Fortieth peer-reviewed paper published covering SI-Bone iFuse

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SI-Bone iFuse implants
SI-Bone iFuse implants

SI-Bone has announced the publication of the 40th peer-reviewed paper on sacroiliac joint fusion with its iFuse device. The paper shows a mean 3.7-year follow-up for minimally invasive sacroiliac joint fusion was associated with improved pain, low disability scores, improved ability to perform activities of daily living and low revision rates.

The study was a multicentre retrospective cohort study with a prospective evaluation component that included 107 patients at seven centres in the USA, each with a single surgeon.  SI joint diagnosis was determined at all sites on the basis of typical history, physical examination findings and a confirmatory diagnostic anaesthetic block of the sacroiliac joint producing acute pain relief of ≥50%. Mean sacroiliac joint pain at baseline was 7.5.  At mean follow-up of 3.7 years (range 3–4.7 years), the mean sacroiliac joint pain score was 2.6, a 4.8-point improvement. Mean Oswestry Disability Index at follow-up was 28.2.  Sacroiliac joint revision surgery was uncommon, occurring in 5 patients (4.7%), which is identical to previously reported 2-year results from the SIFI study.

“Results from this study with 3.7 years follow-up are consistent with previously reported prospective trials and demonstrate that iFuse provides a durable surgical solution for appropriately selected patients suffering from sacroiliac joint dysfunction due to sacroiliac joint disruption or degenerative sacroiliitis in real world practice settings,” says Donald Sachs, lead author on the paper.

“NASS has always been a champion of evidence-based medicine,” says Eric J Muehlbauer, executive director of the North American Spine Society (NASS).  “To best help patients who are coping with debilitating spine pain, including certain sacroiliac joint disorders, it is critical that we all continue to contribute to the growing body of scientific literature on diagnosis, treatment and prevention strategies.  We commend SI-Bone for its data-driven approach.”

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