<?xml version="1.0" encoding="UTF-8"?>
<records>
<record>
<language>eng</language>
<publisher>Science and Education Publishing</publisher>
<journalTitle>American Journal of Medical Sciences and Medicine</journalTitle>
<eissn>2327-6657</eissn>
<publicationDate>2026  ORCID: https://orcid.org/0009-0007-5834-5131-06-01</publicationDate>
<volume>14</volume>
<issue>1</issue>
<startPage>13</startPage>
<endPage>16</endPage>
<doi>10.12691/ajmsm-14-1-3</doi>
<publisherRecordId>AJMSM20261413</publisherRecordId>
<documentType>article</documentType>
<title language="eng">Determinants of Adverse Outcomes after Myocardial Infarction in Young Patients: A Clinico-Metabolic and Structural Analysis</title>
<authors>
<author>
<name>D. A. Alimov</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>B. F. Mukhamedova</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>M. Kh. Nazarova</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>B. O. Kazakov</name>
<email>KBEXZODBEK@mail.ru</email>
<affiliationId>1</affiliationId>
</author>
<author>
<name>N. F. Berdiev</name>
<affiliationId>1</affiliationId>
</author>
<author>
<name>M. R. Kazakova</name>
<affiliationId>2</affiliationId>
</author>

</authors>
<affiliationsList>
<affiliationName affiliationId="1">Republican Research Centre of Emergency Medicine, Tashkent, Uzbekistan</affiliationName>




<affiliationName affiliationId="2">Tashkent State Medical University</affiliationName>
</affiliationsList>
<abstract language="eng">Background. Myocardial infarction (MI) in young individuals is an increasingly recognized clinical problem associated with distinct risk factors and prognostic features. Aim. To evaluate clinical, metabolic, and structural-functional characteristics of MI in young patients and to identify predictors of adverse cardiovascular outcomes. Material and methods. A prospective cohort study included 108 young patients (18每45 years) with confirmed MI and 35 older patients (60每75 years). Clinical, laboratory, echocardiographic, and angiographic parameters were assessed at baseline and during a 12-month follow-up. The primary endpoint was a composite of major adverse cardiovascular events (MACE), including cardiovascular death, recurrent MI, unstable angina, and revascularization. Receiver operating characteristic (ROC) analysis and Kaplan每Meier survival analysis were performed. Results. Young patients were predominantly male (85.2%) and more frequently presented with ST-elevation MI (84.3%). Smoking was significantly more prevalent among young patients compared to older individuals (70.2% vs 20.6%, p&lt;0.001), along with a higher prevalence of family history of early coronary artery disease. In contrast, hypertension and type 2 diabetes were more common in older patients. Coronary angiography demonstrated a higher prevalence of single-vessel disease in young patients (48.9% vs 26.7%, p=0.033), whereas multivessel disease predominated in the elderly group. At 12 months, MACE occurred in 24% of young patients, with a mortality rate of 3%. ROC analysis showed good predictive performance of selected parameters (AUC &gt;0.70), while Kaplan每Meier analysis revealed significantly lower event-free survival in high-risk patients. Smoking, hypertension, and increased platelet aggregation were identified as independent predictors of adverse outcomes. Conclusion. Young MI patients exhibit a distinct clinical profile characterized by a high prevalence of modifiable risk factors and predominantly single-vessel coronary disease. Despite relatively favorable baseline characteristics, they remain at substantial risk of adverse cardiovascular outcomes. Aggressive risk factor modification and personalized long-term management strategies are essential to improve prognosis.</abstract>
<fullTextUrl format="pdf">https://pubs.sciepub.com/ajmsm/14/1/3/ajmsm-14-1-3.pdf</fullTextUrl>
<keywords language="eng"><keyword>Myocardial infarction</keyword>
<keyword>young patients</keyword>
<keyword>prognosis</keyword>
<keyword>risk factors</keyword>
<keyword>ROC curve</keyword>
<keyword>Kaplan每Meier</keyword>
<keyword>cardiovascular outcomes</keyword>
</keywords>
</record>
</records>
