Bydon, Mohamad

Background: Postoperative failure to wean from ventilator support is associated with poor outcomes. This study characterizes patients requiring prolonged ventilation after head-and-neck reconstructive surgery and their outcomes. Methods : Patients who underwent head-and-neck reconstructive surgery were identified in the National Surgical Quality Improvement Program (NSQIP) database using CPT codes, ICD-10 codes, and free-text search. Hypothesis testing and regression analysis was utilized to compare patient characteristics and peri/postoperative complication rates between those with and without extended ventilation. Results : NSQIP contained 4661 patients who underwent free flap surgery; 180 experienced prolonged ventilation. Patients with primary oral cavity/sinonasal malignancy, preoperative ventilator dependence, and preoperative open wound/wound infection were more likely to experience prolonged ventilation. Prolonged ventilation patients experienced double the overall hospital stay, and increased rates of wound disruption, reoperation, and mortality. (p<0.05). Conclusion : Prolonged mechanical ventilation can significantly affect outcomes of free flap patients, including longer hospital stays, and higher 30-day mortality.

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.

Artificial intelligence (AI) is reshaping neurosurgery, offering unprecedented opportunities to enhance diagnostics, personalize treatment, and predict outcomes. At the heart of this transformation is the ability to effectively harness big data (BD) within the electronic medical record. Understanding these data structures is essential for making sense of the vast volumes of information generated in modern neurosurgical practice. Equally important are the machine learning (ML) models driving these advancements. From supervised learning and convolutional neural networks to generative AI, these tools are already making a mark in areas such as brain tumor segmentation and spine surgery outcome predictions. Their versatility highlights the potential of ML to complement clinical expertise and streamline decision-making in neurosurgery. However, adopting BD and ML also brings ethical challenges that cannot be ignored. Bias in algorithms threatens to reinforce health disparities, whereas concerns about data privacy demand vigilance in handling sensitive patient information. In addition, the question of liability looms large as ML increasingly influences clinical decisions. The aim of the study was to provide a roadmap for neurosurgeons navigating the evolving intersection of BD, ML, and ethical responsibility in the AI era.

Study design: Cohort study. Objective: This study aimed to evaluate influence of facet cysts on outcomes in patients undergoing lumbar decompression, and the influence of spinal fusion in patients undergoing decompression for facet cysts. Summary of Background Data: The impact of facet cysts on outcomes following lumbar spine surgery for degenerative spine disease remains unclear. Methods: Our multicenter institutional Neurosurgery Enterprise Registry was queried for patients who underwent lumbar decompression for degenerative spine conditions. Patients were divided into 2 cohorts: those with lumbar spine facet cysts and those without. Retrospective propensity-score matching was performed using 13 baseline variables to adjust for potential confounding factors, including age, sex, race, body mass index, and comorbidities. Secondary analysis comparing outcomes in patients with facet cysts cases undergoing decompression only versus those undergoing decompression and fusion was conducted. Results: A total of 6768 patients were reviewed, of which 188 (2.8%) had facet cysts, which underwent lumbar decompression during 2019–2023. After 3:1 matching, patients with facet cysts were compared with 564 patients without it. We found no significant differences in LOS, nonroutine discharge, postoperative complications, readmissions, and reoperations. In addition, in cases with facet cysts, decompression reported no increased risk for discharge opioids, readmissions, and reoperations, whereas fusion (in a separate cohort of 127 patients with facet cysts) was associated with an increased risk for nonroutine discharge (3.7% vs. 10.2%, P=0.021), complications (2.1% vs. 7.1%, P=0.042), and longer LOS (0.89±1.69 vs. 3.74±2.03 d, P<0.001) and operative time (138.78±62.99 vs. 273.07±111.51 min, P <0.001). Conclusions: The presence of facet cysts does not significantly affect outcomes of lumbar decompression for degenerative spine disease. Decompression alone for facet cysts can have better outcomes than decompression and fusion. The need for fusion should be weighted with its higher risks of complications, longer hospital stays, and nonroutine discharges.

BACKGROUND AND OBJECTIVES: Cervical spinal cord injury (SCI) can occur in the absence of easily identifiable osseoligamentous abnormalities, such as fractures and dislocations. The role of surgery in the management of this condition remains to be elucidated. METHODS: A comprehensive literature search was conducted to identify studies investigating outcomes after surgical management of cervical SCI without fracture and dislocation. Random-effects model meta-analysis was performed, with neurological improvement and time to surgery as primary end points. Subgroup analysis by time to surgery was performed to assess neurological improvement between patients undergoing surgery within 72 hours of injury vs later than 72 hours after injury. RESULTS: A total of 16 studies yielding 398 surgically treated patients with this condition were analyzed. The mean age at the time of injury was 52 ± 33.8 years, and male patients comprised 86.4% (95% CI: 76.6%-94.4%). The mean number of spinal cord segments affected was 2.5 ± 4. Injury was most commonly inflicted by falls (58.4%, 95% CI: 46.6%-69.9%), followed by motor vehicle accidents (30.5%, 95% CI: 23.4%-38%). Preoperatively, abnormal magnetic resonance imaging findings were observed in 125 patients (31.4%), and included: Intervertebral disk injury in 33 patients (26.4%); Cord edema in 23 patients (18.4%); Cord contusion in 22 patients (17.6%); Ligamentous injury in 6 patients (4.8%); and MRI abnormalities not specified in 41 patients (32.8%). Postoperatively, neurological improvement was noted in 62% (95% CI: 21.4%-95.2%) of patients who underwent surgery within 72 hours after injury, and in 71.1% (95% CI: 33%-98.1%) of the patients who underwent surgery later than 72 hours after injury ( P = .8). CONCLUSION: This meta-analysis demonstrated high rates of neurological improvement in patients treated surgically for cervical SCI without fracture and dislocation. No significant differences were noted between patients undergoing surgery acutely, within 72 hours after injury, and patients being treated surgically later in the course of cervical SCI without fracture and dislocation.

BACKGROUND AND OBJECTIVES: Healthcare policies have seen significant reforms, with a marked transition toward a patient-centered approach. This shift emphasizes the use of subjective patient-reported outcome measures as key metrics. However, these measures often face limitations, particularly in identifying clinically meaningful changes over time. To address this challenge, the concept of the minimal clinically important difference (MCID) was introduced. This study aims to evaluate the predictive effectiveness of relative change and its associated threshold, the minimal clinically important relative change (MCIRC), as a potential alternative to absolute differences and the MCID. METHODS: Data prospectively collected between 2006 and 2021 from the Swedish Spine Registry (Swespine) were analyzed. Patient-reported outcome measures included the Numeric Rating Scale (NRS) for neck and arm pain, the EQ5D index, EQ VAS, and the Neck Disability Index (NDI). Anchor-based methods were used to calculate the MCID and MCIRC. The predictive performance of absolute differences and relative changes was compared using the area under the receiver operating characteristic curve. RESULTS: 1756 patients were included. The selected MCID values were −3 for NRS neck pain intensity, −2 for arm pain intensity, 0.09 for the EQ5D index, 7 for EQ VAS, and −12 for NDI scores. For MCIRC, the chosen values were −47% for NRS neck pain intensity, −40% for arm pain intensity, 386% for the EQ5D index, 52% for EQ VAS, and −32% for NDI scores. On area under the ROC curve, relative change was superior for NRS neck and arm pain scores and NDI, while absolute difference was superior for EQ5D and EQ VAS scores. CONCLUSION: Relative change, along with its associated minimal clinically important value (MCIRC), proved to be a more suitable indicator of subjective satisfaction for NRS and NDI scores. By contrast, absolute differences and the MCID were better suited for evaluating the EQ5D index and EQ VAS scores.

Study Design Retrospective cohort analysis. Objective (1) Develop a novel computed tomography (CT)-based assessment of endplate bone density (EP-HU), (2) Determine if EP-HU was a stronger predictor than trabecular HU for subsidence after transforaminal lumbar interbody fusion (TLIF). Methods All adult patients who underwent single-level TLIF for lumbar degenerative conditions at an academic center between 2017-2022 were retrospectively identified. EP-HU was calculated from a 2 mm superior and inferior endplate region on the preoperative mid sagittal CT scans, accounting for surface undulations. Lumbar vertebral HUs (trabecular region) were determined in a standard fashion on axial CT. EP-HU + vertebral HU served as an aggregate bone quality metric. Interbody subsidence (≥2 mm threshold) was directly measured on the endplate-facing surface of 1 year CT scans. Univariate and multivariate analysis compared subsidence based on CT bone metrics. Results A total of 114 patients met the inclusion/exclusion criteria. There was no significant difference in fusion or reoperation rate based on subsidence occurrence. Both vertebral HU ( P = .012) and EP-HU ( P < .001) were associated with subsidence. In receiver operating curves, EP-HU was more optimal for subsidence prediction than vertebral HU, but the aggregate metric further optimized the specificity and total area under the curve. In a predictive logistic regression model EP-HU + vertebral HU (aggregate HU < 515 odds ratio: 7.82, P < .001) was a strong independent predictor of subsidence. Conclusion Preoperative calculation of EP-HUs in addition to vertebral HUs may enhance prediction of TLIF subsidence where aggregate endplate and vertebral HU < 515 can be used to identify high risk patients.

OBJECTIVE Coexisting medical conditions are increasingly prevalent in surgical populations. The impact of multiple comorbidities on patient-reported outcomes (PROs) and endotypes of frequently co-occurring conditions for cervical spondylotic myelopathy (CSM) remain unclear. This study explores whether CSM patients with multimorbidity have worse baseline and postoperative PROs and less functional improvement after surgery compared to those with few or no comorbidities. The authors also investigated whether distinct comorbidity endotypes exist among CSM surgical patients and whether they influence postoperative outcomes. METHODS The prospective Quality Outcomes Database (QOD) was used to assess patients undergoing surgery for CSM. Multimorbidity was defined as ≥ 2 chronic conditions, including diabetes, coronary artery disease, peripheral vascular disease, arthritis, chronic renal disease, chronic obstructive pulmonary disease, Parkinson’s disease, multiple sclerosis, depression, and anxiety. Baseline characteristics and 24-month PROs were assessed across multiple-comorbidity status, including modified Japanese Orthopaedic Association (mJOA), Neck Disability Index (NDI), visual analog scale for neck and arm pain, EQ-5D, and patient satisfaction scores. Clusters were identified from the full cohort using k-medoids, revealing subgroups with similar comorbidity endotypes. RESULTS The final cohort included 1141 CSM patients (83.1% reaching 24-month follow-up), with 761 (66.7%) having 0 or 1 comorbidity and 380 (33.3%) ≥ 2 comorbidities. The multimorbidity cohort was older (mean age 62.6 ± 11.2 vs 59.5 ± 12.0 years, p < 0.001), more likely to be female (52.9% vs 44.7%, p = 0.011), and had a higher BMI (mean 31.1 ± 6.7 vs 29.7 ± 6.2 kg/m 2 , p < 0.001). Multimorbidity patients exhibited worse mJOA, NDI, and EQ-5D scores at baseline and 24 months (p < 0.05). On multivariable analysis, the total number of comorbidities was not significantly associated with any PRO measures. Four comorbidity clusters were identified: low burden, arthritis, diabetes, and high burden. On one-way ANOVA, the baseline mJOA score was significantly different across clusters (p = 0.003). At 24 months, the mJOA score was significantly lower in the diabetes and high-burden endotypes. Twenty-four-month score change and minimal clinically important difference (MCID) achievement of all PROs remained similar across clusters (p > 0.05). CONCLUSIONS While patients with multimorbidity have worse baseline and postoperative PROs, they achieve similar functional and pain-related improvements following CSM surgery. Similarly, the comorbidity endotypes identified in this QOD cohort suggest that certain patterns of coexisting chronic conditions, such as overlapping diabetes and arthritis, are associated with different levels of disability but may not diminish the effectiveness of surgical intervention.

OBJECTIVE The aim of this study was to evaluate mortality and progression outcomes in patients undergoing stereotactic radiosurgery (SRS) for breast cancer brain metastases and to identify associated risk factors using a national quality registry. METHODS The NeuroPoint Alliance (NPA) SRS Registry was employed for this study, which conducted prospective enrollment of patients undergoing SRS at 16 participating centers from 2017 to 2024. Outcomes of interest included the post-SRS EQ-5D score change, overall survival, local progression, out-of-field progression, and overall intracranial progression. For all time-to-event analyses, Kaplan-Meier curves and multivariable Cox regressions with hazard ratios were used. RESULTS A total of 138 patients (127 female, mean age 59.8 years) were identified; 46.4% had a single lesion, 42.0% had 2–4 lesions, and 11.6% had ≥ 5 lesions, while 87.0% had a Karnofsky Performance Status (KPS) score between 80 and 100. The median overall survival was 17.9 months, and independent predictors of all-cause mortality included a KPS score ≤ 90 (HR 6.73) and diabetes mellitus (HR 3.35). The median time to local progression was 19.8 months. More than 5 lesions at baseline (HR 9.03) and a marginal dose ≤ 17.6 Gy (HR 8.00) were predictive of local recurrence. The median was not reached for out-of-field progression, and predictors included ≥ 2 lesions at the time of SRS (HR 3.20) and a marginal dose ≤ 17.6 Gy (HR 4.61). At the final follow-up assessment, 17.1% of patients experienced no change according to the EQ-5D, while 34.3% had improvement, 11.4% had mixed results, and 37.1% had worsened health. In the multivariable linear regression model, pre-SRS resection (r = 1.92) and baseline EQ-5D score (r = 1.29) were statistically significant predictors of quality of life at the final follow-up assessment. CONCLUSIONS Using real-world data from the NPA SRS Registry, this study demonstrated comparable outcomes in patients who underwent SRS for breast cancer brain metastases compared with those of previous literature. The number of lesions at the time of SRS and the marginal dose were independent risk factors for local recurrence, out-of-field progression, and overall intracranial progression. Pre-SRS resection and baseline EQ-5D score were independent predictors of quality of life following SRS.

OBJECTIVE The purpose of this study was to identify risk factors for mechanical complications following complex spinal reconstruction for spondylectomy of primary spinal column tumors. METHODS A retrospective chart review identified patients treated with spondylectomy for primary spinal column tumors in the thoracic or lumbar spine followed by posterior instrumentation and anterior column reconstruction. Variables collected included basic demographics, smoking status, chronic steroid use, frailty (Charlson Comorbidity Index), extent of resection, Weinstein-Boriani-Biagini classification, tumor volume, Spine Instability Neoplastic Score, anterior column reconstruction and fixation techniques, rod characteristics, Hounsfield units (HUs), and neoadjuvant/adjuvant chemoradiation. RESULTS Twenty-five patients were included (14 men, 11 women) with an average (± SD) age of 45 ± 18 years, BMI of 28 ± 5.7, and follow-up of 6.0 ± 6.2 years. Primary spinal column tumor pathology included chordoma (40%), chondrosarcoma (16%), giant cell tumor (16%), osteosarcoma (16%), osteoblastoma (8%), and aneurysmal bone cyst (4%). Six patients (24%) experienced mechanical complications, including rod fractures (n = 5) and distal junctional failure (n = 1). Of the 6 patients with mechanical complications, 4 (67%) underwent reoperation. The length of follow-up was the only statistically significant risk factor for patients with mechanical complications (average 11 years) compared to those without complications (average 4.4 years, p = 0.047). Average HUs were 144 for mechanical complication patients versus 180 for those without (p = 0.08). Anterior column reconstruction materials included a titanium cage (13 patients, 3 failures), structural allograft (6 patients, 2 failures), vascularized fibular strut autograft (6 patients, no failures), nonvascularized structural autograft (5 patients, 1 failure), vascularized rib autograft (5 patients, 2 failures), and a polyetheretherketone cage (2 patients, no failures). The vascularized fibular strut autograft had a 0% mechanical failure rate, but this did not reach statistical significance (p = 0.28). Twelve patients (48%) had anterior fixation placed, with a 17% rate of mechanical complications (p = 0.65). Five patients (20%) had > 2-rod constructs, with a 20% mechanical complication rate (p = 0.99). CONCLUSIONS Reconstruction following primary spinal column tumor resection is a significant challenge, as evident by a high rate of mechanical complications and instrumentation failure. Future studies are needed with larger sample sizes to identify techniques that may mitigate the risk of failure.