A Multivariate Model to Predict Chronic Heart Failure after Acute ST-Segment Elevation Myocardial Infarction: Preliminary Study

Valentin Elievich Oleynikov; Elena Vladimirovna Averyanova; Anastasia Aleksandrovna Oreshkina; Nadezhda Valerievna Burko; Yulia Andreevna Barmenkova; Alena Vladimirovna Golubeva; Vera Aleksandrovna Galimskaya

doi:10.3390/diagnostics11101925

A Multivariate Model to Predict Chronic Heart Failure after Acute ST-Segment Elevation Myocardial Infarction: Preliminary Study

Diagnostics (Basel). 2021 Oct 18;11(10):1925. doi: 10.3390/diagnostics11101925.

Authors

Valentin Elievich Oleynikov¹, Elena Vladimirovna Averyanova¹, Anastasia Aleksandrovna Oreshkina¹, Nadezhda Valerievna Burko¹, Yulia Andreevna Barmenkova¹, Alena Vladimirovna Golubeva¹, Vera Aleksandrovna Galimskaya¹

Affiliation

¹ Department of Therapy, Medical Institute, Penza State University, 440026 Penza, Russia.

Abstract

A multivariate model for predicting the risk of decompensated chronic heart failure (CHF) within 48 weeks after ST-segment elevation myocardial infarction (STEMI) has been developed and tested.

Methods: The study included 173 patients with acute STEMI aged 51.4 (95% confidence interval (CI): 42-61) years. Two-dimensional (2D) speckle-tracking echocardiography (STE) has been performed on the 7th-9th days, and at the 12th, 24th, and 48th weeks after the index event with the analysis of volumetric parameters and values for global longitudinal strain (GLS), global circumferential strain (GCS), and global radial strain (GRS). A 24-h ECG monitoring (24 h ECG) of the electrocardiogram (ECG) to assess heart rate turbulence (HRT) has been performed on the 7th-9th days of STEMI. The study involved two stages of implementation. At the first stage, a multivariate model to assess the risk of CHF progression within 48 weeks after STEMI has been built on the basis of examination and follow-up data for 113 patients (group M). At the second stage, the performance of the model has been assessed based on a 48-week follow-up of 60 patients (group T).

Results: A multivariate regression model for CHF progression in STEMI patients has been created based on the results of the first stage. It included the following parameters: HRT, left ventricular (LV) end-systolic dimension (ESD), and GLS. The contribution of each factor for the relative risk (RR) of decompensated CHF has been found: 3.92 (95% CI: 1.66-9.25) (p = 0.0018) for HRT; 1.04 (95% CI: 1.015-1.07) (p = 0.0027) for ESD; 0.9 (95% CI: 0.815-0.98) (p = 0.028) for GLS. The diagnostic efficiency of the proposed model has been evaluated at the second stage. It appeared to have a high specificity of 83.3%, a sensitivity of 95.8%, and a diagnostic accuracy of 93.3%.

Conclusion: The developed model for predicting CHF progression within 48 weeks after STEMI has a high diagnostic efficiency and can be used in early stages of myocardial infarction to stratify the risk of patients.

Keywords: 24-h ECG monitoring; 2D echocardiography; chronic heart failure; heart rate variability; myocardial infarction.