The 5 and 11 Factor Modified Frailty Indices are Equally Effective at Outcome Prediction Using TQIP

Impact of Procedure Risk vs Frailty on Outcomes of Elderly Patients Undergoing Emergency General Surgery: Results of a National Analysis

BACKGROUND

The direct association between procedure risk and outcomes in elderly patients who undergo emergency general surgery (EGS) has not been analyzed. Studies only highlight the importance of frailty. A comprehensive analysis of relevant risk factors and their association with outcomes in elderly patients who undergo EGS is lacking. We hypothesized that procedure risk has a stronger association with relevant outcomes in elderly patients who undergo EGS compared with frailty.

STUDY DESIGN

Elderly patients (age >65 years) undergoing EGS operative procedures were identified in the NSQIP database (2018 to 2020) and stratified based on the presence of frailty calculated by the Modified 5-Item Frailty Index (mFI-5; mFI 0 nonfrail, mFI 1 to 2 frail, and mFI ≥3 severely frail) and based on procedure risk. Multivariable regression models and receiving operative curve analysis were used to determine risk factors associated with outcomes.

RESULTS

A total of 59,633 elderly patients who underwent EGS were classified into nonfrail (17,496; 29.3%), frail (39,588; 66.4%), and severely frail (2,549; 4.3%). There were 25,157 patients in the low-risk procedure group and 34,476 in the high-risk group. Frailty and procedure risk were associated with increased mortality, complications, failure to rescue, and readmissions. Differences in outcomes were greater when patients were stratified according to procedure risk compared with frailty stratification alone. Procedure risk had a stronger association with relevant outcomes in elderly patients who underwent EGS compared with frailty.

CONCLUSIONS

Assessing frailty in the population of elderly patients who undergo EGS without adjusting for the type of procedure or procedure risk ultimately presents an incomplete representation of how frailty impacts patient-related outcomes.

The impact of frailty on long-term functional outcomes in severely injured geriatric patients

BACKGROUND

The incidence of severe injury in the geriatric population is increasing. However, the impact of frailty on long-term outcomes after injury in this population remains understudied. Therefore, we aimed to understand the impact of frailty on long-term functional outcomes of severely injured geriatric patients.

METHODS

We conducted a retrospective cohort study, including patients ≥65 years old with an Injury Severity Score ≥15, who were admitted between December 2015 and April 2022 at one of 3 level 1 trauma centers in our region. Patients were contacted between 6 and 12 months postinjury and administered a trauma quality of life survey, which assessed for the presence of new functional limitations in their activities of daily living. We defined frailty using the mFI-5 validated frailty tool: patients with a score ≥2 out of 5 were considered frail. The impact of frailty on long-term functional outcomes was assessed using 1:1 propensity matching adjusting for patient characteristics, injury characteristics, and hospital site.

RESULTS

We included 580 patients, of whom 146 (25.2%) were frail. In a propensity-matched sample of 125 pairs, frail patients reported significantly higher functional limitations than nonfrail patients (69.6% vs 47.2%; P < .001). This difference was most prominent in the following activities: climbing stairs, walking on flat surfaces, going to the bathroom, bathing, and cooking meals. In a subgroup analysis, frail patients with traumatic brain injuries experienced significantly higher long-term functional limitations.

CONCLUSION

Frail geriatric patients with severe injury are more likely to have new long-term functional outcomes and may benefit from screening and postdischarge monitoring and rehabilitation services.

The Effect of Frailty in Predicting Outcomes of Rib Fractures Among Elderly Patients

INTRODUCTION

Rib fractures are consequential injuries for geriatric trauma patients. Frailty has been associated with adverse outcomes in this population. The Rib Fracture Frailty Index (RFF) and 5-factor modified Frailty Index (mFI) are 2 validated frailty metrics. Research assessing inclusion of frailty metrics in geriatric rib fractures triage protocols is limited.

METHODS

A retrospective cohort study was performed for trauma patients ≥50 years old with rib fractures admitted to a Level I trauma center, which currently uses percent predicted forced vital capacity (FVC%) to triage rib fractures patients. Frailty metrics (RFF & mFI) were calculated retrospectively, stratifying patients as low, moderate, or severe frailty. Unfavorable discharge disposition (UDD) was defined as discharge to facility or death. Unadjusted and adjusted odds ratios were used to assess frailty with outcome variables.

RESULTS

In total, 834 patients were included from August 2018 - May 2023, with mean age of 69.1. A majority had low frailty (64.0 vs 40.3%), followed by moderate frailty (21.1 vs 30.7%), then severe frailty (14.9 vs 29.0%) for RFF and mFI, respectively. Age, sex, and ISS differed between groups. For RFF, increased frailty was associated with longer hospital and ICU length of stay. Neither frailty metric was associated with unplanned ICU transfer or intubation. In the adjusted analysis, frail patients were more likely to have UDD (OR 8.9, CI 3.4-23.0, P < .0001).

CONCLUSION

While both frailty metrics were predictive of UDD, neither was associated with ICU transfer or intubation, suggesting that frailty does not enhance the accuracy of our current protocol using FVC%.

Impact of frailty on survival glioblastoma, IDH-wildtype patients

PURPOSE

Frailty increases the risk of mortality among patients. We studied the prognostic significance of frailty using the modified 5-item frailty index (5-mFI) in patients harboring a newly diagnosed supratentorial glioblastoma, IDH-wildtype.

METHODS

We retrospectively reviewed records of patients surgical treated at a single neurosurgical institution at the standard radiochemotherapy era (January 2006 - December 2021). Inclusion criteria were: age ≥ 18, newly diagnosed glioblastoma, IDH-wildtype, supratentorial location, available data to assess the 5-mFI index.

RESULTS

A total of 694 adult patients were included. The median overall survival was longer in the non-frail subgroup (5-mFI < 2, n = 538 patients; 14.3 months, 95%CI 12.5-16.0) than in the frail subgroup (5-mFI ≥ 2, n = 156 patients; 4.7 months, 95%CI 4.0-6.5 months; p < 0.001). 5-mFI ≥ 2 (adjusted Hazard Ratio (aHR) 1.31; 95%CI 1.07-1.61; p = 0.009) was an independent predictor of a shorter overall survival while age ≤ 60 years (aHR 0.78; 95%CI 0.66-0.93; p = 0.007), KPS score ≥ 70 (aHR 0.71; 95%CI 0.58-0.87; p = 0.001), unilateral location (aHR 0.67; 95%CI 0.52-0.87; p = 0.002), total removal (aHR 0.54; 95%CI 0.44-0.64; p < 0.0001), and standard radiochemotherapy protocol (aHR 0.32; 95%CI 0.26-0.38; p < 0.0001) were independent predictors of a longer overall survival. Frailty remained an independent predictor of overall survival within the subgroup of patients undergoing a first-line oncological treatment after surgery (n = 549) and within the subgroup of patients who benefited from a total removal plus adjuvant standard radiochemotherapy (n = 209).

CONCLUSION

In newly diagnosed supratentorial glioblastoma, IDH-wildtype patients treated at the standard combined radiochemotherapy era, frailty, defined using a 5-mFI score ≥ 2 was an independent predictor of overall survival.

Analysis of pre-admission risk factors for unplanned reintubation in geriatric trauma patients

INTRODUCTION

Reintubation in unplanned scenarios, carries inherent risks and potential complications particularly in vulnerable populations such as geriatric trauma patients. We sought to identify preadmission risk factors for unplanned re-intubation (URI) in geriatric trauma patients and its effects on outcomes.

METHODS

Analysis of TQIP (2017-2019) of intubated geriatric trauma patients, classified into two groups, those who were successfully extubated and those who required URI. We used logistic regression to assess for preadmission risk factors of URI.

RESULTS

Among 23,572 patients, 20.2 ​% underwent URI. URI had higher mortality (13.7%vs.8.1 ​%, p ​< ​0.001), in-hospital complications (p ​< ​0.05), longer hospital and ICU LOS (p ​< ​0.001 for both). Higher age (OR ​= ​1.017), smoking (OR ​= ​1.418), CRF(OR ​= ​1.414), COPD (OR ​= ​1.410), alcohol use (OR ​= ​1.365), functionally dependent health status (OR ​= ​1.339), and anticoagulant use (OR ​= ​1.148), increased the risks of URI (p ​< ​0.05 for all).

CONCLUSION

Geriatric patients with comorbidities including age, smoking, CRF, COPD, alcohol use, dependent status, and anticoagulant use are at higher risks of URI that could in turn, be associated with increased rates of mortality, complications, and longer hospital and ICU length of stay.

LEVEL OF EVIDENCE

Level III retrospective study.

Frailty is a predictor of immediate postoperative complications following surgical management of knee dislocations

PURPOSE

To assess the utility of frailty in predicting outcomes following surgical intervention for KDs.

METHODS

The NIS database was queried for non-congenital knee dislocations from 2015 to 2019 that underwent ligament repair or surgical reduction. Patients were assigned frailty scores using the mFI-11, and outcomes were compared. Multivariate regression and ROC curve analysis were used to assess the independent association of obesity, frailty, VI, and age with adverse outcomes.

RESULTS

A total of 3797 patients who underwent surgical management were included. Frailty was associated with extended LOS (OR 1.353, 95% CI 1.212-1.510, p < 0.001), adverse discharge (OR 1.716, 95% CI 1.515-1.946, p < 0.001), and complications (OR 1.449, 95% CI 1.352-1.553, p < 0.001). Severely frailty was associated with extended LOS (OR 1.838, 95% CI 1.611-2.097, p < 0.001), adverse discharge (OR 2.756, 95% CI 2.394-3.171, p < 0.001), and complications (OR 1.603, 95% CI 1.453-1.768, p < 0.001). Additionally, VI was a risk factor for extended LOS (OR 7.647 (6.442-9.076) p < 0.001), complications (OR 2.065 (1.810-2.341) p < 0.001), and adverse discharge (OR 1.825 (1.606-2.075), p < 0.001). Obesity was a risk factor for extended LOS (OR 1.599 (1.470-1.739), p < 0.001) and complications (OR 1.235 (1.108-1.377), p < 0.001). AUC analysis showed that frailty was the most accurate predictor of all outcomes when compared to VI, obesity, and age.

CONCLUSIONS

Frailty is superior to age and obesity, and comparable to VI, at predicting adverse outcomes following surgical management of KDs. These findings suggest that frailty assessment might play a role in risk stratification and preoperative planning for KD patients that require surgical intervention.

The Magic Number 63 - Redefining the Geriatric Age for Massive Transfusion in Trauma

INTRODUCTION

The arbitrary geriatric age cutoff of 65 may not accurately define older adults at higher risk of mortality following massive transfusion (MT). We sought to redefine a new geriatric age threshold for MT and understand its association with outcomes.

MATERIAL AND METHODS

The 2013-2018 Trauma Quality Improvement Program database was queried for all adults who received ≥10 units of packed red blood cells (pRBCs) within 24 h of admission. A bootstrap analysis using multiple logistic regression established transfusion futility thresholds (TTs), where additional pRBCs no longer improved mortality for various age cutoffs. The age cutoff at which the TT for those relatively older and relatively younger was statistically significant was used to define the new "geriatric" age for MT. Outcomes were then compared between the newly defined geriatric and nongeriatric patients.

RESULTS

The difference in TT first became significant when the age cutoff was 63 y. The TT for patients aged ≥63 y (new geriatric, n = 2870) versus <63 y (nongeriatric, n = 17,302) was 34 and 40 units of pRBCs, respectively (P = 0.04). Although geriatric patients had a higher Glasgow coma scale score (9 versus 6, P < 0.01) and lower abbreviated injury score-abdomen (3 versus 4, P < 0.01) than the nongeriatric, they suffered higher overall mortality (62% versus 45%, P < 0.01). A lower percentage of geriatric patients were discharged to home (7% versus 35%, P < 0.01).

CONCLUSIONS

The new geriatric age for MT is 63 y, with a TT of 34 units. Despite suffering less severe injuries, physiologically "geriatric" patients have worse outcomes following MT.

Association of frailty with adverse outcomes in surgically treated geriatric patients with hip fracture: A meta-analysis and trial sequential analysis

OBJECTIVE

Some studies have associated frailty and prognostic outcomes in geriatric hip fracture patients, but whether frailty can predict postoperative outcomes remains controversial. This review aims to assess the relationship between frailty and adverse postoperative outcomes in geriatric patients with hip fracture.

METHODS

Based on electronic databases, including PubMed, Embase, Web of Science, Cumulative Index to Nursing and Allied Health Literature, the Cochrane Library, Chinese National Knowledge Infrastructure, and WanFang Data, we systematically searched for studies that investigated the association between frailty and adverse outcomes among patients aged 60 or over after hip fracture surgery. Stata 17.0 and Trial Sequential Analysis viewer software were used to obtain pooled estimates and verify whether the sample size was sufficient and the evidence robust.

RESULTS

Twenty-one studies involving 49,196 patients were included for quantitative analysis. Compared with nonfrail patients, frail patients had a higher risk of inpatient mortality (risk ratio [RR] = 1.93, 95% confidence interval [CI]: 1.66-2.23), 30-day mortality (RR = 2.13, 95% CI: 1.23-3.70), and 1-year mortality (RR = 2.44, 95% CI: 1.47-4.04). Frailty can significantly predict postoperative complications (RR = 1.76, 95% CI: 1.38-2.23), including delirium, pneumonia, cardiac complications, urinary tract infection, and surgical site infection; the association between frailty and deep venous thrombosis/pulmonary embolism and acute kidney injury needs further analysis. Trial sequential analysis showed that the findings regarding mortality were reliable and robust.

CONCLUSION

This meta-analysis provides detailed information indicating that frailty is a substantial predictor of mortality and selected postoperative complications.

Preoperative abnormal bone mineral density as a prognostic indicator in patients undergoing gastrectomy for gastric cancer: A cohort study

Predicting postgastrectomy relapse and mortality in patients with gastric cancer (GC) remains challenging, with limitations to traditional staging systems such as the tumor-node-metastasis (TNM) system. This study aimed to investigate the impact of preoperative Hounsfield unit (HU) values, which serve as a surrogate marker for bone mineral density (BMD), in predicting survival outcomes in patients with GC. A retrospective analysis was conducted on data from patients with GC who underwent curative-intent gastrectomy. Opportunistic abdominopelvic computed tomography images were used to assess HU values at the 3rd lumbar vertebra (L3). These values were then categorized using a cutoff value of 110 HU, which has been established in previous studies as a determinant for abnormal versus normal BMD. Cox regression analysis established predictor models for overall survival (OS). Among 501 initial patients, 478 met the inclusion criteria. Multivariate analyses revealed HU values (hazard ratio, 1.51), along with other factors (the 5-factor modified frailty index, type of gastrectomy, TNM stage, anemia, and serum albumin level), as significant predictors of OS. The full model (FM) incorporating these variables demonstrated superior discrimination ability compared to the baseline model (BM), which is based solely on the TNM stage (concordance index: 0.807 vs 0.709; P < .001). Furthermore, the FM outperformed the BM in predicting OS risks at 36- and 60-months post-surgery. In conclusion, among patients undergoing gastrectomy for GC, those with HU values ≤ 110 (indicating abnormal BMD) at the L3 level, as determined through opportunistic CT scans, exhibited a poorer prognosis than those with HU values > 110 (indicating normal BMD). Integrating HU with other clinicopathological parameters enhances predictive accuracy, facilitating individualized risk stratification and treatment decision-making, which could potentially lead to improved survival outcomes.

Predicting the time of mortality among older adult trauma patients: Is frailty the answer?

INTRODUCTION

This study aims to evaluate the temporal trends of mortality among frail versus non-frail older adult trauma patients during index hospitalization.

METHODS

We performed a 3-year (2017-2019) analysis of ACS-TQIP. We included all older adult (age ≥65 years) trauma patients. Patients were stratified into two groups (Frail vs. Non-Frail). Outcomes were acute (<24 ​h), early (24-72 ​h), intermediate (72 hours-1 week), and late (>1 week) mortality.

RESULTS

A total of 1,022,925 older adult trauma patients were identified, of which 19.7 ​% were frail. The mean(SD) age was 77(8) years and 57.4 ​% were female. Median[IQR] ISS was 9[4-10] and both groups had comparable injury severity (p ​= ​0.362). On multivariable analysis, frailty was not associated with acute (aOR 1.034; p ​= ​0.518) and early (aOR 1.190; p ​= ​0.392) mortality, while frail patients had independently higher odds of intermediate (aOR 1.269; p ​= ​0.042) and late (aOR 1.835; p ​< ​0.001) mortality. On sub-analysis, our results remained consistent in mild, moderate, and severely injured patients.

CONCLUSION

Frailty is an independent predictor of mortality in older adult trauma patients who survive the initial 3 days of admission, regardless of injury severity.

Does frailty impact failure-to-rescue in geriatric trauma patients?

BACKGROUND

Failure-to-rescue (FTR), defined as death following a major complication, is a metric of trauma quality. The impact of patient frailty on FTR has not been fully investigated, especially in geriatric trauma patients. This study hypothesized that frailty increased the risk of FTR in geriatric patients with severe injury.

METHODS

A retrospective cohort study was conducted using the TQIP database between 2015 and 2019, including geriatric patients with trauma (age ≥65 years) and an Injury Severity Score (ISS) > 15, who survived ≥48 hours postadmission. Frailty was assessed using the modified 5-item frailty index (mFI). Patients were categorized into frail (mFI ≥ 2) and nonfrail (mFI < 2) groups. Logistic regression analysis and a generalized additive model (GAM) were used to examine the association between FTR and patient frailty after controlling for age, sex, type of injury, trauma center level, ISS, and vital signs on admission.

RESULTS

Among 52,312 geriatric trauma patients, 34.6% were frail (mean mFI: frail: 2.3 vs. nonfrail: 0.9, p < 0.001). Frail patients were older (age, 77 vs. 74 years, p < 0.001), had a lower ISS (19 vs. 21, p < 0.001), and had a higher incidence of FTR compared with nonfrail patients (8.7% vs. 8.0%, p = 0.006). Logistic regression analysis revealed that frailty was an independent predictor of FTR (odds ratio, 1.32; confidence interval, 1.23-1.44; p < 0.001). The GAM plots showed a linear increase in FTR incidence with increasing mFI after adjusting for confounders.

CONCLUSION

This study demonstrated that frailty independently contributes to an increased risk of FTR in geriatric trauma patients. The impact of patient frailty should be considered when using FTR to measure the quality of trauma care.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level IV.

From admission to vaccination: COVID-19 vaccination patterns and their relationship with hospitalization in trauma patients

BACKGROUND

COVID-19 vaccination rates in the hospitalized trauma population are not fully characterized and may lag behind the general population. This study aimed to outline COVID-19 vaccination trends in hospitalized trauma patients and examine how hospitalization influences COVID-19 vaccination rates.

METHODS

We conducted a retrospective institutional study using our trauma registry paired with the COVID-19 vaccination ENCLAVE registry. We included patients ≥18 years admitted between April 21, 2021 and November 30, 2022. Our primary outcome was the change in vaccination posthospitalization, and secondary analyzed outcomes included temporal trends of vaccination in trauma patients and predictors of non-vaccination. We compared pre and posthospitalization weekly vaccination rates. We performed joinpoint regression to depict temporal trends and multivariate regression for predictors of nonvaccination.

RESULTS

The rate of administration of the first vaccine dose increased in the week after hospitalization (P = .018); however, this increase was not sustained in the following weeks. The percentage of unvaccinated patients declined faster in the general population in Massachusetts compared to the hospitalized trauma population. By the conclusion of the study, 27.1% of the trauma population was unvaccinated, whereas <5% of the Massachusetts population was unvaccinated. Urban residence, having multiple hospitalizations, and experiencing moderate to severe frailty were associated with vaccination. Conversely, being in the age groups 18 to 45 years and 46 to 64 years, as well as having Medicaid or self-pay insurance, were linked to being unvaccinated.

CONCLUSION

Hospitalization initially increased the rate of administration of the first vaccine dose in trauma patients, but the effect was not sustained. By the conclusion of the study period, a greater percentage of trauma patients were unvaccinated compared to the general population of Massachusetts. Strategies for sustained health care integration need to be developed to address this ongoing challenge in the high-risk trauma population.

Age-Adjusted Modified Frailty Index: Association With Hip Fracture Discharge Functional Dependence

INTRODUCTION

Hip fractures are a common traumatic injury that carry significant morbidity and mortality, and prognostication of functional outcome is becoming increasingly salient. Across multiple surgical specialties, the five-item and 11-item Modified Frailty Index (mFI-5 and mFI-11) have been found to be convenient, quick, and sensitive tools for identifying patients at risk for perioperative complications. A prior study described the superiority of an Age-Adjusted Modified Frailty Index (aamFI) for predicting perioperative complications compared to the mFI-5 in an elective hip surgery. We sought to externally validate the aamFI in a multicenter hip fracture cohort and hypothesize that these risk scores would not only predict functional dependence (FD) at discharge, but that the aamFI would outperform the mFI-5 and mFI-11.

METHODS

The Pennsylvania Trauma Systems Foundation registry was queried from 2010 to 2020 for CPT codes, ICD-9 and ICD-10 codes pertaining to hip fracture patients. Patients with missing locomotion and transfer mobility data were excluded. FD status was determined by discharge locomotion and transfer mobility scores per existing methodology. Univariable and Multivariable analysis as well as receiver operator characteristic curves were used to evaluate and compare the three indices for prediction of functional status at discharge. P value < 0.05 was considered significant.

RESULTS

Twelve thousand seven hundred and forty patients met inclusion criteria (FD: 8183; functional independent 4557). On univariable logistic regression analysis, the mFI-11 (odds ratio [OR] 1.52, 95% confidence interval [CI] 1.47-1.58, P < 0.05), mFI-5 (OR 1.57, 95% CI 1.51-1.63), and aamFI (OR 1.57, 95% CI 1.52-1.62, P < 0.05) were associated with FD. On multivariable logistic regression analysis for predictors of FD, when controlling for age (for the mFI-11 and mFI-5), sex, injury severity score, and admission vitals (systolic blood pressure and respiratory rate), higher mFI-11 and mFI-5 scores independently predicted FD at discharge (OR 1.23, 95% CI 1.18-1.28, P < 0.05 and OR 1.23, 95% CI 1.18-1.29P < 0.05 respectively). Higher aaMFI scores had superior association with functional dependence (OR 1.59, 95% CI 1.54-1.64, P < 0.05). Receiver operator characteristic curves for the mFI-11, mFI-5, and aaMFI showed comparable diagnostic strength (area under curve [AUC] = 0.63 95% CI 0.62-0.64, P < 0.05; AUC = 0.63 95% CI 0.62-0.64, P < 0.05; and AUC = 0.67 95% CI 0.65-0.67, P < 0.05 respectively).

CONCLUSIONS

The mFI-11, mFI-5, and aamFI are predictive of functional outcome following hip fracture. By including age, the aamFI retains the ease of use of the mFI-5 while improving its prognostic utility for functional outcome.

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.

Transfusion futility thresholds and mortality in geriatric trauma: Does frailty matter?

BACKGROUND

Data on massive transfusion (MT) in geriatric trauma patients is lacking. This study aims to determine geriatric transfusion futility thresholds (TT) and TT variations based on frailty.

METHODS

Patients from 2013 to 2018 TQIP database receiving MT were stratified by age and frailty. TTs and outcomes were compared between geriatric and younger adults and among geriatric adults based on frailty status.

RESULTS

The TT was lower for geriatric than younger adults (34 vs 39 units; p ​= ​0.03). There was no difference in TT between the non-frail, frail, and severely frail geriatric adults (37, 30 and 25 units, respectively, p ​> ​0.05). Geriatric adults had higher mortality than younger adults (63.1% vs 45.8%, p < 0.01). Non-frail geriatric adults had the highest mortality (69.4% vs 56.5% vs 56.2%, p < 0.01).

CONCLUSIONS

Geriatric patients have a lower TT than younger adults, irrespective of frailty. This may help improve outcomes and optimize MT utilization.

Outcomes of Geriatric Burn Patients Presenting to the Trauma Service: How Does Frailty Factor in?

INTRODUCTION

Frailty has been known to negatively affect the outcomes of geriatric trauma patients. However, there is a lack of data on the effect of frailty on the outcomes of geriatric trauma patients with concomitant burn injuries. The aim of our study was to compare the outcomes of frail versus nonfrail geriatric trauma patients with concomitant burn injuries.

METHODS

We performed a retrospective analysis of American College of Surgeons Trauma Quality Improvement Program (2018). We included geriatric (≥65 y) trauma patients who sustained a concomitant burn injury with ≥10% Total Body Surface Area affected. Patients with body region-specific AIS ≥4 were excluded. Patients were stratified into Frail and Nonfrail, using 5-factor modified Frailty Index. Primary outcomes measured were mortality. Secondary outcomes measured were complications, and hospital and intensive care unit (ICU) length of stay (LOS). Multivariable logistic regression was performed to identify independent predictors of mortality.

RESULTS

A total of 574 patients were identified, of which 172(30%) were Frail. Mean age was 74 ± 7 y and median [interquartile range] ISS was 3[1-10]. Overall, the rate of mortality was 23% and median hospital LOS was 14[3-31]. After controlling for potential confounding factors, frailty was not identified as an independent predictor of mortality (adjusted odds ratio:1.059, P = 0.93) and complications (adjusted odds ratio:1.10, P = 0.73). However, frail patients had longer hospital (β: 5.01, P = 0.002) and ICU LOS (β: 2.12, P < 0.001).

CONCLUSIONS

Among geriatric trauma patients with concomitant burn injuries, frailty is associated with longer hospital and ICU LOS, and higher rates of thrombotic complications, but not higher mortality or overall complications. Future research should investigate the impact of early assessment of frailty as well as tailored interventions on outcomes in this population.

Geriatric trauma, frailty, and ACS trauma center verification level: Are there any correlations with outcomes?

INTRODUCTION

It remains unclear whether geriatrics benefit from care at higher-level trauma centers (TCs). We aimed to assess the impact of the TC verification level on frail geriatric trauma patients' outcomes. We hypothesized that frail patients cared for at higher-level TCs would have improved outcomes.

STUDY DESIGN

Patients ≥65 years were identified from the Trauma Quality Improvement Program (TQIP) database (2017-2019). Patients transferred, discharged from emergency department (ED), and those with head abbreviated injury scale >3 were excluded. 11-factor modified frailty index was utilized. Propensity score matching (1:1) was performed. Outcomes included discharge to skilled nursing facility or rehab (SNF/rehab), withdrawal of life-supporting treatment (WLST), mortality, complications, failure-to-rescue, intensive care unit (ICU) admission, hospital length of stay (LOS), and ventilator days.

RESULTS

110,680 patients were matched (Frail:55,340, Non-Frail:55,340). Mean age was 79 (7), 90% presented following falls, and median ISS was 5 [2-9]. Level-I/II TCs had lower rates of discharge to SNF/rehab (52.6% vs. 55.8% vs. 60.9%; p < 0.001), failure-to-rescue (0.5% vs. 0.4% vs. 0.6%;p = 0.005), and higher rates of WLST (2.4% vs. 2.1% vs. 0.3%; p < 0.001) compared to level-III regardless of injury severity and frailty. Compared to Level-III centers, Level-I/II centers had higher complications among moderate-to-severely injured patients (4.1% vs. 3.3% vs. 2.7%; p < 0.001), and lower mortality only among frail patients regardless of injury severity (1.8% vs. 1.5% vs. 2.6%; p < 0.001). Patients at Level-I TCs were more likely to be admitted to ICU, and had longer hospital LOS and ventilator days compared to Level-II and III TCs (p < 0.05).

CONCLUSION

Frailty may play an important role when triaging geriatric trauma patients. In fact, the benefit of care at higher-level TCs is particularly evident for patients who are frail. Level III centers may be underperforming in providing access to palliative and end-of-life care.

Frailty Is Associated With Decreased Survival in Adult Patients With Nonoperative and Operative Traumatic Subdural Hemorrhage: A Retrospective Cohort Study of 381,754 Patients

Objective

We investigated frailty's impact on traumatic subdural hematoma (tSDH), examining its relationship with major complications, length of hospital stay (LOS), mortality, high level of care discharges, and survival probabilities following nonoperative and operative management.

Background

Despite its frequency as a neurosurgical emergency, frailty's impact on tSDH remains underexplored. Frailty characterized by multisystem impairments significantly predicts poor outcomes, necessitating further investigation.

Methods

A retrospective study examining tSDH patients ≥18 years and assigned an abbreviated injury scale score ≥3, and entered into ACS-TQIP between 2007 and 2020. We employed multivariable analyses for risk-adjusted associations of frailty and our outcomes, and Kaplan-Meier plots for survival probability.

Results

Overall, 381,754 tSDH patients were identified by mFI-5 as robust-39.8%, normal-32.5%, frail-20.5%, and very frail-7.2%. There were 340,096 nonoperative and 41,658 operative patients. The median age was 70.0 (54.0-81.0) nonoperative, and 71.0 (57.0-80.0) operative cohorts. Cohorts were predominately male and White. Multivariable analyses showed a stepwise relationship with all outcomes P < 0.001; 7.1% nonoperative and 14.9% operative patients had an 20% to 46% increased risk of mortality, that is, nonoperative: very frail (HR: 1.20 [95% CI: 1.13-1.26]), and operative: very frail (HR: 1.46 [95% CI: 1.38-1.55]). There were precipitous reductions in survival probability across mFI-5 strata.

Conclusion

Frailty was associated with major complications, LOS, mortality, and high level care discharges in a nationwide population of 381,754 patients. While timely surgery may be required for patients with tSDH, rapid deployment of point-of-care risk assessment for frailty creates an opportunity to equip physicians in allocating resources more precisely, possibly leading to better outcomes.

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.

The impact of antibiotic and proton pump inhibitor use at the time of adjuvant platinum-based chemotherapy on survival in patients with endometrial cancer

OBJECTIVE

We sought to assess the impact of antibiotic (ABX) and proton-pump inhibitor (PPI) use on progression-free (PFS) and overall survival (OS) in patients treated with adjuvant platinum-based chemotherapy (PC) for endometrial cancer (EC).

METHODS

A retrospective, single-institution cohort study of EC patients treated with ≥four cycles of adjuvant PC following surgical staging from 2014 to 2020. Demographics and clinicopathologic features, including ABX and PPI use, were compared using χ2 and Fisher's exact tests. Univariate and multivariable analyses were performed, and survival outcomes were compared using the log-rank test.

RESULTS

Of 325 patients, 95 (29%) received ABX, and 80 (24.6%) received PPI. ABX were associated with decreased 3-year PFS (49.9% vs. 66%; p = 0.0237) but not 3-year OS (68.9% vs. 79.9%; p = 0.0649). ABX targeting gram-positive bacteria were associated with decreased 3-year PFS (21.2% vs. 66.0% vs. 55.4%; p = 0.0038) and 3-year OS (36.5% vs. 79.9% vs. 75.6%; p = 0.0014) compared to no ABX and other ABX, respectively. PPI use was associated with decreased 3-year PFS (46.9% vs. 66.0%; p = 0.0001) and 3-year OS (60.7% vs. 81.9%; p = 0.0041) compared to no PPI. On multivariable regression analysis controlling for confounders including stage, histology, grade, radiation, and co-morbidities, PPI use was independently associated with worse PFS (HR 1.96, 95% CI 1.25-3.08; p = 0.0041) and OS (HR 2.06, 95% CI 1.01-4.18, p = 0.04).

CONCLUSION

In this retrospective cohort study, we demonstrate that PPI use is independently associated with worse PFS and OS in patients with EC treated with PC. ABX use was associated with worse PFS on univariate analysis only. There is an unmet need to understand how PPI, ABX, and, potentially, the microbiome impact the effectiveness of chemotherapy in EC patients.

The impact of frailty on ventral hernia repair outcomes in a statewide database

INTRODUCTION

Preoperative frailty is a strong predictor of postoperative morbidity in the general surgery population. Despite this, there are a paucity of research examining the effect of frailty on outcomes after ventral hernia repair (VHR), one of the most common abdominal operations in the USA. We examined the association of frailty with short-term postoperative outcomes while accounting for differences in preoperative, operative, and hernia characteristics.

METHODS

We retrospectively reviewed the Michigan Surgery Quality Collaborative Hernia Registry (MSQC-HR) for adult patients who underwent VHR between January 2020 and January 2022. Patient frailty was assessed using the validated 5-factor modified frailty index (mFI5) and categorized as follows: no (mFI5 = 0), moderate (mFI5 = 1), and severe frailty (mFI5 ≥ 2). Our primary outcome was any 30-day complication. Multivariable logistic regression was used to evaluate the association of frailty with outcomes while controlling for patient, operative, and hernia variables.

RESULTS

A total of 4406 patients underwent VHR with a mean age (SD) of 55 (15) years, 2015 (46%) females, and 3591 (82%) white patients. The mean (SD) BMI of the cohort was 33 (8) kg/m2. A total of 2077 (47%) patients had no frailty, 1604 (36%) were moderately frail, and 725 (17%) were severely frail. The median hernia size (interquartile range) was 2.5 cm (1.5-4.0 cm). Severe frailty was associated with increased odds of any complication (adjusted Odds Ratio (aOR) 3.12, 95% CI 1.78-5.47), serious complication (aOR 5.25, 95% CI 2.17-13.19), SSI (aOR 3.41, 95% CI 1.58-7.34), and post-discharge adverse events (aOR 1.70, 95% CI 1.24-2.33).

CONCLUSION

After controlling for patient, operative, and hernia characteristics, frailty was independently associated with increased odds of postoperative complications. These findings highlight the importance of preoperative frailty assessment for risk stratification and to inform patient counseling.

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.

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.

Comparison of Frailty Indices and the Charlson Comorbidity Index in Traumatic Brain Injury

BACKGROUND

Comorbidity scales for outcome prediction in traumatic brain injury (TBI) include the 5-component modified Frailty Index (mFI-5), the 11-component modified Frailty Index (mFI-11), and the Charlson Comorbidity Index (CCI).

OBJECTIVE

To compare the accuracy in predicting clinical outcomes in TBI of mFI-5, mFI-11, and CCI.

METHODS

The National Trauma Data Bank (NTDB) of the American College of Surgeons (ACS) was utilized to study patients with isolated TBI for the years of 2017 and 2018. After controlling for age and injury severity, individual multivariable logistic regressions were conducted with each of the 3 scales (mFI-5, mFI-11, and CCI) against predefined outcomes, including any complication, home discharge, facility discharge, and mortality.

RESULTS

All 3 scales demonstrated adequate internal consistency throughout their individual components (0.63 for mFI-5, 0.60 for CCI, and 0.56 for mFI-11). Almost all studied complications were significantly more likely in frail patients. mFI-5 and mFI-11 had similar areas under the curve (AUC) for all outcomes, while CCI had lower AUCs (0.62-0.61-0.53 for any complication, 0.72-0.72-0.52 for home discharge, 0.78-0.78-0.53 for facility discharge, and 0.71-0.70-0.52 for mortality, respectively).

CONCLUSION

mFI-5 and mFI-11 demonstrated similar accuracy in predicting any complication, home discharge, facility discharge, and mortality in TBI patients across the NTDB. In addition, CCI's performance was poor for the aforementioned metrics. Since mFI-5 is simpler, yet as accurate as the 2 other scales, it may be the most practical both for clinical practice and for future studies with the NTDB.

Is surgical resection predict overall survival in frail patients with glioblastoma, IDH-wildtype?

PURPOSE

We assessed the impact of frailty on surgical outcomes, survival, and functional dependency in elderly patients harboring a glioblastoma, isocitrate dehydrogenase (IDH)-wildtype.

METHODS

We retrospectively reviewed records of old and frail patients surgical treated at a single neurosurgical institution between January 2018 to May 2021. Inclusion criteria were: (1) neuropathological diagnosis of glioblastoma, IDH-wildtype; (2) patient≥65years at the time of surgery; (3) available data to assess the frailty index according to the 5-modified Frailty Index (5-mFI).

RESULTS

A total of 47 patients were included. The 5-mFI was at 0 in 11 cases (23.4%), at 1 in 30 cases (63.8%), at 2 in two cases (4.2%), at 3 in two cases (4.2%), and at 4 in two cases (4.2%). A gross total resection was performed in 26 patients (55.3%), a subtotal resection was performed in 13 patients (27.6%), and a biopsy was performed in 8 patients (17.1%). The rate of 30-day postoperative complications was higher in the biopsy subgroup and in the 5-mFI=4 subgroup. Gross total resection and age≤70years were independent predictors of a longer overall survival. Sex, 5-mFI, postoperative complications, and preoperative Karnofsky Performance Status score did not influence overall survival and functional dependency.

CONCLUSION

In patients≥65years harboring a glioblastoma, IDH-wildtype, gross total resection remains an independent predictor of longer survival and good postoperative functional recovery. The frailty, assessed by the 5-mFI score, does not influence surgery and outcomes in this dataset. Further confirmatory analyses are required.

Higher Hospital Frailty Risk Score is associated with increased complications and healthcare resource utilization after endovascular treatment of ruptured intracranial aneurysms

AIM

To use the Hospital Frailty Risk Score (HFRS) to investigate the impact of frailty on complication rates and healthcare resource utilization in patients who underwent endovascular treatment of ruptured intracranial aneurysms (IAs).

METHODS

A retrospective cohort study was performed using the 2016-2019 National Inpatient Sample database. All adult patients (≥18 years) undergoing endovascular treatment for IAs after subarachnoid hemorrhage were identified using ICD-10-CM codes. Patients were categorized into frailty cohorts: low (HFRS <5), intermediate (HFRS 5-15) and high (HFRS >15). Patient demographics, adverse events, length of stay (LOS), discharge disposition, and total cost of admission were assessed. Multivariate logistic regression analysis was used to identify independent predictors of prolonged LOS, increased cost, and non-routine discharge.

RESULTS

Of the 33 840 patients identified, 7940 (23.5%) were found to be low, 20 075 (59.3%) intermediate and 5825 (17.2%) high frailty by HFRS criteria. The rate of encountering any adverse event was significantly greater in the higher frailty cohorts (low: 59.9%; intermediate: 92.4%; high: 99.2%, p<0.001). There was a stepwise increase in mean LOS (low: 11.7±8.2 days; intermediate: 18.7±14.1 days; high: 26.6±20.1 days, p<0.001), mean total hospital cost (low: $62 888±37 757; intermediate: $99 670±63 446; high: $134 937±80 331, p<0.001), and non-routine discharge (low: 17.3%; intermediate: 44.4%; high: 69.4%, p<0.001) with increasing frailty. On multivariate regression analysis, a similar stepwise impact was found in prolonged LOS (intermediate: OR 2.38, p<0.001; high: OR 4.49, p<0.001)], total hospital cost (intermediate: OR 2.15, p<0.001; high: OR 3.62, p<0.001), and non-routine discharge (intermediate: OR 2.13, p<0.001; high: OR 4.17, p<0.001).

CONCLUSIONS

Our study found that greater frailty as defined by the HFRS was associated with increased complications, LOS, total costs, and non-routine discharge.

Case volume and rate are associated with outcomes in geriatric trauma: A case for geriatric trauma centers?

BACKGROUND

Increased morbidity and mortality in geriatric trauma patients are usually due to decreased physiologic reserve and increased comorbidities. It is unclear whether geriatric trauma case volume and rates correlate with survival. We hypothesized that geriatric patients would have increased survival when treated in high-case volume and rate trauma centers.

METHODS

A retrospective cohort study was conducted using the Trauma Quality Improvement Program database between 2015 and 2019. Geriatric trauma patients (≥65 years) with severe injury (Injury Severity Score ≥16) were included. Geriatric case volume (GCV) was defined as the mean annual number of treated geriatric trauma patients, while geriatric case rate (GCR) was the mean annual number of elderly trauma patients divided by all trauma patients in each center. Trauma centers were classified into low-, medium-, and high-volume and rate facilities based on GCV and GCR. The association of GCV and GCR with in-hospital mortality and complication rates was assessed using the generalized additive model (GAM) and multivariate generalized linear mixed model adjusted for patient characteristics (age, sex, Injury Severity Score, Revised Trauma Score, and Modified Frailty Index) as fixed-effect variables and hospital characteristics as random effect variables.

RESULTS

A total of 164,818 geriatric trauma patients from 812 hospitals were included in the analysis. The GAM plots showed that the adjusted odds of in-hospital mortality decreased as GCV and the GCR increased. The generalized linear mixed model revealed that both high GCV and high GCR hospitals had lower mortality rates than low GCV and GCR hospitals (adjusted odds ratio [95% confidence interval], high GCV and high GCR centers; 0.82 [0.72-0.92] and 0.81 [0.73-0.90], respectively).

CONCLUSION

Both high geriatric trauma volume and rates were associated with decreased mortality of geriatric trauma patients. Consolidation of care for elderly patients with severe injury in specialized high-volume centers may be considered.

LEVEL OF EVIDENCE

Therapeutic/Care Management; Level III.

Hospital Frailty Risk Score Predicts Adverse Events and Readmission Following a Ventriculoperitoneal Shunt Surgery for Normal Pressure Hydrocephalus

OBJECTIVE

The aim of this study was to evaluate the impact of a Hospital Frailty Risk Score (HFRS) on unplanned readmission and health care resource utilization in normal pressure hydrocephalus (NPH) patients undergoing a ventriculoperitoneal (VP) shunt surgery.

METHODS

A retrospective cohort study was performed using the 2016-2019 Nationwide Readmission Database. All NPH patients (≥60 years) undergoing a VP shunt surgery were identified using ICD-10-CM diagnostic and procedural codes. Patients were dichotomized into 2 cohorts as follows: Low HFRS (<5) and Intermediate-High HFRS (≥5). A multivariate logistic regression analysis was then used to identify independent predictors of adverse event (AE) and 30- and 90-day readmission.

RESULTS

Of 13,262 patients, 4386 (33.1%) had an Intermediate-High HFRS score. A greater proportion of the Intermediate-High HFRS cohort experienced at least one AE (1.9 vs. 22.1, P < 0.001). The Intermediate-High HFRS cohort also had a longer length of stay (2.3 ± 2.4 days vs. 7.0 ± 7.7 days, P < 0.001), higher non-routine discharge rate (19.9% vs. 39.9%, P < 0.001), and greater admission cost ($14,634 ± 5703 vs. $21,749 ± 15,234, P < 0.001). The Intermediate-High HFRS cohort had higher rates of 30- (7.6% vs. 11.0%, P < 0.001) and 90-day (6.8% vs. 8.3%, P < 0.001) readmissions. On a multivariate regression analysis, Intermediate-High HFRS compared to Low HFRS was an independent predictor of any AE (odds ratio, 16.6; 95% confidence interval, [12.9-21.5]; P < 0.001) and 30-day readmission (odds ratio, 1.4; 95% confidence interval, [1.2-1.7]; P < 0.001).

CONCLUSIONS

Our study suggests that frailty, as defined by HFRS, is associated with increased resource utilization in NPH patients undergoing VP shunt surgery. Furthermore, HFRS was an independent predictor of adverse events and 30-day hospital readmission.

Utility of frailty as a predictor of acute kidney injury in patients with aneurysmal subarachnoid hemorrhage

INTRODUCTION

Acute kidney injury (AKI) is associated with poor outcome in aneurysmal subarachnoid hemorrhage patients (aSAH). Frailty has recently been demonstrated to correlate with elevated mortality and morbidity; its impact on predicting AKI and mortality in aSAH patients has not been investigated.

OBJECTIVE

Evaluating risk factors and predictors for AKI in aSAH patients.

METHODS

aSAH patients from a single-center's prospectively maintained database were retrospectively evaluated for development of AKI within 14 days of admission. Baseline demographic and clinical characteristics were collected. The effect of frailty and other risk factors were evaluated.

RESULTS

Of 213 aSAH patients, 53 (33.1%) were frail and 12 (5.6%) developed AKI. Admission serum creatinine (sCr) and peak sCr within 48 h were higher in frail patients. AKI patients showed a trend towards higher frailty. Mortality was significantly higher in AKI than non-AKI aSAH patients. Frailty was a poor predictor of AKI when controlling for Hunt and Hess (HH) grade or age. HH grade ≥ 4 strongly predicted AKI when controlling for frailty.

CONCLUSION

AKI in aSAH patients carries a poor prognosis. The HH grade appears to have superior utility as a predictor of AKI in aSAH patients than mFI.

Adherence to the TQIP Palliative Care Guidelines Among Patients With Serious Illness at a Level I Trauma Center in the US

Importance

The American College of Surgeons Trauma Quality Improvement Program (TQIP) guidelines encourage trauma service clinicians to deliver palliative care in parallel with life-sustaining treatment and recommend goals of care (GOC) discussions within 72 hours of admission for patients with serious illness.

Objective

To measure adherence to TQIP guidelines-recommended GOC discussions for trauma patients with serious illness, treated at a level I trauma center in the US.

Design, Setting, and Participants

This retrospective cohort study included 674 adults admitted to a trauma service center for 3 or more days between December 2019 and June 2020. The medical records of 486 patients who met the criteria for serious illness using a consensus definition adapted to the National Trauma Data Bank were reviewed for the presence of a GOC discussion. Patients were divided into 2 cohorts based on admission before or after the guidelines were incorporated into the institutional practice guidelines on March 1, 2020.

Main Outcomes and Measures

The primary outcomes were GOC completion within 72 hours of admission and during the overall hospitalization. Patient and clinical factors associated with GOC completion were assessed. Other palliative care processes measured included palliative care consultation, prior advance care planning document, and do-not-resuscitate code status. Additional end-of-life processes (ie, comfort care and inpatient hospice) were measured in a subset with inpatient mortality.

Results

Of 674 patients meeting the review criteria, 486 (72.1%) met at least 1 definition of serious illness (mean [SD] age, 60.9 [21.3] years; mean [SD] Injury Severity Score, 16.9 [12.3]). Of these patients, 328 (67.5%) were male and 266 (54.7%) were White. Among the seriously ill patients, 92 (18.9%) had evidence of GOC completion within 72 hours of admission and 124 (25.5%) during the overall hospitalization. No differences were observed between patients admitted before and after institutional guideline publication in GOC completion within 72 hours (19.0% [47 of 248 patients] vs 18.9% [45 of 238]; P = .99) or during the overall hospitalization (26.2% [65 of 248 patients] vs 24.8% [59 of 238]; P = .72). After adjusting for age, GOC completion was found to be associated with the presence of mechanical ventilation (odds ratio [OR], 6.42; 95% CI, 3.49-11.81) and meeting multiple serious illness criteria (OR, 4.07; 95% CI, 2.25-7.38).

Conclusions and Relevance

The findings of this cohort study suggest that, despite the presence of national guidelines, GOC discussions for patients with serious illness were documented infrequently. This study suggests a need for system-level interventions to ensure best practices and may inform strategies to measure and improve trauma service quality in palliative care.

The Impact of Frailty on Traumatic Brain Injury Outcomes: An Analysis of 691 821 Nationwide Cases

BACKGROUND

Frailty, a decline in physiological reserve, prognosticates poorer outcomes for several neurosurgical conditions. However, the impact of frailty on traumatic brain injury outcomes is not well characterized.

OBJECTIVE

To analyze the association between frailty and traumatic intracranial hemorrhage (tICH) outcomes in a nationwide cohort.

METHODS

We identified all adult admissions for tICH in the National Trauma Data Bank from 2007 to 2017. Frailty was quantified using the validated modified 5-item Frailty Index (mFI-5) metric (range = 0-5), with mFI-5 ≥2 denoting frailty. Analyzed outcomes included in-hospital mortality, favorable discharge disposition, complications, ventilator days, and intensive care unit (ICU) and total length of stay (LOS). Multivariable regression assessed the association between mFI-5 and outcomes, adjusting for patient demographics, hospital characteristics, injury severity, and neurosurgical intervention.

RESULTS

A total of 691 821 tICH admissions were analyzed. The average age was 57.6 years. 18.0% of patients were frail (mFI-5 ≥ 2). Between 2007 and 2017, the prevalence of frailty grew from 7.9% to 21.7%. Frailty was associated with increased odds of mortality (odds ratio [OR] = 1.36, P < .001) and decreased odds of favorable discharge disposition (OR = 0.72, P < .001). Frail patients exhibited an elevated rate of complications (OR = 1.06, P < .001), including unplanned return to the ICU (OR = 1.55, P < .001) and operating room (OR = 1.17, P = .003). Finally, frail patients experienced increased ventilator days (+12%, P < .001), ICU LOS (+11%, P < .001), and total LOS (+13%, P < .001). All associations with death and disposition remained significant after stratification for age, trauma severity, and neurosurgical intervention.

CONCLUSION

For patients with tICH, frailty predicted higher mortality and morbidity, independent of age or injury severity.

Perioperative risk stratification of spine trauma patients with ankylosing spinal disorders: a comparison of 3 quantitative indices

OBJECTIVE

Patients with ankylosing spinal disorders (ASDs), including ankylosing spondylitis (AS) and diffuse idiopathic skeletal hyperostosis (DISH), have been shown to experience significantly increased rates of postoperative complications. Despite this, very few risk stratification tools have been validated for this population. As such, the purpose of this study was to identify predictors of adverse events and mortality in ASD patients undergoing surgery for 3-column fractures.

METHODS

All adult patients with a documented history of AS or DISH who underwent surgery for a traumatic 3-column fracture between 2000 and 2020 were identified. Perioperative variables, including comorbidities, time to diagnosis, and number of fused segments, were collected. Three instruments, including the Charlson Comorbidity Index (CCI), modified frailty index (mFI), and Injury Severity Score (ISS), were computed for each patient. The primary outcomes of interest included 1-year mortality, as well as postoperative complications.

RESULTS

A total of 108 patients were included, with a mean ± SD age of 73 ± 11 years. Of these, 41 (38%) experienced at least 1 postoperative complication and 22 (20.4%) died within 12 months after surgery. When the authors controlled for potential known confounders, the CCI score was significantly associated with postoperative adverse events (OR 1.20, 95% CI 1.00-1.42, p = 0.045) and trended toward significance for mortality (OR 1.19, 95% CI 0.97-1.45, p = 0.098). In contrast, mFI score and ISS were not significantly predictive of either outcome.

CONCLUSIONS

Complications in spine trauma patients with ASD may be driven by comorbidity burden rather than operative or injury-related factors. The CCI may be a valuable tool for the evaluation of this unique population.

Predicting mortality in elderly trauma patients: a review of the current literature

PURPOSE OF REVIEW

Advances in medical care allow patients to live longer, translating into a larger geriatric patient population. Adverse outcomes increase with older age, regardless of injury severity. Age, comorbidities, and physiologic deterioration have been associated with the increased mortality seen in geriatric trauma patients. As such, outcome prediction models are critical to guide clinical decision making and goals of care discussions for this population. The purpose of this review was to evaluate the various outcome prediction models for geriatric trauma patients.

RECENT FINDINGS

There are several prediction models used for predicting mortality in elderly trauma patients. The Geriatric Trauma Outcome Score (GTOS) is a validated and accurate predictor of mortality in geriatric trauma patients and performs equally if not better to traditional scores such as the Trauma and Injury Severity Score. However, studies recommend medical comorbidities be included in outcome prediction models for geriatric patients to further improve performance.

SUMMARY

The ideal outcome prediction model for geriatric trauma patients has not been identified. The GTOS demonstrates accurate predictive ability in elderly trauma patients. The addition of medical comorbidities as a variable in outcome prediction tools may result in superior performance; however, additional research is warranted.

A worse ECOG-PS is associated with 30-day mortality among patients over 90 years old in non-cardiac surgeries: A single-center retrospective study

BACKGROUND

A growing number of older patients are undergoing surgeries. The reliable pre-operative predictive factors of surgical mortality among older patients remained unclear. This study compared the predictive factors for 30-day survival in patients over 90 years old after their non-cardiac surgery.

METHODS

A retrospective study at Nippon Medical School hospital was performed for patients aged >90 years who underwent non-cardiac surgeries between 2010 and 2020. Measurements included age, gender, American Society of Anesthesiologists physical status (ASA-PS), pre-operative Charlson score, pre-operative fall risk assessment, Eastern Cooperative Oncology Group performance status (ECOG-PS), the modified 5-item frailty index (mFI-5), the presence of intra-operative transfusion, post-operative complications, and 30-day survival post-surgery.

RESULTS

A total of 327 cases of elective surgery and 149 cases of emergency surgery were examined. The non-survival group (n=20, 4.2%) had significantly worse pre-operative ASA-PS in emergency cases (non-survival vs. survivor group, 2.8 [2-3] vs. 2.3 [1-4], p=0.045), ECOG-PS (3.0 [2-4] vs. 1.0 [0-4], p<0.001), and mFI-5 values (3.0 [1-4] vs. 1.0 [0-3], p<0.001), more emergency cases (75.0% vs. 36.2%, p=0.004), and a greater need for intra-operative transfusion (55.0% vs. 13.4%, p<0.001). Among the frailty assessment methods, ECOG-PS was the most efficient for 30-day mortality (area under curve, ECOG-PS: 0.98, p<0.001; mFI-5: 0.86, p<0.001; Charlson score: 0.53, p=0.71; fall risk assessment: 0.55, p=0.44). Kaplan-Maier curves and a multivariate logistic regression analysis demonstrated that ECOG-PS>3 was significantly associated with 30-day mortality (ECOG-PS: Kaplan-Maier curve, p<0.001, Log-rank test; odds ratio 1.71, 95%CI: 1.35-2.16, p<0.001).

CONCLUSIONS

After non-cardiac surgery in patients >90 years old, ECOG-PS>3 was significantly correlated with 30-day mortality.

Does the Modified Frailty Index (mFI-5) Predict Adverse Outcomes in Maxillofacial Fracture Repair?

PURPOSE

Frailty has been recognized as a predictor of postoperative adverse outcomes in many surgical subspecialties. The purpose of this study was to evaluate the relationship between frailty and complications in patients undergoing operative repair of facial fractures.

METHODS

The authors utilized the 2011 to 2018 American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) databases to identify patients with facial fractures undergoing operative repair. The primary predictor variable was frailty as measured by the 5-Factor Modified Frailty Index (mFI-5). The primary outcome variable was the postoperative complication rate. Descriptive, bivariate, and multiple logistic regression statistics were utilized to evaluate the relationship between frailty and complications.

RESULTS

During the study period, 4,290 subjects underwent operative repair of a facial fracture. Of these subjects, 4,086 (83.0%) were classified as nonfrail, 626 (12.7%) as moderately frail, and 208 (4.20%) as severely frail. A total of 237 subjects experienced a complication (4.82%), and the incidence of complications increased in a stepwise manner with increasing frailty (P ≤ .001). In multivariate regression, age (P = .050, 95% CI = 1.00 to 1.02), Native Hawaiian/Pacific Islander race (P = .018, 95% CI = 1.23 to 8.63), classification as moderately frail (P = .010, 95% CI = 1.15 to 2.66), classification as severely frail (P = .032, 95% CI = 1.06 to 3.70), mandibular fractures (P = .004, 95% CI = 1.24 to 2.98), and wound classification as contaminated (P ≤ .001, 95% CI = 1.53 to 4.57) or dirty/infected (P = .020, 95% CI = 1.16 to 5.55) were independent predictors of complications. Severely frail subjects also had greater length of hospital admission (P ≤ .001) and higher 30-day readmission rates (P ≤ .001).

CONCLUSIONS

Frailty is an independent predictor of complications following facial fracture repair and is associated with greater length of hospital admission and 30-day readmission rates.

Using the modified frailty index to predict negative outcomes in free-flap breast reconstruction: A National Surgical Quality Improvement Project-based study

BACKGROUND

Post-mastectomy free-flap breast reconstruction is becoming increasingly common in the United States. However, predicting which patients may suffer complications remains challenging. We sought to apply the validated modified frailty index (mFI) to free-flap breast reconstruction in breast cancer patients and determine its utility in predicting negative outcomes.

METHODS

We conducted a retrospective study using National Surgical Quality Improvement Project (NSQIP). All patients who had a CPT code of 19364, indicative of free tissue transfer for breast cancer reconstruction, were included. Data on preoperative characteristics and postoperative outcomes were collected. Patients were separated based on the number of mFI factors present into three categories: 0, 1, and > 2 factors. Preoperative demographics, clinical status, and other comorbidities were also studied. Negative outcomes were compared using multivariate logistic regression.

RESULTS

11,852 patients (mean age 50.9 ± 9.5) were found; 24.2% had complications, comparable to previous literature. mFI is predictive of all types of negative outcomes. 22.5% of all patients with 0 mFI, 27.7% of patients with 1 mFI and 34.2% of patients with at least two mFI had a negative outcome. The most common factors contributing to the mFI were history of hypertension (24.8%) and diabetes (6.1%). mFI was found to be an isolated risk factor for negative outcomes, along with steroid use, American Society of Anesthesiology (ASA) classification, body mass index, and immediate, and bilateral operations.

CONCLUSIONS

This NSQIP-based study for patients undergoing free flap breast reconstruction shows that the mFI holds predictive value regarding negative outcomes. This provides more information to properly counsel patients before free flap breast reconstruction surgery.

Identifying high-risk surgical patients: A study of older adults whose code status changed to Do-Not-Resuscitate

BACKGROUND

There is a paucity of data on older adults (age ≥65 years) undergoing surgery who had an inpatient do-not-resuscitate (DNR) order, and the association between timing of DNR order and outcomes.

METHODS

This was a retrospective analysis of 1976 older adults in the American College of Surgeons National Surgical Quality Improvement Program geriatric-specific database (2014-2018). Patients were stratified by institution of a DNR order during their surgical admission ("new-DNR" vs. "no-DNR"), and matched by age (±3 years), frailty score (range: 0-1), and procedure. The main outcome of interest was occurrence of death or hospice transition (DoH) ≤30 postoperative days; this was analyzed using bivariate and multivariable methods.

RESULTS

One in 36 older adults had a new-DNR order. After matching, there were 988 new-DNR and 988 no-DNR patients. Median age and frailty score were 82 years and 0.2, respectively. Most underwent orthopedic (47.6%), general (37.6%), and vascular procedures (8.4%). Overall DoH rate ≤30 days was 44.4% for new-DNR versus 4.0% for no-DNR patients (p < 0.001). DoH rate for patients who had DNR orders placed in the preoperative, day of surgery, and postoperative setting was 16.7%, 23.3%, and 64.6%, respectively (p < 0.001). In multivariable analysis, compared to no-DNR patients, those with a new-DNR order had a 28-fold higher adjusted odds of DoH (odds ratio [OR] 28.1, 95% confidence interval: 13.0-60.1, p < 0.001); however, odds were 10-fold lower if the DNR order was placed preoperatively (OR: 5.8, p = 0.003) versus postoperatively (OR: 52.9, p < 0.001). Traditional markers of poor postoperative outcomes such as American Society of Anesthesiologists class and emergency surgery were not independently associated with DoH.

CONCLUSIONS

An inpatient DNR order was associated with risk of DoH independent of traditional markers of poor surgical outcomes. Further research is needed to understand factors leading to a DNR order that may aid early recognition of high-risk older adults undergoing surgery.

Impact of Frailty on Morbidity and Mortality in Adult Patients Presenting with an Acute Traumatic Cervical Spinal Cord Injury

OBJECTIVE

The aim of this study was to determine if baseline frailty was an independent predictor of adverse events (AEs) and in-hospital mortality in patients being treated for acute cervical spinal cord injury (SCI).

METHODS

A retrospective cohort study was performed using the National Trauma Database (NTDB) from 2017. Adult patients (>18 years old) with acute cervical SCI were identified using the International Classification of Diseases, Tenth Revision, Clinical Modification diagnostic and procedural coding systems. Patients were categorized into 3 cohorts based on the criteria of the 5-item modified frailty index (mFI-5): mFI = 0, mFI = 1, or mFI≥2. Patient demographics, comorbidities, type of injury, diagnostic and treatment modality, AEs, and in-patient mortality were assessed. A multivariate logistic regression analysis was used to identify independent predictors of in-hospital AEs and mortality.

RESULTS

Of 8986 patients identified, 4990 (55.5%) were classified as mFI = 0, 2328 (26%) as mFI = 1, and 1668 (18.5%) as mFI≥2. On average, the mFI≥2 cohort was 5 years older than the mFI = 1 cohort and 22 years older than the mFI = 0 cohort (P < 0.001). Most patients in each cohort sustained either complete SCI or central cord syndrome after a fall or transport accident (mFI = 0, 77.31% vs. mFI = 1, 89.5% vs. mFI≥2, 93.65%). With respect to in-hospital events, the proportion of patients who experienced any AE increased significantly along with frailty score (mFI = 0, 30.42% vs. mFI = 1, 31.74% vs. mFI≥2, 34.95%; P < 0.001). In-hospital mortality followed a similar trend, increasing with frailty score (mFI = 0, 10.53% vs. mFI = 1, 11.33% vs. mFI≥2, 16.23%; P < 0.001). On multivariate regression analysis, both mFI = 1 1.21 (odds ratio [OR], 1.21; 95% confidence interval [CI], 1.05-1.4; P = 0.008) and mFI≥2 (OR, 1.23; 95% CI, 1.05-1.45; P = 0.012) predicted AEs, whereas only mFI≥2 was found to be a predictor for in-hospital mortality (OR, 1.45; 95% CI, 1.14-1.83; P = 0.002).

CONCLUSIONS

Increasing frailty is associated with an increased risk of AEs and in-hospital mortality in patients undergoing treatment for cervical SCI.