BACKGROUND AND OBJECTIVE: Sacroiliac (SI) joint pain is a challenging condition characterized by limited treatment options. Recently, numerous studies have reported excellent intermediate-term outcomes after lateral-branch radiofrequency (RF) denervation, but these studies are characterized by wide variability in technique, selection criteria, and patient characteristics. The purpose of this study was to determine whether any demographic or clinical variables can be used to predict SI joint RF denervation outcome. METHODS: Seventy-seven patients with refractory, injection-confirmed SI joint pain underwent SI joint denervation at 2 academic institutions. A composite binary variable "successful" outcome was predefined as greater than 50% reduction in pain lasting at least 6 months coupled with a positive global perceived effect. Secondary outcome measures included Oswestry Disability Index scores, medication reduction, and retention on active duty for soldiers. Factors retrospectively evaluated for their association with outcome included demographic variables, duration of pain, opioid usage, pain referral pattern, physical examination signs, number of blocks and percentage of pain relief after SI joint injection, prognostic lateral-branch blocks, previous surgery, levels lesioned, RF technique, disability status, and coexisting medical conditions. RESULTS: Forty patients (52%) obtained a positive outcome. In multivariate analysis, preprocedure pain intensity, age older than 65 years, and pain radiating below the knee were significant predictors of failure. A trend was noted whereby patients receiving regular opioid therapy were more likely to experience a negative outcome. The use of cooled, rather than conventional RF, was associated with a higher percentage of positive outcomes. CONCLUSIONS: Whereas several factors were found to influence outcome, no single clinical variable reliably predicted treatment results. The use of more stringent selection criteria was not associated with better outcomes.
BACKGROUND AND OBJECTIVE:Sacroiliac (SI) joint pain is a challenging condition characterized by limited treatment options. Recently, numerous studies have reported excellent intermediate-term outcomes after lateral-branch radiofrequency (RF) denervation, but these studies are characterized by wide variability in technique, selection criteria, and patient characteristics. The purpose of this study was to determine whether any demographic or clinical variables can be used to predict SI joint RF denervation outcome. METHODS: Seventy-seven patients with refractory, injection-confirmed SI joint pain underwent SI joint denervation at 2 academic institutions. A composite binary variable "successful" outcome was predefined as greater than 50% reduction in pain lasting at least 6 months coupled with a positive global perceived effect. Secondary outcome measures included Oswestry Disability Index scores, medication reduction, and retention on active duty for soldiers. Factors retrospectively evaluated for their association with outcome included demographic variables, duration of pain, opioid usage, pain referral pattern, physical examination signs, number of blocks and percentage of pain relief after SI joint injection, prognostic lateral-branch blocks, previous surgery, levels lesioned, RF technique, disability status, and coexisting medical conditions. RESULTS: Forty patients (52%) obtained a positive outcome. In multivariate analysis, preprocedure pain intensity, age older than 65 years, and pain radiating below the knee were significant predictors of failure. A trend was noted whereby patients receiving regular opioid therapy were more likely to experience a negative outcome. The use of cooled, rather than conventional RF, was associated with a higher percentage of positive outcomes. CONCLUSIONS: Whereas several factors were found to influence outcome, no single clinical variable reliably predicted treatment results. The use of more stringent selection criteria was not associated with better outcomes.
Authors: Arthur Worthington; Philip Peng; Kevin Rod; Vera Bril; Jahan Tavakkoli Journal: IEEE J Transl Eng Health Med Date: 2016-09-07 Impact factor: 3.316
Authors: Robert W Hurley; Meredith C B Adams; Meredith Barad; Arun Bhaskar; Anuj Bhatia; Andrea Chadwick; Timothy R Deer; Jennifer Hah; W Michael Hooten; Narayan R Kissoon; David Wonhee Lee; Zachary Mccormick; Jee Youn Moon; Samer Narouze; David A Provenzano; Byron J Schneider; Maarten van Eerd; Jan Van Zundert; Mark S Wallace; Sara M Wilson; Zirong Zhao; Steven P Cohen Journal: Pain Med Date: 2021-11-26 Impact factor: 3.750
Authors: Robert W Hurley; Meredith C B Adams; Meredith Barad; Arun Bhaskar; Anuj Bhatia; Andrea Chadwick; Timothy R Deer; Jennifer Hah; W Michael Hooten; Narayan R Kissoon; David Wonhee Lee; Zachary Mccormick; Jee Youn Moon; Samer Narouze; David A Provenzano; Byron J Schneider; Maarten van Eerd; Jan Van Zundert; Mark S Wallace; Sara M Wilson; Zirong Zhao; Steven P Cohen Journal: Reg Anesth Pain Med Date: 2021-11-11 Impact factor: 6.288
Authors: Steven P Cohen; Arun Bhaskar; Anuj Bhatia; Asokumar Buvanendran; Tim Deer; Shuchita Garg; W Michael Hooten; Robert W Hurley; David J Kennedy; Brian C McLean; Jee Youn Moon; Samer Narouze; Sanjog Pangarkar; David Anthony Provenzano; Richard Rauck; B Todd Sitzman; Matthew Smuck; Jan van Zundert; Kevin Vorenkamp; Mark S Wallace; Zirong Zhao Journal: Reg Anesth Pain Med Date: 2020-04-03 Impact factor: 6.288