When you need to dive in the deep end-Transplanting SARS-CoV-2 PCR+ recipients.

There is an ongoing need to understand whether transplantation during acute Coronavirus disease 2019 (COVID-19) can be performed safely, especially when urgent transplant is required. We collected retrospective data of all consecutive non-lung transplant recipients who had a positive SARS-CoV-2 polymerase chain reaction (PCR) on the day of planned deceased donor organ implantation. Data were collected from two large transplant centers from 01/01/2022 to 02/01/2023.

Application of phase spectral analysis for brain stem auditory evoked potential detection in normal subjects and patients with posterior fossa tumors.

A statistical test of the brain stem auditory-evoked potential (BAEP) detection is presented. The data were collected by averaging groups of 200 sweeps in order to obtain a set of group averages. The synchrony measure (SM), which represents the degree of reproducibility for group averages, is used as a statistical measure and is calculated from the phase variance for selected Fourier components of the group averages.

Normative values for brain stem auditory evoked potentials obtained by digital filtering and automatic peak detection.

A BAEP test which uses constant, high level click stimulation was developed for preliminary screening of patients with known or suspected problems in auditory information processing. Digital filtering and automatic peak detection were employed to aid in the analysis of BAEP component latencies. The results of 148 BAEP tests allowed us to select a set of normative measures: absolute peak latency, interpeak latency and left-right peak latency difference.

Application of digital filtering and automatic peak detection to brain stem auditory evoked potential.

A method to establish optimal parameters for automatic analysis of the BAEP was proposed. Spectral analysis of a set of BAEP trial averages yields criteria for the selection of the optimal bandwidth for digital filtering, establishes a lower limit for the number of averaged responses required for accurate determination of BAEP wave shape and permits accurate estimation of the amplitude and latency of BAEP peaks. Estimation of phase variance proved to be an effective procedure for selection of the optimal frequency band for automatic peak detection.