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Benghanem S, Sharshar T, Gavaret M, Dumas F, Diehl JL, Brechot N, Picard F, Candia-Rivera D, Le MP, Pène F, Cariou A, Hermann B. Heart rate variability for neuro-prognostication after CA: Insight from the Parisian registry. Resuscitation 2024:110294. [PMID: 38925291 DOI: 10.1016/j.resuscitation.2024.110294] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2024] [Revised: 05/31/2024] [Accepted: 06/19/2024] [Indexed: 06/28/2024]
Abstract
BACKGROUND Hypoxic ischemic brain injury (HIBI) induced by cardiac arrest (CA) seems to predominate in cortical areas and to a lesser extent in the brainstem. These regions play key roles in modulating the activity of the autonomic nervous system (ANS), that can be assessed through analyses of heart rate variability (HRV). The objective was to evaluate the prognostic value of various HRV parameters to predict neurological outcome after CA. METHODS Retrospective monocentric study assessing the prognostic value of HRV markers and their association with HIBI severity. Patients admitted for CA who underwent EEG for persistent coma after CA were included. HRV markers were computed from 5 min signal of the ECG lead of the EEG recording. HRV indices were calculated in the time-, frequency-, and non-linear domains. Frequency-domain analyses differentiated very low frequency (VLF 0.003-0.04 Hz), low frequency (LF 0.04-0.15 Hz), high frequency (HF 0.15-0.4 Hz), and LF/HF ratio. HRV indices were compared to other prognostic markers: pupillary light reflex, EEG, N20 on somatosensory evoked potentials (SSEP) and biomarkers (neuron specific enolase-NSE). Neurological outcome at 3 months was defined as unfavorable in case of best CPC 3-4-5. RESULTS Between 2007 and 2021, 199 patients were included. Patients were predominantly male (64%), with a median age of 60 [48.9-71.7] years. 76% were out-of-hospital CA, and 30% had an initial shockable rhythm. Neurological outcome was unfavorable in 73%. Compared to poor outcome, patients with a good outcome had higher VLF (0.21 vs 0.09 ms2/Hz, p < 0.01), LF (0.07 vs 0.04 ms2/Hz, p = 0.003), and higher LF/HF ratio (2.01 vs 1.01, p = 0.008). Several non-linear domain indices were also higher in the good outcome group, such as SD2 (15.1 vs 10.2, p = 0.016) and DFA α1 (1.03 vs 0.78, p = 0.002). These indices also differed depending on the severity of EEG pattern and abolition of pupillary light reflex. These time-frequency and non-linear domains HRV parameters were predictive of poor neurological outcome, with high specificity despite a low sensitivity. CONCLUSION In comatose patients after CA, some HRV markers appear to be associated with unfavorable outcome, EEG severity and PLR abolition, although the sensitivity of these HRV markers remains limited.
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Affiliation(s)
- Sarah Benghanem
- Medical Intensive Care Unit, APHP.Paris Centre, Cochin Hospital, Paris, France; University Paris Cité, Medical School, Paris F-75006, France; INSERM 1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM UMR 1266, Paris, France.
| | - Tarek Sharshar
- University Paris Cité, Medical School, Paris F-75006, France; INSERM 1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM UMR 1266, Paris, France; Neuro-ICU, GHU Paris Sainte Anne, Paris, France
| | - Martine Gavaret
- University Paris Cité, Medical School, Paris F-75006, France; INSERM 1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM UMR 1266, Paris, France; Neurophysiology and Epileptology Department, GHU Paris Sainte Anne, Paris, France
| | - Florence Dumas
- University Paris Cité, Medical School, Paris F-75006, France; Emergency Department, APHP.Paris Centre, Cochin Hospital, Paris, France
| | - Jean-Luc Diehl
- University Paris Cité, Medical School, Paris F-75006, France; Medical ICU, AP-HP, Hôpital Européen Georges Pompidou, 20 rue Leblanc, Paris F-75015, France
| | - Nicolas Brechot
- University Paris Cité, Medical School, Paris F-75006, France; Medical ICU, AP-HP, Hôpital Européen Georges Pompidou, 20 rue Leblanc, Paris F-75015, France
| | - Fabien Picard
- University Paris Cité, Medical School, Paris F-75006, France; Cardiology Department, APHP.Paris Centre, Cochin Hospital, Paris, France
| | - Diego Candia-Rivera
- Institut du Cerveau et de la Moelle épinière - ICM, INSERM U1127, CNRS UMR 7225, F-75013 Paris, France
| | - Minh-Pierre Le
- Medical Intensive Care Unit, APHP.Paris Centre, Cochin Hospital, Paris, France
| | - Frederic Pène
- Medical Intensive Care Unit, APHP.Paris Centre, Cochin Hospital, Paris, France; University Paris Cité, Medical School, Paris F-75006, France
| | - Alain Cariou
- Medical Intensive Care Unit, APHP.Paris Centre, Cochin Hospital, Paris, France; University Paris Cité, Medical School, Paris F-75006, France
| | - Bertrand Hermann
- University Paris Cité, Medical School, Paris F-75006, France; INSERM 1266, Institute of Psychiatry and Neurosciences of Paris (IPNP), INSERM UMR 1266, Paris, France; Medical ICU, AP-HP, Hôpital Européen Georges Pompidou, 20 rue Leblanc, Paris F-75015, France
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Candia-Rivera D, Machado C. Multidimensional assessment of heartbeat-evoked responses in disorders of consciousness. Eur J Neurosci 2023; 58:3098-3110. [PMID: 37382151 DOI: 10.1111/ejn.16079] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Revised: 06/01/2023] [Accepted: 06/12/2023] [Indexed: 06/30/2023]
Abstract
Because consciousness does not necessarily translate into overt behaviour, detecting residual consciousness in noncommunicating patients remains a challenge. Bedside diagnostic methods based on EEG are promising and cost-effective alternatives to detect residual consciousness. Recent evidence showed that the cortical activations triggered by each heartbeat, namely, heartbeat-evoked responses (HERs), can detect through machine learning the presence of minimal consciousness and distinguish between overt and covert minimal consciousness. In this study, we explore different markers to characterize HERs to investigate whether different dimensions of the neural responses to heartbeats provide complementary information that is not typically found under standard event-related potential analyses. We evaluated HERs and EEG average non-locked to heartbeats in six types of participants: healthy state, locked-in syndrome, minimally conscious state, vegetative state/unresponsive wakefulness syndrome, comatose and brain-dead patients. We computed a series of markers from HERs that can generally separate the unconscious from the conscious. Our findings indicate that HER variance and HER frontal segregation tend to be higher in the presence of consciousness. These indices, when combined with heart rate variability, have the potential to enhance the differentiation between different levels of awareness. We propose that a multidimensional evaluation of brain-heart interactions could be included in a battery of tests to characterize disorders of consciousness. Our results may motivate further exploration of markers in brain-heart communication for the detection of consciousness at the bedside. The development of diagnostic methods based on brain-heart interactions may be translated into more feasible methods for clinical practice.
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Affiliation(s)
- Diego Candia-Rivera
- Paris Brain Institute - ICM, CNRS, INRIA, INSERM, AP-HP, Hôpital Pitié Salpêtrière, Sorbonne Université, Paris, France
| | - Calixto Machado
- Department of Clinical Neurophysiology, Institute of Neurology and Neurosurgery, Havana, Cuba
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Candia-Rivera D. Brain-heart interactions in the neurobiology of consciousness. CURRENT RESEARCH IN NEUROBIOLOGY 2022; 3:100050. [PMID: 36685762 PMCID: PMC9846460 DOI: 10.1016/j.crneur.2022.100050] [Citation(s) in RCA: 19] [Impact Index Per Article: 9.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2022] [Revised: 07/23/2022] [Accepted: 07/27/2022] [Indexed: 01/25/2023] Open
Abstract
Recent experimental evidence on patients with disorders of consciousness revealed that observing brain-heart interactions helps to detect residual consciousness, even in patients with absence of behavioral signs of consciousness. Those findings support hypotheses suggesting that visceral activity is involved in the neurobiology of consciousness, and sum to the existing evidence in healthy participants in which the neural responses to heartbeats reveal perceptual and self-consciousness. More evidence obtained through mathematical modeling of physiological dynamics revealed that emotion processing is prompted by an initial modulation from ascending vagal inputs to the brain, followed by sustained bidirectional brain-heart interactions. Those findings support long-lasting hypotheses on the causal role of bodily activity in emotions, feelings, and potentially consciousness. In this paper, the theoretical landscape on the potential role of heartbeats in cognition and consciousness is reviewed, as well as the experimental evidence supporting these hypotheses. I advocate for methodological developments on the estimation of brain-heart interactions to uncover the role of cardiac inputs in the origin, levels, and contents of consciousness. The ongoing evidence depicts interactions further than the cortical responses evoked by each heartbeat, suggesting the potential presence of non-linear, complex, and bidirectional communication between brain and heartbeat dynamics. Further developments on methodologies to analyze brain-heart interactions may contribute to a better understanding of the physiological dynamics involved in homeostatic-allostatic control, cognitive functions, and consciousness.
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Inhibitory Control and Brain–Heart Interaction: An HRV-EEG Study. Brain Sci 2022; 12:brainsci12060740. [PMID: 35741625 PMCID: PMC9221218 DOI: 10.3390/brainsci12060740] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/09/2022] [Revised: 06/01/2022] [Accepted: 06/02/2022] [Indexed: 12/10/2022] Open
Abstract
Background: Motor inhibition is a complex cognitive function regulated by specific brain regions and influenced by the activity of the Central Autonomic Network. We investigate the two-way Brain–Heart interaction during a Go/NoGo task. Spectral EEG ϑ, α powerbands, and HRV parameters (Complexity Index (CI), Low Frequency (LF) and High Frequency (HF) powers) were recorded. Methods: Fourteen healthy volunteers were enrolled. We used a modified version of the classical Go/NoGo task, based on Rule Shift Cards, characterized by a baseline and two different tasks of different complexity. The participants were divided into subjects with Good (GP) and Poor (PP) performances. Results: In the baseline, CI was negatively correlated with α/ϑ. In task 1, the CI was negatively correlated with the errors and α/ϑ, while the errors were positively correlated with α/ϑ. In task 2, CI was negatively correlated with the Reaction Time and positively with α, and the errors were negatively correlated with the Reaction Time and positively correlated with α/ϑ. The GP group showed, at baseline, a negative correlation between CI and α/ϑ. Conclusions: We provide a new combined Brain–Heart model underlying inhibitory control abilities. The results are consistent with the complementary role of α and ϑ oscillations in cognitive control.
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