Frailty and outcomes after craniotomy for brain tumor

Association of hospital volume with survival but not with postoperative mortality in glioblastoma patients in Belgium

OBJECTIVES

Standard of care treatment for glioblastoma (GBM) involves surgical resection followed by chemoradiotherapy. However, variations in treatment decisions and outcomes exist across hospitals and physicians. In Belgium, where oncological care is dispersed, the impact of hospital volume on GBM outcomes remains unexplored. This nationwide study aims to analyse interhospital variability in 30-day postoperative mortality and 1-/2-year survival for GBM patients.

METHODS

Data collected from the Belgian Cancer Registry, identified GBM patients diagnosed between 2016 and 2019. Surgical resection and biopsy cases were identified, and hospital case load was determined. Associations between hospital volume and mortality and survival probabilities were analysed, considering patient characteristics. Statistical analysis included logistic regression for mortality and Cox proportional hazard models for survival.

RESULTS

A total of 2269 GBM patients were identified (1665 underwent resection, 662 underwent only biopsy). Thirty-day mortality rates post-resection/post-biopsy were 5.1%/11.9% (target < 3%/<5%). Rates were higher in elderly patients and those with worse WHO-performance scores. No significant difference was found based on hospital case load. Survival probabilities at 1/2 years were 48.6% and 21.3% post-resection; 22.4% and 8.3% post-biopsy. Hazard ratio for all-cause death for low vs. high volume centres was 1.618 in first 0.7 year post-resection (p < 0.0001) and 1.411 in first 0.8 year post-biopsy (p = 0.0046).

CONCLUSION

While 30-day postoperative mortality rates were above predefined targets, no association between hospital volume and mortality was found. However, survival probabilities demonstrated benefits from treatment in higher volume centres, particularly in the initial months post-surgery. These variations highlight the need for continuous improvement in neuro-oncological practice and should stimulate reflection on the neuro-oncological care organisation in Belgium.

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 as a predictor of poor outcomes in patients with chronic subdural hematoma (cSDH): A systematic review of literature

Objective

In recent years, frailty has been reported to be an important predictive factor associated with worse outcomes in neurosurgical patients. The purpose of the present systematic review was to analyze the impact of frailty on outcomes of chronic subdural hematoma (cSDH) patients.

Methods

We performed a systematic review of literature using the PubMed, Cochrane library, Wiley online library, and Web of Science databases following PRISMA guidelines of studies evaluating the effect of frailty on outcomes of cSDH published until January 31, 2023.

Results

A comprehensive literature search of databases yielded a total of 471 studies. Six studies with 4085 patients were included in our final qualitative systematic review. We found that frailty was associated with inferior outcomes (including mortality, complications, recurrence, and discharge disposition) in cSDH patients. Despite varying frailty scales/indices used across studies, negative outcomes occurred more frequently in patients that were frail than those who were not.

Conclusions

While the small number of available studies, and heterogenous methodology and reporting parameters precluded us from conducting a pooled analysis, the results of the present systematic review identify frailty as a robust predictor of worse outcomes in cSDH patients. Future studies with a larger sample size and consistent frailty scales/indices are warranted to strengthen the available evidence. The results of this work suggest a strong case for using frailty as a pre-operative risk stratification measure in cSDH patients.

Frailty Predicts 30-day mortality following major complications in neurosurgery patients: The risk analysis index has superior discrimination compared to modified frailty index-5 and increasing patient age

Background

Postoperative complications after cranial or spine surgery are prevalent, and frailty can be a key contributing patient factor. Therefore, we evaluated frailty's impact on 30-day mortality. We compared the discrimination for risk analysis index (RAI), modified frailty index-5 (mFI-5) and increasing patient age for predicting 30-day mortality.

Methods

Patients with major complications following neurosurgery procedures between 2012- 2020 in the ACS-NSQIP database were included. We employed receiver operating characteristic (ROC) curve and examined discrimination thresholds for RAI, mFI-5, and increasing patient age for 30-day mortality. Independent relationships were examined using multivariable analysis.

Results

There were 19,096 patients included in the study and in the ROC analysis for 30-day mortality, RAI showed superior discriminant validity threshold C-statistic 0.655 (95% CI: 0.644-0.666), compared to mFI-5 C-statistic 0.570 (95% CI 0.559-0.581), and increasing patient age C-statistic 0.607 (95% CI 0.595-0.619). When the patient population was divided into subsets based on the procedures type (spinal, cranial or other), spine procedures had the highest discriminant validity threshold for RAI (Cstatistic 0.717). Furthermore, there was a frailty risk tier dose response relationship with 30-day mortalityy (p<0.001).

Conclusion

When a major complication arises after neurosurgical procedures, frail patients have a higher likelihood of dying within 30 days than their non-frail counterparts. The RAI demonstrated a higher discriminant validity threshold than mFI-5 and increasing patient age, making it a more clinically relevant tool for identifying and stratifying patients by frailty risk tiers. These findings highlight the importance of initiatives geared toward optimizing frail patients, to mitigate long-term disability.

How can we approach preoperative frailty and related factors in patients with cancer? A scoping review

AIM

To identify factors related to preoperative frailty in patients with cancer and map the tools that measure frailty.

DESIGN

A Scoping review.

METHODS

This scoping review based on Arksey and O'Malley's framework. Articles from CINAHL, PubMed, EMBASE, and PsycINFO databases published between January 2011 and April 2021. The searched keywords were concepts related to 'cancer', 'frailty' and 'measurement'.

RESULTS

While 728 records were initially identified, 24 studies were eventually selected. Research on frailty was actively conducted between 2020 and 2021. Factors related to preoperative frailty were age (22.9%), sex (11.4%), body mass index (11.4%) and physical status indicators (54.3%). The most common result of preoperative frailty was postoperative complications (35.0%). 24 instruments were used to measure frailty.

IMPLICATIONS FOR PATIENT CARE

Selecting an appropriate preoperative frailty screening tool can help improve patient postoperative treatment outcomes.

IMPACT

There are many instruments for assessing preoperative frailty, each evaluating a multi-dimensional feature. We identified the frailty screening tools used today, organized the factors that affect frailty, and explored the impact of frailty. Identifying and organizing frailty measurement tools will enable appropriate evaluation.

REPORTING METHOD

PRISMA-ScR.

PATIENT CONTRIBUTION

No patient or public contribution.

Preoperative patient-reported physical health-related quality of life predicts short-term postoperative outcomes in brain tumor patients

BACKGROUND

Patient-reported outcome measures (PROMs) are increasingly used to assess patients' perioperative health. The PROM Information System 29 (PROMIS-29) is a well-validated global health assessment instrument for patient physical health, though its utility in cranial neurosurgery is unclear.

OBJECTIVE

To investigate the utility of preoperative PROMIS-29 physical health (PH) summary scores in predicting postoperative outcomes in brain tumor patients.

METHODS

Adult brain tumor patients undergoing resection at a single institution (January 2018-December 2021) were identified and prospectively received PROMIS-29 surveys during pre-operative visits. PH summary scores were constructed and optimum prediction thresholds for length of stay (LOS), discharge disposition (DD), and 30-day readmission were approximated by finding the Youden index of the associated receiver operating characteristic curves. Bivariate analyses were used to study the distribution of low (z-score≤-1) versus high (z-score>-1) PH scores according to baseline characteristics. Logistic regression models quantified the association between preoperative PH summary scores and post-operative outcomes.

RESULTS

A total of 157 brain tumor patients were identified (mean age 55.4±15.4 years; 58.0% female; mean PH score 45.5+10.5). Outcomes included prolonged LOS (24.8%), non-routine discharge disposition (37.6%), and 30-day readmission (19.1%). On bivariate analysis, patients with low PH scores were significantly more likely to be diagnosed with a high-grade tumor (69.6% vs 38.85%, p=0.010) and less likely to have elective surgery (34.8% vs 70.9%, p=0.002). Low PH score was associated with prolonged LOS (26.1% vs 22%, p<0.001), nonroutine discharge (73.9% vs 31.3%, p<0.001) and 30-day readmission (43.5% vs 14.9%, p=0.003). In multivariate analysis, low PH scores predicted greater LOS (odds ratio [OR]=6.09, p=0.003), nonroutine discharge (OR=4.25, p=0.020), and 30-day readmission (OR=3.93, p=0.020).

CONCLUSION

The PROMIS-29 PH summary score predicts short-term postoperative outcomes in brain tumor patients and may be incorporated into prospective clinical workflows.

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 Hospital Frailty Risk Score Independently Predicts Postoperative Outcomes in Glioblastoma Patients

OBJECTIVE

The Hospital Frailty Risk Score (HFRS) is a tool for quantifying patient frailty using International Classification of Diseases, Tenth Revision codes. This study aimed to determine the utility of the HFRS in predicting surgical outcomes after resection of glioblastoma (GBM) and compare its prognostic ability with other validated indices such as American Society of Anesthesiologists score and Charlson Comorbidity Index.

METHODS

A retrospective analysis was conducted using a GBM patient database (2017-2019) at a single institution. HFRS was calculated using International Classification of Diseases, Tenth Revision codes. Bivariate logistic regression was used to model prognostic ability of each frailty index, and model discrimination was assessed using area under the receiver operating characteristic curve. Multivariate linear and logistic regression models were used to assess for significant associations between HFRS and continuous and binary postoperative outcomes, respectively.

RESULTS

The study included 263 patients with GBM. The HFRS had a significantly greater area under the receiver operating characteristic curve compared with American Society of Anesthesiologists score (P = 0.016) and Charlson Comorbidity Index (P = 0.037) for predicting 30-day readmission. On multivariate analysis, the HFRS was significantly and independently associated with hospital length of stay (P = 0.0038), nonroutine discharge (P = 0.018), and 30-day readmission (P = 0.0051).

CONCLUSIONS

The HFRS has utility in predicting postoperative outcomes for patients with GBM and more effectively predicts 30-day readmission than other frailty indices. The HFRS may be used as a tool for optimizing clinical decision making to reduce adverse postoperative outcomes in patients with GBM.

Association between frailty and clinical outcomes in patients undergoing craniotomy-systematic review and meta-analysis of observational studies

BACKGROUND

Frailty in patients undergoing craniotomy may affect perioperative outcomes. There have been a number of studies published in this field; however, evidence is yet to be summarized in a quantitative review format. We conducted a systematic review and meta-analysis to examine the effects of frailty on perioperative outcomes in patients undergoing craniotomy surgery.

METHODS

Our eligibility criteria included adult patients undergoing open cranial surgery. We searched MEDLINE via Ovid SP, EMBASE via Ovid SP, Cochrane Library, and grey literature. We included retrospective and prospective observational studies. Our primary outcome was a composite of complications as per the Clavien-Dindo classification system. We utilized a random-effects model of meta-analysis. We conducted three preplanned subgroup analyses: patients undergoing cranial surgery for tumor surgery only, patients undergoing non-tumor surgery, and patients older than 65 undergoing cranial surgery. We explored sources of heterogeneity through a sensitivity analysis and post hoc analysis.

RESULTS

In this review of 63,159 patients, the pooled prevalence of frailty was 46%. The odds ratio of any Clavien-Dindo grade 1-4 complication developing in frail patients compared to non-frail patients was 2.01 [1.90-2.14], with no identifiable heterogeneity and a moderate level of evidence. As per GradePro evidence grading methods, there was low-quality evidence for patients being discharged to a location other than home, length of stay, and increased mortality in frail patients.

CONCLUSION

Increased frailty was associated with increased odds of any Clavien-Dindo 1-4 complication. Frailty measurements may be used as an integral component of risk-assessment strategies to improve the quality and value of neurosurgical care for patients undergoing craniotomy surgery.

ETHICS AND DISSEMINATION

Formal ethical approval is not needed, as primary data were not collected.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO identification number: https://www.crd.york.ac.uk/prospero/display_record.php?RecordID=405240.

Endovascular Brain-Computer Interfaces in Poststroke Paralysis

Stroke is a leading cause of paralysis, most frequently affecting the upper limbs and vocal folds. Despite recent advances in care, stroke recovery invariably reaches a plateau, after which there are permanent neurological impairments. Implantable brain-computer interface devices offer the potential to bypass permanent neurological lesions. They function by (1) recording neural activity, (2) decoding the neural signal occurring in response to volitional motor intentions, and (3) generating digital control signals that may be used to control external devices. While brain-computer interface technology has the potential to revolutionize neurological care, clinical translation has been limited. Endovascular arrays present a novel form of minimally invasive brain-computer interface devices that have been deployed in human subjects during early feasibility studies. This article provides an overview of endovascular brain-computer interface devices and critically evaluates the patient with stroke as an implant candidate. Future opportunities are mapped, along with the challenges arising when decoding neural activity following infarction. Limitations arise when considering intracerebral hemorrhage and motor cortex lesions; however, future directions are outlined that aim to address these challenges.

Impact of Frailty on Postoperative Outcomes in Extended Endonasal Skull Base Surgery for Suprasellar Pathologies

OBJECTIVE

Frailty metrics estimate a patient's ability to tolerate physiologic stress and there are limited frailty data in patients undergoing expanded endonasal approaches (EEA) for suprasellar pathologies. Elevated frailty metrics have been associated with increased perioperative complications in patients undergoing craniotomies. We sought to examine this potential relationship in EEA.

STUDY DESIGN

Retrospective cohort study.

SETTING

Two tertiary academic skull base centers.

METHODS

Cases of patients undergoing EEA for suprasellar pathologies were reviewed. Demographic, treatment, survival, and postoperative outcomes data were recorded. Frailty was calculated using validated indexes, including the American Society of Anesthesiologists (ASA) classification, the modified 5-item frailty index (mFI-5), and the Charlson comorbidity index (CCI). Primary outcomes included 30-day medical and surgical complications.

RESULTS

A total of 88 patients were included, with 59 (67%) female patients and a mean age of 54 ± 15 years. The most common pathologies included 53 meningiomas (60.2%) and 21 craniopharyngiomas (23.9%). Most patients were ASA class 3 (54.5%) with mean mFI-5 0.82 ± 1.01 and CCI 4.18 ± 2.42. There was no association between increased frailty and 30-day medical or surgical outcomes (including postoperative cerebrospinal fluid leak), prolonged length of hospital stay, or mortality (all P > .05). Higher mFI-5 was associated with an increased risk for 30-day readmission (odds ratio: 2.35, 95% confidence Interval: 1.10-5.64, P = .04).

CONCLUSION

Despite the patient population being notably frail, we only identified an increased risk for 30-day readmission and observed no links with deteriorating surgical, medical, or mortality outcomes. This implies that conventional frailty metrics may not effectively align with EEA outcomes.

Strategies to Assess and Manage Frailty among Patients Diagnosed with Primary Malignant Brain Tumors

OPINION STATEMENT

Frailty refers to a biologic process that results in reduced physiologic and functional reserve. Patients diagnosed with primary malignant brain tumors experience high symptom burden from tumor and tumor-directed treatments that, coupled with previous comorbidities, may contribute to frailty. Within the primary malignant brain tumor population, frailty is known to associate with mortality, higher healthcare utilization, and increased risk of postoperative complications. As such, methods to assess and manage frailty are paramount. However, there is currently no clear consensus on how to best assess and manage frailty throughout the entirety of the disease trajectory. Given the association between frailty and health outcomes, more research is needed to determine best practice protocols for the assessment and management of frailty among patients diagnosed with primary malignant brain tumors.

Trends in frailty in brain tumor care during the COVID-19 pandemic in a nationwide hospital network in Germany

PURPOSE

Among brain tumor patients, frailty is associated with poor outcomes. The COVID-19 pandemic has led to increased frailty in the general population. To date, evidence on changes in frailty among brain tumor patients during the pandemic is lacking. We aimed to compare frailty among brain tumor patients in Germany during the COVID-19 pandemic to the pre-pandemic era and to assess potential effects on brain tumor care.

METHODS

In this retrospective observational study, we compared frailty among brain tumor patients hospitalized during the COVID-19 pandemic in years 2020 through 2022 to pre-pandemic years 2016 through 2019 based on administrative data from a nationwide network of 78 hospitals in Germany. Using the Hospital Frailty Risk Score (HFRS), frailty was categorized as low, intermediate, or high. We examined changes in frailty, patient demographics, the burden of comorbidity, rates of surgery, and mortality rates for different frailty groups during the pandemic and compared them to pre-pandemic levels.

RESULTS

Of the 20,005 included hospitalizations for brain tumors, 7979 were during the pandemic (mean age 60.0 years (± 18.4); females: 49.8%), and 12,026 in the pre-pandemic period (mean age: 59.0 years [± 18.4]; females: 49.2%). Average daily admissions decreased from 8.2 (± 5.1) during pre-pandemic years to 7.3 (± 4.5) during the pandemic (p < 0.01). The overall median HFRS decreased from 3.1 (IQR: 0.9-7.3) during the pre-pandemic years to 2.6 (IQR: 0.3-6.8) during the pandemic (p < 0.01). At the same time, the Elixhauser Comorbidity Index (ECI) decreased from 17.0 (± 12.4) to 16.1 (± 12.0; p < 0.01), but to a larger degree among high compared to low frailty cases (by 1.8 vs. 0.3 points; p = 0.04). In the entire cohort, the mean length of stay was significantly shorter in the pandemic period (9.5 days [± 10.7]) compared with pre-pandemic levels (10.2 days [± 11.8]; p < 0.01) with similar differences in the three frailty groups. Rates of brain tumor resection increased from 29.9% in pre-pandemic years to 36.6% during the pandemic (p < 0.001) without differences between frailty levels. Rates of in-hospital mortality did not change during the pandemic (6.1% vs. 6.7%, p = 0.07), and there was no interaction with frailty.

CONCLUSION

Even though our findings are limited in that the HFRS is validated only for patients ≥ 75 years of age, our study among patients of all ages hospitalized for brain tumors in Germany suggests a marked decrease in levels of frailty and in the burden of comorbidities during the COVID-19 pandemic.

The Five-Factor Modified Frailty Index as a Predictor of Outcomes in Deep Brain Stimulation Surgery for Parkinson's Disease

Introduction Parkinson's disease (PD) is one of the most common neurodegenerative diseases worldwide. Though there are many pharmacological therapeutics approved today for PD, surgical interventions such as deep brain stimulation (DBS) have shown convincing symptom mitigation and minimal complication rates in aggregate. Recently, the concept of frailty - defined as reduced physiologic reserve and function affecting multiple systems throughout the patient - has gained traction as a predictor of short-term postoperative morbidity and mortality. As such, the Modified Frailty Index-5 (mFI-5) is a postoperative morbidity predictor based on five factors and has been used in neurosurgical subspecialties such as tumor, vascular, and spine. Yet, there is minimal literature assessing frailty in the field of functional neurosurgery. With the prevalence of DBS in PD, this study evaluated the mFI-5 as a predictor of postoperative complications in a selected patient population. Methods The American College of Surgeons National Surgical Quality Improvement Program 2010-2019 Database was queried for Current Procedural Terminology (CPT) codes, as well as the International Classification of Diseases (ICD)-9 and ICD-10 codes pertaining to DBS procedures in PD patients. Each patient was scored by the mFI-5 protocol and stratified into groups of No Frailty (mFI-5=0), Moderate Frailty (mFI-5=1), and Significant Frailty (mFI-5≥2). The No Frailty group was used as a reference in multivariate and univariate analyses of the groups. Results A total of 1,645 subjects were included in the study and were subcategorized into groups of No Frailty (N=877), Moderate Frailty (N=561), and Significant Frailty (N=207) based on their frailty scores. The subjects' mean age was 65.8±9.4 years. Overall, 1,161 (70.6%) were male, while 484 (29.4%) were female. With reference to the No Frailty group in multivariate analysis, patients with moderate frailty experienced greater unplanned readmission (OR 2.613, 95% CI 1.143-5.973, p=0.023), while those with significant frailty experienced greater unplanned readmission (OR 3.723, 95% CI 1.376-10.073, p=0.010), any readmission (OR 2.396, 95% CI 1.098-5.230, p=0.028), non-home discharge (OR 4.317, 95% CI 1.765-10.562, p<0.001), and complications in aggregate (OR 2.211, 95% CI 1.285-3.806, p=0.004). Conclusions Until now, the available clinical tools were limited in providing accurate predictions with minimal information for postoperative outcomes in DBS for PD patients. Our data give clinicians insight into the relationship between frailty and surgical outcomes and will assist physicians in preparing for postoperative care by predicting outcomes of significantly frail PD patients receiving DBS therapy.

Frailty and postoperative outcomes in brain tumor patients: a systematic review subdivided by tumor etiology

PURPOSE

Frailty has gained prominence in neurosurgical oncology, with more studies exploring its relationship to postoperative outcomes in brain tumor patients. As this body of literature continues to grow, concisely reviewing recent developments in the field is necessary. Here we provide a systematic review of frailty in brain tumor patients subdivided by tumor type, incorporating both modern frailty indices and traditional Karnofsky Performance Status (KPS) metrics.

METHODS

Systematic literature review was performed using PRISMA guidelines. PubMed and Google Scholar were queried for articles related to frailty, KPS, and brain tumor outcomes. Only articles describing novel associations between frailty or KPS and primary intracranial tumors were included.

RESULTS

After exclusion criteria, systematic review yielded 52 publications. Amongst malignant lesions, 16 studies focused on glioblastoma. Amongst benign tumors, 13 focused on meningiomas, and 6 focused on vestibular schwannomas. Seventeen studies grouped all brain tumor patients together. Seven studies incorporated both frailty indices and KPS into their analyses. Studies correlated frailty with various postoperative outcomes, including complications and mortality.

CONCLUSION

Our review identified several patterns of overall postsurgical outcomes reporting for patients with brain tumors and frailty. To date, reviews of frailty in patients with brain tumors have been largely limited to certain frailty indices, analyzing all patients together regardless of lesion etiology. Although this technique is beneficial in providing a general overview of frailty's use for brain tumor patients, given each tumor pathology has its own unique etiology, this combined approach potentially neglects key nuances governing frailty's use and prognostic value.

RAI-measured frailty predicts non-home discharge following metastatic brain tumor resection: national inpatient sample analysis of 20,185 patients

PURPOSE

Preoperative risk stratification for patients undergoing metastatic brain tumor resection (MBTR) is based on established tumor-, patient-, and disease-specific risk factors for outcome prognostication. Frailty, or decreased baseline physiologic reserve, is a demonstrated independent risk factor for adverse outcomes following MBTR. The present study sought to assess the impact of frailty, measured by the Risk Analysis Index (RAI), on MBTR outcomes.

METHODS

All MBTR were queried from the National Inpatient Sample (NIS) from 2019 to 2020 using diagnosis and procedural codes. The relationship between preoperative RAI frailty score and our primary outcome - non-home discharge (NHD) - and secondary outcomes - complication rates, extended length of stay (eLOS), and mortality - were analyzed via univariate and multivariable analyses. Discriminatory accuracy was tested by computation of concordance statistics in area under the receiver operating characteristic (AUROC) curve analysis.

RESULTS

There were 20,185 MBTR patients from the NIS database from 2019 to 2020. Each patient's frailty status was stratified by RAI score: 0-20 (robust): 34%, 21-30 (normal): 35.1%, 31-40 (very frail): 13.9%, 41+ (severely frail): 16.8%. Compared to robust patients, severely frail patients demonstrated increased complication rates (12.2% vs. 6.8%, p < 0.001), eLOS (37.6% vs. 13.2%, p < 0.001), NHD (52.0% vs. 20.6%, p < 0.001), and mortality (9.9% vs. 4.1%, p < 0.001). AUROC curve analysis demonstrated good discriminatory accuracy of RAI-measured frailty in predicting NHD after MBTR (C-statistic = 0.67).

CONCLUSION

Increasing RAI-measured frailty status is significantly associated with increased complication rates, eLOS, NHD, and mortality following MBTR. Preoperative frailty assessment using the RAI may aid in preoperative surgical planning and risk stratification for patient selection.

Validating the VS-5 Score for Predicting Outcomes After Vestibular Schwannoma Resection in an Institutional Cohort

BACKGROUND

The VS-5 index was recently proposed to predict complications, nonroutine discharge, length of stay (LOS), and cost after vestibular schwannoma (VS) resection. The VS-5 ranges from 0-17.86, and a score ≥2 was proposed as being predictive of postoperative adverse events. We sought to determine whether the VS-5 is predictive of nonroutine discharge and length of stay in an institutional cohort.

METHODS

This is a retrospective study of 100 patients undergoing VS resection. For each patient, a VS-5 score was calculated. Bivariate analyses were conducted to determine differences in postoperative outcomes between high- and low-risk subgroups. Area under the receiver operating characteristic curve sensitivity/specificity analysis using Youden's Index was conducted to evaluate the optimal cutoff.

RESULTS

Fifty-one (51%) patients were classified as high risk (VS-5 ≥ 2). Patients with VS-5 ≥ 2 had higher frequency of nonroutine discharge (22% vs. 4%, P = 0.0150) and no significant difference in postoperative LOS. The area under the receiver operating characteristic curve for predicting nonroutine discharge was 0.78 ± 0.15 (P < 0.0001). The optimal cutoff for nonroutine discharge was ≥6, higher than the published cutoff of ≥ 2. The new cutoff was predictive of nonroutine discharge (47% vs. 6%, P = 0 < 0.0001) and LOS (6 [3-11] days vs. 3 [1-28] days, P = 0.0001).

CONCLUSIONS

The VS-5 frailty index predicted nonroutine discharge but not LOS. Youden's index indicates that a cutoff of 6, not 2, is optimal for predicting nonroutine discharge and LOS.

A comparative analysis of the Hospital Frailty Risk Score in predicting postoperative outcomes among intracranial tumor patients

OBJECTIVE

In recent years, frailty indices such as the 11- and 5-factor modified frailty indices (mFI-11 and mFI-5), American Society of Anesthesiologists (ASA) physical status classification, and Charlson Comorbidity Index (CCI) have been shown to be effective predictors of various postoperative outcomes in neurosurgical patients. The Hospital Frailty Risk Score (HFRS) is a well-validated tool for assessing frailty; however, its utility has not been evaluated in intracranial tumor surgery. In the present study, the authors investigated the accuracy of the HFRS in predicting outcomes following intracranial tumor resection and compared its utility to those of other validated frailty indices.

METHODS

A retrospective analysis was conducted using an intracranial tumor patient database at a single institution. Patients eligible for study inclusion were those who had undergone resection for an intracranial tumor between January 1, 2017, and December 31, 2019. ICD-10 codes were used to identify HFRS components and subsequently calculate risk scores. In addition to several postoperative variables, ASA class, CCI, and mFI-11 and mFI-5 scores were determined for each patient. Model discrimination was assessed using the area under the receiver operating characteristic curve (AUROC), and the DeLong test was used to assess for significant differences between AUROCs. Multivariate models for continuous outcomes were constructed using linear regression, whereas logistic regression models were used for categorical outcomes.

RESULTS

A total of 2518 intracranial tumor patients (mean age 55.3 ± 15.1 years, 53.4% female, 70.4% White) were included in this study. The HFRS had a statistically significant greater AUROC than ASA status, CCI, mFI-11, and mFI-5 for postoperative complications, high hospital charges, nonroutine discharge, and 90-day readmission. In the multivariate analysis, the HFRS was significantly and independently associated with postoperative complications (OR 1.14, p < 0.0001), hospital length of stay (coefficient = 0.50, p < 0.0001), high hospital charges (coefficient = 1917.49, p < 0.0001), nonroutine discharge (OR 1.14, p < 0.0001), and 90-day readmission (OR 1.06, p < 0.0001).

CONCLUSIONS

The study findings suggest that the HFRS is an effective predictor of postoperative outcomes in intracranial tumor patients and more effectively predicts adverse outcomes than other frailty indices. The HFRS may serve as an important tool for reducing patient morbidity and mortality in intracranial tumor surgery.

Assessment of the impact of frailty on adverse surgical outcomes in patients undergoing surgery for intracranial tumors using modified frailty index: A systematic review and meta-analysis

BACKGROUND

Modified frailty index (MFI) is an emerging quantitative measure of frailty; however, the quantified risk of adverse outcomes in surgeries for intracranial tumors associated with increasing MFI scores has not been thoroughly reviewed in a comprehensive manner.

METHODS

MEDLINE (PubMed), Scopus, Web of Science, and Embase were searched to identify observational studies on the association between 5 and 11 item-modified frailty index (MFI) and perioperative outcomes for neurosurgical procedures including complications, mortality, readmission, and reoperation rate. Primary analysis pooled all comparisons with MFI scores greater than or equal to 1 versus non-frail participants using mixed-effects multilevel model for each outcome.

RESULTS

In total, 24 studies were included in the review and 19 studies with 114,707 surgical operations were included in the meta-analysis. While increasing MFI scores were associated with worse prognosis for all included outcomes, reoperation rate was only significantly higher in patients with MFI ≥ 3. Among surgical pathologies, glioblastoma was influenced by a greater extent to the impact of frailty on complications and mortality that most other etiologies. In agreement with qualitative evaluation of the included studies, meta-regression did not reveal association between mean age of the comparisons and complications rate.

CONCLUSION

The results of this meta-analysis provides quantitative risk assessment of adverse outcomes in neuro-oncological surgeries with increased frailty. The majority of literature suggests that MFI is a superior and independent predictor of adverse outcomes compared to age.

Benchmarking short-term postoperative mortality across neurosurgery units: is hospital administrative data good enough for risk-adjustment?

BACKGROUND

Surgical mortality indicators should be risk-adjusted when evaluating the performance of organisations. This study evaluated the performance of risk-adjustment models that used English hospital administrative data for 30-day mortality after neurosurgery.

METHODS

This retrospective cohort study used Hospital Episode Statistics (HES) data from 1 April 2013 to 31 March 2018. Organisational-level 30-day mortality was calculated for selected subspecialties (neuro-oncology, neurovascular and trauma neurosurgery) and the overall cohort. Risk adjustment models were developed using multivariable logistic regression and incorporated various patient variables: age, sex, admission method, social deprivation, comorbidity and frailty indices. Performance was assessed in terms of discrimination and calibration.

RESULTS

The cohort included 49,044 patients. Overall, 30-day mortality rate was 4.9%, with unadjusted organisational rates ranging from 3.2 to 9.3%. The variables in the best performing models varied for the subspecialties; for trauma neurosurgery, a model that included deprivation and frailty had the best calibration, while for neuro-oncology a model with these variables plus comorbidity performed best. For neurovascular surgery, a simple model of age, sex and admission method performed best. Levels of discrimination varied for the subspecialties (range: 0.583 for trauma and 0.740 for neurovascular). The models were generally well calibrated. Application of the models to the organisation figures produced an average (median) absolute change in mortality of 0.33% (interquartile range (IQR) 0.15-0.72) for the overall cohort model. Median changes for the subspecialty models were 0.29% (neuro-oncology, IQR 0.15-0.42), 0.40% (neurovascular, IQR 0.24-0.78) and 0.49% (trauma neurosurgery, IQR 0.23-1.68).

CONCLUSIONS

Reasonable risk-adjustment models for 30-day mortality after neurosurgery procedures were possible using variables from HES, although the models for trauma neurosurgery performed less well. Including a measure of frailty often improved model performance.

Is surgical resection predict overall survival in frail patients with glioblastoma, IDH-wildtype?

PURPOSE

We assessed the impact of frailty on surgical outcomes, survival, and functional dependency in elderly patients harboring a glioblastoma, isocitrate dehydrogenase (IDH)-wildtype.

METHODS

We retrospectively reviewed records of old and frail patients surgical treated at a single neurosurgical institution between January 2018 to May 2021. Inclusion criteria were: (1) neuropathological diagnosis of glioblastoma, IDH-wildtype; (2) patient≥65years at the time of surgery; (3) available data to assess the frailty index according to the 5-modified Frailty Index (5-mFI).

RESULTS

A total of 47 patients were included. The 5-mFI was at 0 in 11 cases (23.4%), at 1 in 30 cases (63.8%), at 2 in two cases (4.2%), at 3 in two cases (4.2%), and at 4 in two cases (4.2%). A gross total resection was performed in 26 patients (55.3%), a subtotal resection was performed in 13 patients (27.6%), and a biopsy was performed in 8 patients (17.1%). The rate of 30-day postoperative complications was higher in the biopsy subgroup and in the 5-mFI=4 subgroup. Gross total resection and age≤70years were independent predictors of a longer overall survival. Sex, 5-mFI, postoperative complications, and preoperative Karnofsky Performance Status score did not influence overall survival and functional dependency.

CONCLUSION

In patients≥65years harboring a glioblastoma, IDH-wildtype, gross total resection remains an independent predictor of longer survival and good postoperative functional recovery. The frailty, assessed by the 5-mFI score, does not influence surgery and outcomes in this dataset. Further confirmatory analyses are required.

Frailty as a predictor of neurosurgical outcomes in brain tumor patients: A systematic review and meta-analysis

BACKGROUND

Patients with frailty are at a high risk of poor health outcomes, and frailty has been explored as a predictor of adverse events, such as perioperative complications, readmissions, falls, disability, and mortality in the neurosurgical literature. However, the precise relationship between frailty and neurosurgical outcomes in patients with brain tumor has not been established, and thus evidence-based advancements in neurosurgical management. The objectives of this study are to describe existing evidence and conduct the first systematic review and meta-analysis of the relationship between frailty and neurosurgical outcomes among brain tumor patients.

METHODS

Seven English databases and four Chinese databases were searched to identify neurosurgical outcomes and the prevalence of frailty among patients with a brain tumor, with no restrictions on the publication period. According to the Joanna Briggs Institute (JBI) Manual for Evidence Synthesis and the Preferred Reporting Items for Systematic reviews and Meta-Analysis (PRISMA) guidelines, two independent reviewers employed the Newcastle-Ottawa scale in cohort studies and JBI Critical Appraisal Checklist for Cross-sectional Studies to evaluate the methodological quality of each study. Then random-effects or fixed-effects meta-analysis was used in combining odds ratio (OR) or hazard ratio (RR) for the categorical data and continuous data of neurosurgical outcomes. The primary outcomes are mortality and postoperative complications, and secondary outcomes include readmission, discharge disposition, length of stay (LOS), and hospitalization costs.

RESULTS

A total of 13 papers were included in the systematic review, and the prevalence of frailty ranged from 1.48 to 57%. Frailty was significantly associated with increased risk of mortality (OR = 1.63; CI = 1.33-1.98; p < 0.001), postoperative complications (OR = 1.48; CI = 1.40-1.55; p < 0.001; I ² = 33%), nonroutine discharge disposition to a facility other than home (OR = 1.72; CI = 1.41-2.11; p < 0.001), prolonged LOS (OR = 1.25; CI = 1.09-1.43; p = 0.001), and high hospitalization costs among brain tumor patients. However, frailty was not independently associated with readmission (OR = 0.99; CI = 0.96-1.03; p = 0.74).

CONCLUSION

Frailty is an independent predictor of mortality, postoperative complications, nonroutine discharge disposition, LOS, and hospitalization costs among brain tumor patients. In addition, frailty plays a significant potential role in risk stratification, preoperative shared decision making, and perioperative management.

SYSTEMATIC REVIEW REGISTRATION

PROSPERO CRD42021248424.

Machine Learning Models for Predicting Postoperative Outcomes following Skull Base Meningioma Surgery

Objective  While predictive analytic techniques have been used to analyze meningioma postoperative outcomes, to our knowledge, there have been no studies that have investigated the utility of machine learning (ML) models in prognosticating outcomes among skull base meningioma patients. The present study aimed to develop models for predicting postoperative outcomes among skull base meningioma patients, specifically prolonged hospital length of stay (LOS), nonroutine discharge disposition, and high hospital charges. We also validated the predictive performance of our models on out-of-sample testing data. Methods  Patients who underwent skull base meningioma surgery between 2016 and 2019 at an academic institution were included in our study. Prolonged hospital LOS and high hospital charges were defined as >4 days and >$47,887, respectively. Elastic net logistic regression algorithms were trained to predict postoperative outcomes using 70% of available data, and their predictive performance was evaluated on the remaining 30%. Results  A total of 265 patients were included in our final analysis. Our cohort was majority female (77.7%) and Caucasian (63.4%). Elastic net logistic regression algorithms predicting prolonged LOS, nonroutine discharge, and high hospital charges achieved areas under the receiver operating characteristic curve of 0.798, 0.752, and 0.592, respectively. Further, all models were adequately calibrated as determined by the Spiegelhalter Z -test ( p >0.05). Conclusion  Our study developed models predicting prolonged hospital LOS, nonroutine discharge disposition, and high hospital charges among skull base meningioma patients. Our models highlight the utility of ML as a tool to aid skull base surgeons in providing high-value health care and optimizing clinical workflows.

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.

The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases

BACKGROUND

Frailty, a decline in physiological reserve, prognosticates poorer outcomes for several neurosurgical conditions. However, the impact of frailty on traumatic brain injury outcomes is not well characterized.

OBJECTIVE

To analyze the association between frailty and traumatic intracranial hemorrhage (tICH) outcomes in a nationwide cohort.

METHODS

We identified all adult admissions for tICH in the National Trauma Data Bank from 2007 to 2017. Frailty was quantified using the validated modified 5-item Frailty Index (mFI-5) metric (range = 0-5), with mFI-5 ≥2 denoting frailty. Analyzed outcomes included in-hospital mortality, favorable discharge disposition, complications, ventilator days, and intensive care unit (ICU) and total length of stay (LOS). Multivariable regression assessed the association between mFI-5 and outcomes, adjusting for patient demographics, hospital characteristics, injury severity, and neurosurgical intervention.

RESULTS

A total of 691 821 tICH admissions were analyzed. The average age was 57.6 years. 18.0% of patients were frail (mFI-5 ≥ 2). Between 2007 and 2017, the prevalence of frailty grew from 7.9% to 21.7%. Frailty was associated with increased odds of mortality (odds ratio [OR] = 1.36, P < .001) and decreased odds of favorable discharge disposition (OR = 0.72, P < .001). Frail patients exhibited an elevated rate of complications (OR = 1.06, P < .001), including unplanned return to the ICU (OR = 1.55, P < .001) and operating room (OR = 1.17, P = .003). Finally, frail patients experienced increased ventilator days (+12%, P < .001), ICU LOS (+11%, P < .001), and total LOS (+13%, P < .001). All associations with death and disposition remained significant after stratification for age, trauma severity, and neurosurgical intervention.

CONCLUSION

For patients with tICH, frailty predicted higher mortality and morbidity, independent of age or injury severity.

Risk for morbidity and mortality after neurosurgery in older patients with high grade gliomas - a retrospective population based study

Background

Although high grade gliomas largely affect older patients, current evidence on neurosurgical complications is mostly based on studies including younger study populations. We aimed to investigate the risk for postoperative complications after neurosurgery in a population-based cohort of older patients with high grade gliomas, and explore changes over time.

Methods

In this retrospective study we have used data from the Swedish Brain Tumour Registry and included patients in Sweden age 65 years or older, with surgery 1999–2017 for high grade gliomas. We analysed number of surgical procedures per year and which factors contribute to postoperative morbidity and mortality.

Results

The study included 1998 surgical interventions from an area representing 60% of the Swedish population. Over time, there was an increase in surgical interventions in relation to the age specific population (p < 0.001).

Postoperative morbidity for 2006–2017 was 24%. Resection and not having a multifocal tumour were associated with higher risk for postoperative morbidity. Postoperative mortality for the same period was 5%. Increased age, biopsy, and poor performance status was associated with higher risk for postoperative mortality.

Conclusions

This study shows an increase in surgical interventions over time, probably representing a more active treatment approach.

The relatively low postoperative morbidity- and mortality-rates suggests that surgery in older patients with suspected high grade gliomas can be a feasible option. However, caution is advised in patients with poor performance status where the possible surgical intervention would be a biopsy only.

Further, this study underlines the need for more standardised methods of reporting neurosurgical complications.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12877-022-03478-6.

Prognostic Significance of Baseline Frailty Status in Traumatic Spinal Cord Injury

BACKGROUND

Literature evaluating frailty in traumatic spinal cord injury (tSCI) is limited.

OBJECTIVE

To evaluate the prognostic significance of baseline frailty status in tSCI.

METHODS

Patients with tSCI were identified in the National Inpatient Sample from 2015 to 2018 and stratified according to frailty status, which was quantified using the 11-point modified frailty index (mFI).

RESULTS

Among 8825 operatively managed patients with tSCI identified (mean age 57.9 years, 27.6% female), 3125 (35.4%) were robust (mFI = 0), 2530 (28.7%) were prefrail (mFI = 1), 1670 (18.9%) were frail (mFI = 2), and 1500 (17.0%) were severely frail (mFI ≥ 3). One thousand four-hundred forty-five patients (16.4%) were routinely discharged (to home), and 320 (3.6%) died during hospitalization, while 2050 (23.3%) developed a severe complication, and 2175 (24.6%) experienced an extended length of stay. After multivariable analysis adjusting for age, illness severity, trauma burden, and other baseline covariates, frailty (by mFI-11) was independently associated with lower likelihood of routine discharge [adjusted odds ratio (aOR) 0.82, 95% CI 0.77-0.87; P &lt; .001] and development of a severe complication (aOR 1.17, 95% CI 1.12-1.23; P &lt; .001), but not with in-hospital mortality or extended length of stay. Subgroup analysis by age demonstrated robust associations of frailty with routine discharge in advanced age groups (aOR 0.71 in patients 60-80 years and aOR 0.69 in those older than 80 years), which was not present in younger age groups.

CONCLUSION

Frailty is an independent predictor of clinical outcomes after tSCI, especially among patients of advanced age. Our large-scale analysis contributes novel insights into limited existing literature on this topic.

Frailty in Patients Undergoing Surgery for Brain Tumors: A Systematic Review of the Literature

BACKGROUND

Emerging literature suggests that frailty may be an important driver of postoperative outcomes in patients undergoing surgery for brain tumors. We systematically reviewed the literature on frailty in patients with brain tumor with respect to 3 questions: What methods of frailty assessment have been applied to patients with brain tumor? What thresholds have been defined to distinguish between different levels of frailty? What clinical outcomes does frailty predict in patients with brain tumor?

METHODS

A literature search was conducted using PubMed, Embase, The Cochrane Library, Web of Science, Scopus, and ClinicalTrials.gov. Included studies were specific to patients with brain tumor, used a validated instrument to assess frailty, and measured the impact of frailty on postoperative outcomes.

RESULTS

Of 753 citations, 21 studies met our inclusion criteria. Frailty instruments were studied, in order of frequency reported, including the 5-factor modified frailty index, 11-factor modified frailty index, Johns Hopkins Adjusted Clinical Groups frailty-defining diagnosis indicator, and Hopkins Frailty Score. Multiple different conventions and thresholds were reported for distinguishing the levels of frailty. Clinical outcomes associated with frailty included mortality, survival, complications, length of stay, charges, costs, discharge disposition, readmissions, and operative time.

CONCLUSIONS

Frailty is an increasingly popular concept in patients with brain tumor that is associated with important clinical outcomes. However, the extant literature is largely comprised of retrospective studies with heterogeneous definitions of frailty, thresholds for defining levels of frailty, and patient populations. Further work is needed to understand best practices in assessing frailty in patients with brain tumor and applying these concepts to clinical practice.

Advanced frailty assessment tool predicts successful awake craniotomy in a 92-year-old patient: A case report

Background:

The awake craniotomy (AC) procedure allows for safe and maximal resection of brain tumors from highly eloquent regions. However, geriatric patients are often viewed as poor candidates for AC due to age and medical comorbidities. Frailty assessments gauge physiological reserve for surgery and are valuable tools for preoperative decision-making. Here, we present a novel case illustrating how frailty scoring enabled an elderly but otherwise healthy female to undergo successful AC for tumor resection.

Case Description:

A 92-year-old right-handed female with history of hypertension and basal cell skin cancer presented with a 1-month history of progressive aphasia and was found to have a ring-enhancing left frontoparietal mass abutting the rolandic cortex concerning for malignant neoplasm. Frailty scoring with the recalibrated risk analysis index (RAI-C) tool revealed a score of 30 (of 81) indicating low surgical risk. The patient and family were counseled appropriately that, despite advanced chronological age, a low frailty score predicts favorable surgical outcomes. The patient underwent left-sided AC for resection of tumor and experienced immediate improvement of speech intraoperatively. After surgery, the patient was neurologically intact and had an unremarkable postoperative course with significant improvements from preoperatively baseline at follow-up.

Conclusion:

To the best of our knowledge, this case represents the oldest patient to undergo successful AC for brain tumor resection. Nonfrail patients over 90 years of age with the proper indications may tolerate cranial surgery. Frailty scoring is a powerful tool for preoperative risk assessment in the geriatric neurosurgery population.

Factors Predicting Frailty Among Postoperative Brain Tumor Patients

ABSTRACT

BACKGROUND: Surgical frailty is a condition in which patients are weak with varied recovery of various organ functions after surgery resulting in unpleasant outcomes. Frailty studies have been conducted in several populations with a limited knowledge on postoperative brain tumor patients. This study aimed to examine factors predicting frailty in brain tumor patients after craniotomy. METHODS: This study was a cross-sectional predictive study. The sample included 85 patients who were 18 years or older and underwent craniotomy with tumor removal from 1 university hospital in Bangkok, Thailand, between February and October 2021. Data were analyzed using descriptive statistic, Pearson correlation, and multiple linear regression, which determined significance level at .05. RESULTS: The prevalence of frailty among participants was 50.6%. Postoperative symptom and mood state were positively associated with frailty (r = 0.410 and r = 0.448, respectively; P < .01). Postoperative symptom, mood state, age, tumor type, and income could explain the variance of frailty in brain tumor patients after craniotomy by 40.3% (R2 = 0.403, P < .01). CONCLUSION: Healthcare providers should plan for discharge planning including assessment and develop the intervention for managing postoperative symptoms and psychological symptoms to promote recovery from frailty that generally occurs after brain tumor surgery.

Worse cranial neurosurgical outcomes predicted by increasing frailty in patients with interhospital transfer status: Analysis of 47,736 patients from the National Surgical Quality Improvement Program (NSQIP) 2015-2019

INTRODUCTION

With limited healthcare resources and risks associated with unwarranted interhospital transfers (IHT), it is important to select patients most likely to have improved outcomes with IHT. The present study analyzed the effect of IHT and frailty on postoperative outcomes in a large database of patients who underwent cranial neurosurgical operations.

METHODS

The National Surgical Quality Improvement Program (NSQIP) database was queried for patients who underwent cranial neurosurgical procedures (2015-2019, N = 47,736). Baseline demographics, clinical characteristics, and outcome variables were compared between IHT and n-IHT patients. Univariate and multivariable analyses analyzed the effect of IHT status on postoperative outcomes and the utility of frailty (modified frailty index-5 [mFI-5] stratified into "pre-frail, "frail", and "severely frail") as a preoperative risk factor. Effect sizes from regression analyses were presented as odds ratio (OR) with associated 95% confidence intervals (95% CI).

RESULTS

Of 47,736 patients with cranial neurosurgical operations, 9612 (20.1%) were IHT. Patients with IHT were older, frailer, with a higher rate of functional dependence. In multivariable analysis adjusted for baseline covariates, IHT status was independent associated with 30-day mortality (OR: 2.0, 95% CI: 1.2-3.6), major complication (OR: 1.5, 95% CI: 1.1-2.1), extended hospital length of stay (eLOS) (OR: 3.8, 95% CI: 3.6-4.1), and non-routine discharge disposition (OR: 2.4, 95% CI: 1.8-3.2) (all p < 0.05). Within the IHT cohort, increasing frailty ("pre-frail", "frail", "severely frail") was independently associated with increasing odds of 30-day mortality (OR: 1.4, 1.9, 3.9), major complication (OR: 1.4, 1.9, 3.3), unplanned readmission (OR: 1.1, 1.4, 2.1), reoperation (OR: 1.3, 1.5, 1.9), eLOS (OR: 1.2, 1.3, 1.5), and non-routine discharge (OR: 1.4, 1.9, 4.4) (all p < 0.05). All levels of frailty were more strongly associated with postoperative outcomes than chronological age.

CONCLUSIONS

This novel analysis suggests that patients transferred for cranial neurosurgery operations are significantly more likely to have worse postoperative health outcomes. Furthermore, the analysis suggests that frailty (as measured by mFI-5) is a powerful independent predictor of outcomes in transferred cranial neurosurgery patients. The findings support the use of frailty scoring in the pre-transfer and preoperative setting for patient counseling and risk stratification.

Use of the 5-Factor Modified Frailty Index to Predict Hospital-Acquired Infections and Length of Stay Among Neurotrauma Patients Undergoing Emergent Craniotomy/Craniectomy

OBJECTIVE

Traumatic brain injury is a significant public health concern often complicated by hospital-acquired infections (HAIs); however, previous evaluations of factors predictive of risk for HAI have generally been single-center analyses or limited to surgical site infections. Frailty assessment has been shown to provide effective risk stratification in neurosurgery. We evaluated whether frailty status or age is more predictive of HAIs and length of stay among neurotrauma patients requiring craniectomy/craniotomy.

METHODS

In this cross-sectional analysis, the American College of Surgeons National Surgical Quality Improvement Program 2015-2019 dataset was queried to identify neurotrauma patients who underwent craniectomies/craniotomies. The effects of frailty status (using the 5-factor modified frailty index [mFI-5]) and age on occurrence of HAIs and other 30-day adverse events were compared using univariate analysis. The discriminative ability of each measure was defined by multivariate modeling.

RESULTS

Of 3284 patients identified, 1172 (35.7%) contracted an HAI postoperatively. Increasing frailty score predicted increased HAI risk (odds ratio [OR] = 1.36, 95% confidence interval [CI] = 1.05-1.77, P = 0.022 for mFI-5 = 1 and OR = 2.01, 95% CI = 1.30-3.11, P = 0.002 for mFI-5≥3), whereas increasing age did not (OR = 0.996, 95% CI = 0.989-1.002, P = 0.009). Median length of stay was significantly longer in patients with HAI (16 days [IQR = 9-23]) versus no HAI (7 days [IQR = 4-13]) (P < 0.001). Median daily costs on the ward and neuro-intensive care unit were higher with HAI than with no HAI (neuro-ICU: $111,818.08 [IQR = 46,418.05-189,947.34] vs. $48,920.41 [IQR = 20,185.20-107,712.54], P < 0.001).

CONCLUSIONS

Increasing mFI-5 correlated with increased HAI risk. Neurotrauma patients who developed an HAI after craniectomy/craniotomy had longer hospitalizations and higher care costs. Frailty scoring improves risk stratification among these patients and may assist in reducing total hospital length of stay and total accrued costs to patients.

The role of frailty in the clinical management of neurofibromatosis type 1: a mixed-effects modeling study using the Nationwide Readmissions Database

OBJECTIVE

Frailty embodies a state of increased medical vulnerability that is most often secondary to age-associated decline. Recent literature has highlighted the role of frailty and its association with significantly higher rates of morbidity and mortality in patients with CNS neoplasms. There is a paucity of research regarding the effects of frailty as it relates to neurocutaneous disorders, namely, neurofibromatosis type 1 (NF1). In this study, the authors evaluated the role of frailty in patients with NF1 and compared its predictive usefulness against the Elixhauser Comorbidity Index (ECI).

METHODS

Publicly available 2016–2017 data from the Nationwide Readmissions Database was used to identify patients with a diagnosis of NF1 who underwent neurosurgical resection of an intracranial tumor. Patient frailty was queried using the Johns Hopkins Adjusted Clinical Groups frailty-defining indicator. ECI scores were collected in patients for quantitative measurement of comorbidities. Propensity score matching was performed for age, sex, ECI, insurance type, and median income by zip code, which yielded 60 frail and 60 nonfrail patients. Receiver operating characteristic (ROC) curves were created for complications, including mortality, nonroutine discharge, financial costs, length of stay (LOS), and readmissions while using comorbidity indices as predictor values. The area under the curve (AUC) of each ROC served as a proxy for model performance.

RESULTS

After propensity matching of the groups, frail patients had an increased mean ± SD hospital cost ($85,441.67 ± $59,201.09) compared with nonfrail patients ($49,321.77 ± $50,705.80) (p = 0.010). Similar trends were also found in LOS between frail (23.1 ± 14.2 days) and nonfrail (10.7 ± 10.5 days) patients (p = 0.0020). For each complication of interest, ROC curves revealed that frailty scores, ECI scores, and a combination of frailty+ECI were similarly accurate predictors of variables (p > 0.05). Frailty+ECI (AUC 0.929) outperformed using only ECI for the variable of increased LOS (AUC 0.833) (p = 0.013). When considering 1-year readmission, frailty (AUC 0.642) was outperformed by both models using ECI (AUC 0.725, p = 0.039) and frailty+ECI (AUC 0.734, p = 0.038).

CONCLUSIONS

These findings suggest that frailty and ECI are useful in predicting key complications, including mortality, nonroutine discharge, readmission, LOS, and higher costs in NF1 patients undergoing intracranial tumor resection. Consideration of a patient’s frailty status is pertinent to guide appropriate inpatient management as well as resource allocation and discharge planning.

Association of Patient Frailty With Vestibular Schwannoma Resection Outcomes and Machine Learning Development of a Vestibular Schwannoma Risk Stratification Score

BACKGROUND

Patient frailty is predictive of higher neurosurgical morbidity and mortality. However, existing frailty measures are hindered by lack of specificity to neurosurgery.

OBJECTIVE

To analyze the association between 3 risk stratification scores and outcomes for nationwide vestibular schwannoma (VS) resection admissions and develop a custom VS risk stratification score.

METHODS

We identified all VS resection admissions in the National Inpatient Sample (2002-2017). Three risk stratification scores were analyzed: modified Frailty Index-5, modified Frailty Index-11(mFI-11), and Charlson Comorbidity Index (CCI). Survey-weighted multivariate regression evaluated associations between frailty and inpatient outcomes, adjusting for patient demographics, hospital characteristics, and disease severity. Subsequently, we used k-fold cross validation and Akaike Information Criterion-based model selection to create a custom risk stratification score.

RESULTS

We analyzed 32 465 VS resection admissions. High frailty, as identified by the mFI-11 (odds ratio [OR] = 1.27, P = .021) and CCI (OR = 1.72, P < .001), predicted higher odds of perioperative complications. All 3 scores were also associated with lower routine discharge rates and elevated length of stay (LOS) and costs (all P < .05). Our custom VS-5 score (https://skullbaseresearch.shinyapps.io/vs-5_calculator/) featured 5 variables (age ≥60 years, hydrocephalus, preoperative cranial nerve palsies, diabetes mellitus, and hypertension) and was predictive of higher mortality (OR = 6.40, P = .001), decreased routine hospital discharge (OR = 0.28, P < .001), and elevated complications (OR = 1.59, P < .001), LOS (+48%, P < .001), and costs (+23%, P = .001). The VS-5 outperformed the modified Frailty Index-5, mFI-11, and CCI in predicting routine discharge (all P < .001), including in a pseudoprospective cohort (2018-2019) of 3885 admissions.

CONCLUSION

Patient frailty predicted poorer inpatient outcomes after VS surgery. Our custom VS-5 score outperformed earlier risk stratification scores.

Comparative associations of baseline frailty status and age with postoperative mortality and duration of hospital stay following metastatic brain tumor resection

Metastatic brain tumors are the most common intracranial neoplasms diagnosed in the United States. Although baseline frailty status has been validated as a robust predictor of morbidity and mortality across various surgical disciplines, evidence within cranial neurosurgical oncology is limited. Adult metastatic brain tumor patients treated with resection were identified in the National Inpatient Sample during the period of 2015-2018. Frailty was quantified using the 11-point modified frailty index (mFI-11) and its association with clinical endpoints was evaluated through complex samples multivariable logistic regression and receiver operating characteristic (ROC) curve analyses. Among 13,650 metastatic brain tumor patients identified (mean age 62.8 years), 26.8% (n = 3665) were robust (mFI = 0), 31.4% (n = 4660) were pre-frail (mFI = 1), 23.2% (n = 3165) were frail (mFI = 2), and 15.8% (n = 2160) were severely frail (mFI ≥ 3). On univariable assessment, these cohorts stratified by increasing frailty were significantly associated with postoperative complications (13.6%, 15.9%, 23.9%, 26.4%; p < 0.001), mortality (1.2%, 1.4%, 2.7%, 3.2%; p = 0.028), and extended length of stay (eLOS) (15.7%, 22.5%, 28.9%, 37.7%; p < 0.001). Following multivariable logistic regression analysis, frailty (by mFI-11) was independently associated with postoperative mortality (aOR 1.34, 95% CI 1.08, 1.65) and eLOS (aOR 1.26, 95% CI 1.17, 1.37), while increasing age was not associated with these endpoints. ROC curve analysis demonstrated superior discrimination of frailty (by mFI-11) in comparison with age for both mortality (AUC 0.61 vs. 0.58) and eLOS (AUC 0.61 vs. 0.53). Further statistical assessment through propensity score adjustment and decision tree analysis confirmed and extended the findings of the primary analytical models. Frailty may be a more robust predictor of postoperative outcomes in comparison with age following metastatic brain tumor resection.

Brain tumor craniotomy outcomes for dual-eligible medicare and medicaid patients: a 10-year nationwide analysis

INTRODUCTION

Dual-eligible (DE) patients, simultaneous Medicare and Medicaid beneficiaries, have been shown to have poorer clinical outcomes while incurring higher resource utilization. However, neurosurgical oncology outcomes for DE patients are poorly characterized. Accordingly, we examined the impact of DE status on perioperative outcomes following glioma, meningioma, or metastasis resection.

METHODS

We identified all admissions undergoing a craniotomy for glioma, meningioma, or metastasis resection in the National Inpatient Sample from 2002 to 2011. Assessed outcomes included inpatient mortality, complications, discharge disposition, length of stay (LOS), and hospital costs. Multivariable regression adjusting for 13 patient, severity, and hospital characteristics assessed the association between DE status and outcomes, relative to four reference insurance groups (Medicare-only, Medicaid-only, private insurance, self-pay).

RESULTS

Of 195,725 total admissions analyzed, 3.0% were dual-eligible beneficiaries (n = 5933). DEs were younger than Medicare admissions (P < 0.001) but older than Medicaid, private, and self-pay admissions (P < 0.001). Relative to other insurance groups, DEs also exhibited higher severity of illness, risk of mortality, and Charlson Comorbidity Index scores as well as treatment at low-volume hospitals (all P < 0.001). DEs had lower mortality than self-pay admissions (odds ratio [OR] 0.47, P = 0.017). Compared to Medicare, Medicaid, private, and self-pay admissions, DEs had lower rates of discharge disposition (OR 0.53, 0.50, 0.34, and 0.27, respectively, all P < 0.001). DEs also had higher complications (OR 1.23 and 1.20, respectively, both P < 0.05) and LOS (β = 1.06 and 1.13, respectively, both P < 0.01) than Medicare and private insurance beneficiaries. Differences in discharge disposition remained significant for all three tumor subtypes, but only glioma DE admissions continued to exhibit higher complications and LOS.

CONCLUSIONS

DEs undergoing definitive craniotomy for brain tumor had higher rates of unfavorable discharge disposition compared to all other insurance groups and, especially for glioma surgery, had higher inpatient complication rates and LOS. Practice and policy reforms to improve outcomes for this vulnerable clinical population are warranted.

Association of baseline frailty status and age with postoperative morbidity and mortality following intracranial meningioma resection

PURPOSE

Although numerous studies have established advanced patient age as a risk factor for poor outcomes following intracranial meningioma resection, large-scale evaluation of frailty for preoperative risk assessment has yet to be examined.

METHODS

Weighted discharge data from the National Inpatient Sample were queried for adult patients undergoing benign intracranial meningioma resection from 2015 to 2018. Complex samples multivariable logistic regression models and receiver operating characteristic curve analysis were performed to evaluate adjusted associations and discrimination of frailty, quantified using the 11-factor modified frailty index (mFI), for clinical endpoints.

RESULTS

Among 20,250 patients identified (mean age 60.6 years), 35.4% (n = 7170) were robust (mFI = 0), 34.5% (n = 6985) pre-frail (mFI = 1), 20.1% (n = 4075) frail (mFI = 2), and 10.0% (n = 2020) severely frail (mFI ≥ 3). On univariable analysis, these sub-cohorts stratified by increasing frailty were significantly associated with the development of Clavien-Dindo grade IV (life-threatening) complications (inclusive of those resulting in mortality) (1.3% vs. 3.1% vs. 6.5% vs. 9.4%, p < 0.001) and extended length of stay (eLOS) (15.4% vs. 22.5% vs. 29.3% vs. 37.4%, p < 0.001). Following multivariable analysis, increasing frailty (aOR 1.40, 95% CI 1.17, 1.68, p < 0.001) and age (aOR 1.20, 95% CI 1.05, 1.38, p = 0.009) were both independently associated with development of life-threatening complications or mortality, whereas increasing frailty (aOR 1.20, 95% CI 1.10, 1.32, p < 0.001), but not age, was associated with eLOS. Frailty (by mFI-11) achieved superior discrimination in comparison to age for both endpoints (AUC 0.69 and 0.61, respectively).

CONCLUSION

Frailty may be more accurate than advanced patient age alone for prognostication of adverse events and outcomes following intracranial meningioma resection.

Combined Assessment of Preoperative Frailty and Sarcopenia Allows the Prediction of Overall Survival in Patients with Lung Cancer (NSCLC) and Surgically Treated Brain Metastasis

Simple Summary

Patients with brain metastasis are at a severe stage of cancer, and brain surgery can prevent neurological morbidity. However, the success of brain surgery might require a patient’s physical integrity prior to the operation. In the present study, we asked whether a preoperative physical decline affects survival in patients with brain metastasis from lung cancer. In order to measure the physical condition, we used a commonly-known index—the so-called frailty index—and additionally measured the thickness of a particular masticatory muscle as muscle loss correlates to physical decline. We found that a decreased muscle thickness was accompanied by worsened survival for patients < 65 years and an increased frailty index correlated to worsened survival for patients ≥ 65 years. These results encourage to use of the frailty index and muscle thickness as easily available parameters in order to more sufficiently estimate individual treatment success in patients with metastatic lung cancer.

Abstract

Neurosurgical resection represents an important therapeutic pillar in patients with brain metastasis (BM). Such extended treatment modalities require preoperative assessment of patients’ physical status to estimate individual treatment success. The aim of the present study was to analyze the predictive value of frailty and sarcopenia as assessment tools for physiological integrity in patients with non-small cell lung cancer (NSCLC) who had undergone surgery for BM. Between 2013 and 2018, 141 patients were surgically treated for BM from NSCLC at the authors’ institution. The preoperative physical condition was assessed by the temporal muscle thickness (TMT) as a surrogate parameter for sarcopenia and the modified frailty index (mFI). For the ≥65 aged group, median overall survival (mOS) significantly differed between patients classified as ‘frail’ (mFI ≥ 0.27) and ‘least and moderately frail’ (mFI < 0.27) (15 months versus 11 months (p = 0.02)). Sarcopenia revealed significant differences in mOS for the <65 aged group (10 versus 18 months for patients with and without sarcopenia (p = 0.036)). The present study confirms a predictive value of preoperative frailty and sarcopenia with respect to OS in patients with NSCLC and surgically treated BM. A combined assessment of mFI and TMT allows the prediction of OS across all age groups.

Year in Review: Synopsis of Selected Articles in Neuroanesthesia and Neurocritical Care from 2020

This review is a synopsis of selected articles from neuroscience, neuroanesthesia, and neurocritical care from the year 2020 (January–December 2020). The journals reviewed include anesthesia journals, critical care medicine journals, neurology and neurosurgical journals, as well as high-impact medical journals such as the Lancet, Journal of American Medical Association, New England Journal of Medicine, and Stroke. This summary of important articles will serve to update the knowledge of anesthesiologists and other perioperative physicians who provide care to neurosurgical and neurocritical care patients. In addition, some of the important narrative reviews that are of interest to neuroanesthesiologists are also listed.