- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07443072
Heart Rate Variability and Processed EEG Features as Predictors of Postoperative Outcomes After Cranial Neurosurgery (HERO-PACU)
Heart Rate Variability and Processed EEG Features as Predictors of Postoperative Outcomes After Cranial Neurosurgery - A Prospective Observational Study in the Post-Anesthesia Care Unit
Study Overview
Status
Conditions
Detailed Description
Patients undergoing cranial neurosurgery face a particularly vulnerable postoperative course. The immediate hours after surgery represent a high-risk window, as the transition from anesthesia to recovery is marked by abrupt physiological shifts and the potential for neurological or systemic instability. As patients transition from deep anesthesia to consciousness, dynamic fluctuations in autonomic tone and cortical activity reflect the brain's ability to recover from surgical and anesthetic stress. Smooth emergence and extubation are therefore essential: coughing, hypertension, or surges in intracranial pressure (ICP) can endanger hemostasis and compromise brain protection. Most serious complications-such as intracranial bleeding, cerebral edema, ischemia, hydrocephalus, or herniation-tend to arise within the first hours after surgery.
The Post Anesthesia Care Unit (PACU) constitutes a important window of observation. At this critical phase many strategies have been developed to protect the brain from complication triggering events. For example, remifentanil infusion-whether manual or target-controlled at effect-site concentrations, like adopted at our institution, titrated to suppress airway reflexes and blunt cardiovascular responses-have been shown to promote safe and controlled awakening while preserving prompt neurological evaluation(1-6), facilitating the identification of surgical from anesthetic causes of delayed recovery. Any unrecognized or delayed deterioration early after surgery may herald potentially warning signs, highlighting the need for accurate, physiology-based monitoring to support timely detection and intervention.
Standard monitoring-focused largely on vital signs-offers limited insight into the underlying brain and autonomic processes that govern recovery. Heat rate variability (HRV) and processed electroencephalography (pEEG) features, may provide novel means to characterize patient vulnerability in the PACU, improving risk stratification and guiding individualized perioperative care.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Andrea Gentile, MD
- Phone Number: + 39 02.2394
- Email: andrea.gentile@istituto-besta.it
Study Contact Backup
- Name: Marco Gemma, M.D.
- Phone Number: 02.2394.
- Email: marco.gemma@istituto-besta.it
Study Locations
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-
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Milan, Italy
- Recruiting
- Fondazione IRCCS Istituto Neurologico Carlo Besta
-
Contact:
- Andrea Gentile, MD
- Phone Number: + 39 02.2394
- Email: andrea.gentile@istituto-besta.it
-
Contact:
- Marco Gemma, MD
- Email: marco.gemma@istituto-besta.it
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- Adult patients (≥18 years) scheduled for elective cranial neurosurgery.
- Planned extubation in the PACU after surgery.
- Ability to obtain high-quality ECG and EEG recordings intra- and postoperatively (≥60 min expected PACU monitoring).
- Written informed consent signed preoperatively.
Exclusion Criteria:
- Pre-existing severe cardiac arrhythmias (e.g., atrial fibrillation, frequent ectopy) or pacemaker dependence.
- Known severe autonomic neuropathy (e.g., advanced diabetes, Parkinson's disease with autonomic failure).
- Preoperative conditions associated with abnormal EEG (status epilepticus, uncontrolled seizures, sedative/hypnotic overdose).
- Intraoperative or immediate postoperative events necessitating continued mechanical ventilation or ICU admission (e.g., massive bleeding, intraoperative arrest).
- Inability to provide informed consent (e.g., cognitive impairment, language barrier without interpreter).
- Refusal of informed consent
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Temporal trajectories of HRV and pEEG after Neurosurgery in the PACU
Time Frame: 1 year
|
Quantitative assessment of autonomic and cortical recovery during the entire period of PACU staying until 120 minutes after extubation or PACU discharge
Processed EEG index value (dimensionless scale, 0-100) Spectral edge frequency (Hz) Relative alpha and delta power (% of total EEG power) Measurements will be extracted in predefined 5-minute epochs during of PACU monitoring |
1 year
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Correlation Between HRV/pEEG Parameters in PACU and Incidence of Early Postoperative Complications Within 48 Hours
Time Frame: 48 hours after surgery
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Association between HRV and pEEG parameters (RMSSD, SDNN, LF/HF ratio, pEEG index, spectral edge frequency) measured during the first 60 minutes in PACU and the occurrence of predefined postoperative complications within 48 hours. Postoperative complications will include:
The strength of association will be quantified using:
Unit of Measure:
|
48 hours after surgery
|
|
Correlation Between HRV/pEEG Parameters and Perioperative Drug Exposure
Time Frame: Intraoperative period
|
Correlation between HRV/pEEG parameters measured in PACU and intraoperative anesthetic and opioid exposure including:
The relationship will be quantified using:
Unit of Measure:
|
Intraoperative period
|
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Correlation Between HRV/pEEG Parameters and Perioperative Clinical Variables
Time Frame: Intraoperative period
|
Correlation between PACU HRV/pEEG parameters and:
Association will be assessed using:
Unit of Measure:
|
Intraoperative period
|
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Feasibility and Data Quality of HRV and pEEG Monitoring in PACU
Time Frame: First 60 minutes of PACU stay
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Assessment of feasibility and signal quality of ECG and pEEG recordings during PACU monitoring, including:
Unit of Measure: Percentage (%) |
First 60 minutes of PACU stay
|
Collaborators and Investigators
Publications and helpful links
General Publications
- Heart rate variability: standards of measurement, physiological interpretation and clinical use. Task Force of the European Society of Cardiology and the North American Society of Pacing and Electrophysiology. Circulation. 1996 Mar 1;93(5):1043-65. No abstract available.
- Shaffer F, Ginsberg JP. An Overview of Heart Rate Variability Metrics and Norms. Front Public Health. 2017 Sep 28;5:258. doi: 10.3389/fpubh.2017.00258. eCollection 2017.
- Thayer JF, Ahs F, Fredrikson M, Sollers JJ 3rd, Wager TD. A meta-analysis of heart rate variability and neuroimaging studies: implications for heart rate variability as a marker of stress and health. Neurosci Biobehav Rev. 2012 Feb;36(2):747-56. doi: 10.1016/j.neubiorev.2011.11.009. Epub 2011 Dec 8.
- Kim HG, Cheon EJ, Bai DS, Lee YH, Koo BH. Stress and Heart Rate Variability: A Meta-Analysis and Review of the Literature. Psychiatry Investig. 2018 Mar;15(3):235-245. doi: 10.30773/pi.2017.08.17. Epub 2018 Feb 28.
- Huston JM, Tracey KJ. The pulse of inflammation: heart rate variability, the cholinergic anti-inflammatory pathway and implications for therapy. J Intern Med. 2011 Jan;269(1):45-53. doi: 10.1111/j.1365-2796.2010.02321.x.
- 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 Feb 20;8:213. doi: 10.3389/fpsyg.2017.00213. eCollection 2017.
- Nho JS, Lee SY, Kang JM, Kim MC, Choi YK, Shin OY, Kim DS, Kwon MI. Effects of maintaining a remifentanil infusion on the recovery profiles during emergence from anaesthesia and tracheal extubation. Br J Anaesth. 2009 Dec;103(6):817-21. doi: 10.1093/bja/aep307. Epub 2009 Oct 28.
- Choi SH, Min KT, Lee JR, Choi KW, Han KH, Kim EH, Oh HJ, Lee JH. Determination of EC95 of remifentanil for smooth emergence from propofol anesthesia in patients undergoing transsphenoidal surgery. J Neurosurg Anesthesiol. 2015 Apr;27(2):160-6. doi: 10.1097/ANA.0000000000000094.
- Shahiri TS, Richard-Lalonde M, Richebe P, Gelinas C. Exploration of the Nociception Level (NOL) Index for Pain Assessment during Endotracheal Suctioning in Mechanically Ventilated Patients in the Intensive Care Unit: An Observational and Feasibility Study. Pain Manag Nurs. 2020 Oct;21(5):428-434. doi: 10.1016/j.pmn.2020.02.067. Epub 2020 Apr 27.
- Tiwari R, Kumar R, Malik S, Raj T, Kumar P. Analysis of Heart Rate Variability and Implication of Different Factors on Heart Rate Variability. Curr Cardiol Rev. 2021;17(5):e160721189770. doi: 10.2174/1573403X16999201231203854.
- Arakaki X, Arechavala RJ, Choy EH, Bautista J, Bliss B, Molloy C, Wu DA, Shimojo S, Jiang Y, Kleinman MT, Kloner RA. The connection between heart rate variability (HRV), neurological health, and cognition: A literature review. Front Neurosci. 2023 Mar 1;17:1055445. doi: 10.3389/fnins.2023.1055445. eCollection 2023.
- Marino L, Badenes R, Bilotta F. Heart Rate Variability for Outcome Prediction in Intracerebral and Subarachnoid Hemorrhage: A Systematic Review. J Clin Med. 2023 Jun 28;12(13):4355. doi: 10.3390/jcm12134355.
- Frandsen MN, Mehlsen J, Foss NB, Kehlet H. Preoperative heart rate variability as a predictor of perioperative outcomes: a systematic review without meta-analysis. J Clin Monit Comput. 2022 Aug;36(4):947-960. doi: 10.1007/s10877-022-00819-z. Epub 2022 Jan 29.
- Winchell RJ, Hoyt DB. Analysis of heart-rate variability: a noninvasive predictor of death and poor outcome in patients with severe head injury. J Trauma. 1997 Dec;43(6):927-33. doi: 10.1097/00005373-199712000-00010.
- Liu X, Wan H, Wang H, Zhang G, Zhong Q, Duan X. Correlation between heart rate variability and perioperative neurocognitive disorders in patients undergoing non-cardiac surgery: A retrospective cohort study. PLoS One. 2024 Apr 2;19(4):e0297337. doi: 10.1371/journal.pone.0297337. eCollection 2024.
- Satomoto M. Predicting Postoperative Emergence Delirium From the Heart Rate Variability of Patients Undergoing Elective Cardiac Surgery. Cureus. 2023 Feb 3;15(2):e34613. doi: 10.7759/cureus.34613. eCollection 2023 Feb.
- Li X, Deng X, Huang Z, Kowark A, Coburn M, Zhang G, Duan X. Relationship between Heart Rate Variability and Postoperative Cognitive Dysfunction in Elderly Patients. Am J Health Behav. 2023 Feb 28;47(1):65-74. doi: 10.5993/AJHB.47.1.8.
- Perez-Otal B, Aragon-Benedi C, Pascual-Bellosta A, Ortega-Lucea S, Martinez-Ubieto J, Ramirez-Rodriguez JM; Research Group in Anaesthesia, Resuscitation, and Perioperative Medicine of Institute for Health Research Aragon (ISS Aragon). Neuromonitoring depth of anesthesia and its association with postoperative delirium. Sci Rep. 2022 Jul 26;12(1):12703. doi: 10.1038/s41598-022-16466-y.
- Ushiyama T, Nakatsu T, Yamane S, Tokutake H, Wakabayashi H, Ishimura K, Maeta H. Heart rate variability for evaluating surgical stress and development of postoperative complications. Clin Exp Hypertens. 2008 Jan;30(1):45-55. doi: 10.1080/10641960701813908.
- Wujtewicz M, Owczuk R. Heart rate variability in anaesthesiology - narrative review. Anaesthesiol Intensive Ther. 2023;55(1):1-8. doi: 10.5114/ait.2023.126309.
- So V, Balanaser M, Klar G, Leitch J, McGillion M, Devereaux PJ, Arellano R, Parlow J, Gilron I. Scoping review of the association between postsurgical pain and heart rate variability parameters. Pain Rep. 2021 Dec 2;6(4):e977. doi: 10.1097/PR9.0000000000000977. eCollection 2021 Nov-Dec.
- Wojtanowski A, Hureau M, Jeanne M, Bureau C, Recher M, De Jonckheere J. Heart rate variability as a marker of multiple organ dysfunction syndromes: a systematic review. J Clin Monit Comput. 2025 Aug;39(4):717-729. doi: 10.1007/s10877-025-01296-w. Epub 2025 Apr 21.
- Liu J, Liu S, Gao L, Li G, Xu J, Sun Y, Wang J, Shi B. Predicting Post-operative Blood Inflammatory Biomarkers Using Pre-operative Heart Rate Variability in Patients With Cervical Cancer. Front Physiol. 2021 Nov 4;12:696208. doi: 10.3389/fphys.2021.696208. eCollection 2021.
- Cooper TM, McKinley PS, Seeman TE, Choo TH, Lee S, Sloan RP. Heart rate variability predicts levels of inflammatory markers: Evidence for the vagal anti-inflammatory pathway. Brain Behav Immun. 2015 Oct;49:94-100. doi: 10.1016/j.bbi.2014.12.017. Epub 2014 Dec 22.
- Yaniv Y, Lyashkov AE, Lakatta EG. Impaired signaling intrinsic to sinoatrial node pacemaker cells affects heart rate variability during cardiac disease. J Clin Trials. 2014 Mar;4(1):152. doi: 10.4172/2167-0870.1000152.
- Ghodraty MR, Hasani V, Bagheri-Aghdam A, Zamani MM, Pournajafian A, Rokhtabnak F, Kholdebarin A, Nader ND. Remifentanil infusion during emergence moderates hemodynamic and cough responses to the tracheal tube: A randomized controlled trial. J Clin Anesth. 2016 Sep;33:514-20. doi: 10.1016/j.jclinane.2015.09.001. Epub 2015 Oct 23.
- Hurtado P, Tercero J, Garcia-Orellana M, Ensenat J, Reyes L, Cabedo G, Rios J, Carrero E, de Riva N, Fontanals J, Gracia I, Belda I, Lopez AM, Fabregas N, Valero R. Hemodynamic Response, Coughing and Incidence of Cerebrospinal Fluid Leakage on Awakening with an Endotracheal Tube or Laryngeal Mask Airway in Place after Transsphenoidal Pituitary Surgery: A Randomized Clinical Trial. J Clin Med. 2021 Jun 28;10(13):2874. doi: 10.3390/jcm10132874.
- Kapil S, Jain D, Ganesh V, Panda NB, Arya VK, Grover VK, Mukherjee KK, Bhagat H. Comparison of Response First Technique with Reversal First Technique for Quality of Extubation in Patients Undergoing Transsphenoidal Pituitary Surgery: A Randomized Clinical Trial. Neurol India. 2024 May 1;72(3):528-533. doi: 10.4103/neurol-india.Neurol-India-D-23-00528. Epub 2024 Jun 30.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
- Monitoring
- Recovery
- EEG
- Anesthesia
- HRV
- Neurosurgery
- heart rate variability
- Emergence
- electroencephalography
- PACU
- Post Anesthesia Care Unit
- processed EEG
- Awakening
- EEG patterns
- EEG signatures
- pEEG
- Autonomous Nervous System
- Cortical Function
- Outcome after Neurosurgery
- Post Operative Period
- Post Operative Monitoring
- Post Operative Outcome
Other Study ID Numbers
- HERO-PACU
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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