A study of the clinical impact of different heart rate control management in patients with STEMI after percutaneous coronary intervention

Author:

Du Wentao1,Shi Xue1,Chen Xianru1,Wang Xiu1

Affiliation:

1. 1 Affiliated Hospital of Hebei University of Engineering , Handan , Hebei , , China .

Abstract

Abstract Post-PCI STEMI patients may suffer from reduced perfusion capacity and myocardial injury, and few existing studies have focused on the role of heart rate control management in the clinical impact of post-PCI. In this paper, we first selected post-PCI STEMI patients as an example, given specific inclusion and exclusion criteria, and conducted controlled experiments through heart rate stability testing with different heart rate control administration programs. Secondly, linear regression combined with the SCAD penalty function was utilized for the screening of clinical impact variables in post-PCI STEMI patients. Finally, the clinical response, TIMI flow classification and myocardial injury of STEMI patients after PCI were analyzed, and the clinical influencing factors of STEMI patients were fully explored by combining ROC curve with linear regression. The results showed that the total effective rate of clinical efficacy in the MACE group was 95.65%, the significance test result of TIMI flow classification was 0.012, and myocardial injury indexes showed significant differences at 1% level after different stages of the beta-lactam dosing regimen. The predictive sensitivity in the MACE group was 95.29%, and its 95% confidence interval was 0.882~0.945. The number of high risks in the linear regression decreased almost 9-fold when the threshold of LogP was increased from 0 to 0.4. The management of heart rate control in post-PCI STEMI patients can be effectively achieved by different stages of the beta-lactam dosing regimen, and the negative impact on STEMI patients after PCI can be reduced.

Publisher

Walter de Gruyter GmbH

Subject

Applied Mathematics,Engineering (miscellaneous),Modeling and Simulation,General Computer Science

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