicated including registration, primary data from questionnaire or biological measurement, referral system, confirmatory diagnosis, and case management. As our multiple screening integrates five types of cancers and four types of chronic disease at each out-reach and ambulatory setting, packages for attendants vary according to age, gender and risk factor (such as betel chewing, alcohol drink, smoking, family history, self-disease history, etc.). We took the initiative in design of health information system to support the complex processes of multiple screening. To enhance the efficiency of multiple screening and efficient disease management, health information system was therefore designed to support such a complicated infrastructure.

Adult↗