title: Brain-stem auditory evoked responses as indicators of early brain insult.
abstract: The relationship between cranial ultrasonograms (SONOs) and brain-stem auditory evoked responses (BAERs) was evaluated in 2 independent samples of newborn infants at risk for brain injury (n = 113 and 203). Features of the BAER wave forms subjected to stepwise linear discriminant analysis formed the basis of an algorithm used to detect and follow early brain injury. Using this algorithm, information derived from BAERs reliably predicted SONO abnormalities at least 82.3% of the time in the initial study which was replicated with the second sample (77.3%). The wave I component latency (CL) and the wave III-V inter-peak latency interval (IPL) were independent of each other, and both contributed to a prediction of SONO abnormality. Possible mechanisms for these BAER results include compromise to the cochlear membrane or to the auditory nerve itself as well as prolongation of transmission in the brain-stem due to brain-stem hemorrhage, edema, or compression. Normative BAER values and non-linear regression functions for the wave I, III and V CLs, and the I-III, III-V, and I-V IPLs were calculated across age using data from 109 infants who demonstrated normal BAER patterns and had no history of SONO abnormalities. Our analyses indicate BAER techniques, where a single higher intensity is used to produce the BAER wave form, are both valid and efficient for use in the evaluation of early brain injury.
authors: Department of Pediatrics, Mount Sinai School of Medicine, New York, NY 10029.
authors: B Z
authors: BZ
authors: Karmel
authors: J M
authors: JM
authors: Gardner
authors: R A
authors: RA
authors: Zappulla
authors: C L
authors: CL
authors: Magnano
authors: E G
authors: EG
authors: Brown
mesh_terms: D001930:Brain Injuries / Q000175:diagnosis* / Q000503:physiopathology; D001933:Brain Stem / Q000503:physiopathology; D004569:Electroencephalography; D005072:Evoked Potentials, Auditory; D006801:Humans; D007223:Infant; D014463:Ultrasonography