The association between heart rhythm complexity and the severity of abdominal aorta calcification in peritoneal dialysis patients
| Autor: | Men Tzung Lo, Yen-Hung Lin, Chih-Ting Lin, Chen Lin, Chung-Kang Peng, Jenq-Wen Huang, Cheng Hsuan Tsai, Li-Yu Daisy Liu, Yi Heng Ho |
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| Rok vydání: | 2018 |
| Předmět: |
Male
medicine.medical_specialty Multivariate analysis Entropy medicine.medical_treatment 030232 urology & nephrology lcsh:Medicine 030204 cardiovascular system & hematology Logistic regression Article Peritoneal dialysis 03 medical and health sciences 0302 clinical medicine Text mining Heart Rate medicine.artery Internal medicine medicine Humans Aorta Abdominal Abdominal aorta calcification Vascular Calcification lcsh:Science Aorta Multidisciplinary Receiver operating characteristic business.industry lcsh:R Middle Aged Heart Rhythm Logistic Models ROC Curve Area Under Curve Multivariate Analysis Cardiology Female lcsh:Q business Peritoneal Dialysis |
| Zdroj: | Scientific Reports, Vol 8, Iss 1, Pp 1-10 (2018) Scientific Reports |
| ISSN: | 2045-2322 |
| DOI: | 10.1038/s41598-018-33789-x |
| Popis: | Abdominal aorta calcification (AAC) has been associated with clinical outcomes in peritoneal dialysis (PD) patients. Heart rhythm complexity analysis has been shown to be a promising tool to predict outcomes in patients with cardiovascular disease. In this study, we aimed to analyze the association between heart rhythm complexity and AAC in PD patients. We prospectively analyzed 133 PD patients. Heart rhythm complexity including detrended fluctuation analysis and multiscale entropy was performed. In linear analysis, the patients in the higher AAC group (AAC ≥15%) had a significantly lower standard deviation of normal RR intervals, very low frequency, low frequency, high frequency and low/high frequency ratio. In non-linear analysis, DFAα1, slope 1–5, scale 5 and area 6–20 were significantly lower in the patients with higher AAC. Receiver operating characteristic curve analysis showed that DFAα1 had the greatest discriminatory power to differentiate these two groups. Multivariate logistic regression analysis showed that DFAα1 and HbA1c were significantly associated with higher AAC ratio. Adding DFAα1 significantly improved the discriminatory power of the linear parameters in both net reclassification improvement and integrated discrimination improvement models. In conclusion, DFAα1 is highly associated with AAC and a potential cardiovascular marker in PD patients. |
| Databáze: | OpenAIRE |
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