Attenuated 24-h heart rate variability in apparently healthy subjects, subsequently suffering sudden cardiac death

1991 ◽  
Vol 1 (3) ◽  
pp. 233-237 ◽  
Author(s):  
Henning Mølgaard ◽  
Keld Ejvind Sørensen ◽  
Preben Bjerregaard
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Healthy Subjects ◽  
Apparently Healthy

scholarly journals Effects of Marine n-3 Polyunsaturated Fatty Acids on Heart Rate Variability and Heart Rate in Patients on Chronic Dialysis: A Randomized Controlled Trial

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1313 ◽  
Author(s):  
Jesper Rantanen ◽  
Sam Riahi ◽  
Martin Johansen ◽  
Erik Schmidt ◽  
Jeppe Christensen
Keyword(s):  
Fatty Acids ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sudden Cardiac Death ◽  
Polyunsaturated Fatty Acids ◽  
Cardiac Death ◽  
Controlled Trial ◽  
Chronic Dialysis ◽  
Dialysis Vintage ◽  
The Mean

Marine n-3 polyunsaturated fatty acids (PUFA) may improve autonomic dysfunction, as indicated by an increase in heart rate variability (HRV) and reduce the risk of sudden cardiac death. Hence, the aim of this study was to investigate the effects of marine n-3 PUFA on 24-h HRV in patients on chronic dialysis, who have a high risk of sudden cardiac death. Between June 2014 and March 2016, 112 patients on chronic dialysis from Denmark were allocated to a daily supplement of 2 g marine n-3 PUFA or control for three months in a randomized, double-blinded, controlled trial. A 48-h Holter monitoring was performed and mean 24-h HRV indices for the two days were available in 85 patients. The mean age was 62.3 years (SD: 14.3) and median dialysis vintage was 1.7 years (IQR: 0.5, 6.4). Within-group and between-group changes in outcome were evaluated by a paired and two sample t-test, respectively. Marine n-3 PUFA did not change the primary endpoint SDNN (SD of all RR-intervals) reflecting overall HRV, but other HRV indices increased and the mean RR-interval increased significantly, corresponding to a decrease in heart rate by 2.5 beats per minute (p = 0.04). In conclusion, marine n-3 PUFA did not change SDNN, but the mean heart rate was significantly reduced and changes in other HRV-indices were also observed, indicating an increase in vagal modulation that might be protective against malignant ventricular arrhythmias.

scholarly journals Prediction of Sudden Cardiac Death Risk with a Support Vector Machine Based on Heart Rate Variability and Heartprint Indices

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5483
Author(s):  
Marisol Martinez-Alanis ◽  
Erik Bojorges-Valdez ◽  
Niels Wessel ◽  
Claudia Lerma
Keyword(s):  
Heart Rate ◽  
Support Vector Machine ◽  
Heart Rate Variability ◽  
Sudden Cardiac Death ◽  
Cardiac Death ◽  
Area Under The Curve ◽  
Premature Ventricular Complex ◽  
Support Vector ◽  
Auc Value ◽  
Sudden Cardiac Death Risk

Most methods for sudden cardiac death (SCD) prediction require long-term (24 h) electrocardiogram recordings to measure heart rate variability (HRV) indices or premature ventricular complex indices (with the heartprint method). This work aimed to identify the best combinations of HRV and heartprint indices for predicting SCD based on short-term recordings (1000 heartbeats) through a support vector machine (SVM). Eleven HRV indices and five heartprint indices were measured in 135 pairs of recordings (one before an SCD episode and another without SCD as control). SVMs (defined with a radial basis function kernel with hyperparameter optimization) were trained with this dataset to identify the 13 best combinations of indices systematically. Through 10-fold cross-validation, the best area under the curve (AUC) value as a function of γ (gamma) and cost was identified. The predictive value of the identified combinations had AUCs between 0.80 and 0.86 and accuracies between 80 and 86%. Further SVM performance tests on a different dataset of 68 recordings (33 before SCD and 35 as control) showed AUC = 0.68 and accuracy = 67% for the best combination. The developed SVM may be useful for preventing imminent SCD through early warning based on electrocardiogram (ECG) or heart rate monitoring.

Novel spectral indexes of heart rate variability as predictors of sudden and non‐sudden cardiac death after an acute myocardial infarction

2007 ◽  
Vol 39 (1) ◽  
pp. 54-62 ◽  
Author(s):  
Antti M. Kiviniemi ◽  
Mikko P. Tulppo ◽  
Dan Wichterle ◽  
Arto J. Hautala ◽  
Suvi Tiinanen ◽  
...  
Keyword(s):  
Myocardial Infarction ◽  
Acute Myocardial Infarction ◽  
Heart Rate ◽  
Heart Rate Variability ◽  
Sudden Cardiac Death ◽  
Cardiac Death

scholarly journals Spectral and non-spectral analysis of heart rate variability in cases of sudden cardiac death.

1994 ◽  
Vol 14 (6) ◽  
pp. 594-599
Author(s):  
Hiroto Takeda ◽  
Kenji Owada ◽  
Hitoshi Suzuki ◽  
Eiichi Katohno ◽  
Masaaki Techigawara ◽  
...  
Keyword(s):  
Heart Rate ◽  
Heart Rate Variability ◽  
Spectral Analysis ◽  
Sudden Cardiac Death ◽  
Cardiac Death

scholarly journals Cardiac autonomic dysfunction in patients with systemic lupus, rheumatoid arthritis and sudden death risk

2010 ◽  
Vol 138 (1-2) ◽  
pp. 26-32 ◽  
Author(s):  
Branislav Milovanovic ◽  
Ljudmila Stojanovic ◽  
Nebojsa Milicevic ◽  
Karin Vasic ◽  
Bojko Bjelakovic ◽  
...  
Keyword(s):  
Rheumatoid Arthritis ◽  
Blood Pressure ◽  
Heart Rate ◽  
Sudden Cardiac Death ◽  
Autonomic Dysfunction ◽  
Cardiac Death ◽  
Healthy Subjects ◽  
Qtc Interval ◽  
Systemic Lupus ◽  
Risk Predictors

Introduction. The manifestations of autonomic nervous system (ANS) dysfunction in autoimmune diseases have been the subject of many studies. However, the published results pertaining to such research are controversial. Sudden cardiac death due to fatal arrhythmias is frequent in patients with systemic lupus erythematosus (SLE) and rheumatoid arthritis (RA). Objective. To analyze risk predictors of sudden cardiac death related to the degree of autonomic dysfunction. Methods. We performed cardiovascular ANS assessment in 90 patients in this case-controlled study, including 52 (6 male, 46 female) patients with SLE, 38 (6 male, 32 female) with RA and 41 (23 male, 17 female) healthy subjects. The methodology included a comprehensive ECG analysis (with Schiller software AT-10) of QTc interval, late potentials, short-term heart rate variability (HRV) and nonlinear HRV (Poincare plot) analysis; 24-hour Holter ECG monitoring with ECG QTc interval analysis, HRV analysis; 24-hour blood pressure monitoring with systolic and diastolic blood pressure variability; cardiovascular autonomic reflex tests (according to Ewing). Vagal dysfunction was established by performing 3 tests: Valsalva maneuver, deep breathing test and heart rate response to standing test. Dysfunction of the sympathetic nervous system was examined by applying 2 tests: blood pressure response to standing and handgrip test. Results. In all cardiovascular reflex tests, the frequencies of abnormal results were significantly higher among the patients than among the healthy subjects. Severe autonomic dysfunction was more common in RA. QTc interval was more prolonged in patients with SLE. Both diseases were associated with depressed heart rate variability compared to controls, the reduction being greater in RA patients. In the patients with SLE, autonomic dysfunction is predominantly with higher sympathetic activity while in RA vagal predominance is evident. Conclusion. SLE and RA are associated with severe autonomic dysfunction and the presence of significant risk predictors related to the onset of sudden cardiac death.

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