TY - JOUR
T1 - Cardiovascular disease prediction model for Indonesian adult population with prediabetes and diabetes mellitus
T2 - The Bogor Cohort study of Noncommunicable Diseases Risk Factors
AU - Sibarani, Marcel H.R.
AU - Wijaya, Ika P.
AU - Rizka, Aulia
AU - Soewondo, Pradana
AU - Riyadina, Woro
AU - Rahajeng, Ekowati
AU - Sudikno,
AU - Harbuwono, Dante S.
AU - Tahapary, Dicky L.
N1 - Funding Information:
This study received funding from Magister Grant by The Minister of Research, Technology and Higher Education Republic of Indonesia with register number NKB-3063/UN2.RST/HKP.05.00/2020. The sponsor had no influence or involvement in the study process.
Funding Information:
The publication of this study is funded by Universitas Indonesia grant No. NKB-3063/UN2.RST/HKP.05.00/2020 . The authors would like to thank Nida Amalia, Melly Kristanti, and Anggit Triadiana for their technical helps in preparing this manuscript.
Publisher Copyright:
© 2021 Diabetes India
PY - 2022/1
Y1 - 2022/1
N2 - Background and aims: This study aims to develop a predictive model of cardiovascular events in dysglycemia among the Indonesian adult population. Methods: This is a retrospective cohort study conducted on subjects over 25 years in the “The Bogor Cohort Study of Noncommunicable Diseases Risk Factors” from 2011 to 2018. Data associated with age, gender, blood pressure, body mass index, waist circumference, blood glucose, cholesterol, smoking habits, family history of cardiovascular disease, and physical activity were obtained. Cardiovascular events in six years were observed; this included coronary heart disease, stroke, or all-cause cardiovascular mortality. Cox proportional hazards regression models were used to determine independent predictors of cardiovascular events. Results: A total of 1085 subjects with prediabetes and diabetes mellitus were included in this study, with 73.5% female. The cumulative incidence of cardiovascular events in six years was 9.7%. Predictors of cardiovascular events were age ≥45 years (HR = 2.737; 95% CI 1.565–4.787) and hypertension (HR = 2.580; 95% CI 1.619–4.112). Conclusions: Age ≥45 years and hypertension were predictors of cardiovascular events in six years among the adult Indonesian population with prediabetes and diabetes, necessitating targeted intervention among these subjects.
AB - Background and aims: This study aims to develop a predictive model of cardiovascular events in dysglycemia among the Indonesian adult population. Methods: This is a retrospective cohort study conducted on subjects over 25 years in the “The Bogor Cohort Study of Noncommunicable Diseases Risk Factors” from 2011 to 2018. Data associated with age, gender, blood pressure, body mass index, waist circumference, blood glucose, cholesterol, smoking habits, family history of cardiovascular disease, and physical activity were obtained. Cardiovascular events in six years were observed; this included coronary heart disease, stroke, or all-cause cardiovascular mortality. Cox proportional hazards regression models were used to determine independent predictors of cardiovascular events. Results: A total of 1085 subjects with prediabetes and diabetes mellitus were included in this study, with 73.5% female. The cumulative incidence of cardiovascular events in six years was 9.7%. Predictors of cardiovascular events were age ≥45 years (HR = 2.737; 95% CI 1.565–4.787) and hypertension (HR = 2.580; 95% CI 1.619–4.112). Conclusions: Age ≥45 years and hypertension were predictors of cardiovascular events in six years among the adult Indonesian population with prediabetes and diabetes, necessitating targeted intervention among these subjects.
KW - Cardiovascular event
KW - Diabetes mellitus
KW - Dysglycemia
KW - Prediabetes
KW - Predictor
UR - http://www.scopus.com/inward/record.url?scp=85119598331&partnerID=8YFLogxK
U2 - 10.1016/j.dsx.2021.102330
DO - 10.1016/j.dsx.2021.102330
M3 - Article
AN - SCOPUS:85119598331
SN - 1871-4021
VL - 16
JO - Diabetes and Metabolic Syndrome: Clinical Research and Reviews
JF - Diabetes and Metabolic Syndrome: Clinical Research and Reviews
IS - 1
M1 - 102330
ER -