Belozersky Institute of Physico-Chemical Biology, Lomonosov Moscow State University, Moscow, 119991, Russia.
Faculty of Biology, Lomonosov Moscow State University, Moscow, 119234, Russia.
Biochemistry (Mosc). 2022 Mar;87(3):294-299. doi: 10.1134/S0006297922030087.
Analysis of demographic data indicates uneven distribution of mortality within a year, month, and even week time period. This is of great practical importance for the operation of medical institutions, including intensive care units, and makes it possible to calculate economic and labor requirements of medical institutions. All the above is especially relevant during the era of the COVID-19 pandemic. Malygin showed the presence of one to two fluctuations per week in the mortality of male patients with type 2 diabetes. The height of the peaks of such fluctuations is determined, as expected, by the regular parameter indicating their position on the axis of lifespan and random parameter reflecting adverse effects of external environmental factors on the body, as well as the extent of the periodically occurring sharp decrease in the nonspecific resistance. This article discusses results of recent research in the field of small (semi-weekly, weekly, monthly, and seasonal) fluctuations of mortality. Based on a large array of accumulated data, it can be concluded that the decrease in seasonal variability of mortality accompanies an increase in the life expectancy. Studying characteristics of mortality fluctuations makes it possible to move from investigating the impact of biorhythms (Master Clock) on the development of acute and chronic phenoptotic processes directly to studying the patterns of mortality rhythms themselves (rhythms of phenoptosis).
分析人口统计学数据表明,死亡率在一年内、一个月内甚至一周内的分布不均匀。这对医疗机构的运作(包括重症监护病房)具有重要的实际意义,并使计算医疗机构的经济和劳动力需求成为可能。在 COVID-19 大流行期间,所有这些都特别相关。Malygin 显示男性 2 型糖尿病患者的死亡率每周有一到两次波动。这种波动的峰值高度取决于常规参数,该参数表示其在寿命轴上的位置,以及随机参数,该参数反映了外部环境因素对身体的不利影响,以及非特异性抵抗力周期性急剧下降的程度。本文讨论了死亡率小波动(半周、周、月和季节性)领域的最新研究结果。基于大量积累的数据,可以得出结论,死亡率季节性变化的减少伴随着预期寿命的增加。研究死亡率波动的特征可以使我们从研究生物节律(主钟)对急性和慢性濒死过程发展的影响直接转向研究濒死节律本身的模式(濒死节律)。