Background: Congenital cervical stenosis (CCS) is a rare condition involving a narrowed spinal canal due to developmental anomalies. CCS heightens the risk of neurologic deficits and acute spinal cord injury posttrauma, influencing return-to-play decisions for contact athletes. Additionally, CCS patients are prone to cervical myelopathy as degenerative changes progress with age. Limited evidence-based literature exists addressing the epidemiology of CCS, including the effects of race.
Purpose: To investigate the anatomical differences and prevalence of CCS as it pertains to race and ethnicity.
Study design: Single center retrospective cross-sectional study.
Patient sample: A total of 343 patients with cervicalgia between the years of 1999 and 2023.
Outcome measures: Radiographic measurements of anatomical parameters were collected and CCS was defined as a sagittal canal diameter (SCD) of less than 10 mm at 2 or more vertebral levels (C3-7) at the pedicle.
Methods: We screened 5,395 cervical MRIs from a single institution. Exclusion criteria included patients under 18 and over 50 years, prior cervical spine surgery, congenital fusions, spinal malignancy, or active smoking history. For each patient, axial measurements were taken at each level, including coronal vertebral body length, anteroposterior vertebral body length, pedicle width, pedicle length, laminar length, anteroposterior lateral mass length, posterior canal distance, apex-to-vertebral body, lamina-disc angle (LDA), lamina-pedicle angle, and anteroposterior spinal cord diameter.
Results: CCS prevalence varied significantly among ethnic groups; Black (39.3%), Asian (33.6%), and Hispanic (22%) patients demonstrated significantly higher CCS rates than White patients (7.5%) (x2 [3, N=343] = 30.04, p<.05). Blacks and Asians showed consistently smaller SCDs at all pedicle levels compared to Whites, who had the largest SCDs overall (p<.001). Average SCDs were 11.4 mm (White), 10.4 mm (Black), 10.5 mm (Asian), and 11 mm (Hispanic). Additionally, LDAs were larger in Asians, Blacks, and Hispanics compared to Whites, leading to a significantly decreased cross-sectional canal area (p<.001).
Conclusions: Our study indicates a statistically significant correlation between race/ethnicity and CCS prevalence. Black and Asian patients had the highest CCS rates, smallest SCDs, and largest LDAs. These anatomical differences may predispose these subjects to the development of cervical myelopathy compared to those with normal spinal canal diameters. Increased knowledge base of the epidemiology of this condition may lead to personalized clinical management and possibly early intervention to prevent spinal cord injuries in these patients.
Background: Widespread racial, gender-related, socioeconomic and insurance-related disparities have been widely implicated in the utilization of new and improved surgical techniques including various aspects spinal surgery. A comprehensive analysis of such disparities is lacking for motion-preserving techniques in cervical spine surgery.
Purpose: To explore the disparities in resource utilization of motion-sparing technology in cervical spine surgery.
Study design/ setting: Retrospective review of large database PATIENT SAMPLE: NSQIP® database from 2010 to 2021 and PearlDiver® database from 2010 to 2022 were queried. CPT codes for cervical disc arthroplasty (CDA), and anterior cervical discectomy and fusion (ACDF) were utilized to isolate the case records (Table 1 and 3).
Outcome measures: Preoperative clinical, racial, and gender data were investigated utilizing NSQIP®. PearlDiver® was used for area-level family income, education, insurance status and unemployment.
Methods: Chi-square, Kruskal-Wallis and logistic regression were used for univariable categorical, continuous and multivariable analyses, respectively.
Results: A total of 5,912 and 32,625 CDA cases and 69,701 and 526,851 ACDF cases were isolated from NSQIP® and PearlDiver®, respectively. 'Younger' age, 'Asian Pacific Islander' race and elective surgery (p<.001), were associated with undergoing CDA in NSQIP® database. Presence of Type 1 diabetes, smoking and hypertension (HTN) (p<.001) were associated with undergoing ACDF in NSQIP®. PearlDiver® database showed 'Younger' age, higher area-level 'Family Income', and a higher mean percent of patients with 'private health insurance' (p<.001) were associated with undergoing CDA. Higher area level unemployment was associated with ACDF.
Conclusion: Wide spread racial, gender-related, and socioeconomic disparities have been observed. Identification of these disparities is sentinel for implication of change in health-care policy mitigating issues such as underinsurance leading to establishment of health equity.