10-year Risk Prediction Models of Complications and Mortality of DM in Hong Kong

Diabetes Mellitus (DM) is a well-recognized public health issue worldwide. DM can lead to many complications resulting in morbidity and mortality, approximately 70% of DM related deaths were attributed to cardiovascular diseases (CVD).

Objectives:

To develop 10-year risk prediction models for CVD, end stage renal disease (ESRD) and all-cause mortality among Chinese patients with DM in primary care.

Hypotheses:

1. Patient socio-demographic, clinical parameters, disease characteristics and treatment modalities are predictive of 10-year risk of CVD, ESRD and all-cause mortality.
2. Risk prediction models developed from this study should have over 70% of discriminating power.

Design and Subjects:

10-year retrospective cohort study. All Chinese patients who were clinically diagnosed to have DM and were receiving care in the public (Hospital Authority) primary care clinics on or before 1 July 2006 will be followed up until 31 December 2016.

Main outcomes measures:

For total CVD, CHD, stroke, heart failure, ESRD, all-cause mortality

1. 10-year incidence;
2. Predictive factors

Data analysis:

Two thirds of subjects will be randomly selected as the training sample for model development. Cox regressions will be used to develop sex-specific 10-year risk prediction models for each outcome. The validity of models will be tested on the remaining one third of subjects by Harrell C statistics and ROC

Expected results:

Risk prediction models will enable accurate risk stratification and cost-effective interventions for Chinese DM patients in primary care.