• Medicine · Jul 2024

    Observational Study

    An important diagnostic marker of acute myocardial infarction patients: Plasma miRNA133 levels.

    • Xiaona Cai, Jialin Shi, Yangmiao Xu, Liying Fu, Xiuming Feng, and Ruifang Zhao.
    • Department of Cardiology, Shaoxing People's Hospital, Shaoxing, Zhejiang, China.
    • Medicine (Baltimore). 2024 Jul 19; 103 (29): e38781e38781.

    AbstractThe objective of this study was to explore changes in miRNA133 levels as a basis for clinical diagnostic markers in patients with acute myocardial infarction (AMI). A total of 100 chest pain patient cases admitted to a hospital from June 2021 to December 2022 were used. The study involved the selection of 50 patients: 25 patients with unstable undetermined heart pain and 25 healthy subjects were included in the control group of 50 patients with non-AMI patients. Meanwhile, 50 patients with AMI were designated as the experimental group. Changes in miRNA133 levels in patients' plasma were analyzed for expression using quantitative fluorescence analysis. When the serum TPI, plasma NT-ProBNP, glycosylated hemoglobin, and plasma D-dimer index values were compared between the control and experimental groups, there was a statistically significant difference (P < .05). mi-RNA-133 had a mean plasma level value of 2.60 ± 1.01, the mean level value of mi-RNA-133 in patients with non-AMI was 1.34 ± 1.18, and the patients in the AMI group showed significantly high values of the mean plasma level of mi-RNA-133. The relative expression level value of cTnl in patients with AMI was 10.84 ± 12.64. Of the specificity and sensitivity diagnostics, mi-RNA-133 had the best diagnostic effect. The area under mi-RNA-133 in the regression curve was 95.4%, the specificity of the whole combination of indicators was 89.4% and the sensitivity was 100%. Finally, the correlation between mi-RNA-133 and white blood cell count (WBC) and TG was statistically significant (P < .05). In conclusion, changes in the level of mi-RNA-133 may be an important marker for diagnosing the status of patients with AMI, while a faster and more accurate method will emerge along with the improvement of the detection technology, and at the same time, due to the variability of the study cases and other limitations, further research will be carried out subsequently.Copyright © 2024 the Author(s). Published by Wolters Kluwer Health, Inc.

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