Prognostic Models after primary coronary angioplasty

Postgraduate Thesis uoadl:3229475 40 Read counter

Unit:
Κατεύθυνση Επεμβατική Καρδιολογία
Library of the School of Health Sciences
Deposit date:
2022-09-08
Year:
2022
Author:
Vlachou Ioannis
Supervisors info:
Κωνσταντινός Τούτουζας, Καθηγητής, Ιατρική Σχολή, ΕΚΠΑ
Δημήτριος Τούσουλης, Καθηγητής, Ιατρική Σχολή, ΕΚΠΑ
Ελένη Κυρίτση, Ομ. Καθηγήτρια, Τμήμα Νοσηλευτικής, ΠΑΔΑ
Original Title:
Προγνωστικά μοντέλα μετά από πρωτογενή αγγειοπλαστική
Languages:
Greek
Translated title:
Prognostic Models after primary coronary angioplasty
Summary:
Introduction: Primary percutaneous coronary intervention (PPCI) has been shown
to be the most effective treatment for myocardial infarction with ST-segment
elevation. There are several risk scores for predicting the outcome of patients with
chronic stable angina or acute coronary syndromes undergoing revascularization.
Aim: The aim of the present study was to compare the diagnostic accuracy of
prognostic models in predicting the outcome of patients who underwent primary
angioplasty.
Material and method: The study sample consisted of 340 patients who underwent
successful primary PCI due to STEMI at the G.Η.Α. "HIPPOKRATION" who met the
criteria required by the study.
Results: The present study demonstrates that the use of SYNTAX II SCORE
provides a similar prognostic capacity of cardiovascular mortality (<0.001) to other
prognostic models, such as SYNTAXSCORE (<0.001), EUROADITIVE (<0.001),
ACEF (<0.001), CLINICALSS (0.00) ), EUROSCORE II (0.001). Other factors that
are also responsible for the highest incidence of death are old age (0.019), three
vessels lesion (0.010), abnormal creatinine values (<0.001), stroke (<0.001) and
MACE (<0.001).
Conclusion: The use of various prognostic models has a similar prognostic capacity
in terms of predicting cardiovascular mortality and major cardiovascular events.
Certain clinical factors such as age, impaired renal function, diabetes mellitus and
left ventricular ejection fraction (LVEF) have been recognized as independent
prognostic markers of major cardiovascular events in this population.
Main subject category:
Health Sciences
Keywords:
Prognostic models, Miocardial infarction, Angioplasty, Mortality, Major cardiovascular events
Index:
No
Number of index pages:
0
Contains images:
Yes
Number of references:
89
Number of pages:
65
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