2020
DOI: 10.4103/ijpvm.ijpvm_12_19
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Thai CV risk score and primary prevention in impaired fasting plasma glucose or diabetes mellitus versus normoglycemia in patients with metabolic syndrome

Abstract: Background: Impaired fasting plasma glucose (IFG) as well as diabetes mellitus (DM) may influence the presence of another metabolic syndrome (MetS) components resulting in the different risk of cardiovascular (CV) morbidity and mortality. This study aimed to determine the impact of IFG as well as DM on the 10-year CV risk using Thai CV risk score and primary prevention in complying with CV risk score in these patients. Methods: This cross-sectional study was conducted a… Show more

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Cited by 3 publications
(2 citation statements)
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“…The Thai CV risk score included sex, age, systolic blood pressure (SBP), the diagnosis of DM, current smoking status and total cholesterol (TC) level, while diastolic blood pressure (DBP), fasting plasma glucose (FPG), Low-density lipoprotein cholesterol (LDL-C), High-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) levels were not included in the score ( 28 ). This score was validated in the Thai population and used as the predictor of the percentage that would develop coronary artery disease, as well as fatal and non-fatal cerebrovascular disease in the next 10 years ( 27 , 29 ). Thus, a higher score meant a higher risk of CVD.…”
Section: Methodsmentioning
confidence: 99%
“…The Thai CV risk score included sex, age, systolic blood pressure (SBP), the diagnosis of DM, current smoking status and total cholesterol (TC) level, while diastolic blood pressure (DBP), fasting plasma glucose (FPG), Low-density lipoprotein cholesterol (LDL-C), High-density lipoprotein cholesterol (HDL-C), and triglycerides (TG) levels were not included in the score ( 28 ). This score was validated in the Thai population and used as the predictor of the percentage that would develop coronary artery disease, as well as fatal and non-fatal cerebrovascular disease in the next 10 years ( 27 , 29 ). Thus, a higher score meant a higher risk of CVD.…”
Section: Methodsmentioning
confidence: 99%
“…However, it has been observed that the Framingham risk models may overestimate the risk of CVD in the Thai population due to differences in risk profiles and genetic factors. [ 3 ] Therefore, the Thai CV risk score, which is a locally developed tool that considers the unique characteristics of the Thai population, provides a more accurate assessment of CVD risk by utilizing data from a large general practice database and accounting for factors such as diabetes, which is common in Asian populations. [ 4 ]…”
Section: Introductionmentioning
confidence: 99%