Clinical trial NCT04664699: Randomized Control Trial to Compare Standard Monitoring and Plethysmographic Variability Index-Guided Fluid Therapy In 64 Severe Traumatic Brain Injury Patients, Aged 18 to 60 Years Old Undergoing Emergency Craniotomies
Official title: Comparison of Standard Monitoring and Plethysmographic Variability Index-Guided Fluid Therapy In Severe Traumatic Brain Injury Patients Scheduled for Emergency Craniotomies: A Randomised Control Trial
Study type: INTERVENTIONAL
Overall status: COMPLETED
Phase: NA
Conditions: Severe Traumatic Brain Injury
Keywords: Plethysmographic variability index
standard monitoring
emergency craniotomies
Lead sponsor: Universiti Sains Malaysia
Sponsor class: OTHER
First posted: 2020-12-11
Enrollment: 64
Sex: ALL
Minimum age (years): 18
Maximum age (years): 60
Standard ages: ADULT
Accepts healthy volunteers: no
Allocation: RANDOMIZED
Intervention model: PARALLEL
Intervention model description: This is a single centre, with equal randomisation, single blind, parallel group study conducted in Hospital Universiti Sains Malaysia
Primary purpose: SUPPORTIVE_CARE

Brief summary: This randomized control trial aims to assess if Plethysmographic Variability Index (PVI)-based therapy improves patient outcome in terms of reduced amount and type of fluid used, lower postoperative lactate levels, lesser increment in sodium and chloride levels, improvement of blood gases in term of pH and BE, and reduction in serum creatinine as compared to standard monitoring based therapy in patients with severe traumatic brain injury.

Detailed description: This is a single centre, with equal randomisation, single blind, parallel group study conducted in Hospital Universiti Sains Malaysia. The physician allocated to the standard monitoring or PVI group were aware of the allocated arm, wherelse the next of kin were blinded to the allocated arm.

This study took place in Hospital Universiti Sains Malaysia , Kubang Kerian , Kelantan from July 2019 Until October 2020. Patient who presented to emergency department HUSM diagnosed with severe traumatic brain injury based on a GCS ( Glasgow Coma Scale ≤ 8), Brain CT Scan finding (based on Marshall and Rotterdam scoring), and the SAPS (simplified acute physical injury) score and were planned for craniotomies were assessed for eligibility.

Randomisation sequence was already created using the online randomisation application. (www.randomizer.org), with a 1:1 allocation by the primary investigator. Once a patient with severe traumatic brain injury has been posted for an emergency craniotomy, a white envelope was given to the anesthetic medical officer, If the patient fulfils the eligibility criteria, and the next of kin have consented for recruitment to this study, a second sealed white envelope will be given to the anesthetic medical officer in charge, which contains data collection sheets and protocols. The envelope given was sequentially numbered and sealed , with the patients name, identity card, and date of enrolment written on it by the physician. These sealed white envelopes, with the PVI machine was kept in a locked cupboard in the Anesthesia department in Hospital Universiti Sains Malaysia, only accessible to the primary investigator.

Doctors in charge will be given a separate protocol for PVI based and Standard monitoring based which acts a a guide for fluid management in patients in from induction of anesthesia ( 0 H) and 24 hours post induction in the Intensive Care Unit (ICU) (24 H). Data was then collected by the principle investigator at the end of 24 hours, or reevaluated earlier if any adverse reaction was reported by the doctor in charge.

The sample size calculation was performed using Power and Sample Size Calculations System, . From the study by Tat in 2016, the standard deviation for amount of fluid used was 2637.45, with a mean difference of 1361.31. The α value is set at 0.05 and power of study at 80%. The sample size is calculated using t test. Adding a drop out rate of 10%, the number in each arm will be 34. All statistical analysis was performed using Statistical Package for the Social Science (SPSS) version 26. Results were presented as frequency (percentages) for descriptive data, mean ( standard deviation) for total fluids as well as mean (confidence interval) for laboratory parameters.

A total of 64 patient were deemed eligible. The demographic data in between groups were analyzed using descriptive analysis chi square test. Independent t-test was used to analyze the total volume and different types of fluid used. The difference in lactate, pH, BE, Sodium and Chloride- and Creatinine between groups was analysed using the Independent t-test.

Eligibility criteria: Inclusion Criteria:

* Patients who are between 18-60 years old
* ASA (American Society of Anaesthesiology)I and II
* Diagnosed with Severe Traumatic Brain Injury (based on a GCS ( Glasgow Coma Scale ≤ 8) , intubated and consented for neurosurgeries

Exclusion Criteria:

* Patients with serious cardiac arrhythmias
* Patients with peripheral artery disease
* Presence of renal or liver dysfunction
* Presence of concurrent thoracic injury requiring higher ventilator settings with tidal volume \> 10 ml/kg or PEEP \> 10
* Presence of extracranial major vascular injury ( upper limb, lower limb, intrathoracic or intrabdominal )
* Patients with no valid consent from next of kin or caretaker

Primary outcomes:
measure: Types and amounts of fluids used
timeFrame: 0 and 24 hours
Secondary outcomes:
measure: Blood lactate
timeFrame: 0 and 24 hours
measure: Sodium and chloride
timeFrame: 0 and 24 hours
measure: pH and base excess
timeFrame: 0 and 24 hours
measure: Creatinine
timeFrame: 0 and 24 hours
Other outcomes:
Locations:
city: Kota Bahru
country: Malaysia
facility: Hospital Universiti Sains Malaysia
state: Kelantan
Study officials:
References:
citation: Alvis-Miranda HR, Castellar-Leones SM, Moscote-Salazar LR. Intravenous Fluid Therapy in Traumatic Brain Injury and Decompressive Craniectomy. Bull Emerg Trauma. 2014 Jan;2(1):3-14.
citation: Pinsky MR, Payen D. Functional hemodynamic monitoring. Crit Care. 2005;9(6):566-72. doi: 10.1186/cc3927. Epub 2005 Nov 22.
citation: Guerin L, Monnet X, Teboul JL. Monitoring volume and fluid responsiveness: from static to dynamic indicators. Best Pract Res Clin Anaesthesiol. 2013 Jun;27(2):177-85. doi: 10.1016/j.bpa.2013.06.002.
citation: Forget P, Lois F, de Kock M. Goal-directed fluid management based on the pulse oximeter-derived pleth variability index reduces lactate levels and improves fluid management. Anesth Analg. 2010 Oct;111(4):910-4. doi: 10.1213/ANE.0b013e3181eb624f. Epub 2010 Aug 12.
citation: Yu Y, Dong J, Xu Z, Shen H, Zheng J. Pleth variability index-directed fluid management in abdominal surgery under combined general and epidural anesthesia. J Clin Monit Comput. 2015 Feb;29(1):47-52. doi: 10.1007/s10877-014-9567-5. Epub 2014 Feb 21.
citation: Demirel I, Bolat E, Altun AY, Ozdemir M, Bestas A. Efficacy of Goal-Directed Fluid Therapy via Pleth Variability Index During Laparoscopic Roux-en-Y Gastric Bypass Surgery in Morbidly Obese Patients. Obes Surg. 2018 Feb;28(2):358-363. doi: 10.1007/s11695-017-2840-1.
citation: Cesur S, Cardakozu T, Kus A, Turkyilmaz N, Yavuz O. Comparison of conventional fluid management with PVI-based goal-directed fluid management in elective colorectal surgery. J Clin Monit Comput. 2019 Apr;33(2):249-257. doi: 10.1007/s10877-018-0163-y. Epub 2018 Jun 14.
citation: Byon HJ, Lim CW, Lee JH, Park YH, Kim HS, Kim CS, Kim JT. Prediction of fluid responsiveness in mechanically ventilated children undergoing neurosurgery. Br J Anaesth. 2013 Apr;110(4):586-91. doi: 10.1093/bja/aes467. Epub 2012 Dec 18.
citation: Fischer MO, Lemoine S, Tavernier B, Bouchakour CE, Colas V, Houard M, Greub W, Daccache G, Hulet C, Compere V, Taing D, Lorne E, Parienti JJ, Hanouz JL; Optimization using the Pleth Variability Index (OPVI) Trial Group. Individualized Fluid Management Using the Pleth Variability Index: A Randomized Clinical Trial. Anesthesiology. 2020 Jul;133(1):31-40. doi: 10.1097/ALN.0000000000003260.
citation: Liu T, Xu C, Wang M, Niu Z, Qi D. Reliability of pleth variability index in predicting preload responsiveness of mechanically ventilated patients under various conditions: a systematic review and meta-analysis. BMC Anesthesiol. 2019 May 8;19(1):67. doi: 10.1186/s12871-019-0744-4.
citation: Biais M, Cottenceau V, Petit L, Masson F, Cochard JF, Sztark F. Impact of norepinephrine on the relationship between pleth variability index and pulse pressure variations in ICU adult patients. Crit Care. 2011 Jul 12;15(4):R168. doi: 10.1186/cc10310.
citation: Fischer MO, Pellissier A, Saplacan V, Gerard JL, Hanouz JL, Fellahi JL. Cephalic versus digital plethysmographic variability index measurement: a comparative pilot study in cardiac surgery patients. J Cardiothorac Vasc Anesth. 2014 Dec;28(6):1510-5. doi: 10.1053/j.jvca.2014.05.003. Epub 2014 Sep 26.
citation: Chu H, Wang Y, Sun Y, Wang G. Accuracy of pleth variability index to predict fluid responsiveness in mechanically ventilated patients: a systematic review and meta-analysis. J Clin Monit Comput. 2016 Jun;30(3):265-74. doi: 10.1007/s10877-015-9742-3. Epub 2015 Aug 5.
citation: Meng L, Yu W, Wang T, Zhang L, Heerdt PM, Gelb AW. Blood Pressure Targets in Perioperative Care. Hypertension. 2018 Oct;72(4):806-817. doi: 10.1161/HYPERTENSIONAHA.118.11688. No abstract available.
citation: Carney N, Totten AM, O'Reilly C, Ullman JS, Hawryluk GW, Bell MJ, Bratton SL, Chesnut R, Harris OA, Kissoon N, Rubiano AM, Shutter L, Tasker RC, Vavilala MS, Wilberger J, Wright DW, Ghajar J. Guidelines for the Management of Severe Traumatic Brain Injury, Fourth Edition. Neurosurgery. 2017 Jan 1;80(1):6-15. doi: 10.1227/NEU.0000000000001432.