Clinical characterization of dysautonomia in long COVID-19 patients

Nicolas Barizien, Morgan Le Guen, Stéphanie Russel, Pauline Touche, Florent Huang, Alexandre Vallée, Nicolas Barizien, Morgan Le Guen, Stéphanie Russel, Pauline Touche, Florent Huang, Alexandre Vallée

Abstract

Increasing numbers of COVID-19 patients, continue to experience symptoms months after recovering from mild cases of COVID-19. Amongst these symptoms, several are related to neurological manifestations, including fatigue, anosmia, hypogeusia, headaches and hypoxia. However, the involvement of the autonomic nervous system, expressed by a dysautonomia, which can aggregate all these neurological symptoms has not been prominently reported. Here, we hypothesize that dysautonomia, could occur in secondary COVID-19 infection, also referred to as "long COVID" infection. 39 participants were included from December 2020 to January 2021 for assessment by the Department of physical medicine to enhance their physical capabilities: 12 participants with COVID-19 diagnosis and fatigue, 15 participants with COVID-19 diagnosis without fatigue and 12 control participants without COVID-19 diagnosis and without fatigue. Heart rate variability (HRV) during a change in position is commonly measured to diagnose autonomic dysregulation. In this cohort, to reflect HRV, parasympathetic/sympathetic balance was estimated using the NOL index, a multiparameter artificial intelligence-driven index calculated from extracted physiological signals by the PMD-200 pain monitoring system. Repeated-measures mixed-models testing group effect were performed to analyze NOL index changes over time between groups. A significant NOL index dissociation over time between long COVID-19 participants with fatigue and control participants was observed (p = 0.046). A trend towards significant NOL index dissociation over time was observed between long COVID-19 participants without fatigue and control participants (p = 0.109). No difference over time was observed between the two groups of long COVID-19 participants (p = 0.904). Long COVID-19 participants with fatigue may exhibit a dysautonomia characterized by dysregulation of the HRV, that is reflected by the NOL index measurements, compared to control participants. Dysautonomia may explain the persistent symptoms observed in long COVID-19 patients, such as fatigue and hypoxia. Trial registration: The study was approved by the Foch IRB: IRB00012437 (Approval Number: 20-12-02) on December 16, 2020.

Conflict of interest statement

The authors declare no competing interests.

Figures

Figure 1
Figure 1
NoL index changes over time according to the group of participants. 12 participants with COVID-19 and fatigue; 15 participants with COVID-19 without fatigue, 12 control participants. Step 1 five minutes lying down; Step 2 five minutes standing; Step 3 thirty seconds of flexion/extension and step 4: two minutes sitting down. Measures were performed each five seconds.

References

    1. Carfì A, Bernabei R, Landi Gemelli F, Against COVID-19 Post-Acute Care Study Group Persistent Symptoms in Patients After Acute COVID-19. JAMA. 2020;324:603–605. doi: 10.1001/jama.2020.12603.
    1. Goërtz, Y. M. J. et al. Persistent symptoms 3 months after a SARS-CoV-2 infection: the post-COVID-19 syndrome? ERJ Open Res.6, (2020).
    1. Montalvan V, Lee J, Bueso T, De Toledo J, Rivas K. Neurological manifestations of COVID-19 and other coronavirus infections: A systematic review. Clin. Neurol. Neurosurg. 2020;194:105921. doi: 10.1016/j.clineuro.2020.105921.
    1. González-Duarte A, Norcliffe-Kaufmann L. Is ‘happy hypoxia’ in COVID-19 a disorder of autonomic interoception? A hypothesis. Clin. Auton. Res. Off. J. Clin. Auton. Res. Soc. 2020;30:331–333. doi: 10.1007/s10286-020-00715-z.
    1. Eshak N, et al. Dysautonomia: an overlooked neurological manifestation in a critically ill COVID-19 patient. Am. J. Med. Sci. 2020;360:427–429. doi: 10.1016/j.amjms.2020.07.022.
    1. Dani M, et al. Autonomic dysfunction in ‘long COVID’: rationale, physiology and management strategies. Clin. Med. Lond. Engl. 2020 doi: 10.7861/clinmed.2020-0896.
    1. Lo YL. COVID-19, fatigue, and dysautonomia. J. Med. Virol. 2020 doi: 10.1002/jmv.26552.
    1. Kanjwal K, Jamal S, Kichloo A, Grubb BP. New-onset postural orthostatic tachycardia syndrome following coronavirus disease 2019 infection. J. Innov. Card. Rhythm Manag. 2020;11:4302–4304. doi: 10.19102/icrm.2020.111102.
    1. Shinu P, et al. SARS CoV-2 organotropism associated pathogenic relationship of gut-brain axis and illness. Front. Mol. Biosci. 2020;7:606779. doi: 10.3389/fmolb.2020.606779.
    1. Bourdillon N, Yazdani S, Schmitt L, Millet GP. Effects of COVID-19 lockdown on heart rate variability. PLoS ONE. 2020;15:e0242303. doi: 10.1371/journal.pone.0242303.
    1. Laborde S, Mosley E, Thayer JF. Heart rate variability and cardiac vagal tone in psychophysiological research—recommendations for experiment planning, data analysis, and data reporting. Front. Psychol. 2017;8:213. doi: 10.3389/fpsyg.2017.00213.
    1. Swai J, Hu Z, Zhao X, Rugambwa T, Ming G. Heart rate and heart rate variability comparison between postural orthostatic tachycardia syndrome versus healthy participants; a systematic review and meta-analysis. BMC Cardiovasc. Disord. 2019;19:320. doi: 10.1186/s12872-019-01298-y.
    1. Holzman JB, Bridgett DJ. Heart rate variability indices as bio-markers of top-down self-regulatory mechanisms: A meta-analytic review. Neurosci. Biobehav. Rev. 2017;74:233–255. doi: 10.1016/j.neubiorev.2016.12.032.
    1. Goldberger JJ. Sympathovagal balance: how should we measure it? Am. J. Physiol. 1999;276:H1273–1280.
    1. Ben-Israel N, Kliger M, Zuckerman G, Katz Y, Edry R. Monitoring the nociception level: a multi-parameter approach. J. Clin. Monit. Comput. 2013;27:659–668. doi: 10.1007/s10877-013-9487-9.
    1. Denisko D, Hoffman MM. Classification and interaction in random forests. Proc. Natl. Acad. Sci. U. S. A. 2018;115:1690–1692. doi: 10.1073/pnas.1800256115.
    1. Schmitt L, Regnard J, Millet GP. Monitoring fatigue status with HRV measures in elite athletes: an avenue beyond RMSSD? Front. Physiol. 2015;6:343. doi: 10.3389/fphys.2015.00343.
    1. Saboul D, Pialoux V, Hautier C. The impact of breathing on HRV measurements: implications for the longitudinal follow-up of athletes. Eur. J. Sport Sci. 2013;13:534–542. doi: 10.1080/17461391.2013.767947.
    1. Uijen AA, et al. Nijmegen Continuity Questionnaire: development and testing of a questionnaire that measures continuity of care. J. Clin. Epidemiol. 2011;64:1391–1399. doi: 10.1016/j.jclinepi.2011.03.006.
    1. Ashbaugh AR, Houle-Johnson S, Herbert C, El-Hage W, Brunet A. Psychometric Validation of the English and French Versions of the Posttraumatic Stress Disorder Checklist for DSM-5 (PCL-5) PLoS ONE. 2016;11:e0161645. doi: 10.1371/journal.pone.0161645.
    1. Langhammer B, Stanghelle JK. Senior fitness test; a useful tool to measure physical fitness in persons with acquired brain injury. Brain Inj. 2019;33:183–188. doi: 10.1080/02699052.2018.1540796.
    1. Jeanne M, Logier R, De Jonckheere J, Tavernier B. Heart rate variability during total intravenous anesthesia: effects of nociception and analgesia. Auton. Neurosci. Basic Clin. 2009;147:91–96. doi: 10.1016/j.autneu.2009.01.005.
    1. Jiang, W. et al. A Wearable Tele-Health System towards Monitoring COVID-19 and Chronic Diseases. IEEE Rev. Biomed. Eng.PP, (2021).
    1. Reyes-Lagos JJ, et al. A translational perspective of maternal immune activation by SARS-CoV-2 on the potential prenatal origin of neurodevelopmental disorders: the role of the cholinergic anti-inflammatory pathway. Front. Psychol. 2021;12:614451. doi: 10.3389/fpsyg.2021.614451.
    1. Desforges M, Le Coupanec A, Stodola JK, Meessen-Pinard M, Talbot PJ. Human coronaviruses: viral and cellular factors involved in neuroinvasiveness and neuropathogenesis. Virus Res. 2014;194:145–158. doi: 10.1016/j.virusres.2014.09.011.
    1. Alam SB, Willows S, Kulka M, Sandhu JK. Severe acute respiratory syndrome coronavirus 2 may be an underappreciated pathogen of the central nervous system. Eur. J. Neurol. 2020;27:2348–2360. doi: 10.1111/ene.14442.
    1. Gane SB, Kelly C, Hopkins C. Isolated sudden onset anosmia in COVID-19 infection. A novel syndrome? Rhinology. 2020;58:299–301. doi: 10.4193/Rhin20.114.
    1. Baig AM, Khaleeq A, Ali U, Syeda H. Evidence of the COVID-19 virus targeting the CNS: tissue distribution, host-virus interaction, and proposed neurotropic mechanisms. ACS Chem. Neurosci. 2020;11:995–998. doi: 10.1021/acschemneuro.0c00122.
    1. Archer SL, Sharp WW, Weir EK. Differentiating COVID-19 pneumonia from acute respiratory distress syndrome and high altitude pulmonary Edema: therapeutic implications. Circulation. 2020;142:101–104. doi: 10.1161/CIRCULATIONAHA.120.047915.
    1. Guedj E, et al. 18F-FDG brain PET hypometabolism in post-SARS-CoV-2 infection: substrate for persistent/delayed disorders? Eur. J. Nucl. Med. Mol. Imag. 2020 doi: 10.1007/s00259-020-04973-x.
    1. Guedj E, Verger A, Cammilleri S. PET imaging of COVID-19: the target and the number. Eur. J. Nucl. Med. Mol. Imaging. 2020;47:1636–1637. doi: 10.1007/s00259-020-04820-z.
    1. Li Y-C, Bai W-Z, Hashikawa T. The neuroinvasive potential of SARS-CoV2 may play a role in the respiratory failure of COVID-19 patients. J. Med. Virol. 2020;92:552–555. doi: 10.1002/jmv.25728.
    1. Yu H, Sun T, Feng J. Complications and Pathophysiology of COVID-19 in the Nervous System. Front. Neurol. 2020;11:573421. doi: 10.3389/fneur.2020.573421.
    1. Burki NK, Lee L-Y. Mechanisms of dyspnea. Chest. 2010;138:1196–1201. doi: 10.1378/chest.10-0534.
    1. Busana M, et al. Prevalence and outcome of silent hypoxemia in COVID-19. Minerva Anestesiol. 2021;87:325–333. doi: 10.23736/S0375-9393.21.15245-9.
    1. Tobin MJ, Laghi F, Jubran A. Why COVID-19 Silent Hypoxemia Is Baffling to Physicians. Am. J. Respir. Crit. Care Med. 2020;202:356–360. doi: 10.1164/rccm.202006-2157CP.
    1. Hasty F, et al. Heart rate variability as a possible predictive marker for acute inflammatory response in COVID-19 patients. Mil. Med. 2020 doi: 10.1093/milmed/usaa405.
    1. Mehta P, et al. COVID-19: consider cytokine storm syndromes and immunosuppression. Lancet Lond. Engl. 2020;395:1033–1034. doi: 10.1016/S0140-6736(20)30628-0.
    1. Roumier M, et al. Tocilizumab for severe worsening COVID-19 pneumonia: a propensity score analysis. J. Clin. Immunol. 2020 doi: 10.1007/s10875-020-00911-6.
    1. Wu J, Tang Y. Revisiting the immune balance theory: a neurological insight into the epidemic of COVID-19 and its alike. Front. Neurol. 2020;11:566680. doi: 10.3389/fneur.2020.566680.
    1. Williams DP, et al. Heart rate variability and inflammation: A meta-analysis of human studies. Brain. Behav. Immun. 2019;80:219–226. doi: 10.1016/j.bbi.2019.03.009.
    1. Madsen T, Christensen JH, Toft E, Schmidt EB. C-reactive protein is associated with heart rate variability. Ann. Noninvasive Electrocardiol. Off. J. Int. Soc. Holter Noninvasive Electrocardiol. Inc. 2007;12:216–222. doi: 10.1111/j.1542-474X.2007.00164.x.
    1. Bergeron C, et al. Impact of chronic treatment by β1-adrenergic antagonists on Nociceptive-Level (NOL) index variation after a standardized noxious stimulus under general anesthesia: a cohort study. J. Clin. Monit. Comput. 2021 doi: 10.1007/s10877-020-00626-4.

Source: PubMed

3
구독하다