Prioritization of Realignment Associated With Superior Clinical Outcomes for Cervical Deformity Patients.

OBJECTIVE: To prioritize the cervical parameter targets for alignment. METHODS: Included: cervical deformity (CD) patients (C2-7 Cobb angle \u3e 10°, cervical lordosis \u3e 10°, cervical sagittal vertical axis [cSVA] \u3e 4 cm, or chin-brow vertical angle \u3e 25°) with full baseline (BL) and 1-year (1Y) radiographic parameters and Neck Disability Index (NDI) scores; patients with cervical [C] or cervicothoracic [CT] Primary Driver Ames type. Patients with BL Ames classified as low CD for both parameters of cSVA ( \u3c 4 cm) and T1 slope minus cervical lordosis (TS-CL) ( \u3c 15°) were excluded. Patients assessed: meeting minimum clinically important differences (MCID) for NDI ( \u3c -15 ΔNDI). Ratios of correction were found for regional parameters categorized by primary Ames driver (C or CT). Decision tree analysis assessed cutoffs for differences associated with meeting NDI MCID at 1Y. RESULTS: Seventy-seven CD patients (mean age, 62.1 years; 64% female; body mass index, 28.8 kg/m2). Forty-one point six percent of patients met MCID for NDI. A backwards linear regression model including radiographic differences as predictors from BL to 1Y for meeting MCID for NDI demonstrated an R2 of 0.820 (p = 0.032) included TS-CL, cSVA, McGregor\u27s slope (MGS), C2 sacral slope, C2-T3 angle, C2-T3 SVA, cervical lordosis. By primary Ames driver, 67.5% of patients were C, and 32.5% CT. Ratios of change in predictors for MCID NDI patients for C and CT were not significant between the 2 groups (p \u3e 0.050). Decision tree analysis determined cutoffs for radiographic change, prioritizing in the following order: ≥ 42.5° C2-T3 angle, \u3e 35.4° cervical lordosis, \u3c -31.76° C2 slope, \u3c -11.57-mm cSVA, \u3c -2.16° MGS, \u3e -30.8-mm C2-T3 SVA, and ≤ -33.6° TS-CL. CONCLUSION: Certain ratios of correction of cervical parameters contribute to improving neck disability. Prioritizing these radiographic alignment parameters may help optimize patient-reported outcomes for patients undergoing CD surgery