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Basic Information
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COMPLETED
50 participants
OBSERVATIONAL
2020-05-01
2020-07-31
Brief Summary
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Detailed Description
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Intracranial pressure (ICP) monitoring is relevant in several CNS diseases with risk for critical intracranial hypertension (ICH)(10). Still, this parameter is considered in specific situations, limiting its use in neurocritical settings, especially because of the invasive nature of the monitoring techniques available. ICH has potential to compromise CC and, consequently, promote brain tissue damage. Regarding COVID-19, unless a mass effect structural damage documented by encephalic imaging is evident, there is no justification to perform a trepanation to implant an ICP monitor, hence, noninvasive techniques such as transcranial Doppler by means of cerebral hemodynamics evaluation and the novel cranial pulse detector (B4C), by means of the quantitative evaluation of the ICP curves, may play a role in this scenario.
The purpose of the present study was to evaluate CC in a set of COVID-19 patients, since implementation until withdrawal of respiratory support in ICU, to evaluate the potential persistence of CC impairment in this population. Prolonged CC impairment observation may aid decision making and targeted therapy in this population. Study design A single center, observational and prospective research was conducted including consecutive subjects in intensive care units (ICU) of the Hospital das Clínicas, São Paulo University, Brazil, with approval of local ethics committee. Our inclusion criteria regarded patients with SARS for COVID-19, under ventilatory support of any age and gender. Exclusion criteria comprehended the absence of legally authorized responsible (LAR) consent, patients without temporal acoustic window for TCD assessment, patients unable to undergo monitoring with the NICC sensor due to lesions and/or skin infections in the sensor application region, patients with head circumference smaller than 47 cm. The study protocol followed the Standards for Reporting of Diagnostic Accuracy Studies (STARD) statement.
Eligible subjects are selected by the ICU team (SF, BT, EB and LMSM) during the first three days of orotracheal intubation for CC monitoring with B4C and TCD hemodynamics evaluation once, marking the beginning of SARS. The same evaluations are repeated once again during the first three days after extubating, as a sign of recovery stage. Clinical parameters were controlled to avoid assessment bias, as systemic arterial pressure, hydric balance, presence of CNS depressors with influence on cerebrovascular hemodynamics, laboratorial partial O2 and CO2 pressures and hemoglobin, and temperature. One operator is performing TCD and B4C evaluations. Overall sample clinical condition was quantified using the simplified acute physiologic score (SAPS 3).
CC monitoring techniques Cerebral compliance was evaluated noninvasively by the cranial deformation method developed by brain4care (B4C). The B4C sensor consists of a support for a sensor bar for the detection of local cranial bone deformations adapted with deformation sensors. The detection of these deformations is obtained by a cantilever bar modeled by finite element calculations. For this bar, voltage meters are attached for deformation detection. Noninvasive contact with the skull is obtained by adequate pressure directly into the scalp by means of a pin. Variations in ICP cause deformations in the cranial bone detected by the sensor bar. The device filters, amplifies, and scans the sensor signal and sends the data to a mobile device. The method is completely non-invasive and painless. In addition, it does not interfere with any routine monitoring.
Transcranial Doppler (TCD), because it is a technique for the study of CC influences on cerebrovascular hemodynamics and vice-versa, was used to associate the information obtained by the B4C sensor. The arteries of the right and left cerebral hemispheres and the brainstem were evaluated, with Doppler colored technique with low frequency probe (2MHz) every 1 mm of arterial extension, through the temporal, orbital, suboccipital, retromastoid and submandibular windows. Arteries analyzed: proximal segments of middle, anterior and posterior cerebral arteries, paraselar and supraclinoid carotid siphons, ophthalmic, vertebral and basilar. Hemodynamic parameters of interest were mean flow velocities, peak systolic velocities, final diastolic velocities and pulsatility indexes.
Data analysis methodology Data will be analyzed obtaining a correlation coefficient and predictive ability (ROC curve) acceptable between measurements performed with the noninvasive B4C technique compared to the clinical evaluation of the patient, TCD and other available physiological parameters. To meet the objectives and goals of the study, appropriate statistical techniques will be applied. All variables will be tested for normal distribution and appropriate statistical analysis. The normality of the distribution was verified by using the Kolmogorov-Smirnov or Shapiro-Wilk test. For the demographic and basic clinical variables, descriptive data analysis was used.
The automated Brain4care Analytics system will verify all collected data by the sensor. ICP pulse wave morphology parameters such as P2/P1 ratio (P2/P1 ratio and P1 and P2 classification: P1\> P2 or P2\> P1) and time to peak (TTP) were obtained and stored for analysis. The calculations are performed using the mean pulse of the ICP, calculated by identifying and extracting all ICP pulses, excluding possible artifacts. The mean pulse was used to calculate the amplitudes of the P1 and P2 peaks, which were obtained by detecting the highest point of these peaks and subtracting the base value of the ICP pulse. The P2/P1 ratio was calculated by dividing the amplitude of these two points. TTP was calculated by means of standardization of the mean pulse and temporal measurement from the beginning of the pulse to its highest point (greatest amplitude).
By TCD, the first signal and elevation of ICP and CC impairment is the elevation of the pulsatility index, calculated by the following formula: PI=Sv-Dv/Mv (Sv: systolic velocity, Dv: diastolic velocity and Mv: mean flow velocity), since excluded confounding factors such as distal stenosis of the cranial arteries, use of barbiturate in infusion pump, dehydration, sepsis, aortic or microvascular cerebral valve failure (microangiopathy) for example. Later, in situations of more severe intracranial hypertension, tissue tension is translated by TCD as sharper systolic peaks, observed by the suppression of the second systolic peak (sys2).
Conditions
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Study Design
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COHORT
PROSPECTIVE
Interventions
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Cerebral compliance and hemodynamics monitoring
Noninvasive devices are been used to assess cerebral circulation and compliance.
Eligibility Criteria
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Inclusion Criteria
Exclusion Criteria
* patients without temporal acoustic window for TCD assessment,
* patients unable to undergo monitoring with the NICC sensor due to lesions and/or skin infections in the sensor application region,
* patients with head circumference smaller than 47 cm.
1 Year
ALL
No
Sponsors
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University of Sao Paulo
OTHER
Responsible Party
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Sergio Brasil, MD
Principal investigator
Locations
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Hospital das Clínicas da Faculdade de Medicina da USP.
São Paulo, , Brazil
Countries
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References
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Li YC, Bai WZ, Hashikawa T. The neuroinvasive potential of SARS-CoV2 may play a role in the respiratory failure of COVID-19 patients. J Med Virol. 2020 Jun;92(6):552-555. doi: 10.1002/jmv.25728. Epub 2020 Mar 11.
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 Apr 1;11(7):995-998. doi: 10.1021/acschemneuro.0c00122. Epub 2020 Mar 13.
Needham EJ, Chou SH, Coles AJ, Menon DK. Neurological Implications of COVID-19 Infections. Neurocrit Care. 2020 Jun;32(3):667-671. doi: 10.1007/s12028-020-00978-4.
Bridwell R, Long B, Gottlieb M. Neurologic complications of COVID-19. Am J Emerg Med. 2020 Jul;38(7):1549.e3-1549.e7. doi: 10.1016/j.ajem.2020.05.024. Epub 2020 May 16.
Niazkar HR, Zibaee B, Nasimi A, Bahri N. The neurological manifestations of COVID-19: a review article. Neurol Sci. 2020 Jul;41(7):1667-1671. doi: 10.1007/s10072-020-04486-3. Epub 2020 Jun 1.
Wu Y, Xu X, Chen Z, Duan J, Hashimoto K, Yang L, Liu C, Yang C. Nervous system involvement after infection with COVID-19 and other coronaviruses. Brain Behav Immun. 2020 Jul;87:18-22. doi: 10.1016/j.bbi.2020.03.031. Epub 2020 Mar 30.
Delanghe JR, Speeckaert MM, De Buyzere ML. The host's angiotensin-converting enzyme polymorphism may explain epidemiological findings in COVID-19 infections. Clin Chim Acta. 2020 Jun;505:192-193. doi: 10.1016/j.cca.2020.03.031. Epub 2020 Mar 24. No abstract available.
Kochanek PM, Tasker RC, Carney N, Totten AM, Adelson PD, Selden NR, Davis-O'Reilly C, Hart EL, Bell MJ, Bratton SL, Grant GA, Kissoon N, Reuter-Rice KE, Vavilala MS, Wainwright MS. Guidelines for the Management of Pediatric Severe Traumatic Brain Injury, Third Edition: Update of the Brain Trauma Foundation Guidelines, Executive Summary. Neurosurgery. 2019 Jun 1;84(6):1169-1178. doi: 10.1093/neuros/nyz051.
Frigieri G, Andrade RAP, Dias C, Spavieri DL Jr, Brunelli R, Cardim DA, Wang CC, Verzola RMM, Mascarenhas S. Analysis of a Non-invasive Intracranial Pressure Monitoring Method in Patients with Traumatic Brain Injury. Acta Neurochir Suppl. 2018;126:107-110. doi: 10.1007/978-3-319-65798-1_23.
Vilela GH, Cabella B, Mascarenhas S, Czosnyka M, Smielewski P, Dias C, Cardim DA, Mascarenhas YM, Wang CC, Andrade R, Tanaka K, Lopes LS, Colli BO. Validation of a New Minimally Invasive Intracranial Pressure Monitoring Method by Direct Comparison with an Invasive Technique. Acta Neurochir Suppl. 2016;122:97-100. doi: 10.1007/978-3-319-22533-3_19.
Cabella B, Vilela GH, Mascarenhas S, Czosnyka M, Smielewski P, Dias C, Cardim DA, Wang CC, Mascarenhas P, Andrade R, Tanaka K, Silva Lopes L, Colli BO. Validation of a New Noninvasive Intracranial Pressure Monitoring Method by Direct Comparison with an Invasive Technique. Acta Neurochir Suppl. 2016;122:93-6. doi: 10.1007/978-3-319-22533-3_18.
Schaafsma A. A new method for correcting middle cerebral artery flow velocity for age by calculating Z-scores. J Neurosci Methods. 2018 Sep 1;307:1-7. doi: 10.1016/j.jneumeth.2018.06.009. Epub 2018 Jun 18.
Schaafsma A. Improved parameterization of the transcranial Doppler signal. Ultrasound Med Biol. 2012 Aug;38(8):1451-9. doi: 10.1016/j.ultrasmedbio.2012.03.016. Epub 2012 May 12.
Other Identifiers
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31750820.1.0000.0068
Identifier Type: -
Identifier Source: org_study_id
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