High-sensitivity C-reactive protein is not independently associated with peripheral subclinical atherosclerosis.

OBJECTIVE: This study investigated whether high-sensitivity C-reactive protein (hs-CRP) levels are independently associated with subclinical peripheral atherosclerosis. METHODS: Clinical variables, cardiovascular (CV) risk factors, 10-year CV risk, the ankle-brachial Index (ABI), and the carotid intima-media thickness (cIMT) were determined in a sample of consecutive subjects free from previous CV disease, admitted for a first visit at a lipid clinic. RESULTS: In the overall sample (320 subjects, mean age 63 years, 35.8% men), hs-CRP levels were associated with major CV risk factors, 10-year CV risk, lower ABI, and higher cIMT values. In a logistic model, after adjustment for significant covariates, the associations of hs-CRP levels with ABI and cIMT were no longer statistically significant. CONCLUSIONS: Among asymptomatic, moderate- to-high CV risk subjects, hs-CRP levels were associated with severity of peripheral atherosclerosis, but these associations were not independent of traditional CV risk factors, suggesting a limited predictive role of hs-CRP for subclinical atherosclerosis.

Metabolic syndrome in older subjects: coincidence or clustering?

The prevalence of the metabolic syndrome (MS) increases with advancing age. However, aging per se is associated with increased prevalence of most of the abnormalities contributing to the MS. Whether MS in older people consistently identifies a true pathophysiological entity or a casual aggregation of aging-associated metabolic abnormalities, remains to be fully elucidated. In the present study, we aimed to evaluate whether in older subjects the aggregation of metabolic components of the MS, as defined by the National Cholesterol Education Program Adult Treatment Panel III (NCEP-ATP III), is consistent with a single latent variable. Age, waist circumference, systolic and diastolic blood pressure, metabolic variables were determined in 152 older (>70 years), non-diabetic, healthy men. Cronbach alpha was used to assess the internal consistency of the components contributing to the MS. Structural equation modeling, using the Normed Fit Index (NFI), the Root Mean Square Error of Approximation (RMSEA), the Comparative Fit Index (CFI), and the Tucker-Lewis Index (TLI) was used to assess the fit to a model with a single latent variable. The Cronbach alpha test showed low internal consistency among the metabolic variables (alpha=0.31). The calculated chi(2) values were 28.31 and 32.52 for model entering hypertension as dichotomous variable and for model entering blood pressure values, respectively, both expressing low fit to a model with a single latent variable. In both models, CFI (0.41 and 0.55), NFI (0.59 and 0.55), RMSEA (0.25 and 0.22) and TLI (-0.31 and -0.12) scores showed a low fit of the metabolic alterations to a single latent variable. These findings suggest caution in making diagnosis of MS at older ages, since metabolic and cardiovascular abnormalities being per se extremely common in elderly people, do not appear to cluster together under a single common factor.

Implications of routinely measuring Ankle-Brachial Index (ABI) among patients attending at a Lipid Clinic.

BACKGROUND: Low (< or = 90) Ankle Brachial Index (ABI) values identify patients at high risk for cardiovascular (CV) disease and mortality. Implications for CV risk classification from routinely measuring ABI in the context of a Lipid Clinic have not been fully investigated. We aimed to evaluate whether and to what extent routine ABI determination on top of conventional risk prediction models may modify CV risk classification. METHODS: Consecutive asymptomatic non-diabetic individuals free from previous CV events attending for a first visit at a Lipid Clinic underwent routine ABI determination and conventional CV risk classification according either to national CUORE model (including age, gender, smoking, total and high density lipoprotein cholesterol, systolic blood pressure and current use of blood pressure lowering drugs) and SCORE model for low risk countries. RESULTS: In the overall sample (320 subjects, mean age 64.8 years) 77 subjects (24.1%) were found to have low ABI value. Forty-two of 250 subjects (16.8%) and 47 of 215 individuals (21.3%) at low or moderate risk according to the CUORE and SCORE models, respectively, were found to have low ABI values, and should be reclassified at high risk. CONCLUSION: In a series of consecutive asymptomatic individuals in a Lipid Clinic, we observed a high prevalence of low ABI values among subjects deemed at low or moderate risk on conventional prediction models, leading to CV high-risk reclassification of roughly one fifth of patients. These findings reinforce recommendations for routine determination of ABI at least within referral primary prevention settings.

Clinical implications of white-coat effect among patients attending at a lipid clinic.

We evaluated clinical implications of the white-coat effect (WCE) in cardiovascular (CV) risk stratification in the primary prevention setting of a Lipid Clinic. We compared home self blood pressure measurement (SBPM) with office blood pressure (BP) readings and BP measured by a nurse before and after the visit on consecutive subjects, free of previous CV diseases, attending at a Lipid Clinic for a first visit. Additionally, we evaluated whether and to what extent the difference between these measurements affect the 10-year cardiovascular risk calculated according to current guidelines. Mean home self-measured systolic and diastolic BP values were significantly lower than physician's and nurse's readings (p=0.000). A WCE was observed in 60.3% of patients during the physician's visit, and in 33.9% and 36.6% of nurse's measurements before and after visit, respectively. Compared with computation of SBPM, inclusion in risk predictive model of systolic BP values obtained by physician and nurse (before or after visit) resulted in significantly higher calculated CV risk (p=0.000) and in a higher risk-class allocation in 16.5%, 8.5% and 9.4% of patients, respectively (p=0.000). Our findings show that among patients attending at a Lipid Clinic there is a high prevalence of WCE, which is roughly halved when nurse's BP measurements were considered. Nurse's BP measurements before or after the doctor's visit may reduce, but not eliminate at all, the clinic overestimation of BP. The WCE associated with physician's office visit carries a substantial probability of 10-year CV risk overestimation in the primary prevention setting.