Adoption of enhanced surgical recovery (ESR) protocol for adult spinal deformity (ASD) surgery decreases in-hospital and 90-day post-operative opioid consumption

Utility of Risk Analysis Index for Assessing Morbidity in Patients Undergoing Posterior Spinal Fusion for Adult Spinal Deformity

BACKGROUND

This study investigates the predictive values of the Risk Analysis Index (RAI), the modified 5-item Frailty Index (mFI-5), and advanced age for predicting 30-day extended length of stay (LOS), 30-day complications, and readmissions in patients undergoing posterior spinal fusion (PSF) for adult spinal deformity (ASD).

METHODS

A retrospective cohort study was performed using the 2012-2021 American College of Surgeons National Surgical Quality Improvement Program database. Adults undergoing PSF for ASD were identified using Current Procedural Terminology and International Classification of Diseases codes. Using receiver operating characteristic and multivariable analyses, we compared the discriminative thresholds and independent associations of RAI, mFI-5, and greater patient age for extended LOS, 30-day complications, and readmissions.

RESULTS

In this cohort of 3814 patients, RAI identified 90.7% as Robust, 6.0% as Normal, and 3.3% as Frail/Very frail, while mFI-5 classified 47.1% as Robust, 37.5% as Normal, and 15.3% as Frail/Very frail. Multivariable analysis revealed both RAI and mFI-5 as significant predictors of extended LOS for Normal (RAI: P < 0.001; mFI-5: P = 0.013) and Frail/Very frail patients (RAI: P < 0.001; mFI-5: P = 0.003). Additionally, RAI was a significant predictor of 30-day complication risk for Normal patients (P = 0.005). Furthermore, mFI-5 was a significant predictor of 30-day readmission among Frail/Very frail patients (P = 0.002).

CONCLUSIONS

This study suggests that the utility of RAI and mFI-5 in predicting extended LOS patients undergoing PSF for ASD. RAI was found to be superior to mFI-5 for predicting 30-day readmissions, while mF-5 was greater for 30-day complications. These findings highlight the need for future studies to identify optimal methods in incorporating frailty assessments into preoperative surgical planning and patient discussions.

The Implementation of Enhanced Recovery After Spine Surgery in High and Low/Middle-income Countries: A Systematic Review and Meta-Analysis

In this review article, we explore the implementation and outcomes of enhanced recovery after spine surgery (spine ERAS) across different World Bank country-income levels. A systematic literature search was conducted through PubMed, Embase, Scopus, and CINAHL databases for articles on the implementation of spine ERAS in both adult and pediatric populations. Study characteristics, ERAS elements, and outcomes were analyzed and meta-analyses were performed for length of stay (LOS) and cost outcomes. The number of spine ERAS studies from low-middle-income countries (LMICs) increased since 2017, when the first spine ERAS implementation study was published. LMICs were more likely than high-income countries (HICs) to conduct studies on patients aged ≥18 years (odds ratio [OR], 6.00; 95% CI, 1.58-42.80), with sample sizes 51 to 100 (OR, 4.50; 95% CI, 1.21-22.90), and randomized controlled trials (OR, 7.25; 95% CI, 1.77-53.50). Preoperative optimization was more frequently implemented in LMICs than in HICs (OR, 2.14; 95% CI, 1.06-4.41), and operation time was more often studied in LMICs (OR 3.78; 95% CI, 1.77-8.35). Implementation of spine ERAS resulted in reductions in LOS in both LMIC (-2.06; 95% CI, -2.47 to -1.64 d) and HIC (-0.99; 95% CI, -1.28 to -0.70 d) hospitals. However, spine ERAS implementation did result in a significant reduction in costs. This review highlights the global landscape of ERAS implementation in spine surgery, demonstrating its effectiveness in reducing LOS across diverse settings. Further research with standardized reporting of ERAS elements and outcomes is warranted to explore the impact of spine ERAS on cost-effectiveness and other patient-centered outcomes.

Geriatric relationship with inpatient opioid consumption and hospital outcomes after open posterior spinal fusion for adult spine deformity

OBJECTIVE

As the population ages, increasing attention has been placed on identifying risk factors for poor surgical outcomes in the elderly. The aim of this study was to assess the impact of geriatric status on inpatient narcotic consumption and healthcare resource utilization in patients undergoing spinal fusion for adult spinal deformity.

METHODS

A retrospective study was performed using the Premier Healthcare Database (2016-2017). All adult patients who underwent thoracic/thoracolumbar fusion for spine deformity were identified using ICD-10-CM codes. Patients were categorized by age: 18-49 years-old (Young), 50-64 years-old (Older), and 65 + years-old (Geriatric). Patient demographics, comorbidities, hospital characteristics, intraoperative variables, adverse events (AEs), and healthcare resource utilization were assessed. Increased inpatient opioid use was categorized by MME (morphine milligram equivalents) admission consumption greater than the 75th percentile of the cohort. Multivariate logistic regression analysis was used to identify independent predictors of increased opioid usage, increased cost, and non-routine discharge (NRD).

RESULTS

Of the 1831 patients identified, 199 (10.9 %) were in the Young cohort, 599 (32.7 %) were in the Older cohort, and 1033 (56.4 %) were in the Geriatric cohort. The Geriatric cohort had a greater proportion of patients who were Non-Hispanic White (p < 0.001) and government-insured (p < 0.001). Comorbidities [CCI (p < 0.001)] and frailty [mFI-5 (p < 0.001)] increased with age. AEs occurred at similar rates between cohorts. A greater proportion of Older patients consumed an increased amount of MMEs during their hospital stay (Young: 24.9 % vs. Older: 33.1 % vs. Geriatric: 20.2 %, p < 0.001). A greater proportion of Geriatric patients experienced high costs (p = 0.018), longer LOS (p = 0.011), and 30-day readmission (p = 0.004) compared to other cohorts. A significantly greater proportion of the Geriatric cohort experienced NRD (Young: 25.3 % vs. Older: 58.8 % vs. Geriatric: 83.0 %, p < 0.001) On multivariate analysis, Geriatric age was independently associated with NRD (OR: 11.59, p < 0.001), and inversely associated with increased MME use (OR: 0.66, p = 0.038). However, Older age was independently associated with increased MME use (OR: 1.58, p = 0.026) and NRD (OR: 4.27, p < 0.001), though not increased cost (OR: 1.49, p = 0.077).

CONCLUSION

Our study demonstrates that geriatric patients may require fewer opioids than younger patients but require greater resource utilization on discharge. Additional studies investigating the impact of aging are necessary to improve patient risk stratification, healthcare delivery, and patient outcomes.