Frailty in intracranial meningioma resection: the risk analysis index demonstrates strong discrimination for predicting non-home discharge and in-hospital mortality.

PURPOSE: Frailty is an independent risk factor for adverse postoperative outcomes following intracranial meningioma resection (IMR). The role of the Risk Analysis Index (RAI) in predicting postoperative outcomes following IMR is nascent but may inform preoperative patient selection and surgical planning. METHODS: IMR patients from the Nationwide Inpatient Sample were identified using diagnostic and procedural codes (2019-2020). The relationship between preoperative RAI-measured frailty and primary outcomes (non-home discharge (NHD), in-hospital mortality) and secondary outcomes (extended length of stay (eLOS), complication rates) was assessed via multivariate analyses. The discriminatory accuracy of the RAI for primary outcomes was measured in area under the receiver operating characteristic (AUROC) curve analysis. RESULTS: A total of 23,230 IMR patients (mean age = 59) were identified, with frailty statuses stratified by RAI score: 0-20 "robust" (R)(N = 10,665, 45.9%), 21-30 "normal" (N)(N = 8,895, 38.3%), 31-40 "frail" (F)(N = 2,605, 11.2%), and 41+ "very frail" (VF)(N = 1,065, 4.6%). Rates of NHD (R 11.5%, N 29.7%, F 60.8%, VF 61.5%), in-hospital mortality (R 0.5%, N 1.8%, F 3.8%, VF 7.0%), eLOS (R 13.2%, N 21.5%, F 40.9%, VF 46.0%), and complications (R 7.5%, N 11.6%, F 15.7%, VF 16.0%) significantly increased with increasing frailty thresholds (p < 0.001). The RAI demonstrated strong discrimination for NHD (C-statistic: 0.755) and in-hospital mortality (C-statistic: 0.754) in AUROC curve analysis. CONCLUSION: Increasing RAI-measured frailty is significantly associated with increased complication rates, eLOS, NHD, and in-hospital mortality following IMR. The RAI demonstrates strong discrimination for predicting NHD and in-hospital mortality following IMR, and may aid in preoperative risk stratification.

Frailty predicts non-home discharge in anterior lumbar interbody fusion patients.

BACKGROUND: Anterior lumbar interbody fusion (ALIF) is a well-established surgical approach in the treatment of degenerative pathology, trauma, infection, and neoplasia of the spine. This study sought to assess the usefulness of frailty as a predictor of non-home discharge (NHD) for patients who undergo the procedure. METHODS: Patient cases were extracted from the American College of Surgeons's National Surgical Quality Improvement Program database from 2012 to 2020. Univariable and receiver operating characteristic curve analyses were used to compare the 5-item Modified Frailty Index (mFI-5) to the Revised Risk Analysis Index (RAI-rev) in relation to NHD. RESULTS: Simple linear regression demonstrated that increasing frailty was associated with an increased likelihood of NHD among 25,317 patients (mFI-5 odds ratio: 2.13, 3.23, 8.4; RAI-rev odds ratio: 3.22, 9.6, 23.6 [P<0.001 for all]). In each instance, a Cochran-Armitage trend test was significant (P<0.001), indicating a linear association of increasing odds. The RAI-rev resulted in a C-statistic of 0.722, compared to 0.628 for the mFI-5, and was shown to have superior discriminative ability with a DeLong Test (P<0.001). CONCLUSIONS: Frailty, as measured by mFI-5 and RAI-rev, was associated with an increased likelihood of NHD in patients who underwent ALIF. This finding supports recent literature on the promising utility of these indices, especially the RAI-rev, in preoperative decision-making across multiple facets of neurosurgery.

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.

A Medical Student's Guide to Online Resources in Neurosurgery.

Early exposure to neurosurgery during medical school is critical to improving recruitment into the specialty. About 30% of medical schools in the U.S. lack a home program in neurosurgery, thereby, limiting their exposure to the field of neurosurgery. The transition to virtual education was largely facilitated through webinars during the coronavirus disease of 2019 pandemic. Advantages of these resources include their widespread global outreach, with a large number of attendees being international medical students. Although many such resources exist, they are primarily available through social media platforms. To our knowledge, there exists no clear outline of these resources. We identified 16 resources through a database search and through popular social media platforms. Nine out of 16 resources were video based, and 2 utilized the concept of spaced repetition through flashcards. Our review describes these educational resources and aims to serve as a guide for medical students interested in neurosurgery.

The frailty-driven predictive model for failure to rescue among patients who experienced a major complication following cervical decompression and fusion: an ACS-NSQIP analysis of 3,632 cases (2011-2020).

BACKGROUND CONTEXT: Preoperative risk stratification for patients considering cervical decompression and fusion (CDF) relies on established independent risk factors to predict the probability of complications and outcomes in order to help guide pre and perioperative decision-making. PURPOSE: This study aims to determine frailty's impact on failure to rescue (FTR), or when a mortality occurs within 30 days following a major complication. STUDY DESIGN/SETTING: Cross-sectional retrospective analysis of retrospective and nationally-representative data. PATIENT SAMPLE: The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all CDF cases from 2011-2020. OUTCOME MEASURES: CDF patients who experienced a major complication were identified and FTR was calculated as death or hospice disposition within 30 days of a major complication. METHODS: Frailty was measured by the Risk Analysis Index-Revised (RAI-Rev). Baseline patient demographics and characteristics were compared for all FTR patients. Significant factors were assessed by univariate and multivariable regression for the development of a frailty-driven predictive model for FTR. The discriminative ability of the predictive model was assessed using a receiving operating characteristic (ROC) curve analysis. RESULTS: There were 3632 CDF patients who suffered a major complication and 7.6% (277 patients) subsequently expired or dispositioned to hospice, the definition of FTR. Independent predictors of FTR were nonelective surgery, frailty, preoperative intubation, thrombosis or embolic complication, unplanned intubation, on ventilator for >48 hours, cardiac arrest, and septic shock. Frailty, and a combination of preoperative and postoperative risk factors in a predictive model for FTR, achieved outstanding discriminatory accuracy (C-statistic = 0.901, CI: 0.883-0.919). CONCLUSION: Preoperative and postoperative risk factors, combined with frailty, yield a highly accurate predictive model for FTR in CDF patients. Our model may guide surgical management and/or prognostication regarding the likelihood of FTR after a major complication postoperatively with CDF patients. Future studies may determine the predictive ability of this model in other neurosurgical patient populations.

Gender diversity at spine surgery academic conferences: a 15-year investigation.

BACKGROUND CONTEXT: Enhancing gender diversity at academic conferences is critical for advancing women's representation and career trajectories in spine surgery. PURPOSE: To discover trends in women's representation at major spine conferences over a 15-year period. STUDY DESIGN/SETTING: Conference records from the 2007-2021 annual meetings of the Congress of Neurological Surgeons, North American Spine Society, and Scoliosis Research Society (SRS). PATIENT SAMPLE: Authors of spine-related presentations. OUTCOME MEASURES: Authorship by gender. METHODS: Retrospective bibliometric analysis with univariate and multivariate modeling to identify trends and predictors of gender diversity. RESULTS: Among 8,948 presentations, 750 (8.4%) had female first authors and 618 (6.9%) had female senior authors. There was no change in rates of female first authorship (p=.41) or senior authorship (p=.88) over time. The strongest predictors of female first authorship were having a female senior author (OR 7.32, p<.001), and delivering presentations at SRS (OR 1.95, p=.001). Factors negatively associated with female first authorship included poster format (OR 0.82, p=.039) and conference location in the United States/Canada (OR 0.76, p=.045). Similar trends were encountered for senior authorship. Productivity per senior author was similar between genders (p=.160); whereas a gender gap in productivity per first author during 2007 to 2011 (p=.020) equalized by 2017 to 2021 (p=.300). Among the 10 most productive authors of each gender, male authors delivered more presentations, but all authors shared similar format, content, and location. CONCLUSIONS: Women's representation in spine-related presentations did not increase at three major conferences over a 15-year period. Our findings regarding the positive effects of female mentorship, and international or virtual venues merit further investigation to address the gender gap. The upstream pipeline of recruiting women into academic spine surgery also needs to be addressed.

Gender concordance and publication productivity within Neurosurgical Focus: a 10-year review (2013-2022).

OBJECTIVE: The "leaky academic pipeline" describes how female representation in leadership positions has remained stagnant despite an increase in the number of female trainees. Female mentorship to female mentees, and female role models at higher academic positions have been shown to positively influence academic productivity. To the authors' knowledge, the impact of female editorial board representation on authorship trends in neurosurgical journals remains undescribed. This study aimed to analyze trends in the representation of female topic editors and its impact on female authorship within Neurosurgical Focus over a 10-year period. METHODS: Publicly available data were collected from the journal's website, inclusive from January 2013 to December 2022. The articles were grouped into technical and nontechnical themes based on their relevance to specific technical details regarding surgical techniques. Female gender-concordant publications were defined as publications having a female first author (or co-first author) and a female senior author. Linear regression analysis determined trends in publishing. Odds ratios and 95% CIs were calculated using logistic regression analysis. Pearson correlation and cross-correlation analyses were used to examine each pairwise comparison of time series. The statistical significance of associations was evaluated using t-tests and chi-square and Fisher's exact tests. RESULTS: The number of female topic editors and gender-concordant authors increased over time (p < 0.05). Women accounted for ≥ 50% of the topic editors on nontechnical themes relevant to education and gender diversity. Having a female senior author was associated with higher publication productivity for original research and review articles among female authors (OR 13.73, 95% CI 1.75-394.31; p < 0.05). Female authors had higher odds of publishing editorials with a female topic editor (OR 3.81, 95% CI 1.37-11.02; p < 0.01). Publications with female first and senior authors were significantly more likely to have female topic editors (OR 4.05, 95% CI 1.38-12.92; p < 0.01). A positive association was observed between female senior authors and female topic editors at lag -8, with a correlation coefficient of 0.19 (p = 0.03). CONCLUSIONS: Female attending-to-female trainee mentorship and female representation among editorial boards play a crucial role in enhancing academic productivity among women. Efforts to sustain academic productivity during the early-career period would presumably help increase female representation in neurosurgery.

Frailty indices in patients undergoing surgical resection of brain metastases: a systematic review.

Brain metastases are a relatively common occurrence in patients with primary malignancies, with an incidence ranging from 9 to 17%. Their prevalence has increased due to treatment advancements that have led to improved survival in cancer patients. Frailty has demonstrated the ability to outperform greater patient age in surgical decision-making by predicting postoperative adverse events that include mortality, extended length of hospital stay, non-routine discharge disposition, and postoperative complications. Although predictive models based on frailty have been increasingly utilized in literature, their generalizability remains questionable due to inadequacies in model development and validation. Our systematic review describes development and validation cohorts of frailty indices used in patients undergoing surgical resection of brain metastases and serves as a guide to their incorporation in the outpatient clinical setting. A systematic review of literature was performed using PubMed and Google Scholar. Articles that reported outcomes using frailty indices in patients undergoing surgical resection of brain metastases were included. The Newcastle Ottawa Scale (NOS) was used to assess for risk of bias across individual studies. Studies with NOS > 5 were considered high quality. We identified 238 articles through our search strategy. After a title and abstract screen, followed by a full text review, 9 articles met criteria for inclusion. The 5- and 11-factor modified frailty indices were most frequently utilized (n = 4). Five studies utilized single-hospital databases, and four utilized nationwide databases. Six studies were considered high-quality based on the NOS. Although frailty indices have demonstrated the ability to predict outcomes in patients undergoing surgical resection of brain metastases, further validation of these indices is necessary prior to their incorporation in clinical practice.

Failure to rescue as a patient safety indicator for neurosurgical patients: are we there yet? A systematic review.

Failure to rescue (FTR) is a standardized patient safety indicator (PSI-04) developed by the Agency for Healthcare Research and Quality (AHRQ) to assess the ability of a healthcare team to prevent mortality following a major complication. However, FTR rates vary and are impacted by non-modifiable individual patient characteristics such as baseline frailty. This raises concerns regarding the validity of FTR as an objective quality metric, as not all patients have the same baseline frailty level, or physiological reserve, to recover from major complications. Literature from other surgical specialties has identified flaws in FTR and called for risk-adjusted metrics. Currently, knowledge of factors influencing FTR and its subsequent implementation in neurosurgical patients are limited. The present review assesses trends in FTR utilization to assess how FTR performs as an objective neurosurgery quality metric. This review then proposes how FTR may be best modified to optimize use in neurosurgical patients. A PubMed search was performed to identify articles published until August 9, 2023. Studies that reported FTR as an outcome in patients undergoing neurosurgical procedures were included. A qualitative assessment was performed using the Newcastle Ottawa Scale (NOS). The initial search revealed 1232 citations. After a title and abstract screen, followed by a full text screen, 12 studies met criteria for inclusion. These articles measured FTR across a total of 764,349 patients undergoing neurosurgical procedures. Five studies analyzed FTR with regard to hospital characteristics, and three studies utilized patient characteristics to predict FTR. All studies were considered high quality based on the NOS. Modifications in criteria to measure FTR are necessary since FTR depends on patient characteristics like frailty. This would allow for the incorporation of risk-adjusted FTR metrics that would aid in clinical decision making in neurosurgical patients.

Preoperative frailty and 30-day mortality after resection of brain metastases: a multicenter surgical registry analysis of 11,038 patients.

OBJECTIVE: Surgery plays a key role in the management of brain metastases. Stratifying surgical risk and individualizing treatment will help optimize outcomes because there is clinical equipoise between radiation and resection as treatment options for many patients. Here, the authors used a multicenter database to assess the prognostic utility of baseline frailty, calculated with the Risk Analysis Index (RAI), for prediction of mortality within 30 days after surgery for brain metastasis. METHODS: The authors pooled patients who had been surgically treated for brain metastasis from the American College of Surgeons National Surgical Quality Improvement Program database (2012-2020). The authors studied the relationship between preoperative calculated RAI score and 30-day mortality after surgery for brain metastasis by using linear-by-linear proportional trend tests and binary logistic regression. The authors calculated C-statistics (with 95% CIs) in receiver operating characteristic (ROC) curve analysis to assess discriminative accuracy. RESULTS: The authors identified 11,038 patients who underwent brain metastasis resection with a median (interquartile range) age of 62 (54-69) years. The authors categorized patients into four groups on the basis of RAI: robust (RAI 0-20), 8.1% of patients; normal (RAI 21-30), 9.2%; frail (RAI 31-40), 75%; and severely frail (RAI ≥ 41), 8.1%. The authors found a positive correlation between 30-day mortality and frailty. RAI demonstrated superior predictive discrimination for 30-day mortality as compared with the 5-factor modified frailty index (mFI-5) on ROC analysis (C-statistic 0.65, 95% CI 0.65-0.66). CONCLUSIONS: The RAI frailty score accurately estimates 30-day mortality after brain metastasis resection and can be calculated online with an open-access software tool: https://nsgyfrailtyoutcomeslab.shinyapps.io/BrainMetsResection/. Accordingly, RAI can be utilized to measure surgical risk, guide treatment options, and optimize outcomes for patients with brain metastases. RAI has superior discrimination for predicting 30-day mortality compared with mFI-5.

Frailty Indexes in Metastatic Spine Tumor Surgery: A Narrative Review.

Quantification of preoperative frailty is an important prognostic tool in neurosurgical decision making. Metastatic spine tumor patients undergoing surgery are frail and have unfavorable outcomes that include an increased length of stay, unfavorable discharge disposition, and increased readmission rates. These undesirable outcomes result in higher treatment costs. A heterogeneous mixture of various frailty indexes is available with marked variance in their validation, leading to disparate clinical utility. The lack of a universally accepted definition for frailty, let alone in the method of creation or elements required in the formation of a frailty index, has resulted in a body of frailty literature lacking precision for predicting neurosurgical outcomes. In this review, we examine the role of reported frailty indexes in predicting postoperative outcomes after resection of metastatic spine tumors and aim to assist as a frailty guide for helping clinical decision making.

Prospective application of the risk analysis index to measure preoperative frailty in spinal tumor surgery: A single center outcomes analysis.

Introduction: Surgeons are frequently faced with challenging clinical dilemmas evaluating whether the benefits of surgery outweigh the substantial risks routinely encountered with spinal tumor surgery. The Clinical Risk Analysis Index (RAI-C) is a robust frailty tool administered via a patient-friendly questionnaire that strives to augment preoperative risk stratification. The objective of the study was to prospectively measure frailty with RAI-C and track postoperative outcomes after spinal tumor surgery. Methods: Patients surgically treated for spinal tumors were followed prospectively from 7/2020-7/2022 at a single tertiary center. RAI-C was ascertained during preoperative visits and verified by the provider. The RAI-C scores were assessed in relation to postoperative functional status (measured by modified Rankin Scale score [mRS]) at the last follow-up visit. Results: Of 39 patients, 47% were robust (RAI 0-20), 26% normal (21-30), 16% frail (31-40), and 11% severely frail (RAI 41+).). Pathology included primary (59%) and metastatic (41%) tumors with corresponding mRS>2 rates of 17% and 38%, respectively. Tumors were classified as extradural (49%), intradural extramedullary (46%), or intradural intramedullary (5.4%) with mRS>2 rates of 28%, 24%, and 50%, respectively. RAI-C had a positive association with mRS>2 â€‹at follow-up: 16% for robust, 20% for normal, 43% for frail, and 67% for severely frail. The two deaths in the series had the highest RAI-C scores (45 and 46) and were patients with metastatic cancer. The RAI-C was a robust and diagnostically accurate predictor of mRS>2 in receiver operating characteristic curve analysis (C-statistic: 0.70, 95 CI: 0.49-0.90). Conclusions: The findings exemplify the clinical utility of RAI-C frailty scoring for prediction of outcomes after spinal tumor surgery and it has potential to help in the surgical decision-making process as well as surgical consent. As a preliminary case series, the authors intend to provide additional data with a larger sample size and longer follow-up duration in a future study.

Frailty predicts hospital acquired infections after brain tumor resection: Analysis of 27,947 patients' data from a prospective multicenter surgical registry.

BACKGROUND: Hospital acquired infections (HAIs) present a significant source of economic burden in the United States. The role of frailty as a predictor of HAIs has not been illustrated among patients undergoing craniotomy for brain tumor resection (BTR). METHODS: The American College of Surgery National Surgical Quality Improvement Program (ACS-NSQIP) database was queried from 2015 to 2019 to identify patients who underwent craniotomy for BTR. Patients were categorized as pre-frail, frail and severely frail using the 5-factor Modified Frailty Index (mFI-5). Demographics, clinical and laboratory parameters, and HAIs were assessed. A multivariate logistic regression model was created to predict the occurrence of HAIs using these variables. RESULTS: A total of 27,947 patients were assessed. 1772 (6.3 %) of these patients developed an HAI after surgery. Severely frail patients were more likely to develop an HAI in comparison to pre-frail patients (OR = 2.48, 95 % CI = 1.65-3.74, p < 0.001 vs. OR = 1.43, 95 % CI = 1.18-1.72, p < 0.001). Ventilator dependence was the strongest predictor of developing an HAI (OR = 2.96, 95 % CI = 1.86-4.71, p < 0.001). CONCLUSION: Baseline frailty, by virtue of its ability to predict HAIs, should be utilized in adopting measures to reduce the incidence of HAIs.

A Predictive Model of Failure to Rescue After Thoracolumbar Fusion.

OBJECTIVE: Although failure to rescue (FTR) has been utilized as a quality-improvement metric in several surgical specialties, its current utilization in spine surgery is limited. Our study aims to identify the patient characteristics that are independent predictors of FTR among thoracolumbar fusion (TLF) patients. METHODS: Patients who underwent TLF were identified using relevant diagnostic and procedural codes from the National Surgical Quality Improvement Program (NSQIP) database from 2011-2020. Frailty was assessed using the risk analysis index (RAI). FTR was defined as death, within 30 days, following a major complication. Univariate and multivariable analyses were used to compare baseline characteristics and early postoperative sequelae across FTR and non-FTR cohorts. Receiver operating characteristic (ROC) curve analysis was used to assess the discriminatory accuracy of the frailty-driven predictive model for FTR. RESULTS: The study cohort (N = 15,749) had a median age of 66 years (interquartile range, 15 years). Increasing frailty, as measured by the RAI, was associated with an increased likelihood of FTR: odds ratio (95% confidence interval [CI]) is RAI 21-25, 1.3 [0.8-2.2]; RAI 26-30, 4.0 [2.4-6.6]; RAI 31-35, 7.0 [3.8-12.7]; RAI 36-40, 10.0 [4.9-20.2]; RAI 41- 45, 21.5 [9.1-50.6]; RAI ≥ 46, 45.8 [14.8-141.5]. The frailty-driven predictive model for FTR demonstrated outstanding discriminatory accuracy (C-statistic = 0.92; CI, 0.89-0.95). CONCLUSION: Baseline frailty, as stratified by type of postoperative complication, predicts FTR with outstanding discriminatory accuracy in TLF patients. This frailty-driven model may inform patients and clinicians of FTR risk following TLF and help guide postoperative care after a major complication.

Tetra ostial coronary arterial anatomy-A rare pattern in transposition.

BACKGROUND: Meticulous transfer of coronary arteries is of crucial importance in transposition and determines the success of the switch procedure. This report describes a coronary arterial anatomy consisting of four separate ostia from the two facing sinuses in a 6-month-old infant presenting with transposition and ventricular septal defect. CONCLUSION: Being a rare coronary arterial pattern not described in previous coding systems, the surgeon would do well to be aware of this possibility while performing the switch procedure.