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Background: Few studies have evaluated frailty in the setting of aneurysmal subarachnoid hemorrhage (aSAH) using large-scale data. The risk analysis index (RAI) may be implemented at the bedside or assessed retrospectively, differentiating it from other indices used in administrative registry-based research., Methods: Adult aSAH hospitalizations were identified in the National Inpatient Sample (NIS) from 2015 to 2019. Complex samples statistical methods were performed to evaluate the comparative effect size and discriminative ability of the RAI, the modified frailty index (mFI), and the Hospital Frailty Risk Score (HFRS). Poor functional outcome was determined by the NIS-SAH Outcome Measure (NIS-SOM), shown to have high concordance with modified Rankin Scale scores > 2., Results: 42,300 aSAH hospitalizations were identified in the NIS during the study period. By both ordinal [adjusted odds ratio (aOR) 3.20, 95% confidence interval (CI) 3.05, 3.36, p < 0.001] and categorical stratification [frail aOR 3.59, 95% CI 3.39, 3.80, p < 0.001; severely frail aOR 6.67, 95% CI 5.78, 7.69, p < 0.001], the RAI achieved the largest effect sizes for NIS-SOM in comparison with the mFI and HFRS. Discrimination of the RAI for NIS-SOM in high-grade aSAH was significantly greater than that of the HFRS (c-statistic 0.651 vs. 0.615). The mFI demonstrated the lowest discrimination in both high-grade and normal-grade patients. A combined Hunt and Hess-RAI model (c-statistic 0.837, 95% CI 0.828, 0.845) for NIS-SOM achieved significantly greater discrimination than both the combined models for mFI and HFRS (p < 0.001)., Conclusion: The RAI was robustly associated with poor functional outcomes in aSAH independent of established risk factors., (© 2023. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany.)

Introduction: Acute kidney injury (AKI) is associated with poor outcome in aneurysmal subarachnoid hemorrhage patients (aSAH). Frailty has recently been demonstrated to correlate with elevated mortality and morbidity; its impact on predicting AKI and mortality in aSAH patients has not been investigated., Objective: Evaluating risk factors and predictors for AKI in aSAH patients., Methods: aSAH patients from a single-center's prospectively maintained database were retrospectively evaluated for development of AKI within 14 days of admission. Baseline demographic and clinical characteristics were collected. The effect of frailty and other risk factors were evaluated., Results: Of 213 aSAH patients, 53 (33.1%) were frail and 12 (5.6%) developed AKI. Admission serum creatinine (sCr) and peak sCr within 48 h were higher in frail patients. AKI patients showed a trend towards higher frailty. Mortality was significantly higher in AKI than non-AKI aSAH patients. Frailty was a poor predictor of AKI when controlling for Hunt and Hess (HH) grade or age. HH grade ≥ 4 strongly predicted AKI when controlling for frailty., Conclusion: AKI in aSAH patients carries a poor prognosis. The HH grade appears to have superior utility as a predictor of AKI in aSAH patients than mFI.

Objectives: Aneurysmal subarachnoid hemorrhage (aSAH) is an emergent neurosurgical condition associated with high morbidity and mortality. The prognostic significance of baseline frailty status in aSAH patients has not been previously evaluated in a large, nationally representative sample., Materials and Methods: Clinical outcomes data from the National Inpatient Sample from 2010-2018 were compared among sub-cohorts stratifying admissions by increasing frailty thresholds [(assessed using the 11-point modified frailty index (mFI-11)]. The previously validated NIS-SAH Severity Score (NIS-SSS) and NIS-SAH Outcome Measure (NIS-SOM) were utilized. Complex samples multivariable logistic regression and receiver operating characteristic (ROC) curve analyses were performed to assess adjusted associations and discrimination of frailty for endpoints., Results: Among 64,102 aSAH hospitalizations (mean age 55.4 years), 20.4% of admissions were classified as robust (mFI=0), 43.4% as pre-frail (mFI = 1), 24.9% as frail (mFI = 2), and 11.2% as severely frail (mFI ≥ 3). Following multivariable analysis adjusting for age and aSAH severity, increasing frailty was independently associated with NIS-SOM (OR = 1.15, 95% CI 1.09-1.21; p < 0.001), extended length of hospital stay (eLOS) (OR = 1.08, 1.02-1.13; p = 0.008), neurological complications (OR = 1.08, 1.03-1.13; p < 0.001), and medical complications (OR = 1.14, 1.08-1.21; p < 0.001). Based on ROC curve analysis, frailty achieved an AUC of 0.59 (0.58-0.60) and 0.54 (0.53-0.55) for NIS-SOM and eLOS, respectively. Age and NIS-SSS demonstrated significantly greater discrimination for NIS-SOM [AUC 0.69 (0.68-0.70) and 0.79 (0.78-0.80), respectively), while NIS-SSS achieved significantly greater discrimination for eLOS [(AUC 0.74 (0.73-0.75)] in comparison to both age and frailty., Conclusions: This national database evaluation of frailty in aSAH patients demonstrates an independent association between increasing frailty and poor functional outcome. Age and aSAH severity, however, may be more robust prognostic factors., (Copyright © 2022 Elsevier Inc. All rights reserved.)

Background and Purpose: While patients with angiogram-negative subarachnoid hemorrhages (ANSAH) have better prognoses than those with aneurysmal SAH, frailty's impact on outcomes in ANSAH is unclear. We previously showed that the modified frailty index (mFI-11) is associated with poor outcomes following ANSAH. Here, we compared the mFI-5, mFI-11, Charlson Comorbidity Index (CCI), and temporalis thickness (TMT) to determine which index was the best predictor of ANSAH outcomes and mortality rates., Methods: In this retrospective cohort analysis between 2014 and 2018, patients with non-traumatic, angiogram negative SAH (ANSAH) were identified. The admission mFI-5, mFI-11, CCI, and TMT were calculated for each patient. Primary outcomes were mortality rate, discharge location, and prolonged length of stay (PLOS; LOS >85 th percentile). Multivariate logistic regression and receiver operating characteristic (ROC) curves were used to evaluate frailty as predictors of primary endpoints., Results: We included 75 patients with a mean age of 55.4 ± 1.5 years. There were 4 patient deaths (5.3%), 53 patients (70.7%) discharged home, and 11 patients (14.7%) with PLOS. On ROC analysis, the mFI-5 had the highest discriminatory value for mortality (AUC   =   0.97) while the mFI-11 was most discriminatory for discharge home (AUC   =   0.85) and PLOS (AUC   =   0.78). On multivariate analysis, the only independent predictor of mortality was the mFI-11 (OR   =   0.46; 95%CI: 1.45-14.23; p   =   0.009) while the mFI-5 was the best predictor of discharge home (OR   =   0.21; 95% CI: 0.08-0.61; p   =   0.004). On multivariate analysis, the only independent predictor of PLOS was the Hunt and Hess score (OR   =   2.63; 95%CI: 1.38-5.00; p   =   0.003). The CCI and TMT were inferior to either mFI for predicting primary endpoints., Conclusions: Increasing frailty is associated with poorer outcomes and higher mortality following ANSAH. The mFI-5 and mFI-11 were found to be superior predictors of discharge home and mortality rate. While larger prospective study is needed, frailty, as measured by mFI-11 and -5, should be considered when evaluating ANSAH prognosis.

Objective: Understand the frailty of vestibular schwannoma surgical patients and how frailty impacts clinical course., Study Design: Retrospective Cohort., Setting: Single-tertiary academic hospital., Patients: All patients undergoing vestibular schwannoma surgery., Intervention: The modified frailty index (mFI) was calculated for all patients undergoing surgery for vestibular schwannoma between 2011 and 2018. Patient demographics and medical history, perioperative course, and postoperative complications were obtained from the medical record., Main Outcome Measures: The primary endpoint was hospital length of stay (LOS). Secondary endpoint was postoperative complications. Basic statistical analysis was performed including multivariate linear regressions to determine independent predictors of LOS., Results: There were 218 patients included and the mean age was 48.1 ± 0.9 (range 12-77). One-hundred ten patients were male (50.5%). The mean ICU LOS was 1.6 ± 0.1 days while mean total hospital LOS was 4.3 ± 0.2. There were 145 patients (66.5%) who were robust (nonfrail) with an mFI of 0, while 73 (33.5%) had an mFI of ≥1. Frailty (mFI≥2) was associated with longer hospital LOS compared with the prefrail (p = 0.0014) and robust (p = 0.0004) groups, but was not associated with increased complications (OR = 1.3; 95% CI: 0.5-3.7; p = 0.5925) or ICU LOS (p > 0.05). In multivariate analysis, increased mFI, and NOT increased age, was an independent risk factor for increased hospital LOS (p = 0.027)., Conclusion: Increasing frailty, and not increasing age, is an independent risk factor for longer hospital LOS, but not for increased postoperative complications. Patients' frailty status may be useful preoperatively in counselling patients about postoperative expectations and frail vestibular schwannoma patients may require increased health spending costs given their increased hospital LOS.

Background: Frailty is associated with worse outcomes across a variety of neurosurgical diseases. However, its effect on acute subdural hemorrhage (aSDH) outcomes is unclear. The goal of this study is to compare 3 measures of frailty with the gold standard (i.e., initial Glasgow Coma Scale [iGCS] score) for predicting outcomes after aSDH., Methods: Patients who presented between January 2016 and June 2018 were retrospectively identified based on International Classification of Diseases codes for aSDH. Patients' modified Frailty Index (mFI), temporalis muscle thickness (TMT), and age-adjusted Charlson Comorbidity Index (CCI) were calculated. Primary end points were death and discharge home., Results: Of 167 patients included, the mean age was 63.4 ± 1.9 years, the average CCI was 3.4 ± 0.2, mFI was 1.4 ± 0.1, TMT was 7.1 ± 0.2 mm, and iGCS score was 11.9 ± 0.3. Sixty-nine patients (41.3%) were discharged home and 32 (19.2%) died during hospitalization. In multivariate analysis, decreasing iGCS score (odds ratio [OR], 0.84; 95% confidence interval [CI], 0.74-0.96; P = 0.0112) and midline shift (OR, 1.27; 95% CI, 1.08-1.50; P = 0.0048), but not age or frailty, predicted mortality. In addition to iGCS score (OR, 1.26; 95% CI, 1.10-1.44; P = 0.0011), lower CCI (OR, 0.32; 95% CI, 0.14-0.74; P = 0.0071) and larger TMT (OR, 2.63; 95% CI, 1.16-5.99; P = 0.0210) independently predicted increased rates of discharge home. mFI was not independently associated with either primary end point in multivariate analysis., Conclusions: iGCS score predicts both mortality and discharge location after aSDH better than do age or frailty. However, CCI and TMT, but not mFI, are useful prognostic indicators of discharge to home after aSDH. The iGCS score should continue to be the primary prediction tool for patients with aSDH; however, frailty may be useful for resource allocation, especially when nearing discharge., (Copyright © 2020 Elsevier Inc. All rights reserved.)

Objective: Increasing age has been associated with worse outcomes following aneurysmal subarachnoid hemorrhage (aSAH), yet frailty's effect on aSAH outcomes has never been studied. The most common frailty measurement tool is the modified frailty index (mFI). The goal of this study is to compare the effect of frailty versus age as predictors of aSAH outcomes and mortality., Patients and Methods: Our institutional aSAH series were retrospectively identified and divided into non-frail (mFI = 0-1) and frail (mFI≥2) cohorts based on admission mFI scores. Primary outcomes were mortality and discharge location. Univariate and multivariate analysis were performed., Results: There were 217 aSAH patients identified and 57 were frail (26.3%). Forty-one (18.9%) patients died and 74 (34%) were discharged home. Frail patients were significantly older (p < 0.0001) and had higher Hunt & Hess (HH) (p = 0.005) and Fisher (p = 0.0255) scores. Frail patients were less likely to receive an intervention (OR = 0.3; 95%CI:0.1-0.6); p = 0.0056), be discharged home (OR = 0.32; 95%CI:0.16-0.68; P = 0.0020), and were more likely to expire (OR = 2.4; 95%CI:1.2-5; P = 0.0183) and develop a complication (OR = 2.6; 95%CI:1.1-6.6; P = 0.0277). Multivariate regressions showed that the HH score (OR = 2.7; 95%CI: 1.9-3.0; P < 0.0001) followed by age≥65 (OR = 2.7; 95%CI:1.2-6.0; p = 0.012) were the only independent predictors of mortality. Likewise, discharge home was best predicted by HH score (OR = 0.24; 95%CI:0.15-0.37; p < 0.0001) and age (OR = 0.25; 95%CI:0.1-0.6; p = 0.003)., Conclusion: Frailty is associated with worse aSAH grades, more complications, and increased mortality, however, increasing age and HH scores were the only independent predictors of aSAH outcomes. This study suggests that HH score and increasing patient age, and not the accumulated co-morbidities at the time of aSAH, better predict outcomes., (Copyright © 2019 Elsevier B.V. All rights reserved.)