Prognostic value of heart rate variability in acute coronary syndrome

Seetharam, Smitha Pernaje; Shankar, Vinutha; Udupa, Kaviraja; Raveesha, A; Reddy, Niranjan

doi:10.1515/jbcpp-2022-0134

Cited by 3 publications

(1 citation statement)

References 22 publications

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“…In recent years, studies have shown that the occurrence of acute coronary syndrome with circadian changes, good at 7~12h in the morning, considering the nerve and endocrine activity circadian cycle changes, early morning sympathetic activity increases, catecholamine levels increase, and heart rate speed up myocardial contractility increases, and the vasoconstriction, aggravating the imbalance of myocardial supply and demand, morning plasmin activity decreases, platelet aggregation increases, antithrombin O activity decreases, the above factors promote the development of plaque rupture and the formation of local thrombosis [15]. In addition, the coronary artery curvature and torsion produced by each diastole may also trigger plaque rupture.…”

Section: Nerve and Endocrine Systemmentioning

confidence: 99%

Prevention and Treatment of Acute Coronary Artery Syndrome

2023

TNS

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Acute coronary syndrome(ACS) refers to a group of clinical symptoms caused by acute myocardial ischemia, including unstable angina pectoris, acute myocardial infarction, and sudden ischemic death. In recent years, studies have shown that the main mechanism of its occurrence is the rupture of plaque and the consequent intravascular thrombosis. Multiple factors may lead to the occurrence of the disease. However, the mechanism of the histomorphological change from pre-fragmentation to post-fragmentation is still unclear. Vasospasm may also play an important role. Prevention of plaque formation and rupture or prevention of thrombosis by antithrombotic therapy is effective in reducing the incidence of acute coronary syndrome, and coronary intervention also reduces the mortality of acute coronary syndrome. Some new therapies, such as gene therapy, are still in the experimental stage. At the same time, people should improve the awareness of disease prevention, and the most active prevention is the best means of disease treatment.

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Section: Nerve and Endocrine Systemmentioning

confidence: 99%

Prevention and Treatment of Acute Coronary Artery Syndrome

2023

TNS

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Short-term heart rate variability at rest in individuals with temporomandibular disorder: a comparative analysis

Cutrim,

Santos-de-Araújo,

Pontes-Silva

et al. 2023

Clin Oral Invest

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The correlation between heart rate variability index and vulnerability prognosis in patients with acute decompensated heart failure

Liu,

Wang,

Wang

2023

PeerJ

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Objective To explore the correlation between Heart Rate Variability Index (HRV) and poor prognosis in patients with acute decompensated heart failure (ADHF). Methods A retrospective compilation of clinical data encompassed 128 cases of patients afflicted with acute decompensated heart failure (ADHF) who were admitted to and discharged from our hospital between April 2019 and July 2022. Subsequent to assessing their follow-up progress during the tracking period, the subjects were categorized into two cohorts: the poor prognosis group (n = 31) and the good prognosis group (n = 97). Comparative analysis of clinical data and Heart Rate Variability (HRV) parameters was executed between these two groups. Moreover, a multiple linear regression analysis was employed to identify the contributing factors associated with adverse prognoses in ADHF patients. Furthermore, the receiver operating characteristic (ROC) curve was employed to evaluate the prognostic predictive capability of HRV parameters among ADHF patients. Results The levels of SDNN (t = 3.924, P < 0.001), SDANN (t = 4.520, P < 0.001) and LF (t = 2.676, P = 0.018) in the poor prognosis group were significantly higher than those in the good prognosis group, and the differences were statistically significant (P < 0.05). The levels of PNN50 (t = 2.132, P = 0.035), HF (t = 11.781, P < 0.001) and LF/HF (t = 11.056, P < 0.001) in the poor prognosis group were significantly lower than those in the good prognosis group (P < 0.05). The results of multiple linear regression analysis indicated that SDNN, SDANN, LF, PNN50, and HF were factors influencing poor prognosis in ADHF patients (P < 0.05). The results of the ROC curve analysis indicate that the area under the curve (AUC) for predicting poor prognosis in ADHF patients using HRV parameters were as follows: SDNN (AUC = 0.818, 95% CI [0.722–0.914]), SDANN (AUC = 0.684, 95% CI [0.551–0.816]), PNN50 (AUC = 0.754, 95% CI [0.611–0.841]), LF/HF (AUC = 0.787, 95% CI [0.679–0.896]), and combined diagnosis (AUC = 0.901, 95% CI [0.832–0.970]). Among these, the combined diagnosis exhibited the highest AUC, sensitivity, and specificity for predicting poor prognosis in ADHF patients (P < 0.001). Conclusion The HRV parameters of SDNN, SDANN, PNN50 and LF/HF are closely related to the prognosis of ADHF patients. The combined detection of the above HRV parameters can improve the efficacy of predicting the poor prognosis of ADHF patients. This suggests that clinical staff can identify ADHF patients at risk of poor prognosis by long-term monitoring of HRV in the future.

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Prognostic value of heart rate variability in acute coronary syndrome

Cited by 3 publications

References 22 publications

Prevention and Treatment of Acute Coronary Artery Syndrome

Prevention and Treatment of Acute Coronary Artery Syndrome

Short-term heart rate variability at rest in individuals with temporomandibular disorder: a comparative analysis

The correlation between heart rate variability index and vulnerability prognosis in patients with acute decompensated heart failure

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