Frailty as a prognostic factor for the critically ill older adult trauma patients

Timing of tracheostomy in geriatric patients with isolated severe traumatic brain injury: A nationwide analysis

BACKGROUND

The impact of tracheostomy timing on outcomes is unclear in geriatric patients with traumatic brain injury (TBI).

METHODS

Patients aged≥65 with isolated severe TBI who underwent tracheostomy were identified in the ACS-TQIP 2017-2020 database. Patients were grouped by early (<10 days) vs. late (≥10 days) tracheostomy. Propensity score matching accounted for confounders. Outcomes included mortality, hospital (H-LOS) and ICU length of stay (ICU-LOS), ventilator days, and complications.

RESULTS

Among 1385 patients, 637 (46.0 ​%) had an early tracheostomy. Following propensity score matching, early tracheostomy was associated with shorter H-LOS (18 vs. 25 days, p ​< ​0.001), ICU-LOS (14 vs. 20 days, p ​< ​0.001), and fewer ventilator days (12 vs. 17 days, p ​< ​0.001). Furthermore, the incidence of deep vein thrombosis was lower in the early tracheostomy group (6.7 ​% vs. 11.3 ​%, p ​= ​0.024), but mortality rates were similar (11.1 ​% vs. 9.5 ​%, p ​= ​0.48).

CONCLUSION

Early tracheostomy in geriatric patients with isolated severe TBI is associated with reduced LOS, ventilator days, and complications, suggesting potential benefits of earlier intervention.

Rehabilitation and Social Determinants of Health in Critical Illness Recovery Literature: A Systematic Review

OBJECTIVES

Patients who survive critical illness navigate arduous and disparate recovery pathways that include referrals and participation in community-based rehabilitation services. Examining rehabilitation pathways during recovery is crucial to understanding the relationship on patient-centered outcomes. Furthermore, an understanding of social determinants of health (SDOH) in relation to outcomes and rehabilitation use will help ensure equitable access for future care. Therefore, there is a need to define and understand patient care pathways, specifically rehabilitation after discharge, through a SDOH lens after surviving a critical illness to improve long-term outcomes.

DATA SOURCES

MEDLINE, PubMed, Web of Science Core Collection (Clarivate), the CINAHL, and the Physiotherapy Evidence Database.

STUDY SELECTION AND DATA EXTRACTION

A systematic review of the literature was completed examining literature from inception to March 2024. Articles were included if post-hospital rehabilitation utilization was reported in adult patients who survived critical illness. Discharge disposition was examined as a proxy for rehabilitation pathways. Patients were grouped by patient diagnosis for grouped analysis and reporting of data. Two independent researchers reviewed manuscripts for inclusion and data were extracted by one reviewer using Covidence. Both reviewers used the Newcastle-Ottawa Scale to assess risk of bias.

DATA SYNTHESIS

Of 72 articles included, only four articles reported detailed rehabilitation utilization. The majority of the studies included were cohort studies (91.7%) with most articles using a retrospective design (56.9%). The most common patient population was acute respiratory diagnoses (51.4%). Most patients were discharged directly home from the hospital (75.4%). Race/ethnicity was the most frequently reported SDOH (43.1%) followed by insurance status (13.9%) and education (13.9%).

CONCLUSIONS

The small number of articles describing rehabilitative utilization allows for limited understanding of rehabilitation pathways following critical illness. The reporting of detailed rehabilitation utilization and SDOH are limited in the literature but may play a vital role in the recovery and outcomes of survivors of critical illness.

Impact of Frailty on COVID-19 Hospitalizations: Results from the California State Inpatient Database

OBJECTIVES

Frail patients are at greater risk of experiencing adverse clinical outcomes in any critical illness due to decreased physiologic reserves, greater susceptibility to the adverse effects of treatment, and greater needs for intensive care. In this study, we sought to assess the prevalence of frailty and associated adverse in-hospital outcomes among coronavirus disease 2019 (COVID-19) hospitalizations using the 2020 California State Inpatient Database (SID).

METHODS

For this study, we conducted a retrospective analysis of data from all COVID-19 hospital patients aged 18 years and older. We identified hospitalizations that were at high risk of frailty using the Hospital Frailty Risk Score. The primary outcome of our study was in-hospital mortality, and the secondary outcomes were prolonged length of stay, vasopressor use, mechanical ventilation, and intensive care unit admission.

RESULTS

The prevalence of frailty was 44.3% among COVID-19 hospitalizations. Using propensity score matching analysis, we found that the odds of mortality (odds ratio [OR] 4.54, 95% confidence interval [CI] 4.28-4.82), prolonged length of stay (OR 2.81, 95% CI 2.70-2.90), vasopressor use (OR 8.65, 95% CI 7.45-10.03), mechanical ventilation (OR 6.90, 95% CI 6.47-7.35), and intensive care unit admission (OR 7.17, 95% CI 6.71-7.66) were significantly higher among the group of frail patients.

CONCLUSION

Our findings show that frailty could be used for assessing and risk stratifying patients for improved hospital 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.

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.

Identifying factors predicting outcomes after major trauma in older patients: Prognostic systematic review and meta-analysis

INTRODUCTION

Trauma is the most common cause of morbidity and mortality in older people, and it is important to determine the predictors of outcomes after major trauma in older people.

METHODS

MEDLINE, Embase, and Web of Science were searched, and manual search of relevant papers since 1987 to February 2023 was performed. Random-effects meta-analyses were performed. The primary outcome of interest was mortality, and secondary outcomes were medical complications, length of stay, discharge destination, readmission, and intensive care requirement.

RESULTS

Among 6,064 studies in the search strategy, 136 studies qualified the inclusion criteria. Forty-three factors, ranging from demographics to patient factors, admission measurements, and injury factors, were identified as potential predictors. Mortality was the commonest outcome investigated, and increasing age was associated with increased risk of in-hospital mortality (odds ratio [OR], 1.05; 95% confidence interval [CI], 1.03-1.07) along with male sex (OR, 1.40; 95% CI, 1.24-1.59). Comorbidities of heart disease (OR, 2.59; 95% CI, 1.41-4.77), renal disease (OR, 2.52; 95% CI, 1.79-3.56), respiratory disease (OR, 1.40; 95% CI, 1.09-1.81), diabetes (OR, 1.35; 95% CI, 1.03-1.77), and neurological disease (OR, 1.42; 95% CI, 0.93-2.18) were also associated with increased in-hospital mortality risk. Each point increase in the Glasgow Coma Scale lowered the risk of in-hospital mortality (OR, 0.85; 95% CI, 0.76-0.95), while each point increase in Injury Severity Score increased the risk of in-hospital mortality (OR, 1.07; 95% CI, 1.04-1.09). There were limited studies and substantial variability in secondary outcome predictors; however, medical comorbidities, frailty, and premorbid living condition appeared predictive for those outcomes.

CONCLUSION

This review was able to identify potential predictors for older trauma patients. The identification of these factors allows for future development of risk stratification tools for clinicians.

LEVEL OF EVIDENCE

Systematic Review and Meta-Analysis; Level III.

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%.

It is not all black and white: The effect of increasing severity of frailty on outcomes of geriatric trauma patients

BACKGROUND

Frailty is associated with poor outcomes in trauma patients. However, the spectrum of physiologic deficits, once a patient is identified as frail, is unknown. The aim of this study was to assess the dynamic association between increasing frailty and outcomes among frail geriatric trauma patients.

METHODS

This is a secondary analysis of the American Association of Surgery for Trauma Frailty Multi-institutional Trial. Patients 65 years or older presenting to one of the 17 trauma centers over 3 years (2019-2022) were included. Frailty was assessed within 24 hours of presentation using the Trauma-Specific Frailty Index (TSFI) questionnaire. Patients were stratified by TSFI score into six groups: nonfrail (<0.12), Grade I (0.12-0.19), Grade II (0.20-0.29), Grade III (0.30-0.39), Grade IV (0.40-0.49), and Grade V (0.50-1). Our Outcomes included in-hospital and 3-month postdischarge mortality, major complications, readmissions, and fall recurrence. Multivariable regression analyses were performed.

RESULTS

There were 1,321 patients identified. The mean (SD) age was 77 years (8.6 years) and 49% were males. Median [interquartile range] Injury Severity Score was 9 [5-13] and 69% presented after a low-level fall. Overall, 14% developed major complications and 5% died during the index admission. Among survivors, 1,116 patients had a complete follow-up, 16% were readmitted within 3 months, 6% had a fall recurrence, 7% had a complication, and 2% died within 3 months postdischarge. On multivariable regression, every 0.1 increase in the TSFI score was independently associated with higher odds of index-admission mortality and major complications, and 3 months postdischarge mortality, readmissions, major complications, and fall recurrence.

CONCLUSION

The frailty syndrome goes beyond a binary stratification of patients into nonfrail and frail and should be considered as a spectrum of increasing vulnerability to poor outcomes. Frailty scoring can be used in developing guidelines, patient management, prognostication, and care discussions with patients and their families.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

30-Day Mortality among Very Old Patients Admitted to European Intensive Care Units for Major Trauma

INTRODUCTION

Cases of major trauma in the very old (over 80 years) are increasingly common in the intensive care unit (ICU). Predicting outcome is challenging in this group of patients as chronological age is a poor marker of health and poor predictor of outcome. Increasingly, decisions are guided by the use of organ dysfunction scores of both acute conditions (e.g., sequential organ failure assessment [SOFA] score) and chronic health issues (e.g., clinical frailty scale [CFS]). Recent work suggests that increased CFS is associated with a worse outcome in elderly major trauma patients. We aimed to test whether this association held true in the very old (over 80) or whether SOFA had a stronger association with 30-day outcome.

METHODS

Data from the very elderly intensive care patient (VIP)-1 and VIP-2 studies for patients over 80 years old with major trauma admissions were merged. These participants were recruited from 20 countries across Europe. Baseline characteristics, level of care provided, and outcome (ICU and 30-day mortality) were summarised. Uni- and multivariable regression analyses were undertaken to determine associations between CFS and SOFA score in the first 24 h, type of major trauma, and outcomes.

RESULTS

Of the 8,062 acute patients recruited to the two VIP studies, 498 patients were admitted to intensive care because of major trauma. Median age was 84 years, median SOFA score was 6 (IQR 3, 9), and median CFS was 3 (IQR 2, 5). Survival for 30 days was 54%. Median and interquartile range of CFS were the same for survivors and non-survivors. In the logistic regression analysis, CFS was not associated with increased mortality. SOFA score (p < 0.001) and trauma with head injury (p < 0.01) were associated with increased mortality.

CONCLUSIONS

Major trauma admissions in the very old are not uncommon, and 30-day mortality is high. We found that CFS was not a helpful predictor of mortality. SOFA and trauma with head injury were associated with worse outcomes in this patient group.

Investigating the effects of frailty on six-month outcomes in older trauma patients admitted to UK major trauma centres: a multi-centre follow up study

BACKGROUND

Pre-injury frailty is associated with adverse in-hospital outcomes in older trauma patients, but the association with longer term survival and recovery is unclear. We aimed to investigate post discharge survival and health-related quality of life (HRQoL) in older frail patients at six months after Major Trauma Centre (MTC) admission.

METHODS

This was a multi-centre study of patients aged ≥ 65 years admitted to five MTCs. Data were collected via questionnaire at hospital discharge and six months later. The primary outcome was patient-reported HRQoL at follow up using Euroqol EQ5D-5 L visual analogue scale (VAS). Secondary outcomes included health status according to EQ5D dimensions and care requirements at follow up. Multivariable linear regression analysis was conducted to evaluate the association between predictor variables and EQ-5D-5 L VAS at follow up.

RESULTS

Fifty-four patients died in the follow up period, of which two-third (64%) had been categorised as frail pre-injury, compared to 21 (16%) of the 133 survivors. There was no difference in self-reported HRQoL between frail and not-frail patients at discharge (Mean EQ-VAS: Frail 55.8 vs. Not-frail 64.1, p = 0.137) however at follow-up HRQoL had improved for the not-frail group but deteriorated for frail patients (Mean EQ-VAS: Frail: 50.0 vs. Not-frail: 65.8, p = 0.009). There was a two-fold increase in poor quality of life at six months (VAS ≤ 50) for frail patients (Frail: 65% vs. Not-frail: 30% p < 0.009). Frailty (β-13.741 [95% CI -25.377, 2.105], p = 0.02), increased age (β -1.064 [95% CI [-1.705, -0.423] p = 0.00) and non-home discharge (β -12.017 [95% CI [118.403, 207.203], p = 0.04) were associated with worse HRQoL at follow up. Requirements for professional carers increased five-fold in frail patients at follow-up (Frail: 25% vs. Not-frail: 4%, p = 0.01).

CONCLUSIONS

Frailty is associated with increased mortality post trauma discharge and frail older trauma survivors had worse HRQoL and increased care needs at six months post-discharge. Pre-injury frailty is a predictor of poor longer-term HRQoL after trauma and recognition should enable early specialist pathways and discharge planning.

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.

Surgical Emergencies in Patients with Significant Comorbid Diseases

Emergency surgery in patients with significant comorbidities benefits from a structured approach to preoperative evaluation, intra-operative intervention, and postoperative management. Providing goal concordant care is ideal using shared decision-making. When operation cannot achieve the patient's goal, non-operative therapy including Comfort Care is appropriate. When surgical therapy is offered, preoperative physiology-improving interventions are far fewer than in other phases. Reevaluation of clinical care progress helps define trajectory and inform goals of care. Palliative Care Medicine may be critical in supporting loved ones during a patient's critical illness. Outcome evaluation defines successful strategies and outline opportunities for improvement.

The unexpected paradox of geriatric traumatic brain injury outcomes: Uncovering racial and ethnic disparities

BACKGROUND

Healthcare disparities have always challenged surgical care in the US. We aimed to assess the influence of disparities on cerebral monitor placement and outcomes of geriatric TBI patients.

METHODS

Analysis of 2017-2019 ACS-TQIP. Included severe TBI patients ≥65 years. Patients who died within 24 h were excluded. Outcomes included mortality, cerebral monitors use, complications, and discharge disposition.

RESULTS

We included 208,495 patients (White = 175,941; Black = 12,194) (Hispanic = 195,769; Non-Hispanic = 12,258). On multivariable regression, White race was associated with higher mortality (aOR = 1.26; p < 0.001) and SNF/rehab discharge (aOR = 1.11; p < 0.001) and less likely to be discharged home (aOR = 0.90; p < 0.001) or to undergo cerebral monitoring (aOR = 0.77; p < 0.001) compared to Black. Non-Hispanics had higher mortality (aOR = 1.15; p = 0.013), complications (aOR = 1.26; p < 0.001), and SNF/Rehab discharge (aOR = 1.43; p < 0.001) and less likely to be discharged home (aOR = 0.69; p < 0.001) or to undergo cerebral monitoring (aOR = 0.84; p = 0.018) compared to Hispanics. Uninsured Hispanics had the lowest odds of SNF/rehab discharge (aOR = 0.18; p < 0.001).

CONCLUSIONS

This study highlights the significant racial and ethnic disparities in the outcomes of geriatric TBI patients. Further studies are needed to address the reason behind these disparities and identify potentially modifiable risk factors in the geriatric trauma population.

Explainable Machine Learning to Bring Database to the Bedside: Development and Validation of the TROUT (Trauma fRailty OUTcomes) Index, a Point-of-Care Tool to Prognosticate Outcomes After Traumatic Injury Based on Frailty

OBJECTIVE

Exemplify an explainable machine learning framework to bring database to the bedside; develop and validate a point-of-care frailty assessment tool to prognosticate outcomes after injury.

BACKGROUND

A geriatric trauma frailty index that captures only baseline conditions, is readily-implementable, and validated nationwide remains underexplored. We hypothesized Trauma fRailty OUTcomes (TROUT) Index could prognosticate major adverse outcomes with minimal implementation barriers.

METHODS

We developed TROUT index according to Transparent Reporting of a Multivariable Prediction Model for Individual Prognosis guidelines. Using nationwide US admission encounters of patients aged ≥65 years (2016-2017; 10% development, 90% validation cohorts), unsupervised and supervised machine learning algorithms identified baseline conditions that contribute most to adverse outcomes. These conditions were aggregated into TROUT Index scores (0-100) that delineate 3 frailty risk strata. After associative [between frailty risk strata and outcomes, adjusted for age, sex, and injury severity (as effect modifier)] and calibration analysis, we designed a mobile application to facilitate point-of-care implementation.

RESULTS

Our study population comprised 1.6 million survey-weighted admission encounters. Fourteen baseline conditions and 1 mechanism of injury constituted the TROUT Index. Among the validation cohort, increasing frailty risk (low=reference group, moderate, high) was associated with stepwise increased adjusted odds of mortality {odds ratio [OR] [95% confidence interval (CI)]: 2.6 [2.4-2.8], 4.3 [4.0-4.7]}, prolonged hospitalization [OR (95% CI)]: 1.4 (1.4-1.5), 1.8 (1.8-1.9)], disposition to a facility [OR (95% CI): 1.49 (1.4-1.5), 1.8 (1.7-1.8)], and mechanical ventilation [OR (95% CI): 2.3 (1.9-2.7), 3.6 (3.0-4.5)]. Calibration analysis found positive correlations between higher TROUT Index scores and all adverse outcomes. We built a mobile application ("TROUT Index") and shared code publicly.

CONCLUSION

The TROUT Index is an interpretable, point-of-care tool to quantify and integrate frailty within clinical decision-making among injured patients. The TROUT Index is not a stand-alone tool to predict outcomes after injury; our tool should be considered in conjunction with injury pattern, clinical management, and within institution-specific workflows. A practical mobile application and publicly available code can facilitate future implementation and external validation studies.

A comparison of three approaches to measuring frailty to determine adverse health outcomes in critically ill patients

BACKGROUND

studies comparing different frailty measures in intensive care unit settings are lacking. We aimed to compare the frailty index based on physiological and laboratory tests (FI-Lab), modified frailty index (MFI) and hospital frailty risk score (HFRS) to predict short-term outcomes for critically ill patients.

METHODS

we conducted a secondary analysis of data from the Medical Information Mart for Intensive Care IV database. Outcomes of interest included in-hospital mortality and discharge with need for nursing care.

RESULTS

the primary analysis was conducted with 21,421 eligible critically ill patients. After adjusting for confounding variables, frailty as diagnosed by all three frailty measures was found to be significantly associated with increased in-hospital mortality. In addition, frail patients were more likely to receive further nursing care after being discharged. All three frailty scores could improve the discrimination ability of the initial model generated by baseline characteristics for adverse outcomes. The FI-Lab had the best predictive ability for in-hospital mortality, whereas the HFRS had the best predictive performance for discharge with need for nursing care amongst the three frailty measures. A combination of the FI-Lab with either the HFRS or MFI improved the identification of critically ill patients at increased risk of in-hospital mortality.

CONCLUSIONS

frailty, as assessed by the HFRS, MFI and FI-Lab, was associated with short-term survival and discharge with need for nursing care amongst critically ill patients. The FI-Lab was a better predictor of in-hospital mortality than the HFRS and MFI. Future studies focusing on FI-Lab are warranted.

Association of Comorbidities and Functional Level With Mortality in Geriatric Bowel Perforation

INTRODUCTION

Spontaneous bowel perforation is associated with high morbidity and mortality. This entity remains understudied in the geriatric patient. We sought to use a national surgical sample to uncover independent predictors of mortality in elderly patients undergoing emergent operation for perforated bowel.

METHODS

Using the American College of Surgeons National Surgical Quality Improvement database, years 2007 to 2017, all geriatric patients (age ≥65 y) who underwent emergency surgery and who had a postoperative diagnosis of bowel perforation were included. Univariate and multivariable analyses were used to identify independent predictors of 30-d mortality.

RESULTS

A total of 8981 patients were included. The median (interquartile range) age was 75 y (69, 82), and 59.0% were female. Twenty-one percent of patients were partially or totally dependent, and 25.2% were admitted from sources other than home. Overall, 30-d mortality rate was 22.1%. Independent predictors of mortality included the following: age 70-79 y (odds ratio [OR]: 1.59, P < 0.001), age ≥80 y (OR: 3.23, P < 0.001), American Society of Anesthesiologists ≥3 (OR: 4.74, P < 0.001), admission from chronic care facility (OR: 1.61, P < 0.001), being partially or totally dependent (OR: 1.50, P < 0.001), chronic steroid use (OR: 1.36, P < 0.001), and preoperative septic shock (OR: 3.74, P < 0.001). Having immediate fascial closure was protective against mortality (immediate fascial closure only, OR: 0.55, P < 0.001; -immediate closure of all surgical site layers, OR: 0.44, P < 0.001).

CONCLUSIONS

In geriatric patients, functional status and chronic steroid therapy play an important role in determining survival following surgery for bowel perforation. These factors should be considered during preoperative counseling and decision-making.

External validation of the GCS-Pupils Score as an outcome predictor after traumatic brain injury in adults: a single-center experience

OBJECTIVE

The GCS-Pupils (GCS-P) score is a recently described scoring system to aid outcome prediction in patients with traumatic brain injury (TBI). The aim of this study was to provide the first external validation of the GCS-P score by identifying independent predictors of outcome in TBI patients.

METHODS

Review of prospective adult (≥ 16 years) TBI database at a tertiary neurosurgical center with a catchment population of 1.5 million over a 12-month period commencing October 2016. Multivariate logistic regression was used to identify predictors of discharge destination and 30-day mortality.

RESULTS

Three hundred and fifty-eight patients were included. The median age was 60 years with a male predominance of 64%. The median GCS-P was 14 (interquartile range 12-15) and the commonest GCS-P category was mild (13-15; 238/358, 66%). Discharge destination was home in 69% of patients and rehab services or equivalent in 31%. Multivariate analysis identified age (p = 0.01), CT findings of an acute subdural hematoma (p = 0.01) or diffuse axonal injury (p = 0.02), and a neurosurgical operation (p = 0.02) as independent predictors of discharge destination. The 30-day mortality rate was 11%. Within the category of severe TBI (GCS-P ≤ 8), GCS-P was able to identify patients with a very high likelihood of 30-day mortality (GCS-P ≤ 4; 16/31, 52%). Multivariate analysis revealed the Charlson comorbidity score (p = 0.01), GCS-P (p = 0.02), and traumatic subarachnoid hemorrhage (p = 0.05) as independent predictors of mortality.

CONCLUSION

The GCS-P is a useful predictor of 30-day mortality, although its usefulness for other clinical outcomes remains to be proven.

Prospective validation and application of the Trauma-Specific Frailty Index: Results of an American Association for the Surgery of Trauma multi-institutional observational trial

BACKGROUND

The frailty index is a known predictor of adverse outcomes in geriatric patients. Trauma-Specific Frailty Index (TSFI) was created and validated at a single center to accurately identify frailty and reliably predict worse outcomes among geriatric trauma patients. This study aims to prospectively validate the TSFI in a multi-institutional cohort of geriatric trauma patients.

METHODS

This is a prospective, observational, multi-institutional trial across 17 American College of Surgeons Levels I, II, and III trauma centers. All geriatric trauma patients (65 years and older) presenting during a 3-year period were included. Frailty status was measured within 24 hours of admission using the TSFI (15 variables), and patients were stratified into nonfrail (TSFI, ≤0.12), prefrail (TSFI, 0.13-0.25), and frail (TSFI, >0.25) groups. Outcome measures included index admission mortality, discharge to rehabilitation centers or skilled nursing facilities (rehab/SNFs), and 3-month postdischarge readmissions, fall recurrences, complications, and mortality among survivors of index admission.

RESULTS

A total of 1,321 geriatric trauma patients were identified and enrolled for validation of TSFI (nonfrail, 435 [33%]; prefrail, 392 [30%]; frail, 494 [37%]). The mean ± SD age was 77 ± 8 years; the median (interquartile range) Injury Severity Score was 9 (5-13). Overall, 179 patients (14%) had a major complication, 554 (42%) were discharged to rehab/SNFs, and 63 (5%) died during the index admission. Compared with nonfrail patients, frail patients had significantly higher odds of mortality (adjusted odds ratio [aOR], 1.93; p = 0.018), major complications (aOR, 3.55; p < 0.001), and discharge to rehab/SNFs (aOR, 1.98; p < 0.001). In addition, frailty was significantly associated with higher adjusted odds of mortality, major complications, readmissions, and fall recurrence at 3 months postdischarge ( p < 0.05).

CONCLUSION

External applicability of the TSFI (15 variables) was evident at a multicenter cohort of 17 American College of Surgeons trauma centers in geriatric trauma patients. The TSFI emerged as an independent predictor of worse outcomes, both in the short-term and 3-month postdischarge.

LEVEL OF EVIDENCE

Prognostic and Epidemiological; Level III.

Frailty Predicts Loss of Independence After Liver Surgery

BACKGROUND

Loss of independence (LOI) is a significant concern in patients undergoing liver surgery. Although the risks of morbidity and mortality have been well studied, there is a dearth of data regarding the risk of LOI. Therefore, this study aimed to assess predictors of LOI after liver surgery.

METHODS

This study utilized the National Surgical Quality Improvement Program (NSQIP) data from 2015 to 2018 from a retrospective cohort study of patients undergoing liver resections. LOI was defined as the change from preoperative functional independence to the postoperative discharge requirement in a post-care facility. Frailty was defined using the modified frailty index-5 (mFI-5).

RESULTS

A total of 22,463 patients underwent hepatectomy via the NSQIP during the study period. In total, 22,067 participants were included in the analysis. A total of 4.7% of patients had LOI after surgery and were discharged to a rehabilitation center or nursing facility. mFI-1 was an independent predictor of LOI (OR:2.2 [1.9-4.3]). However, the odds for LOI were higher (OR:5.1[2.5-8.2]) in patients with mFI ≥ 2.

CONCLUSION

LOI is an important outcome of liver surgery. Frailty is a predictor of LOI and should be used as a guide to inform patients about the potential outcomes.

Can the 5-item Modified Frailty Index Predict Outcomes in Geriatric Trauma? A National Database Study

BACKGROUND

Frailty results in increased vulnerability to adverse outcomes following trauma. We investigated the association between the 5-item modified frailty index (mFI-5) and outcomes in geriatric trauma patients.

METHODS

The 2011-2016 Trauma Quality Improvement Program database was used to study outcomes in patients ≥ 65 years old. The mFI-5 was measured and categorized into no frailty (mFI-5 = 0), moderate frailty (mFI-5 = 0.2), and severe frailty (mFI-5 ≥ 0.4). Multivariable logistic regression analyses were performed to identify independent factors of mortality and complications.

RESULTS

26,963 cases met the inclusion criteria, of whom 25.5% were not frail, 38% were moderately frail, and 36.6% were severely frail. Mean age (± SD) was 76 ± 7 years, 61.5% were male, and 97.8% sustained blunt injuries. Median Injury Severity Score (ISS) was 17 (IQR = 10-26), and the median Glasgow Coma Scale was 15 (IQR = 12-15). Overall mortality was 30.6%. Factors independently associated with mortality were age (OR = 1.07 per year, 95%CI 1.06-1.07), blunt trauma (OR = 1.44, 95%CI 1.19 -1.75), ISS (OR = 1.04 per unit increase in ISS, 95%CI 1.03-1.04), and severe frailty (OR = 1.23, 95%CI 1.15-1.32). Interestingly, male sex and GCS appeared to be protective factors with OR of 0.88 (95%CI 0.83 - 0.93) and 0.89 per point change in GCS (95%CI 0.88-0.9), respectively. Moderate (OR = 1.27, 95%CI 1.19-1.25) and severe frailty (OR = 1.49, 95%CI 1.-1.59) were significantly associated with in-hospital complications.

CONCLUSION

Moderate and severe frailty were significant predictors of complications. Only severe frailty was associated with short-term mortality. The mFI-5 can be used as an objective measure to stratify risks in geriatric trauma.

Multiple Organ Dysfunction in Older Major Trauma Critical Care Patients: A Multicenter Prospective Observational Study

The objective was to explore the characteristics and outcomes of multiple organ dysfunction syndrome (MODS) in older trauma patients.

Background

Severely injured older people present an increasing challenge for trauma systems. Recovery for those who require critical care may be complicated by MODS. In older trauma patients, MODS may not be predictable based on chronological age alone and factors associated with its development and resolution are unclear.

Methods

Consecutive adult patients (aged ≥16 years) admitted to 4 level 1 major trauma center critical care units were enrolled and reviewed daily until discharge or death. MODS was defined by a daily total sequential organ failure assessment score of >5.

Results

One thousand three hundred sixteen patients were enrolled over 18 months and one-third (434) were aged ≥65 years. Incidence of MODS was high for both age groups (<65 years: 64%, ≥65 years: 70%). There were few differences in severity, patterns, and duration of MODS between cohorts, except for older traumatic brain injury (TBI) patients who experienced a prolonged course of MODS recovery (TBI: 9 days vs no TBI: 5 days, P < 0.01). Frailty rather than chronological age had a strong association with MODS development (odds ratio [OR], 6.9; 95% confidence intervals [CI], 3.0-12.4; P < 0.001) and MODS mortality (OR, 2.1; 95% CI, 1.31-3.38; P = 0.02). Critical care resource utilization was not increased in older patients, but MODS had a substantial impact on mortality (<65 years: 17%; ≥65 years: 28%). The majority of older patients who did not develop MODS survived and had favorable discharge outcomes (home discharge ≥65 years NoMODS: 50% vs MODS: 15%; P < 0.01).

Conclusions

Frailty rather than chronological age appears to drive MODS development, recovery, and outcome in older cohorts. Early identification of frailty after trauma may help to predict MODS and plan care in older trauma.

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.

Association between frailty and clinical outcomes in surgical patients admitted to intensive care units: a systematic review and meta-analysis

BACKGROUND

Preoperative frailty may be a strong predictor of adverse postoperative outcomes. We investigated the association between frailty and clinical outcomes in surgical patients admitted to the ICU.

METHODS

PubMed, Embase, and Ovid MEDLINE were searched for relevant articles. We included full-text original English articles that used any frailty measure, reporting results of surgical adult patients (≥18 yr old) admitted to ICUs with mortality as the main outcome. Data on mortality, duration of mechanical ventilation, ICU and hospital length of stay, and discharge destination were extracted. The quality of included studies and risk of bias were assessed using the Newcastle Ottawa Scale. Data were synthesised according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis guidelines.

RESULTS

Thirteen observational studies met inclusion criteria. In total, 58 757 patients were included; 22 793 (39.4%) were frail. Frailty was associated with an increased risk of short-term (risk ratio [RR]=2.66; 95% confidence interval [CI]: 1.99-3.56) and long-term mortality (RR=2.66; 95% CI: 1.32-5.37). Frail patients had longer ICU length of stay (mean difference [MD]=1.5 days; 95% CI: 0.8-2.2) and hospital length of stay (MD=3.9 days; 95% CI: 1.4-6.5). Duration of mechanical ventilation was longer in frail patients (MD=22 h; 95% CI: 1.7-42.3) and they were more likely to be discharged to a healthcare facility (RR=2.34; 95% CI: 1.36-4.01).

CONCLUSION

Patients with frailty requiring postoperative ICU admission for elective and non-elective surgeries had increased risk of mortality, lengthier admissions, and increased likelihood of non-home discharge. Preoperative frailty assessments and risk stratification are essential in patient and clinician planning, and critical care resource utilisation.

CLINICAL TRIAL REGISTRATION

PROSPERO CRD42020210121.

Frailty Score as a Predictor of Outcomes in Geriatric Patients with Isolated Hip Fractures

BACKGROUND

Isolated hip fractures (IHFs) are a cause of morbidity and mortality in the geriatric population aged >65 years. Frailty has been identified as a determinant for patient outcomes in other surgical specialties. The purpose of this study is to determine if frailty severity is a predictor of outcomes in IHF in the geriatric population.

METHODS

This is a retrospective study in a state and ACS Level 2 trauma center. Patients with IHF were reviewed between January 2018 and January 2020. Primary outcome was in-patient mortality. Secondary outcomes include perioperative outcome measures such as UTI, HCAP, DVT, readmission, length of stay, ICU length of stay, nutritional status, and discharge destination. Patients were stratified into mild (1-2), moderate (3-5), and severe (5-7) frailty using the Rockwood Frailty Score (RFS). Clinical characteristics and outcomes were analyzed.

RESULTS

We identified 470 patients with IHF who were stratified by mild (N=316), moderate (N-123), and severe (N=31) frailty. Frailty worsened with increasing age (P < .0001). Those who were less frail were more likely discharged home (P < .04). Severely frail patients were more likely discharged to hospice (P < .01). Severely frail patients also were more likely to develop DVT (P < .04) and have poorer nutritional status (P < .02). There were no differences among groups for in-patient mortality.

CONCLUSION

Severely frail patients are more likely to be malnourished at baseline and be discharged to hospice care. The RFS is a reliable objective tool to identify high-risk patients and guide goals of care discussion for operative intervention in isolated traumatic hip fractures.

Rib Fracture Frailty Index: A risk stratification tool for geriatric patients with multiple rib fractures

BACKGROUND

Rib fractures are consequential injuries for geriatric patients (age, ≥65 years). Although age and injury patterns drive many rib fracture management decisions, the impact of frailty-which baseline conditions affect rib fracture-specific outcomes-remains unclear for geriatric patients. We aimed to develop and validate the Rib Fracture Frailty (RFF) Index, a practical risk stratification tool specific for geriatric patients with rib fractures. We hypothesized that a compact list of frailty markers can accurately risk stratify clinical outcomes after rib fractures.

METHODS

We queried nationwide US admission encounters of geriatric patients admitted with multiple rib fractures from 2016 to 2017. Partitioning around medoids clustering identified a development subcohort with previously validated frailty characteristics. Ridge regression with penalty for multicollinearity aggregated baseline conditions most prevalent in this frail subcohort into RFF scores. Regression models with adjustment for injury severity, sex, and age assessed associations between frailty risk categories (low, medium, and high) and inpatient outcomes among validation cohorts (odds ratio [95% confidence interval]). We report results according to Transparent Reporting of Multivariable Prediction Model for Individual Prognosis guidelines.

RESULTS

Development cohort (n = 55,540) cluster analysis delineated 13 baseline conditions constituting the RFF Index. Among external validation cohort (n = 77,710), increasing frailty risk (low [reference group], moderate, high) was associated with stepwise worsening adjusted odds of mortality (1.5 [1.2-1.7], 3.5 [3.0-4.0]), intubation (2.4 [1.5-3.9], 4.7 [3.1-7.5]), hospitalization ≥5 days (1.4 [1.3-1.5], 1.8 [1.7-2.0]), and disposition to home (0.6 [0.5-0.6], 0.4 [0.3-0.4]). Locally weighted scatterplot smoothing showed correlations between increasing RFF scores and worse outcomes.

CONCLUSION

The RFF Index is a practical frailty risk stratification tool for geriatric patients with multiple rib fractures. The mobile app we developed may facilitate rapid implementation and further validation of RFF Index at the bedside.

LEVEL OF EVIDENCE

Prognostic study, level III.

Association of Frailty With the Risk of Mortality and Resource Utilization in Elderly Patients in Intensive Care Units: A Meta-Analysis

Background: The associations of frailty with the risk of mortality and resource utilization in the elderly patients admitted to intensive care unit (ICU) remain unclear. To address these issues, we performed a meta-analysis to determine whether frailty is associated with adverse outcomes and increased resource utilization in elderly patients admitted to the ICU.

Methods: We searched PubMed, EMBASE, ScienceDirect, and Cochrane Central Register of Controlled Trials through August 2021 to identify the relevant studies that investigated frailty in elderly (≥ 65 years old) patients admitted to an ICU and compared outcomes and resource utilization between frail and non-frail patients. The primary outcome was mortality. We also investigated the prevalence of frailty and the impact of frailty on the health resource utilization, such as hospital length of stay (LOS) and resource utilization of ICU.

Results: A total of 13 observational studies enrolling 64,279 participants (28,951 frail and 35,328 non-frail) were finally included. Frailty was associated with an increased risk of short-term mortality (10 studies, relative risk [RR]: 1.70; 95% CI: 1.45–1.98), in-hospital mortality (five studies, RR: 1.73; 95% CI: 1.55–1.93), and long-term mortality (six studies, RR: 1.86; 95% CI: 1.44–2.42). Subgroup analysis showed that retrospective studies identified a stronger correlation between frailty and hospital LOS (three studies, MD 1.14 d; 95% CI: 0.92–1.36).

Conclusions: Frailty is common in the elderly patients admitted to ICU, and is associated with increased mortality and prolonged hospital LOS.

Trial registration: This study was registered in the PROSPERO database (CRD42020207242).

Top Ten Tips Palliative Care Clinicians Should Know About Trauma and Emergency Surgery

There is growing interest in, and need for, integrating palliative care (PC) into the care of patients undergoing emergency surgery and those with traumatic injury. Thus, PC consults for these populations will likely grow in the coming years. Understanding the nuances and unique characteristics of these two acutely ill populations will improve the care that PC clinicians can provide. Using a modified Delphi technique, this article offers 10 tips that experts in the field, based on their broad clinical experience, believe PC clinicians should know about the care of trauma and emergency surgery patients.

Hospital effects drive variation in access to inpatient rehabilitation after trauma

BACKGROUND

Postacute care rehabilitation is critically important to recover after trauma, but many patients do not have access. A better understanding of the drivers behind inpatient rehabilitation facility (IRF) use has the potential for major cost-savings as well as higher-quality and more equitable patient care. We sought to quantify the variation in hospital rates of trauma patient discharge to inpatient rehabilitation and understand which factors (patient vs. injury vs. hospital level) contribute the most.

METHODS

We performed a retrospective cohort study of 668,305 adult trauma patients admitted to 900 levels I to IV trauma centers between 2011 and 2015 using the National Trauma Data Bank. Participants were included if they met the following criteria: age >18 years, Injury Severity Score of ≥9, identifiable injury type, and who had one of the Centers for Medicare & Medicaid Services preferred diagnoses for inpatient rehabilitation under the "60% rule."

RESULTS

The overall risk- and reliability-adjusted hospital rates of discharge to IRF averaged 18.8% in the nonelderly adult cohort (18-64 years old) and 23.4% in the older adult cohort (65 years or older). Despite controlling for all patient-, injury-, and hospital-level factors, hospital discharge of patients to IRF varied substantially between hospital quintiles and ranged from 9% to 30% in the nonelderly adult cohort and from 7% to 46% in the older adult cohort. Proportions of total variance ranged from 2.4% (patient insurance) to 12.1% (injury-level factors) in the nonelderly adult cohort and from 0.3% (patient-level factors) to 26.0% (unmeasured hospital-level factors) in the older adult cohort.

CONCLUSION

Among a cohort of injured patients with diagnoses that are associated with significant rehabilitation needs, the hospital at which a patient receives their care may drive a patient's likelihood of recovering at an IRF just as much, if not more, than their clinical attributes.

LEVEL OF EVIDENCE

Care management, level IV.

The Consequences of Aging On the Response to Injury and Critical Illness

Changing demographic trends have led to an increase in the overall geriatric trauma patient volume. Furthermore, the intersection of aging and injury can be problematic because geriatric patients have multiple comorbidities, geriatric-specific syndromes, and reduced physiological reserve. Despite mounting evidence that frail geriatric patients have inferior outcomes following trauma, very few studies have examined the effect of aging on the biological response to injury. In the present article, we review the current literature and explore the pathophysiological rationale underlying observed data, available evidence, and future directions on this topic.

Racial and Ethnic Disparities in Frail Geriatric Trauma Patients

Background

Frailty in geriatric trauma patients is commonly associated with adverse outcomes. Racial disparities in geriatric trauma patients are previously described in the literature. We aimed to assess whether race and ethnicity influence outcomes in frail geriatric trauma patients.

Methods

We performed a 1-year (2017) analysis of TQIP including all geriatric (age ≥ 65 years) trauma patients. The frailty index was calculated using 11-variables and a cutoff limit of 0.27 was defined for frail status. Multivariate regression analysis was performed to control for demographics, insurance status, injury parameters, vital signs, and ICU and hospital length of stay.

Results

We included 41,111 frail geriatric trauma patients. In terms of race, among frail geriatric trauma patients, 35,376 were Whites and 2916 were African Americans; in terms of ethnicity, 37,122 were Non-Hispanics and 2184 were Hispanics. On regression analysis, the White race was associated with higher odds of mortality (OR, 1.5; 95% CI, 1.2–2.0; p < 0.01) and in-hospital complications (OR, 1.4; 95% CI, 1.1–1.9; p < 0.01). White patients were more likely to be discharged to SNF (OR, 1.2; 95% CI, 1.1–1.4; p = 0.03) and less likely to be discharged home (p = 0.04) compared to African Americans. Non-Hispanics were more likely to be discharged to SNF (OR, 1.3; 95% CI, 1.1–1.5; p < 0.01) and less likely to be discharged home (p < 0.01) as compared to Hispanics. No significant difference in in-hospital mortality was seen between Hispanics and Non-Hispanics.

Conclusion

Race and ethnicity influence outcomes in frail geriatric trauma patients. These disparities exist regardless of age, gender, injury severity, and insurance status. Further studies are needed to highlight disparities by race and ethnicity and to identify potentially modifiable risk factors in the geriatric trauma population.

Frailty status among older critically ill patients with severe acute kidney injury

BACKGROUND

Frailty status among critically ill patients with acute kidney injury (AKI) is not well described despite its importance for prognostication and informed decision-making on life-sustaining therapies. In this study, we aim to describe the epidemiology of frailty in a cohort of older critically ill patients with severe AKI, the outcomes of patients with pre-existing frailty before AKI and the factors associated with a worsening frailty status among survivors.

METHODS

This was a secondary analysis of a prospective multicentre observational study that enrolled older (age > 65 years) critically ill patients with AKI. The clinical frailty scale (CFS) score was captured at baseline, at 6 months and at 12 months among survivors. Frailty was defined as a CFS score of ≥ 5. Demographic, clinical and physiological variables associated with frailty as baseline were described. Multivariable Cox proportional hazard models were constructed to describe the association between frailty and 90-day mortality. Demographic and clinical factors associated with worsening frailty status at 6 months and 12 months were described using multivariable logistic regression analysis and multistate models.

RESULTS

Among the 462 patients in our cohort, median (IQR) baseline CFS score was 4 (3-5), with 141 (31%) patients considered frail. Pre-existing frailty was associated with greater hazard of 90-day mortality (59% (n = 83) for frail vs. 31% (n = 100) for non-frail; adjusted hazards ratio [HR] 1.49; 95% CI 1.11-2.01, p = 0.008). At 6 months, 68 patients (28% of survivors) were frail. Of these, 57% (n = 39) were not classified as frail at baseline. Between 6 and 12 months of follow-up, 9 (4% of survivors) patients transitioned from a frail to a not frail status while 10 (4% of survivors) patients became frail and 11 (5% of survivors) patients died. In multivariable analysis, age was independently associated with worsening CFS score from baseline to 6 months (adjusted odds ratio [OR] 1.08; 95% CI 1.03-1.13, p = 0.003).

CONCLUSIONS

Pre-existing frailty is an independent risk factor for mortality among older critically ill patients with severe AKI. A substantial proportion of survivors experience declining function and worsened frailty status within one year.

Frailty Interdisciplinary Pathway: Compliance and Sustainability in a Level I Trauma Center

BACKGROUND

Frailty is a state of physiological vulnerability that predisposes many older adult trauma patients to poor health outcomes. Specialized care pathways for frail trauma patients have been shown to improve outcomes, but the compliance and sustainability of these pathways have not been reported (Bryant et al., 2019; Engelhardt et al., 2018).

METHODS

We retrospectively measured compliance and sustainability during the first 2 years of a frailty pathway for patients 65 years or older at an urban Level I trauma center. Compliance to 19 pathway elements was collected for 279 pathway patients between October 1, 2016, and September 30, 2018. Compliance was analyzed and reported as a percentage of the total possible times each element could have been completed per pathway guidelines. Benchmark compliance was 75% or more.

RESULTS

Retrospective 2-year mean overall compliance to all pathway elements was 68.2% and improved from Year 1 (65.0%) to Year 2 (71.4%). Seven elements achieved a mean 75% or more compliance over the 2-year period: frailty screening on admission (92.8%), consultation requests for physical therapy (97.9%), geriatrics (96.2%), and nutrition (92.3%), consultant care within 72 hr of admission (78.0%), delirium screening 3 times daily (76.3%), and daily senna administration (76.0%). Compliance to 10 elements significantly improved from Year 1 to Year 2 and significantly worsened in 2 elements.

CONCLUSION

Many standardized geriatric care processes for frail older adult trauma patients can be successfully integrated into routine daily inpatient practice and sustained over time. Multicenter studies are needed to demonstrate how to improve compliance and to understand better which pathway elements are most effective.

A Prospective Comparison of Frailty Scores and Fall Prediction in Acutely Injured Older Adults

BACKGROUND

Elderly (65 and older) fall-related injuries are a significant cause of morbidity and mortality. Although frailty predicts poor outcomes in geriatric trauma, literature comparing frailty scoring systems remains limited. Herein, we evaluated which frailty scoring system best predicts falls over time in the elderly.

MATERIALS AND METHODS

Acute surgical patients 65 y and older were enrolled and prospectively observed. Demographics and frailty, assessed using the FRAIL Scale, Trauma Specific Frailty Index (TSFI), and Canadian Frailty Scale (CSHA-CFS), were collected at enrollment and 3 mo intervals following discharge for 1 y. Surveys queried the total number and timing of falls. Changes in frailty over time were assessed by logistic regression and area under the curve (AUC).

RESULTS

Fifty-eight patients were enrolled. FRAIL Scale and CSHA-CFS scores did not change over time, but TSFI scores did (P ≤ 0.01). Worsening frailty was observed using TSFI at 6 (P ≤ 0.01) and 12 mo (P ≤ 0.01) relative to baseline. Mortality did not differ based on frailty using any frailty score. Increasing frailty scores and time postdischarge was associated with increased odds of a fall. AUC estimates with 95% CI were 0.72 [0.64, 0.80], 0.81 [0.74, 0.88], and 0.76 [0.68, 0.84] for the FRAIL Scale, TSFI, and CSHA-CFS, respectively.

CONCLUSIONS

The risk of falls postdischarge were associated with increased age, time postdischarge, and frailty in our population. No scale appeared to significantly outperform the other by AUC estimation. Further study on the longitudinal effects of frailty is warranted.

Geriatric Skiers: Active But Still at Risk, a National Trauma Data Bank Study

BACKGROUND

Downhill skiing accounts for a large portion of geriatric sport-related trauma. We assessed the national burden of geriatric versus nongeriatric ski trauma.

MATERIALS AND METHODS

Adults presenting to level 1/2 trauma centers after ski-associated injuries from 2011 to 2015 were identified from the National Trauma Data Bank by ICD-9 code. We compared demographics, injury patterns, and outcomes between geriatric (age ≥65 y) and nongeriatric adult skiers (age 18-64 y). A multiple regression analysis assessed for risk factors associated with severe injury (Injury Severity Score >15).

RESULTS

We identified 3255 adult ski trauma patients, and 16.7% (543) were geriatric. Mean ages for nongeriatric versus geriatric skiers were 40.8 and 72.1 y, respectively. Geriatric skiers more often suffered head (36.7 versus 24.3%, P < 0.0001), severe head (abbreviated injury scale score >3, 49.0 versus 31.5%, P < 0.0001) and thorax injuries (22.2 versus 18.1%, P = 0.03) as compared with nongeriatric skiers. Geriatric skiers were also more often admitted to the ICU (26.5 versus 14.9%, P < 0.0001), discharged to a facility (26.7 versus 11.6%, P < 0.0001), and suffered higher mortality rates (1.3 versus 0.4%, P = 0.004). Independent risk factors for severe injury included being male (OR: 1.68, CI: 1.22-2.31), helmeted (OR: 1.41, CI: 1.07-1.85), and having comorbidities (OR: 1.37, CI: 1.05-1.80). Geriatric age was not independently associated with severe injury.

CONCLUSIONS

At level 1/2 trauma centers, geriatric age in ski trauma victims was associated with unique injury patterns, higher acuity, increased rates of facility care at discharge, and higher mortality as compared with nongeriatric skiers. Our findings indicate the need for specialized care after high impact geriatric ski trauma.

British Orthopaedic Association's Standards for Trauma (BOAST): Care of the older or frail patient with orthopaedic injuries

Managing elderly, frail patients with orthopaedic injuries, remains a challenge. Their poor bone stock and associated comorbidities makes this special cohort of patients unique in terms of their needs and the risk of developing complications. Published on line in 2019 (www.boa.ac.uk/uploads/assets/04b3091a-5398-4a3c-a01396c8194bfe16/the%20care%20of%20the%20older%20or%20frail%20orthopaedic%20trauma%20patient.pdf) the British Orthopaedic Association's Standards for Trauma focusing on the care of the older or frail patient with orthopaedic injuries, provides a contemporary guide for the holistic management of the spectrum of injury and pre-existing needs of this population.

Frailty in Critical Care Medicine: A Review

Traditional approaches to clinical risk assessment utilize age as a marker of increased vulnerability to stress. Relatively recent advancements in the study of aging have led to the concept of the frailty syndrome, which represents a multidimensional state of depleted physiologic and psychosocial reserve and clinical vulnerability that is related to but variably present with advancing age. The frailty syndrome is now a well-established clinical entity that serves as both a guide for clinical intervention and a predictor of poor outcomes in the primary and acute care settings. The biological aspects of the syndrome broadly represent a network of interrelated perturbations involving the age-related accumulation of molecular, cellular, and tissue damage that leads to multisystem dysregulation, functional decline, and disproportionately poor response to physiologic stress. Given the complexity of the underlying biologic processes, several well-validated approaches to define frailty clinically have been developed, each with distinct and reasonable considerations. Stemming from this background, the past several years have seen a number of observational studies conducted in intensive care units that have established that the determination of frailty is both feasible and prognostically useful in the critical care setting. Specifically, frailty as determined by several different frailty measurement tools appears associated with mortality, increased health care utilization, and disability, and has the potential to improve risk stratification of intensive care patients. While substantial variability in the implementation of frailty measurement likely limits the generalizability of specific findings, the overall prognostic trends may offer some assistance in guiding management decisions with patients and their families. Although no trials have assessed interventions to improve the outcomes of critically ill older people living with frailty, the particular vulnerability of this population offers a promising target for intervention in the future.

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

BACKGROUND

The 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.

METHODS

We 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.

RESULTS

A 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).

CONCLUSIONS

Frailty 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.

Epidemiological Investigation of Elderly Patients with Severe Burns at a Major Burn Center in Southwest China

Background

The treatment of elderly patients with severe burns is difficult and the mortality rate is high. The aim of this study was to investigate the epidemiological features of elderly patients with severe burns.

Material/Methods

Data from 109 elderly patients with severe burns between January 2009 and December 2018 were retrospectively analyzed. Demographic data, clinical characteristics, treatments, and outcomes were statistically analyzed.

Results

Among the 109 elderly patients with severe burns, the male-to-female ratio was 1.73: 1.0. The median age of the elderly patients was 67 years, and the median total body surface area (TBSA) burned was 42%. Notably, 67.9% of burns occurred at home and most frequently occurred in summer (38.5%) and winter (28.4%); flame and flash burns predominated (83.4%). The incidence of inhalation injury was 35.8%, and pre-existing comorbidities were observed in approximately 51.4% of the patients. The median length of stay in the hospital per TBSA burned was 0.4 days. The mortality rate in the elderly patients was 24.8%, and the mortality rates in the ≥70% TBSA group, inhalation injury group, and patients with 3 or more pre-existing comorbidities were significantly higher than in the other groups. The risk of death increased with an increase in the number of pre-existing comorbidities (odds ratio: 2.222; 95% confidence interval: 1.174–4.205).

Conclusions

At a major burn center in Southwest China, the incidence and mortality of elderly patients with severe burns displayed no downward trend. There are etiological characteristics of these age groups that should be considered for prevention. Meanwhile, multidisciplinary treatment in a hospital and an increase in the social support for the elderly population might improve outcomes.

Timing and methods of frailty assessments in geriatric trauma patients: A systematic review

INTRODUCTION

The trauma population is aging and better prognostic measures for geriatric trauma patients are required. Frailty rather than age appears to be associated with poor outcomes. This systematic review aimed to identify the optimum frailty assessment instrument and timing of assessment in patients aged over 65 years admitted to hospital after traumatic injury. The secondary aim was to evaluate outcomes associated with frailty in elderly trauma populations.

METHODS

This systematic review was registered with the PROSPERO International Prospective Register of Systematic Reviews (CRD42018090620). A MEDLINE and EMBASE literature search was conducted from inception to June 2019 combining the concepts of injury, geriatric, frailty, assessment and prognosis. Included studies were in patients 65 years or older hospitalised after injury and exposed to an instrument meeting consensus definition for frailty assessment. Study quality was assessed using criteria for review of prognostic studies combined with a GRADE approach.

RESULTS

Twenty-eight papers met inclusion criteria. Twenty-eight frailty or component instruments were reported, and assessments of pre-injury frailty were made up to 1-year post injury. Pre-injury frailty prevalence varied from 13% (13/100) to 94% (17/18), with in-hospital mortality rates from 2% (5/250) to 33% (6/18). Eleven studies found an association between frailty and mortality. Eleven studies reported an association between frailty and a composite outcome of mortality and adverse discharge destination. Generalisability and assessment of strength of associations was limited by single centre studies with inconsistent findings and overlapping cohorts.

CONCLUSIONS

Associations between frailty and adverse outcomes including mortality in geriatric trauma patients were demonstrated despite a range of frailty instruments, administering clinicians, time of assessment and data sources. Although evidence gaps remain, incorporating frailty assessment into trauma systems is likely to identify geriatric patients at risk of adverse outcomes. Consistency in frailty instruments and long-term geriatric specific outcome measures will improve research relevance.

LEVEL OF EVIDENCE

Level III prognostic.