Factors affecting length of stay after elective posterior lumbar spine surgery: a multivariate analysis

Association between postoperative complications and hospital length of stay: a large-scale observational study of 4,495,582 patients in the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) registry

BACKGROUND

Precise estimates of risk-adjusted increases in postoperative length of stay (LOS) associated with postoperative complications across a range of complications and operations are not available in the existing literature.

METHODS

Associations between preoperative characteristics, postoperative complications and postoperative LOS were tested using medians, interquartile ranges, and nonparametric rank sum tests in a retrospective cohort study using the 2005-2018 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) dataset. A negative binomial model was used with postoperative LOS as the dependent variable and preoperative characteristics and postoperative complications as independent variables. The model was applied to estimate each patient's postoperative LOS with and without each postoperative complication to measure the association between each complication and risk-adjusted change in postoperative LOS.

RESULTS

A total of 4,495,582 patients were included. After risk-adjustment, occurrence of each postoperative complication was associated with significantly increased postoperative LOS (between + 3.9 and + 20.1 days, p < 0.0001). The longest risk-adjusted postoperative LOS increases were associated with prolonged ventilator use (+ 20.1 days), wound disruption (+ 19.4 days), and acute renal failure (+ 17.1 days).

CONCLUSION

Occurrence of any postoperative complication was associated with increased risk-adjusted postoperative LOS. Degree of increase varied by complication. These data could be useful for patient counseling, allocation of resources, discharge planning, and quality improvement efforts.

Risk factors for extended hospital stay following minimally invasive transforaminal lumbar interbody fusion

BACKGROUND

Prior literature has examined predictors of length of stay (LOS) for lumbar fusion broadly, grouping multiple surgical approaches into one sample. Evaluating minimally invasive transforaminal lumbar interbody fusion (MIS-TLIF) specifically can reduce variability introduced by other approaches to effectively identify predictors of LOS. The purpose of this study is to evaluate preoperative predictors of extended LOS in patients undergoing MIS-TLIF.

METHODS

MIS-TLIF patients were identified from a spine surgeon's database. Preoperative predictors of LOS, including demographics, comorbidity data, spinal pathology, patient-reported back pain, leg pain, physical function, disability, general physical health, mental health, and depressive burden scores were analyzed. Univariate analysis was performed to identify predictors of LOS ≥ 48 and LOS ≥ 72 h, a multivariate analysis confirmed significance. Eight-hundred-one patients were included.

RESULTS

African-American patients were 4.3 times more likely to have a LOS≥48 h compared to Caucasians (p ≤ 0.001). Diagnosis of herniated nucleus pulposus and foraminal stenosis were negative predictors of an LOS ≥ 72 h (p ≤ 0.014, both). Self-identified African American patients were approximately twice as likely to have a LOS ≥ 72 h compared to Caucasians. Preoperative Oswestry Disability Index (ODI) was positively correlated with LOS ≥ 48 h (p = 0.008). Other baseline patient-reported outcomes (PROs) were not predictive of LOS ≥ 48 or 72 h (p > 0.050, all).

CONCLUSIONS

Further research should explore why different demographic characteristics may be associated with extended postoperative LOS to target interventions toward potential health disparities. Understanding preoperative risk factors can help target increased healthcare costs and improve patient care through tailored interventions and future research.

Intraoperative fluid management in adult spinal deformity surgery: variation analysis and association with outcomes

PURPOSE

To evaluate the variability in intraoperative fluid management during adult spinal deformity (ASD) surgery, and analyze the association with complications, intensive care unit (ICU) requirement, and length of hospital stay (LOS).

METHODS

Multicenter comparative cohort study. Patients ≥ 18 years old and with ASD were included. Intraoperative intravenous (IV) fluid data were collected including: crystalloids, colloids, crystalloid/colloid ratio (C/C), total IV fluid (tIVF, ml), normalized total IV fluid (nIVF, ml/kg/h), input/output ratio (IOR), input-output difference (IOD), and normalized input-output difference (nIOD, ml/kg/h). Data from different centers were compared for variability analysis, and fluid parameters were analyzed for possible associations with the outcomes.

RESULTS

Seven hundred ninety-eight patients with a median age of 65.2 were included. Among different surgical centers, tIVF, nIVF, and C/C showed significant variation (p < 0.001 for each) with differences of 4.8-fold, 3.7-fold, and 4.9-fold, respectively. Two hundred ninety-two (36.6%) patients experienced at least one in-hospital complication, and ninety-two (11.5%) were IV fluid related. Univariate analysis showed significant relations for: LOS and tIVF (ρ = 0.221, p < 0.001), IOD (ρ = 0.115, p = 0.001) and IOR (ρ = -0.138, p < 0.001); IV fluid-related complications and tIVF (p = 0.049); ICU stay and tIVF, nIVF, IOD and nIOD (p < 0.001 each); extended ICU stay and tIVF (p < 0.001), nIVF (p = 0.010) and IOD (p < 0.001). Multivariate analysis controlling for confounders showed significant relations for: LOS and tIVF (p < 0.001) and nIVF (p = 0.003); ICU stay and IOR (p = 0.002), extended ICU stay and tIVF (p = 0.004).

CONCLUSION

Significant variability and lack of standardization in intraoperative IV fluid management exists between different surgical centers. Excessive fluid administration was found to be correlated with negative outcomes.

LEVEL OF EVIDENCE

III.

Utilizing a comprehensive machine learning approach to identify patients at high risk for extended length of stay following spinal deformity surgery in pediatric patients with early onset scoliosis

PURPOSE

Early onset scoliosis (EOS) patient diversity makes outcome prediction challenging. Machine learning offers an innovative approach to analyze patient data and predict results, including LOS in pediatric spinal deformity surgery.

METHODS

Children under 10 with EOS were chosen from the American College of Surgeon's NSQIP database. Extended LOS, defined as over 5 days, was predicted using feature selection and machine learning in Python. The best model, determined by the area under the curve (AUC), was optimized and used to create a risk calculator for prolonged LOS.

RESULTS

The study included 1587 patients, mostly young (average age: 6.94 ± 2.58 years), with 33.1% experiencing prolonged LOS (n = 526). Most patients were female (59.2%, n = 940), with an average BMI of 17.0 ± 8.7. Factors influencing LOS were operative time, age, BMI, ASA class, levels operated on, etiology, nutritional support, pulmonary and neurologic comorbidities. The gradient boosting model performed best with a test accuracy of 0.723, AUC of 0.630, and a Brier score of 0.189, leading to a patient-specific risk calculator for prolonged LOS.

CONCLUSIONS

Machine learning algorithms accurately predict extended LOS across a national patient cohort and characterize key preoperative drivers of increased LOS after PSIF in pediatric patients with EOS.

Patient Comorbidities, Their Influence on Lumbar Spinal Fusion Surgery, and Recommendations to Reduce Unfavorable Outcomes

Improvements in healthcare management have led to a decrease in perioperative and postoperative complications. However, perioperative medical complications and mortality rates continue to increase in patients undergoing elective spinal surgeries. This trend is driven by the increase in the older population and the rise in the number of patients with more than two comorbidities. Managing patients with multiple comorbidities requires additional resources, augmenting the financial and societal burden. Despite the high risk of complications and mortality, patients with multiple comorbidities undergo spinal surgery for degenerative spinal conditions daily. These findings highlight the need for heightened awareness, patient education, and management of comorbidities before elective spinal surgeries. This article comprehensively reviews literature on the effects of medical comorbidities on spinal fusion surgery outcomes to increase awareness of the surgical complications associated with comorbidities. In addition, suggested preoperative and postoperative comorbidity management strategies are outlined.

Machine learning-enabled prediction of prolonged length of stay in hospital after surgery for tuberculosis spondylitis patients with unbalanced data: a novel approach using explainable artificial intelligence (XAI)

BACKGROUND

Tuberculosis spondylitis (TS), commonly known as Pott's disease, is a severe type of skeletal tuberculosis that typically requires surgical treatment. However, this treatment option has led to an increase in healthcare costs due to prolonged hospital stays (PLOS). Therefore, identifying risk factors associated with extended PLOS is necessary. In this research, we intended to develop an interpretable machine learning model that could predict extended PLOS, which can provide valuable insights for treatments and a web-based application was implemented.

METHODS

We obtained patient data from the spine surgery department at our hospital. Extended postoperative length of stay (PLOS) refers to a hospitalization duration equal to or exceeding the 75th percentile following spine surgery. To identify relevant variables, we employed several approaches, such as the least absolute shrinkage and selection operator (LASSO), recursive feature elimination (RFE) based on support vector machine classification (SVC), correlation analysis, and permutation importance value. Several models using implemented and some of them are ensembled using soft voting techniques. Models were constructed using grid search with nested cross-validation. The performance of each algorithm was assessed through various metrics, including the AUC value (area under the curve of receiver operating characteristics) and the Brier Score. Model interpretation involved utilizing methods such as Shapley additive explanations (SHAP), the Gini Impurity Index, permutation importance, and local interpretable model-agnostic explanations (LIME). Furthermore, to facilitate the practical application of the model, a web-based interface was developed and deployed.

RESULTS

The study included a cohort of 580 patients and 11 features include (CRP, transfusions, infusion volume, blood loss, X-ray bone bridge, X-ray osteophyte, CT-vertebral destruction, CT-paravertebral abscess, MRI-paravertebral abscess, MRI-epidural abscess, postoperative drainage) were selected. Most of the classifiers showed better performance, where the XGBoost model has a higher AUC value (0.86) and lower Brier Score (0.126). The XGBoost model was chosen as the optimal model. The results obtained from the calibration and decision curve analysis (DCA) plots demonstrate that XGBoost has achieved promising performance. After conducting tenfold cross-validation, the XGBoost model demonstrated a mean AUC of 0.85 ± 0.09. SHAP and LIME were used to display the variables' contributions to the predicted value. The stacked bar plots indicated that infusion volume was the primary contributor, as determined by Gini, permutation importance (PFI), and the LIME algorithm.

CONCLUSIONS

Our methods not only effectively predicted extended PLOS but also identified risk factors that can be utilized for future treatments. The XGBoost model developed in this study is easily accessible through the deployed web application and can aid in clinical research.

Development and Validation of Machine Learning-Based Predictive Model for Prolonged Hospital Stay after Decompression Surgery for Lumbar Spinal Canal Stenosis

Introduction

Precise prediction of hospital stay duration is essential for maximizing resource utilization during surgery. Existing lumbar spinal stenosis (LSS) surgery prediction models lack accuracy and generalizability. Machine learning can improve accuracy by considering preoperative factors. This study aimed to develop and validate a machine learning-based model for estimating hospital stay duration following decompression surgery for LSS.

Methods

Data from 848 patients who underwent decompression surgery for LSS at three hospitals were examined. Twelve prediction models, using 79 preoperative variables, were developed for postoperative hospital stay estimation. The top five models were chosen. Fourteen models predicted prolonged hospital stay (≥14 days), and the most accurate model was chosen. Models were validated using a randomly divided training sample (70%) and testing cohort (30%).

Results

The top five models showed moderate linear correlations (0.576-0.624) between predicted and measured values in the testing sample. The ensemble of these models had moderate prediction accuracy for final length of stay (linear correlation 0.626, absolute mean error 2.26 days, standard deviation 3.45 days). The c5.0 decision tree model was the top predictor for prolonged hospital stay, with accuracies of 89.63% (training) and 87.2% (testing). Key predictors for longer stay included JOABPEQ social life domain, facility, history of vertebral fracture, diagnosis, and Visual Analogue Scale (VAS) of low back pain.

Conclusions

A machine learning-based model was developed to predict postoperative hospital stay after LSS decompression surgery, using data from multiple hospital settings. Numerical prediction of length of stay was not very accurate, although favorable prediction of prolonged stay was accomplished using preoperative factors. The JOABPEQ social life domain score was the most important predictor.

Effectiveness of a Preoperative Bowel Preparation Protocol for Patients With Adolescent Idiopathic Scoliosis to Decrease Postoperative Gastrointestinal Morbidities and the Hospital Length of Stay

STUDY DESIGN

Randomised controlled trial.

OBJECTIVE

This study aimed to determine the effectiveness of a preoperative bowel preparation protocol comprising bisacodyl to minimize postoperative gastrointestinal morbidities and the hospital length of stay for patients with adolescent idiopathic scoliosis.

SUMMARY OF BACKGROUND DATA

Patients who undergo scoliosis correction surgery frequently experience postoperative gastrointestinal morbidities and a prolonged hospital length of stay. Emesis, paralytic ileus and constipation are the most common gastrointestinal morbidities. Opioid medication is a well-known risk factor for gastrointestinal complications after scoliosis correction surgery.

METHODS

Eighty-seven patients (22 boys [25.3%] and 65 girls [74.7%]) with a mean age of 17.7 years (standard deviation [SD], ±2.2 years) diagnosed with adolescent idiopathic scoliosis were enrolled in this study and randomized into 2 groups. Group A comprised 44 patients who received a preoperative bowel preparation comprising bisacodyl. Group B comprised 43 patients who did not receive any preoperative medication. Demographic data, height, weight, medical and surgical comorbidities, Risser status, number of instrumented levels and preoperative opioid consumption of all patients were evaluated.

RESULTS

Group A experienced fewer postoperative abdominal symptoms than group B. The mean hospital length of stay was 4.1 days (SD, ±.6 days; median, 4 days; range, 3-5 days) for group A; however, it was 5.3 days (SD, ±.8 days; median, 5 days; range, 4-7 days) for group B (P = .01).

CONCLUSION

The use of a bowel preparation protocol before scoliosis correction surgery for patients with adolescent idiopathic scoliosis can effectively decrease postoperative gastrointestinal morbidities and the hospital length of stay.

Factors associated with poorer outcomes for posterior lumbar decompression and or/or discectomy: an exploratory analysis of administrative data

PURPOSE

This study aimed to identify factors associated with poorer patient outcomes for lumbar decompression and/or discectomy (PLDD).

METHODS

We extracted data from the Hospital Episodes Statistics database for the 5 years from 1st April 2014 to 31st March 2019. Patients undergoing an elective one- or two-level PLDD aged ≥ 17 years and without evidence of revision surgery during the index stay were included. The primary patient outcome measure was readmission within 90 days post-discharge.

RESULTS

Data for 93,813 PLDDs across 111 hospital trusts were analysed. For the primary outcome, greater age [< 40 years vs 70-79 years odds ratio (OR) 1.28 (95% confidence interval (CI) 1.14 to 1.42), < 40 years vs ≥ 80 years OR 2.01 (95% CI 1.76-2.30)], female sex [OR 1.09 (95% CI 1.02-1.16)], surgery over two spinal levels [OR 1.16 (95% CI 1.06-1.26)] and the comorbidities chronic pulmonary disease, connective tissue disease, liver disease, diabetes, hemi/paraplegia, renal disease and cancer were all associated with emergency readmission within 90 days. Other outcomes studied had a similar pattern of associations.

CONCLUSIONS

A high-throughput PLDD pathway will not be suitable for all patients. Extra care should be taken for patients aged ≥ 70 years, females, patients undergoing surgery over two spinal levels and those with specific comorbidities or generalised frailty.

Implant-Related Complications after Spinal Fusion: A Multicenter Study

STUDY DESIGN

Retrospective analysis of prospectively database.

OBJECTIVE

Implant-related complications are an extremely important issue because they pose a burden to patients who underwent surgery. An understanding of these complications can help improve the postoperative management of patients undergoing spinal surgery. The current large-scale multicenter study aimed to identify postoperative implant-related complications that may require revision surgery.

METHODS

In total, 3447 patients who underwent spinal fusion surgery were included in the analysis. Data about age at surgery, sex, preoperative diagnosis, surgical level, type of implant-related complications, causes of reoperation, and time from the initial to revision surgery were reviewed. Moreover, the characteristics of reoperation in 3 periods (within 30, 31-90, and over 90 days) were assessed.

RESULT

The overall incidence of implant-related complications was 4.6%. Adult spinal deformity was the most common diagnosis (9.9%), and thoracic-lumbar-sacral (42.9%) was the most common surgical level among patients with implant-related complications. Further, screw malposition was the most frequent implant-related complication (42.8%). In total, 89 (2.6%) patients underwent reoperation due to implant-related complications. The main causes of reoperation within 30, 31-90, and over 90 days were screw malposition (72.2%), screw loosening or pull out (81.8%), and rod or screw fracture (60.9%), respectively.

CONCLUSION

To the best of our knowledge, this was the first large-scale multicenter study that assessed the characteristics of patients who underwent reoperation due to spinal implant-related complications. The study results could improve the preoperative informed consent procedure about spinal fusion.

Complication Pattern After Percutaneous Cement Discoplasty: Identification of Factors Influencing Reoperation and Length of Hospital Stay

OBJECTIVE

Percutaneous cement discoplasty (PCD) was introduced to treat symptomatic vertical instability of the lumbar spine in a minimally invasive way. The aim of the present study was to analyze the complication pattern after PCD and to identify factors that predict the chance of cement leakage, reoperation, and length of hospital stay (LOS).

METHODS

patients were treated with PCD within the study period. Clinical features and complications were analyzed by applying descriptive statistics, whereas perioperative factors predictive of cement leakage, reoperation, and LOS were identified by regression models.

RESULTS

Cement leakage rate was 30.4% in the total cohort; however, only fifth of them were symptomatic. Cement leakage itself did not have a significant influence on clinical outcome. Other complications and nonsurgical adverse events were registered only in 2.0% of cases. Age, subcutaneous fat tissue thickness, low viscosity cement, lower level of surgeon's experience and the number of operated levels were identified as risk factors of cement leakage (P < 0.01; c-index = 0.836). Type of procedure, Charlson comorbidity score, reoperation, and nonsurgical adverse events significantly increased the LOS (P < 0.01). Cement leakage, early surgical practice, and increased subcutaneous fat tissue thickness were risk factors for reoperation (P < 0.01; c-index = 0.72).

CONCLUSIONS

PCD is a relatively safe and effective procedure for treating spinal instability caused by advanced-stage disc degeneration characterized by vacuum phenomenon. Cement leakage is not uncommon but is only a radiologic complication without clinical consequences in most cases. On the other hand, it can increase the LOS and is a significant risk factor for reoperation.

Hypoalbuminemia as a Predictor of Mortality, Disability, and Readmission in Patients Undergoing Spine Surgery: A Retrospective Analysis

STUDY DESIGN

This was a retrospective cohort study.

OBJECTIVE

The objective of this study was to clarify the association between preoperative albumin status and mortality and morbidity in lumbar spine surgery.

SUMMARY OF BACKGROUND DATA

Hypoalbuminemia is a known marker of inflammation and is associated with frailty. Hypoalbuminemia is an identified risk factor for mortality following spine surgery for metastases, yet has not been well studied among spine surgical cohorts outside of metastatic cancer.

MATERIALS AND METHODS

We identified patients with preoperative serum albumin laboratory values who underwent lumbar spine surgery at a US public university health system between 2014 and 2021. Demographic, comorbidity, and mortality data were collected along with preoperative and postoperative Oswestry Disability Index (ODI) scores. Any cause readmission within 1 year of surgery was recorded. Hypoalbuminemia was defined as <3.5 g/dL in serum. We examined the Kaplan-Meier survival plots based on serum albumin. Multivariable regression models were used to identify the association between preoperative hypoalbuminemia with mortality, readmission, and ODI, while controlling for age, sex, race, ethnicity, procedure, and Charlson Comorbidity Index.

RESULTS

Of 2573 patients, 79 were identified as hypoalbuminemic. Hypoalbuminemic patients had a significantly greater adjusted risk of mortality through 1 year (odds ratio=10.2; 95% CI: 3.1-33.5; P <0.001), and 7 years (hazard ratio=4.18; 95% CI: 2.29-7.65; P <0.001). Hypoalbuminemic patients had ODI scores 13.5 points higher (95% CI: 5.7-21.4; P <0.001) at baseline. Adjusted readmission rates were not different between groups through 1 year (odds ratio=1.15; 95% CI: 0.5-2.62; P =0.75) or through full surveillance (hazard ratio=0.82; 95% CI: 0.44-1.54; P =0.54).

CONCLUSIONS

Preoperative hypoalbuminemia was strongly associated with postoperative mortality. Hypoalbuminemic patients did not have demonstrably worse outcomes in their functional disability beyond 6 months. Within the first 6 months following surgery, the hypoalbuminemic group improved at a similar rate to the normoalbuminemic group despite having a greater preoperative disability. However, causal inference is limited in this retrospective study.

Preoperative predictors of prolonged hospitalization in patients undergoing lateral lumbar interbody fusion

PURPOSE

We aim to examine the preoperative factors associated with increased postoperative length of stay in patients undergoing LLIF in the hospital setting.

METHODS

Patient demographics, perioperative characteristics, and patient-reported outcome measures (PROMs) were collected from a single-surgeon database. Patients undergoing LLIF in the hospital setting were separated into postoperative LOS <48 h (H) and LOS ≥ 48H. Univariate analysis for preoperative characteristics was utilized to determine covariates for multivariable logistic regression. Multivariable logistic regression was then utilized to determine significant predictors of extended postoperative length of stay. Secondary univariate analysis of inpatient complications, operative, and postoperative characteristics were calculated to determine postoperative factors associated with prolonged hospitalization.

RESULTS

Two-hundred and forty patients were identified with 115 patients' LOS ≥ 48H. Univariate analysis identified age/Charlson Comorbidity Index (CCI) score/gender/insurance type/number of contiguous fused levels/preoperative PROMs of Visual Analog Scale (VAS) back/VAS leg/Patient-Reported Outcomes Measurement Information System (PROMIS-PF)/Oswestry Disability Index (ODI)/degenerative spondylolisthesis diagnoses/foraminal stenosis/central stenosis for multivariable logistic regression. Multivariable logistic regression calculated significant positive predictors of LOS ≥ 48H to be age/3-level fusion/preoperative ODI scores. Negative predictors of LOS ≥ 48H were the diagnosis of foraminal stenosis/preoperative PROMIS-PF/male gender. The secondary analysis determined that patients with longer operative time/estimated blood loss/transfusion/postoperative day 0 and 1 pain and narcotic consumption/complications of altered mental status/postoperative anemia/fever/ileus/urinary retention were associated with prolonged hospitalization.

CONCLUSION

Older patients undergoing LLIF with greater preoperative disability and 3-level fusion were more likely to require prolonged hospitalization. Male patients with higher preoperative physical function and who were diagnosed with foraminal stenosis were less likely to require prolonged hospitalization.

Clinical Outcomes of Bariatric Surgery Before Spinal Fusion: A Systematic Review

INTRODUCTION

Morbidly obese patients are at increased risk for intraoperative and postoperative complications following spinal fusion. Preoperative weight loss can improve clinical outcomes. The present systematic literature review is aimed to evaluate the hypothesis that bariatric surgery before spinal fusion surgery is associated with higher rates of complications and revisions.

METHODS

Three databases were queried for literature pertaining to bariatric surgery prior to spinal fusion. A 2-author screening process was conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses. Methodologic index for non-randomized studies criteria was used to objectively assess the methodologic quality of the studies reviewed. Retrospective cohort studies in which the patients underwent bariatric surgery were included.

RESULTS

Four retrospective cohort studies consisting of a total of 180,090 patients were included. Length of stay was significantly shorter for the bariatric surgery (BS) group patients than the control (C) groups patients (P = 0.009). There were no significant differences in 1-year mortality rate (P = 1.0), readmission rate (P = 0.86), overall postoperative complications (P = 0.83), and postoperative infections (P = 0.97) between the BS and C groups.

CONCLUSIONS

There were no consistent differences in rates of postoperative complications, infections, hospital readmission, and mortality between obese patients with bariatric surgery prior to spinal fusion and control group patients. The present study does not support the hypothesis that bariatric surgery before spinal fusion contributes to a higher rate of postoperative complications in patients undergoing spinal fusion.

Predictive Models for Length of Stay and Discharge Disposition in Elective Spine Surgery: Development, Validation, and Comparison to the ACS NSQIP Risk Calculator

STUDY DESIGN

A retrospective study at a single academic institution.

OBJECTIVE

The purpose of this study is to utilize machine learning to predict hospital length of stay (LOS) and discharge disposition following adult elective spine surgery, and to compare performance metrics of machine learning models to the American College of Surgeon's National Surgical Quality Improvement Program's (ACS NSQIP) prediction calculator.

SUMMARY OF BACKGROUND DATA

A total of 3678 adult patients undergoing elective spine surgery between 2014 and 2019, acquired from the electronic health record.

METHODS

Patients were divided into three stratified cohorts: cervical degenerative, lumbar degenerative, and adult spinal deformity groups. Predictive variables included demographics, body mass index, surgical region, surgical invasiveness, surgical approach, and comorbidities. Regression, classification trees, and least absolute shrinkage and selection operator (LASSO) were used to build predictive models. Validation of the models was conducted on 16% of patients (N=587), using area under the receiver operator curve (AUROC), sensitivity, specificity, and correlation. Patient data were manually entered into the ACS NSQIP online risk calculator to compare performance. Outcome variables were discharge disposition (home vs. rehabilitation) and LOS (days).

RESULTS

Of 3678 patients analyzed, 51.4% were male (n=1890) and 48.6% were female (n=1788). The average LOS was 3.66 days. In all, 78% were discharged home and 22% discharged to rehabilitation. Compared with NSQIP (Pearson R2 =0.16), the predictions of poisson regression ( R2 =0.29) and LASSO ( R2 =0.29) models were significantly more correlated with observed LOS ( P =0.025 and 0.004, respectively). Of the models generated to predict discharge location, logistic regression yielded an AUROC of 0.79, which was statistically equivalent to the AUROC of 0.75 for NSQIP ( P =0.135).

CONCLUSION

The predictive models developed in this study can enable accurate preoperative estimation of LOS and risk of rehabilitation discharge for adult patients undergoing elective spine surgery. The demonstrated models exhibited better performance than NSQIP for prediction of LOS and equivalent performance to NSQIP for prediction of discharge location.

Single-level Lumbar Fusion Versus Total Joint Arthroplasty: A Comparison of 1-year Outcomes

INTRODUCTION

Primary hip and knee arthroplasty represent two of the most successful orthopaedic surgical interventions in the past century. Similarly, lumbar fusion (LF) remains a valuable, evidence-based option to relieve pain and disability related to spinal degenerative conditions. This study evaluates the relative improvements in 1-year health-related quality of life (HRQOL) measures among patients undergoing primary single-level LF, primary total hip arthroplasty (THA), and primary total knee arthroplasty (TKA).

METHODS

Patients older than 18 years who underwent primary single-level posterior LF (posterolateral decompression and fusion with or without transforaminal lumbar interbody fusion, involving any single lumbar level), TKA, and THA at a single academic institution were retrospectively identified. Patient demographics and surgical characteristics were collected. HRQOL measures were collected preoperatively and at 1-year postoperative time point including Short-Form 12 Physical Component Score (PCS) and Mental Component Score (MCS) along with subspecialty-specific outcomes.

RESULTS

A total of 2,563 patients were included (346 LF, 1,035 TKA, and 1,182 THA). Change in MCS-12 and PCS-12 after LF did not vary markedly by preoperative diagnosis. LF patients had a significantly lower preoperative MCS-12 (LF: 50.8, TKA: 53.9, THA: 52.9, P < 0.001), postoperative MCS-12 (LF: 52.5, TKA: 54.8, THA: 54.5, P < 0.001), postoperative PCS-12 (LF: 40.1, TKA: 44.0, THA: 43.9, P < 0.001), ΔPCS-12 (LF: 7.9, TKA: 10.8, THA: 11.9, P < 0.001), and PCS-12 recovery ratio (LF: 10.7%, TKA: 15.1%, THA 16.6%, P < 0.001) compared with TKA and THA patients. In regression analysis, both TKA and LF were found to be independently associated with a smaller ΔPCS-12 improvement (TKA: β = -1.36, P = 0.009; LF: β = -4.74, P < 0.001) compared with THA. TKA (β = -1.42, P = 0.003) was also independently associated with a smaller ΔMCS-12 improvement compared with THA.

CONCLUSIONS

Patients undergoing single-level LF, TKA, and THA demonstrate notable improvements in HRQOL outcomes at 1 year postoperatively compared with preoperative baseline scores. The greatest improvements were found among THA patients, followed subsequently by TKA and LF patients. Both LF and TKA were independently associated with markedly less improvement in physical disability at 1 year postoperatively compared with THA.

STUDY DESIGN

Retrospective Cohort Study.

Prioritizing geriatrics in medical education improves care for all

Within the United States, there is a deficit of Geriatricians providing care for older adults, and this deficit will only grow as the population continues to age, meaning all clinicians, particularly Internal Medicine (IM) and Family Medicine (FM) trained physicians, will provide the bulk of primary care for older adults. However, geriatric training requirements for clinicians fall short, and in the case of IM were reduced as of 2022). Serving as a call to action, this article provides insight on ways to enhance geriatric education for all graduate medical trainees, utilizing both conventional teaching and newer, non-traditional media, such as national online journal clubs, podcasts, and online teaching curricula, as well as expanding sites of training to include evidence-based models of care, such as the Program of All-Inclusive Care for the Elderly (PACE). Providing geriatric education improves care for older adults and our future selves, ensuring trainees are prepared to care and advocate for this diverse and often vulnerable population.

Predicting prolonged length of stay in patients undergoing transforaminal lumbar interbody fusion

BACKGROUND

With growing emphasis on high-value care, many institutions have been working on improving surgical efficiency, quality, and complication reduction. Unfortunately, data are limited regarding perioperative factors that may influence length of stay (LOS) following transforaminal lumbar interbody fusion (TLIF). We sought to design a predictive algorithm that determined patients at risk of prolonged LOS after TLIF. The goal was to identify patients who would benefit from preoperative intervention aimed to reduce LOS.

METHODS

We conducted a review of perioperative data for patients who underwent TLIF between 2014 and 2019. Univariate and multivariate stepwise regression models were used to analyze risk factor effects on postoperative LOS.

RESULTS

Two hundred and sixty-nine patients were identified (57.2% women). Mean age at surgery was 61.7 ± 12.3 years. Mean postoperative LOS was 3.08 ± 1.54 days. In multivariate analysis, American Society of Anesthesiologists class (odds ratio [OR] = 1.441, 95% confidence interval [CI] 1.321-1.571), preoperative functional status (OR = 1.237, 95% CI 1.122-1.364), Oswestry Disability Index (OR = 1.010, 95% CI 1.004-1.016), and estimated blood loss (OR = 1.050, 95% CI 1.003-1.101) were independent risk factors for postoperative LOS ≥ 5 days. The final model had an area under the curve of 0.948 with good discrimination and was implemented in the form of an online calculator ( https://spine.shinyapps.io/TLIF_LOS/ ).

CONCLUSION

The prediction tool derived can be useful for assessing likelihood of prolonged LOS in patients undergoing TLIF. With external validation, this calculator may ultimately assist healthcare providers in identifying patients at risk for prolonged hospitalization so preoperative interventions can be undertaken to reduce LOS, thus reducing resource utilization.

Level-specific Perioperative and Clinical Outcome Comparison: Cervical Disk Replacement Versus Anterior Cervical Diskectomy and Fusion at C5-C6 in Patients With Myeloradiculopathy

INTRODUCTION

This study compares perioperative and postoperative clinical outcomes in patients undergoing anterior cervical diskectomy and fusion (ACDF) or cervical disk replacement (CDR) at C5-C6 in patients with myeloradiculopathy.

METHODS

Primary, elective, single-level CDR or ACDF procedures at C5-C6 for patients with myeloradiculopathy were included. Patient-reported outcome measures (PROMs) included visual analog scale (VAS) neck, VAS arm, Neck Disability Index (NDI), Patient-Reported Outcomes Measurement Information System Physical Function (PROMIS-PF), and Short-Form 12-Item Physical Composite Score (SF-12 PCS) collected at preoperative/6-week/12-week/6-month/1-year time points. Surgical cohorts were assessed for differences in demographics/perioperative characteristics using the chi square test and unpaired Student t-test for categorical and continuous variables, respectively. Achievement of minimum clinically important difference (MCID) was determined by comparing ΔPROMs with established thresholds. Outcome measures were compared at postoperative time points with the Student t-test, and improvement from preoperative baseline was assessed with a paired sample t-test.

RESULTS

One hundred thirty-seven patients were included, 43 CDR and 94 ACDF. CDR patients demonstrated significantly reduced surgical times (46.3 versus 55.1 minutes), estimated blood loss (24.4 versus 43.6 mL), revision surgery rates (0.0% versus 5.3%), postoperative length of stay (8.9 versus 23.0 hours), and postoperative narcotic consumption (P < 0.017, all). Complication rates and mean PROMs did not differ between cohorts. The CDR cohort markedly improved from baseline for all PROMs postoperatively except SF-12 PCS/PROMIS-PF at 6 weeks. The ACDF cohort markedly improved at each time point except VAS arm at 1 year, NDI at 6 weeks/1 year, and SF-12 PCS/PROMIS-PF at 6 weeks. A majority of both cohorts achieved overall MCID for VAS neck/NDI/PROMIS-PF. MCID achievement rates did not differ except NDI at 12 weeks/1 year and SF-12 PCS at 6 months, both favoring CDR.

DISCUSSION

Both procedural cohorts demonstrated similar long-term clinical outcomes for arm/neck pain and physical function; however, patients undergoing CDR at C5-C6 demonstrated an improved ability to maintain 1-year postoperative progress for neck disability with improved 1-year NDI MCID achievement. The CDR cohort, in addition, demonstrated an improved perioperative profile and reduced rate of revision surgery.

Predicting prolonged postoperative length of stay risk in patients undergoing lumbar fusion surgery: Development and assessment of a novel predictive nomogram

Objective

The purpose of this study was to develop and internally validate a prediction nomogram model in patients undergoing lumbar fusion surgery.

Methods

A total of 310 patients undergoing lumbar fusion surgery were reviewed, and the median and quartile interval were used to describe postoperative length of stay (PLOS). Patients with PLOS &gt; P75 were defined as prolonged PLOS. The least absolute shrinkage and selection operator (LASSO) regression was used to filter variables for building the prolonged PLOS risk model. Multivariable logistic regression analysis was applied to build a predictive model using the variables selected in the LASSO regression model. The area under the ROC curve (AUC) of the predicting model was calculated and significant test was performed. The Kappa consistency test between the predictive model and the actual diagnosis was performed. Discrimination, calibration, and the clinical usefulness of the predicting model were assessed using the C-index, calibration plot, and decision curve analysis. Internal validation was assessed using the bootstrapping validation.

Results

According to the interquartile range of PLOS in a total of 310 patients, the PLOS of 235 patients was ≤P75 (7 days) (normal PLOS), and the PLOS of 75 patients was &gt; P75 (prolonged PLOS). The LASSO selected predictors that were used to build the prediction nomogram included BMI, diabetes, hypertension, duration of surgery, duration of anesthesia, anesthesia type, intraoperative blood loss, sufentanil for postoperative analgesia, and postoperative complication. The model displayed good discrimination with an AUC value of 0.807 (95% CI: 0.758–0.849, P &lt; 0.001), a Kappa value of 0.5186 (cutoff value, 0.2445, P &lt; 0.001), and good calibration. A high C-index value of 0.776 could still be reached in the interval validation. Decision curve analysis showed that the prolonged PLOS nomogram was clinically useful when intervention was decided at the prolonged PLOS possibility threshold of 3%.

Conclusions

This study developed a novel nomogram with a relatively good accuracy to help clinicians access the risk of prolonged PLOS in lumbar fusion surgery patients. By an estimate of individual risk, surgeons and anesthesiologists may shorten PLOS and accelerate postoperative recovery of lumbar fusion surgery through more accurate individualized treatment.

Performance of Artificial Intelligence-Based Algorithms to Predict Prolonged Length of Stay after Lumbar Decompression Surgery

Background: Decompression of the lumbar spine is one of the most common procedures performed in spine surgery. Hospital length of stay (LOS) is a clinically relevant metric used to assess surgical success, patient outcomes, and socioeconomic impact. This study aimed to investigate a variety of machine learning and deep learning algorithms to reliably predict whether a patient undergoing decompression of lumbar spinal stenosis will experience a prolonged LOS. Methods: Patients undergoing treatment for lumbar spinal stenosis with microsurgical and full-endoscopic decompression were selected within this retrospective monocentric cohort study. Prolonged LOS was defined as an LOS greater than or equal to the 75th percentile of the cohort (normal versus prolonged stay; binary classification task). Unsupervised learning with K-means clustering was used to find clusters in the data. Hospital stay classes were predicted with logistic regression, RandomForest classifier, stochastic gradient descent (SGD) classifier, K-nearest neighbors, Decision Tree classifier, Gaussian Naive Bayes (GaussianNB), support vector machines (SVM), a custom-made convolutional neural network (CNN), multilayer perceptron artificial neural network (MLP), and radial basis function neural network (RBNN) in Python. Prediction accuracy and area under the curve (AUC) were calculated. Feature importance analysis was utilized to find the most important predictors. Further, we developed a decision tree based on the Chi-square automatic interaction detection (CHAID) algorithm to investigate cut-offs of predictors for clinical decision-making. Results: 236 patients and 14 feature variables were included. K-means clustering separated data into two clusters distinguishing the data into two patient risk characteristic groups. The algorithms reached AUCs between 67.5% and 87.3% for the classification of LOS classes. Feature importance analysis of deep learning algorithms indicated that operation time was the most important feature in predicting LOS. A decision tree based on CHAID could predict 84.7% of the cases. Conclusions: Machine learning and deep learning algorithms can predict whether patients will experience an increased LOS following lumbar decompression surgery. Therefore, medical resources can be more appropriately allocated to patients who are at risk of prolonged LOS.

Influence of Preoperative Handgrip Strength on Length of Stay after Lumbar Fusion Surgery

Preoperative sarcopenic status can affect length of hospital stay and patient outcomes after surgery. The aim of this study was to investigate the impacts of preoperative handgrip strength (HGS) on length of stay (LOS) and outcomes after lumbar fusion surgery. HGS was measured preoperatively, and the cut-off value for low HGS was <28 kg for men and <18 kg for women. Perioperative patient outcomes were compared between patients with low and normal HGS. A total of 225 patients, consisting of 86 and 139 patients in the low and normal HGS groups, respectively, fully satisfied the study criteria for analysis. A longer LOS (median 10 vs. 8 days, p = 0.013) and a higher incidence of serious postoperative complications (15.1 vs. 3.6%, p = 0.002) were observed in the low HGS group. In the multivariate analysis, a low HGS (odds ratio (OR) = 1.917, 95% confidence interval (CI) = 1.046−3.513, p = 0.035) was significantly associated with a longer LOS after surgery. Preoperative HGS below the reference values by sex appeared to be an independent factor associated with longer LOS after lumbar fusion surgery.

Beyond Placement of Pedicle Screws - New Applications for Robotics in Spine Surgery: A Multi-Surgeon, Single-Institution Experience

Interest in robotic-assisted spine surgery has grown as surgeon comfort and technology has evolved to maximize benefits of time saving and precision. However, the Food and Drug Administration (FDA) has currently only approved robotics to assist in determining the ideal trajectory for pedicle screw placement after extensive research supporting its efficacy and efficiency. To be considered a durable and effective option, robotics need to expand beyond the indication of just placing pedicle screws. This article aims to illustrate a multi-surgeon, single-institution experience with unique applications of robotic technologies in spine surgery. We will explore accessing Kambin's Triangle in percutaneous transforaminal interbody fusion (percLIF), iliac fixation in metastatic cancer, and sacroiliac (SI) fusions. Each of these topics will be covered in depth with associated background information and subsequent discussion. We show that with proper understanding of its limitations, robots can help surgeons perform difficult surgeries in a safe manner.

Cervical fusion for adult patients with atlantoaxial rotatory subluxation

BACKGROUND

Atlantoaxial rotatory subluxation (AARS) is a rare injury of the C1/C2 junction. It is often associated with trauma in adults. Treatment may depend on the duration of symptoms and clinical presentation, but there is no consensus regarding the ideal management of these injuries. Our objective is to ascertain the prevalence of neurological deficit, complications, and outcomes of patients diagnosed with AARS undergoing cervical fusion (CF) versus those treated without CF.

METHODS

The 2016-2019 National Inpatient Sample (NIS) was queried using International Classification of Diseases, 10th revision (ICD-10) for adult patients with C1/C2 subluxation. Patients undergoing CF were defined through ICD-10 procedure codes. Baseline health and acute illness severity was calculated using the 11-point modified frailty index (mFI-11). Presenting characteristics, treatment complications, and outcomes were evaluated of CF vs. non-CF patients.

RESULTS

Of 990 adult patients with AARS, 720 were treated without CF and 270 were treated with CF. CF patients were more often myelopathic. Patients that had undergone CF treatment were negatively associated with having had extensive trauma. Patients undergoing CF experienced significantly longer length of stay (LOS), increased healthcare resource utilization, and decreased inpatient mortality. Sepsis had a negative association with patients that underwent CF treatment while pneumonia had a positive association.

CONCLUSIONS

Adult patients undergoing CF for AARS demonstrated an increase in healthcare resource utilization but also a significant decrease in mortality. Extent of acute injury appears to have a strong influence on decision making for CF. Further study of decision making for treatment of this rare injury in adults is warranted.

Comparison of Microscopic Decompression and Biportal Endoscopic Spinal Surgery in the Treatment of Lumbar Canal Stenosis and Herniated Disc: A One-year Follow-up

Backgrounds. Microscopic decompression (MD) has been widely used as an alternative to open decompression. Lately, biportal endoscopic spinal surgery (BESS) - a new approach in minimal-invasive spinal surgery – has also been used with good results.  Although both groups can achieve adequate lumbar decompression, there is still a lack of evidence regarding their comparison. We aim to compare the outcomes of both techniques in a one-year follow-up. Methods. This is a retrospective study in 100 consecutive patients with symptomatic lumbar spine compression due to herniated nucleus pulposus (HNP) and lumbar canal stenosis (LCS) that was treated by either BESS or MD. Clinical evaluations using Visual Analog Score (VAS), Oswestry Disability Index (ODI), and SF-36 questionnaire were obtained. Objective data such as surgery duration, amount of postoperative drain production, and hospital length of stay were collected. Complications were noted throughout the follow-up time. Results. The BESS group had a significantly lesser surgical duration, drain production, and length of stay. At one year follow-up, both groups achieved significant improvement in VAS, ODI, and SF-36 compared to the preoperative condition. Complications were not observed in the BESS group. Conclusions. Both procedures were comparably effective to treat lumbar stenosis. Although this study shows superiority with BESS technique in immediate and long-term follow-up, the final choice may depend on the surgeon's preference

A systematic review of the prediction of hospital length of stay: Towards a unified framework

Hospital length of stay of patients is a crucial factor for the effective planning and management of hospital resources. There is considerable interest in predicting the LoS of patients in order to improve patient care, control hospital costs and increase service efficiency. This paper presents an extensive review of the literature, examining the approaches employed for the prediction of LoS in terms of their merits and shortcomings. In order to address some of these problems, a unified framework is proposed to better generalise the approaches that are being used to predict length of stay. This includes the investigation of the types of routinely collected data used in the problem as well as recommendations to ensure robust and meaningful knowledge modelling. This unified common framework enables the direct comparison of results between length of stay prediction approaches and will ensure that such approaches can be used across several hospital environments. A literature search was conducted in PubMed, Google Scholar and Web of Science from 1970 until 2019 to identify LoS surveys which review the literature. 32 Surveys were identified, from these 32 surveys, 220 papers were manually identified to be relevant to LoS prediction. After removing duplicates, and exploring the reference list of studies included for review, 93 studies remained. Despite the continuing efforts to predict and reduce the LoS of patients, current research in this domain remains ad-hoc; as such, the model tuning and data preprocessing steps are too specific and result in a large proportion of the current prediction mechanisms being restricted to the hospital that they were employed in. Adopting a unified framework for the prediction of LoS could yield a more reliable estimate of the LoS as a unified framework enables the direct comparison of length of stay methods. Additional research is also required to explore novel methods such as fuzzy systems which could build upon the success of current models as well as further exploration of black-box approaches and model interpretability.

Variations in LOS and its main determinants overtime at an academic spinal care center from 2006-2019

Objectives

Efforts to safely reduce hospital LOS while maintaining quality outcomes and patient satisfaction are paramount. The primary goal of this study was to assess trends in LOS at a high-volume quaternary care spine center. Secondary goals were to assess trends in factors most associated with prolonged LOS.

Methods

This is a prospective study of all consecutive patients admitted from January 2006 to December 2019. Data included demographics, diagnostic category (degenerative, oncology, deformity, trauma, other), LOS (mean, median, interquartile range, standard deviation, defined as days from admission to discharge), and in-hospital adverse events.

Results

A total of 13,493 patients were included. Overall LOS has not changed over time with an overall median of 6.3 days (p = 0.451). Median LOS significantly increased for patients treated for degenerative pathology from 2.2 days in 2006 to 3.2 days in 2019 (p = 0.019). LOS has not changed for patients treated for deformity (overall median 6.8 days, p = 0.411), oncology (overall median 11.0 days, p = 0.051), or trauma (overall median 11.8 days, p = 0.582). Emergency admissions increased 3.2%/year for degenerative pathologies (p =  < 0.001). Mean age has increased from 48.4 years in 2006 to 58.1 years in 2019 (p =  < 0.001). This trend was observed in the deformity, degenerative and trauma group, not for patients treated for oncological disease. More adverse events were significantly associated with increasing age.

Conclusion

This is the first North American study to comprehensively analyze trends in LOS for spinal surgery overtime in an academic center. Overall, LOS has not changed from 2006–2019. Various factors that influence LOS appear to have balanced each other. It may also be explained by the changing epidemiology of both elective and emergency surgeries. These findings provide opportunities for intervention and improvement, targeted at the geriatric population, to reduce length of hospitalization.

Comparison of Microendoscopic Laminotomy (MEL) Versus Spinous Process-Splitting Laminotomy (SPSL) for Multi Segmental Lumbar Spinal Stenosis

Aims 

This study was aimed to compare the perioperative and postoperative outcomes of patients who underwent posterior decompression for multi-segmental lumbar spinal stenosis by microendoscopic laminotomy (MEL) versus spinous process-splitting laminotomy (SPSL) retrospectively.

Methods

We retrospectively reviewed 73 consecutive patients who underwent two or three levels MEL (n=51) or SPSL (n=22) for lumbar spinal stenosis between 2012 and 2018. The perioperative outcomes were operative time, intraoperative blood loss, length of postoperative hospital stay, complications, and reoperation rate. The postoperative outcomes were evaluated using a visual analog scale (VAS) and the Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ) scores at one year postoperatively.

Results

The mean follow-up time was 26.6 months in MEL and 35.6 months in SPSL. The mean operative time was significantly longer in MEL than SPSL (two levels, 183.6 ± 43.2 versus 134.8 ± 26.7 min, respectively; three levels: 241.6 ± 47.8 versus 179.9 ± 28.8 min, respectively). MEL's mean postoperative hospital stay was significantly shorter than SPSL (12.3 ± 5.9 versus 15.5 ± 7.2 days, respectively). There was no significant difference in the mean intraoperative blood loss, complication rate, reoperation rate, and postoperative outcomes between the two groups.

Conclusions

This study suggests that both techniques are effective in treating multi-segmental lumbar spinal stenosis. There was no significant difference between the two procedures in intraoperative blood loss (IBL), complications rate, reoperation rate, or improvement in VAS and Japanese Orthopaedic Association Back Pain Evaluation Questionnaire (JOABPEQ) scores. MEL had an advantage in the postoperative hospital stay.

Enhanced Recovery Components for Posterior Lumbar Spine Fusion: Harnessing National Data to Compare Protocols

STUDY DESIGN

This was a retrospective cohort study.

OBJECTIVE

The aim of this study was to assess the most commonly used components of enhanced recovery after surgery (ERAS) combinations and their relative effectiveness.

SUMMARY OF BACKGROUND DATA

Data is lacking on use and effectiveness of various ERAS combinations which are increasingly used in spine surgery.

MATERIALS AND METHODS

Posterior lumbar fusion cases were extracted from the Premier Healthcare claims database (2006-2016). Seven commonly included components in spine ERAS protocols were identified: (1) multimodal analgesia, (2) tranexamic acid, (3) antiemetics on the day of surgery, (4) early physical therapy, (5) no urinary catheter, (6) no patient-controlled analgesia, and (7) no wound drains. Outcomes were: length of stay, "any complication," blood transfusion, and hospitalization cost. Mixed-effects models measured associations between the most common ERAS combinations and outcomes, separately for 2006-2012 and 2013-2016. Odds ratios (ORs) and 95% confidence intervals (CIs) are reported.

RESULTS

Among 97,419 (74%; 2006-2012) and 34,932 (26%; 2013-2016) cases ERAS component variations decreased over time. The most commonly used combinations included multimodal analgesia, antiemetics, early physical therapy, avoidance of a urinary catheter, patient-controlled analgesia and drains (10% n=9401 and 19% n=6635 in 2006-2012 and 2013-2016, respectively), and did not include tranexamic acid. Multivariable models revealed minor differences between ERAS combinations in terms of length of stay and costs. The most pronounced beneficial effects in 2006-2012 were seen for the second most commonly (compared with less often) used ERAS combination(s) in terms of blood transfusion (OR: 0.65; CI: 0.59-0.71) and "any complication" (OR: 0.73; CI: 0.66-0.80), both P<0.05. In 2013-2016 the third most commonly used ERAS combination showed the strongest effect: blood transfusion OR: 0.63; CI: 0.50-0.78, P<0.05.

CONCLUSIONS

ERAS component variations decreased over time; maximum benefits were particularly seen in terms of transfusion and complication risk reduction. These findings may inform future ERAS utilization and clinical trials comparing various ERAS protocols.

Geriatric Preoperative Optimization: A Review

This review summarizes best practices for the perioperative care of older adults as recommended by the American Geriatrics Society, American Society of Anesthesiologists, and American College of Surgeons, with practical implementation strategies that can be readily implemented in busy preoperative or primary care clinics. In addition to traditional cardiopulmonary screening, older patients should undergo a comprehensive geriatric assessment. Rapid screening tools such as the Mini-Cog, Patient Health Questionnaire-2, and Frail Non-Disabled Survey and Clinical Frailty Scale, can be performed by multiple provider types and allow for quick, accurate assessments of cognition, functional status, and frailty screening. To assess polypharmacy, online resources can help providers identify and safely taper high-risk medications. Based on preoperative assessment findings, providers can recommend targeted prehabilitation, rehabilitation, medication management, care coordination, and/or delirium prevention interventions to improve postoperative outcomes for older surgical patients. Structured goals of care discussions utilizing the question-prompt list ensures that older patients have a realistic understanding of their surgery, risks, and recovery. This preoperative workup, combined with engaging with family members and interdisciplinary teams, can improve postoperative outcomes.

Enhanced Recovery After Surgery Protocol for Lumbar Spinal Surgery With Regional Anesthesia: A Retrospective Review

Background

In the USA, spinal fusion surgery incurs the highest hospital cost. Despite the recent advances in the application of enhanced recovery after surgery (ERAS) protocols in these surgeries, the efficacy of these protocols in improving the perioperative outcomes remains unclear. We conducted a retrospective review as a quality improvement (QI) project to analyze the efficacy of the ERAS protocol with intraoperative modified thoracolumbar interfascial plane (mTLIP) block to determine whether these interventions reduce the length of stay (LOS) and opioid requirements during the postoperative period.

Methods

Retrospective reviews of adult patients (>18 yrs) who underwent elective lumbar spinal fusion or laminectomy at our institute were reviewed. Patients were administered oral gabapentin and acetaminophen preoperatively. Prior to incision, an mTLIP block was performed using liposomal bupivacaine. Intraoperatively, ketamine, ketorolac, and tranexamic acid were administered. Postoperative, pain control was treated with scheduled acetaminophen, ketorolac, and low-dose ketamine infusion. Hydromorphone and oxycodone were administered for breakthrough pain. Patients who underwent a similar procedure without ERAS protocol were chosen as controls to assess the efficacy of ERAS protocol. Data pertaining to patient demographics, operative and perioperative use of analgesics, LOS, 90-day readmissions, and morbidity were collected. Patients who underwent laminectomy and spinal fusion surgery were analyzed separately

Results

A total of 65 patients were identified; laminectomy (n- 24), spinal fusion surgery (n-41). In the laminectomy patients, treatment group (n-12) and the control group (n-12). Treatment group receiving the ERAS protocol with the regional anesthesia via the mTLIP (n= 12) opioid requirement was reduced by 51.42% [P = 0.03], and LOS was reduced by 2.04 days [P = 0.01] [0.75 days vs. 2.79 days]). In the spinal fusion patients, treatment group (n-15) and control group (n-26). Treatment group receiving the ERAS protocol with the use of regional anesthesia via the mTLIP group (n= 15), opioid requirement was reduced by 38.33% [P = 0.04]. No difference in LOS was observed at 5.4 days vs. 4.88 days (P = 0.28).

Conclusion

ERAS protocol in patients undergoing lumbar spinal surgery incorporated the use of regional anesthesia via the mTLIP block, we observed there is a statistically significant reduction in the LOS for lumbar laminectomy and a significant reduction in opioid administration for lumbar laminectomies and spinal fusion surgery.

Perioperative management of children with neuromuscular disorders based on a common protocol: A prospective, national study in Italy

BACKGROUND

Children with neuromuscular diseases (NMDs) often display respiratory muscle weakness which increases the risk of postoperative pulmonary complications (PPCs) after general anaesthesia. Non-invasive ventilation (NIV) associated with mechanical insufflation-exsufflation (MI-E) can reduce the incidence and severity of PPCs. The aim of this study was to report our experience with a shared perioperative protocol that consists in using NIV combined with MI-E to improve the postoperative outcome of NMD children (IT-NEUMA-Ped).

METHOD

We conducted a multicentre, observational study on 167 consecutive paediatric patients with NMDs undergoing anaesthesia from December 2015 to December 2018 in a network of 13 Italian hospitals.

RESULTS

We found that 89% of the 167 children (mean age 8 years old) were at high risk of PPCs, due to the presence of at least one respiratory risk factor. In particular, 51% of them had preoperative ventilatory support dependence. Only 14 (8%) patients developed PPCs, and only two patients needed tracheostomy. Average hospital length of stay (LOS) was 6 (2-14) days. The study population was stratified according to preoperative respiratory devices dependency and invasiveness of the procedure. Patients with preoperative ventilatory support dependence showed significantly higher intensive care unit (ICU) admission rate and longer hospital LOS.

CONCLUSION

Disease severity seems to be more related to the outcome of this population than invasiveness of procedures. NIV combined with MI-E can help in preventing and resolve PPCs.

Machine Learning Prediction of Length of Stay in Adult Spinal Deformity Patients Undergoing Posterior Spine Fusion Surgery

(1) Background: Length of stay (LOS) is a commonly reported metric used to assess surgical success, patient outcomes, and economic impact. The focus of this study is to use a variety of machine learning algorithms to reliably predict whether a patient undergoing posterior spinal fusion surgery treatment for Adult Spine Deformity (ASD) will experience a prolonged LOS. (2) Methods: Patients undergoing treatment for ASD with posterior spinal fusion surgery were selected from the American College of Surgeon's NSQIP dataset. Prolonged LOS was defined as a LOS greater than or equal to 9 days. Data was analyzed with the Logistic Regression, Decision Tree, Random Forest, XGBoost, and Gradient Boosting functions in Python with the Sci-Kit learn package. Prediction accuracy and area under the curve (AUC) were calculated. (3) Results: 1281 posterior patients were analyzed. The five algorithms had prediction accuracies between 68% and 83% for posterior cases (AUC: 0.566-0.821). Multivariable regression indicated that increased Work Relative Value Units (RVU), elevated American Society of Anesthesiologists (ASA) class, and longer operating times were linked to longer LOS. (4) Conclusions: Machine learning algorithms can predict if patients will experience an increased LOS following ASD surgery. Therefore, medical resources can be more appropriately allocated towards patients who are at risk of prolonged LOS.

Preoperative HbA1c > 8% Is Associated With Poor Outcomes in Lumbar Spine Surgery: A Michigan Spine Surgery Improvement Collaborative Study

BACKGROUND

Preoperative hemoglobin A1c (HbA1c) is a useful screening tool since a significant portion of diabetic patients in the United States are undiagnosed and the prevalence of diabetes continues to increase. However, there is a paucity of literature analyzing comprehensive association between HbA1c and postoperative outcome in lumbar spine surgery.

OBJECTIVE

To assess the prognostic value of preoperative HbA1c > 8% in patients undergoing elective lumbar spine surgery.

METHODS

The Michigan Spine Surgery Improvement Collaborative (MSSIC) database was queried to track all elective lumbar spine surgeries between January 2018 and December 2019. Cases were divided into 2 cohorts based on preoperative HbA1c level (≤8% and >8%). Measured outcomes include any complication, surgical site infection (SSI), readmission (RA) within 30 d (30RA) and 90 d (90RA) of index operation, patient satisfaction, and the percentage of patients who achieved minimum clinically important difference (MCID) using Patient-Reported Outcomes Measurement Information System.

RESULTS

We captured 4778 patients in this study. Our multivariate analysis demonstrated that patients with HbA1c > 8% were more likely to experience postoperative complication (odds ratio [OR] 1.81, 95% CI 1.20-2.73; P = .005) and be readmitted within 90 d of index surgery (OR 1.66, 95% CI 1.08-2.54; P = .021). They also had longer hospital stay (OR 1.12, 95% CI 1.03-1.23; P = .009) and were less likely to achieve functional improvement after surgery (OR 0.64, 95% CI 0.44-0.92; P = .016).

CONCLUSION

HbA1c > 8% is a reliable predictor of poor outcome in elective lumbar spine surgery. Clinicians should consider specialty consultation to optimize patients' glycemic control prior to surgery.

Postoperative bowel complications after non-shunt-related neurosurgical procedures: case series and review of the literature

Postoperative bowel complications after non-shunt-related neurosurgical procedures are relatively rare. In an effort to identify the primary risk factors, we evaluated postoperative bowel complications in cranial, endovascular, and spinal procedures in neurosurgery patients using our own institutional case series along with a literature review.We identified severe postoperative bowel complications that occurred at our institution after non-shunt-related neurosurgical procedures between July 2016 and December 2018. We also completed a systematic review of PubMed/MEDLINE using search terms related to bowel complications.At our institution, 7 patients (average age 49.7 ± 9.5 years, range 34-60; no apparent sex predilection) had severe postoperative bowel complications after undergoing a total of 10 neurosurgical procedures. Diagnosis was on average 1 week postoperatively (range 5-13 days), and the time between radiographic/clinical diagnosis and either surgery or death was 1.3 ± 1.4 days (range 0-4 days). Bowel perforation occurred in 4 patients. Five of the patients died, 3 as a direct result of the bowel complication. In the literature review, we identified 6487 spine and 66 cranial and/or endovascular bowel complications after neurosurgical procedures.Our case series and literature review demonstrate that severe postoperative bowel complications after non-shunt-related neurosurgical procedures, while rare, carry significant morbidity/mortality despite prompt and aggressive management. These can also happen without direct injury to bowel tissue, instead occurring as sequelae of inflammatory processes, as well as from delayed mobility, extended use of opiate narcotics, and lack of standardized protocols to ensure early bowel movements that likely stems from unfamiliarity with this potentially devastating complication.

Perioperative Intravenous Lidocaine Infusion for Post-operative Analgesia in Patients undergoing Surgery of the Spine Systematic Review and Meta-analysis

OBJECTIVE

We conducted a systematic review and meta-analysis to examine the impact of perioperative intravenous lidocaine infusion on pain management scores, opioid consumption, adverse events and hospital length of stay in patients undergoing spinal surgery.

METHODS

We included randomized controlled trials (RCT's) evaluating the use of perioperative intravenous lidocaine in adult and paediatric patients undergoing spinal surgery. Primary outcomes were post-operative pain scores at rest, at two, four- six, twenty-four and forty-eight hours and adverse events attributable to lidocaine administration. We searched electronic databases from inception to present. We used Cochrane's standard methods. We used a random-effects model to synthetize data. We conducted three subgroup analysis: major versus minor surgery, patients with chronic pain conditions versus patients without, and adult versus paediatric.

RESULTS

A total of eight studies were included comparing patients having intravenous lidocaine (n = 349) to controls (n = 343). Intravenous lidocaine administration was associated with significantly reduced visual analogue pain scores at two MD= -1.13, four-six MD =-0.79 and twenty-four hours MD= -0.50 post-operatively. In the adults, efficacy of treatment was extended to forty-eight hours MD= -0.72. Perioperative intravenous lidocaine administration was associated with reduced peri-operative opioid consumption at twenty-four and forty-eight as well as decreased hospital length of stay.

CONCLUSION

Perioperative intravenous lidocaine infusion consistently improves analgesic measures in adult and paediatric population in the first twenty-four hours, with an effective decrease in opioid consumption noted to forty-eight hours. These results are most generalizable in the adult population in the first four-six to twenty four post-operative hours.

Discharge to a Non-Home Destination Following Total Ankle Arthroplasty (TAA): An Analysis of the ACS-NSQIP Database

Despite an increasing trend in the number of total ankle arthroplasties (TAAs) being done globally, current evidence remains limited with regards to factors influencing a non-home discharge to a facility following the procedure. The 2012-2016 American College of Surgeons - National Surgical Quality Improvement Program database was queried using Current Procedural Terminology code 27702 for patients undergoing TAA. Discharge to a destination was categorized into home and non-home. Multivariate analysis using logistic regression models were used to evaluate independent risk factors associated with non-home discharge disposition. As a secondary objective, we also evaluated risk factors associated with a prolonged length of stay (LOS) >2 days. A total of 722 TAAs were retrieved for final analysis. A total of 68 (9.4%) patients experienced a non-home discharge following the surgery. Independent factors for a non-home discharge were a LOS >2 days (odds ratio [OR] 10.51), age ≥65 years (OR 4.52), female (OR 2.90), hypertension (OR 2.63), and American Society of Anesthesiologists >II (OR 2.01). A total of 174 (24.1%) patients stayed in the hospital for more than 2 days. Significant risk factors for LOS >2 days were age ≥65 years (OR 1.62), female (OR 1.53), operative time >150 minutes (OR 1.91), and an inpatient admission status (OR 4.74). With limited literature revolving around outcomes following TAA, the current study identifies significant predictors associated with a non-home discharge. Providers should consider preoperatively risk-stratifying and expediting discharge in these patients to reduce the costs associated with a prolonged hospital length of stay.

Consensus statement for perioperative care in lumbar spinal fusion: Enhanced Recovery After Surgery (ERAS®) Society recommendations

BACKGROUND

Enhanced Recovery After Surgery (ERAS) evidence-based protocols for perioperative care have led to improvements in outcomes in numerous surgical areas, through multimodal optimization of patient pathway, reduction of complications, improved patient experience and reduction in the length of stay. ERAS represent a relatively new paradigm in spine surgery.

PURPOSE

This multidisciplinary consensus review summarizes the literature and proposes recommendations for the perioperative care of patients undergoing lumbar fusion surgery with an ERAS program.

STUDY DESIGN

This is a review article.

METHODS

Under the impetus of the ERAS® society, a multidisciplinary guideline development group was constituted by bringing together international experts involved in the practice of ERAS and spine surgery. This group identified 22 ERAS items for lumbar fusion. A systematic search in the English language was performed in MEDLINE, Embase, and Cochrane Central Register of Controlled Trials. Systematic reviews, randomized controlled trials, and cohort studies were included, and the evidence was graded according to the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) system. Consensus recommendation was reached by the group after a critical appraisal of the literature.

RESULTS

Two hundred fifty-six articles were included to develop the consensus statements for 22 ERAS items; one ERAS item (prehabilitation) was excluded from the final summary due to very poor quality and conflicting evidence in lumbar spinal fusion. From these remaining 21 ERAS items, 28 recommendations were included. All recommendations on ERAS protocol items are based on the best available evidence. These included nine preoperative, eleven intraoperative, and six postoperative recommendations. They span topics from preoperative patient education and nutritional evaluation, intraoperative anesthetic and surgical techniques, and postoperative multimodal analgesic strategies. The level of evidence for the use of each recommendation is presented.

CONCLUSION

Based on the best evidence available for each ERAS item within the multidisciplinary perioperative care pathways, the ERAS® Society presents this comprehensive consensus review for perioperative care in lumbar fusion.

Hospitalization Costs and Length of Stay in Chinese Naval Hospitals Between 2008 and 2016 Based on Influencing Factors: A Longitudinal Comparison

INTRODUCTION

A retrospective review conducted in three hospitals of Guangdong and Hainan, China. To analyze the variation tendency of mean hospitalization costs and length of stay (LOS) in naval hospitals over nine years, paying special attention to the factors affecting hospitalization costs and LOS to provide a reference base for health resource allocation in naval hospitals.

MATERIALS AND METHODS

A total of 21,375 cases of military patients who were hospitalized and treated in three naval hospitals between January 2008 to December 2016 were extracted from the military health system. There were 16,278 complete and effective cases during those nine years. The situation, trends, and factors influencing hospitalization costs and LOS were analyzed using descriptive statistics, Mann-Whitney U test, Kruskal-Wallis H test, and multiple linear regressions.

RESULTS

The following factors showed statistically significant differences in hospitalization costs: special care, primary care, year, military rank, critical illness, allergies, and condition (p < 0.0001); and number of hospitalizations, gender, and age (p < 0.01). The following factors showed statistically significant differences in hospital LOS: year, number of hospitalizations, outcomes, military rank, special care, severity of illness, and condition (p < 0.0001); allergy (p < 0.01); and service and gender (p < 0.05). LOS between 2008-2016 showed a decreasing tendency, while hospitalization costs showed an increasing trend. There were 6 factors that affected Abstract (or Structured Summary) both the cost of hospitalization and LOS: special care, year, military rank, condition, allergy, and gender.

CONCLUSIONS

The results suggest that improving efficiency of military hospital require strengthening hierarchical referrals and controlling hospital LOS. Shortening LOS, optimizing clinical pathways, and reasonably controlling the costs associated with medicines and surgery can help reduce hospitalization costs for military patients. Controlling the growth of hospitalization costs can help avoid the physical and psychological burden of medical over-treatment on patients and may also optimize the allocation of military health resources.

Evaluation of Risk Factors for Postoperative Urinary Retention in Elective Thoracolumbar Spinal Fusion Patients

STUDY DESIGN

Retrospective case series.

OBJECTIVES

Postoperative urinary retention (POUR) represents a common postoperative complication of all elective surgeries. The aim of this study was to identify demographic, comorbid, and surgical factors risk factors for POUR in patients who underwent elective thoracolumbar spine fusion.

METHODS

Following institutional review board approval, patients who underwent elective primary or revision thoracic and lumbar instrumented spinal fusion in a 2-year period in tertiary and academic institution were reviewed. Sex, age, BMI, preoperative diagnosis, comorbid conditions, benign prostatic hyperplasia, diabetes, primary or revision surgery status, narcotic use, and operative factors were collected and analyzed between patients with and without POUR.

RESULTS

Of the 217 patients reviewed, 54 (24.9%) developed POUR. The average age for a patient with POUR was 67 ± 9, as opposed to 59 ± 10 for those without (P < .0001). Single-level fusions were associated with a 0% incidence of POUR, compared with 54.5% in 6 or more levels. The average hospital stay was increased by 1 day for those who had POUR (5.8 ± 3.3 vs 4.9 ± 3.9 days). There was no significant association with other demographic variables, comorbid conditions, or surgical factors.

CONCLUSIONS

POUR was a common complication in our patient cohort, with an incidence of 24.9%. Our findings demonstrate that patients who developed POUR are significantly older and have larger constructs. Patients who developed POUR also had longer in-hospital stays. Although our study supports other findings in the spine literature, more prospective data is needed to define diagnostic criteria of POUR as well as its management.

Factors Affecting Length of Stay Following 3-Column Spinal Osteotomies in Pediatric Patients

STUDY DESIGN

A retrospective analysis.

OBJECTIVES

Length of stay (LOS) is one of the important indicators for the quality of patient care. Although perioperative complications are known to be associated with longer LOS in general, little has been understood regarding LOS after 3-column spinal osteotomy for the rigid spinal deformity in pediatric population. The main objective of the article is to identify factors affecting the LOS in pediatric patients undergoing 3-column posterior spinal osteotomies.

METHODS

Following research ethics approval, a retrospective review was performed of 35 consecutive posterior 3-column spinal osteotomies performed on pediatric patients in a single academic institution. Patients' demographic data, preoperative comorbidities, details of operative procedures, intraoperative complications, and postoperative complications were investigated, and LOS was compared among the groups.

RESULTS

The mean LOS was 9.0 days, and the median LOS was 7 days (range = 4-23 days). Low body weight and syndromic deformity were associated with longer LOS. Operation time ≥6 hours and total perioperative fluid administration greater than or equal to twice the estimated blood volume were associated with longer LOS. Among postoperative complications, those with respiratory complication had prolonged stay.

CONCLUSIONS

Preoperative low body weight and syndromic scoliosis had longer LOS after 3-column osteotomies. Excessive fluid administration and respiratory complications were associated with longer LOS.

Factors associated with length of stay after single-level posterior thoracolumbar instrumented fusion primarily for degenerative spondylolisthesis

Background:

The postoperative length of stay (LOS) is an important prognostic indicator for patients undergoing instrumented spinal fusion surgery. Increased LOS can be associated with higher infection rates, higher incidence of venous thromboembolisms, and a greater frequency of hospital-acquired delirium. The day of surgery and early postoperative mobilization following single-level posterior thoracolumbar stabilizations may impact the LOS. In this study, we evaluated the effects of weekday (Monday–Thursday) versus weekend (Friday–Sunday) surgery and postoperative rehabilitation services on LOS following primarily transforaminal lumbar interbody fusion (TLIF) for degenerative spondylolisthesis (DS).

Methods:

In this single-institution retrospective chart review, we identified 198 adults who received a one-level thoracolumbar instrumented fusion through a posterior only approach (2017–2019). The majority of these patients underwent TLIF for DS. A zero truncated negative binomial model was used for predictors of the primary outcome of LOS (weekday of surgery, duration of operation, first or repeat surgery, and physical therapy/ occupational therapy [PT/OT] evaluation). Covariates were sex, age, and body mass index.

Results:

We found that operative duration, repeat surgery, and in-hospital PT/OT all significantly increased the LOS (P < 0.05). Furthermore, those undergoing weekday surgery (Monday–Thursday) had 1.29 times longer LOS than those on the weekend (Friday–Sunday), but this did not reach statistical significance (P = 0.09).

Conclusion:

In our patient sample, duration, repeat surgery, and in-hospital PT/OT increased the LOS following primarily TLIF for DS. The increased LOS in these cases is likely due to higher overall disease burden and case complexity. In addition, those patients with a greater likelihood of extended recovery and ongoing neurologic deficits are more likely to have PT/OT evaluations. Notably, LOS was not significantly impacted by the day of surgery at our institution.

Do Preoperative Epidural Steroid Injections Increase the Risk of Infection After Lumbar Spine Surgery?

STUDY DESIGN

Retrospective study.

OBJECTIVE

To elucidate an association between preoperative lumbar epidural corticosteroid injections (ESI) and infection after lumbar spine surgery.

SUMMARY OF BACKGROUND DATA

ESI may provide diagnostic and therapeutic benefit; however, concern exists regarding whether preoperative ESI may increase risk of postoperative infection.

METHODS

Patients who underwent lumbar decompression alone or fusion procedures for radiculopathy or stenosis between 2000 and 2017 with 90 days follow-up were identified by ICD/CPT codes. Each cohort was categorized as no preoperative ESI, less than 30 days, 30 to 90 days, and greater than 90 days before surgery. The primary outcome measure was postoperative infection requiring reoperation within 90 days of index procedure. Demographic information including age, sex, body mass index (BMI), Charlson Comorbidity Index (CCI) was determined. Comparison and regression analysis was performed to determine an association between preoperative ESI exposure, demographics/comorbidities, and postoperative infection.

RESULTS

A total of 15,011 patients were included, 5108 underwent fusion and 9903 decompression only. The infection rate was 1.95% and 0.98%, among fusion and decompression patients, respectively. There was no association between infection and preoperative ESI exposure at any time point (1.0%, P = 0.853), ESI within 30 days (1.37%, P = 0.367), ESI within 30 to 90 days (0.63%, P = 0.257), or ESI > 90 days (1.3%, P = 0.277) before decompression surgery. There was increased risk of infection in those patients undergoing preoperative ESI before fusion compared to those without (2.68% vs. 1.69%, P = 0.025). There was also increased risk of infection with an ESI within 30 days of surgery (5.74%, P = 0.005) and when given > 90 days (2.9%, P = 0.022) before surgery. Regression analysis of all patients demonstrated that fusion (P < 0.001), BMI (P < 0.001), and CCI (P = 0.019) were independent predictors of postoperative infection, while age, sex, and preoperative ESI exposure were not.

CONCLUSION

An increased risk of infection was found in patients with preoperative ESI undergoing fusion procedures, but no increased risk with decompression only. Fusion, BMI, and CCI were predictors of postoperative infection.Level of Evidence: 3.

Utilization of the American Society of Anesthesiologists (ASA) classification system in evaluating outcomes and costs following deformity spine procedures

PURPOSE

Adult spinal deformity (ASD) has increased prevalence in aging populations. Due to the high cost of surgery, studies have evaluated risk factors that predict readmissions and poor outcomes. The American Society of Anesthesiologists (ASA) classification system has been applied to patients with ASD to assess preoperative health and assess the correlation between ASA class and postoperative complications. This study evaluates the relationship between ASA and complications, length of stay (LOS), and direct costs following spine deformity surgery.

METHODS

Patients undergoing spine deformity surgery at a single institution from 2008-2016 were included and stratified based upon ASA status. Primary outcomes included patient demographics, adjusted LOS, and cost of care. Secondary measures compared between cohorts included adverse events, non-home discharge, and readmission rates.

RESULTS

442 patients with ASD were included in this study. Higher ASA class was correlated with greater Elixhauser Comorbidity Index (ECI) scores (p < 0.0001) and older age (p < 0.0001). Univariate analysis showed longer LOS (p < 0.0001) and greater direct costs in patients with higher ASA class (p < 0.0001). Patients in ASA Class III or IV had the greatest incidence of ICU stay when compared to patients without systemic disease (p < 0.0001). Upon multivariable regression analysis, high ASA class was associated with higher rates of non-home discharge (OR 5.0, 95% CI 3.1-8.1). Direct costs were greater for higher ASA class (regression estimate =  + $9,666, p = 0.002).

CONCLUSION

This study demonstrates that ASA class is correlated with a more complicated postoperative hospital course, greater rates of non-home discharge, total direct costs in spine deformity patients.

Morbidity and mortality following degenerative spine surgery in a prospective cohort of 1687 consecutive surgical procedures

STUDY DESIGN

Prospective, observational cohort study.

OBJECTIVE

To determine the true incidence of adverse events (AEs) in European adults undergoing surgery for degenerative spine diseases. The majority of surgeries performed for degenerative spinal diseases are elective, and the need for adequate estimation of risk-benefit of the intended surgery is imperative. A cumbersome obstacle for adequate estimation of surgery-related risks is that the true incidence of complications or adverse events (AEs) remains unclear.

METHODS

All adult patients (≥ 18 years) undergoing spine surgery at a single center from February 1, 2016, to January 31, 2017, were prospectively and consecutively included. Morbidity and mortality were determined using the Spine AdVerse Events Severity (SAVES) system. Additionally, the correlation between the AEs and length of stay (LOS) and mortality was assessed.

RESULTS

A total of 1687 procedures were performed in the study period, and all were included for analysis. Of these, 1399 (83%) were lumbar procedures and 288 (17%) were cervical. The overall incidence of AEs was 47.4%, with a minor AE incidence of 43.2% and a major of 14.5%. Female sex (OR 1.5 [95% CI 1.2-1.9), p < 0.001) and age > 65 years (OR 1.5 [95% CI 1.1-1.7], p = 0.012) were significantly associated with increased odds of having an AE.

CONCLUSION

Based on prospectively registered AEs in this single-center study, we validated the use of the SAVES system in a European population undergoing spine surgery due to degenerative spine disease. We found a higher incidence of AEs than previously reported in retrospective studies. The major AEs registered occurred significantly more often perioperatively and in patients > 65 years.

Cervical Spinal Fusion in Adult Patients With Rheumatoid Arthritis: A National Analysis of Complications and 90-day Readmissions

STUDY DESIGN

Retrospective cohort study.

OBJECTIVE

The purpose of this study was to utilize the National Readmission Database to determine the national estimates of complication and 90-day readmission rates associated with cervical spinal fusion in adult patients with rheumatoid arthritis (RA).

SUMMARY OF BACKGROUND

RA patients who undergo cervical spine surgery are known to be at high risk for readmissions, which are costly and may not be reimbursed by Medicare.

METHODS

The National Readmission Database was queried for adults (>18 years) diagnosed with RA undergoing cervical spine fusion. Patient, operative, and hospital factors were assessed in bivariate analyses. Independent risk factors for readmissions were identified using stepwise multivariate logistic regression.

RESULTS

From 2013 to 2014, a total of 5597 RA patients (average age: 61.5 ± 11.2 years, 70.9% female) underwent cervical spine fusion. A total of 691 (12.3%) patients were readmitted within 90 days (). Index inpatient complications included dysphagia (readmitted: 7.9% vs. non-readmitted: 5.1%; P = 0.003), urinary tract infection (UTI) (8.8% vs. 3.7%; P < 0.001), respiratory-related complications (7.6% vs. 3.4%; P < 0.001), and implant-related complications (5.4% vs. 2.7%; P < 0.001). Multivariate logistic regression demonstrated the following as the strongest independent predictors for 90-day readmission: intraoperative bleeding (odds ratio [OR]: 3.6, P = 0.001), inpatient Deep Vein Thrombosis (DVT) (OR 4.1, P = 0.004), and patient discharge against medical advice (OR 33.5, P = 0.001).

CONCLUSION

Readmission rates for RA patients undergoing cervical spine surgery are high and most often due to postoperative infection (septicemia, UTI, pneumonia, wound). Potential modifiable factors which may improve outcomes include minimizing intraoperative blood loses, postoperative DVT prophylaxis, and discharge disposition.

LEVEL OF EVIDENCE

3.

The Effect of Preoperative Renal Failure on Outcomes Following Infrainguinal Endovascular Interventions for Peripheral Arterial Disease

PURPOSE

To analyze the effect of a patient's renal failure status on acute outcomes after lower extremity endovascular interventions for peripheral artery disease.

MATERIALS AND METHODS

A retrospective analysis of the American College of Surgery National Surgical Quality Improvement Program database from 2014 to 2017 was conducted. Patients were included based on current procedural terminology codes. They were divided into renal failure cohorts. Six thousand seven hundred and sixty-five patients were included in the analysis, 11.0% of whom had renal failure. A univariate analysis was performed using chi-squared test or Fischer's exact test as appropriate. Multivariate logistic regression models were constructed, while controlling for relevant patient factors, to identify the effect of renal failure on several outcomes of interest after the intervention. A sensitivity analysis was performed with a propensity score-matched cohort.

RESULTS

Patients with renal failure were more likely to have infrapopliteal interventions (38.0% vs 20.9%), critical limb ischemia with tissue loss (73.5% vs 38.9%), diabetes (70.9% vs 52.3%), preoperative wound infection (59.2% vs 30.7%), mortality (5.1% vs 1.3%), prolonged hospital stay (68.5% vs 46.5%), transfusion after the intervention (13.3% vs 9.1%), reoperation (18.3% vs 9.5%), and readmission (24.9% vs 12.6%), compared to patients without renal failure. The multivariate analysis found renal failure to be significant for mortality (odds ratio [OR] = 4.11, 95% confidence interval [CI] = 2.71-6.24), any complication (OR = 2.03, 95% CI = 1.72-2.39), extended length of stay (OR = 1.53, 95% CI = 1.28-1.83), sepsis (OR = 2.37, 95% CI = 1.60-3.51), readmission (OR = 1.89, 95% CI = 1.57-2.29), reoperation (OR = 1.84, 95% CI = 1.48-2.27), major adverse cardiovascular event (OR = 3.50, 95% CI = 2.54-4.84), and major adverse limb event (OR = 1.97, 95% CI = 1.55-2.51). P value was <.001 unless otherwise noted.

CONCLUSIONS

Renal failure before the intervention places patients at a significantly elevated risk of morbidity and mortality following endovascular revascularization procedures for peripheral artery disease.