Prognostic value of rising mean platelet volume during hospitalization in patients with ST-segment elevation myocardial infarction treated with primary percutaneous coronary intervention

Prognostic value of a decrease in mean platelet volume, platelet distribution width, and platelet-large cell ratio for major adverse cardiovascular events after myocardial infarction without ST-segment elevation: An observational study

The current study aimed to explore whether the level of decrease in platelet distribution width (PDW), platelet-large cell ratio (P-LCR), and mean platelet volume (MPV) has prognostic value for major adverse cardiovascular events (MACEs) in acute myocardial infarction without ST-segment elevation (NSTEMI) treated with clopidogrel. In this prospective observational cohort study, PDW, P-LCR, and MPV were determined on admission at the hospital and 24 h after clopidogrel treatment in 170 non-STEMI patients. MACEs were assessed over a one-year follow-up period. Using the Cox regression test, a decrease in PDW showed a significant association with the incidence of MACEs (odds ratio [OR] 0.82, 95% confidence interval [CI] 0.66-0.99, p = 0.049) and overall survival rate (OR 0.95, 95% CI = 0.91-0.99, p = 0.016). Patients with a decrease in PDW<9.9% had a higher incidence of MACEs (OR 0.42, 95% CI = 0.24-0.72, p = 0.002) and a lower survival rate (OR 0.32, 95% CI = 0.12-0.90, p = 0.03) than patients who had a decrease in PDW < 9.9%. In the Kaplan-Meier analysis using log-rank test, patients who had a decrease in PDW < 9.9% had an increased risk for MACEs (p = 0.002) and lethal outcomes (p = 0.002). However, a decrease in MPV or P-LCR did not have prognostic value. A decrease in PDW < 9.9% measured 24 h after clopidogrel treatment in NSTEMI patients has good prognostic value for determining the short-term risks of MACEs, possibly providing a better risk stratification of those patients.

From Classic to Modern Prognostic Biomarkers in Patients with Acute Myocardial Infarction

Despite all the important advances in its diagnosis and treatment, acute myocardial infarction (AMI) is still one of the most prominent causes of morbidity and mortality worldwide. Early identification of patients at high risk of poor outcomes through the measurement of various biomarker concentrations might contribute to more accurate risk stratification and help to guide more individualized therapeutic strategies, thus improving prognoses. The aim of this article is to provide an overview of the role and applications of cardiac biomarkers in risk stratification and prognostic assessment for patients with myocardial infarction. Although there is no ideal biomarker that can provide prognostic information for risk assessment in patients with AMI, the results obtained in recent years are promising. Several novel biomarkers related to the pathophysiological processes found in patients with myocardial infarction, such as inflammation, neurohormonal activation, myocardial stress, myocardial necrosis, cardiac remodeling and vasoactive processes, have been identified; they may bring additional value for AMI prognosis when included in multi-biomarker strategies. Furthermore, the use of artificial intelligence algorithms for risk stratification and prognostic assessment in these patients may have an extremely important role in improving outcomes.

Evaluation of VEGF-A in platelet and microRNA-126 in serum after coronary artery bypass grafting

Platelet functions are thought to contribute to clinical outcomes after heart surgery. This study was conducted to assess the pivotal roles of vascular endothelial growth factor-A (VEGF-A) and microRNA-126 (miR-126) during coronary artery bypass grafting (CABG). Whole blood was collected for platelet isolation from 67 patients who underwent CABG surgery between July 2013 and March 2014. VEGF-A and miR-126 levels in serum, plasma, and platelets were measured at various time points and compared with clinical characteristics. The platelet count was decreased at 3 days after CABG. This dynamic change in platelet count was larger after conventional coronary artery bypass (CCAB) than off-pump coronary artery bypass (OPCAB). VEGF-A in the same number of platelets (IP-VEGF-A) was increased at 3 days after CABG, followed by an increase of VEGF-A in serum (S-VEGF-A) at 7 days after surgery. The miR-126-3p level in serum (S-miR-126-3p) increased rapidly after CABG and then decreased below preoperative levels. The IP-VEGF-A level on day 7 after CABG in patients with peripheral artery disease (PAD), who suffered from endothelial dysfunction, was higher compared with patients without PAD. Conversely, S-miR-126-3p on day 7 after surgery was lower in patients with PAD than in patients without PAD. Low levels of S-miR-126-3p due to endothelial dysfunction may lead to high IP-VEGF-A, which is closely related to complications after CABG.

Dynamic Change in Mean Platelet Volume and Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage

Background: The mean platelet volume (MPV) has been shown to predict short-term outcomes in patients who have experienced aneurysmal subarachnoid hemorrhage (aSAH). The purpose of this study was to explore the temporal variation of MPV in patients with aSAH and its relationship to the development of delayed cerebral ischemia (DCI).

Methods: Data from 197 consecutive aSAH patients who were treated at our institution between January 2017 and December 2019 were collected and analyzed. Blood samples to assess MPV were obtained at 1–3, 3–5, 5–7, and 7–9 d after the initial hemorrhage. Univariate and multivariate analyses were performed to investigate whether MPV was an independent predictor of DCI and the receiver operating characteristic (ROC) curve and area under the curve (AUC) were determined.

Results: The MPV values in patients with DCI were significantly higher compared to those without DCI at 1–3, 3–5, 5–7, and 7–9 d after hemorrhage (P < 0.001). The trend for MPV in patients with DCI was increased at first and then decreased. The transition from increases to decreases occurred at 3–5 d after hemorrhage. The optimal cutoff value for MPV to accurately predict DCI was 10.35 fL at 3–5 d after aSAH in our cohort. Furthermore, the MPV observed at 3–5 d was an independent risk factor for DCI [odds ratio (OR) = 4.508, 95% confidence interval (CI): 2.665–7.626, P < 0.001].

Conclusions: MPV is a dynamic variable that occurs during aSAH, and a high MPV at 3–5 days after hemorrhage is associated with the development of DCI.

Predictive Value of Mean Platelet Volume for Aneurysm Recurrence in Patients with Aneurysmal Subarachnoid Hemorrhage After Endovascular Treatment

BACKGROUND

The purpose of this study was to explore the relationship between mean platelet volume (MPV) and aneurysm recurrence in aneurysmal subarachnoid hemorrhage (aSAH) patients who received endovascular treatment for intracranial aneurysms.

METHODS

Data were collected and analyzed from 204 aneurysms in 187 aSAH patients who received endovascular treatment at our institution between January 2014 and January 2019. All aneurysms were divided into 2 groups based on aneurysm recurrence. Univariate and multivariable analyses were performed to investigate whether MPV was an independent predictor of aneurysm recurrence. The receiver operating characteristic (ROC) curve and area under the curve (AUC) were determined.

RESULTS

A total of 42 (20.6%) aneurysms recurred. Recurrent aneurysms had a lower rate of complete obliteration (P = 0.002) and lower MPV values on admission (P < 0.001) than nonrecurrent aneurysms. The multivariable analysis showed that the Raymond-Roy classification (odds ratio [OR]: 3.217, 95% confidence interval [CI]: 1.308-7.913, P = 0.011) and MPV (OR: 0.247, 95% CI: 0.151-0.402, P < 0.001) was significantly associated with aneurysm recurrence. The ROC curve analysis determined that MPV could predict aneurysm recurrence with an AUC of 0.846 (95% CI: 0.788-0.892, P < 0.001). An MPV ≤9.9 fL could predict aneurysm recurrence with a sensitivity of 80.95% and a specificity of 79.63%.

CONCLUSIONS

A low perioperative MPV may be associated with aneurysm recurrence in aSAH patients who receive endovascular treatment for intracranial aneurysms. Therefore, MPV can be used in clinical settings to screen for patients at high risk for aneurysm recurrence.

Mean platelet volume in arterial and venous thrombotic disorders

The mean platelet volume (MPV) is an easy, rapid and inexpensive laboratory parameter which basically mirrors platelet size. Due to the essential role of platelets in hemostasis, many studies have assessed the MPV value in patients with arterial and venous thrombotic disorders. These have then been summarized in some interesting meta-analyses and recent studies that will be discussed in this narrative review. Taken together, the currently available evidence suggests that the MPV may be substantially increased in concomitance with acute episodes of coronary artery disease, venous thromboembolism, portal vein thrombosis, stroke, erectile dysfunction and preeclampsia. In many of these conditions, an increased MPV value may also be associated with unfavorable outcomes. Despite these convincing findings, some important technical issues should be considered for improving the clinical usefulness of this measure. These essentially include anticoagulant, timing of sample collection, the sample storage conditions, the influence of the analytical techniques, the approaches used for its calculation, the accurate definition of reference ranges and diagnostic cut-offs, as well as the current lack of standardization, which makes data obtained with different techniques/analyzers poorly comparable. Provided that the impact of these variables can be abated or minimized, the MPV can gain a valuable role in the laboratory workout of many arterial and venous thrombotic disorders.

Prognostic value of the combination of GRACE risk score and mean platelet volume to lymphocyte count ratio in patients with ST-segment elevation myocardial infarction after percutaneous coronary intervention

The Global Registry of Acute Coronary Events (GRACE) risk score and the mean platelet volume to lymphocyte count ratio (MPVLR) can be used independently to predict adverse outcomes in patients with acute coronary syndromes. However, the level of MPVLR in relation to the GRACE score, and whether a combination of these methods can better predict the clinical adverse outcome of patients with ST-segment elevation myocardial infarction (STEMI), have not been previously examined. Therefore, the aim of the present study was to investigate whether the combination of GRACE risk score and MPVLR is a good predictor of a 30-day major adverse cardiovascular events (MACE) in patients with STEMI. A total of 464 patients with STEMI undergoing percutaneous coronary intervention (PCI) were enrolled, and divided into four groups based on the optimal cut-off values for GRACE score and MPVLR. GRACE score and MPVLR levels were separately recorded during admission. Spearman's rank correlation analysis showed a positive correlation between GRACE score and MPVLR (ρ=0.304; P<0.001). Both GRACE score [hazard ratio (HR), 1.706; 95% CI, 1.435-3.058; P<0.001] and MPVLR level (HR, 1.668; 95% CI, 1.202-2.170; P<0.001) were found to be independent predictors of a 30-day MACE. Additionally, the high MPVLR + high GRACE score group of patients had an HR of 2.455 (95% CI, 1.736-3.188) for a 30-day MACE, when using the low MPVLR + low GRACE score group as a reference. Based on the area under the curve, MPVLR combined with GRACE scores achieved an improved performance in differentiating angiographic no-reflow during a 30-day MACE, compared with individual MPVLR and GRACE scores. Therefore, the present results suggested that the GRACE score may be positively correlated with MPVLR and that their combination accurately predicted the occurrence of short-term MACE in patients with STEMI after PCI.

Mean platelet volume and coronary artery disease

PURPOSE OF REVIEW

To critically review the literature describing links between mean platelet volume (MPV) and cardiovascular disease (CVD). We will focus on coronary artery disease (CAD). The MPV is measured routinely as part of a routine blood count.

RECENT FINDINGS

There is accumulating evidence showing that the MPV may predict CVD, as well as outcomes in patients with CAD. There is also evidence linking MPV and comorbidities (e.g. diabetes mellitus and impaired glycaemic control) that are expected in patients with CAD. The effect on MPV of drugs commonly used to treat CAD has not been clarified, but there is some evidence that they may exert a beneficial effect on the MPV. More specifically, the MPV may predict the effect of antiplatelet drugs (e.g. clopidogrel). There is also evidence relating MPV to stroke, atrial fibrillation, coronary artery ectasia and periprocedural outcomes after percutaneous coronary intervention (PCI).

SUMMARY

Measuring the MPV may prove useful in CVD risk assessment in patients with established CAD or at risk of developing CAD. Overall, there is evidence pointing to the role of MPV as a contributor rather than simple marker of CVD.

Prognostic Value of Pre-Infarction Angina Combined with Mean Platelet Volume to Lymphocyte Count Ratio for No-Reflow and Short-Term Mortality in Patients with ST-Segment Elevation Myocardial Infarction Undergoing Percutaneous Coronary Intervention

Background

The aim of the present study was to investigate the clinical predictive value of pre-infarction angina (PIA) combined with mean platelet volume to lymphocyte count ratio (MPVLR) for no-reflow phenomenon and short-term mortality in patients with ST-segment elevation myocardial infarction (STEMI) undergoing percutaneous coronary intervention (PCI).

Material/Methods

A total of 1009 STEMI patients who had undergone PCI were enrolled and subdivided into 4 groups based on the occurrence of PIA and the presence of MPVLR above or below the cutoff value. Analysis of the predictors of the no-reflow phenomenon and 90-day mortality was conducted. Further, evaluation and comparison of the clinical predictive value of PIA, MPVLR, and their combination were done.

Results

Both MPVLR (odds ratio [OR]=1.476, 95% confidence interval [CI]: 1.401 to 1.756, P<0.001; hazard ratio [HR]=1.430, 95% CI: 1.287 to 1.643, P<0.001) and PIA (OR=0.905, 95% CI: 0.783 to 0.986, P<0.001; HR=0.878, 95% CI: 0.796 to 0.948, P<0.001) were independent predictors of no-reflow phenomenon and 90-day mortality. Spearman’s rank correlation test revealed that MPVLR (r=−0.297, P<0.001), monocyte to lymphocyte count ratio (MLR) (r=−0.211, P<0.001) and neutrophil to lymphocyte count ratio (NLR) (r=−0.389, P<0.001) in peripheral blood were significantly negatively correlated with postoperative left ventricular ejection fraction (LVEF). Upon comparing the area under curve (AUC), the MPVLR combined with PIA achieved better performance in differentiating no-reflow phenomenon (AUC=0.847, 95% CI: 0.821 to 0.874) and 90-day mortality (AUC=0.790, 95% CI: 0.725 to 0.855), than the GRACE score, MPVLR and PIA alone, and had similar performance to all other pairwise combinations of the GRACE score, MPVLR and PIA.

Conclusions

High MPVLR and PIA were independent predictors of the no-reflow phenomenon and 90-day mortality in patients with STEMI after PCI. Moreover, Combined application of MPVLR and PIA can effectively predict the occurrence of the no-reflow phenomenon and 90-day mortality.

Lower mean platelet volume is a risk indicator of hepatocellular carcinoma recurrence following liver transplantation

BACKGROUND

Lower mean platelet volume (MPV) is an indicator of platelet activity in the setting of tumor development. This study was to assess the relationship between preoperative MPV and survival outcomes of patients with hepatocellular carcinoma (HCC) following liver transplantation (LT).

METHODS

The demographic and clinical characteristics of 304 HCC patients following LT were retrieved from an LT database. All the patients were divided into the normal and lower MPV groups according to the median MPV. The factors were first analyzed using a Kaplan-Meier survival analysis, then the factors with P < 0.10 were selected for multivariate Cox regression analysis and were used to define the independent risk factors for poor prognosis.

RESULTS

The 1-, 3-, and 5-year tumor free survival was 95.34%, 74.67% and 69.29% in the normal MPV group, respectively, and 95.40%, 59.97% and 42.94% in the lower MPV group, respectively (P < 0.01). No significant difference was observed in post-LT complications between the normal and lower MPV groups. Portal vein tumor thrombosis (PVTT) [hazard ratio (HR = 2.24; 95% confidence interval: 1.46-3.43; P < 0.01) and lower MPV (HR = 1.58; 95% confidence interval: 1.05-2.36; P = 0.03) were identified as independent prognostic risk factors for recipient survival.

CONCLUSION

Preoperative lower MPV is a risk indicator of HCC patients survival outcomes after LT.