Study design: Retrospective Cohort Study.
Objective: To identify risk factors for sacroiliac (SI) joint fusion after instrumented spinal fusion.
Methods: Patients were identified from the PearlDiver BiscayneBay database. Patients who underwent 1 level (CPT: 22840), 3-6 vertebral segment (22842), and 7+ vertebral segment spinal fusions (22843 and 22844) were identified. Patients were separated based on whether they received an SI joint fusion (27280 and 27279) after their spinal fusion. A univariate analysis and multivariate logistic regression was performed to evaluate the associations between patient factors and incidence of SI joint fusion.
Results: 549,625 patients who underwent posterior spinal fusions were identified, 6068 of whom underwent subsequent SI joint fusion (1.1%). Factors associated with future SI joint fusion included female gender, patients with obesity, fibromyalgia, diabetes, tobacco use, increased construct length, and prior SI joint injection. Prior SI joint injection had the highest odds ratio (OR: 8.70; 95% CI: 8.25-9.16; P < 0.001), followed by 7+ vertebral segment (OR: 2.17; 95% CI: 2.03-2.33; P < 0.001) and 3-6 vertebral segment fusion (OR: 1.49; 95% CI: 1.42-1.57; P < 0.001).
Conclusions: The highest predictor of requiring subsequent SI joint fusion is a prior SI joint injection. We also found that longer fusion constructs are associated with increased risk for future SI joint fusion.
Study design: Retrospective chart review.
Objectives: Transforaminal lumbar interbody fusion (TLIF) via open or minimally invasive (MI) techniques is commonly performed. Mobile applications for home-based therapy programs have grown in popularity. The purpose of this study was to (1) compare patient-reported outcome measures (PROMs) between postoperative patients who were the most and least compliant in using the mobile-based rehabilitation programs, (2) compare PROMs between open vs MI-TLIF cohorts, and (3) quantify overall compliance rates of home-based rehabilitation programs.
Methods: A retrospective chart review was performed. Patients were automatically enrolled in the rehabilitation program. Patient-Reported Outcomes Measurement Information System (PROMIS) and Oswestry Disability Index (ODI) scores were collected. Patients were separated into two study groups. Compliance rate was calculated as the difference between the number of active participants at the preoperative phase and final follow-up.
Results: 220 patients were included. Average follow-up time was 23.2 months. No difference was found in the change in (∆) PROMIS scores (P = 0.261) or ∆ODI scores (P = 0.690) regardless of patient compliance. No difference was found in outcome scores between open vs MI-TLIF techniques stratified by download compliance (downloaded, DL+; did not download, DL-) and phone reminder compliance (set reminder, R+; did not set reminder, R-) postoperatively. Both cohorts demonstrated clinical improvement exceeding minimal clinically important difference at final follow-up. Overall patient compliance was 71% at final postoperative follow up.
Conclusion: Despite high long-term compliance and rising popularity, mobile applications for home-based postoperative rehabilitation programs have low clinical utility in patients undergoing TLIF.
Study design: Retrospective Case control Study.
Objectives: To analyze the effect of diffuse idiopathic skeletal hyperostosis (DISH) on the occurrence of new thoracolumbar vertebral fragility fractures (VFFs) at different ages.
Methods: A retrospective analysis of 564 patients, including 189 patients who presented with new-onset thoracolumbar VFFs and 375 patients without spinal fractures, was performed in 4 age groups (50-59 years, 60-69 years, 70-79 years, and 80+ years). DISH was diagnosed based on computed tomography findings, and the Mata score of each disc space level combined with the maximum number of consecutive ossified segments (MNCOS) for each patient was recorded. Data were compared between the fracture and control groups, and odds ratios (ORs) were calculated for each of the 4 age groups using logistic regression.
Results: Both the crude ORs and the adjusted ORs of DISH for VFFs decreased with age, with statistical significance shown in the 50-59 years group (crude OR = 4.373, P = 0.017; adjusted OR = 7.111, P = 0.009) and the 80+ years group (crude OR = 0.462, P = 0.018; adjusted OR = 0.495, P = 0.045). The Mata scores and the MNCOS were significant risk factors for VFFs (P < 0.05) in the 50-59 years group, but they were protective factors in the 80+ years group, which was more significant in the T11/12-L5/S1 subsegment.
Conclusions: The effect of DISH on the occurrence of thoracolumbar VFFs is complex, and in patients above 50 years, it changes from a risk factor to a protective factor with increasing age.