Comparison of simultaneous continuous intracranial pressure (ICP) signals from a Codman and a Camino ICP sensor.
Simultaneous continuous intracranial pressure (ICP) signals from two different sensors were compared. Continuous ICP monitoring from two ICP sensors (i.e. Codman ICP MicroSensor; Johnson & Johnson, Raynham, MA and Camino OLM ICP; Camino Laboratories, San Diego, CA) placed within the brain parenchyma was performed in three patients within the intensive care unit (ICU) as part of routine management of severe subarachnoid hemorrhage. For each 6s time window mean ICP was computed, showing large differences in mean ICP values between the signals. Differences above 5 mmHg were observed in 13% of the 128,425 time windows derived from 214 h ICP recordings in these three patients. In one patient, mean ICP differed more than 10 mmHg in 23% of the time windows. Comparisons of 675,503 individual single pressure wave pairs of these 128,425 time windows revealed marginal differences in single wave amplitude (dP, i.e. pulse pressure) and latency (dT, i.e. rise time) values, suggesting that differences in mean ICP were caused by differences in baseline pressure. For the individual time windows were computed the mean wave amplitude and mean wave latency values according to a new algorithm. There were as well marginal differences between signals of mean wave amplitude and latency values. Thus, changes in baseline pressure affect mean ICP but not single pressure wave characteristics such as amplitude (dP) and (dT) latency values.
Eide
Per Kristian
PK
Department of Neurosurgery, The National Hospital (Rikshospitalet), 0027 Oslo, Norway. per.kristian.eide@rikshospitalet.no
D000465:Algorithms; D001696:Biomechanical Phenomena / Q000379:methods*; D001698:Biomedical Engineering / Q000379:methods*; D001921:Brain / Q000473:pathology*; D001930:Brain Injuries / Q000473:pathology; D006801:Humans; D007362:Intensive Care Units; D019586:Intracranial Hypertension / Q000473:pathology*; D007427:Intracranial Pressure; D008991:Monitoring, Physiologic; D011312:Pressure; D012815:Signal Processing, Computer-Assisted; D013997:Time Factors; D014160:Transducers, Pressure