Assessing a revised-risk analysis index for morbidity and mortality after spine surgery for metastatic spinal tumors.

BACKGROUND: Risk Analysis Index (RAI) has been increasingly used to assess surgical frailty in various procedures, but its effectiveness in predicting mortality or in-patient hospital outcomes for spine surgery in metastatic disease remains unclear. The aim of this study was to compare the predictive values of the revised RAI (RAI-rev), the modified frailty index-5 (mFI-5), and advanced age for extended length of stay, 30-day readmission, complications, and mortality among patients undergoing spine surgery for metastatic spinal tumors. METHODS: A retrospective cohort study was performed using the 2012-2022 ACS NSQIP database to identify adult patients who underwent spinal surgery for metastatic spinal pathologies. Using receiver operating characteristic (ROC) and multivariable analyses, we compared the discriminative thresholds and independent associations of RAI-rev, mFI-5, and greater patient age with extended length of stay (LOS), 30-day complications, hospital readmission, and mortality. RESULTS: A total of 1,796 patients were identified, of which 1,116 (62.1%) were male and 1,008 (70.7%) were non-Hispanic White. RAI-rev identified 1,291 (71.9%) frail and 208 (11.6%) very frail patients, while mFI-5 identified 272 (15.1%) frail and 49 (2.7%) very frail patients. In the ROC analysis for extended LOS, both RAI-rev and mFI-5 showed modest predictive capabilities with area under the curve (AUC) values of 0.5477 and 0.5329, respectively, and no significant difference in their predictive abilities (p = 0.446). When compared to age, RAI-rev demonstrated superior prediction (p = 0.015). With respect to predicting 30-day readmission, no significant difference was observed between RAI-rev and mFI-5 (AUC 0.5394 l respectively, p = 0.354). However, RAI-rev outperformed age (p = 0.001). When assessing the risk of 30-day complications, RAI-rev significantly outperformed mFI-5 (AUC: 0.6016 and 0.5542 respectively, p = 0.022) but not age. Notably, RAI-rev demonstrated superior ability for predicting 30-day mortality compared to mFI-5 and age (AUC: 0.6541, 0.5652, and 0.5515 respectively, p < 0.001). Multivariate analysis revealed RAI-rev as a significant predictor of extended LOS [aOR: 1.96, 95% CI: 1.13-3.38, p = 0.016] and 30-day mortality [aOR: 5.27, 95% CI: 1.73-16.06, p = 0.003] for very frail patients. Similarly, the RAI-rev significantly predicted 30-day complications for frail [aOR: 2.63, 95% CI: 1.21-5.72, p = 0.015] and very frail [aOR: 3.69, 95% CI: 1.60-8.51, p = 0.002] patients. However, the RAI did not significantly predict 30-day readmission [Very Frail aOR: 1.52, 95% CI: 0.75-3.07, p = 0.245; Frail aOR: 1.46, 95% CI: 0.79-2.68, p = 0.225]. CONCLUSION: Our study demonstrates the utility of RAI-rev in predicting morbidity and mortality in patients undergoing spine surgery for metastatic spinal pathologies. Particularly, the superiority that RAI-rev has in predicting 30-day mortality may have significant implications in multidisciplinary decision making.

Implications of surgical infection on surgical and hospital outcomes after spine surgery: A NSQIP study of 410,930 patients.

STUDY DESIGN: Retrospective cohort study. OBJECTIVES: Surgical infections are unfortunately a fairly common occurrence in spine surgery, with rates reported as high as 16 %. However, there is a relative paucity of studies that look to understand how surgical infections may impact outcome variables. The aim of this study was to assess the impact of surgical infection on other perioperative complications, extended hospital length of stay (LOS), discharge disposition, and unplanned readmission following spine surgery. METHODS: A retrospective cohort study was performed using the 2016-2022 ACS NSQIP database. Adults receiving spine surgery for trauma, degenerative disease, and tumors were identified using CPT and ICD-9/10 codes. Patients were divided into two cohorts: surgical infection (superficial surgical site infection, deep surgical site infection, organ space surgical site infection, or wound dehiscence) and no surgical infection (those who did not experience any infection). Patient demographics, comorbidities, intraoperative variables, postoperative adverse events (AEs), and healthcare resource utilization were assessed. Multivariate logistic regression analysis was utilized to identify predictors of AEs, extended hospital length of stay, non-routine discharge, and unplanned readmission. RESULTS: In our cohort of 410,930 patients, 7854 (2.2 %) were found to have experienced a surgical infection. Regarding preoperative variables, a greater proportion of the surgical infection cohort was a female (p < 0.001) and had a higher mean BMI (p < 0.001), greater frailty and ASA scores (p < 0.001), and higher rates of all presenting comorbidities included in the study. Rates of AEs (p < 0.001), unplanned readmission (p < 0.001), reoperation (p < 0.001), non-home discharge (p < 0.001), and 30-day mortality were all greater in the surgical infection group when compared to the group without surgical infection. On multivariate analysis, surgical infection was found to be an independent predictor of experiencing postoperative complications [aOR: 6.15, 95 % CI: (5.72, 6.60), p < 0.001], prolonged LOS [2.71, 95 % CI: (2.54, 2.89), p < 0.001], non-routine discharge [aOR: 1.74, 95 % CI: (1.61, 1.88), p < 0.001], and unplanned readmission [aOR: 22.57, 95 % CI: (21.06, 24.19), p < 0.001]. CONCLUSIONS: Our study found that surgical infection increases the risk of complications, extended LOS, non-routine discharge, and unplanned readmission. Such findings warrant further studies that aim to validate these results and identify risk factors for surgical infections.

Association of earlier surgery with improved postoperative language development in children with tuberous sclerosis complex.

OBJECTIVE: The authors evaluated the impact of the timing of epilepsy surgery on postoperative neurocognitive outcomes in a cohort of children followed in the multiinstitutional Tuberous Sclerosis Complex (TSC) Autism Center of Excellence Research Network (TACERN) study. METHODS: Twenty-seven of 159 patients in the TACERN cohort had drug-refractory epilepsy and underwent surgery. Ages at surgery ranged from 15.86 to 154.14 weeks (median 91.93 weeks). Changes in patients' first preoperative (10-58 weeks) to last postoperative (155-188 weeks) scores on three neuropsychological tests-the Mullen Scales of Early Learning (MSEL), the Vineland Adaptive Behavior Scales, 2nd edition (VABS-2), and the Preschool Language Scales, 5th edition (PLS-5)-were calculated. Pearson correlation and multivariate linear regression models were used to correlate test outcomes separately with age at surgery and duration of epilepsy prior to surgery. Analyses were separately conducted for patients whose seizure burdens decreased postoperatively (n = 21) and those whose seizure burdens did not (n = 6). Regression analysis was specifically focused on the 21 patients who achieved successful seizure control. RESULTS: Age at surgery was significantly negatively correlated with the change in the combined verbal subtests of the MSEL (R = -0.45, p = 0.039) and predicted this score in a multivariate linear regression model (ß = -0.09, p = 0.035). Similar trends were seen in the total language score of the PLS-5 (R = -0.4, p = 0.089; ß = -0.12, p = 0.014) and in analyses examining the duration of epilepsy prior to surgery as the independent variable of interest. Associations between age at surgery and duration of epilepsy prior to surgery with changes in the verbal subscores of VABS-2 were more variable (R = -0.15, p = 0.52; ß = -0.05, p = 0.482). CONCLUSIONS: Earlier surgery and shorter epilepsy duration prior to surgery were associated with greater improvement in postoperative language in patients with TSC. Prospective or comparative effectiveness clinical trials are needed to further elucidate surgical timing impacts on neurocognitive outcomes.

Impact of Supine versus Prone Positioning on Segmental Lumbar Lordosis in Patients Undergoing ALIF Followed by PSF: A Comparative Study.

Background: Anterior lumbar interbody fusion (ALIF) and posterior spinal fusion (PSF) play pivotal roles in restoring lumbar lordosis in spinal surgery. There is an ongoing debate between combined single-position surgery and traditional prone-position PSF for optimizing segmental lumbar lordosis. Methods: This retrospective study analyzed 59 patients who underwent ALIF in the supine position followed by PSF in the prone position at a single institution. Cobb angles were measured preoperatively, post-ALIF, and post-PSF using X-ray imaging. One-way repeated measures ANOVA and post-hoc analyses with Bonferroni adjustment were employed to compare mean Cobb angles at different time points. Cohen's d effect sizes were calculated to assess the magnitude of changes. Sample size calculations were performed to ensure statistical power. Results: The mean segmental Cobb angle significantly increased from preoperative (32.2 ± 13.8 degrees) to post-ALIF (42.2 ± 14.3 degrees, Cohen's d: -0.71, p < 0.0001) and post-PSF (43.6 ± 14.6 degrees, Cohen's d: -0.80, p < 0.0001). There was no significant difference between Cobb angles after ALIF and after PSF (Cohen's d: -0.10, p = 0.14). The findings remained consistent when Cobb angles were analyzed separately for single-screw and double-screw ALIF constructs. Conclusions: Both supine ALIF and prone PSF significantly increased segmental lumbar lordosis compared to preoperative measurements. The negligible difference between post-ALIF and post-PSF lordosis suggests that supine ALIF followed by prone PSF can be an effective approach, providing flexibility in surgical positioning without compromising lordosis improvement.

Insurance Disparities in Patient Outcomes and Healthcare Resource Utilization Following Neonatal Intraventricular Hemorrhage.

BACKGROUND: Within the field of pediatric neurosurgery, insurance status has been shown to be associated with surgical delay, longer time to referral, and longer hospitalization in epilepsy treatment, myelomeningocele repair, and spasticity surgery.1,2 The aim of this study was to investigate the association of insurance status with inpatient adverse events (AEs), length of stay (LOS), and costs for newborns diagnosed with intraventricular hemorrhage (IVH). METHODS: A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. Patients with a primary diagnosis of intraventricular hemorrhage were identified using ICD-10-CM diagnostic and procedural codes. Patients were categorized based on insurance status: Medicaid or Private Insurance (PI). Multivariate logistic regression analyses were used to identify the impact of insurance status on extended LOS (defined as >75th percentile of LOS) and exorbitant cost (defined as >75th percentile of cost). RESULTS: Demographics differed significantly between groups, with the majority of newborns in the PI cohort being White (Medicaid: 35.8% vs. PI: 60.3%, P < 0.001) and the majority of Medicaid patients being in the 0-25th quartile of household income (Medicaid: 40.9% vs. PI: 12.9%, P < 0.001). While insurance status was not independently associated with increased odds of extended LOS or exorbitant cost, Medicaid patients had a greater mean LOS and total cost of admission than PI patients. CONCLUSIONS: Demographic characteristics, mean LOS, and mean total cost differed significantly between Medicaid and PI patients, indicating potential disparities based on insurance status. However, insurance status was not independently associated with increased healthcare utilization, necessitating further research in this area of study.

Sociodemographic Disparities and Postoperative Outcomes Following Cranial Vault Remodeling for Craniosynostosis: Analysis of the 2012 to 2021 NSQIP-Pediatric Database.

OBJECTIVE: The objective of this study was to assess whether race and ethnicity are independent predictors of inferior postoperative clinical outcomes, including increased complication rates, extended length of stay (LOS), and unplanned 30-day readmission following cranial vault repair for craniosynostosis. METHODS: A retrospective cohort study was performed using the American College of Surgeons National Surgical Quality Improvement Program-Pediatric database. Pediatric patients under 2 years of age undergoing cranial vault repair for craniosynostosis between 2012 and 2021 were identified using the International Classification of Diseases-9/10 and Current Procedural Terminology codes. Patients were dichotomized into 4 cohorts: non-Hispanic White (NHW), non-Hispanic Black (NHB), Hispanic, and other. Only patients with available race and ethnicity data were included in this study. Patient demographics, comorbidities, surgical variables, postoperative adverse events, and hospital resource utilization were assessed. Multivariate logistic regression analysis was used to assess the impact of race on complications, extended LOS, and unplanned readmissions. RESULTS: In our cohort of 7764 patients, 72.80% were NHW, 8.44% were NHB, 15.10% were Hispanic, and 3.67% were categorized as "other." Age was significantly different between the 4 cohorts ( P <0.001); NHB patients were the oldest, with an average age of 327.69±174.57 days old. Non-Hispanic White experienced the least adverse events while NHB experienced the most ( P =0.01). Total operative time and hospital LOS were shorter for NHW patients ( P <0.001 and P <0.001, respectively). Rates of unplanned 30-day readmission, unplanned reoperation, and 30-day mortality did not differ significantly between the 4 cohorts. On multivariate analysis, race was found to be an independent predictor of extended LOS [NHB: adjusted odds ratio: 1.30 (1.04-1.62), P=0.021; other: 2.28 (1.69-3.04), P =0.005], but not of complications or readmission. CONCLUSIONS: Our study demonstrates that racial and ethnic disparities exist among patients undergoing cranial vault reconstruction for craniosynostosis. These disparities, in part, may be due to delayed age of presentation among non-Hispanic, non-White patients. Further investigations to elucidate the underlying causes of these disparities are necessary to address gaps in access to care and provide equitable health care to at-risk populations.

Evaluating Computer Vision, Large Language, and Genome-Wide Association Models in a Limited Sized Patient Cohort for Pre-Operative Risk Stratification in Adult Spinal Deformity Surgery.

Background: Adult spinal deformities (ASD) are varied spinal abnormalities, often necessitating surgical intervention when associated with pain, worsening deformity, or worsening function. Predicting post-operative complications and revision surgery is critical for surgical planning and patient counseling. Due to the relatively small number of cases of ASD surgery, machine learning applications have been limited to traditional models (e.g., logistic regression or standard neural networks) and coarse clinical variables. We present the novel application of advanced models (CNN, LLM, GWAS) using complex data types (radiographs, clinical notes, genomics) for ASD outcome prediction. Methods: We developed a CNN trained on 209 ASD patients (1549 radiographs) from the Stanford Research Repository, a CNN pre-trained on VinDr-SpineXR (10,468 spine radiographs), and an LLM using free-text clinical notes from the same 209 patients, trained via Gatortron. Additionally, we conducted a GWAS using the UK Biobank, contrasting 540 surgical ASD patients with 7355 non-surgical ASD patients. Results: The LLM notably outperformed the CNN in predicting pulmonary complications (F1: 0.545 vs. 0.2881), neurological complications (F1: 0.250 vs. 0.224), and sepsis (F1: 0.382 vs. 0.132). The pre-trained CNN showed improved sepsis prediction (AUC: 0.638 vs. 0.534) but reduced performance for neurological complication prediction (AUC: 0.545 vs. 0.619). The LLM demonstrated high specificity (0.946) and positive predictive value (0.467) for neurological complications. The GWAS identified 21 significant (p < 10-5) SNPs associated with ASD surgery risk (OR: mean: 3.17, SD: 1.92, median: 2.78), with the highest odds ratio (8.06) for the LDB2 gene, which is implicated in ectoderm differentiation. Conclusions: This study exemplifies the innovative application of cutting-edge models to forecast outcomes in ASD, underscoring the utility of complex data in outcome prediction for neurosurgical conditions. It demonstrates the promise of genetic models when identifying surgical risks and supports the integration of complex machine learning tools for informed surgical decision-making in ASD.

Implications of Frailty on Postoperative Health Care Resource Utilization in Ankylosing Spondylitis Patients Undergoing Spine Surgery for Spinal Fractures.

OBJECTIVE: The rise of spinal surgery for ankylosing spondylitis (AS) necessitates balancing health care costs with quality patient care. Frailty has been independently associated with adverse outcomes and increased costs. This study investigates whether frailty is an independent predictor of poor outcomes after elective surgery for AS. METHODS: Using the National Inpatient Sample (NIS) database, a retrospective study was conducted on adult patients with AS who underwent posterior spinal fusion for fracture between 2016 and 2019. Each patient was assigned a modified frailty index (mFI) score and categorized as prefrail (mFI = 0 or 1), moderately frail (mFI = 2), and highly frail (mFI≥3). Multivariate logistic regression analyses were used to identify independent predictors of extended length of stay, non-routine discharge (NRD), and exorbitant admission costs. RESULTS: Of the 1910 patients, 35.3% were prefrail, 31.2% moderately frail, and 33.5% highly frail. Age was significantly different across groups (P < 0.001), and frailty was associated with increased comorbidities (P < 0.001). Mean length of stay (P = 0.007), NRD rate (P < 0.001), and mean cost of admission (P = 0.002) all significantly increased with increasing frailty. However, frailty was not an independent predictor of extended hospital stay, NRD, or higher costs on multivariate analysis. Instead, predictors included multiple adverse events, number of comorbidities, and race. CONCLUSIONS: While frailty in patients with AS is associated with older age, greater comorbidities, and increased adverse events, it was not an independent predictor of extended hospital stay, NRD, or higher hospital costs. Further research is required to understand the full impact of frailty on surgical outcomes and develop effective interventions.

Type II odontoid fractures in the elderly presenting to the emergency department: an assessment of factors affecting in-hospital mortality and discharge to skilled nursing facilities.

BACKGROUND CONTEXT: Type II odontoid fractures (OF) are among the most common cervical spine injuries in the geriatric population. However, there is a paucity of literature regarding their epidemiology. Additionally, the optimal management of these injuries remains controversial, and no study has evaluated the short-term outcomes of geriatric patients presenting to emergency departments (ED). PURPOSE: This study aims to document the epidemiology of geriatric patients presenting to EDs with type II OFs and determine whether surgical management was associated with early adverse outcomes such as in-hospital mortality and discharge to skilled nursing facilities (SNF). STUDY DESIGN: This is a retrospective cohort study. PATIENT SAMPLE: Data was used from the 2016-2020 Nationwide Emergency Department Sample. Patient encounters corresponding to type II OFs were identified. Patients younger than 65 at the time of presentation to the ED and those with concomitant spinal pathology were excluded. OUTCOME MEASURES: The association between the surgical management of geriatric type II OFs and outcomes such as in-hospital mortality and discharge to SNFs. METHODS: Patient, fracture, and surgical management characteristics were recorded. A propensity score matched cohort was constructed to reduce differences in age, comorbidities, and injury severity between patients undergoing operative and nonoperative management. Additionally, to develop a positive control for the analysis of geriatric patients with type II OFs and no other concomitant spinal pathology, a cohort of patients that had been excluded due to the presence of a concomitant spinal cord injury (SCI) was also constructed. Multivariate regressions were then performed on both the matched and unmatched cohorts to ascertain the associations between surgical treatment and in-hospital mortality, inpatient length of stay, encounter charges, and discharge to SNFs. RESULTS: A total of 11,325 encounters were included. The mean total charge per encounter was $60,221. 634 (5.6%) patients passed away during their encounters. In total, 1,005 (8.9%) patients were managed surgically. Surgical management of type II OFs was associated with a 316% increase in visit charge (95% CI: 291%-341%, p<.001), increased inpatient length of stay (IRR: 2.87, 95% CI: 2.62-3.12, p<.001), and increased likelihood of discharge to SNFs (OR=2.62, 95% CI: 2.26-3.05, p<.001), but decreased in-hospital mortality (OR=0.32, CI: 0.21-0.45, p<.001). The propensity score matched cohort consisted of 2,010 patients, matching each of the 1,005 that underwent surgery to 1,005 that did not. These cohorts were well balanced across age (78.24 vs 77.91 years), Elixhauser Comorbidity Index (3.68 vs 3.71), and Injury Severity Score (30.15 vs 28.93). This matching did not meaningfully alter the associations determined between surgical management and in-hospital mortality (OR=0.34, CI=0.21-0.55, p<.001) or SNF discharge (OR=2.59, CI=2.13-3.16, p<.001). Lastly, the positive control cohort of patients with concurrent SCI had higher rates of SNF discharge (50.0% vs 42.6%, p<.001), surgical management (32.3% vs 9.7%, p<.001), and in-hospital mortality (28.9% vs 5.6%, p<.001). CONCLUSIONS: This study lends insight into the epidemiology of geriatric type II OFs and quantifies risk factors influencing adverse outcomes. Patient informed consent should include a discussion of the protective association between definitive surgical management and in-hospital mortality against potential operative morbidity, increased lengths of hospital stay, and increased likelihood of discharge to SNFs. This information may impact patient treatment selection and decision making.

The relation between pica and iron deficiency in children in Zanjan, Islamic Republic of Iran: a case-control study.

The aim of this case-control study was to determine the frequency of pica and its relationship with iron deficiency in children in Zanjan. We selected 872 children and determined the frequency of pica. We selected students who did not have pica of the same age and sex, and in the same class as our cases as a control group. Both groups were evaluated for iron deficiency anaemia. Among the 57 students (6.7%) who had pica, there was no significant relationship with sex (P > 0.05). The most common types of pica were soil (62.3%) and paper (31.2%). The frequency of anaemia among cases was greater than in controls, although the difference was not statistically significant. The serum iron/total iron binding capacity ratio ≤ 0.15 did not differ significantly between the 2 groups. We did not find any association between pica and anaemia and/or iron deficiency (P > 0.05).