Risk Analysis Index and 30-Day Mortality after Brain Tumor Resection: A Multicenter Frailty Analysis of 31,776 Patients from 2012 to 2020.

Introduction The aim of this study was to evaluate the discriminative accuracy of the preoperative Risk Analysis Index (RAI) frailty score for prediction of mortality or transition to hospice within 30 days of brain tumor resection (BTR) in a large multicenter, international, prospective database. Methods Records of BTR patients were extracted from the American College of Surgeons National Surgical Quality Improvement Program (2012-2020) database. The relationship between the RAI frailty scale and the primary end point (mortality or discharge to hospice within 30 days of surgery) was assessed using linear-by-linear proportional trend tests, logistic regression, and receiver operating characteristic (ROC) curve analysis (area under the curve as C-statistic). Results Patients with BTR ( N = 31,776) were stratified by RAI frailty tier: 16,800 robust (52.8%), 7,646 normal (24.1%), 6,593 frail (20.7%), and 737 severely frail (2.3%). The mortality/hospice rate was 2.5% ( n = 803) and was positively associated with increasing RAI tier: robust (0.9%), normal (3.3%), frail (4.6%), and severely frail (14.2%) ( p < 0.001). Isolated RAI was a robust discriminatory of primary end point in ROC curve analysis in the overall BTR cohort (C-statistic: 0.74; 95% confidence interval [CI]: 0.72-0.76) as well as the malignant (C-statistic: 0.74; 95% CI: 0. 67-0.80) and benign (C-statistic: 0.71; 95% CI: 0.70-0.73) tumor subsets (all p < 0.001). RAI score had statistically significantly better performance compared with the 5-factor modified frailty index and chronological age (both p < 0.0001). Conclusions RAI frailty score predicts 30-day mortality after BTR and may be translated to the bedside with a user-friendly calculator ( https://nsgyfrailtyoutcomeslab.shinyapps.io/braintumormortalityRAIcalc/ ). The findings hope to augment the informed consent and surgical decision-making process in this patient population and provide an example for future study designs.

The risk analysis index demonstrates superior discriminative ability in predicting extended length of stay in pituitary adenoma resection patients when compared to the 5-point modified frailty index.

Objective: To compare the predictive abilities of two frailty indices on post-operative morbidity and mortality in patients undergoing pituitary adenoma resection. Methods: The National Surgical Quality Improvement Program (NSQIP) database was used to retrospectively collect data for patients undergoing pituitary adenoma resection between 2015-2019. To compare the predictive abilities of two of the most common frailty indices, the 5-point modified frailty index (mFI-5) and the risk analysis index (RAI), receiver operating curve analysis (ROC) and area under the curve (AUC)/Cstatistic were used. Results: In our cohort of 1,454 patients, the RAI demonstrated superior discriminative ability to the mFI-5 in predicting extended length of stay (C-statistic 0.59, 95% CI 0.56-0.62 vs. C-statistic 0.51, 95% CI: 0.48-0.54, p = 0.0002). The RAI only descriptively appeared superior to mFI-5 in determining mortality (C-statistic 0.89, 95% CI 0.74-0.99 vs. Cstatistic 0.63, 95% CI 0.61-0.66, p=0.11), and NHD (C-statistic 0.68, 95% CI 0.60-0.76 vs. C-statistic 0.60, 95% CI: 0.57-0.62, p=0.15). Conclusions: Pituitary adenomas account for one of the most common brain tumors in the general population, with resection being the preferred treatment for patients with most hormone producing tumors or those causing compressive symptoms. Although pituitary adenoma resection is generally safe, patients who experience post-operative complications frequently share similar pre-operative characteristics and comorbidities. Therefore, appropriate pre-operative risk stratification is imperative for adequate patient counseling and informed consent in these patients. Here we present the first known report showing the superior discriminatory ability of the RAI in predicting eLOS when compared to the mFI-5.

Frailty as a predictor of postoperative outcomes in neurosurgery: a systematic review.

INTRODUCTION: Baseline frailty status has been utilized to predict a wide range of outcomes and guide preoperative decision making in neurosurgery. This systematic review aims to analyze existing literature on the utilization of frailty as a predictor of neurosurgical outcomes. EVIDENCE ACQUISITION: We conducted a systematic review following PRISMA guidelines. Studies that utilized baseline frailty status to predict outcomes after a neurosurgical intervention were included in this systematic review. Studies that utilized sarcopenia as the sole measure of frailty were excluded. PubMed, EMBASE, and Cochrane library was searched from inception to March 1st, 2023, to identify relevant articles. EVIDENCE SYNTHESIS: Overall, 244 studies met the inclusion criteria. The 11-factor modified frailty index (mFI-11) was the most utilized frailty measure (N.=91, 37.2%) followed by the five-factor modified Frailty Index (mFI-5) (N.=80, 32.7%). Spine surgery was the most common subspecialty (N.=131, 53.7%), followed by intracranial tumor resection (N.=57, 23.3%), and post-operative complications were the most reported outcome (N.=130, 53.2%) in neurosurgical frailty studies. The USA and the Bowers author group published the greatest number of articles within the study period (N.=176, 72.1% and N.=37, 15.2%, respectively). CONCLUSIONS: Frailty literature has grown exponentially over the years and has been incorporated into neurosurgical decision making. Although a wide range of frailty indices exist, their utility may vary according to their ability to be incorporated in the outpatient clinical setting.

Clinical Characteristics and Surgical Outcomes of 2542 Patients with Spinal Schwannomas: A Systematic Review and Meta-Analysis.

OBJECTIVE: This study was conducted to systematically analyze the data on the clinical features, surgical treatment, and outcomes of spinal schwannomas. METHODS: We conducted a systematic review and meta-analysis under the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. A search of bibliographic databases from January 1, 2001, to May 31, 2021, yielded 4489 studies. Twenty-six articles were included in our final qualitative systematic review and quantitative meta-analysis. RESULTS: Analysis of 2542 adult patients' data from 26 included studies showed that 53.5% were male, and the mean age ranged from 35.8 to 57.1 years. The most common tumor location was the cervical spine (34.2%), followed by the thoracic spine (26.2%) and the lumbar spine (18.5%). Symptom severity was the most common indicator for surgical treatment, with the most common symptoms being segmental back pain, sensory/motor deficits, and urinary dysfunction. Among all patients analyzed, 93.8% were treated with gross total resection, which was associated with better prognosis and less chance of recurrence than subtotal resection. The posterior approach was the most common (87.4% of patients). The average operative time was 4.53 hours (95% confidence interval [CI], 3.18-6.48); the average intraoperative blood loss was 451.88 mL (95% CI, 169.60-1203.95). The pooled follow-up duration was 40.6 months (95% CI, 31.04-53.07). The schwannoma recurrence rate was 5.3%. Complications were particularly low and included cerebrospinal fluid leakage, wound infection, and the sensory-motor deficits. Most of the patients experienced complete recovery or significant improvement of preoperative neurological deficits and pain symptoms. CONCLUSIONS: Our analysis suggests that segmental back pain, sensory/motor deficits, and urinary dysfunction are the most common symptoms of spinal schwannomas. Surgical resection is the treatment of choice with overall good reported outcomes and particularly low complication rates. gross total resection offers the best prognosis with the slightest chance of tumor recurrence and minimal risk of complications.

The 5-item modified frailty index predicts spinal osteotomy outcomes better than age in adult spinal deformity patients: an ACS - NSQIP analysis.

PURPOSE: To evaluate the utility of 5-Item Modified Frailty Index (mFI-5) as compared to chronological age in predicting outcomes of spinal osteotomy in Adult Spinal Deformity (ASD) patients. METHODS: Using Current Procedural and Terminology (CPT) codes, the American College of Surgeons National Surgery Quality Improvement Program (ACS-NSQIP) database was queried for adult patients undergoing spinal osteotomy from 2015 to 2019. Multivariate regression analysis was performed to evaluate the effect of baseline frailty status, measured by mFI-5 score, and chronological age on postoperative outcomes. Receiver-operating characteristic (ROC) curve analysis was performed to analyze the discriminative performance of age versus mFI-5. RESULTS: A total of 1,789 spinal osteotomy patients (median age 62 years) were included in the analysis. Among the patients assessed, 38.5% (n = 689) were pre-frail, 14.6% frail (n = 262), and 2.2% (n = 39) severely frail using the mFI-5. Based on the multivariate analysis, increasing frailty tier was associated with worsening outcomes, and higher odds ratios (OR) for poor outcomes were found for increasing frailty tiers as compared to age. Severe frailty was associated with the worst outcomes, e.g., unplanned readmission (OR 9.618, [95% CI 4.054-22.818], p < 0.001) and major complications (OR 5.172, [95% CI 2.271-11.783], p < 0.001). In the ROC curve analysis, mFI-5 score (AUC 0.838) demonstrated superior discriminative performance than age (AUC 0.601) for mortality. CONCLUSIONS: The mFI5 frailty score was found to be a better predictor than age of worse postoperative outcomes in ASD patients. Incorporating frailty in preoperative risk stratification is recommended in ASD surgery.

Comparison of the Risk Analysis Index and the modified 5-factor frailty index in predicting 30-day morbidity and mortality after spine surgery.

OBJECTIVE: Frailty's role in preoperative risk assessment in spine surgery has increased in association with the increasing size of the aging population. However, previous frailty assessment tools have significant limitations. The aim of this study was to compare the predictive ability of the Risk Analysis Index (RAI) with the 5-factor modified frailty index (mFI-5) for postoperative spine surgery morbidity and mortality. METHODS: Data were collected from the American College of Surgeons National Surgical Quality Improvement Program database for adults > 18 years who underwent spine surgery between 2015 and 2019. Multivariate modeling and receiver operating characteristic curve analysis, including area under the curve/C-statistic calculations, were performed to evaluate the comparative discriminative ability of RAI and mFI-5 on postoperative outcomes. RESULTS: In a cohort of 292,225 spine surgery patients, multivariate modeling showed that increasing RAI scores, and not increasing mFI-5 scores, were independent predictors of increased postoperative mortality for the trauma, tumor, and infection subcohorts. In the overall spine cohort, both increasing RAI and increasing mFI-5 scores were associated with increased mortality, but C-statistics indicated that the RAI (C-statistic 0.802 [95% CI 0.800-0.803], p < 0.0001, DeLong test) had superior discrimination compared with the mFI-5 (C-statistic 0.677 [95% CI 0.675-0.679], p < 0.0001, DeLong test). In subgroup analyses, the RAI had superior discriminative ability to mFI-5 for mortality in the trauma and infection groups (p < 0.001 and p = 0.039, respectively). CONCLUSIONS: The RAI demonstrates superior discrimination to the mFI-5 for predicting postoperative mortality and morbidity after spine surgery and the RAI maintains conceptual fidelity to the frailty phenotype. Patients with high RAI scores may benefit from knowing the possibility of increased surgical risk with potential spine surgery.

Clinically predictive baseline labs for post-operative outcomes of brain tumors using NSQIP database.

PURPOSE: This study was performed to assess the effect of baseline Preoperative Laboratory Values (PLV) on post-operative Brain Tumor Resection (BTR) outcomes in a large national registry. METHODS: We extracted data from the National Surgical Quality Improvement Program (NSQIP) database for BTR patients 2015-2019 (n = 3 0,951). Uni- and multivariate analyses were performed for PLV and key surgical outcomes. RESULTS: The most significant PLV predictors of 30-day mortality after BTR included hypernatremia (odds ratio, OR 4.184, 95% CI, 2.384-7.343, p < 0.001), high serum creatinine (OR 2.244, 95% CI 1.502-3.352, p < 0.001), thrombocytopenia (OR 1.997, 95% CI 1.438, 2.772, p < 0.001), and leukocytosis (OR 1.635, 95% CI 1.264, 2.116, p < 0.001). The most significant predictors of Clavien IV complications were increased INR (OR 2.653, 95% CI 1.444, 4.875, p < 0.01), thrombocytopenia (OR 1.514, 95% CI 1.280, 1.792, p < 0.001), hypoalbuminemia (OR 1.480, 95% CI 1.274, 1.719, p < 0.001), and leukocytosis (OR 1.467, 95% CI 1.306, 1.647, p < 0.001). The most robust predictors of eLOS were increased INR (OR 1.941, 95% CI 1.231, 3.060, p < 0.01) and hypoalbuminemia (OR 1.993, 95% CI 1.823, 2.179, p < 0.001), and those for non-routine discharge included increased INR (OR 1.897, 95% CI 1.196, 3.008, p < 0.01) and hypernatremia (OR 1.565, 95% CI 1.217, 2.012, p < 0.001). CONCLUSIONS: Several PLV independently predicted worse outcomes in BTR patients. Baseline labs should be routinely used for the pre-operative risk stratification of these patients.

Preoperative frailty risk in deep brain stimulation patients: Risk analysis index predicts Clavien-Dindo IV complications.

OBJECTIVE: Deep brain stimulation (DBS) improves patients' quality of life in multiple movement disorders and chronic neurodegenerative diseases. There are no published studies assessing frailty's impact on DBS outcomes. We evaluated frailty's impacts on DBS outcomes, comparing discriminative thresholds of the risk analysis index (RAI) to modified frailty index-5 (mFI-5) for predicting Clavien-Dindo complications (CDIV). METHODS: Patients who underwent DBS between 2015 and 2019 in the ACS-NSQIP registry were included. We employed receiver operating characteristic (ROC) curve to examine the discriminative thresholds of RAI and mFI-5 and multivariable analyses for postoperative outcomes. Our primary outcome was CDIV, and secondary outcomes were discharge to higher-level care facility, unplanned reoperation within 30 days, in any hospital, for any procedure related to the index procedure, and extended length of stay. RESULTS: A total of 3795 patients were included. In the ROC analysis for CDIV, RAI showed superior discriminative threshold (C-statistic = 0.70, 95% CI 0.61-0.80, <0.001) than mFI-5 (C-statistic = 0.60, 95% CI 0.49-0.70, P = 0.08). On multivariable analyses, frailty stratified by RAI, had independent associations with CDIV, i.e., pre-frail 2-fold increase OR 2.04 (95% CI: 1.94-2.14) p < 0.001, and frail 39% increase OR 1.39 (95% CI: 1.27-1.53), p < 0.001. CONCLUSION: Frailty was an independent risk-factor for CDIV. The RAI had superior discriminative thresholds than mFI-5 in predicting CDIV after DBS. Our ability to identify frail patients prior to DBS presents a novel clinical opportunity for quality improvement strategies to target this specific patient population. RAI may be a useful primary frailty screening modality for potential DBS candidates.

Frailty predicts worse outcomes for spine surgery patients with interhospital transfer status: Analysis of 295,875 patients from the National Surgical Quality Improvement Program (NSQIP) 2015-2019.

STUDY DESIGN: Retrospective analysis of a prospectively maintained database. OBJECTIVES: To evaluate the effects of interhospital transfer (IHT) status, age, and frailty on postoperative outcomes in patients who underwent spine surgery. METHODS: The National Surgical Quality Improvement Program (NSQIP) database was queried for patients who underwent spine surgeries from 2015 to 2019 (N = 295,875). Univariate and multivariable analyses were utilized to analyze the effect of IHT on postoperative outcomes and the contribution of baseline frailty status (mFI-5 score stratified into "pre-frail", "frail", and "severely frail") on outcomes in IHT patients. Effect sizes were summarized by odds ratio (OR) with associated 95% confidence intervals (95% CI). RESULTS: Of 295,875 patients in the study, 3.3% (N = 9666) were IHT status. On multivariable analysis, controlling for covariates, IHT status was significantly associated with greater likelihood of 30-day mortality (odds ratio [OR] = 9.3), major complications (OR=5.0), Clavien-Dindo (CD) grade IV complications (OR=7.0), unplanned readmission (OR=2.1), unplanned reoperation (OR=2.6), eLOS (OR=16.1), and discharge to non-home destination (OR=12.7) (all P < 0.001). Increasing frailty was significantly associated with poor outcomes in spine surgery patients with IHT status compared to chronological age. CONCLUSIONS: This study provides evidence that IHT status is associated with poor outcomes in spine surgery patients. Furthermore, increasing frailty more than increasing age was a robust predictor of poor outcomes among IHT spine surgical patients. Baseline frailty status, as measured by the mFI-5, may be utilized for preoperative risk stratification of patients with IHT status with anticipated spine surgery.

Preoperative frailty measured by risk analysis index predicts complications and poor discharge outcomes after Brain Tumor Resection in a large multi-center analysis.

PURPOSE: To evaluate the independent effect of frailty, as measured by the Risk Analysis Index-Administrative (RAI-A) for postoperative complications and discharge outcomes following brain tumor resection (BTR) in a large multi-center analysis. METHODS: Patients undergoing BTR were queried from the National Surgical Quality Improvement Program (NSIQP) for the years 2015 to 2019. Multivariable logistic regression was performed to evaluate the independent associations between frailty tools (age, 5-factor modified frailty score [mFI-5], and RAI-A) on postoperative complications and discharge outcomes. RESULTS: We identified 30,951 patients who underwent craniotomy for BTR; the median age of our study sample was 59 (IQR 47-68) years old and 47.8% of patients were male. Overall, increasing RAI-A score, in an overall stepwise fashion, was associated with increasing risk of adverse outcomes including in-hospital mortality, non-routine discharge, major complications, Clavien-Dindo Grade IV complication, and extended length of stay. Multivariable regression analysis (adjusting for age, sex, BMI, non-elective surgery status, race, and ethnicity) demonstrated that RAI-A was an independent predictor for worse BTR outcomes. The RAI-A tiers 41-45 (1.2% cohort) and > 45 (0.3% cohort) were ~ 4 (Odds Ratio [OR]: 4.3, 95% CI: 2.1-8.9) and ~ 9 (OR: 9.5, 95% CI: 3.9-22.9) times more likely to have in-hospital mortality compared to RAI-A 0-20 (34% cohort). CONCLUSIONS AND RELEVANCE: Increasing preoperative frailty as measured by the RAI-A score is independently associated with increased risk of complications and adverse discharge outcomes after BTR. The RAI-A may help providers present better preoperative risk assessment for patients and families weighing the risks and benefits of potential BTR.

Frailty Status Is a More Robust Predictor Than Age of Spinal Tumor Surgery Outcomes: A NSQIP Analysis of 4,662 Patients.

OBJECTIVE: The present study aimed to evaluate the effect of baseline frailty status (as measured by modified frailty index-5 [mFI-5]) versus age on postoperative outcomes of patients undergoing surgery for spinal tumors using data from a large national registry. METHODS: The National Surgical Quality Improvement Program database was used to collect spinal tumor resection patients' data from 2015 to 2019 (n = 4,662). Univariate and multivariate analyses for age and mFI-5 were performed for the following outcomes: 30-day mortality, major complications, unplanned reoperation, unplanned readmission, hospital length of stay (LOS), and discharge to a nonhome destination. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative performance of age versus mFI-5. RESULTS: Both univariate and multivariate analyses demonstrated that mFI-5 was a more robust predictor of worse postoperative outcomes as compared to age. Furthermore, based on categorical analysis of frailty tiers, increasing frailty was significantly associated with increased risk of adverse outcomes. 'Severely frail' patients were found to have the highest risk, with odds ratio 16.4 (95% confidence interval [CI],11.21-35.44) for 30-day mortality, 3.02 (95% CI, 1.97-4.56) for major complications, and 2.94 (95% CI, 2.32-4.21) for LOS. In ROC curve analysis, mFI-5 score (area under the curve [AUC] = 0.743) achieved superior discrimination compared to age (AUC = 0.594) for mortality. CONCLUSION: Increasing frailty, as measured by mFI-5, is a more robust predictor as compared to age, for poor postoperative outcomes in spinal tumor surgery patients. The mFI-5 may be clinically used for preoperative risk stratification of spinal tumor patients.

Worse Pituitary Adenoma Surgical Outcomes Predicted by Increasing Frailty, Not Age.

PURPOSE: Increasing patient age has been associated with worse outcomes after pituitary adenoma resection in previous studies, but the prognostic value of frailty compared with advancing age on pituitary adenoma resection outcomes has not been clearly evaluated. METHODS: The National Surgical Quality Improvement Program from 2015 to 2019 was queried for data for patients aged >18 years who underwent pituitary adenoma resection (n = 1454 identified patients). Univariate and multivariate analyses of age and frailty (5-factor modified frailty index [mFI-5]) were performed on 30-day mortality, major complications, extended length of stay (eLOS), discharge destination, and readmission and reoperation. The receiver operating characteristic curve analysis was performed to compare effect of age and mFI-5. RESULTS: On univariate analysis, increasing frailty was significantly associated with greater risk of unplanned readmission (frail: odds ratio [OR], 1.9; 95% confidence interval [CI], 1.2-3.2; severely frail: OR, 6.9; 95% CI, 2.4-19.8) and a major complication (frail: OR, 3.6; 95% CI, 2.1-6.1). Severe frailty was also associated with nonhome discharge (OR, 10.6; 95% CI, 3.2-35.8) and eLOS (OR, 4.5; 95% CI, 1.5-13.4). Increasing age was not associated with any of these outcome measures. Multivariate analysis also demonstrated similar trends. In receiver operating characteristic curve analysis, the mFI-5 score showed higher discrimination for major complications compared with age (area under the curve: 0.624 vs. 0.503; P < 0.001). CONCLUSION: Increasing frailty, and not advancing age, was an independent predictor for major complications, unplanned readmissions, eLOS, and nonhome discharge after pituitary adenoma resection, suggesting frailty to be superior to age in preoperative risk stratification in this patient population.

Association of baseline frailty status and age with outcomes in patients undergoing intracranial meningioma surgery: Results of a nationwide analysis of 5818 patients from the National Surgical Quality Improvement Program (NSQIP) 2015-2019.

PURPOSE: The objective of this study was to compare the effect of frailty, as measured by the 5-factor modified frailty index (mFI-5), with that of age on postoperative outcomes of patients undergoing surgery for intracranial meningiomas, using data from a large national registry. METHODS: The National Surgical Quality Improvement Program (NSQIP) database (2015-2019) was queried to analyze data from patients undergoing intracranial meningioma resection (N = 5,818). Univariate and multivariate analyses of age and mFI-5 score were performed for 30-day mortality, major complications, unplanned reoperation, unplanned readmission, extended hospital length of stay (eLOS), and discharge to a non-home destination. RESULTS: Both univariate and multivariate analyses (adjusted for sex, body mass index, transfer status, smoking, and operative time) demonstrated that mFI-5 and age were significant predictors of adverse postoperative outcomes in patients with intracranial meningioma. However, based on odds ratios (OR) and effect sizes, increasing frailty tiers were better predictors than age of adverse outcomes. Severely frail patients showed highest effects sizes for all postoperative outcome variables [OR 11.17 (95% CI 3.45-36.19), p<0.001 for mortality; OR 4.15 (95% CI 2.46-6.99), p<0.001 for major complications; OR 4.37 (95% CI 2.68-7.12), p<0.001 for unplanned readmission; OR 2.31 (95% CI 1.17-4.55), p<0.001 for unplanned reoperation; OR 4.28 (95% CI 2.74-6.68), p<0.001 for eLOS; and OR 9.34 (95% CI 6.03-14.47, p<0.001) for discharge other than home. CONCLUSION: In this national database study, baseline frailty status was a better independent predictor for worse postoperative outcomes than age in patients with intracranial meningioma.

Risk Analysis Index and Its Recalibrated Version Predict Postoperative Outcomes Better Than 5-Factor Modified Frailty Index in Traumatic Spinal Injury.

OBJECTIVE: To assess the discriminative ability of the Risk Analysis Index-administrative (RAI-A) and its recalibrated version (RAI-Rev), compared to the 5-factor modified frailty index (mFI-5), in predicting postoperative outcomes in patients undergoing surgical intervention for traumatic spine injuries (TSIs). METHODS: The Current Procedural Terminology (CPT) and International Classification of Disease-9 (ICD-9) and ICD-10 codes were used to identify patients ≥ 18 years who underwent surgical intervention for TSI from National Surgical Quality Improvement Program (ACS-NSQIP) database 2015-2019 (n = 6,571). Multivariate analysis and receiver operating characteristic (ROC) curve analysis were conducted to evaluate the comparative discriminative ability of RAI-Rev, RAI-A, and mFI-5 for 30-day postoperative outcomes. RESULTS: Multivariate regression analysis showed that with all 3 frailty scores, increasing frailty tiers resulted in worse postoperative outcomes, and patients identified as frail and severely frail using RAI-Rev and RAI-A had the highest odds of poor outcomes. In the ROC curve/C-statistics analysis for prediction of 30-day mortality and morbidity, both RAI-Rev and RAI-A outperformed mFI-5, and for many outcomes, RAI-Rev showed better discriminative performance compared to RAI-A, including mortality (p = 0.0043, DeLong test), extended length of stay (p = 0.0042), readmission (p < 0.0001), reoperation (p = 0.0175), and nonhome discharge (p < 0.0001). CONCLUSION: Both RAI-Rev and RAI-A performed better than mFI-5, and RAI-Rev was superior to RAI-A in predicting postoperative mortality and morbidity in TSI patients. RAI-based frailty indices can be used in preoperative risk assessment of spinal trauma patients.

Implications of sagittal alignment and complication profile with stand-alone anterior lumbar interbody fusion versus anterior posterior lumbar fusion.

BACKGROUND: Anterior lumbar interbody fusion (ALIF) is commonly utilized in lumbar degenerative pathologies. Standalone ALIF (ST-ALIF) systems were developed to avoid added morbidity, surgical time, and cost of anterior and posterior fusion (APF). Controversy exists in the literature about which of these two techniques yields superior clinical and radiographic outcomes, and few studies have directly compared them. This study seeks to compare ST-ALIF and APF in terms of sagittal correction and surgical complications. METHODS: Ninty-two consecutive ALIF cases performed from 2013-2018 were retrospectively reviewed and separated into 2 groups. Radiographic measurements were performed on pre- and post-operative radiographs, including segmental lordosis (SL), lumbar lordosis (LL), and pelvic incidence-lumbar lordosis mismatch (PI-LL). Surgical complications were determined. Statistical analysis was performed using chi-square test of homogeneity, Fisher's exact test, and independent sample t-test. Comparisons between groups were deemed statistically significant at the P<0.05 threshold. RESULTS: Fifty-seven ST-ALIF, 35 APF were identified. There were no differences in age, gender, BMI, Charlson Comorbidity Index (CCI), preoperative diagnosis, or surgical level between the 2 cohorts. Bone Morphogenetic Protein (BMP) was utilized in 24.6% of ST-ALIF versus none of APF (P=0.001). No differences were detected in SL, LL, and PI-LL mismatch. ST-ALIF cohort had significantly greater risk of subsidence and revision surgery versus APF (12.3% vs. 0%, RD 95% CI: 3.8-20.8%, P=0.042). Recurrent spondylolisthesis occurred in 5 ST-ALIF cases, 3 cases with implant failure, and 2 nonunions versus none in the APF group. CONCLUSIONS: ST-ALIF was associated with significantly greater subsidence and revision surgery versus APF. Careful patient selection is paramount when considering ST-ALIF. The potential for revision surgery may offset the potential benefit in avoiding posterior fusion. Despite the greater risk of subsidence, sagittal alignment was not significantly affected.