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Cerebral Hypoperfusion at Transcranial Color-Coded Doppler.

Fondazione Policlinico Universitario Agostino Gemelli IRCCS · 2024
ClinicalTrials.gov · Datasets · License: Public Domain · 2024
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Background. Cerebral ischemia is a major secondary factor contributing to worsening outcomes in patients with acute brain injuries. Transcranial Color-Coded Doppler (TCCD) is a reliable method for evaluating cerebral perfusion and is recommended for use in emergency settings to reduce secondary injuries. However, there is no established treatment protocol for managing cerebral hypoperfusion as detected by TCCD. Objective. The primary objective of this study is to assess the efficacy of individual steps in a standardized treatment protocol to normalize TCCD parameters in patients with cerebral hypoperfusion. The secondary objective is to investigate the concordance between invasive intracranial pressure (ICP) measurements and those estimated through TCCD using the Czosnyka formula. Methods. This prospective multicenter observational study will enroll patients with acute brain injury admitted in emergency or intensive care settings. Inclusion criteria include age over 18, Glasgow Coma Scale \<9, and evidence of cerebral hypoperfusion based on TCCD performed on M1 tract of at least one middle cerebral artery. The hypoperfusion is defined as the concurrent presence of at least two of the following parameters: mean velocity below 30 cm/s, diastolic velocity below 20 cm/s, pulsatility index above 1.4. Patients will undergo a stepwise treatment approach involving normocapnia verification, autoregulation testing increasing mean arterial pressure by 10 mmHg, and hyperosmolar therapy. The effectiveness of each intervention will be assessed by TCCD readings. Endpoints. The primary endpoint is the percentage of patients who normalize cerebral perfusion parameters at each step of the protocol. The secondary endpoint is the concordance between invasive ICP measurements and those estimated through TCCD. Sample Size. The study aims to recruit 100 patients over 24 months. Data analysis will include descriptive statistics, with significant results considered at p \< 0.05.
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