mFI Score Research Articles

Frailty is a Poor Predictor of Postoperative Morbidity and Mortality After Ruptured Abdominal Aortic Aneurysm

Frailty has gained prominence as a predictor of postoperative outcomes across a number of surgical specialties, vascular surgery included. The role of frailty is less defined in the acute surgical setting. We assessed the prognostic value of frailty for patients undergoing surgery for a ruptured abdominal aortic aneurysm (rAAA). A single-institution retrospective chart review of all patients undergoing surgical intervention for rAAA between January 1, 2011 and November 27, 2019 was performed. Frailty was assessed for each patient using the modified frailty index (mFI), a validated frailty metric based on the Canadian Study of Health and Aging. Frailty was defined as an mFI ≥0.27. The performance of the mFI was compared to that of the Vascular Study Group of New England (VSGNE) rAAA mortality risk score. Chi square, Fisher's exact, and t tests, were used to evaluate for associations between frailty and in-hospital outcomes. Univariate and multivariate logistic regression were used to obtain odds ratios for in-hospital mortality. A receiver operating characteristic (ROC) curve was generated to compare the predictive value of the mFI and VSGNE score for in-hospital mortality. Sixty patients were identified during the study period with an in-hospital mortality rate of 37%. Twenty-one patients were deemed frail by mFI metric and included all patients with known myocardial infarction, stroke with a neurologic deficit or dependent functional status, however the mortality rate did not differ significantly based on frailty status (33% nonfrail vs. 43% frail, P= 0.47). Frailty status was not significantly different for patients with acute kidney injury (10% nonfrail vs. 10% frail), prolonged intubation (13% vs. 5%), abdominal compartment syndrome (8% vs. 10%), and Type I or Type III endoleak (8% vs. 19%). On multivariate analysis controlling for systolic blood pressure <70 mm Hg, suprarenal aortic control, and creatinine >2.0 mg/dl, the mFI produced an adjusted odds ratio (aOR) of 0.7 (95% confidence interval [CI]: 0.2-3.0). The ROC curve for the mFI produced an area under the curve (AUC) of 0.55 (P= 0.55) for in-hospital mortality while that of the VSGNE score produced an AUC of 0.69 (P= 0.02). The mFI did not significantly predict in-hospital outcomes after rAAA in this cohort. This suggests that the baseline health status of a patient with rAAA may play a less significant role in their postoperative prognosis than their acuity on presentation.

Modified frailty index predicts complications and death after non-bariatric gastrectomies.

The modified frailty index (mFI) has been shown to predict mortality and morbidity after major operations. The aim of the present study was to assess the mFI as a preoperative predictor of short-term postoperative complications and 30-day mortality in patients undergoing gastrectomy for non-bariatric diseases. The American College of Surgeons National Surgical Quality Improvement Program (ACS NSQIP) database was queried for patients who underwent total or partial gastrectomy from 2005 to 2011. A mFI was calculated based on 11 variables as previously described. The population divided into the following four categories based on the mFI score: the non-frail (mFI 0), the low frail (mFI 1), the intermediate frail (mFI 2) and frail (mFI ≥3). Thirty-day mortality and postoperative complications were evaluated. Overall, 5,711 patients underwent a gastrectomy for non-bariatric diseases. Higher mFI score was associated with higher rates of mortality (from 1.2% in the non-frail group to 10.7% in frail group, P<0.001), overall morbidity (26.7% vs. 51.1%, P<0.001), postoperative Clavien IV complication (6% vs. 24.6%, P<0.001), serious complications (19.3% vs. 42.6%, P<0.001), sepsis-related complications (8.4% vs. 16.4%, P<0.001), cardiopulmonary complications (5% vs. 20.7%, P<0.001) and failure to rescue (5.7% vs. 21.8%, P<0.001). Higher mFI score in patients undergoing non-bariatric gastrectomy, is associated with a stepwise greater risk of postoperative morbidity and mortality. MFI Score can be easily calculated preoperatively, from the patient's history, and it can be used as an exceptionally useful criterion for treatment planning.

The role of frailty index in predicting readmission risk following total joint replacement using light gradient boosting machines

Total joint replacement (TJR) is a costly and prevalent surgery among older persons. Readmission is the most commonly experienced postoperative adverse event and is an important component to consider before surgery. A preoperative evaluation of postsurgical complications can assist with appropriate postoperative discharge decisions and can improve informed consent. Our goal was to compare and use American Society of Anesthesiologists’ Physical Status Classification (ASA) versus modified frailty index (mFI-5) in readmission risk following TJR. We implemented light gradient boosting machine (LightGBM) as the main machine learning technique on data from American College of Surgeons National Surgical Quality Improvement Program (NSQIP) between 2011 and 2017 to preoperatively predict risk of postoperative readmission. We also compared results to extreme gradient boosting (XGB), logistic regression and random forests machine learning techniques. We included 22 presurgical diagnoses and symptoms as well as ASA and mFI-5 scores. However, we randomly split our cohort into 80% training and 20% hold out test data, performing 5-fold cross validation on the 80% training dataset. Model comparisons were based on area under the receiver operating characteristics curve (AUC) obtained on the hold out data. A variable importance analysis was performed on the best modelling technique. Our analytic sample included 477, 616 surgeries. The readmission rate was 3.6% (n = 17 430). ASA class as a standalone predictor yielded an AUC of 0.607 and mFI-5 yielded an AUC of 0.585. LightGBM models using all the defined predictors resulted in an AUC of 0.67. Variable importance analysis on the final LightGBM model showed that ASA, age and mFI-5 are amongst the most important predictors. However, the frailty index can provide more detailed information on the requirement of care post-surgery. There is value in measuring not only the diagnoses and symptoms, but also patient frailty. As standalone variables, both ASA and mFI-5 are moderately associated with post TJR readmission. The LightGBM model predicted post-TJR readmission with moderate accuracy. Future studies should also include socioeconomic and behavioral factors as potential predictors of readmission.

Use of a 5-item modified Fragility Index for risk stratification in patients undergoing surgical management of proximal humerus fractures.

HypothesisWe hypothesized that the modified Fragility Index (mFI) would predict complications in patients older than 50 years who underwent operative intervention for a proximal humerus fracture.MethodsWe retrospectively reviewed the American College of Surgeons National Surgery Quality Improvement Program database, including patients older than 50 years who underwent open reduction and internal fixation of a proximal humerus fracture. A 5-item mFI score was then calculated for each patient. Postoperative complications, readmission and reoperation rates as well as length of stay (LOS) were recorded. Univariate as well as multivariable statistical analyses were performed, controlling for age, sex, body mass index, LOS, and operative time.ResultsWe identified 2,004 patients (median age, 66 years; interquartile range: 59-74), of which 76.2% were female. As mFI increased from 0 to 2 or greater, 30-day readmission rate increased from 2.8% to 6.7% (P-value = .005), rate of discharge to rehabilitation facility increased from 7.1% to 25.3% (P-value < .001), and rates of any complication increased from 6.5% to 13.9% (P-value < .001). Specifically, the rates of renal and hematologic complications increased significantly in patients with mFI of 2 or greater (P-value = .042 and P-value < .001, respectively). Compared with patients with mFI of 0, patients with mFI of 2 or greater were 2 times more likely to be readmitted within 30 days (odds ratio = 2.2, P-value .026). In addition, patients with mFI of 2 or greater had an increased odds of discharge to a rehabilitation center (odds ratio = 2.3, P-value < .001). However, increased fragility was not significantly associated with an increased odds of 30-day reoperation or any complication after controlling for demographic data, LOS, and operative time.ConclusionAn increasing level of fragility is predictive of readmission and discharge to a rehabilitation center after open reduction and internal fixation of proximal humerus fractures. Our data suggest that a simple fragility evaluation can help inform surgical decision-making and counseling in patients older than 50 years with proximal humerus fractures.

Enhanced Recovery After Surgery Protocols. Does Frailty Play a Role?

The 5-modified frailty index (mFI) is a valid predictor of 30-day mortality after surgery. With the wide implementation of enhanced recovery after surgery (ERAS) protocols in colorectal patients, the predictive power of frailty and its contribution to morbidity and length of stay (LOS) can be underestimated. We reviewed all colectomy patients undergoing ERAS protocol at a single, tertiary care institution from January 2016-January 2019. The 5-mFI score was calculated based on the presence of 5 comorbidities: Congestive heart failure (CHF), diabetes mellitus, chronic obstructive pulmonary disease, functional status, and hypertension (HTN). Multivariate analysis was used to assess the impact of 5-mFI score on morbidity, emergency department (ED) visits, readmissions, and LOS. 360 patients were evaluated including 163 elderly patients. Frailer patients had a higher rate of ED visits (P = .024), readmissions (P = .029), and LOS (P < .001). Patients with CHF had a higher chance of prolonged LOS, whereas patients with HTN had a higher chance of ED. Elderly patients with an mFI score of 3 and 4 were likely to have longer LOS (P = .01, P = .07, respectively). Elderly patients with an mFI score of 4 were 15 times more likely to visit ED and 22 times more likely to be readmitted than patients with an mFI score of 0. An increase in 5-mFI for elderly patients undergoing colorectal procedures increases ED visits or readmissions, and it correlates to a higher LOS, especially in elderly patients. This instrument should be used in the assessment of frail, elderly patients undergoing colorectal procedures.

The Accumulating Deficits Model for Postoperative Mortality and Readmissions: Comparison of Four Methods Over Multiple Calendar Year Cohorts.

To assess 4 measures of the accumulating deficits model of frailty for postoperative mortality and readmissions including their stability over time. Frailty has been assessed by multiple methods. It is unclear whether variation in how frailty is measured is important and would be stable over time. Rockwood's 57-item frailty index was mapped onto 14,568 ICD9 diagnosis codes from Healthcare Cost and Utilization Project State Inpatient Database for the state of Florida (HCUP-SID-FL) for calendar years 2011 to 2015, inclusive, with 962 ICD9 codes matching onto 42 items. This became the modified frailty index (mFI) used. Three measures of the mFI were differentiated: the number of admission diagnoses, number of chronic conditions upon admission, and number of increased deficits accumulated during the admission. The Charlson Co-Morbidity Index was a fourth measure of frailty. The mFI of patients who survived or died and were readmitted or not were compared. Across all years, 4,796,006 patient observations were compared to the number of diagnoses matched on the 42 items of the mFI. The median mFI scores for each method was statistically significantly higher for patients who died compared those that survived and for patients readmitted compared to patients not readmitted for all years. There was little-to-no variation in the year to year median mFI scores. The 4 methods of calculating frailty performed similarly and were stable. The actual method of determining the accumulated deficits may not be as important as enumerating their number.

Impact of frailty on surgery for glioblastoma: a critical evaluation of patient outcomes and caregivers' perceptions in a developing country.

The authors aimed to evaluate the impact of age and frailty on the surgical outcomes of patients with glioblastoma (GBM) and to assess caregivers' perceptions regarding postdischarge care and challenges faced in the developing country of India. This was a retrospective study of patients with histopathologically proven GBM from 2009 to 2018. Data regarding the clinical and radiological characteristics as well as surgical outcomes were collected from the institute's electronic database. Taking Indian demographics into account, the authors used the cutoff age of 60 years to define patients as elderly. Frailty was estimated using the 11-point modified frailty index (mFI-11). Patients were divided into three groups: robust, with an mFI score of 0; moderately frail, with an mFI score of 1 or 2; and severely frail, with an mFI score ≥ 3. A questionnaire-based survey was done to assess caregivers' perceptions about postdischarge care. Of the 276 patients, there were 93 (33.7%) elderly patients and 183 (66.3%) young or middle-aged patients. The proportion of severely frail patients was significantly more in the elderly group (38.7%) than in the young or middle-aged group (28.4%) (p < 0.001). The authors performed univariate and multivariate analysis of associations of different short-term outcomes with age, sex, frailty, and Charlson Comorbidity Index. On the multivariate analysis, only frailty was found to be a significant predictor for in-hospital mortality, postoperative complications, and length of hospital and ICU stay (p < 0.001). On Cox regression analysis, the severely frail group was found to have a significantly lower overall survival rate compared with the moderately frail (p = 0.001) and robust groups (p < 0.001). With the increase in frailty, there was a concomitant increase in the requirement for readmissions (p = 0.003), postdischarge specialist care (p = 0.001), and help from extrafamilial sources (p < 0.001). Greater dissatisfaction with psychosocial and financial support among the caregivers of severely frail patients was seen as they found themselves ill-equipped to provide postdischarge care at home (p < 0.001). Frailty is a better predictor of poorer surgical outcomes than chronological age in terms of duration of hospital and ICU stay, postoperative complications, and in-hospital mortality. It also adds to the psychosocial and financial burdens of the caregivers, making postdischarge care challenging.

Modified frailty index as an indicator for outcomes, discharge status, and readmission after lower extremity bypass surgery for critical limb ischemia

Frailty has been associated with poor postoperative outcomes. This study evaluated the 5-factor modified frailty index (mFI-5) to assess complications, mortality, discharge disposition, and readmission in patients undergoing lower extremity (LE) bypass for critical limb ischemia (CLI).The National Surgical Quality Improvement Program vascular module (2011-2017) was utilized to identify patients undergoing LE bypass for CLI. Adverse events included infectious complications, bleeding complications, prolonged ventilation, amputation, readmission, and death. Patients were divided into groups based on mFI-5 scores: mFI1 (0), mFI2 (0.2), mFI3 (0.4), and mFI4 (0.6-1). Data were analyzed using the Cochran-Mantel-Haenszel statistic for general association and multivariable logistic regression. About 11,530 patients undergoing bypass for CLI were identified (42% rest pain and 58% tissue loss; 23% mFI1, 31% mFI2, 27% mFI3, and 19% mFI4; 64% men and 36% women). An increase in mFI-5 was associated with higher 30-day mortality (mFI1=0.62%; mFI12=1.45%; mFI13=1.35%; and mFI14=3.09%; P<.0001). After adjustment for age, mFI4 was associated with increased mortality compared with mFI1 (odds ratio, 3.80; 95% confidence interval, 1.69-8.54). Increased mFI-5 was associated with bleeding complications, wound infections, urinary tract infections, prolonged ventilation, sepsis, unplanned reoperations, and discharge to nonhome destination (all P<.01). Compared with mFI1 (13.5%), mFI4 was associated with increased 30-day readmission (24.8%, P<.0001). In patients undergoing LE bypass for CLI, higher mFI-5 was associated with increased postoperative complications, in-hospital and 30-day mortality, nonhome discharge, and 30-day readmission. The mFI-5 as an easily calculated tool can identify patients at high risk for inferior outcomes. It should be incorporated into discharge planning after LE bypass for CLI.

Prediction of Risk Factors after Spine Surgery in Patients Aged >75 Years Using the Modified Frailty Index.

ObjectiveSpine surgery is associated with higher morbidity and mortality rates in elderly patients. The modified Frailty Index (mFI) is an evaluation tool to determine the frailty of an individual and how preoperative status may impact postoperative survival and outcomes. This study aimed to determine the usefulness of mFI in predicting postoperative complications in patients aged ≥75 years undergoing surgery with instrumentation. MethodsWe retrospectively reviewed the perioperative course of 137 patients who underwent thoracolumbar-instrumentation spine surgery between 2011 and 2016. The preoperative risk factors were the 11 variables of the mFI, as well as body mass index (kg/cm2), preoperative hemoglobin, platelet, albumin, creatinine, anesthesia time, operation time, estimated blood loss, and transfusion amount. The 60-day occurrences of complication rates were used for outcome assessment. ResultsMajor complications after spinal instrumentation surgery occurred in 34 of 138 patients (24.6%). The mean mFI score was 0.18±0.12. When we divided patients into a pre-frail group (mFI, 0.09–0.18; n=94) and a frail group (mFI ≥0.27; n=44), only the rate of sepsis was statistically higher in the frail group than in the pre-frail group. There were significantly more major complications in patients with low albumin levels or in patients with infection or who had experienced trauma. The mFI was a more useful predictor of postoperative complications than the American Society of Anesthesiologists physical status score. ConclusionThe mFI can successfully predict postoperative morbidity and mortality in patients aged ≥75 years undergoing spine surgery. The mFI improves perioperative risk stratification that provides important information to assist in the preoperative counselling of patients and their families.

The Effect of Frailty versus Initial Glasgow Coma Score in Predicting Outcomes Following Chronic Subdural Hemorrhage: A Preliminary Analysis.

BackgroundInitial Glasgow Coma Score (iGCS) is a well-known predictor of adverse outcomes following chronic subdural hemorrhage (cSDH). Frailty, i.e. a reduced physiologic reserve, is associated with poorer outcomes across the surgical literature, however, there is no consensus on the best measure of frailty. To date, no study has compared frailty’s ability to predict cSDH outcomes versus iGCS. The goal of this study was to, therefore, examine the prognostic value of the 5- (mFI-5) and 11-factor (mFI-11) modified frailty index, and Charlson Comorbidity Index (CCI) versus iGCS following cSDH.MethodsBetween January, 2016 and June, 2018, patients who presented to the emergency department with cSDH were retrospectively identified using the International Classification of Diseases (ICD) codes. mFI-5, mFI-11, and CCI scores were calculated using patient baseline characteristics. Primary endpoints were death and discharge home and subgroup analyses were performed among operative cSDH. Univariate and multivariate logistic regressions were used to determine predictors of primary endpoints.ResultsOf the 109 patients identified, the average age was 72.6±1.6 years and the majority (69/109, 63.3%) were male. The average CCI, mFI-5, and mFI-11 were 4.5 ±0.2, 1.5 ±0.1, and 2.2 ±0.1, respectively. Fifty (45.9%) patients required surgical intervention, 11 (10.1%) died, and 48 (43.4%) were discharged home. In the overall cohort, while the only multivariate predictor of mortality was iGCS (OR=0.58; 95%CI:0.44-0.77; p=0.0001), the CCI (OR=0.73; 95%CI:0.58-0.92; p=0.0082) was a superior predictor of discharge home compared to iGCS (OR=1.46; 95%CI:1.13-1.90; p=0.0041). Conversely, among those who received an operative intervention, the CCI, but not iGCS, independently predicted both mortality (OR=4.24; 95%CI:1.01-17.86; p=0.0491) and discharge home (OR=0.55; 95%CI:0.33-0.90; p=0.0170). Neither mFI nor age predicted primary outcomes in multivariate analysis.ConclusionWhile frailty is associated with worse surgical outcomes, the clinical utility of the mFI-5, mFI-11, and CCI in cSDH is unclear. We show that the iGCS is an overall superior predictor of mortality following cSDH but is outperformed by the CCI after operative intervention. Similarly, the CCI is the superior predictor of discharge home in cSDH patients overall and following an operative intervention. These results indicate that while the iGCS best predicts mortality overall, the CCI may be considered when prognosticating post-operative course and hospital disposition.

Utility of the modified frailty index in predicting toxicity and cancer outcomes for older adults with advanced pancreatic cancer receiving first-line palliative chemotherapy

Pancreatic cancer primarily affects older adults and is associated with a high morbidity and mortality. Identifying frail patients with advanced pancreatic cancer (APC) helps to mitigate the risks of chemotherapy (CT). The modified Frailty Index (mFI) is an 11-point deficit measure used to identify frail patients. Although validated in surgical fields, it has not been assessed in an APC population. A retrospective cohort study evaluated consecutive patients, aged ≥65 years, diagnosed with APC from 2011 to 2016 and treated with first line palliative-intent CT. mFI was categorized as: 0, 1, 2 and ≥ 3. Descriptive analysis was completed comparing patient characteristics, CT toxicity, response to treatment, and overall survival (OS) by mFI score. 87 patients with APC received palliative CT. Median age was 71 (65-88), 54% male. A mFI score of 0, 1, 2, and ≥ 3 occurred for 20 (23%), 28 (32.2%), 25 (28.7%) and 14 (16.1%) patients respectively. Patients with mFI scores of 0-1 were more likely to receive: 5-fluorouracil, irinotecan and oxaliplatin. CT toxicity, emergency room (ED) and urgent cancer clinic (UCC) presentation, and hospitalization length did not differ by mFI. Longer OS was associated with better ECOG and receipt of combination CT. This is the first assessment of the mFI in an APC population receiving CT. The mFI score did not correlate with toxicity, ED/UCC visits, hospitalization length or OS. Ongoing assessment of tools that accurately identify frailty in patients with APC is critical to help better select candidates for aggressive CT.

The 5-factor modified frailty index: an effective predictor of mortality in brain tumor patients.

Health measures such as the Charlson Comorbidity Index (CCI) and the 11-factor modified frailty index (mFI-11) have been employed to predict general medical and surgical mortality, but their clinical utility is limited by the requirement for a large number of data points, some of which overlap or require data that may be unavailable in large datasets. A more streamlined 5-factor modified frailty index (mFI-5) was recently developed to overcome these barriers, but it has not been widely tested in neuro-oncology patient populations. The authors compared the utility of the mFI-5 to that of the CCI and the mFI-11 in predicting postoperative mortality in brain tumor patients. The authors retrospectively reviewed a cohort of adult patients from a single institution who underwent brain tumor surgery during the period from January 2017 to December 2018. Logistic regression models were used to quantify the associations between health measure scores and postoperative mortality after adjusting for patient age, race, ethnicity, sex, marital status, and diagnosis. Results were considered statistically significant at p values ≤ 0.05. Receiver operating characteristic (ROC) curves were used to examine the relationships between CCI, mFI-11, and mFI-5 and mortality, and DeLong's test was used to test for significant differences between c-statistics. Spearman's rho was used to quantify correlations between indices. The study cohort included 1692 patients (mean age 55.5 years; mean CCI, mFI-11, and mFI-5 scores 2.49, 1.05, and 0.80, respectively). Each 1-point increase in mFI-11 (OR 4.19, p = 0.0043) and mFI-5 (OR 2.56, p = 0.018) scores independently predicted greater odds of 90-day postoperative mortality. Adjusted CCI, mFI-11, and mFI-5 ROC curves demonstrated c-statistics of 0.86 (CI 0.82-0.90), 0.87 (CI 0.83-0.91), and 0.87 (CI 0.83-0.91), respectively, and there was no significant difference between the c-statistics of the adjusted CCI and the adjusted mFI-5 models (p = 0.089) or between the adjusted mFI-11 and the adjusted mFI-5 models (p = 0.82). The 3 indices were well correlated (p < 0.01). The adjusted mFI-5 model predicts 90-day postoperative mortality among brain tumor patients as well as our adjusted CCI and adjusted mFI-11 models. The simplified mFI-5 may be easily integrated into clinical workflows to predict brain tumor surgery outcomes in real time.

The 5-factor modified frailty index predicts health burden following surgery for pituitary adenomas

Frailty is known to influence cost-related surgical outcomes in neurosurgery, but quantifying frailty is often challenging. Therefore, we investigated the predictive value of the 5-factor modified frailty index (mFI-5) on total hospital charges, LOS, and 90-day readmission for patients undergoing pituitary surgery. The medical records of all patients undergoing endoscopic endonasal resection of pituitary adenomas at an academic medical center between January 2017 and December 2018 were retrospectively reviewed. Bivariate statistical analyses were conducted using Fisher's exact test, chi-square test, and independent samples t-test. Linear and logistic regression models were used for multivariate analysis. Our cohort (n = 234) had a mean age of 53.8years (standard deviation 14.6years). Sex distributions were equal, and most patients were Caucasian (59%). On multivariate linear regression, with each one-point increase in mFI-5, total LOS increased by 0.64days in the overall cohort (p < 0.001), 1.08days in the Cushing disease cohort (p = 0.045), and 0.59days in non-functioning tumors cohort (p = 0.004). Total charges increased by $3954 in the whole cohort (p < 0.001), $10,652 in the Cushing disease cohort (p = 0.033), and $2902 in the non-functioning tumors cohort (p = 0.007) with each one-point increase in mFI-5. Greater mFI-5 scores were associated with greater odds of 90-day readmission in both overall and Cushing disease cohorts, but these associations did not reach statistical significance. A patient's mFI-5 score is significantly associated with increased length of stay and hospital charges for patients undergoing pituitary surgery. The mFI-5 may hold peri-operative value in patient counseling for pituitary adenoma surgery.

A simplified preoperative risk assessment tool as a predictor of complications in the surgical management of forearm fractures

PurposeFrailty is a well-known predictor of adverse postoperative outcomes and is often considered in the preoperative planning stage of surgery. In recent years, the modified frailty index (mFI), a novel metric used to quantify frailty, has become increasingly used in the orthopedic literature as a risk assessment tool. In this study, we analyze the utility of the mFI in predicting unplanned repeat operations and morbidity in the surgical treatment forearm fractures. MethodsWe used the American College of Surgeons National Surgical Quality Improvement Program 2006–2014 dataset to identify patients undergoing open fixation of forearm fractures. The mFI was calculated based on 5 possible comorbid conditions. Demographic and predictor variables were analyzed for associations with each outcome. In order to assess frailty in both the general and elderly population, two analyses were completed: one for the entire population and one for a population of age 65 or older. The primary outcome of interest was unplanned repeat operation. Secondary outcomes included discharge destination and major post-operative complications. Chi square and logistic regression analyses were used to identify associations. ResultsA total of 4641 patients were included in our final analysis. There was a higher prevalence of females and patients between the ages of 61 and 80 compared to other age groups. An mFI score ≥2 was a positively associated with unplanned repeat operation in the general population. An mFI score ≥2 was also positively associated with a discharge destination other than home and major post-operative complications. In the elderly population, mFI ≥2 was similarly associated with a discharge destination other than the patient’s home. ConclusionsPatients undergoing open treatment of forearm fractures were at an increased likelihood of having an unplanned repeat operation and having major complications as frailty score increased, demonstrating that the mFI may be clinically applicable risk assessment tool for these patients.

The Utility of the Modified Frailty Index in Outcome Prediction for Elderly Patients with Acute Traumatic Subdural Hematoma.

This study aimed to evaluate the utility of the 11-variable modified Frailty Index (mFI) in prognosticating elderly patients with traumatic acute subdural hematomas (aSDHs). A state-service level 1 trauma center registry was interrogated to investigate consecutive patients ≥65 years of age presenting with traumatic aSDH, with or without major extracranial injury, between January 2013 and December 2017. mFI on admission, demographics, and admission details, including Glasgow Coma Scale (GCS) and pupillary status and radiological findings, were retrospectively retrieved from institutional records. Clinical outcome data were retrieved from medical records and the Victorian State Trauma Registry (VSTR). Outcome measures were 1) 30-day mortality and 2) 6-month unfavorable outcome, defined by the Extended Glasgow Outcome Scale (GOS-E). Five hundred twenty-nine consecutive cases were identified from the registry. Demographic data included: 1) age (median; interquartile range) = 80.46; 74.17-85.89; 2) mFI (mean ± standard deviation) = 1.96 ± 1.42 of 11 variables. Four hundred sixteen cases (79%) had complete outcome data. As mFI increased from 0/11 variables to ≥5/11 variables (≥0.45), 30-day mortality risk increased from 17.72% to 39.29% (p = 0.023) and 6-month unfavorable outcome risk increased from 40.51% to 96.43% (p < 0.001). Multi-variate analysis showed that greater mFI score of ≥3/11 variables (≥0.27) suggested a significantly higher risk of 30-day mortality (p = 0.009) and unfavorable outcome (p < 0.001). We conclude that increasing frailty, as measured by the mFI, was associated with significantly higher risk of 30-day mortality and 6-month unfavorable outcome in elderly patients presenting with aSDH to a level 1 neurotrauma center. Assessment of mFI in elderly patients with aSDH may be a useful determinant of outcome for this rapidly growing population.

Frailty Remains Highly Correlated With Mortality After Endovascular Aneurysm Repair in Octogenarians

The elective treatment of asymptomatic abdominal aortic aneurysm must be balanced with individual life expectancy, which can be difficult to estimate. Frailty can help estimate perioperative risk, but most scales are heavily weighted by patient age. The objective of this study was to assess how frailty affects the outcomes of those with advanced age (≥80 years) undergoing endovascular aneurysm repair (EVAR). The Vascular Quality Initiative EVAR module was queried for all patients ≥80 years who underwent elective EVAR. A previously validated frailty model, the modified frailty index (mFI), was used to calculate a score for each patient. The mFI scores were calculated both with and without age as a variable. Low-, moderate-, and high-risk groups were created on the basis of the 0 to 25th, 26th to 75th, and 76th to 99th percentile distributions of the score across the study cohort. Logistic and Cox proportional hazards models were built using mFI score as a continuous variable. Of 9780 patients older than 80 years undergoing elective EVAR, 8462 (87%) had sufficient data to calculate the mFI. The mFI scores ranged from 26 to 56 with a median of 31. Low frailty corresponded to mFI score of <30; moderate frailty, 30 to 34; and high frailty, ≥35. There was no difference between groups in intraoperative complications or early reoperation. Among the low, moderate, and high frailty groups, the rates of early postoperative complications (7%, 7.1%, and 10%; P = .003) and 30-day mortality (0.8%, 1.1%, and 2.7%; P < .001) were higher in the highest frailty group. One-year mortality increased across the low (4%), moderate (6.8%), and high (13.6%) frailty groups (P < .001). An unadjusted Cox proportional hazards model yielded a hazard ratio of 1.09 (95% confidence interval, 1.08-1.1), representing a 9% increase in mortality hazard for every 1-point increase in mFI score. Kaplan-Meier survival curves by frailty group are shown in Fig 1. When frailty scores were calculated independently of age, postoperative complications and mortality were unchanged between groups as shown in Fig 2. A validated, easily calculable frailty index is strongly associated with perioperative and 1-year mortality among patients ≥80 years undergoing EVAR. In low-frailty octogenarians, EVAR is safe with low postoperative morbidity and mortality. Despite being the most heavily weighted component of the mFI, age adds little or no prognostic value past 80 years old.Fig 2View Large Image Figure ViewerDownload Hi-res image Download (PPT)

Frailty Index Is a Poor Predictor of Postoperative Morbidity and Mortality After Ruptured Abdominal Aortic Aneurysm

Abstract Objectives : Frailty has gained prominence as a predictor of postoperative outcomes across a number of surgical specialties, vascular surgery included. The role of frailty is less defined in the acute surgical setting. We assessed the prognostic value of frailty for patients undergoing surgery for a ruptured abdominal aortic aneurysm (rAAA). Methods : A single-institution retrospective chart review of all patients undergoing surgical intervention for rAAA between January 1, 2011 and November 27, 2019 was performed. Frailty was assessed for each patient using the modified frailty index (mFI), a validated frailty metric based on the Canadian Study of Health and Aging. Frailty was defined as an mFI ≥ 0.27. The performance of the mFI was compared to that of the Vascular Study Group of New England (VSGNE) rAAA mortality risk score. Chi square, Fisher's exact, and t tests, were used to evaluate for associations between frailty and in-hospital outcomes. Univariate and multivariate logistic regression were used to obtain odds ratios for in-hospital mortality. A receiver operating characteristic (ROC) curve was generated to compare the predictive value of the mFI and VSGNE score for in-hospital mortality. Results : Sixty patients were identified during the study period with an in-hospital mortality rate of 37%. Twenty-one patients were deemed frail by mFI metric and included all patients with known myocardial infarction, stroke with a neurologic deficit or dependent functional status, however the mortality rate did not differ significantly based on frailty status (33% non-frail vs. 43% frail, p=0.47). Frailty status was not significantly different for patients with acute kidney injury (10% non-frail vs. 10% frail), prolonged intubation (13% vs. 5%), abdominal compartment syndrome (8% vs. 10%), and Type I or Type III endoleak (8% vs. 19%). On multivariate analysis controlling for systolic blood pressure 2.0 mg/dl, the mFI produced an adjusted odds ratio (aOR) of 0.7 (95% confidence interval [CI]: 0.2-3.0). The ROC curve for the mFI produced an area under the curve (AUC) of 0.55 (p=0.55) for in-hospital mortality while that of the VSGNE score produced an AUC of 0.69 (p=0.02). Conclusions : The mFI did not significantly predict in-hospital outcomes after rAAA in this cohort. This suggests that the baseline health status of a patient with rAAA may play a less significant role in their postoperative prognosis than their acuity on presentation. Funding : This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.

The 5-Item Modified Frailty Index Predicts Adverse Outcomes in Trauma

BackgroundThe 5-item modified frailty index (mFI-5) has been shown to predict adverse outcomes in surgery; yet, its role in trauma patients is unclear. We hypothesized that increasing frailty, as indicated by increasing mFI-5 scores, would correlate with worse outcomes and greater mortality in trauma patients. MethodsWe performed a retrospective review of patients captured by our 2018 Spring and Fall Trauma Quality Improvement Program registry. The mFI-5 was calculated by assigning one point for each comorbidity present: diabetes, hypertension, congestive heart failure, chronic obstructive pulmonary disease, and functionally dependent health status. Outcomes included complications, length of stay, mortality, and discharge location. ResultsA total of 3364 patients were included; 68.0% (n = 2288) were not frail, 16.5% (n = 555) were moderately frail, and 15.5% (n = 521) were severely frail. Higher frailty scores were associated with greater rates of unplanned intubations (P < 0.01) and unplanned admissions to the intensive care unit (P < 0.01). Rates of nonhome discharge (P < 0.0001) were significantly higher in the severe frailty group compared with the moderate and no frailty groups. On multivariable regression adjusting for demographics and injury details, severe frailty was predictive of any complication (odds ratio [OR], 1.53; 95% confidence interval [95% CI], 1.12-2.11; P < 0.01), failure to rescue (OR, 2.88; 95% CI, 1.47-5.66; P = 0.002), nonhome discharge (OR, 1.88; 95% CI, 1.47-2.40; P < 0.0001), and mortality (OR, 1.83; 95% CI, 1.07-3.15; P = 0.03). ConclusionsFrailty is not only associated with longer hospitalizations but also with more complications, adverse discharge locations, and increased odds of mortality. The mFI-5 is a quick and intuitive tool that can be used to determine an individual's frailty at the time of admission.

Spinal Surgery in Patients Aged 80 Years and Older: Risk Stratification Using the Modified Frailty Index.

Study Design:This was an ambispective clinical quality registry study.Objective:To evaluate utility of 11-variable modified Frailty Index (mFI) in predicting postoperative outcomes among patients ≥80 years undergoing spinal surgery.Methods:Consecutive patients ≥80 years who underwent spinal surgery between January 1, 2013, and June 30, 2018, were included. Primary outcome measure was rate of major complication. Secondary outcome measures were (1) overall complication rate, (2) surgical site infection, and (3) 6-month mortality.Results:A total of 121 operations were performed. Demographic metrics were (1) age (mean ± SD) = 83.1 ± 2.8 years and (2) mFI (mean ± SD) = 2.1 ± 1.4 variables. As mFI increased from 0 to ≥4 variables, risk of major complication increased from 18.2% to 40.0% (P = .014); overall complication increased from 45.5% to 70.0% (P = .032); surgical site infection increased from 0.0% to 25.0% (P = .007). There were no significant changes in risk of 6-month mortality across mFIs (P = .115). Multivariate analysis showed that a higher mFI score of ≥3 variables was associated with a significantly higher risk of (1) major complication (P = .025); (2) overall complication (P = .015); (3) surgical site infection (P = .007); and (4) mortality (P = .044).Conclusions:mFI scores of ≥3/11 variables were associated with a higher risk of postoperative morbidity in patients aged ≥80 years undergoing spinal surgery. The mFI-associated risk stratification provides a valuable adjunct in surgical decision making for this rapidly growing subpopulation of patients.

Frailty and spontaneous intracerebral hemorrhage: Does the modified frailty index predict mortality?

ObjectiveThis study aims to elucidate the impact of frailty on spontaneous intracranial hemorrhage (SICH) patient outcomes in the United States. Patients and methodsThis is a single center retrospective chart review of all adult patients (≥18 years old) admitted with a primary diagnosis of SICH due to hypertension, amyloid angiopathy, and coagulopathy from 2014−2017. The studied variables included length of stay, age, sex, ICH score variables, medications, and frailty as measured by the modified Frailty Index (mFI). ResultsA total of 240 patients with 248 SICH were included in the analysis. In this study, mFI was not predictive of overall mortality (p = 0.12). To further investigate this issue, patients with ICH scores of 2 or 3 were separately analyzed to assess the impact of mFI on moderate ICH cases. However, mFI was also not associated with increased hospital mortality in moderate ICH cases (p = 0.812). In bivariate Spearman analysis, mFI significantly correlated with several outcome measures including modified Rankin Scale (MRS) at discharge (p = 0.01), but ICH score also correlated with these outcomes (p < 0.001). Although ICH & mFI scores were both predictive of MRS with linear regression, multivariate demonstrated that the ICH score was the only independent risk factor for MRS (p = 0.698, p < 0.001 respectively). ConclusionFrailty, as measured by the mFI, was not an independent risk factor for increased mortality or worse outcomes in SICH patients. This study does not support incorporating the mFI score for SICH patients for prognostication.