Power-Law Relationship of Heart Rate Variability as a Predictor of Mortality in the Elderly
Autor: | P. Puukka, L. B. Sourander, K. E. J. Airaksinen, I. J. Raiha, T. H. Makikallio, Heikki V. Huikuri, Tapio Seppänen |
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Rok vydání: | 1998 |
Předmět: |
Male
medicine.medical_specialty Heart disease Population Sudden death Death Sudden Heart Rate Risk Factors Cause of Death Physiology (medical) Internal medicine Heart rate medicine Humans Heart rate variability Mortality education Aged Cause of death education.field_of_study medicine.diagnostic_test business.industry medicine.disease Surgery Multivariate Analysis Ambulatory Cardiology Female Cardiology and Cardiovascular Medicine business Electrocardiography |
Zdroj: | Circulation. 97:2031-2036 |
ISSN: | 1524-4539 0009-7322 |
DOI: | 10.1161/01.cir.97.20.2031 |
Popis: | Background —The prognostic role of heart rate (HR) variability analyzed from 24-hour ECG recordings in the general population is not well known. We studied whether analysis of 24-hour HR behavior is able to predict mortality in a random population of elderly subjects. Methods and Results —A random sample of 347 subjects of ≥65 years of age (mean, 73±6 years) underwent a comprehensive clinical evaluation, laboratory tests, and 24-hour ECG recordings and were subsequently followed up for 10 years. Various spectral and nonspectral measures of HR variability were analyzed from the baseline 24-hour ECG recordings. Risk factors for all-cause, cardiac, cerebrovascular, cancer, and other causes of death were assessed. By the end of 10-year follow-up, 184 subjects (53%) had died and 163 (47%) were still alive. Seventy-four subjects (21%) had died of cardiac disease, 37 of cancer (11%), 25 of cerebrovascular disease (7%), and 48 (14%) of various other causes. Among all analyzed variables, a steep slope of the power-law regression line of HR variability (P P P =.0002). The slope of HR variability predicted both cardiac (adjusted relative risk, 2.05; P =.0002) and cerebrovascular death (adjusted relative risk, 2.84; P =.0001) but not cancer or other causes of death. Conclusions —Power-law relationship of 24-hour HR variability is a more powerful predictor of death than the traditional risk markers in elderly subjects. Altered long-term behavior of HR implies an increased risk of vascular causes of death rather than being a marker of any disease or frailty leading to death. |
Databáze: | OpenAIRE |
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