Preoperative Optimization for Adult Spinal Deformity Surgery: A Systematic Review

What if You Could Treat the Same Patient Again, Would You do the Exact Same Spine Surgery? A Multi-Surgeon Survey of Their Own Revisions

Study DesignCase-based survey.ObjectivesThis study aims to investigate what a group of surgeons learned from their own revisions, and what they would do differently today.MethodsA multi-center database of ASD surgical patients was queried to identify those with at least 2 surgical procedures performed by the same surgeon between 2009 and 2019. A clinical vignette was created for each case including demographics, a timeline of events, radiographs/measurements, patient-reported outcomes, complications, and surgical strategies used for the index and revision surgeries. The operative surgeon was then asked to fill out a five-question survey aimed at determining factors that contribute to operative decision-making and planning.Results86 patients were operated on by 6 participating surgeons for both index and revision ASD surgery. The revised patients had similar follow-up compared to the non-revised group (P = 0.73), with the most common complications indicating a need for revision surgery being proximal junctional failure (42%) and pseudoarthrosis (28%). Surgeons reported that they would not change their surgical strategy in 52.3% of the cases. The leading cause for revision was hardware/instrumentation issues (24.4%). Learning points included rod-related choice (23.3%), level selection (19.8), PJF prophylactic strategy (15.1%), and sagittal alignment objective (11.6%).ConclusionsSurgeons saw opportunity in nearly half of the cases to improve outcomes by changing something in the original surgery. While 40% of the failures remained unexplained from the surgeons' perspective, this study highlights the capacity for adopting changes in adult spinal deformity surgery and illuminates the reasoning behind certain surgical decisions.

Enhanced Recovery After Surgery Protocol in Patients With Adult Spinal Deformity: A Systematic Review and Meta-Analysis

Study DesignSystematic review and meta-analysis.ObjectivesPerioperative interventions in Enhanced recovery after surgery (ERAS) protocols for managing adult spinal deformity (ASD) patients vary widely across institutions without widespread standardization. This study aims to evaluate the various interventions performed in ERAS protocols and the impact of these protocols on postoperative outcomes following ASD surgery.MethodsA comprehensive systematic review was conducted following PRISMA guidelines. Studies that addressed the implementation of ERAS protocol for thoraco-lumbar corrective surgery were included. We conducted a meta-analysis on postoperative outcomes, where possible, calculating the pooled standardized mean difference between conventional care (pre-ERAS) and ERAS pathways (post-ERAS).ResultsOut of 63 articles, 8 were included in the systematic review. Common interventions in the ERAS protocols included: (1) preoperative anesthesia-related risk assessment and multidisciplinary assessment, (2) intraoperative tranexamic acid (TXA) administration and continuous monitoring of lab data, and (3) postoperative early mobilization and early nutritional support. Multimodal analgesia plans were commonly observed in many of the ERAS protocols. Although meta-analysis demonstrated no significant difference in length of stay (LOS) between the groups, the post-ERAS group generally tended to exhibit lower rates of readmission and medical complications, and reductions in total opioid consumption.ConclusionsThe goals of ERAS protocols for ASD surgery often address preoperative optimization, intraoperative stress minimization, and postoperative recovery facilitation. While the implementation of the ERAS protocol has shown improvements in postoperative outcomes, further studies are required to standardize the ERAS protocol for ASD surgery and enhance the impact on multiple postoperative outcomes.

Machine-learning models for the prediction of ideal surgical outcomes in patients with adult spinal deformity

Aims

Adult spinal deformity (ASD) surgery can reduce pain and disability. However, the actual surgical efficacy of ASD in doing so is far from desirable, with frequent complications and limited improvement in quality of life. The accurate prediction of surgical outcome is crucial to the process of clinical decision-making. Consequently, the aim of this study was to develop and validate a model for predicting an ideal surgical outcome (ISO) two years after ASD surgery.

Methods

We conducted a retrospective analysis of 458 consecutive patients who had undergone spinal fusion surgery for ASD between January 2016 and June 2022. The outcome of interest was achievement of the ISO, defined as an improvement in patient-reported outcomes exceeding the minimal clinically important difference, with no postoperative complications. Three machine-learning (ML) algorithms - LASSO, RFE, and Boruta - were used to identify key variables from the collected data. The dataset was randomly split into training (60%) and test (40%) sets. Five different ML models were trained, including logistic regression, random forest, XGBoost, LightGBM, and multilayer perceptron. The primary model evaluation metric was area under the receiver operating characteristic curve (AUROC).

Results

The analysis included 208 patients (mean age 64.62 years (SD 8.21); 48 male (23.1%), 160 female (76.9%)). Overall, 42.8% of patients (89/208) achieved the ideal surgical outcome. Eight features were identified as key variables affecting prognosis: depression, osteoporosis, frailty, failure of pelvic compensation, relative functional cross-sectional area of the paraspinal muscles, postoperative sacral slope, pelvic tilt match, and sagittal age-adjusted score match. The best prediction model was LightGBM, achieving the following performance metrics: AUROC 0.888 (95% CI 0.810 to 0.966); accuracy 0.843; sensitivity 0.829; specificity 0.854; positive predictive value 0.806; and negative predictive value 0.872.

Conclusion

In this prognostic study, we developed a machine-learning model that accurately predicted outcome after surgery for ASD. The model is built on routinely modifiable indicators, thereby facilitating its integration into clinical practice to promote optimized decision-making.

Preoperative anemia is associated with increased length of stay in adult spinal deformity surgery: evaluation of a large single-center patient cohort and future suggestions for patient optimization

PURPOSE

This study aimed to investigate the relationship of preoperative hemoglobin levels as an independent prognostic factor for hospital and intensive care unit (ICU) length of stay (LOS) in patients undergoing surgery for adult spinal deformity (ASD), with the intent of determining whether there exists a correlation and enhancing patient preoperative optimization protocols.

METHODS

The authors reviewed consecutive patients who underwent elective thoracolumbosacral posterior spinal fusion (PSF) involving six or more vertebrae for ASD from January 1, 2013, to December 13, 2021, with a minimum follow-up period of two years. This study primarily investigated the association of preoperative hemoglobin levels with hospital and ICU LOS. To analyze the data, both unadjusted and adjusted generalized linear models (GLM), incorporating cubic splines for non-linear variables, were applied.

RESULTS

A total of 598 patients were included. GLMs for hospital and ICU LOS demonstrated nonlinear relationships with preoperative hemoglobin levels. Specifically, hospital LOS decreased with increasing preoperative hemoglobin until a significance threshold of 13.5 g/dl. Similarly, ICU LOS significantly decreased with increasing preoperative hemoglobin until 13.0 g/dl. Lower preoperative hemoglobin was associated with more perioperative transfusions, less likely discharge to home, and greater risk of reoperation.

CONCLUSIONS

Preoperative anemia is an independent non-linear risk factor that significantly affects LOS, disposition, and outcomes after surgery for ASD. These findings advocate for a systemic preoperative approach and highlight the need for future research to improve postoperative outcomes and reduce hospital resource utilization.

LEVEL OF EVIDENCE

IV.

Prevention and Management of Posterior Wound Complications Following Oncologic Spine Surgery: Narrative Review of Available Evidence and Proposed Clinical Decision-Making Algorithm

STUDY DESIGN

Narrative Review.

OBJECTIVE

Contextualized by a narrative review of recent literature, we propose a wound complication prevention and management algorithm for spinal oncology patients. We highlight available strategies and motivate future research to identify optimal and individualized wound management for this population.

METHODS

We conducted a search of recent studies (2010-2022) using relevant keywords to identify primary literature in support of current strategies for wound complication prevention and management following spine tumor surgery. When primary literature specific to spine tumor cases was not available, data were extrapolated from studies of other spine surgery populations. Results were compiled into a proposed clinical algorithm to guide practice considering available evidence.

RESULTS

Based on available literature, we recommend individualized stratification of patients according to identifiable risk factors for wound complication and propose several interventions which might be employed preventatively, including intrawound antibiotic administration, negative pressure wound therapy, and primary flap closure of the surgical wound. Of these, the available evidence, weighing possible risks vs benefits, most strongly favors primary flap closure of surgical wounds, particularly for patients with multiple risk factors. A secondary algorithm to guide management of wound complications is also proposed.

CONCLUSIONS

Wound complications such as SSI and dehiscence remain a significant source of morbidity following spine tumor surgery. Triaging patients on an individualized basis according to risk factors for complication may aid in selecting appropriate prophylactic strategies to prevent these complications. Future research in this area is still needed to strengthen recommendations.

Satisfaction following correction of spinal deformity: Cultural and regional effects on outcome

Corrective spine surgery for spinal deformities, such as adolescent idiopathic scoliosis (AIS) and adult spinal deformity (ASD), aims to enhance the quality of life by addressing physical impairments. However, the extent of patient satisfaction after surgery, which includes pain management, functional recovery, and psychological contentment, exhibits considerable variation across different cultural and geographical landscapes. This review describes the influence of cultural and regional disparities on postoperative satisfaction in AIS and ASD surgery with a particular emphasis on the disparities between the US and Japan. This review underscores the intricate relationship between surgical outcomes and patient-reported satisfaction metrics. The investigation reveals significant contrasts in patient satisfaction and clinical results between these 2 countries, attributed to divergent cultural expectations, lifestyle adaptations, and perceptions of bodily image. These distinctions are crucial for healthcare professionals to recognize, as they necessitate a culturally nuanced approach to patient care. This comparative review not only enhances the understanding of patient experiences across cultures but also provides valuable guidance for physicians in customizing their strategies to align with the varied expectations of their patients, thereby improving postoperative satisfaction and overall quality of life. This review emphasizes the necessity of a tailored and culturally sensitive approach to managing spinal deformities, underscoring the need to factor in cultural and regional elements to enhance patient satisfaction and surgical outcomes.