Prospective Evaluation of the Optimal SCS Trial Length
Prospective Evaluation of the Optimal SCS Trial Length
This study aims to determine the ideal length of a spinal cord stimulation (SCS) trial period by analyzing daily pain scores, patient satisfaction, and when patients decide whether to proceed with permanent implantation. The primary goal is to identify the shortest trial duration that can reliably predict SCS success. A secondary goal is to compare SCS trial outcomes with patient-reported health measures (PROMIS domains) and recommendations from the SCS E-Health Tool to evaluate how well these tools predict treatment candidacy and outcomes.
Spinal cord stimulation (SCS) is an established treatment for chronic pain and is typically preceded by a temporary trial period to evaluate treatment effectiveness before permanent implantation. Standard SCS trial durations generally range from 3 to 7 days, although some trials may be extended up to 15 days. These timeframes are largely intended to minimize the risk of epidural infection associated with prolonged epidural lead placement. However, there is limited evidence defining the optimal duration of an SCS trial, raising the possibility that many trials may be longer than clinically necessary (1).
Reducing the duration of SCS trials could provide several clinical benefits. Shorter trials may decrease the risk of infection, reduce the need for prophylactic antibiotic exposure, and minimize the length of time patients must interrupt antiplatelet or anticoagulant therapy when applicable. Determining the shortest trial duration that reliably predicts treatment success could improve patient safety while streamlining clinical care.
This study aims to identify the optimal duration of the SCS trial by evaluating daily pain scores, patient satisfaction, and the timing of patients' decisions to proceed with permanent SCS implantation. The primary objective is to determine the minimum number of trial days required to accurately predict SCS trial success. The secondary objective is to evaluate the association between SCS trial outcomes and patient-reported outcome measures, including PROMIS domain scores and candidacy recommendations generated by the SCS E-Health Tool, to assess their ability to predict SCS candidacy and treatment outcomes.
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Exclusion Criteria:
Nasir.Hussain@osumc.edu6142933559