Study Design. Retrospective review of a prospective database. Objective. The aim of this study was to evaluate postop clinical recovery among adult spinal deformity (ASD) patients between frailty states undergoing primary procedures Summary of Background Data. Frailty severity may be an important determinant for impaired recovery after corrective surgery. Methods. It included ASD patients with health-related quality of life (HRQLs) at baseline (BL), 1 year (1Y), and 3 years (3Y). Patients stratified by frailty by ASD-frailty index scale 0-1(no frailty: <0.3 [NF], mild: 0.3–0.5 [MF], severe: >0.5 [SF]). Demographics, alignment, and SRS-Schwab modifiers were assessed with χ 2/paired t tests to compare HRQLs: Scoliosis Research Society 22-question Questionnaire (SRS-22), Numeric Rating Scale (NRS) Back/Leg Pain, Oswestry Disability Index (ODI). Area-under-the-curve (AUC) method generated normalized HRQL scores at baseline (BL) and f/u intervals (1Y, 3Y). AUC was calculated for each f/u, and total area was divided by cumulative f/u, generating one number describing recovery (Integrated Health State [IHS]). Results. A total of 191 patients were included (59 years, 80% females). Breakdown of patients by frailty status: 43.6% NF, 40.8% MF, 15.6% SF. SF patients were older (P = 0.003), >body mass index (P = 0.002). MF and SF were significantly (P < 0.001) more malaligned at BL: pelvic tilt (NF: 21.6°; MF: 27.3°; SF: 22.1°), pelvic incidence and lumbar lordosis (7.4°, 21.2°, 19.7°), sagittal vertical axis (31 mm, 87 mm, 82 mm). By SRS-Schwab, NF were mostly minor (40%), and MF and SF markedly deformed (64%, 57%). Frailty groups exhibited BL to 3Y improvement in SRS-22, ODI, NRS Back/Leg (P < 0.001). After HRQL normalization, SF had improvement in SRS-22 at year 1 and year 3 (P < 0.001), and NRS Back at 1Y. 3Y IHS showed a significant difference in SRS-22 (NF: 1.2 vs. MF: 1.32 vs. SF: 1.69, P < 0.001) and NRS Back Pain (NF: 0.52, MF: 0.66, SF: 0.6, P = 0.025) between frailty groups. SF had more complications (79%). SF/marked deformity had larger invasiveness score (112) compared to MF/moderate deformity (86.2). Controlling for baseline deformity and invasiveness, SF showed more improvement in SRS-22 IHS (NF: 1.21, MF: 1.32, SF: 1.66, P < 0.001). Conclusion. Although all frailty groups exhibited improved postop disability/pain scores, SF patients recovered better in SRS-22 and NRS Back. Despite SF patients having more complications and larger invasiveness scores, they had overall better patient-reported outcomes, signifying that with frailty severity, patients have more room for improvement postop compared to BL quality of life. Level of Evidence: 3

CCA and CPT account for both cervical sagittal alignment and upper cervical compensation and can be utilized in assessment of cervical alignment.

Purpose: Intraoperative neurophysiological monitoring using somatosensory evoked potentials has been linked to a reduction in the incidence of neurological deficits during corrective surgery. Nonetheless, quantitative assessments of somatosensory evoked potential waveforms are often difficult to evaluate, because they are affected by anesthesia, injury, and noise. Here, we discuss a novel method that integrates somatosensory evoked potential signals into a single metric by calculating the area under the curve (AUC). Methodology: Thirty-two Sprague-Dawley rats underwent a laminectomy procedure and were then randomly assigned to a control group or to receive a contusive spinal cord injury ranging from 100 to 200 kilodynes. Neurophysiological testing was completed at various points perioperatively and postoperatively. Somatosensory evoked potential traces obtained were processed and the AUC metric was calculated. Results: The AUC significantly decreased to 11% of its baseline value after impact and remained at 25% baseline after 1 hour for the 200-kdyn cohort. Postimpact, AUC for the control versus the 150-kdyn and 200-kdyn groups, and the 150-kdyn versus 200-kdyn groups were significantly higher (P < 0.01, P < 0.001, and P < 0.05, respectively). Across days, the only significant parameter accounting for AUC variability was impact force, P < 0.0001 (subject parameters and number of days were not significant). Conclusions: The AUC metric can detect an iatrogenic contusive spinal cord injury immediately after its occurrence. Moreover, this metric can detect different iatrogenic injury impact force levels and identify injury in the postoperative period. The AUC integrates multiple Intraoperative neurophysiological monitoring measures into a single metric and thus has the potential to help clinicians and investigators evaluate spinal cord impact injury status.