Publications by authors named "Jennifer Nan"

Background: To determine the frequency of chronic kidney disease (CKD) and its associated risk factors in Chinese type 2 diabetic patients, we conducted a cross-sectional study in Nanjing, China, in the period between January 2008 and December 2009.

Methods: Patients with type 2 diabetes under the care by Jiangsu Province Official Hospital, Nanjing, China were invited for assessment. CKD was defined as the presence of albuminuria or estimated glomerular filtration rate <60 mL/min/1.

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Background/aims: The application of glycated hemoglobin (HbA(1c)) for the diagnosis of diabetes is currently under extensive discussion. In this study, we explored the validity of using HbA(1c) as a screening and diagnostic test in Chinese subjects recruited in Nanjing, China.

Methods: In total, 497 subjects (361 men and 136 women) with fasting plasma glucose (PG) ≥ 5.

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Objective: To establish a profile of the modifiable cardiovascular disease (CVD) risk factors in the office-working population of Nanjing, China.

Background: With increasing modernization in China, CVD is now common among Chinese. Relevant information on the prevalence of CVD risk factors in China is, however, limited.

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Aims: To examine the distribution of plasma glucose and related cardiovascular risk factors in two occupation-based cross-sectional surveys in a Chinese ethnic population.

Methods: Two cross-sectional surveys in a Hong Kong working population. In 1990, 1496 participants aged 18-66 years underwent an OGTT, anthropometric, and other biochemical measures.

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Background: The Joint Asia Diabetes Evaluation (JADE) Program is a web-based program incorporating a comprehensive risk engine, care protocols, and clinical decision support to improve ambulatory diabetes care.

Methods: The JADE Program uses information technology to facilitate healthcare professionals to create a diabetes registry and to deliver an evidence-based care and education protocol tailored to patients' risk profiles. With written informed consent from participating patients and care providers, all data are anonymized and stored in a databank to establish an Asian Diabetes Database for research and publication purpose.

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