Open AccessA Non-Invasive Tool to Quantify Autonomic Dysfunctuion: A Prognostic Indicator in Covid-19
Author(s) -
Avinash Hanbe Rajanna,
C. Jayanthi,
R. Swetha,
Mani R. Subramani,
Deepak Padmanabhan,
Ramesh Revanna,
N Vikas,
Vijay Vasudev,
Saket Hegde,
C. Mallikarjuna Rao
Publication year - 2021
Publication title -
international journal of innovative research in medical science
Language(s) - English
Resource type - Journals
ISSN - 2455-8737
DOI - 10.23958/ijirms/vol06-i02/1051
Subject(s) - heart rate variability , medicine , covid-19 , heart rate , autonomic nervous system , outbreak , cardiology , physical therapy , emergency medicine , blood pressure , pathology , disease , infectious disease (medical specialty)
Background: The Outbreak of SARS-CoV-2 has caused a major pandemic posing a threat to the millions of lives all over the world. The evidence shows that there is a relation between the autonomic nervous system and coronaviruses and likewise, levels of inflammatory markers - C-reactive protein (CRP) and autonomic dysfunction. Autonomic dysfunction is elicited using heart rate variability which in turn quantified using autonomous regulatory index (ARI). Hence this study was conducted to determine if ARI measured using patented NEUROCOR Precision HRV® Solution instrument could be used as a non-invasive measure of autonomic dysfunction among COVID-19 subjects. Materials & Methods: An exploratory study was conducted among randomly selected 22 COVID-19 male patients aged more than 18 years, admitted to COVID ward, Victoria Hospital, Bengaluru for 5 days, using ANS Recorder, a non-invasive heart rate variability recorder heart rhythm data were collected, one test per day continuously for 5 days and a patented NEUROCOR Precision HRV® Solution, an ANS Analysis Software instrument was used to record, analyze and interpret the heart rate variability in terms of ARI and CRP levels were measured. Data was analyzed using SPSS version 18.0. A P value of 0.05) with CRP (P>0.05). ARI index showed a significantly excellent predictive ability in detecting the higher health risk with the areas under the curves (AUC) being 0.93 with an optimal cut-off of 40.85 with maximum sensitivity and specificity of 100.0% and 93.0%. Conclusion: Autonomous Regulatory Index (ARI) index with significantly excellent predictive ability in detecting the higher health risk can be used as a non-invasive measure of autonomic dysfunction among COVID-19 subjects.