Neurosurgical PatientsCADPONSNCT05230641
Cardiac Autonomic Dysfunction and Perioperative Outcomes
An observational study of Neurosurgical Patients, run by National Institute of Mental Health and Neuro Sciences, India at 1 site in India.
Trial summary
The autonomic nervous system (ANS) is cardinal for maintaining systemic homeostasis and is pivotal for the baseline regulation and modulation of vital cardiovascular, hemodynamic, respiratory, gastrointestinal, and body temperature regulating functions. Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- Neurosurgical Patients
- How many people
- 400 participants
- Where
- 1 siteIndia
- Study dates
- 1 Mar 2022to 31 Mar 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Consenting patients scheduled for neurosurgical procedures at the National Institute of Mental Health and Neurosciences, Bengaluru will be recruited if they fulfill the study inclusion criteria during the period of study duration
Who may be able to join
- aged between 18 and 80 years
- belonging to ASA grade 1-4
- scheduled for craniotomies or spinal surgeries under anesthesia
Who cannot join
- scheduled for redo procedures
- patients with preoperative arrhythmias and cardiac failure
- patients on preoperative inotropic support
- pregnant neurosurgical patients
Trial locations and contacts
1 site in 1 country.
About this study
Official title: Cardiac Autonomic Dysfunction and Perioperative Outcomes After Neurosurgery
The autonomic nervous system (ANS) is cardinal for maintaining systemic homeostasis and is pivotal for the baseline regulation and modulation of vital cardiovascular, hemodynamic, respiratory, gastrointestinal, and body temperature regulating functions. Pathological perturbations of the ANS leading to cardiac dysautonomia (CAD) affect one in 1000 population. Autonomic dysfunction can occur from a variety of pathological conditions such as ischemic heart disease, systemic hypertension, diabetes mellitus, neurological illnesses, neurotrauma, and cervical spine diseases. When patients with dysautonomia present for surgical procedures, they may manifest severe hemodynamic responses that may be less responsive to pharmacological interventions. Pre-existing autonomic dysfunction accentuates perioperative hemodynamic fluctuations during stressful events like direct laryngoscopy, endotracheal intubation, and extubation, and can result in major adverse cardiac events (MACE). The complications arising from CAD can prolong the duration of hospital stay and contribute to morbidity and mortality. Preoperative diagnosis of CAD helps in anticipation of and preparation for potentially severe adverse events in the perioperative period. Most neurosurgical patients are not candidates for detailed ANS examination in the supine and standing positions due to their underlying neurological condition. Real-time assessment of heart rate variability (HRV) using the ANSiscope equipment provides information on the sympathovagal balance during the immediate preoperative period and aids in the simple rapid bedside assessment of CAD. This study aims to examine the incidence of CAD through HRV assessment in neurosurgical patients, identify the potential risk factors for CAD in this population, and evaluate the impact of CAD on perioperative outcomes.
Read the detailed description
Demographic and baseline clinical data including comorbid conditions and medication history will be collected. Baseline hemodynamic parameters - heart rate (HR) and systolic, diastolic, and mean blood pressure (SBP, DBP, MAP), rate pressure product (RPP) calculated as the product of HR and SBP and ANSindex (which informs the degree of dysautonomia and is derived noninvasively from a recording of 572 R wave to R wave intervals on an electrocardiogram) will be recorded in the immediate preoperative period.
Assessment of risk factors for preoperative CAD The investigators will explore potential risk factors for CAD in neurosurgical patients. The investigators postulate some known factors such as anxiety which will be diagnosed using the Visual analog scale for anxiety (VAS-A), age, gender, neurosurgical pathology, site-specific surgery (high cervical pathology, structural brain lesions, brainstem lesion, etc.), pre-existing diabetes mellitus and hypertension, and medications used for their treatment, higher American Society of Anesthesiology (ASA) grade, etc. to be associated with CAD in neurosurgical patients.
The investigators will explore the association between CAD and perioperative outcomes. Major Adverse Cardiac Events during Intra and postoperative period, in-hospital mortality, and duration of postoperative ICU and hospital stay.
Anesthesia will be administered as per the existing practice. Hemodynamic parameters HR, SBP, DBP, MAP at following time points - before and 1 and 2 min after induction of general anesthesia, before and at 1, 3, and 5 mins after tracheal intubation, and before and at 1, 3, and 5 mins after skull pin application, where applicable. Adverse hemodynamic events - persistent hypotension, arrhythmias, myocardial ischemia, cardiac failure, cardiac arrest) during the early (after anesthetic induction and before surgical incision), late (surgical incision to surgical closure) intraoperative period, recovery period (end of anesthesia to discharge from the operating room), post-anesthesia care unit (PACU) period (from arrival to discharge from PACU) and early postoperative period (up to 72 hours after surgery), neurological status (Glasgow Coma Scale) at hospital discharge, and duration of ICU and hospital stay will be recorded. The core temperature will be monitored during the intraoperative period to detect hypothermia (<35o C) or hyperthermia (>37.5 o C).
Sample size and statistical analysis Previous studies in the non-neurosurgical populations have determined the prevalence of CAD to vary from 25 to 73%. Considering an average prevalence of 50% in the neurosurgical population and a possible 5% margin of error, a sample size of 383 would be necessary for achieving a 95% confidence level. Hence the investigators plan to recruit 400 patients over a period of 1 year to account for potential dropouts from the study.
Data will be analyzed using Statistical Package for the Social Sciences (SPSS) or R software. Continuous variables will be compared by t-test, qualitative data by chi2 test, or Fisher exact test. Logistic regression will be used to identify the risk factors for cardiac autonomic dysfunction. A p < 0.05 will be considered statistically significant.
- Conditions
- Neurosurgical Patients
- Being tested
- No intervention
- Keywords
- cardiac dysautonomia, neurosurgery, heart rate variability, hypotension, anesthesia, major adverse cardiac events, perioperative outcome
- Medical subject headings
- Hypotension, Cardiovascular Diseases
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
No interventionOther
Also called No interventions
This is a prospective observational study
What is being measured
The primary outcome is the main question the study is designed to answer.
Prevalence of cardiac autonomic dysfunction in neurosurgical patients
To study the prevalence of cardiac autonomic dysfunction in neurosurgical patients
Measured: Before anesthesia administration for surgery
Secondary outcomes (7)
Risk factors of cardiac autonomic dysfunction in neurosurgical patients
To identify risk factors of cardiac autonomic dysfunction in neurosurgical patients
Measured: Baseline
Impact of cardiac autonomic dysfunction on hemodynamic stress response
To assess the impact of cardiac autonomic dysfunction on hemodynamic stress response to laryngoscopy and intubation, anesthetic induction, and tracheal extubation
Measured: During anesthesia procedure for surgery
Impact of cardiac autonomic dysfunction on hemodynamic instability
To assess the impact of cardiac autonomic dysfunction on incidence, duration and severity of intraoperative hypotension and hypertension and requirement of pharmacological intervention
Measured: During surgery
Impact of cardiac autonomic dysfunction on Major Adverse Cardiac Events
To assess the impact of cardiac autonomic dysfunction on Major Adverse Cardiac Events namely, new onset myocardial ischemia, congestive cardiac failure, cardiac arrhythmias, cardiac arrest requiring resuscitation
Measured: During and after surgery till discharge from the hospital, an average of 1 week
Impact of cardiac autonomic dysfunction on temperature instability
To assess the impact of cardiac autonomic dysfunction on incidence of hypothermia and hyperthermia
Measured: During surgery
Impact of cardiac autonomic dysfunction on duration of hospital stay
To assess the impact of cardiac autonomic dysfunction on duration of ICU and hospital stay
Measured: After surgery till the time of discharge from the hospital, an average of 1 week
Impact of cardiac autonomic dysfunction on in-hospital mortality
To assess the impact of cardiac autonomic dysfunction on in-hospital mortality
Measured: After surgery till the time of discharge from the hospital, an average of 1 week
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted9 Feb 2022
- Study start1 Mar 2022
- Primary completion31 Mar 2023
- Study completion31 Mar 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (13)Papers the sponsor has linked to this study.
- Other trials for Neurosurgical PatientsStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 400 participants (actual)
Sponsor and investigators
- Lead sponsor
- National Institute of Mental Health and Neuro Sciences, India
- Sponsor type
- University, hospital or other
- Collaborators
- Vision Group on Science and Technology, DyAnsys, Inc.
- Responsible party
- Principal investigator, RP Sangeetha, National Institute of Mental Health and Neuro Sciences, India
- Investigators
- Sangeetha RP, Principal investigator, National Institute of Mental Health and Neuro Sciences, India
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05230641
- Sponsor's protocol ID
- NIMHANS/33 IEC(BS&NS DIV)/2021
- Acronym
- CADPONS
- Status last verified
- Jul 2023
- First submitted
- 12 Jan 2022
- Last updated
- 7 Jul 2023
- Results posted
- No
- Data monitoring committee
- Yes
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided: Individual participant data will be available with the Principal Investigator and shared with other researchers on request.
Publications
Chakraborty T, Kramer CL, Wijdicks EFM, Rabinstein AA. Dysautonomia in Guillain-Barre Syndrome: Prevalence, Clinical Spectrum, and Outcomes. Neurocrit Care. 2020 Feb;32(1):113-120. doi: 10.1007/s12028-019-00781-w.
PubMed 31297663McGrane S, Atria NP, Barwise JA. Perioperative implications of the patient with autonomic dysfunction. Curr Opin Anaesthesiol. 2014 Jun;27(3):365-70. doi: 10.1097/ACO.0000000000000072.
PubMed 24722004Keyl C, Lemberger P, Palitzsch KD, Hochmuth K, Liebold A, Hobbhahn J. Cardiovascular autonomic dysfunction and hemodynamic response to anesthetic induction in patients with coronary artery disease and diabetes mellitus. Anesth Analg. 1999 May;88(5):985-91. doi: 10.1097/00000539-199905000-00004.
PubMed 10320156Polderman JAW, Sperna Weiland NH, Klaver MH, Biginski J, Horninge M, Hollmann MW, DeVries JH, Immink RV, Preckel B, Hermanides J. The prevalence of cardiovascular autonomic neuropathy and its influence on post induction hemodynamic variables in patients with and without diabetes; A prospective cohort study. PLoS One. 2018 Nov 26;13(11):e0207384. doi: 10.1371/journal.pone.0207384. eCollection 2018.
PubMed 30475825Hogan AM, Luck C, Woods S, Ortu A, Petkov S. The Effect of Orthostatic Hypotension Detected Pre-Operatively on Post-Operative Outcome. J Am Geriatr Soc. 2021 Mar;69(3):767-772. doi: 10.1111/jgs.16966. Epub 2020 Dec 11.
PubMed 33314116Mustafa HI, Fessel JP, Barwise J, Shannon JR, Raj SR, Diedrich A, Biaggioni I, Robertson D. Dysautonomia: perioperative implications. Anesthesiology. 2012 Jan;116(1):205-15. doi: 10.1097/ALN.0b013e31823db712.
PubMed 22143168Cheshire WP, Freeman R, Gibbons CH, Cortelli P, Wenning GK, Hilz MJ, Spies JM, Lipp A, Sandroni P, Wada N, Mano T, Kim HA, Kimpinski K, Iodice V, Idiaquez J, Thaisetthawatkul P, Coon EA, Low PA, Singer W. Corrigendum to "Electrodiagnostic assessment of the autonomic nervous system: A consensus statement endorsed by the American Autonomic Society, American Academy of Neurology, and the International Federation of Clinical Neurophysiology" [Clin. Neurophysiol. 132(2) (2021) 666-682]. Clin Neurophysiol. 2021 May;132(5):1194. doi: 10.1016/j.clinph.2021.02.006. Epub 2021 Mar 6. No abstract available.
PubMed 33685802Farbood A, Sahmeddini MA, Bayat S, Karami N. The effect of preoperative depression and anxiety on heart rate variability in women with breast cancer. Breast Cancer. 2020 Sep;27(5):912-918. doi: 10.1007/s12282-020-01087-y. Epub 2020 Apr 7.
PubMed 32266603Abhishekh HA, Nisarga P, Kisan R, Meghana A, Chandran S, Trichur Raju, Sathyaprabha TN. Influence of age and gender on autonomic regulation of heart. J Clin Monit Comput. 2013 Jun;27(3):259-64. doi: 10.1007/s10877-012-9424-3. Epub 2013 Jan 8.
PubMed 23297094Katsanos AH, Korantzopoulos P, Tsivgoulis G, Kyritsis AP, Kosmidou M, Giannopoulos S. Electrocardiographic abnormalities and cardiac arrhythmias in structural brain lesions. Int J Cardiol. 2013 Jul 31;167(2):328-34. doi: 10.1016/j.ijcard.2012.06.107. Epub 2012 Jul 16.
PubMed 22809542Ideguchi M, Kajiwara K, Yoshikawa K, Sadahiro H, Nomura S, Fujii M, Suzuki M. Characteristics of intraoperative abnormal hemodynamics during resection of an intra-fourth ventricular tumor located on the dorsal medulla oblongata. Neurol Med Chir (Tokyo). 2013;53(10):655-62. doi: 10.2176/nmc.oa2012-0401. Epub 2013 Sep 27.
PubMed 24077276Padley JR, Ben-Menachem E. Low pre-operative heart rate variability and complexity are associated with hypotension after anesthesia induction in major abdominal surgery. J Clin Monit Comput. 2018 Apr;32(2):245-252. doi: 10.1007/s10877-017-0012-4. Epub 2017 Mar 14.
PubMed 28293808Knuttgen D, Weidemann D, Doehn M. Diabetic autonomic neuropathy: abnormal cardiovascular reactions under general anesthesia. Klin Wochenschr. 1990 Dec 4;68(23):1168-72. doi: 10.1007/BF01815272.
PubMed 2280579
Study at a glance
From the registry record, last updated by the sponsor on 7 Jul 2023. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Cardiac Autonomic Dysfunction and Perioperative Outcomes After Neurosurgery
- ClinicalTrials.gov ID
- NCT05230641
- Acronym / sponsor ID
- CADPONS / NIMHANS/33 IEC(BS&NS DIV)/2021
- Conditions
- Neurosurgical Patients
- Keywords
- cardiac dysautonomia, neurosurgery, heart rate variability, hypotension, anesthesia, major adverse cardiac events, perioperative outcome
- Study type
- Observational
- Recruitment status
- Completed
- Enrolment
- 400 participants (actual)
- Lead sponsor
- National Institute of Mental Health and Neuro Sciences, IndiaUniversity, hospital or other
- Collaborators
- Vision Group on Science and Technology, DyAnsys, Inc.
- Study start
- 1 Mar 2022 (actual)
- Primary completion
- 31 Mar 2023 (actual)
- Study completion
- 31 Mar 2023 (actual)
- First posted
- 9 Feb 2022 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
The autonomic nervous system (ANS) is cardinal for maintaining systemic homeostasis and is pivotal for the baseline regulation and modulation of vital cardiovascular, hemodynamic, respiratory, gastrointestinal, and body temperature regulating functions. Pathological perturbations of the ANS leading to cardiac dysautonomia (CAD) affect one in 1000 population. Autonomic dysfunction can occur from a variety of pathological conditions such as ischemic heart disease, systemic hypertension, diabetes mellitus, neurological illnesses, neurotrauma, and cervical spine diseases. When patients with dysautonomia present for surgical procedures, they may manifest severe hemodynamic responses that may be less responsive to pharmacological interventions. Pre-existing autonomic dysfunction accentuates perioperative hemodynamic fluctuations during stressful events like direct laryngoscopy, endotracheal intubation, and extubation, and can result in major adverse cardiac events (MACE). The complications arising from CAD can prolong the duration of hospital stay and contribute to morbidity and mortality. Preoperative diagnosis of CAD helps in anticipation of and preparation for potentially severe adverse events in the perioperative period. Most neurosurgical patients are not candidates for detailed ANS examination in the supine and standing positions due to their underlying neurological condition. Real-time assessment of heart rate variability (HRV) using the ANSiscope equipment provides information on the sympathovagal balance during the immediate preoperative period and aids in the simple rapid bedside assessment of CAD. This study aims to examine the incidence of CAD through HRV assessment in neurosurgical patients, identify the potential risk factors for CAD in this population, and evaluate the impact of CAD on perioperative outcomes.
Detailed description
Demographic and baseline clinical data including comorbid conditions and medication history will be collected. Baseline hemodynamic parameters - heart rate (HR) and systolic, diastolic, and mean blood pressure (SBP, DBP, MAP), rate pressure product (RPP) calculated as the product of HR and SBP and ANSindex (which informs the degree of dysautonomia and is derived noninvasively from a recording of 572 R wave to R wave intervals on an electrocardiogram) will be recorded in the immediate preoperative period.
Assessment of risk factors for preoperative CAD The investigators will explore potential risk factors for CAD in neurosurgical patients. The investigators postulate some known factors such as anxiety which will be diagnosed using the Visual analog scale for anxiety (VAS-A), age, gender, neurosurgical pathology, site-specific surgery (high cervical pathology, structural brain lesions, brainstem lesion, etc.), pre-existing diabetes mellitus and hypertension, and medications used for their treatment, higher American Society of Anesthesiology (ASA) grade, etc. to be associated with CAD in neurosurgical patients.
The investigators will explore the association between CAD and perioperative outcomes. Major Adverse Cardiac Events during Intra and postoperative period, in-hospital mortality, and duration of postoperative ICU and hospital stay.
Anesthesia will be administered as per the existing practice. Hemodynamic parameters HR, SBP, DBP, MAP at following time points - before and 1 and 2 min after induction of general anesthesia, before and at 1, 3, and 5 mins after tracheal intubation, and before and at 1, 3, and 5 mins after skull pin application, where applicable. Adverse hemodynamic events - persistent hypotension, arrhythmias, myocardial ischemia, cardiac failure, cardiac arrest) during the early (after anesthetic induction and before surgical incision), late (surgical incision to surgical closure) intraoperative period, recovery period (end of anesthesia to discharge from the operating room), post-anesthesia care unit (PACU) period (from arrival to discharge from PACU) and early postoperative period (up to 72 hours after surgery), neurological status (Glasgow Coma Scale) at hospital discharge, and duration of ICU and hospital stay will be recorded. The core temperature will be monitored during the intraoperative period to detect hypothermia (<35o C) or hyperthermia (>37.5 o C).
Sample size and statistical analysis Previous studies in the non-neurosurgical populations have determined the prevalence of CAD to vary from 25 to 73%. Considering an average prevalence of 50% in the neurosurgical population and a possible 5% margin of error, a sample size of 383 would be necessary for achieving a 95% confidence level. Hence the investigators plan to recruit 400 patients over a period of 1 year to account for potential dropouts from the study.
Data will be analyzed using Statistical Package for the Social Sciences (SPSS) or R software. Continuous variables will be compared by t-test, qualitative data by chi2 test, or Fisher exact test. Logistic regression will be used to identify the risk factors for cardiac autonomic dysfunction. A p < 0.05 will be considered statistically significant.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Consenting patients scheduled for neurosurgical procedures at the National Institute of Mental Health and Neurosciences, Bengaluru will be recruited if they fulfill the study inclusion criteria during the period of study duration
Key inclusion criteria (3 listed)
- aged between 18 and 80 years
- belonging to ASA grade 1-4
- scheduled for craniotomies or spinal surgeries under anesthesia
Key exclusion criteria (4 listed)
- scheduled for redo procedures
- patients with preoperative arrhythmias and cardiac failure
- patients on preoperative inotropic support
- pregnant neurosurgical patients
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| No interventionAlso: No interventionsThis is a prospective observational study | Other | – |
Primary outcome
Prevalence of cardiac autonomic dysfunction in neurosurgical patients
Time frame: Before anesthesia administration for surgery
To study the prevalence of cardiac autonomic dysfunction in neurosurgical patients
7 secondary outcomes
Risk factors of cardiac autonomic dysfunction in neurosurgical patients
Time frame: Baseline
Impact of cardiac autonomic dysfunction on hemodynamic stress response
Time frame: During anesthesia procedure for surgery
Impact of cardiac autonomic dysfunction on hemodynamic instability
Time frame: During surgery
Impact of cardiac autonomic dysfunction on Major Adverse Cardiac Events
Time frame: During and after surgery till discharge from the hospital, an average of 1 week
Impact of cardiac autonomic dysfunction on temperature instability
Time frame: During surgery
Impact of cardiac autonomic dysfunction on duration of hospital stay
Time frame: After surgery till the time of discharge from the hospital, an average of 1 week
Impact of cardiac autonomic dysfunction on in-hospital mortality
Time frame: After surgery till the time of discharge from the hospital, an average of 1 week
Results and safety
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 7 Jul 2023.
- Background: PubMed 31297663Chakraborty T, Kramer CL, Wijdicks EFM, Rabinstein AA. Dysautonomia in Guillain-Barre Syndrome: Prevalence, Clinical Spectrum, and Outcomes. Neurocrit Care. 2020 Feb;32(1):113-120. doi: 10.1007/s12028-019-00781-w.
- Background: PubMed 24722004McGrane S, Atria NP, Barwise JA. Perioperative implications of the patient with autonomic dysfunction. Curr Opin Anaesthesiol. 2014 Jun;27(3):365-70. doi: 10.1097/ACO.0000000000000072.
- Background: PubMed 10320156Keyl C, Lemberger P, Palitzsch KD, Hochmuth K, Liebold A, Hobbhahn J. Cardiovascular autonomic dysfunction and hemodynamic response to anesthetic induction in patients with coronary artery disease and diabetes mellitus. Anesth Analg. 1999 May;88(5):985-91. doi: 10.1097/00000539-199905000-00004.
- Background: PubMed 30475825Polderman JAW, Sperna Weiland NH, Klaver MH, Biginski J, Horninge M, Hollmann MW, DeVries JH, Immink RV, Preckel B, Hermanides J. The prevalence of cardiovascular autonomic neuropathy and its influence on post induction hemodynamic variables in patients with and without diabetes; A prospective cohort study. PLoS One. 2018 Nov 26;13(11):e0207384. doi: 10.1371/journal.pone.0207384. eCollection 2018.
- Background: PubMed 33314116Hogan AM, Luck C, Woods S, Ortu A, Petkov S. The Effect of Orthostatic Hypotension Detected Pre-Operatively on Post-Operative Outcome. J Am Geriatr Soc. 2021 Mar;69(3):767-772. doi: 10.1111/jgs.16966. Epub 2020 Dec 11.
- Background: PubMed 22143168Mustafa HI, Fessel JP, Barwise J, Shannon JR, Raj SR, Diedrich A, Biaggioni I, Robertson D. Dysautonomia: perioperative implications. Anesthesiology. 2012 Jan;116(1):205-15. doi: 10.1097/ALN.0b013e31823db712.
- Background: PubMed 33685802Cheshire WP, Freeman R, Gibbons CH, Cortelli P, Wenning GK, Hilz MJ, Spies JM, Lipp A, Sandroni P, Wada N, Mano T, Kim HA, Kimpinski K, Iodice V, Idiaquez J, Thaisetthawatkul P, Coon EA, Low PA, Singer W. Corrigendum to "Electrodiagnostic assessment of the autonomic nervous system: A consensus statement endorsed by the American Autonomic Society, American Academy of Neurology, and the International Federation of Clinical Neurophysiology" [Clin. Neurophysiol. 132(2) (2021) 666-682]. Clin Neurophysiol. 2021 May;132(5):1194. doi: 10.1016/j.clinph.2021.02.006. Epub 2021 Mar 6. No abstract available.
- Background: PubMed 32266603Farbood A, Sahmeddini MA, Bayat S, Karami N. The effect of preoperative depression and anxiety on heart rate variability in women with breast cancer. Breast Cancer. 2020 Sep;27(5):912-918. doi: 10.1007/s12282-020-01087-y. Epub 2020 Apr 7.
- Background: PubMed 23297094Abhishekh HA, Nisarga P, Kisan R, Meghana A, Chandran S, Trichur Raju, Sathyaprabha TN. Influence of age and gender on autonomic regulation of heart. J Clin Monit Comput. 2013 Jun;27(3):259-64. doi: 10.1007/s10877-012-9424-3. Epub 2013 Jan 8.
- Background: PubMed 22809542Katsanos AH, Korantzopoulos P, Tsivgoulis G, Kyritsis AP, Kosmidou M, Giannopoulos S. Electrocardiographic abnormalities and cardiac arrhythmias in structural brain lesions. Int J Cardiol. 2013 Jul 31;167(2):328-34. doi: 10.1016/j.ijcard.2012.06.107. Epub 2012 Jul 16.
- Background: PubMed 24077276Ideguchi M, Kajiwara K, Yoshikawa K, Sadahiro H, Nomura S, Fujii M, Suzuki M. Characteristics of intraoperative abnormal hemodynamics during resection of an intra-fourth ventricular tumor located on the dorsal medulla oblongata. Neurol Med Chir (Tokyo). 2013;53(10):655-62. doi: 10.2176/nmc.oa2012-0401. Epub 2013 Sep 27.
- Background: PubMed 28293808Padley JR, Ben-Menachem E. Low pre-operative heart rate variability and complexity are associated with hypotension after anesthesia induction in major abdominal surgery. J Clin Monit Comput. 2018 Apr;32(2):245-252. doi: 10.1007/s10877-017-0012-4. Epub 2017 Mar 14.
- Individual participant dataSharing planned: Undecided. Individual participant data will be available with the Principal Investigator and shared with other researchers on request.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Sangeetha RP principal investigator
National Institute of Mental Health and Neuro Sciences, India
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Neurosurgical Patients, run by National Institute of Mental Health and Neuro Sciences, India at 1 site in India.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 7 Jul 2023. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in India. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
The study is completed, but results are not available in the source record. That does not mean the treatment did or did not work.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Prevalence of cardiac autonomic dysfunction in neurosurgical patients (time frame: Before anesthesia administration for surgery). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05230641, which also lists 13 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 7 Jul 2023.