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Serum GDF-15 Predicts In-Hospital Mortality and Arrhythmic Risks in Patients With Acute Myocardial Infarction

This study aims to evaluate the association of serum growth differentiation factor 15 (GDF-15) with in-hospital mortality and arrhythmic risks in patients with acute myocardial infarction (AMI). A total of 296 consecutive patients with AMI were enrolled in our hospital from Jan. 2018 to Dec. 2020. S...

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Detalles Bibliográficos
Autores principales: Mo, Qiuping, Zhuo, Liuan, Liao, Zhihong, Li, Rongshan, Chen, Yu, Geng, Jianfang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8753242/
https://www.ncbi.nlm.nih.gov/pubmed/35001647
http://dx.doi.org/10.1177/10760296211063875
Descripción
Sumario:This study aims to evaluate the association of serum growth differentiation factor 15 (GDF-15) with in-hospital mortality and arrhythmic risks in patients with acute myocardial infarction (AMI). A total of 296 consecutive patients with AMI were enrolled in our hospital from Jan. 2018 to Dec. 2020. Serum GDF-15 levels were measured at baseline. The primary endpoint was in-hospital all-cause mortality, and the secondary endpoint was major adverse cardiac events (MACEs) during hospitalization, defined as a composite of cardiovascular death, heart failure, sustained ventricular arrhythmias (ventricular tachycardia or ventricular fibrillation), and bleeding. During hospitalization, patients with a higher GDF-15 level had significantly higher incidences of in-hospital mortality (7.4% vs 1.4%; P = .02) and MACEs (9.5% vs 20.9%, P < .01) than those with a lower GDF-15 level. Multivariate logistic regression analysis showed that a higher GDF-15 level was significantly associated with increased risks of in-hospital mortality (OR = 1.92, 95% CI: 1.44-2.50; P < .01) and MACEs (OR = 2.19, 95% CI: 1.56-2.77; P < .01). In conclusion, GDF-15 was associated with the risks of in-hospital mortality and MACEs, indicating that it should be a prognostic biomarker for patients with AMI.