CONTRIBUTION OF RECURRENCE GRAPHS IN THE PROGNOSTIC ASSESSMENT OF INTENSIVE CARE UNIT PATIENTS

Authors

DOI:

https://doi.org/10.47820/jht.v2i3.42

Keywords:

Intensive care unit, Heart rate variability, Linear domain, Non-linear domain, Autonomic nervous system

Abstract

This study evaluated heart rate variability (HRV) in patients admitted to the intensive care unit with the aid of recurrence charts. This is a quantitative, qualitative, prospective and longitudinal study and the selected patients were divided into survivors group and death group. Time series of heart pulses were used with the Polar Advanced RS800CX frequency meter for 30 minutes. The analysis of the recurrence data used the following selected parameters: dimension = 2, delay = 2, radius = 70, line = 2 and as color scheme the Volcano. The classic variables of the recurrence plots were selected: ApEn, SamPEn, Alpha 1, % Recurrence, Det%, Laminarity, TT and LDmax. The continuous quantitative variables with Gaussian distribution were treated with the aid of Fischer's exact test and unpaired Student t test, and p values < 0.05 were considered significant. The time series data of heart pulses were filtered and later analyzed with the software Kubios HRV Analysis.and the software Visual Recurrence Analysis. A total of 92 patients were considered, with the group of deaths consisting of 32 patients and the group of survivors by 60. indicating greater linearity (greater impairment of homeostasis). The analysis of HRV with the aid of recurrence charts allowed the differentiation of health states, and may act as a marker of severity and death.

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Author Biographies

Ana Paula do Prado Cardoso de Souza

Nurse, Master in Nursing and Specialist in Cardiology and Hemodynamics, Professor of the Medicine Course at Universidade Brasil, Fernandópolis/SP.

Moacir Fernandes de Godoy

Cardiologist, Lecturer in Cardiology at the Department of Cardiology and Cardiovascular Surgery at the Faculty of Medicine of São José do Rio Preto, São José do Rio Preto/SP.

Leda Maria Ferraz da Silva

Nutritionist, PhD in Medical Sciences from the Fluminense Federal University, Professor of the Medicine Course at the University of Brazil, Fernandópolis/SP.

References

BIANCHI, Filippo Maria; LIVI, Lorenzo; ALIPPI, César. Investigating Echo-State Networks Dynamics by Means of Recurrence Analysis, IEEE Trans Neural Netw Learn Syst, v. 29, n. 2, p. 427-439, 2016. DOI: https://doi.org/10.1109/TNNLS.2016.2630802

BORSON, Lourena Ap. Machado Godoi et al. Ações para o bem-estar e segurança do cliente. Revista Saúde em Foco, v. 10, p. 1034, 2021.

BRADLEY, Elizabeth; IWANSKI, J. Recurrence plots of experimental data: To embed or not to embed. Chaos, v. 8, n. 4, p. 861-871, 1998. DOI: https://doi.org/10.1063/1.166372

CIAMPONE, Juliana Trench et al. Necessidade de cuidados de enfermagem e intervenções terapêuticas em UTI: estudo comparativo entre pacientes idosos e não idosos. Acta Paulista de Enfermagem, v. 19, p. 28-35, 2006. DOI: https://doi.org/10.1590/S0103-21002006000100005

ECKMANN, Jean-Pierre et al. Gráficos de recorrência de sistemas dinâmicos. World Scientific Series on Nonlinear Science Series A, v. 16, p. 441-446, 1995. DOI: https://doi.org/10.1142/9789812833709_0030

GATTI, Márcio et al. Variabilidade da frequência cardíaca e seu valor imediato em nefropatas afetados por hemodiálise. 2015. Disponível em: http://bdtd.famerp.br/bitstream/tede/402/2/marciogatti_dissert.pdf.

GODOY, Moacir Fernandes. Teoria do Caos Aplicada à Medicina. 2003. Tese de Doutorado. Tese de Livre Docência em Cardiologia, FAMERP, São José do Rio Preto.

GODOY, Moacir Fernandes de et al. Gráficos de recorrência e de poincaré na análise da quantidade de internações por diferentes grupos nosológicos, ocorridas ao longo de uma década, em um hospital de ensino. 2011. Disponível em: http://201.55.48.176/handle/tede/101.

GODOY, Moacir Fernandes de; GREGÓRIO, Michele Lima. Relevância Diagnóstica dos Gráficos de Recorrência para a Caracterização da Saúde, Doença ou Morte em Humanos. Journal of Human Growth and Development, v. 29, n. 1, p. 39-47, 2019. DOI: https://doi.org/10.7322/jhgd.157746

HUIKURI, Heikki V.; STEIN, Phyllis K. Heart rate variability in risk stratification of cardiac patients. Prog Cardiovasc Dis, v. 56, n. 2, pág. 153-159, 2013. DOI: https://doi.org/10.1016/j.pcad.2013.07.003

MAGALHÃES, Ana Paula Barbosa et al. Vivências do CTI: visão da equipe multiprofissional frente ao paciente em cuidados paliativos. Enfermagem em Foco, v. 11, n. 4, 2020. DOI: https://doi.org/10.21675/2357-707X.2020.v11.n4.2990

MARWAN, Norbert e cols. Recurrence-plot-based measures of complexity and their application to heart-rate-variability data. Phys Rev E Stat Nonlin Soft Matter Phys, v. 66, n. 2, p. 026702, 2002. DOI: https://doi.org/10.1103/PhysRevE.66.026702

MARWAN, Norberto. Encounters with neighbours, current developments of concepts based on recurrence plots and their applications. Doctoral dissertation, Universitãt Potsdam, 2003.

MARWAN, Norbert; KURTHS, Jürgen. Cross recurrence plots and their applications. Mathematical physics research at the cutting edge, p. 101-139, 2004.

MARWAN, Norberto; KURTHS, Jurgen; SAPARIN, Pedro Generalised recurrence plot analysis for spatial data. Phys Lett A, v. 360, n. 4-5, p. 545-551, 2007. DOI: https://doi.org/10.1016/j.physleta.2006.08.058

MOHEBBI, Maryam; GHASSEMIAN, Hassan. Prediction of paroxysmal atrial fibrillation usando recurrence plot-based features of the RR-interval signal. Physiol Meas, v. 32, n. 8, p. 1147, 2011. DOI: https://doi.org/10.1088/0967-3334/32/8/010

NAYAK, Suraj K. et al. A review on the nonlinear dynamical system analysis of electrocardiogram signal. J Healthcare Engineering. Journal of Healthcare Engineering, v. 2018, 2018. DOI: https://doi.org/10.1155/2018/6920420

NOGUEIRA, Lilia de Souza et al. Características clínicas e gravidade de pacientes internados em UTIs públicas e privadas. Texto & Contexto-Enfermagem, v. 21, p. 59-67, 2012. DOI: https://doi.org/10.1590/S0104-07072012000100007

SILVA, Alexsandra Martins et al. Diagnósticos de Enfermagem na Unidade de Terapia Intensiva: Foco no problema e nos riscos. Enfermagem em Foco, v. 12, n. 1, 2021. DOI: https://doi.org/10.21675/2357-707X.2021.v12.n1.3506

SOUZA, Daniel Ribeiro Soares de; TOSTES, Priscilla Passarelli; SILVA, Alexandre Sousa. Morte encefálica: conhecimento e opinião dos médicos da Unidade de Terapia Intensiva. Revista Brasileira de Educação Médica, v. 43, p. 115-122, 2019. DOI: https://doi.org/10.1590/1981-52712015v43n3rb20180122

TAKAKURA, Isabela Thomaz et al. Avaliação do sistema nervoso autônomo na evolução pós transplante cardíaco, com auxílio da variabilidade da frequência cardíaca e gráficos de recorrência. [Tese Doutorado]. São José do Rio Preto: Faculdade de Medicina de São José do Rio Preto; 2013. http://bdtd.famerp.br/handle/tede/26.

VANDERLEI, Luiz Carlos Marques et al. Noções básicas de variabilidade da frequência cardíaca e sua aplicabilidade clínica. Brazilian Journal of Cardiovascular Surgery, v. 24, p. 205-217, 2009. DOI: https://doi.org/10.1590/S0102-76382009000200018

Published

07/15/2023

How to Cite

do Prado Cardoso de Souza, A. P., Fernandes de Godoy, M., & Maria Ferraz da Silva, L. (2023). CONTRIBUTION OF RECURRENCE GRAPHS IN THE PROGNOSTIC ASSESSMENT OF INTENSIVE CARE UNIT PATIENTS. Journal Health and Technology - JHT, 2(3), e2342. https://doi.org/10.47820/jht.v2i3.42

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