Cardiovascular risk prediction model for Omanis with type 2 diabetes

No Thumbnail Available
File version
Author(s)
Alrawahi, Abdul Hakeem
Lee, Patricia
Al-Anqoudi, Zaher AM
Alrabaani, Muna
Al-Busaidi, Ahmed
Almahrouqi, Faisal
Albusaidi, Ahmed M
Griffith University Author(s)
Primary Supervisor
Other Supervisors
Editor(s)
Date
2018
Size
File type(s)
Location
License
Abstract

Aim:

To date, no cardiovascular risk assessment tool has been developed specifically for any Arabian population including Omanis. This study aims to develop a suitable cardiovascular risk prediction model in the form of a statistical equation, for Omanis with type 2 diabetes.

Materials and methods:

A sample of 2039 patients with type 2 diabetes selected from primary care settings in the Aldakhiliyah Province of Oman were involved in a retrospective cohort study. All patients were free of cardiovascular disease at baseline (in 2009–2010) and were followed up until: 1) their first cardiovascular event occurred; 2) the patient died, or 3) the end of the data collection in December 2015.

Results:

Among the total sample, 192 cardiovascular disease events were recorded within a mean follow-up period of 5.3-year. The 5-year probability of a cardiovascular event was given as 1 − 0.9991Exp∑XiBi, where Exp ∑XiBi (hazard ratio) = Exp (0.038 age + 0.052 DM duration + 0.102 HbA1c + 0.201 total cholesterol + 0.912 albuminuria [1 if present] + 0.166 hypertension [1 if present] + 0.005 BMI).

Conclusion:

The first cardiovascular risk prediction tool in the Arab world was developed in this study. It may be used to estimate the 5-year cardiovascular risk among Omanis with type 2 diabetes in order to plan patient management and preventive measures. However, further validation studies are required to determine the accuracy of the model.

Journal Title

Diabetes & Metabolic Syndrome: Clinical Research & Review

Conference Title
Book Title
Edition
Volume
Issue
Thesis Type
Degree Program
School
Publisher link
Patent number
Funder(s)
Grant identifier(s)
Rights Statement
Rights Statement
Item Access Status
Note

This publication has been entered into Griffith Research Online as an Advanced Online Version.

Access the data
Related item(s)
Subject

Clinical sciences

Epidemiology not elsewhere classified

Persistent link to this record
Citation
Collections