Metabolic syndrome and the risk of sudden cardiac death in middle-aged men☆
Introduction
Sudden cardiac death (SCD) accounts for one-half of all coronary heart disease (CHD)-related deaths. Since a majority of SCDs occur among the general segments of the population, the problem would require screening methods applicable to the general population. There continues to be interest in identifying clinically useful markers for SCD among the general population. Epidemiological studies have shown that half of the victims of SCD have no physician-diagnosed CHD at the time of death [1], [2].
Metabolic syndrome (MetS) is a common clinical condition with a prevalence varying from 10 to 40%, or even higher in older age groups, depending on the populations and definition of MetS [3], [4], [5], [6], [7], [8], [9], [10], [11], [12]. A previous study found increased SCD risk for the metabolic syndrome based on the definitions of National Cholesterol Education Program III (NCEP-ATPIII) and International Diabetes Federation (IDF) with respect to SCD [3]. However, this previous study did not evaluate the risk of MetS for SCD based on World Health Organization (WHO) definition. Current definitions may also be criticized for the use of arbitrary dichotomous cut-offs for the features of the metabolic syndrome, even though risk factors such as blood pressure and high-density lipoprotein (HDL) cholesterol have continuous and dose-related associations with cardiovascular outcomes. Some researchers have therefore estimated metabolic risk as a continuous variable using the sum of the Z-scores of the individual metabolic risk factors [13], [14].
The objective of the present investigation was to evaluate SCD risk for the MetS as defined by the WHO, NCEP, IDF and IDF/American Heart Association (AHA) interim criteria and a metabolic risk score in a population-based cohort of middle-aged men who did not have coronary heart disease or diabetes at baseline.
Section snippets
Subjects
This study group was subgroup of a random sample of 3433 men aged 42 to 60 years who resided in the town of Kuopio or its surrounding rural communities in eastern Finland. Of those invited, 2682 (83%) participated in the study. This Kuopio Ischemic Heart Disease Study (KIHD) was designed to investigate risk predictors for atherosclerotic cardiovascular outcomes in a population-based sample of men [7]. For the present study men with diabetes (n = 174) or CHD (n = 677) at baseline were excluded. Men
Baseline characteristics and follow-up events
At the beginning of the follow-up, 15% out of 1381 men who did not suffer a SCD during the follow-up had the metabolic syndrome according to WHO definition, 8% had it according to the NCEP and IDF definitions, and 19% according to the IDF/AHA interim definition (Table 1). In men who died suddenly during the follow up (n = 85), the prevalence of the metabolic syndrome based on these definitions was about two-fold higher (p < 0.001–0.027). The metabolic risk score was also higher in men who died
Discussion
In this prospective population-based cohort of middle-aged men without coronary heart disease or diabetes at baseline the MetS based on WHO, IDF and NCEP definitions was associated with a more than two-fold higher risk of SCD during the 21-year follow up, independently of major risk factors not included in the definition of the metabolic syndrome. The clustering of metabolic risk factors as estimated by a continuous metabolic risk score also predicted SCD during the follow-up. Even when
Conflict of interest
The authors report no relationships that could be construed as a conflict of interest. Relationship with industry and financial disclosure statement: none.
References (33)
- et al.
Out-of-hospital cardiac arrest in the 1990s: a population-based study in the Maastricht area on incidence, characteristics and survival
J. Am. Coll. Cardiol.
(1997) - et al.
Physical activity and clustered cardiovascular risk in children: a cross-sectional study (the European Youth Heart Study)
Lancet
(2006) - et al.
A new International Diabetes Federation (IDF) worldwide definition of the metabolic syndrome: the rationale and the results
Rev. Esp. Cardiol.
(2005) Pre-diabetes, metabolic syndrome, and cardiovascular risk
J. Am. Coll. Cardiol.
(2012)- et al.
Association of hyperglycemia with reduced heart rate variability (the Framingham Heart Study)
Am. J. Cardiol.
(2000) - et al.
Sudden cardiac death
Circulation
(1998) - et al.
Contribution of the metabolic syndrome to sudden death risk in asymptomatic men: the Paris prospective study I
Eur. Heart J.
(2007) - et al.
European Group For The Study Of Insulin Resistance (EGIR). Frequency of the WHO metabolic syndrome in European cohorts, and an alternative definition of an insulin resistance syndrome
Diabete Metab.
(2002) - et al.
Metabolic syndrome and 10-year cardiovascular disease risk in the Hoorn Study
Circulation
(2005) - et al.
Prevalence of the metabolic syndrome among US adults: findings from the Third National Health and Nutrition Examination Survey
JAMA
(2002)
The metabolic syndrome and total and cardiovascular disease mortality in middle-aged men
JAMA
DECODE study group. Prevalence of the metabolic syndrome and its relation to all-cause and cardiovascular mortality in nondiabetic European men and women
Arch. Intern. Med.
Impact of the metabolic syndrome on mortality from coronary heart disease, cardiovascular disease, and all causes in United States adults
Circulation
Strong Heart Study. Strong Heart Study. Insulin resistance, the metabolic syndrome, and risk of incident cardiovascular disease in nondiabetic American Indians: the Strong Heart Study
Diabetes Care
The metabolic syndrome and 11-year risk of incident cardiovascular disease in the atherosclerosis risk in communities study
Diabetes Care
San Antonio Heart Study National Cholesterol Education Program versus World Health Organization metabolic syndrome in relation to all-cause and cardiovascular mortality in the San Antonio Heart Study
Circulation
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All the authors take responsibility for all aspects of the reliability and freedom from bias of the data presented and their discussed interpretation.