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. 2022 Jul-Aug;37(4):359-367.
doi: 10.1097/JCN.0000000000000796. Epub 2021 Feb 28.

Factors Associated With Myocardial Infarction Reoccurrence

Willie M Abel, Lauren N Scanlan, Carolyn E Horne, Patricia B Crane

Factors Associated With Myocardial Infarction Reoccurrence

Willie M Abel et al. J Cardiovasc Nurs. 2022 Jul-Aug.

Abstract

Background: As recurrent myocardial infarctions (MIRs) constitute almost a third of the annual incidence of myocardial infarction, identifying the traditional and novel variables related to MIR is important.

Objective: The aim of this study was to examine modifiable cardiac risks, adiposity, symptoms associated with inflammation (fatigue, depression, sleep) and inflammatory cytokines, and MIR by sex and race.

Methods: Using a cross-sectional descriptive design, we recruited a convenience sample of adults (N = 156) discharged with first myocardial infarction or had MIR in the last 3 to 7 years. Surveys measured demographics, cardiac risk factors, depression, sleep, and fatigue. Anthropometric measures and cytokines tumor necrosis factor-α, interleukin-6, and high-sensitivity C-reactive protein (hsCRP) were obtained. A maximum likelihood regression was calculated to predict MIR.

Results: The sample included 57% male and 30% Black participants, and the mean (SD) age was 65 (12) years. The hsCRP was the only cytokine related to symptoms: fatigue ( r = 0.309, P < .001) and depression ( r = 0.255, P = .002). An MIR was not associated with race despite White participants reporting better sleep ( t146 = -3.25, P = .002), lower body mass index ( t154 = -3.49, P = .001), and fewer modifiable risk factors ( t152 = -2.05, P = .04). An MIR was associated with being male, higher hsCRP and tumor necrosis factor-α levels ( P < .001), and higher inflammatory symptoms of fatigue ( P = .04), depression ( P = .01), and poor sleep ( P < .001).

Conclusion: Further examination of biomarkers to understand the mechanisms associated with inflammatory symptoms of fatigue, depression, and poor sleep and MIR is needed.

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Conflict of interest statement

The authors have no conflicts of interest to disclose.

Figures

Figure 1.
Figure 1.
ML Multiple Regression to Predict MIR, Sex, and Race from the Variables
See this image and copyright information in PMC

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