Recruitment

Recruitment Status
Active, not recruiting
Estimated Enrollment
Same as current

Summary

Conditions
  • Complication
  • Intraoperative Complications
  • Intraoperative Neurophysiological Monitoring
  • Postoperative Complications
Type
Observational
Design
Observational Model: CohortTime Perspective: Prospective

Participation Requirements

Age
Between 10 years and 125 years
Gender
Both males and females

Description

INTRODUCTION Intraoperative neuro-monitoring (IONM) is a 'SAT NAV' used by neurosurgeons to prevent injury to normal structures during brain and spinal surgery under anaesthesia. It involves the use of surface and implanted electrodes to observe spontaneous electrical activity of the brain or evoked...

INTRODUCTION Intraoperative neuro-monitoring (IONM) is a 'SAT NAV' used by neurosurgeons to prevent injury to normal structures during brain and spinal surgery under anaesthesia. It involves the use of surface and implanted electrodes to observe spontaneous electrical activity of the brain or evoked responses to an electrical stimulus (motor, visual or auditory). This requires major modifications to the anaesthetic that provides lighter planes of anaesthesia with no muscle relaxation inviting added risks and complications such as awareness, seizures and cardiac events. This cohort study over a period of one year will include a qualitative enquiry of patient experience and a quantitative evaluation of the immediate postoperative course and complications at 28 days and 1 year. It will explore the relatively unknown area of emotional experiences of participants under anaesthesia who undergo various types of neuro stimulation and related post-operative sequelae. The results are expected to assist improve patient experiences and outcomes. BACKGROUND AND RATIONALE Resections of brain tumours constitute a significant proportion of work in neurosurgery. One important aspect is minimizing injury to normal neural structures during this process to improve outcomes of such operations and reduce complications. This involves intraoperative neuro-monitoring (IONM). IONM uses surface and implanted electrodes to observe spontaneous electrical activity of the brain or evoked response to a motor, visual or auditory stimulus. It is now becoming common practice for neurosurgeons to use this tool during brain and spinal surgery to provide a real-time feedback under anaesthesia to help them minimise injury to critical and normal neural structures by 'mapping' normal from abnormal areas of the brain. IONM interpretation needs fulfilment of multiple preconditions and major modifications to the anaesthetic to reduce its inaccuracies. This invites added risks and complications such as awareness, seizures and cardiac events. A team approach is also crucial to obtain meaningful results. Therefore, the utility of this technique is still evolving based on personal experiences and perceptions and the understanding between the surgeons, anaesthetists and neurophysiologists. Although, benefits of IONM are obvious, data on associated post-operative morbidity and patient experience and complications are scarce. The data is also scarce on tumour recurrence or tumour behaviour following IONM guided neurosurgery. More precise excision may reduce tumour recurrence. On the other hand IONM related electrical stimulation may impose humoral effects on tumour behaviour. These aspects have little scientific exploration. There are anecdotal reports of recurrent seizures during IONM leading to cardiac events such as asystole, teeth grinding and damage and tongue injury in the absence of a 'bite block' and postoperative calf muscle necrosis necessitating fasciotomies. Neither of these is in the literature including the unorthodox effective treatments used such as pouring 'cold' saline on the surface of the brain to control seizures. The study will take place in a major neurosurgical centre in the UK that uses IONM. Therefore, the study population is vast for appropriate sampling and recruitment. STUDY DESIGN This is an observational cohort study based on data retrieved from clinical notes and direct patient interview in hospital. The qualitative enquiry will address emotional aspects and the process experience. The quantitative survey will investigate morbidity (post-operative recovery, complications) and outcomes including mortality at 28 days and 1-year follow-up. The eligible patients will be identified by the published elective neurosurgery lists and approached for informed consent before surgery at the time of preoperative assessment. The anaesthetist or the surgeon directly involved with his/her clinical care will first approach the patient and subsequently introduced to the medical student for post-operative data collection. Their demographic data, disease data, and neurological assessment scores will be obtained from medical records. Direct patient interviews will be carried out by the investigators postoperatively, using a structured open questionnaire format. This activity will merge with the postoperative clinical rounds where possible. All patients undergoing elective neurosurgery guided by IONM will be eligible for the study and recruited with informed consent. The exclusion criteria shall be aged less than 10 years, lack of informed consent and who are unable to communicate verbally. A convenient sample of 50 is a realistic number of patients who can be recruited within a 3-month period at this centre. However, the qualitative enquiry may be stopped at an earlier time if the data collected is felt to be at the saturation point by the investigators. The participants shall be followed up at 28 days and 1-year post surgery. Continuous data will be described and analysed based on their distribution, be it parametric or non-parametric. Dichotomous data will be described as number of patients/episodes and percentage.The patient experiences reported will be subjected to a thematic analysis following the principles of qualitative research grounded theory.

Tracking Information

NCT #
NCT04443465
Collaborators
Not Provided
Investigators
Principal Investigator: Chulananda Goonasekera, PhD Kings College Hospital NHS Trust, London