Frailty as a Predictor of Postoperative Complications Following Skull Base Surgery

A population based survival analysis of skull base and sacral-coccygeal chordomas in an elderly population: 2000-2021

Chordoma is an aggressive primary osseous tumor that most often arises from the sacral-coccygeal region and the skull base. Treatment typically requires en bloc gross total resection necessitating significant iatrogenic tissue disruption and physiological stress making management in a vulnerable elderly cohort challenging. The Surveillance, Epidemiology, and End Results (SEER) database was employed to isolate cases of chordoma in patients 65+ years of age between the years 2000-2021. Kaplan Meier survival analyses were used to identify survival trends. Multivariate cox regression analysis controlled for confounding variables. A subgroup analysis comparing geriatric survival to an adult cohort was performed. A total of 380 cases (128 skull base, 252 sacral-coccygeal) were included. Surgery not performed improved cumulative tumor-specific survival in both univariate and multivariate analyses (HR = 0.49, 95 % CI [0.27-0.88], p = 0.016), but surgery did not impact cumulative all-cause survival nor primary site-specific all-cause survival. Geriatric survival (89.2 ± 4.6 months) was significantly shorter than adult survival (187.6 ± 4.9 months) in subgroup analysis (p < 0.001). Year of diagnosis did not significantly impact survival. Minimal improvements in geriatric chordoma survival have been made over the last two decades. Worsened tumor-specific survival with surgery likely results from the need for resection of advanced disease that inherently carries high risk within this population and surgery being deferred in the event of less advanced disease. Further study is needed to improve medical and surgical therapies within this cohort to improve survival.

Frailty adversely affects outcome following free-flap reconstruction in patients with head and neck cancer

INTRODUCTION

Frailty is a multisystem aging-associated syndrome characterised by physiological decline and increased vulnerability to stressors. There will be a need for elderly, and possibly frail patients, to undergo complex and lengthy free-flap reconstruction for large head-and-neck defects. The purpose of this study was to evaluate the impact that frailty has on post-operative complications, functional outcomes, and overall survival in this cohort.

METHODS

A retrospective case-control study of patients undergoing free-flap reconstruction of head-and-neck defects was carried out between 2021-2023. 159 cases were included. Demographic data were collected for each patient, and comorbidities were recorded, including variables contributing to the 5 mFI frailty index. Disease and treatment characteristics were recorded, along with post-operative complications, return to theatre or intensive care unit (ICU), return to eating, and overall survival.

RESULTS

The mean age of the cohort was 62.11. Patients were characterised as frail in 25.2% of cases. There was a statistically significant increase in respiratory complications (p=0.038), delirium (p<0.001), return to theatre (p=0.010), return to ICU (p<0.001), and delayed return to eating (p=0.028) in the frail cohort. Multivariate analysis demonstrated an increase in post-operative complications in frail patients, in larynx/hypopharynx malignancies, and in patients with a tracheostomy (p=0.005, 0.039, and 0.043 respectively). Overall survival was negatively influenced by age >65 years (p=0.014) and male sex (p=0.042) on multivariate analysis.

CONCLUSIONS

Data from this study demonstrated a higher risk of post-operative complications and return to theatre or ICU in patients undergoing free-flap reconstruction of complex head-and-neck defects with higher frailty scores, but were not associated with differences in overall survival.

Risk Analysis Index Frailty Score as a Predictor of Otolaryngology Surgical Outcomes

OBJECTIVE

The Risk Analysis Index (RAI) score is a screening tool to assess patient frailty. It has been shown to be predictive of postoperative outcomes and mortality in orthopedic, urologic, and neurosurgical patient populations. We sought to evaluate the predictive ability of RAI score for surgical outcomes in an otolaryngology patient population.

STUDY DESIGN

Retrospective study.

SETTING

Academic tertiary medical center.

METHODS

A retrospective study was conducted of adult patients undergoing otolaryngology surgery at a tertiary medical care center over 21 months. Patients were sent electronic RAI survey questionnaires via direct messaging, which was completed prior to surgery. Endpoint data were analyzed, including demographics, RAI score, and patient outcome data. Univariate analysis, ROC curves, and predictive modeling were utilized.

RESULTS

A total of 517 patients responded to the RAI questionnaire, resulting in a 59.6% response rate. Mean RAI score was 21.38 ± 11.83. Higher RAI scores were associated with increased 30-day readmissions (P < .0015), postoperative complications (P < .001), hospital length of stay (P < .001), and discharge with home health (P < .001). Predictive models for RAI score and postoperative outcomes were created, and a cutoff score of RAI = 30 was established to identify frail patients.

CONCLUSION

We evaluated if RAI scoring predicted postoperative complications in an otolaryngology patient population. Increased RAI score is significantly associated with poorer surgical outcomes, including increased hospital length of stay, 30-day readmissions, and postoperative complications. We propose a predictive model with suggested RAI cutoff scoring for use in the otolaryngology surgical population.

Using Existing Clinical Data to Measure Older Adult Inpatients' Frailty at Admission and Discharge: Hospital Patient Register Study

BACKGROUND

Frailty is a widespread geriatric syndrome among older adults, including hospitalized older inpatients. Some countries use electronic frailty measurement tools to identify frailty at the primary care level, but this method has rarely been investigated during hospitalization in acute care hospitals. An electronic frailty measurement instrument based on population-based hospital electronic health records could effectively detect frailty, frailty-related problems, and complications as well be a clinical alert. Identifying frailty among older adults using existing patient health data would greatly aid the management and support of frailty identification and could provide a valuable public health instrument without additional costs.

OBJECTIVE

We aim to explore a data-driven frailty measurement instrument for older adult inpatients using data routinely collected at hospital admission and discharge.

METHODS

A retrospective electronic patient register study included inpatients aged ≥65 years admitted to and discharged from a public hospital between 2015 and 2017. A dataset of 53,690 hospitalizations was used to customize this data-driven frailty measurement instrument inspired by the Edmonton Frailty Scale developed by Rolfson et al. A 2-step hierarchical cluster procedure was applied to compute e-Frail-CH (Switzerland) scores at hospital admission and discharge. Prevalence, central tendency, comparative, and validation statistics were computed.

RESULTS

Mean patient age at admission was 78.4 (SD 7.9) years, with more women admitted (28,018/53,690, 52.18%) than men (25,672/53,690, 47.81%). Our 2-step hierarchical clustering approach computed 46,743 inputs of hospital admissions and 47,361 for discharges. Clustering solutions scored from 0.5 to 0.8 on a scale from 0 to 1. Patients considered frail comprised 42.02% (n=19,643) of admissions and 48.23% (n=22,845) of discharges. Within e-Frail-CH's 0-12 range, a score ≥6 indicated frailty. We found a statistically significant mean e-Frail-CH score change between hospital admission (5.3, SD 2.6) and discharge (5.75, SD 2.7; P<.001). Sensitivity and specificity cut point values were 0.82 and 0.88, respectively. The area under the receiver operating characteristic curve was 0.85. Comparing the e-Frail-CH instrument to the existing Functional Independence Measure (FIM) instrument, FIM scores indicating severe dependence equated to e-Frail-CH scores of ≥9, with a sensitivity and specificity of 0.97 and 0.88, respectively. The area under the receiver operating characteristic curve was 0.92. There was a strong negative association between e-Frail-CH scores at hospital discharge and FIM scores (rs=-0.844; P<.001).

CONCLUSIONS

An electronic frailty measurement instrument was constructed and validated using patient data routinely collected during hospitalization, especially at admission and discharge. The mean e-Frail-CH score was higher at discharge than at admission. The routine calculation of e-Frail-CH scores during hospitalization could provide very useful clinical alerts on the health trajectories of older adults and help select interventions for preventing or mitigating frailty.

Modified Frailty Index Associates With Transoral Robotic Surgery Complications and Survival: A National Database Study

OBJECTIVE

The modified frailty index (mFI-5) is a National Surgical Quality Improvement Program-derived 5-factor index that has been proven to reflect frailty and predict morbidity and mortality. We hypothesize that mFI-5 is a valid predictive measure in the transoral robotic surgery (TORS) population.

METHODS

Retrospective study utilizing the TriNetX US-collaborative health records network querying for TORS patients. Cohorts were stratified by mFI-5 score which uses five ICD-10 codes: nonindependent functional status, hypertension, obstructive respiratory disease, heart failure, and diabetes mellitus. Cohorts were matched by age using propensity score matching. Outcome measures included survival, infection, pneumonia, tracheostomy dependence, and percutaneous endoscopic gastrostomy dependence. Reported odds ratios were normalized to mFI-5 = 0.

RESULTS

A total of 9,081 patients were included in the final analysis. Greater mFI-5 scores predicted decreased survival and increased incidence of postoperative infection and pneumonia. Odds of 5-year mortality were 1.93 (p = 0.0003) for mFI-5 = 2 and 1.90 (p = 0.0002) for mFI-5 = 3. Odds of 2-year mortality were 1.25 (p = 0.0125) for mFI-5 = 1, 1.58 (p = 0.0002) for mFI-5 = 2, and 1.87 (p = 0.003) for mFI-5 = 3. Odds of postoperative infection were 1.51 (p = 0.02) for mFI-5 = 2 and 1.78 (p = 0.05) for mFI-5 = 3. Two-year odds of developing pneumonia were 1.69 (p = 0.0001) for mFI-5 = 2 and 2.84 (p < 0.0001) for mFI-5 = 3. Two-month odds of pneumonia were 1.50 (p = 0.0259) for mFI-5 = 2 and 2.55 (p = 0.0037) for mFI-5 = 3. mFI-5 = 4 or 5 had too few patients to analyze. Using polynomial regression to model age versus incident 5-year post-TORS death (R2 = 0.99), mFI-5 scores better predicted survival than age alone.

CONCLUSION

This study demonstrates that mFI-5 predicts mortality, pneumonia, and postoperative infection independently of age.

LEVEL OF EVIDENCE

4 Laryngoscope, 134:4278-4283, 2024.

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.

Frailty is a Risk Factor for Postoperative Complications in Older Adults with Lumbar Degenerative Disease: A Prospective Cohort Study

Objective

Frailty, representing the physiological reserve and tolerance of the body, serves as a crucial evaluation index of the overall status of the older adults. This study aimed to investigate the prevalence of preoperative frailty and its impact on postoperative outcomes among older adults with lumbar degenerative disease in China.

Patients and Methods

In this prospective study, a total of 280 patients aged 60 and above, diagnosed with lumbar degenerative disease and scheduled for surgical intervention were enrolled. The prevalence of frailty pre-surgery was evaluated using the Tilburg Frailty Indicator (TFI) and the modified Frailty Index 11 (mFI-11). The primary outcome was postoperative complication within 30 days post-surgery. The secondary outcomes were the length of hospital stay, hospital costs, reoperation within 30 days post-surgery and unplanned readmission within 30 days post-discharge. Both univariable and multivariable logistic regression were employed to screen and identify the risk factors predisposing patients to postoperative complications.

Results

A total of 272 older adults were included in the study ultimately. The frailty detection rates of TFI and mFI-11 were 15.8% (43/272) and 10.7% (29/272) respectively. Thirty-four patients (12.5%) encountered complications. Significantly elevated rates of complications, prolonged hospital stays, increased hospital costs, and heightened readmission rates were observed in the frail group compared to the non-frail group (P<0.05). Univariable analysis showed that the potential factors related to complications are TFI, mFI-11 and albumin. Multivariable logistic regression revealed that TFI was an independent risk factor for postoperative complications (OR=5.371, 95% CI: 2.338-12.341, P < 0.001).

Conclusion

Frailty was an independent predictor of postoperative complications in older adults undergoing lumbar fusion surgery. Frailty assessment should be performed in such patients to improve preoperative risk stratification and optimize perioperative management strategies.

Utility of hospital frailty risk score in predicting postoperative outcomes of sinonasal malignancies

KEY POINTS

Hospital frailty risk score (HFRS) correlates with complications, length of stay, and non-routine discharge. HFRS is a better predictor of postsurgical sequelae than age and Elixhauser comorbidity index.

Meta-lasso: new insight on infection prediction after minimally invasive surgery

Surgical site infection (SSI) after minimally invasive lung cancer surgery constitutes an important factor influencing the direct and indirect economic implications, patient prognosis, and the 5-year survival rate for early-stage lung cancer patients. In the realm of predictive healthcare, machine learning algorithms have been instrumental in anticipating various surgical outcomes, including SSI. However, accurately predicting infection after minimally invasive surgery remains a clinical challenge due to the multitude of physiological and surgical factors associated with it. Furthermore, clinical patient data, in addition to being high-dimensional, often exists the long-tail problem, posing difficulties for traditional machine learning algorithms in effectively processing such data. Based on this insight, we propose a novel approach called meta-lasso for infection prediction following minimally invasive surgery. Our approach leverages the sparse learning algorithm lasso regression to select informative features and introduces a meta-learning framework to mitigate bias towards the dominant class. We conducted a retrospective cohort study on patients who had undergone minimally invasive surgery for lung cancer at Shanghai Chest Hospital between 2018 and 2020. The evaluation encompassed key performance metrics, including sensitivity, specificity, precision (PPV), negative predictive value (NPV), and accuracy. Our approach has surpassed the performance of logistic regression, random forest, Naive Bayes classifier, gradient boosting decision tree, ANN, and lasso regression, with sensitivity at 0.798, specificity at 0.779, precision at 0.789, NPV at 0.798, and accuracy at 0.788 and has greatly improved the classification performance of the inferior class.

Association Between Modified Frailty Index and Postoperative Outcomes of Tracheostomies

OBJECTIVE

The 5-item modified frailty index (mFI-5) has been used to stratify patients based on the risk of postoperative complications in several surgical procedures but has not yet been done in tracheostomies. This study investigates the association between the mFI-5 score and tracheostomy complications.

STUDY DESIGN

Retrospective database review.

SETTING

United States hospitals.

METHODS

The National Surgical Quality Improvement Program database was queried for tracheostomy patients between 2005 and 2018. The mFI-5 was calculated for each patient by assigning 1 point for each of the following comorbidities: diabetes mellitus, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and functionally dependent health status. Univariate and multivariable analyses were conducted to determine associations between the mFI-5 score and postoperative complications.

RESULTS

A total of 4438 patients undergoing tracheostomies were queried and stratified into the following groups: mFI = 0 (N = 1741 [39.2%], mFI = 1 (N = 1720 [38.8%]), mFI = 2 (N = 726 [16.4%]), and mFI of 3 or higher (N = 251 [5.7%]). Univariate analysis showed that patients with higher mFI-5 scores had a greater proportion of smoking, dyspnea, obesity, steroid use, emergency cases, complications, reoperations, and mortality (P < .001). Multivariable analyses found associations between mFI-5 score and any complication (odds ratio [OR]: 1.49, 95% confidence interval [CI]: 1.03-2.16, P = .035), mortality (OR: 2.32, 95% CI: 1.15-4.68, P = .019), and any medical complication (OR: 2.75, 95% CI: 1.88-4.02, P < .001).

CONCLUSION

This study suggests an association between the mFI-5 score and postoperative complications in tracheostomies. mFI-5 score can be used to stratify tracheostomy patients by operative risk.

Anterior Skull Base Outcomes and Complications: A Propensity Score–Matched Evaluation of Age and Frailty as Measured by mFI-5 from the ACS-NSQIP Database

Background Frailty is increasingly recognized as a predictor of surgical outcomes; however, its utility in anterior cranial fossa (ACF) surgery remains unclear. We analyzed whether age and frailty are independent predictors of outcomes after ACF surgery using a retrospective cohort study.

Methods The American College of Surgeons National Surgical Quality Improvement Program database was queried, by Current Procedural Terminology codes, for ACF procedures in 2005 to 2020. Cases included open approaches, endoscopic approaches, and all tumor types except for pituitary adenoma. A propensity score–matched data set was analyzed via multiple logistic regression.

Results Unmatched multivariate analysis of ACF cases demonstrated that severe frailty (modified 5-item frailty index [mFI-5] ≥ 3) was independently associated with having any (odds ratio [OR] = 3.67) and minor (OR = 5.00) complications (both p < 0.001). Analysis of individual mFI-5 components demonstrated poor functional status was significantly associated with any (OR = 3.39), major (OR = 3.59), and minor (OR = 3.14) complications (all p < 0.001). After propensity score matching, only age was modestly impactful on minor complications (OR = 1.02) and extended length of stay (eLOS) (OR = 1.02) (p < 0.001). Frailty did not maintain its predictive ability after matching. Nonindependent functional status, as a subcomponent of mFI maintained significant predictive ability for any (OR = 4.94), major (OR = 4.68), and minor (OR = 4.80) complications and eLOS (OR = 2.92) (all p < 0.001).

Conclusion After propensity score matching, age demonstrated a greater ability to predict postoperative complications in ACF surgery than frailty. Rather than age or frailty, functional status served as a better outcome predictor and potential guide for patient counseling. Further validation of these findings in multicenter or disease-specific studies is warranted as well as aims to preoperatively improve functional status in ACF surgery.

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.

Comparison of Perioperative and Long-term Outcomes Following PEEK and Autologous Cranioplasty: A Single Institution Experience and Review of the Literature

OBJECTIVE

Three-dimensionally (3D) printed polyether-ether-ketone (PEEK) implants are a relatively novel option for cranioplasty that have recently gained popularity. However, there is ongoing debate with respect to material efficacy and safety compared to autologous bone grafts. The purpose of this study was to offer our institution's experience and add to the growing body of literature.

METHODS

A single-institution retrospective analysis of patients undergoing cranioplasties between 2016 and 2021. Patients were divided into PEEK and autologous cranioplasty cohorts. Parameters of interest included patient demographics as well as perioperative (<3 months postoperative) and long-term outcomes (>3 months postoperative). A P value < 0.05 was considered statistically significant.

RESULTS

A total of 31 patients met inclusion criteria (PEEK: 15, Autologous: 16). Mean age of total cohort was 48.9 years (range 19-82 years). Modified Frailty Index (mFI) revealed greater rate of comorbidities among the Autologous group (P = 0.073), which was accounted for in statistical analyses. Multiple logistic regression model revealed significantly higher rate of surgical site infection in the Autologous cohort (31.3% vs. 0%, P = 0.011). Minor complications were similar between groups, while the Autologous group experienced significantly more major postoperative complications (50%) versus PEEK (13.3%) (P = 0.0291). Otherwise perioperative and long term complication profiles were similar between groups. Additionally, generalized linear model demonstrated both cohorts had similar mean hospital length of stay (LoS) (Autologous: 16.1 vs. PEEK: 10.7 days).

CONCLUSIONS

PEEK cranioplasty implants may offer more favorable perioperative complication profiles with similar long-term complication rates and hospital LoS compared to autologous bone implants. Future studies are warranted to confirm our findings in larger series, and further examine the utility of PEEK in cranioplasty.

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.

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.

Baseline frailty status, not advanced patient age, predicts epilepsy surgery outcomes: An analysis of 696 patients from the NSQIP database

OBJECTIVE

Preoperative risk stratification of patients undergoing epilepsy surgery remains challenging. Recently, the efforts to look beyond age alone as an outcomes predictor has resulted in the development of measures of physiological reserve, or 'frailty indices.' The most frequently cited index in neurosurgery is the 11-item or 5-item modified frailty index (mFI11 or mFI-5). The present study aimed to use a large national registry to evaluate the effect of frailty (as measured by mFI-5 versus age on postoperative outcomes of patients undergoing epilepsy surgery.

METHODS

The National Surgical Quality Improvement Program (NSQIP) database, overseen by the American College of Surgeons (ACS), was used to extract data for patients undergoing epilepsy surgery from 2015 to 2019. Univariate and multivariate analyses for age and mFI-5 were performed for the following 30-day outcomes of extended length of hospital stay (eLOS) and non-home discharge (NHD). The effect sizes were summarized by odds ratio and associated 95 % confidence intervals. Receiver operating characteristic (ROC) curve analysis, including area under the curve (AUC), was used to quantify the discrimination.

RESULTS

Univariate and multivariate analyses demonstrated that frailty statuses from mFI-5, not age, were significantly predictive of eLOS and NHD. On ROC curve analysis, mFI-5 was a stronger predictor of eLOS (C = 0.59, 95 % CI 0.54-0.64, p < 0.001) and NHD (C = 0.69, 95 % CI 0.64-0.76, p < 0.001) than age (C = 0.53, 95 % CI 0.48-0.58, p = 0.21 and C = 0.53, 95 % CI 0.46-0.59, p = 0.44, respectively).

CONCLUSION

Frailty, not age, is an independent risk factor for poor postoperative outcomes, particularly eLOS and NHD, in patients undergoing epilepsy surgery. Usage of mFI-5 for preoperative risk stratification of epilepsy surgery patients can help in prognostication.

Otolaryngology Considerations of Pituitary Surgery: What an Endocrinologist Should Know

Endoscopic endonasal skull base surgery is the preferred surgical approach for the management of pituitary adenomas. Perioperative management of pituitary lesions requires multidisciplinary care and typically includes a dual surgeon team consisting of a neurosurgeon and an otolaryngologist. The involvement of the otolaryngologist allows for a safe surgical approach with excellent intraoperative visualization of the tumor to enable an effective resection of the tumor by the neurosurgeon. Detection and treatment of sinonasal pathology is essential prior to surgery. Patients may experience sinonasal complaints following endoscopic transsphenoidal surgery, although this is typically temporary. Sinonasal care in the postoperative period can expedite recovery to baseline. Here we discuss the perioperative factors of endoscopic pituitary surgery that endocrinologists should be aware of, ranging from preoperative patient selection and optimization to postoperative care, with a particular emphasis on anatomic and surgical factors.

The Predictive Value of a Modified Frailty Index on Perioperative Morbidity and Mortality Following Otologic Surgery

Objectives

Recently, determinants of frailty have become an increasingly recognized perioperative risk stratification tool. This study examines the predictive value of a 5-factor modified frailty index (mFI-5) on perioperative morbidity and mortality in patients undergoing otologic surgery, with a subgroup analysis based on surgery site.

Study Design

Cross-sectional analysis.

Setting

National surgical quality improvement program dataset 2005-2019.

Patients

Current procedural terminology (CPT) codes were used to identify patients undergoing all otologic surgeries.

Interventions

Otologic surgeries as indicated by CPT codes, including external ear, middle ear/mastoid, implants, and inner ear/facial nerve subgroups.

Main Outcome Measures

Primary outcomes examined in this study included rates of overall complications and life-threatening complications within 30 days after surgery. Overall complications included superficial surgical site infections (SSI), deep incisional SSI, readmission, deep vein thrombosis, life-threatening complications, and mortality. Life-threatening complications included those classified as Clavien-Dindo grade IV: cerebrovascular accident, mechanical ventilation for more than 48 hours, reintubation, pulmonary embolism, acute renal failure, cardiac arrest, and myocardial infarction.

Results

A total of 16,859 patients who underwent otologic surgery were identified, resulting in a cohort that was 47.5% male with an average age of 47.6 years (17.1 SD). Multivariable regression analysis of the entire cohort demonstrated a score of 3 or more on the mFI-5 was independently predictive of all postoperative complications (odds ratio (OR): 2.02, P < 0.0001). However, subgroup analysis showed that only "external ear" surgery correlated with mFi-5 (OR 8.03, P = 0.013).

Conclusions

Higher frailty scores as measured by the mFI-5 correlate with postoperative morbidity and mortality after otologic surgery, though subgroup analysis reveals an association only with cases performed on the external ear. These findings suggest that for most otologic surgery, the mFI-5 frailty score is not predictive of postoperative complications.

Frailty in middle cranial fossa approach for encephalocele or cerebrospinal fluid leak repair

Objective

The modified 5-item frailty index (mFI-5) is a concise, comorbidity-based risk stratification tool that can predict adverse outcomes after surgery. The goal of this study was to understand the frailty of patients undergoing surgery for temporal encephalocele or cerebrospinal fluid (CSF) leak and the utility of mFI-5 for predicting increased post-operative outcomes.

Methods

A retrospective review of adults with temporal encephalocele or CSF leak who underwent middle cranial fossa (MCF) approach craniotomies with or without mastoidectomy from January 2015 through August 2021 at a tertiary care academic medical center was performed. Patients who underwent additional surgeries or extended surgical approaches were excluded. The mFI-5 was calculated for all patients. Demographic and clinical data were obtained from the medical record.

Results

Thirty-six patients underwent 40 MCF approach craniotomies for temporal encephalocele or CSF leak, including three revision cases and one patient with sequential bilateral operations. Mean age was 54.1 ± 10.8 years, and 66.7% were female. In the univariable regression analysis, mFI-5 score, age, and procedure time use were significantly associated with increased hospital length of stay (LOS) but not increased intensive care unit (ICU) LOS. Anesthesia time and lumbar drain were significantly associated with increased hospital LOS and ICU LOS, and they remained significantly associated with increased hospital LOS in the multivariable model.

Conclusion

Frailty is associated with increased hospital LOS stay among patients undergoing MCF approach for CSF leak or encephalocele. Reducing anesthesia time and avoiding lumbar drain use are potentially modifiable risk factors that can reduce the LOS and associated costs.

Level of Evidence

4.

Preoperative risk model for perioperative stroke after intracranial tumor resection: ACS NSQIP analysis of 30,951 cases

OBJECTIVE

Perioperative and/or postoperative cerebrovascular accidents (PCVAs) after intracranial tumor resection (ITR) are serious complications with devastating effects on quality of life and survival. Here, the authors retrospectively analyzed a prospectively maintained, multicenter surgical registry to design a risk model for PCVA after ITR to support efforts in neurosurgical personalized medicine to risk stratify patients and potentially mitigate poor outcomes.

METHODS

The National Surgical Quality Improvement Program database was queried for ITR cases (2015-2019, n = 30,951). Patients with and without PCVAs were compared on baseline demographics, preoperative clinical characteristics, and outcomes. Frailty (physiological reserve for surgery) was measured by the Revised Risk Analysis Index (RAI-rev). Logistic regression analysis was performed to identify independent associations between preoperative covariates and PCVA occurrence. The ITR-PCVA risk model was generated based on logit effect sizes and assessed in area under the receiver operating characteristic curve (AUROC) analysis.

RESULTS

The rate of PCVA was 1.7% (n = 532). Patients with PCVAs, on average, were older and frailer, and had increased rates of nonelective surgery, interhospital transfer status, diabetes, hypertension, unintentional weight loss, and elevated BUN. PCVA was associated with higher rates of postoperative reintubation, infection, thromboembolic events, prolonged length of stay, readmission, reoperation, nonhome discharge destination, and 30-day mortality (all p < 0.001). In multivariable analysis, predictors of PCVAs included RAI "frail" category (OR 1.7, 95% CI 1.2-2.4; p = 0.006), Black (vs White) race (OR 1.5, 95% CI 1.1-2.1; p = 0.009), nonelective surgery (OR 1.4, 95% CI 1.1-1.7; p = 0.003), diabetes mellitus (OR 1.5, 95% CI 1.1-1.9; p = 0.002), hypertension (OR 1.4, 95% CI 1.1-1.7; p = 0.006), and preoperative elevated blood urea nitrogen (OR 1.4, 95% CI 1.1-1.8; p = 0.014). The ITR-PCVA predictive model was proposed from the resultant multivariable analysis and performed with a modest C-statistic in AUROC analysis of 0.64 (95% CI 0.61-0.66). Multicollinearity diagnostics did not detect any correlation between RAI-rev parameters and other covariates (variance inflation factor = 1).

CONCLUSIONS

The current study proposes a novel preoperative risk model for PCVA in patients undergoing ITR. Patients with poor physiological reserve (measured by frailty), multiple comorbidities, abnormal preoperative laboratory values, and those admitted under high acuity were at highest risk. The ITR-PCVA risk model may support patient-centered counseling striving to respect goals of care and maximize quality of life. Future prospective studies are warranted to validate the ITR-PCVA risk model and evaluate its utility as a bedside clinical tool.

The Impact of Frailty Syndrome on Endogenous Endophthalmitis Development and Outcomes: A Population-Level Analysis

PURPOSE

Characterize the impact of frailty on endogenous endophthalmitis (EE) development and clinical outcomes among septicemic patients.

DESIGN

Population-level, retrospective cohort study.

PARTICIPANTS

Adult inpatients within the National Inpatient Sample (years 2002-2014) diagnosed with bacterial septicemia.

METHODS

Septicemic patients were classified as frail or nonfrail using the previously validated Johns Hopkins Adjusted Clinical Groups frailty-defining diagnoses indicator, and diagnosis of EE was abstracted from International Classification of Diseases 9 codes. We used multivariable logistic regression to generate odds ratios (ORs) for rates of EE development and in-hospital mortality based on frailty status. We also examined the association between frailty and blood culture-proven organism class, inpatient length of stay, and total charges billed to insurance.

MAIN OUTCOME MEASURES

Incidence of EE among septicemic patients; rates of EE development among frail and nonfrail patients; blood culture-proven microbe type, length of stay, and total charges billed to insurance.

RESULTS

9294 of 18 470 658 (0.05%) inpatients with bacteremia developed EE, 2102 (22.6%) of whom had at least 1 frailty-defining feature (predominantly malnutrition [68%]). Odds of developing EE were 16.7% higher for frail patients (OR, 1.167; 95% confidence interval, 1.108-1.229) when controlling for age, sex, race, concomitant human immunodeficiency virus/AIDS, pyogenic liver abscess, infectious endocarditis, cirrhosis, and diabetes with chronic complications. Frail EE patients had a 27.9% increased odds of in-hospital death, independent of age, sex, race, and Elixhauser comorbidity score (OR, 1.279; 95% confidence interval, 1.056-1.549). Higher rates of methicillin-resistant Staphylococcus aureus bacteremia (14.3% vs. 10.9%, P = 0.000016), gram-negative bacteremia (7.6% vs. 4.9%, P = 0.000003), and concomitant candidemia (10.4% vs. 7.0%, P = 0.0000004) were associated with frailty. Hospital stays were significantly longer (median, 14 days; interquartile range, 19 days; P < 0.00001) and total charges billed to insurance were significantly greater (median, $96 398; interquartile range, $154,682; P < 0.00001) among frail EE patients.

CONCLUSIONS

Frailty syndrome is independently associated with development of EE in the setting of bacterial septicemia; frailty-associated EE may occur in patients with malnutrition and particular bacterial subtypes, and it predisposes to higher rates of in-hospital death and health care resource usage.

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

STUDY DESIGN

Retrospective analysis of a prospectively maintained database.

OBJECTIVES

To evaluate the effects of interhospital transfer (IHT) status, age, and frailty on postoperative outcomes in patients who underwent spine surgery.

METHODS

The National Surgical Quality Improvement Program (NSQIP) database was queried for patients who underwent spine surgeries from 2015 to 2019 (N = 295,875). Univariate and multivariable analyses were utilized to analyze the effect of IHT on postoperative outcomes and the contribution of baseline frailty status (mFI-5 score stratified into "pre-frail", "frail", and "severely frail") on outcomes in IHT patients. Effect sizes were summarized by odds ratio (OR) with associated 95% confidence intervals (95% CI).

RESULTS

Of 295,875 patients in the study, 3.3% (N = 9666) were IHT status. On multivariable analysis, controlling for covariates, IHT status was significantly associated with greater likelihood of 30-day mortality (odds ratio [OR] = 9.3), major complications (OR=5.0), Clavien-Dindo (CD) grade IV complications (OR=7.0), unplanned readmission (OR=2.1), unplanned reoperation (OR=2.6), eLOS (OR=16.1), and discharge to non-home destination (OR=12.7) (all P < 0.001). Increasing frailty was significantly associated with poor outcomes in spine surgery patients with IHT status compared to chronological age.

CONCLUSIONS

This study provides evidence that IHT status is associated with poor outcomes in spine surgery patients. Furthermore, increasing frailty more than increasing age was a robust predictor of poor outcomes among IHT spine surgical patients. Baseline frailty status, as measured by the mFI-5, may be utilized for preoperative risk stratification of patients with IHT status with anticipated spine surgery.

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

PURPOSE

To evaluate the independent effect of frailty, as measured by the Risk Analysis Index-Administrative (RAI-A) for postoperative complications and discharge outcomes following brain tumor resection (BTR) in a large multi-center analysis.

METHODS

Patients undergoing BTR were queried from the National Surgical Quality Improvement Program (NSIQP) for the years 2015 to 2019. Multivariable logistic regression was performed to evaluate the independent associations between frailty tools (age, 5-factor modified frailty score [mFI-5], and RAI-A) on postoperative complications and discharge outcomes.

RESULTS

We identified 30,951 patients who underwent craniotomy for BTR; the median age of our study sample was 59 (IQR 47-68) years old and 47.8% of patients were male. Overall, increasing RAI-A score, in an overall stepwise fashion, was associated with increasing risk of adverse outcomes including in-hospital mortality, non-routine discharge, major complications, Clavien-Dindo Grade IV complication, and extended length of stay. Multivariable regression analysis (adjusting for age, sex, BMI, non-elective surgery status, race, and ethnicity) demonstrated that RAI-A was an independent predictor for worse BTR outcomes. The RAI-A tiers 41-45 (1.2% cohort) and > 45 (0.3% cohort) were ~ 4 (Odds Ratio [OR]: 4.3, 95% CI: 2.1-8.9) and ~ 9 (OR: 9.5, 95% CI: 3.9-22.9) times more likely to have in-hospital mortality compared to RAI-A 0-20 (34% cohort).

CONCLUSIONS AND RELEVANCE

Increasing preoperative frailty as measured by the RAI-A score is independently associated with increased risk of complications and adverse discharge outcomes after BTR. The RAI-A may help providers present better preoperative risk assessment for patients and families weighing the risks and benefits of potential BTR.

Frailty 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.

A nationwide registry study: The 5-factor modified frailty index of meningioma surgery in non-elderly and elderly patients

OBJECTIVES

The simplified 5-factor modified frailty index (mFI-5) is a useful indicator of outcome for patients undergoing surgeries as frailty is considered an important risk factor in elderly patients. However, its usefulness has not been validated based on age groups. Therefore, we aimed to investigate risk factors, including the mFI-5, across age groups for complications and worse outcomes in meningioma surgery using data obtained from the nationwide database in Japan.

METHODS

We extracted data from the nationwide registry database in Japan between 2010 and 2015. Age (< 65, 65-74, and ≥ 75 years), sex, Barthel Index (BI), mFI-5 scores, and complications were evaluated. Multivariate logistic regression analyses identified risk factors for worsening BI scores and complications after surgery across all age groups.

RESULTS

Among 8138 included patients, an mFI-5 score ≥ 2 items was a significant risk factor for worsening BI scores in patients aged < 65 years (odds ratio: 2.3; 95 % confidence interval: 1.5-3.4), but not in patients aged 65-74 years and those aged ≥ 75 years, contrary to chronological age. Similar results were noted for any complications in patients aged < 65 years (2.5; 1.8-3.6) and aged 65-74 years (1.5; 1.1-2.1), but not in patients aged ≥ 75 years.

CONCLUSION

Although the mFI-5 scores could predict the risk of in-hospital worsening outcomes, mortality, and complications, it was more useful in non-elderly patients aged < 65 years rather than in elderly patients aged ≥ 75 years, contrary to chronological age. Further prospective studies should be performed in the future to clarify the utility of the mFI-5.

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.

Patient frailty association with cerebral arteriovenous malformation microsurgical outcomes and development of custom risk stratification score: an analysis of 16,721 nationwide admissions

OBJECTIVE

Patient frailty is associated with poorer perioperative outcomes for several neurosurgical procedures. However, comparative accuracy between different frailty metrics for cerebral arteriovenous malformation (AVM) outcomes is poorly understood and existing frailty metrics studied in the literature are constrained by poor specificity to neurosurgery. This aim of this paper was to compare the predictive ability of 3 frailty scores for AVM microsurgical admissions and generate a custom risk stratification score.

METHODS

All adult AVM microsurgical admissions in the National (Nationwide) Inpatient Sample (2002–2017) were identified. Three frailty measures were analyzed: 5-factor modified frailty index (mFI-5; range 0–5), 11-factor modified frailty index (mFI-11; range 0–11), and Charlson Comorbidity Index (CCI) (range 0–29). Receiver operating characteristic curves were used to compare accuracy between metrics. The analyzed endpoints included in-hospital mortality, routine discharge, complications, length of stay (LOS), and hospitalization costs. Survey-weighted multivariate regression assessed frailty-outcome associations, adjusting for 13 confounders, including patient demographics, hospital characteristics, rupture status, hydrocephalus, epilepsy, and treatment modality. Subsequently, k-fold cross-validation and Akaike information criterion–based model selection were used to generate a custom 5-variable risk stratification score called the AVM-5. This score was validated in the main study population and a pseudoprospective cohort (2018–2019).

RESULTS

The authors analyzed 16,271 total AVM microsurgical admissions nationwide, with 21.0% being ruptured. The mFI-5, mFI-11, and CCI were all predictive of lower rates of routine discharge disposition, increased perioperative complications, and longer LOS (all p < 0.001). Their AVM-5 risk stratification score was calculated from 5 variables: age, hydrocephalus, paralysis, diabetes, and hypertension. The AVM-5 was predictive of decreased rates of routine hospital discharge (OR 0.26, p < 0.001) and increased perioperative complications (OR 2.42, p < 0.001), postoperative LOS (+49%, p < 0.001), total LOS (+47%, p < 0.001), and hospitalization costs (+22%, p < 0.001). This score outperformed age, mFI-5, mFI-11, and CCI for both ruptured and unruptured AVMs (area under the curve [AUC] 0.78, all p < 0.001). In a pseudoprospective cohort of 2005 admissions from 2018 to 2019, the AVM-5 remained significantly associated with all outcomes except for mortality and exhibited higher accuracy than all 3 earlier scores (AUC 0.79, all p < 0.001).

CONCLUSIONS

Patient frailty is predictive of poorer disposition and elevated complications, LOS, and costs for AVM microsurgical admissions. The authors’ custom AVM-5 risk score outperformed age, mFI-5, mFI-11, and CCI while using threefold less variables than the CCI. This score may complement existing AVM grading scales for optimization of surgical candidates and identification of patients at risk of postoperative medical and surgical morbidity.

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 modified 5-item frailty index is a predictor of perioperative risk in breast reconstruction: An analysis of 40,415 cases

BACKGROUND

The aging population has presented surgeons with new challenges as they increasingly must operate on greater numbers of frail patients. The modified frailty index 5 (mFI-5) is a concise comorbidity-based scale that has been shown to accurately predict adverse surgical outcomes. In this study, we sought to evaluate the ability of the mFI-5 to predict the risk of postoperative outcomes in breast reconstruction patients.

METHODS

Utilizing the 2015-2019 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database, we identified 40,415 patients who underwent breast reconstruction, of which 29,562 were implant-based reconstructions and 10,853 were autologous breast reconstructions. Demographic and preoperative variables as well as 30-day postoperative outcomes, including mortality, operation duration, length of hospital stay, medical and surgical complications, and discharge destination, were extracted.

RESULTS

Increases in the mFI score correlated with higher rates of reoperation (mFI≥3: 13.5% vs. mFI=0: 5.9%), unplanned readmission (mFI≥3: 10.8% vs. mFI=0: 3.6%), surgical (mFI≥3: 12.2% vs. mFI=0: 4.3%) and medical complications (mFI≥3: 6.8% vs. mFI=0: 1.2%), and lower rates of home discharge (mFI≥3: 96% vs. mFI=0: 99.5%). Multivariate analysis to control for confounders verified significantly higher rates of reoperation (OR=0.01, 95%CI 0.005-0.016), unplanned readmission (OR=0.009, 95%CI 0.005-0.014), and occurrence of surgical complications (OR=0.014, 95%CI 0.009-0.019) and medical complications (OR=0.005, 95%CI 0.002-0.008). Stratification by age showed that the mFI-5 was a stronger risk predictor in younger patients who are frail. Stratification by type of reconstruction showed that increased mFI scores significantly correlated with complications in both autologous and implant-based reconstruction, but the correlation was greater in autologous procedures.

CONCLUSION

The mFI-5 is identified as a powerful risk predictor in breast reconstruction. The application of this easily accessible tool in the preoperative risk stratification of patients undergoing breast reconstruction can enhance treatment planning and support, optimizing patient counseling, informed consent, and decision-making.

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.

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

Objective

The present study aimed to evaluate the effect of baseline frailty status (as measured by modified frailty index-5 [mFI-5]) versus age on postoperative outcomes of patients undergoing surgery for spinal tumors using data from a large national registry.

Methods

The National Surgical Quality Improvement Program database was used to collect spinal tumor resection patients’ data from 2015 to 2019 (n = 4,662). Univariate and multivariate analyses for age and mFI-5 were performed for the following outcomes: 30-day mortality, major complications, unplanned reoperation, unplanned readmission, hospital length of stay (LOS), and discharge to a nonhome destination. Receiver operating characteristic (ROC) curve analysis was used to evaluate the discriminative performance of age versus mFI-5.

Results

Both univariate and multivariate analyses demonstrated that mFI-5 was a more robust predictor of worse postoperative outcomes as compared to age. Furthermore, based on categorical analysis of frailty tiers, increasing frailty was significantly associated with increased risk of adverse outcomes. ‘Severely frail’ patients were found to have the highest risk, with odds ratio 16.4 (95% confidence interval [CI],11.21–35.44) for 30-day mortality, 3.02 (95% CI, 1.97–4.56) for major complications, and 2.94 (95% CI, 2.32–4.21) for LOS. In ROC curve analysis, mFI-5 score (area under the curve [AUC] = 0.743) achieved superior discrimination compared to age (AUC = 0.594) for mortality.

Conclusion

Increasing frailty, as measured by mFI-5, is a more robust predictor as compared to age, for poor postoperative outcomes in spinal tumor surgery patients. The mFI-5 may be clinically used for preoperative risk stratification of spinal tumor patients.

Changes in frailty after parathyroid and thyroid surgery

BACKGROUND

Frailty tools assess symptoms and comorbidities that may coincide with those of primary hyperparathyroidism. To test the hypothesis that parathyroidectomy improves frailty, we conducted a prospective cohort comparison of frailty after parathyroid or thyroid surgery.

METHODS

The Risk Analysis Index measuring frailty was prospectively administered to patients undergoing curative parathyroid exploration or total thyroidectomy. Risk Analysis Index results at the preoperative, postoperative, and last follow-up visits were assessed longitudinally.

RESULTS

Compared to total thyroidectomy patients (n = 142), parathyroid exploration patients (n = 187) were older (P = .001), more often male (P = .05) and had longer surgical follow-up (P < .001). Mean preoperative Risk Analysis Index scores were higher in parathyroid exploration patients (24 ± 9 vs total thyroidectomy 17 ± 8, P < .001). Parathyroid exploration patients demonstrated a significant decrease in Risk Analysis Index score from preoperative to last follow-up (P < .01); total thyroidectomy patients did not (P = .44). Parathyroid exploration patients were also less likely to exhibit a 20% increase in Risk Analysis Index over time, suggesting that parathyroidectomy slowed progression of frailty (2% vs 19%, P = .003).

CONCLUSION

In this prospective study of frailty using a validated assessment tool, Risk Analysis Index scores decreased after parathyroid exploration surgery. When compared to total thyroidectomy patients, parathyroid exploration patients were also less likely to suffer a clinically meaningful ≥20% increase in Risk Analysis Index scores after surgery, suggesting that parathyroid exploration patients better maintained baseline health at final follow-up.