Key result
Stiffness index derived from digital volume pulse analysis effectively discriminated between low/medium and high CVD risk categories (AUC 0.76; 95% CI 0.64-0.88; P<0.001).
Why the study?
Does stiffness index derived from digital volume pulse analysis improve cardiovascular disease risk stratification in community-dwelling individuals?
Cross-Sectional (n=247)
No
Does stiffness index derived from digital volume pulse analysis improve cardiovascular disease risk stratification in community-dwelling individuals?
Effect estimate: AUC 0.76 (95% CI 0.64-0.88)
p-value: p=<0.001
Noninvasive measurement of arterial stiffness via digital volume pulse analysis effectively discriminates cardiovascular risk categories and may aid in risk stratification.
May aid community CVD risk stratification; prospective studies needed to confirm incremental value.
BACKGROUND: Indices of arterial stiffness are accepted as independent markers of cardiovascular disease (CVD), having both positive prognostic and diagnostic implications. The utility of stiffness index (SI) derived from digital volume pulse (DVP) analysis in CVD risk screening is not established. METHODS: Using a representative sample of individuals from local communities (West Midlands, UK), we determined the performance of SI in the discrimination of increasing CVD risk. Arterial stiffness was measured by DVP photoplethysmography (PCA 2; Micro Medical) using a direct, standardized approach. CVD risk assessment was performed in accordance with the Joint British Society guidelines (JBS2). RESULTS: Of our cohort of 247 individuals (51% male; mean age 55.2 (s.d. 10.3) years), 187 were apparently healthy and 60 had established CVD risk factors (diabetes mellitus: 33%, hypertension: 77.8%, hypercholesteremia: 61%). On univariate analysis, SI was strongly associated with CVD risk (the European Society of Cardiology (ESC) based HeartScore) (Pearson correlation coefficient (R): 0.56, P < or = 0.001) and increased in an ordinal fashion from "low risk" to "medium risk" to "high risk" to "very high risk" (pseudo R2 = 0.30; P < 0.001). In receiver operator characteristic curve analysis, SI was the best discriminator between low to medium risk and high-risk categories (area under curve (AUC): 0.76 (95% CI 0.64-0.88), P < 0.001) when compared to total cholesterol, plasma glucose, systolic blood pressure, and waist-to-hip ratio and had the utility to discriminate the individuals with known CVD risk factors such as diabetes and hypertension. CONCLUSION: Noninvasive measurements of arterial stiffness may aid the optimal stratification of CVD risk in an apparently healthy population.
No takes yet. Share an insight, caveat, or question.
Gunarathne et al. (2008) conducted a cross-sectional in Cardiovascular disease risk (n=247). Stiffness index (SI) by digital volume pulse (DVP) analysis vs. Total cholesterol, plasma glucose, systolic blood pressure, and waist-to-hip ratio was evaluated on Discrimination between low to medium risk and high-risk CVD categories (AUC 0.76, 95% CI 0.64-0.88, p=<0.001). Stiffness index derived from digital volume pulse analysis effectively discriminated between low/medium and high CVD risk categories (AUC 0.76; 95% CI 0.64-0.88; P<0.001).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: