Predicting unconsciousness from a pediatric brain injury threshold.

نویسندگان

  • Qiliang Zhu
  • Michael Prange
  • Susan Margulies
چکیده

The objective of this study was to utilize tissue deformation thresholds associated with acute axonal injury in the immature brain to predict the duration of unconsciousness. Ten anesthetized 3- to 5-day-old piglets were subjected to nonimpact axial rotations (110-260 rad/s) producing graded injury, with periods of unconsciousness from 0 to 80 min. Coronal sections of the perfusion-fixed brain were immunostained with neurofilament antibody (NF-68) and examined microscopically to identify regions of swollen axons and terminal retraction balls. Each experiment was simulated with a finite element computational model of the piglet brain and the recorded head velocity traces to estimate the local tissue deformation (strain), the strain rate and their product. Using thresholds associated with 50, 80 and 90% probability of axonal injury, white matter regions experiencing suprathreshold responses were determined and expressed as a fraction of the total white matter volume. These volume fractions were then correlated with the duration of unconsciousness, assuming a linear relationship. The thresholds for 80 and 90% probability of predicting injury were found to correlate better with injury severity than those for 50%, and the product of strain and strain rate was the best predictor of injury severity (p=0.02). Predictive capacity of the linear relationship was confirmed with additional (n=13) animal experiments. We conclude that the suprathreshold injured volume can provide a satisfactory prediction of injury severity in the immature brain.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prediction of Clinically Important Traumatic Brain Injury in Pediatric Minor Head Trauma; proposing Pediatric Traumatic Brain Injury (PTBI) Prognostic Rule

Background: The present study assesses independent predictors of clinically important traumatic brain injury (ciTBI) in order to design a prognostic rule for identification of high risk children with mild head injury. Materials and Methods: In a retrospective cross-sectional study, 3,199 children with mild traumatic brain injury (TBI) brought to emergency ward of three hospitals in Tehran, Iran...

متن کامل

Validation of CRASH Model in Prediction of 14-Day Mortality and 6-Month Unfavourable Outcome of Pediatric Traumatic Brain Injury

Background: Value of Corticosteroid Randomisation after Significant Head Injury (CRASH) prognostic model has not been assessed in children with traumatic brain injury (TBI). This study is designed to examine the value of CRASH model in prediction of 14-day mortality and 6-month unfavourable outcome of pediatric TBI. Materials and Methods: </stron...

متن کامل

The Role of Rapid Shallow Breathing Index in Predicting Successful Weaning of Pediatric Patients with Respiratory Failure

Background About 40 to 60% of all patients admitted to pediatric intensive care unitsundergo mechanical ventilation and 10 to 20% will fail to be extubated. We aimed to determine the role of the rapid shallow breathing index (RSBI) in predicting successful weaning of pediatric patients with respiratory failure.   Materials and Methods: This cross-sectional study, was performed on 72 mechanical...

متن کامل

Regional neurodegeneration and gliosis are amplified by mild traumatic brain injury repeated at 24-hour intervals.

Most traumatic brain injuries (TBIs) that occur every year are classified as "mild." Individuals involved in high-risk activities may sustain multiple mild TBIs. We evaluated the acute physiologic and histopathologic consequences of mild TBI in a mouse model, comparing sham injury, single impact, or 5 impacts at a 24- or 48-hour interinjury interval. A single closed skull impact resulted in bil...

متن کامل

The value of serum level of S100B protein in predicting brain edema in children with diabetes ketoacidosis

Background and Objective: The S100B protein has recently been considered as an important marker for predicting severe brain damage; however, there has been very little evidence of increasing this marker in cerebral edema due to metabolic disorders such as diabetes ketoacidosis (DKA). This study was designed and performed to evaluate the prognostic role of S100B protein in predicting brain edema...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:
  • Developmental neuroscience

دوره 28 4-5  شماره 

صفحات  -

تاریخ انتشار 2006