ABSTRACT
BACKGROUND: Circumferential lumbar spine fusions are extensive procedures that involve accessing the lumbar spine from multiple approaches. These surgeries often make postoperative pain control challenging, and efforts have been made to find alternative methods of analgesia that do not rely solely on opioids. The use of erector spinae plane (ESP) blocks has been found to be effective in controlling pain while decreasing narcotic requirements in patients undergoing thoracolumbar spine surgery. The purpose of this study is to evaluate the efficacy of ESP blocks for postoperative pain control and its effect on opioid consumption in patients undergoing circumferential lumbar spinal fusion. METHODS: A retrospective review was performed on patients undergoing 1- or 2-level elective anterior lumbar interbody fusion with open posterior decompression and posterolateral fusion. An analysis was performed to determine the effect of ESP blocks on hospital length of stay (LOS), pain scores using the visual analog scale, and opioid consumption using morphine milligram equivalents. RESULTS: 144 patients were included in the cohort analysis, of whom 36 patients received a preoperative ESP block and 108 did not. Demographic data, comorbidities, and number of levels fused were equally distributed between groups. Patients who received an ESP block had shorter LOS (3.0 vs 4.0 days, P = 0.005) and lower cumulative morphine milligram equivalent in the first 48 hours after surgery (123.7 vs 141.2, P = 0.05). Visual analog scale scores did not significantly differ between patients group except for on postoperative day 4 and at 12-month follow-up. CONCLUSIONS: The use of ESP blocks for patients undergoing 1- or 2-level circumferential fusion via an anterior lumbar interbody fusion with concomitant posterior open procedures was associated with decreased postoperative inpatient opioid requirements and LOS. This cohort study supports the growing body of evidence that ESP blocks are a useful adjunct for multimodal pain control. LEVEL OF EVIDENCE: 3 CLINICAL RELEVANCE: The data and results of this study provide clinical evidence supporting the use of ESP blocks in patients undergoing circumferential lumbar spine fusion procedures.
ABSTRACT
Purpose: To assess the discrepancy in graft diameter between double- and quadruple-folded hamstring autografts and the need for allograft augmentation to obtain an adequate graft diameter during arthroscopic anterior cruciate ligament reconstruction. Methods: All patients undergoing anterior cruciate ligament reconstruction with hamstring autograft between 2017 and 2021 at a single institution by a single surgeon were identified. The surgeon changed from double-folded hamstring autograft to quadruple-folded hamstring autograft within the study period. Results: A total of 191 patients were identified, of whom 57 received double-folded autografts and 134 quadruple-folded autografts. Patient characteristics between cohorts were similar. Median double-folded graft size (7.5 mm; interquartile range, 7.0-8.0 mm) was significantly thinner than the quadruple-folded graft size (9 mm; interquartile range, 8.5-9.5 mm, P = .001). Quadruple-folded autograft was less likely to require an allograft augmentation than the double-folded autograft (0.7% vs 26.3%) (odds ratio 0.02; 95% confidence interval 0.00-0.16; P < .001). Conclusions: Quadruple-folded hamstring autograft provides a larger graft diameter and reduced need for allograft augmentation. Level of Evidence: Level III, retrospective comparative study.
ABSTRACT
DESIGN: This was a narrative review. PURPOSE: Summarize artificial intelligence (AI) fundamentals as well as current and potential future uses in spine surgery. SUMMARY OF BACKGROUND DATA: Although considered futuristic, the field of AI has already had a profound impact on many industries, including health care. Its ability to recognize patterns and self-correct to improve over time mimics human cognitive function, but on a much larger scale. METHODS: Review of literature on AI fundamentals and uses in spine pathology. RESULTS: Machine learning (ML), a subset of AI, increases in hierarchy of complexity from classic ML to unsupervised ML to deep leaning, where Language Processing and Computer Vision are possible. AI-based tools have been developed to segment spinal structures, acquire basic spinal measurements, and even identify pathology such as tumor or degeneration. AI algorithms could have use in guiding clinical management through treatment selection, patient-specific prognostication, and even has the potential to power neuroprosthetic devices after spinal cord injury. CONCLUSION: While the use of AI has pitfalls and should be adopted with caution, future use is promising in the field of spine surgery and medicine as a whole. LEVEL OF EVIDENCE: Level IV.
