Prognostic Significance of Baseline Frailty Status in Traumatic Spinal Cord Injury

Impact of Frailty on Functional Improvement Following Traumatic Spinal Cord Injury: A Japanese Single-Center Experience

Study Design: This is a retrospective case series study. Objective: The aim of this study was to investigate whether frailty contributes to functional recovery in individuals with spinal cord injury (SCI). Methods: A total of 121 patients with SCI (106 cervical SCI, 15 thoracic SCI) discharged from our center over the past three years were studied. Moreover, 11-factor modified frailty index (mFI) scores, the length of hospital stays, the rate of returning home, and improvement in Spinal Cord Independence Measure (SCIM) scores were assessed retrospectively. Results: The average age at the time of injury for all 121 cases was 59.6 years. Based on pre-injury assessments, 24 cases were categorized as the Frail group, and 97 cases were categorized as the Robust group. The Frail group had SCIM improvement rates of 16.7% and a home discharge rate of 45.8%. In contrast, the Robust group had SCIM improvement rates of 33.5% and a home discharge rate of 68.0%, with statistically significant differences between the two groups. A significant negative correlation was observed between mFI scores and SCIM improvement rates (R = -0.231, p = 0.014). Conclusions: This study suggests that individuals with pre-existing frailty before SCI experience poorer SCIM improvement rates and face challenges in returning home.

The frailty-driven predictive model for failure to rescue among patients who experienced a major complication following cervical decompression and fusion: an ACS-NSQIP analysis of 3,632 cases (2011-2020)

BACKGROUND CONTEXT

Preoperative risk stratification for patients considering cervical decompression and fusion (CDF) relies on established independent risk factors to predict the probability of complications and outcomes in order to help guide pre and perioperative decision-making.

PURPOSE

This study aims to determine frailty's impact on failure to rescue (FTR), or when a mortality occurs within 30 days following a major complication.

STUDY DESIGN/SETTING

Cross-sectional retrospective analysis of retrospective and nationally-representative data.

PATIENT SAMPLE

The American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database was queried for all CDF cases from 2011-2020.

OUTCOME MEASURES

CDF patients who experienced a major complication were identified and FTR was calculated as death or hospice disposition within 30 days of a major complication.

METHODS

Frailty was measured by the Risk Analysis Index-Revised (RAI-Rev). Baseline patient demographics and characteristics were compared for all FTR patients. Significant factors were assessed by univariate and multivariable regression for the development of a frailty-driven predictive model for FTR. The discriminative ability of the predictive model was assessed using a receiving operating characteristic (ROC) curve analysis.

RESULTS

There were 3632 CDF patients who suffered a major complication and 7.6% (277 patients) subsequently expired or dispositioned to hospice, the definition of FTR. Independent predictors of FTR were nonelective surgery, frailty, preoperative intubation, thrombosis or embolic complication, unplanned intubation, on ventilator for >48 hours, cardiac arrest, and septic shock. Frailty, and a combination of preoperative and postoperative risk factors in a predictive model for FTR, achieved outstanding discriminatory accuracy (C-statistic = 0.901, CI: 0.883-0.919).

CONCLUSION

Preoperative and postoperative risk factors, combined with frailty, yield a highly accurate predictive model for FTR in CDF patients. Our model may guide surgical management and/or prognostication regarding the likelihood of FTR after a major complication postoperatively with CDF patients. Future studies may determine the predictive ability of this model in other neurosurgical patient populations.

Evaluation of perioperative care and drivers of cost in geriatric thoracolumbar trauma

Introduction

As the population of elderly patients continues to rise, the number of these individuals presenting with thoracolumbar trauma is expected to increase.

Research question

To investigate thoracolumbar fusion outcomes for patients with vertebral fractures as stratified by decade. Secondarily, we examined the variability of cost across age groups by identifying drivers of cost of care.

Materials and methods

We queried the United States Nationwide Inpatient Sample(NIS) for adult patients undergoing spinal fusion for thoracolumbar fractures between 2012 and 2017. Patients were stratified by decade 60-69(sexagenarians), 70-79(septuagenarians) and 80-89(octogenarians). Bivariable analysis followed by multivariable regression was performed to assess independent predictors of length of stay(LOS), hospital cost, and discharge disposition.

Results

A total of 2767 patients were included, of which 46%(N = 1268) were sexagenarians, 36% septuagenarians and 18%(N = 502) octogenarians. Septuagenarians and octogenarians had shorter LOS compared to sexagenarians(ß = -0.88 days; p = 0.012) and(ß = -1.78; p < 0.001), respectively. LOS was reduced with posterior approach(-2.46 days[95% CI: 3.73-1.19]; p < 0.001), while Hispanic patients had longer LOS(+1.97 [95% CI: 0.81-3.13]; p < 0.001). Septuagenarians had lower total charges $12,185.70(p = 0.040), while the decrease in charges in octogenarians was more significant, with a decrease of $26,016.30(p < 0.001) as compared to sexagenarians. Posterior approach was associated with a decrease of $24,337.90 in total charges(p = 0.026). Septuagenarians and octogenarians had 1.72 higher odds(p < 0.001) and 4.16 higher odds(p < 0.001), respectively, of discharge to a skilled nursing facility.

Discussion and conclusions

Healthcare utilization in geriatric thoracolumbar trauma is complex. Cost reductions in the acute hospital setting may be offset by unaccounted costs after discharge. Further research into this phenomenon and observed racial/ethnic disparities must be pursued.

Role of Frailty Status in Prediction of Clinical Outcomes of Traumatic Spinal Injury: A Systematic Review and Meta-Analysis

Although many frailty tools have been used to predict traumatic spinal injury (TSI) outcomes, identifying predictors of outcomes after TSI in the aged population is difficult. Frailty, age, and TSI association are interesting topics of discussion in geriatric literature. However, the association between these variables are yet to be clearly elucidated. We conducted a systematic review to investigate the association between frailty and TSI outcomes. The authors searched Medline, EMBASE, Scopus, and Web of Science for relevant studies. Studies with observational designs that assessed baseline frailty status in individuals suffering from TSI published from inception until 26th March 2023 were included. Length of hospital stay (LoS), adverse events (AEs), and mortality were the outcomes of interest. Of the 2425 citations, 16 studies involving 37,640 participants were included. The modified frailty index (mFI) was the most common tool used to assess frailty. Meta-analysis was employed only in studies that used mFI for measuring frailty. Frailty was significantly associated with increased in-hospital or 30-day mortality (pooled odds ratio [OR]: 1.93 [1.19; 3.11]), non-routine discharge (pooled OR: 2.44 [1.34; 4.44]), and AEs or complications (pooled OR: 2.00 [1.14; 3.50]). However, no significant relationship was found between frailty and LoS (pooled OR: 3.02 [0.86; 10.60]). Heterogeneity was observed across multiple factors, including age, injury level, frailty assessment tool, and spinal cord injury characteristics. In conclusion, although there is limited data concerning using frailty scales to predict short-term outcomes after TSI, the results showed that frailty status may be a predictor of in-hospital mortality, AEs, and unfavorable discharge destination.

Comparison of 5-Item and 11-Item Modified Frailty Index as Predictors of Functional Independence in Patients With Spinal Cord Injury

STUDY DESIGN

Retrospective Cohort Study.

INTRODUCTION

The 11-item modified Frailty index (mFI-11) by the ACS-NSQIP database was used to predict which patients are high risk for complications and inpatient mortality. ACS-NSQIP now has switched to the 5-item MFI. However, there are no studies on how these frailty indices fare against each other and their prognostic value of functional independence in patients with spinal cord injury (SCI).

OBJECTIVE

To compare the mFI-5 and mFI-11 in order to standardize frailty assessment in the SCI population.

METHODS

Retrospective analysis of 272,174 patients with SCI from 2010 to 2020 from the Pennsylvania Trauma Systems Foundation (PTSF) registry. Multivariable logistic regression was used to determine the predictive value of mFI for functional independence as determined by locomotion and transfer mobility.

RESULTS

A total of 1907 patients were included with a mean age of 46.9 ± 15.1 years. The 3 most common MFI factors were hypertension (32.2%), diabetes mellitus (13.7%) and chronic obstructive pulmonary disease (8.5%). Multivariable logistic regression analyses using MFI-5 and MFI-11 showed that a higher frailty score in MFI-5 (OR 1.375, P < .001) and in MFI-11 (OR 1.366, P < .001) were each predictive of poor functional status at discharge. ROC curves for the MFI-5 (AUC = .818, P < .001) and MFI-11 (AUC = .819, P < .001) demonstrated excellent diagnostic accuracy.

CONCLUSION

The new MFI-5 is equivalent to its predecessor, the MFI-11, and predictive of functional outcomes in patients with SCI. MFI-5 can serve as the preferred frailty index at the point of care and in research contexts.

A simplified frailty index and nomogram to predict the postoperative complications and survival in older patients with upper urinary tract urothelial carcinoma

Purpose

This study was designed to investigate the clinical value of a simplified five-item frailty index (sFI) for predicting short- and long-term outcomes in older patients with upper urinary tract urothelial carcinoma (UTUC) patients after radical nephroureterectomy (RNU).

Method

This retrospective study included 333 patients (aged ≥65 years) with UTUC. Patients were classified into five groups: 0, 1, 2, 3, and 3+, according to sFI score. The variable importance and minimum depth methods were used to screen for significant variables, and univariable and multivariable logistic regression models applied to investigated the relationships between significant variables and postoperative complications. Survival differences between groups were analyzed using Kaplan-Meier plots and log-rank tests. Cox proportional hazards regression was used to evaluate risk factors associated with overall survival (OS) and cancer-specific survival (CSS). Further, we developed a nomogram based on clinicopathological features and the sFI. The area under the curve (AUC), Harrel's concordance index (C-index), calibration curve, and decision curve analysis (DCA) were used to evaluate the nomogram.

Result

Of 333 cases identified, 31.2% experienced a Clavien-Dindo grade of 2 or greater complication. Random forest-logistic regression modeling showed that sFI significantly influenced the incidence of postoperative complications in older patients (AUC= 0.756). Compared with patients with low sFI score, those with high sFI scores had significantly lower OS and CSS (p < 0.001). Across all patients, the random survival forest-Cox regression model revealed that sFI score was an independent prognostic factor for OS and CSS, with AUC values of 0.815 and 0.823 for predicting 3-year OS and CSS, respectively. The nomogram developed was clinically valuable and had good ability to discriminate abilities for high-risk patients. Further, we developed a survival risk classification system that divided all patients into high-, moderate-, and low-risk groups based on total nomogram points for each patient.

Conclusion

A simple five-item frailty index may be considered a prognostic factor for the prognosis and postoperative complications of UTUC following RNU. By using this predictive model, clinicians may increase their accuracy in predicting complications and prognosis and improve preoperative decision-making.

Assessment of the incremental prognostic value from the modified frailty index-5 in complete traumatic cervical spinal cord injury

Frailty, as measured by the modified frailty index-5 (mFI-5), and older age are associated with increased mortality in the setting of spinal cord injury (SCI). However, there is limited evidence demonstrating an incremental prognostic value derived from patient mFI-5. We conducted a retrospective cohort study to evaluate in-hospital mortality among adult complete cervical SCI patients at participating centers of the Trauma Quality Improvement Program from 2010 to 2018. Logistic regression was used to model in-hospital mortality, and the area under the receiver operating characteristic curve (AUROC) of regression models with age, mFI-5, or age with mFI-5 was used to compare the prognostic value of each model. 4733 patients were eligible. We found that both age (80 y versus 60 y: OR 3.59 95% CI [2.82 4.56], P < 0.001) and mFI-5 (score ≥ 2 versus < 2: OR 1.53 95% CI [1.19 1.97], P < 0.001) had statistically significant associations with in-hospital mortality. There was no significant difference in the AUROC of a model including age and mFI-5 when compared to a model including age without mFI-5 (95% CI Δ AUROC [- 8.72 × 10^-4 0.82], P = 0.199). Both models were superior to a model including mFI-5 without age (95% CI Δ AUROC [0.06 0.09], P < 0.001). Our findings suggest that mFI-5 provides minimal incremental prognostic value over age with respect to in-hospital mortality for patients complete cervical SCI.

Improving translatability of spinal cord injury research by including age as a demographic variable

Pre-clinical and clinical spinal cord injury (SCI) studies differ in study design, particularly in the demographic characteristics of the chosen population. In clinical study design, criteria such as such as motor scores, neurological level, and severity of injury are often key determinants for participant inclusion. Further, demographic variables in clinical trials often include individuals from a wide age range and typically include both sexes, albeit historically most cases of SCI occur in males. In contrast, pre-clinical SCI models predominately utilize young adult rodents and typically use only females. While it is often not feasible to power SCI clinical trials to test multi-variable designs such as contrasting different ages, recent pre-clinical findings in SCI animal models have emphasized the importance of considering age as a biological variable prior to human experiments. Emerging pre-clinical data have identified case examples of treatments that diverge in efficacy across different demographic variables and have elucidated several age-dependent effects in SCI. The extent to which these differing or diverging treatment responses manifest clinically can not only complicate statistical findings and trial interpretations but also may be predictive of worse outcomes in select clinical populations. This review highlights recent literature including age as a biological variable in pre-clinical studies and articulates the results with respect to implications for clinical trials. Based on emerging unpredictable treatment outcomes in older rodents, we argue for the importance of including age as a biological variable in pre-clinical animal models prior to clinical testing. We believe that careful analyses of how age interacts with SCI treatments and pathophysiology will help guide clinical trial design and may improve both the safety and outcomes of such important efforts.