Impact of metabolic syndrome criteria on cardiovascular disease risk in people with newly diagnosed type 2 diabetes
Impact of metabolic syndrome criteria on cardiovascular disease risk in people with newly diagnosed type 2 diabetes
Aims/hypothesis: We investigated the prognostic implication of metabolic syndrome according to modified National Cholesterol Education Program criteria and the implication of individual features of metabolic syndrome on cardiovascular disease (CVD) and CHD in a 5-year community-based study of people with newly diagnosed type 2 diabetes.
Methods: We entered 562 participants, aged 30–74 years, into a cross-sectional analysis and 428 participants (comprising those who were CVD-free at study entry) into a prospective analysis. In both analyses, the association of metabolic syndrome features with CVD/CHD was studied. Binary logistic regression, a Cox regression model and Fisher's exact test were used for statistical analyses.
Results: At diagnosis of type 2 diabetes, metabolic syndrome was independently associated with CVD (odds ratio [OR] 2.54; p=0.006) and CHD (OR 4.06; p=0.002). In the 5-year follow-up, metabolic syndrome at baseline was an independent predictor of incident CVD (hazard ratio [HR] 2.05; p=0.019). An increase in the number of individual features of the metabolic syndrome present at the time of diagnosis of type 2 diabetes was associated with a linear increase in incident CVD risk (trend p=0.044) with an almost five-fold increase when all five features were present, compared with hyperglycaemia alone (HR 4.76; p=0.042). Increasing age (HR 1.07; p<0.001), female sex (HR 0.62; p=0.032), total cholesterol (HR 1.43; p=0.01) and lipid-lowering therapy (HR 0.32; p<0.001) were also independent predictors of risk.
Conclusions/interpretation: Metabolic syndrome at baseline is associated with an increased risk of incident CVD in the 5 years following diagnosis of type 2 diabetes. CVD-free survival rates declined incrementally as the presence of metabolic syndrome features increased. Thus, identifying the features of metabolic syndrome at diagnosis of type 2 diabetes is potentially a useful prognostic tool for identifying individuals at increased risk of CVD.
cardiovascular disease, cardiovascular risk, coronary heart disease, metabolic syndrome, type 2 diabetes
49-55
Guzder, R.N.
734c858d-5c8d-40f8-800b-bec95061cfec
Gatling, W.
20844dbd-6b21-42ea-8348-28b462584688
Mullee, M.A.
fd3f91c3-5e95-4f56-8d73-260824eeb362
Byrne, C.D.
1370b997-cead-4229-83a7-53301ed2a43c
January 2006
Guzder, R.N.
734c858d-5c8d-40f8-800b-bec95061cfec
Gatling, W.
20844dbd-6b21-42ea-8348-28b462584688
Mullee, M.A.
fd3f91c3-5e95-4f56-8d73-260824eeb362
Byrne, C.D.
1370b997-cead-4229-83a7-53301ed2a43c
Guzder, R.N., Gatling, W., Mullee, M.A. and Byrne, C.D.
(2006)
Impact of metabolic syndrome criteria on cardiovascular disease risk in people with newly diagnosed type 2 diabetes.
Diabetologia, 49 (1), .
(doi:10.1007/s00125-005-0063-9).
(PMID:16341841)
Abstract
Aims/hypothesis: We investigated the prognostic implication of metabolic syndrome according to modified National Cholesterol Education Program criteria and the implication of individual features of metabolic syndrome on cardiovascular disease (CVD) and CHD in a 5-year community-based study of people with newly diagnosed type 2 diabetes.
Methods: We entered 562 participants, aged 30–74 years, into a cross-sectional analysis and 428 participants (comprising those who were CVD-free at study entry) into a prospective analysis. In both analyses, the association of metabolic syndrome features with CVD/CHD was studied. Binary logistic regression, a Cox regression model and Fisher's exact test were used for statistical analyses.
Results: At diagnosis of type 2 diabetes, metabolic syndrome was independently associated with CVD (odds ratio [OR] 2.54; p=0.006) and CHD (OR 4.06; p=0.002). In the 5-year follow-up, metabolic syndrome at baseline was an independent predictor of incident CVD (hazard ratio [HR] 2.05; p=0.019). An increase in the number of individual features of the metabolic syndrome present at the time of diagnosis of type 2 diabetes was associated with a linear increase in incident CVD risk (trend p=0.044) with an almost five-fold increase when all five features were present, compared with hyperglycaemia alone (HR 4.76; p=0.042). Increasing age (HR 1.07; p<0.001), female sex (HR 0.62; p=0.032), total cholesterol (HR 1.43; p=0.01) and lipid-lowering therapy (HR 0.32; p<0.001) were also independent predictors of risk.
Conclusions/interpretation: Metabolic syndrome at baseline is associated with an increased risk of incident CVD in the 5 years following diagnosis of type 2 diabetes. CVD-free survival rates declined incrementally as the presence of metabolic syndrome features increased. Thus, identifying the features of metabolic syndrome at diagnosis of type 2 diabetes is potentially a useful prognostic tool for identifying individuals at increased risk of CVD.
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e-pub ahead of print date: 10 December 2005
Published date: January 2006
Keywords:
cardiovascular disease, cardiovascular risk, coronary heart disease, metabolic syndrome, type 2 diabetes
Identifiers
Local EPrints ID: 40646
URI: http://eprints.soton.ac.uk/id/eprint/40646
ISSN: 0012-186X
PURE UUID: cd7b6d89-f5a0-4402-ad9e-5ca6ca4dbf98
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Date deposited: 07 Jul 2006
Last modified: 16 Mar 2024 03:07
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Author:
R.N. Guzder
Author:
W. Gatling
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