Relevância diagnóstica dos Gráficos de Recorrência na caracterização de Saúde, Doença ou Morte, em humanos

Abstract

Introduction:Recurrence plots have been increasingly used to evaluate complex dynamic systems of which the human body is an excellent model. The different quantitative and qualitative elements of recurrence plots in health, disease, and death were analysed. A time series of normal heartbeats were collected in healthy newborns, healthy children, healthy young adults, healthy middle-aged adults, elderly individuals living in nursing homes, individuals with advanced chronic kidney disease, and individuals with declared brain death or in a state of imminent death. Healthy young adults showed the best homeostasis (lower recurrence). Healthy newborns and individuals with declared brain death or in a state of imminent death had higher recurrence values. At the qualitative visual level, healthy young adults showed a more diffuse and uniform distribution, indicative of better homeostasis; for individuals with declared brain death or in a state of imminent death this was totally linear -the worst condition. A parabolic pattern was clearly evidenced. In conclusion, it was possible, using the correlation of only two variables (SDNN and TT), to easily differentiate states of health, disease, and death using recurrence plots. What is the purpose of this study?This study was conducted to determine a simple method of detecting homeostasis impairment based on heart rate variability and recurrence plots. What researchers did and found?The quantitative and qualitative evaluation of recurrence plots allowed the selection of two variables (standard deviation of the RR normal intervals (SDNN) and the average length of the vertical lines (trapping time)), that when correlated in a phase space, discriminate individuals with adequate autonomic control (healthy children and adults), from those with autonomic systems compromised by immaturity or progressive loss of function. What do these findings mean?These findings indicate the possibility of using a simple, low-cost, and non-invasive method to estimate the degree of autonomic impairment in humans and to define functional profiles.

The effects of cataract surgery on autonomic heart rate control: a prospective cross-sectional and analytical study

“…Previously, it was shown that local anesthesia during ophthalmic surgeries increased the HR and LF/HF ratio 17. Another study showed that alphacaine did not significantly influence HRV in subjects undergoing endodontic treatment due to irreversible pulpitis or pulp necrosis of the upper front teeth 38,39,40. Taken together, the aforementioned studies indicate that intraocular anesthesia is unable to increase the vagal influence on heart rhythm.…”

Influence of Different Types of Corticosteroids on Heart Rate Variability of Individuals with Duchenne Muscular Dystrophy—A Pilot Cross Sectional Study

“…The heart rate variability (HRV) is defined as the unpredictability between heart beats and can be separated into various indices of measurement, reflecting ANS influence on cardiac control [7,8]. Furthermore, the indices that reflect the parasympathetic branch of ANS are reduced with the onset of an inflammation process, such as muscle fibrosis in people with DMD, corroborating the position that the sympathetic branch is modulating even during rest periods, and it is related to cardiac events [9] and sudden death [10].…”

Study of autonomic modulation by non-linear analysis of heart rate variability in different age groups and analysis of health status, disease and risk of death in dogs

“…It was observed that dogs younger than one year old (G1) showed sympathetic predominance, with values greater than 0 V and less than 2 V, but this group of animals did not present significantly different values in relation to the dogs in groups 3 and 4; however, the animals that make up G3 (healthy dogs > 8 years) showed values greater than 2 V, showing parasympathetic predominance in these stages of life, but it was noticed that dogs in group 3 and 4, the values of 0 V increased progressively and the of 2 V have decreased. The immaturity of the autonomic nervous system shows a clear physiological decrease in HRV, but aging and the presence of diseases at different stages cause progressive deterioration of autonomic function, gradually reducing HRV (Godoy and Gregório 2019).…”