Development and Validation of DM and Pre-DM Risk Prediction Model
NCT04881383 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 1014
Last updated 2024-12-10
Summary
Many DM and pre-DM remain undiagnosed. The aim is to develop and validate a risk prediction function to detect DM and pre-DM in Chinese adults aged 18-84 in primary care (PC). The objectives are to:
1. Develop a risk prediction function using non-laboratory parameters to predict DM and pre-DM from the data of the HK Population Health Survey 2014/2015
2. Develop a risk scoring algorithm and determine the cut-off score
3. Validate the risk prediction function and determine its sensitivity in predicting DM and pre-DM in PC
Hypothesis to be tested:
The prediction function developed from the Population Health Survey (PHS) 2014/2015 is valid and sensitive in PC.
Design and subjects:
We will develop a risk prediction function for DM and pre-DM using data of 1,857 subjects from the PHS 2014/2015. We will recruit 1014 Chinese adults aged 18-84 from PC clinics to validate the risk prediction function. Each subject will complete an assessment on the relevant risk factors and have a blood test on OGTT and HbA1c on recruitment and at 12 months.
Main outcome measures:
The area under the Receiver operating characteristic (ROC) curve, sensitivity and specificity of the prediction function.
Data analysis and expected results:
Machine learning and Logistic regressions will be used to develop the best model. ROC curve will be used to determine the cut-off score. Sensitivity and specificity will be determined by descriptive statistics. A new HK Chinese general population specific risk prediction function will enable early case finding and intervention to prevent DM and DM complications in PC.
Conditions
- Diabetes Mellitus
- Pre Diabetes
Interventions
- DIAGNOSTIC_TEST
-
OGTT and HbA1c
An investigation form will be given to the patient to attend an approved private laboratory for blood pressure, weight, height, waist and hip circumferences, and a blood test on OGTT, HbA1c, complete blood count (CBC) and lipid profile within three months
Sponsors & Collaborators
-
The University of Hong Kong
lead OTHER
Principal Investigators
-
Cindy LK Lam, MD · Department of Family Medicine and Primary Care, University of Hong Kong
Eligibility
- Min Age
- 18 Years
- Max Age
- 84 Years
- Sex
- ALL
- Healthy Volunteers
- Yes
Timeline & Regulatory
- Start
- 2020-04-01
- Primary Completion
- 2023-06-30
- Completion
- 2023-09-30
Countries
- Hong Kong
Study Locations
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