Key result
Heart rate variability analysis (SDNN) predicted autonomic dysreflexia events within 240 seconds before the first systolic blood pressure peak (sensitivity 0.667; specificity 0.875).
Why the study?
There are no established clinical practices allowing early detection of autonomic dysreflexia episodes triggered during medical procedures such as urodynamic assessments in spinal cord injury.
Can ultra-short-term heart rate variability (HRV) analysis predict the onset of autonomic dysreflexia during urodynamic assessments in patients with spinal cord injury?
Observational (n=24)
Can ultra-short-term heart rate variability (HRV) analysis predict the onset of autonomic dysreflexia during urodynamic assessments in patients with spinal cord injury?
Effect estimate: sensitivity 0.667, specificity 0.875
Ultra-short-term HRV analysis, specifically SDNN, can predict the onset of autonomic dysreflexia during urodynamic assessments in patients with spinal cord injury.
May enable preemptive autonomic dysreflexia management via HRV monitoring; hypothesis-generating and requires prospective validation.
Autonomic dysreflexia (AD) is a common autonomic complication of spinal cord injury (SCI) characterized by a sudden increase is blood pressure triggered by peripheral stimulation, such as bladder distention. Iatrogenic AD events often occur during various medical procedures including urodynamic assessments (UDSs) used to evaluate lower urinary tract (LUT) function in individuals with SCI. To date, there are no established clinical practices that would allow early detection of the development of episodes of AD. Heart rate variability (HRV) is a reliable and non-invasive metric for evaluating autonomic regulation of the cardiovascular system, with demonstrated utility in people with SCI during UDSs. We aim to provide a comprehensive evaluation of cardiovascular function during UDS-induced AD using ultra-short-term HRV analysis and identify changes in cardiovascular dynamics to predict the onset of AD. We assessed cardiovascular data in a total of 24 participants with sensorimotor complete SCI above T6 (17 males, 7 females, median age = 43 [36-50] years) who experienced AD during UDS. We used continuous electrocardiographic recordings to evaluate HRV in 60 sec overlapping windows during filling cystometry. The mean of "normal-to-normal" heartbeats (meanNN), its standard deviation (SDNN), and the root mean square of successive differences (RMSSD) were calculated and used in all subsequent analyses. We found that SDNN and RMSSD diminished during the early phase of bladder filling and sharply increased during AD. Using the lowest point of statistical variability in heart rate (i.e., SDNN), we were able to predict AD events within 240 sec (percentile 25-percentile 75: 172-339 sec) before the first systolic blood pressure peak after AD onset (sensitivity = 0.667; specificity = 0.875). Our results indicated a temporary increase in sympathetic activity during the early phase of bladder filling, which is followed by an increase in parasympathetic outflow to the heart when AD occurs. These findings have significant clinical implications that extend beyond the context of UDS and demonstrate the importance of identifying early changes in HRV in order to accurately predict AD episodes in people living with SCI.
No takes yet. Share an insight, caveat, or question.
Calderón‐Juárez et al. (2024) conducted an observational in Autonomic dysreflexia after spinal cord injury (n=24). Heart rate variability (HRV) analysis was evaluated on Prediction of autonomic dysreflexia events before the first systolic blood pressure peak (sensitivity 0.667, specificity 0.875). Heart rate variability analysis (SDNN) predicted autonomic dysreflexia events within 240 seconds before the first systolic blood pressure peak (sensitivity 0.667; specificity 0.875).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: