Relation of platelet indices to severity of coronary artery disease in patients undergoing primary percutaneous coronary intervention

A prediction model based on platelet parameters, lipid levels, and angiographic characteristics to predict in-stent restenosis in coronary artery disease patients implanted with drug-eluting stents

BACKGROUND

The present study was aimed to establish a prediction model for in-stent restenosis (ISR) in subjects who had undergone percutaneous coronary intervention (PCI) with drug-eluting stents (DESs).

MATERIALS AND METHODS

A retrospective cohort study was conducted. From September 2010 to September 2013, we included 968 subjects who had received coronary follow-up angiography after primary PCI. The logistic regression analysis, receiver operator characteristic (ROC) analysis, nomogram analysis, Hosmer-Lemeshow χ2 statistic, and calibration curve were applied to build and evaluate the prediction model.

RESULTS

Fifty-six patients (5.79%) occurred ISR. The platelet distribution width (PDW), total cholesterol (TC), systolic blood pressure (SBP), low-density lipoprotein cholesterol (LDL-C), and lesion vessels had significant differences between ISR and non-ISR groups (all P < 0.05). And these variables were independently associated with ISR (all P < 0.05). Furthermore, they were identified as predictors (all AUC > 0.5 and P < 0.05) to establish a prediction model. The prediction model showed a good value of area under curve (AUC) (95%CI): 0.72 (0.64-0.80), and its optimized cut-off was 6.39 with 71% sensitivity and 65% specificity to predict ISR.

CONCLUSION

The incidence of ISR is 5.79% in CAD patients with DES implantation in the Xinjiang population, China. The prediction model based on PDW, SBP, TC, LDL-C, and lesion vessels was an effective model to predict ISR in CAD patients with DESs implantation.

Characterization of inflammatory profile by breath analysis in chronic coronary syndromes

AIMS

Exhaled breath contains thousands of volatile organic compounds (VOCs) produced during various metabolic processes both in health and disease.Analysis of breath with electronic nose BIONOTE-V allows modifications of exhaled VOCs to be studied, which are clinically recognized to be a marker for several disorders, including heart failure. New noninvasive tests based on VOCs analysis might be a useful tool for early detection of chronic coronary syndromes (CCS).

METHODS

Exhaled air was collected and measured in individuals with an indication to perform invasive coronary angiography (ICA). All patients' samples were obtained before ICA.

RESULTS

Analysis with BIONOTE-V was performed in a total cohort of 42 patients consecutively enrolled, of whom 19 did not require myocardial revascularization and 23 with indication for myocardial revascularization. BIONOTE-V was able to correctly identify 18 out of 23 patients affected by severe coronary artery disease (sensitivity = 78.3% and specificity = 68.4%). Our predicted model had a tight correlation with SYNTAX score (error of the BIONOTE-V = 15).

CONCLUSION

CCS patients have a distinctive fingerprint of exhaled breath, and analysis by BIONOTE-V has the potential for identifying these patients. Moreover, it seems that this technique can correctly identify patients according to anatomical disease severity at ICA. If the preliminary data of this proof of concept study will be confirmed, this rapid and noninvasive diagnostic tool able to identify CCS might have an impact in routine clinical practice.

Association between platelet distribution width and prognosis in patients with heart failure

Background

The prognostic impact of platelet distribution width (PDW), which is a specific marker of platelet activation, has been unclear in patients with heart failure (HF).

Methods and results

We conducted a prospective observational study enrolling 1,746 hospitalized patients with HF. Patients were divided into tertiles based on levels of PDW: 1^st (PDW < 15.9 fL, n = 586), 2^nd (PDW 15.9–16.8 fL, n = 617), and 3^rd (PDW ≥ 16.9, n = 543) tertiles. We compared baseline patients’ characteristics and post-discharge prognosis: all-cause death; cardiac death; and cardiac events. The 3^rd tertile showed the highest age and levels of B-type natriuretic peptide compared to other tertiles (1^st, 2^nd, and 3^rd tertiles; age, 69.0, 68.0, and 70.0 years old, P = 0.038; B-type natriuretic peptide, 235.2, 171.9, and 241.0 pg/mL, P < 0.001). Left ventricular ejection fraction was equivalent among the tertiles. In the Kaplan-Meier analysis, rates of all endpoints were the highest in the 3^rd tertile (log-rank P < 0.001, respectively). The Cox proportional hazard analysis revealed that the 3^rd tertile was associated with adverse prognosis (all-cause death, hazard ratio [HR] 1.716, P < 0.001; cardiac death, HR 1.919, P < 0.001; cardiac event, HR 1.401, P = 0.002).

Conclusions

High PDW is a novel predictor of adverse prognosis in patients with HF.

The Mean Platelet Volume in the Prognosis of Coronary Artery Disease Severity and Risk Stratification of Acute Coronary Syndromes

Introduction:

Platelets play a crucial role in thrombotic episodes. Mean Platelet Volume (MPV) is the primary indicator of platelet’s activation; its measurement is easy and time-effective.

Aim:

We tested the hypothesis that MPV is correlated with SYNTAX score in patients that suffered from an Acute Coronary Syndrome (ACS).

Material and Methods:

One hundred and four (104) patients (79 male–25 female, mean age 64.2±11.1 years), who were hospitalized for an ACS and underwent coronary angiography, were included in the study. Syntax score, as an indicator of the severity of coronary artery disease (CAD), was calculated. We tried to investigate the correlation between the first measured MPV, CRP, Creatinine and high sensitivity Troponin with the Syntax score of the patient and the association of MPV and a possible Major Advanced Cardiac Event (MACE) during hospitalization.

Results:

The patients were divided into four groups according to the SYNTAX score: Group A (SYNTAX score: 0, n=12), group B: Mild CAD (SYNTAX score: 1–22, n=68), group C: Moderate CAD (SYNTAX score: 23–32, n=12), and group D: Severe CAD (SYNTAX score: ≥ 33, n=12). Four patients (3.8%) developed a MACE during their hospitalization. MPV was significantly correlated to Syntax score (r=0.658, p<0.001) and was found to be an independent predictor factor of MACE with HR=6.8 (95% Confidence Interval 1.46-33.36). The cut-off value of MPV was 7.5 with a sensitivity of 98% and a specificity of 30.8%.

Conclusion:

We determined a positive correlation between MPV and Syntax score, transforming this simple test in a possible factor of risk stratification in ACS.

Blood Cell Parameters and Predicting Coronary In-Stent Restenosis

Major advances in coronary interventional techniques and pharmacotherapy as well as the use of drug-eluting stents (DESs) have considerably reduced the risk of in-stent restenosis (ISR). However, ISR remains a major clinical challenge. Inflammation and platelet activation are important processes that underlie the pathophysiology of ISR. Parameters related to blood cells, entailing both cell count and morphology, are useful markers of the inflammatory response and platelet activation in clinical practice. Recent studies have highlighted several new combined or derived parameters related to blood cells that independently predict ISR after DES implantation. The neutrophil/lymphocyte ratio, an inflammatory marker, is regarded as a predictor of the risk of ISR and the stability of atherosclerotic plaques. The mean platelet volume, a widely used platelet activation parameter, has been shown to be a predictor of the risk of ISR and the efficacy of antiplatelet therapy. Other markers considered include the platelet/lymphocyte ratio, red blood cell distribution width, and platelet distribution width. This review provides an overview of these parameters that may help stratify the risk of coronary angiographic and clinical outcomes related to ISR.

Platelet Distribution Width on Admission Predicts In-Stent Restenosis in Patients with Coronary Artery Disease and Type 2 Diabetes Mellitus Treated with Percutaneous Coronary Intervention

Background:

It is known that there is a definite association between platelet distribution width (PDW) and poor prognosis in patients with coronary artery disease (CAD) and type 2 diabetes mellitus (T2DM). However, there are no data available regarding the prognostic significance of PDW for in-stent restenosis (ISR) in patients with CAD and T2DM. We aimed to determine the value of PDW on admission that predicted ISR in patients with CAD and T2DM.

Methods:

Between January 2012 and December 2013, a total of 5232 consecutive patients diagnosed with CAD and T2DM undergoing percutaneous coronary intervention were admitted. Three years of retrospective follow-up was undertaken. A total of 438 patients with second angiography operations were included. ISR was defined as ≥50% luminal stenosis of the stent or peri-stent segments. Continuous data were presented as the mean ± standard deviation or median (P₂₅, P₇₅) and were compared by one-way analysis of variance or Kruskal-Wallis H-test. Categorical variables were presented as percentages and were compared by Chi-square test or Fisher's exact test. The association between PDW and ISR was calculated by logistic regression analysis. A two-sided value of P < 0.05 was considered statistically significant. Statistical analyses were performed by SPSS version 22.0 for windows.

Results:

Fifty-nine patients with ISR, accounting for 13.5% of the total, were included. ISR was significantly more frequent in patients with higher PDW quartiles compared with lower quartiles. We observed that PDW had a strong relationship with mean platelet volume (r = 0.647, 95% confidence interval [CI]: 0.535–0.750, P < 0.0001). The receiver-operating characteristic curves showed that the PDW cutoff value for predicting ISR rate was 13.65 fl with sensitivity of 59.3% and specificity of 72.4% (area under curve [AUC] = 0.701, 95% CI: 0.625–0.777, P < 0.001). Multivariate analysis showed that the risk of ISR increased approximately 30% when PDW increased one unit (odds ratio [OR]: 1.289, 95% CI: 1.110–1.498, P = 0.001). Patients with higher PDW, defined as more than 13.65 fl, had a 4-fold higher risk of ISR compared with lower PDW (OR: 4.241, 95% CI: 1.879–9.572, P = 0.001). Furthermore, when patients were divided by PDW quartiles values, PDW was able to predict ISR (Q2: OR = 0.762, 95% CI: 0.189–3.062, P = 0.762; Q3: OR = 2.782, 95% CI: 0.865–8.954, P = 0.086; and Q4: OR = 3.849, 95% CI: 1.225–12.097, P = 0.021, respectively; P for trend <0.0001).

Conclusion:

PDW is an independent predictor of ISR in patients with CAD and T2DM.

Elevation of plateletcrit increasing the risk of non-alcoholic fatty liver disease development in female adults: A large population-based study

BACKGROUND

Non-alcoholic fatty liver disease (NAFLD) is the one of the most common form of chronic liver disease in China, so it is important to apply bio-marker in predict the development of NAFLD.

AIMS

This study aims to evaluate association between plateletcrit (PCT) and non-alcoholic fatty liver disease (NAFLD) in Chinese female adults.

METHODS

NAFLD was defined as per ultrasound in this study and 9737 NAFLD-free female subjects from Wenzhou People's Hospital were followed for five years in average in the study. The determination of NAFLD PCT quartiles (Q1 to Q4) were defined: 0-0.16, 0.17-0.18, 0.19-0.21, ≥0.22. With Q1 used as reference, 95% confidence intervals (CIs) and hazard ratios (HRs) in different models were computed across each quartile.

RESULTS

From Q1 to Q4, the incidence ratios (95% CIs) were 8.30 (7.14-9.47), 11.51 (10.12-12.89), 12.68 (11.47-13.89) and 16.46 (15.03-17.88). Simply considering PCT, in the longitudinal population, values in Q2, Q3 and Q4 had HRs (95% CIs) are 1.51 (1.25-1.84), 1.72 (1.44-2.06) and 2.34 (1.96-2.79) versus Q1. After adjusting for all known confounding variables, values in Q2, Q3 and Q4 had HRs (95% CIs) of 1.31 (1.08-1.60), 1.30 (1.09-1.56) and 1.54 (1.29-1.84) in females compared with Q1.

CONCLUSIONS

We reported that elevated serum PCT levels are considered as an independently significant predictor for NAFLD development in females. The high PCT level contributes to the development of NAFLD.