Title |
Diagnosis of non-ST-segment elevation acute coronary syndromes by testing myocardial injury and stress biomarkers in the emergency department / |
Translation of Title |
Ūminių vainikinių arterijų sindromų, kai ST segmentas nepakilęs, diagnostika Priėmimo-skubios pagalbos skyriuje, naudojant miokardo pažeidimo ir streso žymenis. |
Authors |
Juknevičienė, Renata |
Full Text |
|
Pages |
81 |
Keywords [eng] |
Acute coronary syndromes ; risk scores ; copeptin. |
Abstract [eng] |
The diagnostic pathway of suspected non-ST-segment elevation acute coronary syndromes is complicated and take a lot of time due to repeated tests for myocardial damage. The aim of this research was to develop an algorithm to confirm and safely rule out the diagnosis of non-ST-segment elevation acute coronary syndromes. In the prospective study we recruited 146 subjects and investigated the diagnostic actions of patients with suspected non-ST-segment elevation ACS in the emergency department. We performed a detailed assessment of patients’ anamnesis, prescribed laboratory tests and instrumental examinations, examined time intervals and final outcomes of patients, following them up to 6 months after the first visit. In our study we find out that HEART risk score showed better prognostic properties compared to GRACE. This study also used the copeptin concentration test in the diagnosis of non-ST-segment elevation acute coronary syndrome for the first time in the Lithuanian population. We concluded that copeptin concentration testing would allow reducing the time patients spend at the emergency department and safely discharge them to outpatient treatment. We have developed a new mathematical diagnostic model that is not based on subjective estimates but rather on specific values of two biomarker concentrations and validated risk factors that could be used in the emergency department for patients with suspected non-ST-segment elevation ACS. The proposed diagnostic tool would improve the diagnosis of non-ST-segment elevation acute myocardial infarction and the ruling-out of the diagnosis at the emergency department. More detailed studies are needed for the validation of this model and its applicability for the analysis at the emergency department. |
Dissertation Institution |
Vilniaus universitetas. |
Type |
Summaries of doctoral thesis |
Language |
English |
Publication date |
2022 |