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Tang SY, Ma HP, Hung CS, Kuo PH, Lin C, Lo MT, Hsu HH, Chiu YW, Wu CK, Tsai CH, Lin YT, Peng CK, Lin YH. The Value of Heart Rhythm Complexity in Identifying High-Risk Pulmonary Hypertension Patients. ENTROPY 2021; 23:e23060753. [PMID: 34203737 PMCID: PMC8232109 DOI: 10.3390/e23060753] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 05/26/2021] [Revised: 06/09/2021] [Accepted: 06/12/2021] [Indexed: 11/17/2022]
Abstract
Pulmonary hypertension (PH) is a fatal disease—even with state-of-the-art medical treatment. Non-invasive clinical tools for risk stratification are still lacking. The aim of this study was to investigate the clinical utility of heart rhythm complexity in risk stratification for PH patients. We prospectively enrolled 54 PH patients, including 20 high-risk patients (group A; defined as WHO functional class IV or class III with severely compromised hemodynamics), and 34 low-risk patients (group B). Both linear and non-linear heart rate variability (HRV) variables, including detrended fluctuation analysis (DFA) and multiscale entropy (MSE), were analyzed. In linear and non-linear HRV analysis, low frequency and high frequency ratio, DFAα1, MSE slope 5, scale 5, and area 6–20 were significantly lower in group A. Among all HRV variables, MSE scale 5 (AUC: 0.758) had the best predictive power to discriminate the two groups. In multivariable analysis, MSE scale 5 (p = 0.010) was the only significantly predictor of severe PH in all HRV variables. In conclusion, the patients with severe PH had worse heart rhythm complexity. MSE parameters, especially scale 5, can help to identify high-risk PH patients.
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Affiliation(s)
- Shu-Yu Tang
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan; (S.-Y.T.); (C.-S.H.); (P.-H.K.); (C.-K.W.)
- Department of Internal Medicine, National Taiwan University Hospital Yun-Lin Branch, Yun-Lin 640, Taiwan
| | - Hsi-Pin Ma
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu 300044, Taiwan;
| | - Chi-Sheng Hung
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan; (S.-Y.T.); (C.-S.H.); (P.-H.K.); (C.-K.W.)
| | - Ping-Hung Kuo
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan; (S.-Y.T.); (C.-S.H.); (P.-H.K.); (C.-K.W.)
| | - Chen Lin
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City 330, Taiwan; (C.L.); (M.-T.L.)
| | - Men-Tzung Lo
- Department of Biomedical Sciences and Engineering, National Central University, Taoyuan City 330, Taiwan; (C.L.); (M.-T.L.)
| | - Hsao-Hsun Hsu
- Department of Surgery, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan;
| | - Yu-Wei Chiu
- Department of Computer Science and Engineering, Yuan Ze University, Taoyuan City 330, Taiwan;
- Cardiology Division of Cardiovascular Medical Center, Far Eastern Memorial Hospital, New Taipei City 220, Taiwan
| | - Cho-Kai Wu
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan; (S.-Y.T.); (C.-S.H.); (P.-H.K.); (C.-K.W.)
| | - Cheng-Hsuan Tsai
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan; (S.-Y.T.); (C.-S.H.); (P.-H.K.); (C.-K.W.)
- Department of Internal Medicine, National Taiwan University Hospital Jin-Shan Branch, New Taipei City 220, Taiwan
- Correspondence: (C.-H.T.); (Y.-T.L.); (Y.-H.L.)
| | - Yen-Tin Lin
- Department of Internal Medicine, Taoyuan General Hospital, Taoyuan City 330, Taiwan
- Correspondence: (C.-H.T.); (Y.-T.L.); (Y.-H.L.)
| | - Chung-Kang Peng
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA 02215, USA;
| | - Yen-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei 100, Taiwan; (S.-Y.T.); (C.-S.H.); (P.-H.K.); (C.-K.W.)
- Correspondence: (C.-H.T.); (Y.-T.L.); (Y.-H.L.)
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Tsai CH, Ma HP, Lin YT, Hung CS, Huang SH, Chuang BL, Lin C, Lo MT, Peng CK, Lin YH. Usefulness of heart rhythm complexity in heart failure detection and diagnosis. Sci Rep 2020; 10:14916. [PMID: 32913306 PMCID: PMC7483411 DOI: 10.1038/s41598-020-71909-8] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2020] [Accepted: 07/03/2020] [Indexed: 02/06/2023] Open
Abstract
Heart failure (HF) is a major cardiovascular disease worldwide, and the early detection and diagnosis remain challenges. Recently, heart rhythm complexity analysis, derived from non-linear heart rate variability (HRV) analysis, has been proposed as a non-invasive method to detect diseases and predict outcomes. In this study, we aimed to investigate the diagnostic value of heart rhythm complexity in HF patients. We prospectively analyzed 55 patients with symptomatic HF with impaired left ventricular ejection fraction and 97 participants without HF symptoms and normal LVEF as controls. Traditional linear HRV parameters and heart rhythm complexity including detrended fluctuation analysis (DFA) and multiscale entropy (MSE) were analyzed. The traditional linear HRV, MSE parameters and DFAα1 were significantly lower in HF patients compared with controls. In regression analysis, DFAα1 and MSE scale 5 remained significant predictors after adjusting for multiple clinical variables. Among all HRV parameters, MSE scale 5 had the greatest power to differentiate the HF patients from the controls in receiver operating characteristic curve analysis (area under the curve: 0.844). In conclusion, heart rhythm complexity appears to be a promising tool for the detection and diagnosis of HF.
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Affiliation(s)
- Cheng-Hsuan Tsai
- Department of Internal Medicine, National Taiwan University Hospital JinShan Branch, New Taipei, Taiwan
| | - Hsi-Pin Ma
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
| | - Yen-Tin Lin
- Department of Internal Medicine, Taoyuan General Hospital, Taoyuan, Taiwan
| | - Chi-Sheng Hung
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Road, Taipei, Taiwan
| | - Shan-Hsuan Huang
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
| | - Bei-Lin Chuang
- Department of Electrical Engineering, National Tsing Hua University, Hsinchu, Taiwan
| | - Chen Lin
- Department of Biomedical Sciences and Engineering, National Central University, Chungli, Taiwan
| | - Men-Tzung Lo
- Department of Biomedical Sciences and Engineering, National Central University, Chungli, Taiwan
| | - Chung-Kang Peng
- Division of Interdisciplinary Medicine and Biotechnology, Beth Israel Deaconess Medical Center/Harvard Medical School, Boston, MA, USA
| | - Yen-Hung Lin
- Department of Internal Medicine, National Taiwan University Hospital and National Taiwan University College of Medicine, 7 Chung-Shan South Road, Taipei, Taiwan.
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Non-linear analysis of heart rate variability for evaluating the acute effects of caffeinated beverages in young adults. Cardiol Young 2020; 30:1018-1023. [PMID: 32513326 DOI: 10.1017/s1047951120001481] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Caffeinated beverages are the most consumed substances in the world. High rate of uptake of these beverages leads to various cardiovascular disorders ranging from palpitations to coronary failure. The objective of the study is to ascertain how the complexity parameters of heart rate variability are affected by acute consumption of caffeinated beverages in young adults.Electrocardiogram measurements were performed before consuming drinks. After consuming the drinks, measurements were done again at 30 minutes and 60 minutes. Heart rate variability signals were acquired from electrocardiogram signals. Also, the signals were reconstructed in the phase space and largest Lyapunov exponent, correlation dimension, approximate entropy, and detrended fluctuation analysis values were calculated.Heart rate increased for energy drink and cola groups but not in coffee group. Non-linear parameter values of energy drink, coffee, and cola group are increased within 60 minutes after drink consumption. This change is statistically significant just for energy drink group.Energy drink consumption increases the complexity of the cardiovascular system in young adults significantly. Coffee and cola consumption have no significant effect on the non-linear parameters of heart rate variability.
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Tsai CH, Huang JW, Lin C, Ma HP, Lo MT, Liu LYD, Lin LY, Lin CT, Hung CS, Peng CK, Lin YH. Heart Rhythm Complexity Predicts Long-Term Cardiovascular Outcomes in Peritoneal Dialysis Patients: A Prospective Cohort Study. J Am Heart Assoc 2020; 9:e013036. [PMID: 31910780 PMCID: PMC7033842 DOI: 10.1161/jaha.119.013036] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
Background Cardiovascular disease is the leading cause of morbidity and mortality in patients with end-stage renal disease. Heart rhythm complexity analysis has been shown to be useful in predicting outcomes in various diseases; however, data on patients with end-stage renal disease are limited. In this study, we analyzed the association between heart rhythm complexity and long-term cardiovascular outcomes in patients with end-stage renal disease receiving peritoneal dialysis. Methods and Results We prospectively enrolled 133 patients receiving peritoneal dialysis and analyzed linear heart rate variability and heart rhythm complexity variables including detrended fluctuation analysis (DFA) and multiscale entropy. The primary outcome was cardiovascular mortality, and the secondary outcome was the occurrence of major adverse cardiovascular events. After a median of 6.37 years of follow-up, 21 patients (22%) died from cardiovascular causes. These patients had a significantly lower low-frequency band of heart rate variability, low/high-frequency band ratio, total power band of heart rate variability, heart rate turbulence slope, deceleration capacity, short-term DFA (DFAα1); and multiscale entropy slopes 1 to 5, scale 5, area 1 to 5, and area 6 to 20 compared with the patients who did not die from cardiovascular causes. Time-dependent receiver operating characteristic curve analysis showed that DFAα1 had the greatest discriminatory power for cardiovascular mortality (area under the curve: 0.763) and major adverse cardiovascular events (area under the curve: 0.730). The best cutoff value for DFAα1 was 0.98 to predict both cardiovascular mortality and major adverse cardiovascular events. Multivariate Cox regression analysis showed that DFAα1 (hazard ratio: 0.076; 95% CI, 0.016-0.366; P=0.001) and area 1 to 5 (hazard ratio: 0.645; 95% CI, 0.447-0.930; P=0.019) were significantly associated with cardiovascular mortality. Conclusions Heart rhythm complexity appears to be a promising noninvasive tool to predict long-term cardiovascular outcomes in patients receiving peritoneal dialysis.
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Affiliation(s)
- Cheng-Hsuan Tsai
- Department of Internal Medicine National Taiwan University Hospital JinShan Branch New Taipei Taiwan
| | - Jenq-Wen Huang
- Department of Internal Medicine National Taiwan University Hospital and National Taiwan University College of Medicine Taipei Taiwan
| | - Chen Lin
- Department of Biomedical Sciences and Engineering National Central University Taoyuan City Taiwan
| | - Hsi-Pin Ma
- Department of Electrical Engineering National Tsing Hua University Hsinchu Taiwan
| | - Men-Tzung Lo
- Department of Biomedical Sciences and Engineering National Central University Taoyuan City Taiwan
| | - Li-Yu Daisy Liu
- Biometry Division Department of Agronomy National Taiwan University Taipei Taiwan
| | - Lian-Yu Lin
- Department of Internal Medicine National Taiwan University Hospital and National Taiwan University College of Medicine Taipei Taiwan
| | - Chih-Ting Lin
- Graduate Institute of Biomedical Electronics and Bioinformatics National Taiwan University Taipei Taiwan
| | - Chi-Sheng Hung
- Department of Internal Medicine National Taiwan University Hospital and National Taiwan University College of Medicine Taipei Taiwan
| | - Chung-Kang Peng
- Division of Interdisciplinary Medicine and Biotechnology Beth Israel Deaconess Medical Center/Harvard Medical School Boston MA
| | - Yen-Hung Lin
- Department of Internal Medicine National Taiwan University Hospital and National Taiwan University College of Medicine Taipei Taiwan
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Heart Rhythm Complexity Impairment in Patients with Pulmonary Hypertension. Sci Rep 2019; 9:10710. [PMID: 31341216 PMCID: PMC6656770 DOI: 10.1038/s41598-019-47144-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2019] [Accepted: 07/09/2019] [Indexed: 12/17/2022] Open
Abstract
Pulmonary hypertension is a fatal disease, however reliable prognostic tools are lacking. Heart rhythm complexity analysis is derived from non-linear heart rate variability (HRV) analysis and has shown excellent performance in predicting clinical outcomes in several cardiovascular diseases. However, heart rhythm complexity has not previously been studied in pulmonary hypertension patients. We prospectively analyzed 57 patients with pulmonary hypertension (31 with pulmonary arterial hypertension and 26 with chronic thromboembolic pulmonary hypertension) and compared them to 57 age- and sex-matched control subjects. Heart rhythm complexity including detrended fluctuation analysis (DFA) and multiscale entropy (MSE) and linear HRV parameters were analyzed. The patients with pulmonary hypertension had significantly lower mean RR, SDRR, pNN20, VLF, LF, LF/HF ratio, DFAα1, MSE slope 5, scale 5, area 1-5 and area 6-20 compared to the controls. Receiver operating characteristic curve analysis showed that heart rhythm complexity parameters were better than traditional HRV parameters to predict pulmonary hypertension. Among all parameters, scale 5 had the greatest power to differentiate the pulmonary hypertension patients from controls (AUC: 0.845, P < 0.001). Furthermore, adding heart rhythm complexity parameters significantly improved the discriminatory power of the traditional HRV parameters in both net reclassification improvement and integrated discrimination improvement models. In conclusion, the patients with pulmonary hypertension had worse heart rhythm complexity. MSE parameters, especially scale 5, had excellent single discriminatory power to predict whether or not patients had pulmonary hypertension.
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