心律失常、心肌梗死和其他不良血管事件的一些昼夜节律模式的差异。

Chronobiologia Pub Date : 1994-01-01
G Cornélissen, K Tamura, B Tarquini, G Germanò, C Fersini, C Rostagno, R M Zaslavskaya, O Carandente, F Carandente, F Halberg
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引用次数: 0

摘要

背景:从时间生物学角度重新评估未发表的关于不良血管事件发生率的数据和一些已发表的研究结果。方法与结果:余弦法表明:1。阵发性室上性心动过速(PST)、广义室性心律失常(VAr)和房颤(AF)发病率的昼夜变化;2. 与AF相比,PST和VAr的昼夜节律时间有统计学意义;和3。这些节律的时间与心肌梗死(MI)发生率的时间有进一步的差异。超过24小时的心电图记录显示了给定患者昼夜节律特征的日常变化程度,并表明甚至更低频率成分的存在,特别是在一周的范围内,这可能是每周和半周发病率和死亡率模式的基础。结论:除了心脏周期约1hz的变化外,可预测的沿着一天和一周的变化可能构成特定疾病病因的线索,并为治疗时机提供依据。对低频成分不利变化的评估可能提供足够长的提前时间,以促使预防性而非治疗性干预的建立。
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Differences in some circadian patterns of cardiac arrhythmia, myocardial infarctions and other adverse vascular events.

Background: Results from unpublished data on the incidence of adverse vascular events and from several published studies are reevaluated chronobiologically.

Methods and results: Cosinor methods indicate 1. a circadian variation in the incidence of paroxysmal supraventricular tachycardia (PST), of broadly classified ventricular arrhythmia (VAr), and of atrial fibrillation (AF); 2. a statistically significant difference in the timing of the circadian rhythm of PST and VAr versus that of AF; and 3. a further difference in the timing of these rhythms from that in the incidence of myocardial infarctions (MI). Electrocardiographic records for spans longer than 24h show the extent of day-to-day variability in circadian characteristics of the given patient and indicate the presence of even lower-frequency components, notably along the scale of a week, that may underlie weekly and half-weekly patterns of morbidity and mortality.

Conclusion: Beyond alterations in the about 1-Hz periodicity of the heart, predictable changes along the scales of the day and the week may constitute a clue to the etiopathology of a given condition and provide a basis for treatment timing. The assessment of unfavorable changes in the lower frequency components may provide a lead time long enough to prompt the institution of preventive, rather than curative, intervention.

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Cardiovascular disease risk monitoring in the light of chronobioethics. Dora K. (Holly) Hayes. Agostino Carandente. Models for chronobiologic risk and prepathology detection. A tribute to Bill W. Kennedy. Cross-spectral coherence between geomagnetic disturbance and human cardiovascular variables at non-societal frequencies.
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