Greenberg, Jacob K

OBJECTIVE Anterior cervical discectomy and fusion (ACDF) is an established treatment for cervical degenerative disc disease; however, the procedure can cause loss of cervical spine range of motion and potentially accelerate adjacent segment degeneration. Cervical disc arthroplasty (CDA) seeks to preserve native motion of the cervical spine, which can theoretically reduce the incidence of adjacent level degeneration. The literature regarding the relative efficacy of ACDF versus CDA remains inconsistent. In this study, the authors investigate the difference in outcomes between ACDF and CDA and identify factors contributing to the heterogeneity in the literature. METHODS The Ovid, Embase, Scopus, Cochrane, and ClinicalTrials.gov databases were systematically searched from inception to September 5, 2023, for randomized controlled trials (RCTs) comparing ACDF and CDA for degenerative disc disease. Studies were extracted by two authors and verified by a third. Random-effects meta-analysis was performed. The primary outcome was the difference in clinical outcomes between the two surgical groups. The secondary outcomes were the differences in radiological outcomes, surgical characteristics, complication rates, and hospital lengths of stay. The study was registered with the International Prospective Register of Systematic Reviews (PROSPERO; registration no. CRD42023469204) and adhered to the PRISMA guidelines. RESULTS From 584 articles uploaded to the Covidence platform for screening, 35 studies derived from 25 RCTs were included in this systematic review and meta-analysis. A total of 4530 patients were treated with ACDF (2081) and CDA (2449). Forty-six percent of the patients (2063) were male, and the mean age of the study cohort was 45 ± 3 years. In terms of the primary outcome, CDA showed higher rates of neurological and overall success. Regarding the secondary outcomes, CDA demonstrated a significantly lower rate of adjacent level disease, higher rate of heterotopic ossification, and greater range of motion at the operated level. Additionally, CDA had lower rates of reoperation but significantly longer operative times than ACDF. The inclusion of myelopathic patients and variations in follow-up between the surgical groups contributed to the observed effect heterogeneity among studies. CONCLUSIONS In this study, CDA showed comparable or potentially greater success in overall and neurological outcomes, along with a lower incidence of adjacent level degeneration and reoperation rates but longer operative times.

The integration of mobile health (mHealth) technologies is transforming neurosurgery. Despite its potential, many uses remain unrealized due to the unique challenges and complexity of developing mHealth technology. While neurosurgeons bring invaluable clinical expertise and an understanding of patient needs, the technical intricacies of application development often require collaboration with developers and computer scientists, a process that can feel unfamiliar and difficult to navigate. The aim of this article was to demystify mHealth development by providing a guide for neurosurgeons seeking to develop disease-specific mHealth applications. We outline this process using the development of SynapTrack, an mHealth tool designed to provide objective assessments of degenerative cervical myelopathy, a chronic condition caused by symptomatic compression of the cervical spinal cord. This article offers neurosurgeons concrete guidance on navigating key considerations such as design decisions, algorithm integration, database architecture, and data security. By grounding these insights with SynapTrack, this guide offers a transparent view into the development process and provides a practical framework that can be adapted to the development of other mHealth tools. The aim of this work was to foster interdisciplinary collaboration and enable neurosurgeons to develop mHealth applications tailored to the specific needs of their specialty.

BACKGROUND: Chronic entrapment neuropathy results in a clinical syndrome ranging from mild pain to debilitating atrophy. There remains a lack of objective metrics that quantify nerve dysfunction and guide surgical decision-making. Mechanomyography (MMG) reflects mechanical motor activity after stimulation of neuromuscular tissue and may indicate underlying nerve dysfunction. OBJECTIVE: To evaluate the role of MMG as a surgical adjunct in treating chronic entrapment neuropathies. METHODS: Patients 18 years or older with cubital tunnel syndrome (n = 8) and common peroneal neuropathy (n = 15) were enrolled. Surgical decompression of entrapped nerves was performed with intraoperative MMG of the hypothenar and tibialis anterior muscles. MMG stimulus thresholds (MMG-st) were correlated with compound muscle action potential (CMAP), motor nerve conduction velocity, baseline functional status, and clinical outcomes. RESULTS: After nerve decompression, MMG-st significantly reduced, the mean reduction of 0.5 mA (95% CI: 0.3-0.7, P < .001). On bivariate analysis, MMG-st exhibited significant negative correlation with common peroneal nerve CMAP ( P < .05), but no association with ulnar nerve CMAP and motor nerve conduction velocity. On preoperative electrodiagnosis, 60% of nerves had axonal loss and 40% had conduction block. The MMG-st was higher in the nerves with axonal loss as compared with the nerves with conduction block. MMG-st was negatively correlated with preoperative hand strength (grip/pinch) and foot-dorsiflexion/toe-extension strength ( P < .05). At the final visit, MMG-st significantly correlated with pain, PROMIS-10 physical function, and Oswestry Disability Index ( P < .05). CONCLUSION: MMG-st may serve as a surgical adjunct indicating axonal integrity in chronic entrapment neuropathies which may aid in clinical decision-making and prognostication of functional outcomes.

Mobile health (mHealth) technology has assumed a pervasive role in healthcare and society. By capturing real-time features related to spine health, mHealth assessments have the potential to transform multiple aspects of spine care. Yet mHealth applications may not be familiar to many spine surgeons and other spine clinicians. Consequently, the objective of this narrative review is to provide an overview of the technology, analytical considerations, and applications of mHealth tools for evaluating spine surgery patients. Reflecting their near-ubiquitous role in society, smartphones are the most commonly available form of mHealth technology and can provide measures related to activity, sleep, and even social interaction. By comparison, wearable devices can provide more detailed mobility and physiological measures, although capabilities vary substantially by device. To date, mHealth evaluations in spine surgery patients have focused on the use of activity measures, particularly step counts, in an attempt to objectively quantify spine health. However, the correlation between step counts and patient-reported disease severity is inconsistent, and further work is needed to define the mobility metrics most relevant to spine surgery patients. mHealth assessments may also support a variety of other applications that have been studied less frequently, including those that prevent postoperative complications, predict surgical outcomes, and serve as motivational aids to patients. These areas represent key opportunities for future investigations. To maximize the potential of mHealth evaluations, several barriers must be overcome, including technical challenges, privacy and regulatory concerns, and questions related to reimbursement. Despite those obstacles, mHealth technology has the potential to transform many aspects of spine surgery research and practice, and its applications will only continue to grow in the years ahead.