B-type natriuretic peptide as a predictor of anterior wall location in patients with non-ST-elevation myocardial infarction

The association between myocardial early systolic lengthening and high risk angiographic territory involvement in patients with non-ST-segment elevation myocardial infarction

BACKGROUND

Non-ST-segment elevation myocardial infarction (NSTEMI) is more common than ST-segment elevation myocardial infarction (STEMI), consisting of 60-70% of myocardial infarctions. When left ventricular (LV) pressure increases during early systole, regionally ischaemic myocardium with a reduced active force exhibit stretching. The aim of this study was to evaluate the role of this parameter in determining high risk angiographic territory involvement in NSTEMI patients.

RESULTS

This study was a descriptive correlational research that was conducted on 96 patients with NSTEMI and a left ventricular ejection fraction ≥ 50% who underwent coronary angiography (CAG). Patients were divided into two groups based on having or not having high risk angiographic territory involvement in CAG. All patients underwent a transthoracic echocardiography during the first day of hospitalization and early systolic lengthening (ESL), duration of ESL (DESL), left ventricular global longitudinal strain (LVGLS), pulsed-wave Doppler-derived transmitral early (E wave) and late (A wave) diastolic velocities, and tissue-Doppler-derived mitral annular early diastolic (e') and peak systolic (s') velocities were determined. The results of this study showed DESL, DESLLAD, and DESLLCX were longer in high risk angiographic territory group than other one (P value 0.016, 0.044, and 0.04, respectively). The logistic regression analysis showed among different variables, only age and ESLLAD had an independent association with high risk angiographic territory involvement (P = 0.01, odds ratio [OR] 1.09, 95% CI 1.021-1.164, and P = 0.024, odds ratio [OR] 1.243, 95% CI 1.029-1.50, respectively).

CONCLUSIONS

Assessment of myocardial ESLLAD by speckle-tracking echocardiography may be helpful in predicting high risk angiographic territory involvement in patients with NSTEMI. Indeed, a higher value can be considered as a high risk parameter which may show benefit of an early invasive strategy versus a conservative approach.

Mean platelet volume predicts left descending artery occlusion in patients with non-ST-elevation myocardial infarction

Platelets play an important role in atherothrombosis. As the most common site plaque occurs, left anterior descending artery (LAD) infarct location always associate with poor prognosis. We sought to assess whether mean platelet volume (MPV) could predict LAD infarct location and short-term clinical outcome. In this study, 190 consecutive patients with non-ST-elevation myocardial infarction (NSTEMI) were enrolled. Clinical, electrocardiography and laboratory characteristics were measured. All patients underwent coronary angiography examination and had definite culprit vessel during hospitalization. The results showed that MPV was smaller in patients with a LAD infarct location than that of left circumflex artery or right coronary artery (9.0 ± 1.5 versus 9.8 ± 1.6, p<0.001). Multivariate analysis also showed that MPV was the only independent factor to predict LAD infarct location [Odds ratio (OR)=0.65, 95% confidence interval (CI) 0.53-0.80, p<0.0001] in patients with NSTEMI. B-type natriuretic peptide and electrocardiography were unreliable predictive factors to locate culprit vessel. Receiver operating characteristic curve analysis showed MPV (area under the curve: 0.65, 95% CI 0.56-0.74, p<0.01) could reliably discriminate those patients with NSTEMI who had a major in-hospital event. Multivariate regression analyses also showed that MPV (OR=1.46, 95% CI 1.15-1.86, p<0.01) were predictors of major in-hospital events. In conclusion, MPV was the only factor independently associated with LAD infarct location in patients with non-ST-elevation myocardial infarction.

Comparing the diagnostic values of circulating microRNAs and cardiac troponin T in patients with acute myocardial infarction

OBJECTIVE

Recent studies have shown that circulating microRNAs might be useful, novel biomarkers for the diagnosis of acute myocardial infarction. The aims of this study were to evaluate the expression of cardiac-specific miRNAs (miR-1, -133a, -208b, and -499) in patients with acute myocardial infarction and to compare the diagnostic values of these miRNAs with that of cardiac troponin T.

METHODS

Sixty-seven plasma samples obtained from patients with acute myocardial infarction and 32 plasma specimens collected from healthy volunteers were analyzed in this study. The levels of cardiac-specific miRNAs (miR-1, -133a, -208b, and -499) were measured by quantitative reverse transcription-polymerase chain reaction, and the concentrations of plasma cardiac troponin T were measured using electrochemiluminescence-based methods and an Elecsys 2010 Immunoassay Analyzer.

RESULTS

The levels of plasma miR-1, -133a, -208b, and -499 were significantly higher in acute myocardial infarction patients (all p<0.001) than in healthy volunteers. The expression of the cardiac-specific miRNAs in acute myocardial infarction patients decreased to close to the baseline levels at the time of hospital discharge (all p>0.05). There were no correlations between the levels of the four circulating miRNAs and the clinical characteristics of the study population (all p>0.05). Furthermore, receiver operating characteristic curve analyses showed that the four plasma miRNAs were not superior to cardiac troponin T for the diagnosis of acute myocardial infarction (all p>0.05).

CONCLUSION

Our results demonstrate that circulating miR-1, -133a, -208b, and -499 may be useful biomarkers in acute myocardial infarction patients but that these miRNAs are not superior to cardiac troponin T for the diagnosis of acute myocardial infarction.

In-hospital death in acute coronary syndrome was related to admission glucose in men but not in women

Background

Admission hyperglycaemia is associated with mortality in patients with acute coronary syndrome (ACS), but controversy exists whether hyperglycaemia uniformly affects both genders. We evaluated coronary risk factors, gender, hyperglycaemia and their effect on hospital mortality.

Methods

959 ACS patients (363 women and 596 men) were grouped based on glycaemia ≥ or < 200 mg/dL and gender: men with glucose < 200 mg/dL (menG-); women with glucose < 200 mg/dL (womenG-); men with glucose ≥ 200 mg/dL (menG+); and women with glucose ≥ 200 mg/dL (womenG+). A logistic regression analysis compared the relation between gender and glycaemia groups and death, adjusted for coronary risk factors and laboratory data.

Results group

menG- had lower mortality than menG + (OR = 0.172, IC95% 0.062-0.478), and womenG + (OR = 0.275, IC95% 0.090-0.841); womenG- mortality was lower than menG + (OR = 0.230, IC95% 0.074-0.717). No difference was found between menG + vs womenG + (p = 0.461), or womenG- vs womenG + (p = 0.110). Age (OR = 1.067, IC95% 1.031–1.104), EF (OR = 0.942, IC95% 0.915-0.968), and serum creatinine (OR = 1.329, IC95% 1.128-1.566) were other independent factors related to in-hospital death.

Conclusions

Death was greater in hyperglycemic men compared to lower blood glucose men and women groups, but there was no differences between women groups in respect to glycaemia after adjustment for coronary risk factors.

BNP and admission glucose as in-hospital mortality predictors in non-ST elevation myocardial infarction

OBJECTIVES

Admission hyperglycemia and B-type natriuretic peptide (BNP) are associated with mortality in acute coronary syndromes, but no study compares their prediction in-hospital death.

METHODS

Patients with non-ST-elevation myocardial infarction (NSTEMI), in-hospital mortality and two-year mortality or readmission were compared for area under the curve (AUC), sensitivity (SEN), specificity (SPE), positive predictive value (PPV), negative predictive value (NPV), and accuracy (ACC) of glycemia and BNP.

RESULTS

Respectively, AUC, SEN, SPE, PPV, NPV, and ACC for prediction of in-hospital mortality were 0.815, 71.4%, 84.3%, 26.3%, 97.4%, and 83.3% for glycemia = 200 mg/dL and 0.748, 71.4%, 68.5%, 15.2%, 96.8% and 68.7% for BNP = 300 pg/mL. AUC of glycemia was similar to BNP (P = 0.411). In multivariate analysis we found glycemia ≥200mg/dL related to in-hospital death (P = 0.004). No difference was found in two-year mortality or readmission in BNP or hyperglycemic subgroups.

CONCLUSION

Hyperglycemia was an independent risk factor for in-hospital mortality in NSTEMI and had a good ROC curve level. Hyperglycemia and BNP, although poor in-hospital predictors of unfavorable events, were independent risk factors for death or length of stay >10 days. No relation was found between hyperglycemia or BNP and long-term events.