European Journal of Molecular & Clinical Medicine

Background:Acute coronary syndrome (ACS) continues to be a leading cause of morbidity and mortality worldwide. Limited data on galectin-3 and pentraxin-3 are found as biomarkers in the ACS population. The objective of this study was to determine the variables that are most affected by high concentrations of pentraxin-3 (PTX-3) and galectin-3 (GAL-3), and the influence they have on outcomes of all-cause mortality in patients with ACS. Patients & Methods:One hundred and fifty patients with ST elevation myocardial infarction (STEMI) were included with 30 healthy subjects served as controls. Blood samples were drawn beforeprimary percutaneous coronary intervention (PCI) and after 12 and 48 hours. Critical changes in Troponine I as well as in PTX-3, GAL-3, lipid profile, CRP, RBS and cardiac enzymes markers were examined. Results:Highly significant time dependent increase in serum PTX-3 and Gal-3 was observed among acute STEMI patients when compared to controls. Troponin I, PXT-3, and GAL-3 showed high sensitivity and specificity in the prediction of Acute STEMI. Sensitivities of Troponin I, PXT-3, and GAL-3 were 96%, 90% and 94% respectively, while specificities were 85%, 85% and 85% respectively. Moreover, significant increase in Troponin I, LDH, AST, CK-total, CK-MB, CRP, RBS and lipid profile were observed among the acute STEMI patients as compared to controls.

Prediction of fatal arrhythmias in acute myocardial infarction (AMI) is extremely
important. Objective: Create a differential diagnostic model for predicting sudden
cardiac death in elderly patients with STEMI with the history of PCI. Methods: We
studied 152 patients (143 men and 9 women), mean age 70.3±3.4 years, with STEMI
after PCI; EF LV less than 50%. The patients were divided into 2 groups: those who
died on the first day from SCD and those who survived. The QT interval and its parts
were measured upon admission and after PCI. The control group consisted of 30
healthy individuals. Results: A model was developed for determining the level of risk
of arrhythmic death on the first day from SCD after successful PCI based on ECG
criteria using DA. The most informative for the differential diagnosis was a set of the
following indicators: QTd, QTapcd, and SubTd. The most significant indicator is Sub
Td. The following algorithms were developed: ROAD = Qtd x 0.3438 + QTapcd x
0.0842 - SubTd x 0.0864 - 19.5068, NROAD = Qtd x 0.1997 - QTapcd x 0.0148 +
SubTd x 0.3261 - 20.893. Their practical implementation on models is proved.
Conclusion: The creation of a “ROAD/NROAD” differential diagnosis model for
predicting SCD in patients with STEMI after PCI suggests practical application at the
prehospital stage in this category of patients for prophylactically fatal VA and SCD.
Assessment of the possible development of adverse events in patients with STEMI
after PCI is possible using the ECG method based on the use of indicators such as
QTd, QTapcd, and SubTd at the prehospital stage.

Prediction of fatal arrhythmias in acute myocardial infarction (AMI) is extremely
important. Objective: Create a differential diagnostic model for predicting sudden
cardiac death in elderly patients with STEMI with the history of PCI. Methods: We
studied 152 patients (143 men and 9 women), mean age 70.3±3.4 years, with STEMI
after PCI; EF LV less than 50%. The patients were divided into 2 groups: those who
died on the first day from SCD and those who survived. The QT interval and its parts
were measured upon admission and after PCI. The control group consisted of 30
healthy individuals. Results: A model was developed for determining the level of risk of
arrhythmic death on the first day from SCD after successful PCI based on ECG criteria
using DA. The most informative for the differential diagnosis was a set of the following
indicators: QTd, QTapcd, and SubTd. The most significant indicator is Sub Td. The
following algorithms were developed: ROAD = Qtd x 0.3438 + QTapcd x 0.0842 -
SubTd x 0.0864 - 19.5068, NROAD = Qtd x 0.1997 - QTapcd x 0.0148 + SubTd x
0.3261 - 20.893. Their practical implementation on models is proved. Conclusion: The
creation of a “ROAD/NROAD” differential diagnosis model for predicting SCD in
patients with STEMI after PCI suggests practical application at the prehospital stage in
this category of patients for prophylactically fatal VA and SCD. Assessment of the
possible development of adverse events in patients with STEMI after PCI is possible
using the ECG method based on the use of indicators such as QTd, QTapcd, and
SubTd at the prehospital stage.