Sarcopenia Predicts Early Adjacent Segment Disease Development After Anterior and Oblique Lumbar Interbody Fusion

Operative Neurosurgery 29:667–677, 2025

his clinical study evaluates whether sarcopenia, measured by psoas-to-vertebral body morphometrics on preoperative MRI, predicts early adjacent segment disease (ASD) within three years after anterior or oblique lumbar interbody fusion (ALIF/OLIF). Retrospective analysis of 104 patients found sarcopenia strongly associated with ASD, with sarcopenic patients showing markedly higher ASD rates and greater muscle fat infiltration.

The paper reports that psoas area, P:VBR ratios, and age remained significant predictors on multivariate analysis, while spinopelvic parameters lost significance after adjustment. The authors propose routine preoperative morphometric screening to guide surgical planning, risk counseling, and targeted perioperative optimization for high-risk patients.

• Sarcopenia: Preoperative sarcopenia, defined by reduced psoas muscle area relative to vertebral body area, is a strong independent predictor of early adjacent segment disease (ASD) within 3 years after anterior or oblique lumbar interbody fusion (ALIF/OLIF) ().

• ASD Incidence: 24% of patients developed ASD within 3 years post-ALIF/OLIF; 84.21% of sarcopenic patients developed ASD compared to 10.59% of nonsarcopenic patients.

• Morphometric Assessment: Psoas:vertebral body ratio (P:VBR) at L4 on preoperative MRI provides a simple, objective screening tool for sarcopenia and ASD risk stratification.

• Spinopelvic Parameters: Postoperative pelvic tilt (PT) and pelvic incidence-lumbar lordosis (PI-LL) mismatch were associated with ASD in univariate analysis, but not after multivariate adjustment; sarcopenia remained the strongest predictor.

• Other Risk Factors: Older age, higher preoperative disability (ODI), more instrumented/interbody levels, and prior lumbar surgery also increased ASD risk, while gender, BMI, and comorbidities did not.

• Instrumentation vs. Stand-alone Cages: Patients with stand-alone ALIF/OLIF (no posterior instrumentation) had lower rates of ASD, possibly due to less mechanical stress on adjacent segments.

• Clinical Implications: Identifying sarcopenia preoperatively can inform surgical planning, patient counseling, and may guide targeted pre- and postoperative interventions to improve outcome.

• Future Directions: Further research is needed to determine if interventions like resistance training or dietary modification can reduce ASD risk in sarcopenic patients, and to establish standardized diagnostic criteria for sarcopenia in spine surgery.

Sarcopenia Predicts the Development of Early Adjacent Segment Disease After Transforaminal Lumbar Interbody Fusion

Neurosurgery 96:1044–1053, 2025

This study explores whether sarcopenia, measured by psoas morphometrics, predicts early adjacent segment disease (ASD) after transforaminal lumbar interbody fusion (TLIF). Results indicate that decreased psoas area and P:VBR are strong predictors of ASD within three years post-surgery, suggesting implications for surgical decision-making and patient counseling.

Sarcopenia predicts early adjacent segment disease (ASD) after transforaminal lumbar interbody fusion (TLIF) surgery, as shown by decreased psoas area and P:VBR ratios.

• A retrospective study of 109 patients found that 22 (20.2%) developed ASD within 3 years post-surgery.

Sarcopenic patients had significantly higher rates of ASD (83.33%) compared to nonsarcopenic patients (7.69%).

Older age, diabetes, and preoperative ODI are significant predictors of ASD.

• Sarcopenia is a stronger predictor of ASD than spinopelvic parameters like PT, LL, and PI-LL mismatch.

Identifying sarcopenic patients can guide surgical decisions and postoperative care to prevent ASD.

• The study suggests using psoas morphometrics as a simple tool to identify patients at risk for ASD.

• Further research is needed to validate findings and explore the role of sarcopenia in other surgical approaches.

Microsurgical clipping and endovascular management of unruptured anterior circulation aneurysms: how age, frailty, and comorbidity indexes influence outcomes

J Neurosurg 138:922–932, 2023

Frailty is one of the important factors in predicting the outcomes of surgery. Many surgical specialties have adopted a frailty assessment in the preoperative period for prognostication; however, there are limited data on the effects of frailty on the outcomes of cerebral aneurysms. The object of this study was to find the effect of frailty on the surgical outcomes of anterior circulation unruptured intracranial aneurysms (UIAs) and compare the frailty index with other comorbidity indexes.

METHODS A retrospective study was performed utilizing the National Inpatient Sample (NIS) database (2016–2018). The Hospital Frailty Risk Score (HFRS) was used to assess frailty. On the basis of the HFRS, the whole cohort was divided into low-risk (0–5), intermediate-risk (> 5 to 15), and high-risk (> 15) frailty groups. The analyzed outcomes were nonhome discharge, complication rate, extended length of stay, and in-hospital mortality.

RESULTS In total, 37,685 patients were included in the analysis, 5820 of whom had undergone open surgical clipping and 31,865 of whom had undergone endovascular management. Mean age was higher in the high-risk frailty group than in the low-risk group for both clipping (63 vs 55.4 years) and coiling (64.6 vs 57.9 years). The complication rate for open surgical clipping in the high-risk frailty group was 56.1% compared to 0.8% in the low-risk group. Similarly, for endovascular management, the complication rate was 60.6% in the high-risk group compared to 0.3% in the low-risk group. Nonhome discharges were more common in the high-risk group than in the low-risk group for both open clipping (87.8% vs 19.7%) and endovascular management (73.1% vs 4.4%). Mean hospital charges for clipping were $341,379 in the high-risk group compared to $116,892 in the low-risk group. Mean hospital charges for coiling were $392,861 in the high-risk frailty group and $125,336 in the low-risk group. Extended length of stay occurred more frequently in the highrisk frailty group than in the low-risk group for both clipping (82.9% vs 10.7%) and coiling (94.2% vs 12.7%). Frailty had higher area under the receiver operating characteristic curve values than those for other comorbidity indexes and age in predicting outcomes.

CONCLUSIONS Frailty affects surgical outcomes significantly and outperforms age and other comorbidity indexes in predicting outcome. It is imperative to include frailty assessment in preoperative planning.

Usefulness of Timed Up and Go (TUG) Test for Prediction of Adverse Outcomes in Patients Undergoing Thoracolumbar Spine Surgery

Neurosurgery 2019 DOI:10.1093/neuros/nyz480

Spine surgery rates have increased and the high postoperativemorbidity in these patients result in increased costs. Consequently, it is essential to identify patients at risk of adverse outcomes.

OBJECTIVE: To assess whether preoperative Timed Up and Go (TUG) test performance can predict high-grade postoperative complications.

METHODS: A prospective cohort study of patients undergoing elective thoracolumbar spine surgery in a tertiary care hospital between 2017 and 2018. Patients were assessed preoperatively and assigned to the slow-TUG group if unable to perform or test performance time was ≥18.4 s. Primary outcome: high-grade postoperative complications. Secondary outcomes: overall complications, length of stay (LOS), discharge to healthcare facility, readmission and emergency department (ED) presentation. Patients were followed-up until 6 wk after surgery.

RESULTS: One hundred three patients (mean age 62.95 ± 10.97 yr) were enrolled. Slow- TUG group were more likely to be classified as American Society of Anaesthesiology (ASA) class 3 (74.1% vs 47.4%, P=.02), non-independent (25.9% vs 5.3%, P<.01), and frail (92.3% vs 42.1%, P < .01). TUG was an independent predictor of high-grade complications (adjusted odds ratio (OR): 4.97, 95% CI: 1.18-22.47), overall complications (OR: 3.77, 95% CI: 1.33-11.81), discharge to a skilled-nursing facility (OR: 3.2, 95% CI: 1.00-10.70), readmission within 6 wk of surgery (OR: 9.14, 95% CI: 2.39-41.26) and LOS (adjusted incident rate ratio (IRR): 1.45, 95% CI: 1.16-1.80).

CONCLUSION: Compared to traditional risk factors, TUG is an important predictor of adverse postoperative outcomes and may be used preoperatively to identify high-risk thoracolumbar surgery patients.