This results in a smaller workforce and incurring greater healthcare expenditure, subsequently taxing the Singapore economy 3. In 2019 alone, nearly 1 in 3 deaths in Singapore was caused by CVD 1.
#MULTIPLE LOGISTIC REGRESSION IN STATPLUS TRIAL#
We report novel postprandial models for predicting subclinical atherosclerosis in apparently healthy Asian subjects using a gender-specific approach, complementing the conventional Framingham Risk Score.Ĭlinical Trial Registration: The trial was registered at as NCT03531879.Ĭardiovascular disease (CVD) is responsible for a significant proportion of morbidity and mortality in Singapore over the last three decades 1, 2. We used gender-specific association with different combinations of postprandial predictors to develop 2 models for predicting risk of subclinical atherosclerosis in males (ROC AUC = 0.7867, 95% CI 0.6567, 0.9166) and females (ROC AUC = 0.9161, 95% CI 0.8340, 0.9982) respectively. Distinctive gender differences in postprandial trajectories of glucose, lipids and inflammatory markers were observed. Prediction models were developed using logistic regression and subsequently subjected to cross-validation to obtain a de-optimized receiver operating characteristic (ROC) curve. Subjects underwent cardiovascular imaging and postprandial blood phenotyping after consuming a standardized macronutrient meal. A total of 101 healthy Chinese subjects (46 females, 55 males) at low risk of coronary heart disease completed the study. In this study we hypothesize that postprandial responses triggered by a high-calorie meal test differ by gender in their ability to triage asymptomatic subjects into those with and without subclinical atherosclerosis. Gender-specific markers to predict cardiovascular risk in overtly healthy people are lacking. The prediction utility of Framingham Risk Score in populations with low conventional cardiovascular risk burden is limited, particularly among women.
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