Worse Pituitary Adenoma Surgical Outcomes Predicted by Increasing Frailty, Not Age

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.

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, 2024.

The risk analysis index demonstrates superior discriminative ability in predicting extended length of stay in pituitary adenoma resection patients when compared to the 5-point modified frailty index

Objective

To compare the predictive abilities of two frailty indices on post-operative morbidity and mortality in patients undergoing pituitary adenoma resection.

Methods

The National Surgical Quality Improvement Program (NSQIP) database was used to retrospectively collect data for patients undergoing pituitary adenoma resection between 2015-2019. To compare the predictive abilities of two of the most common frailty indices, the 5-point modified frailty index (mFI-5) and the risk analysis index (RAI), receiver operating curve analysis (ROC) and area under the curve (AUC)/Cstatistic were used.

Results

In our cohort of 1,454 patients, the RAI demonstrated superior discriminative ability to the mFI-5 in predicting extended length of stay (C-statistic 0.59, 95% CI 0.56-0.62 vs. C-statistic 0.51, 95% CI: 0.48-0.54, p = 0.0002). The RAI only descriptively appeared superior to mFI-5 in determining mortality (C-statistic 0.89, 95% CI 0.74-0.99 vs. Cstatistic 0.63, 95% CI 0.61-0.66, p=0.11), and NHD (C-statistic 0.68, 95% CI 0.60-0.76 vs. C-statistic 0.60, 95% CI: 0.57-0.62, p=0.15).

Conclusions

Pituitary adenomas account for one of the most common brain tumors in the general population, with resection being the preferred treatment for patients with most hormone producing tumors or those causing compressive symptoms. Although pituitary adenoma resection is generally safe, patients who experience post-operative complications frequently share similar pre-operative characteristics and comorbidities. Therefore, appropriate pre-operative risk stratification is imperative for adequate patient counseling and informed consent in these patients. Here we present the first known report showing the superior discriminatory ability of the RAI in predicting eLOS when compared to the mFI-5.

The Association Between Frailty and Visual Field Loss in US Adults

PURPOSE

To describe the association between visual field loss and frailty in a nationally representative cohort of US adults.

DESIGN

Retrospective cross-sectional study.

METHODS

The cohort included adults 40 years or older with complete eye examination data from the 2005-2006 and 2007-2008 National Health and Nutrition Examination Surveys (NHANES). Visual field loss (VFL) was determined by frequency doubling technology and a 2-2-1 algorithm. A 36-item deficit accumulation-based frailty index was used to divide subjects into 4 categories of increasing frailty severity.

RESULTS

Of the 4897 participants, 4402 (93.2%) had no VFL, 301 (4.1%) had unilateral VFL, and 194 (2.73%) had bilateral VFL. Within the sample, 2 subjects197 (53.1%) were categorized as non-frail, 1659 (31.3%) as vulnerable, 732 (11.3%) as mildly frail, and 312 (4.3%) as most frail. In multivariable models adjusted for demographics, visual acuity, and history of cataract surgery, subjects with unilateral VFL had higher adjusted odds of being in a more frail category (adjusted odds ratio [aOR], 2.07; 95% CI, 1.42-3.02) than subjects without VFL. Subjects with bilateral VFL also had higher odds of a more frail category compared to subjects without VFL (aOR, 1.74; 95% CI, 1.20-2.52).

CONCLUSIONS

In the 2005-2008 NHANES adult population, VFL is associated with higher odds of frailty, independent of central visual acuity loss. Frail individuals may be more susceptible to diseases that can cause VFL, and/or VFL may predispose to frailty. Additional studies are needed to determine the directionality of this relationship and to assess potential interventions.

Frailty as a Predictor of Post-Surgical Outcomes in Patients With Cutaneous Malignancies of the Scalp and Neck Requiring Flap Reconstruction

BACKGROUND

Investigate the ability of frailty status to predict post-surgical outcomes in patients with cutaneous malignancies of the scalp and neck undergoing flap reconstruction.

METHODS

National Surgical Quality Improvement Program database was used to isolate patients with cutaneous malignancies of the scalp and neck who underwent surgical resection between 2015 to 2019. Univariate and multivariate analyses were performed to determine if frailty score correlated with negative post-operative outcomes. Receiver operating characteristic (ROC) curves allowed testing of the discriminative performance of age versus frailty.

RESULTS

This study demonstrated an independent correlation between frailty and major complications as well as non-home discharge. In ROC curve analysis, frailty demonstrated superior discrimination compared to age for predicting major complications.

CONCLUSION

Our study demonstrated an association between increasing frailty and major complications as well as the likelihood of a non-home discharge. When compared to age, frailty was also shown to be a better predictor of major complications.

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.

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.

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.

Prognostic Models in Growth-Hormone- and Prolactin-Secreting Pituitary Neuroendocrine Tumors: A Systematic Review

Growth-hormone (GH)- and prolactin (PRL)-secreting PitNETs (pituitary neuroendocrine tumors) are divided into multiple histological subtypes, which determine their clinical and biological variable behavior. Proliferation markers alone have a questionable degree of prediction, so we try to identify validated prognostic models as accurately as possible. (1) Background: The data available so far show that the use of staging and clinical-pathological classification of PitNETs, along with imaging, are useful in predicting the evolution of these tumors. So far, there is no consensus for certain markers that could predict tumor evolution. The application of the WHO (World Health Organisation) classification in practice needs to be further evaluated and validated. (2) Methods: We performed the CRD42023401959 protocol in Prospero with a systematic literature search in PubMed and Web of Science databases and included original full-text articles (randomized control trials and clinical trials) from the last 10 years, published in English, and the search used the following keywords: (i) pituitary adenoma AND (prognosis OR outcome OR prediction), (ii) growth hormone pituitary adenoma AND (prognosis OR outcome OR prediction), (iii) prolactin pituitary adenoma AND (prognosis OR outcome OR prediction); (iv) mammosomatotroph adenoma AND (prognosis OR outcome OR prediction). (3) Results: Two researchers extracted the articles of interest and if any disagreements occurred in the selection process, these were settled by a third reviewer. The articles were then assessed using the ROBIS bias assessment and 75 articles were included. (4) Conclusions: the clinical-pathological classification along with factors such as GH, IGF-1, prolactin levels both preoperatively and postoperatively offer valuable information.

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.

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.

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.