Interaction of Body Mass Index and Framingham Risk Score in Predicting Incident Coronary Disease in Families

The aim – to assess correlations between insomnia, excessive daytime sleepiness (EDS) and levels of lipids, anthropometric parameters and cardiovascular risks in patients with hypertension and metabolic syndrom. Materials and methods. 118 patients with hypertension over 45 years of age were enrolled to this study. The Framingham Risk Score was used to evaluate cardiovascular risks and cardiovascular age. Body mass index, muscular strength, and physical activity (the number of steps per day) were assessed. Total cholesterol, triacylglycerols (TAGs), high-density lipoprotein (HDL) cholesterol, low-density lipoprotein (LDL) cholesterol, glucose and glycated hemoglobin levels were determined. Insomnia was diagnosed in accordance with the International Classification of Sleep Disorders – Third Edition (ICSD-3). EDS was assessed by the Epworth Sleepiness Scale. To detect obstructive sleep apnea, a portable monitoring. Results and discussion. Insomnia was diagnosed in 48 (40.7 %) out of the 118 patients examined. No correlation between insomnia and either metabolic indices or arterial pressure was found. However, levels of systolic arterial pressure, HDL cholesterol, waist circumference, and body mass index were shown to differ depending on the severity of EDS. Analysis of cardiovascular age using the Framingham Risk Score revealed that patients with severe ESD were characterized by a greater cardiovascular age. In group 1 according to the Epworth Sleepiness Scale, it reached 48.0 [45.5–56.7] years, while in groups 2 and 3 this parameter was 57.0 [48.7–63.0] and 72.0 [68.0–80.0] years, respectively (ANOVA test, F=63,4; p=0.001). Conclusions. Thus, evaluation of the impact of sleep disorders on metabolic parameters and arterial hypertension allowed us to reveal that not insomnia itself but EDS as its manifestation is of huge importance. Our findings when using the Epworth Sleepiness Scale suggest that patients with moderate and severe EDS have higher levels of systolic arterial pressure, body mass index, waist circumference, lower HDL cholesterol, and greater cardiovascular age according to the Framingham Risk Score. The presence of insomnia was associated only with low level of high density cholesterol.

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PM286 Using Lipid-based And Body Mass Index-based Framingham Risk Score to Compare the General Cardiovascular Disease Risk for a Malaysia Rural Population

Global Heart ◽

10.1016/j.gheart.2014.03.1648 ◽

2014 ◽

Vol 9 (1) ◽

pp. e119

Author(s):

Nazar Mohd Zabadi Mohd Azahar ◽

Ambigga Devi S. Krishnapillai ◽

Ng K. Keat ◽

Khalid Yusoff

Keyword(s):

Cardiovascular Disease ◽

Body Mass Index ◽

Body Mass ◽

Risk Score ◽

Rural Population ◽

Framingham Risk Score ◽

Disease Risk ◽

Cardiovascular Disease Risk ◽

Framingham Risk

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Relations of Body Mass Index and Coronary Risk as Estimated by the Framingham Risk Score

Perceptual and Motor Skills ◽

10.2466/pms.102.1.254-258 ◽

2006 ◽

Vol 102 (1) ◽

pp. 254-258 ◽

Cited By ~ 2

Author(s):

Tomoyuki Kawada ◽

Toshiaki Otsuka

Keyword(s):

Body Mass Index ◽

Body Mass ◽

Risk Score ◽

Framingham Risk Score ◽

Coronary Risk ◽

Framingham Risk

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Effect of dietary modification by calorie restriction on cholesterol levels in lipoprotein(a) and other lipoprotein classes

Annals of Clinical Biochemistry International Journal of Laboratory Medicine ◽

10.1177/0004563216672247 ◽

2016 ◽

Vol 54 (5) ◽

pp. 567-576 ◽

Cited By ~ 4

Author(s):

Yuji Hirowatari ◽

Daisuke Manita ◽

Keiko Kamachi ◽

Akira Tanaka

Keyword(s):

Body Mass Index ◽

Coronary Heart Disease ◽

Heart Disease ◽

Risk Score ◽

Calorie Restriction ◽

Framingham Risk Score ◽

Dietary Modification ◽

Lipoprotein A ◽

Cholesterol Levels ◽

Framingham Risk

Background Dietary habits are associated with obesity which is a risk factor for coronary heart disease. The objective is to estimate the change of lipoprotein(a) and other lipoprotein classes by calorie restriction with obesity index and Framingham risk score. Methods Sixty females (56 ± 9 years) were recruited. Their caloric intakes were reduced during the six-month period, and the calorie from fat was not more than 30%. Lipoprotein profiles were estimated at baseline and after the six-month period of calorie restriction. Cholesterol levels in six lipoprotein classes (HDL, LDL, IDL, VLDL, chylomicron and lipoprotein(a)) were analysed by anion-exchange liquid chromatography. The other tests were analysed by general methods. Additionally, Framingham risk score for predicting 10-year coronary heart disease risk was calculated. Results Body mass index, waist circumference, insulin resistance, Framingham risk score, total cholesterol, LDL-cholesterol and IDL-cholesterol were significantly decreased by the calorie restriction, and the protein and cholesterol levels of lipoprotein(a) were significantly increased. The change of body mass index was significantly correlated with those of TC, VLDL-cholesterol and chylomicron-cholesterol, and that of waist circumference was significantly correlated with that of chylomicron-cholesterol. The change of Framingham risk score was significantly correlated with the change of IDL-C. Conclusion Obesity indexes and Framingham risk score were reduced by the dietary modification. Lipoprotein profile was improved with the reduction of obesity indexes, but lipoprotein(a) was increased. The changes of obesity indexes and Framingham risk score were related with those of triglyceride-rich lipoproteins, e.g. IDL, VLDL and CM.

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Abstract: P1244 HIGHLY SENSITIVE C-REACTIVE PROTEIN AND THE FRAMINGHAM RISK SCORE ARE ASSOCIATED WITH CORONARY DISEASE SEVERITY IN PATIENTS WITH METABOLIC SYNDROME

Atherosclerosis Supplements ◽

10.1016/s1567-5688(09)71261-9 ◽

2009 ◽

Vol 10 (2) ◽

pp. e1299

Author(s):

C Monteiro ◽

M Izar ◽

S Brandao ◽

S Fischer ◽

S Barros ◽

...

Keyword(s):

Metabolic Syndrome ◽

Disease Severity ◽

Coronary Disease ◽

Risk Score ◽

Framingham Risk Score ◽

C Reactive Protein ◽

Reactive Protein ◽

Framingham Risk ◽

Highly Sensitive

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Usefulness of Exercise Testing in the Prediction of Coronary Disease Risk Among Asymptomatic Persons as a Function of the Framingham Risk Score

Circulation ◽

10.1161/01.cir.0000143226.40607.71 ◽

2004 ◽

Vol 110 (14) ◽

pp. 1920-1925 ◽

Cited By ~ 118

Author(s):

Gary J. Balady ◽

Martin G. Larson ◽

Ramachandran S. Vasan ◽

Eric P. Leip ◽

Christopher J. O’Donnell ◽

...

Keyword(s):

Coronary Disease ◽

Risk Score ◽

Exercise Testing ◽

Framingham Risk Score ◽

Disease Risk ◽

Framingham Risk

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Abstract P020: 1 H Nmr Metabonomic Profiling Identifies Novel Biomarkers for Cardiovascular Mortality

Circulation ◽

10.1161/circ.125.suppl_10.ap020 ◽

2012 ◽

Vol 125 (suppl_10) ◽

Author(s):

Abtehale Al-Hussaini ◽

Tsung Tan ◽

Joban Sehmi ◽

Paul Elliott ◽

Mika Ala-Korpela ◽

...

Keyword(s):

Blood Pressure ◽

Body Mass Index ◽

Body Mass ◽

Framingham Risk Score ◽

Hdl Cholesterol ◽

Cvd Risk Factors ◽

Cvd Risk ◽

H Nmr ◽

Framingham Risk ◽

Novel Biomarkers

Background Cardiovascular disease (CVD) is the leading cause of death world-wide. Existing tools for identification of CVD risk have modest predictive power and discrimination. New biomarkers for CVD prediction are urgently needed. Hypothesis We have used 1 H NMR metabonomic profiling of serum to identify novel biomarkers for incident CVD. Methods We investigated 9,179 men and women participating in the London Life Sciences Population study. Participants were recruited between 2002-2008 from the lists of 58 GPs in London UK, and assessed for baseline CVD risk factors, including smoking, body mass index, waist circumference, blood pressure, fasting glucose and lipid profile. Participants were followed for CVD mortality to July 2011 (mean 5.5 years per person). 1 H NMR metabonomic profiling was done on baseline serum sample by 12T Bruker spectrometer, with quantification of 44 fatty acid and low molecular weight markers. Results There were 161 CVD deaths. Compared to survivors, people with CVD death were older, had higher prevalence of type-2 diabetes and cigarette smoking, higher blood pressure, body mass index, glucose, and lower total and HDL cholesterol (Table). Framingham risk scores were higher in cases with CVD death than survivors (18.7±0.9% vs. 11.4±0.7%, P=10 -31 ). We found six NMR metabolites associated with incident CVD at P<0.05; odds ratios (95%CI) for CVD per 1SD increase in biomarker ranged from 1.19 (1.07-1.33, P=0.007) to 1.65 (1.44-1.89, P=3x10 -13 ). The associations of NMR metabolites with CVD were not materially changed by adjustment for age, gender and Framingham risk score. The AUC for prediction of incident CVD was 0.74 using Framingham risk score alone, and 0.77 with incorporation of metabonomic measures. Conclusions We identified six novel biomarkers for incident CVD; these are independent of known CVD risk factors and may improve CVD risk prediction. Our findings demonstrate the potential utility of metabonomic profiling for biomarker discovery and risk stratification. CVD deaths Survivors P Total no of people 161 9018 Age (years) 61.6 (0.5) 53.4 (0.4) 0.001 Male gender (%) 98.2 85.8 <0.001 Smoking (%) 73 49 <0.001 Diabetes (%) 49 20 <0.001 Systolic blood Pressure (mmHg) 144.7 (22.7) 134.0 (19.2) <0.001 Body mass index (kg/m 2 ) 28.4 (5.6) 27.3 (4.3) 0.002 Total cholesterol (mmol/L) 4.8 (1.2) 5.2 (1.1) <0.001 HDL cholesterol (mmol/L) 1.20 1.25 0.064 Glucose (mmol/L) 7.1 5.9 <0.001 Results provided as mean or %.

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