Effect of 24-hour heart rate fluctuations on mortality in patients with acute myocardial infarction: based on the MIMIC III database.

Guihong Zhang, Xiaohe Liu, Yan Zhao, Dan Li, Bo Wu
Author Information
  1. Guihong Zhang: The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
  2. Xiaohe Liu: The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China.
  3. Yan Zhao: Jinan Third People's Hospital, Jinan, Shandong, China.
  4. Dan Li: Department of Cardiovascular Disease, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China.
  5. Bo Wu: Department of Cardiovascular Medicine, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, Shandong, China. wubojinan@163.com.

Abstract

BACKGROUND: Heart rate (HR) was one of the risk factors for cardiovascular disease, but there was insufficient evidence to demonstrate a relationship between heart rate fluctuations and the prognosis of patients with acute myocardial infarction (AMI). The objective of this study is to investigate the relationship between 24-h heart rate fluctuations after admission to the Intensive Care Unit (ICU) and 30-day, 1-year, and 3-year mortality rates in patients with AMI in order to examine its implications for prognosis in AMI patients.
METHODS: All data were obtained from the Medical Information Mart for Intensive Care III Database (MIMIC III). We calculated heart rate fluctuations using the maximum and minimum values of the patient's heart rate during the first 24 h after ICU admission and divided them into three groups (< 23beats/min, 23-33beats/min, > 33beats/min) according to tertiles. The COX risk regression model was applied to the analysis, and subgroup analyses were performed for use in testing the robustness of the results. Curve fitting was performed to explore whether there was a nonlinear relationship between heart rate fluctuations and mortality. Outcome measures were 30-day, 1-year, and 3-year mortality in patients with AMI.
RESULTS: After strict confounding adjustment, COX multifactorial analysis showed that patients' heart rate fluctuations were positively associated with 30-day, 1-year, and 3-year mortality rates (HR = 1.17, 95%CI: 1.11 ~ 1.23; HR = 1.17, 95%CI: 1.12 ~ 1.22; HR = 1.17, 95%CI: 1.12 ~ 1.21). In addition, the high heart rate fluctuation group (> 33 beats/min) had a significantly increased risk of death (HR = 1.76, 95%CI: 1.28 ~ 2.42; HR = 1.59, 95%CI: 1.25 ~ 2.03; HR = 1.43, 95%CI: 1.15 ~ 1.77). In the curve-fitting analysis, a J-shaped curve relationship among heart rate fluctuations and 1- and 3-year mortality was found (p for non-linearity = 0.049; p for non-linearity = 0.004), with an inflection point of 28 beats/min. In subgroup analyses, there was an interaction between heart rate fluctuations and age (P for interaction = 0.041).
CONCLUSIONS: Heart rate fluctuations within 24 h after ICU admission of AMI patients were associated with 30-day, 1-year, and 3-year mortality, which is a simple and stable predictor of patients' short- and long-term prognosis. Furthermore, 24-h heart rate fluctuations showed a "J" curve relationship with 1- and 3-year mortality, with fluctuations of 28 beats/min predicting the best prognosis.

Keywords

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MeSH Term

Humans
Heart Rate
Myocardial Infarction
Male
Female
Aged
Middle Aged
Databases, Factual
Time Factors
Prognosis
Risk Assessment
Risk Factors
Intensive Care Units
Circadian Rhythm
Patient Admission

Word Cloud

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