Cardiovascular risk factors and endothelial dysfunction

Anthony S. Wierzbicki*, Philip J. Chowienczyk, John R. Cockcroft, Sally E. Brett, Gerald F. Watts, B. Stephen Jenkins, James M. Ritter

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

33 Citations (Scopus)

Abstract

Endothelial dysfunction is a feature of atherosclerosis and is associated with CHD (coronary heart disease) risk factors. This study aimed to determine the relationship between the degree of endothelial dysfunction and calculated cardiovascular risk. Endothelial function, as determined by the ACh/NP (acetycholine/sodium nitroprusside response) ratio on brachial plethysmography, was compared with cardiovascular risk as calculated from the Framingham, PROCAM (Prospective Cardiovascular Munster) and MRFIT (Multiple Risk Factor Intervention Trial) algorithms in 246 (187 male) patients, including 44 (22%) with established CHD. Endothelial dysfunction correlated with the total number of risk factors (r2 = 0.22; P = 0.002) and was related to LDL (low-density lipoprotein)-cholesterol in men and triacylglycerols (triglycerides) in women. The ACh/NP ratio correlated with the occurrence of diabetes, CHD and the LDL-cholesterol concentration (r2 = 0.58; P < 0.001). Endothelial dysfunction was associated with presence of CHD on receiver-operating characteristic plot analysis (area = 0.706 ± 0.04; P = 0.001). There was no correlation between ACh/NP ratio and CHD risk calculated with the Framingham algorithm in men, although both ACh and NP response correlated separately with risk in women. The endothelial ACh/NP ratio correlated with absolute risk in the PROCAM algorithm (r2 = 0.41; P < 0.005). Intermediate results were obtained with MRFIT. Individual risk factors make different contributions to endothelial dysfunction compared with their role in risk calculators. The stronger relationship of endothelial dysfunction with PROCAM risk reflects the contribution of male sex, LDL-cholesterol and triacylglycerols to risk calculated by this algorithm.

Original languageEnglish
Pages (from-to)609-615
Number of pages7
JournalClinical Science
Volume107
Issue number6
DOIs
Publication statusPublished - Dec 2004
Externally publishedYes

Keywords

  • Brachial plethysmography
  • Cardiovascular disease
  • Endothelial dysfunction
  • Epidemiological algorithm
  • Risk factor

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