Pentraxin 3 Is Highly Specific for Predicting Anatomical Complexity of Coronary Artery Stenosis as Determined by the Synergy between Percutaneous Coronary Intervention with Taxus and Cardiac Surgery Score

BACKGROUND AND OBJECTIVES: The aim of this study was to examine the hypothesis that pentraxin 3 (PTX3) can have a diagnostic value for predicting anatomical complexity of coronary artery stenosis as measured by the Synergy between PCI with Taxus and Cardiac Surgery (SYNTAX) score. SUBJECTS AND METHODS: We investigated the association of systemic arterial PTX3 with SYNTAX score among 500 patients with ischemic heart disease assigned to medical treatment (251), percutaneous coronary intervention (PCI) (197), or coronary artery bypass graft (CABG) (52). RESULTS: The clinical judgment of the cardiologists was near-perfectly concordant with the SYNTAX score. Mean {99% confidence intervals (CIs)} SYNTAX scores were 5.8 (5.1-6.6), 18.4 (17.1-19.8), and 33.2 (32.8-33.6) in patients assigned to medical therapy, PCI, and CABG, respectively. The AROC (95% CIs) for discriminating between patients with and without a high SYNTAX score (>23) was 0.920 (0.895-0.946) for systemic arterial levels of PTX3. As the systemic arterial level of PTX3 increased, the SYNTAX scores also increased almost in a curvilinear fashion, with the value corresponding to the SYNTAX score of 23 being 0.29 ng . dL-1. This cutpoint achieved a sensitivity of 0.66 (0.57-0.74), a specificity of 0.94 (0.91-0.96), a positive predictive value of 0.79 (0.70-0.87), and a negative predictive value of 0.89 (0.85-0.92). CONCLUSION: We observed that systemic arterial levels of PTX3 were associated with the SYNTAX score in a curvilinear fashion. The discriminatory power of systemic arterial levels of PTX3 for a high SYNTAX score was excellent. The interesting finding of this study was the near perfect concordance between the decisions made by the cardiologists based on their clinical judgment and the SYNTAX score. The systemic arterial PTX3 level of 0.29 ng . dL-1 was highly specific for diagnosing complex coronary artery stenosis.

Bedside-Friendly Prediction for Presence of Post-Myocardial lnfarction Systolic Dysfunction Using Multimarker Panel: Integrating Salivary Diagnostics into Clinical Practice

BACKGROUND AND OBJECTIVES: We investigated if a combination of plasma or salivary interleukin-2 (IL-2), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-alpha), transforming growth factor-beta (TGF-beta), and troponin can improve estimation of the pretest probability of the left ventricular systolic dysfunction (LVSD). SUBJECTS AND METHODS: Eighty patients with newly-diagnosed myocardial infarction (MI) were echocardiographically examined for LVSD (ejection fraction < or =40%). Measurements included traditional MI risk factors, plasma and salivary concentrations of troponin, IL-2, IL-6, TNF-alpha, and TGF-beta. With the LVSD as the outcome variable, we developed logistic regression models, starting with a basic model incorporating traditional risk factors and consecutively adding salivary and plasma biomarkers. Models were compared using several criteria, including (but not limited to) C statistic (discrimination) and net reclassification improvement index (NRI). RESULTS: Apart from troponin, plasma, and salivary values of the biomarkers were correlated: spearman's rho was 0.19 (p=0.088) for troponin, 0.36 (p=0.001) for IL-2, 0.74 (p<0.001) for IL-6, 0.61 (p<0.001) for TNF-alpha, and 0.65 (p<0.001) for TGF-beta. The predictive performances of the basic model for estimating the pretest probability of the presence of LVSD considerably improved when cytokines were added (salivary added: C-statistic from 0.77 to 0.82 and NRI 77%; plasma added: C-statistic to 0.80 and NRI 134%). CONCLUSION: Multiple biomarkers added diagnostic value to the standard risk factors for predicting the presence of post-MI LVSD.

Prognostic significance of the complex "Visceral Adiposity Index" vs. simple anthropometric measures: Tehran lipid and glucose study.

BACKGROUND: Visceral adiposity index (VAI) has recently been suggested to be used as a surrogate of visceral adiposity. We examined if VAI could improve predictive performances for CVD of the Framingham's general CVD algorithm (a multivariate model incorporating established CVD risk factors). We compared the predictive abilities of the VAI with those of simple anthropometric measures i.e. BMI, waist-to-height ratio (WHtR) or waist-to-hip ratio (WHpR). DESIGN AND METHODS: In a nine-year population-based follow-up, 6,407 (2,778 men) participants, free of CVD at baseline, aged≥30 years were eligible for the current analysis. The risk of CVD was estimated by incorporating VAI, BMI, WHpR, and WHtR, one at a time, into multivariate accelerated failure time models. RESULTS: We documented 534 CVD events with the annual incidence rate (95%CIs) being 7.3 (6.4-8.3) among women and 13.0 (11.7-14.6) among men. Risk of future CVD increased with increasing levels of VAI among both men and women. VAI was associated with multivariate-adjusted increased risk of incident CVD among women. However, the magnitude of risk conferred by VAI was not significantly higher than those conferred by BMI, WHpR, or WHtR. Among men, after adjustment for established CVD risk factors, VAI was no longer associated with increased risk of CVD. VAI failed to add to the predictive ability of the Framingham general CVD algorithm. CONCLUSIONS: Using VAI instead of simple anthropometric measures may lead to loss of much information needed for predicting incident CVD.