Autonomic dysreflexia (AD) is a life-threatening emergency in individuals after acute or chronic spinal cord injury (SCI) at cervical or high-thoracic segments and is usually characterized by episodes of persistent hypertension and bradycardia1. AD is principally caused by disruption of descending spinal pathways that usually provide input from supraspinal centers to the spinal sympathetic preganglionic neurons that control sympathetic activity and vascular tone1-4. AD episodes are characterized by a spike in systolic blood pressure (SBP) up to 300 mmHg and if left untreated may lead to seizures, intracranial hemorrhage, myocardial infarction, and even death5-8. A variety of noxious and non-noxious stimuli act as a trigger of AD, including bowel and bladder distension, spasms, pressure sores, urinary bladder catheterization or iatrogenic procedures9-12.
The temporal development of AD in response to SCI has been investigated in both human9 and animal models13,14. Typically these studies have used an ‘induced AD’ method (i.e., urodynamics, penile vibrostimulations in humans or colorectal distension in animals) to determine the temporal development of AD. Such an approach is limited by the need for repeated assessments at isolated time-points that may preclude an accurate determination of the temporal development of AD. The use of 24-hr blood pressure monitoring in humans allows serial blood pressure measurements to be made at pre-determined intervals. This technique has recently been employed to monitor spontaneously occurring AD in patients with chronic SCI. In animal models, solid-state pressure transducers are being increasingly used to chronically monitor beat-by-beat arterial blood pressure. Recently, Rabchesvky et al. (2012), developed an algorithm that extracted one second averages of mean arterial pressure (MAP) and compared against a moving average threshold15. Spontaneous AD events were characterized based on MAP peaks that are 10 mmHg or greater above threshold concurrently with a HR drop of 10 bpm or greater.
Here a novel JAVA software that has a built in AD Detection Algorithm is presented. This algorithm works by detecting pre-determined patterns in arterial blood pressure (ABP) and heart rate (HR) that are indicative of a spontaneously occurring AD event. The user is able to manually adjust all input variables to the software such that the ‘detection algorithm’ can be easily customized to the specific parameters of interest. The software is also able to dichotomize ABP and HR into a given epoch such that diurnal rhythmicity of hemodynamic parameters can be analyzed16. In the present manuscript, a detailed explanation is given of the surgical technique that is used to implant the telemetry devices and conduct the SCI surgery. Examples are also provided with respect to the post-processing capabilities of the AD Detection software and how cardiovascular function is altered post-SCI. For comparative purposes, the methodology and results obtained from a method of induced AD known as colorectal distension (CRD) is also illustrated.