Does frailty status predict outcome in major trauma in older people? A systematic review and meta-analysis

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.

Extreme-aged patients (≥ 85 years) experience similar outcomes as younger geriatric patients following chronic subdural hematoma evacuation: a matched cohort study

Subdural hematoma (SDH) evacuation represents one of the most frequently performed neurosurgical procedures. Several reports cite a rise in both the age and number of patient's requiring treatment, due in part to an aging population and expanded anticoagulation use. However, limited data and conflicting conclusions exist on extreme-aged geriatric patients (≥ 85 years of age) after undergoing surgery. Patients undergoing SDH evacuation at a tertiary academic medical center between November 2013-December 2021 were retrospectively identified. The study group consisted of patients ≥ 85 years (Group 1) diagnosed with a chronic SDH surgically evacuated. A control group was created matching patients by 70-84 years of age, gender, and anticoagulation use (Group 2). Multiple metrics were evaluated between the two including length-of hospital-stay, tracheostomy/PEG placement, reoperation rate, complications, discharge location, neurological outcome at the time of discharge, and survival. A total of 130 patients were included; 65 in Group 1 and 65 in Group 2. Patient demographics, medical comorbidities, SDH characteristics, international normalized ratio, partial thromboplastin time, and use of blood thinning agents were similar between the two groups. Kaplan Meier survival analysis at one-year was 80% for Group 1 and 76% for Group 2. No significant difference was identified using the log-rank test for equality of survivor functions (p = 0.26). All measured outcomes including GCS at time of discharge, length of stay, rate of reoperations, and neurological outcome were statistically similar between the two groups. Backwards stepwise conditional logistic regression revealed no significant association between poor outcomes at the time of discharge and age. Alternatively, anticoagulation use was found to be associated with poor outcomes (OR 3.55, 95% CI 1.08-11.60; p = 0.036). Several outcome metrics and statistical analyses were used to compare patients ≥ 85 years of age to younger geriatric patients (70-84 years) in a matched cohort study. Adjusting for age group, gender, and anticoagulation use, no significant difference was found between the two groups including neurological outcome at discharge, reoperation rate, and survival.

Frailty Is More Predictive of Mortality than Age in Patients With Hip Fractures

OBJECTIVES

To investigate the association between the Comprehensive Geriatric Assessment-based Frailty Index and adverse outcomes in older adult patients undergoing hip fracture surgery.

METHODS

DESIGN

Retrospective cohort study.

SETTING

Academic Level 1 Trauma Center.

PATIENTS

All patients aged 65 or older who underwent surgical repair of a hip fracture between May 2018 and August 2020 were identified through institutional database review.

OUTCOME MEASURES AND COMPARISONS

Data including demographics, FI, injury presentation, and hospital course were collected. Patients were grouped by FI as nonfrail (FI < 0.21), frail (0.21 ≤ FI < 0.45), and severely frail (FI > 0.45). Adverse outcomes of these groups were compared using Kaplan Meier survival analysis. Risk factors for 1-year rehospitalization and 2-year mortality were evaluated using Cox hazard regression.

RESULTS

Three hundred sixteen patients were included, with 62 nonfrail, 185 frail, and 69 severely frail patients. The total population was on average 83.8 years old, predominantly white (88.0%), and majority female (69.9%) with an average FI of 0.33 (SD: 0.14). The nonfrail cohort was on average 78.8 years old, 93.6% white, and 80.7% female; the frail cohort was on average 84.5 years old, 92.4% white, and 71.9% female; and the severely frail cohort was on average 86.4 years old, 71.0% white, and 55.1% female. Rate of 1-year readmission increased with frailty level, with a rate of 38% in nonfrail patients, 55.6% in frail patients, and 74.2% in severely frail patients (P = 0.001). The same pattern was seen in 2-year mortality rates, with a rate of 2.8% in nonfrail patients, 36.7% in frail patients, and 77.5% in severely frail patients (P < 0.0001). Being classified as frail or severely frail exhibited greater association with mortality within 2 years than age, with hazard ratio of 17.81 for frail patients and 56.81 for severely frail patients compared with 1.19 per 5 years of age.

CONCLUSIONS

Increased frailty as measured by the Frailty Index is significantly associated with increased 2-year mortality and 1-year hospital readmission rates after hip fracture surgery. Degree of frailty predicts mortality more strongly than age alone. Assessing frailty with the Frailty Index can identify higher-risk surgical candidates, facilitate clinical decision making, and guide discussions about goals of care with family members, surgeons, and geriatricians.

LEVEL OF EVIDENCE

Prognostic Level III. See Instructions for Authors for a complete description of levels of evidence.

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.

Retrospective Analysis of Risk Factors in Geriatric Hip Fracture Patients Predictive of Surgical Intensive Care Unit Admission

INTRODUCTION

Although numerous risk factors and prediction models affecting morbidity and mortality in geriatric hip fracture patients have been previously identified, there are scant published data on predictors for perioperative Surgical Intensive Care Unit (SICU) admission in this patient population. Determining if a patient will need an SICU admission would not only allow for the appropriate allocation of resources and personnel but also permit targeted clinical management of these patients with the goal of improving morbidity and mortality outcomes. The purpose of this study was to identify specific risk factors predictive of SICU admission in a population of geriatric hip fracture patients. Unlike previous studies which have investigated predominantly demographic, comorbidity, and laboratory data, the present study also considered a frailty index and length of time from injury to presentation in the Emergency Department (ED).

METHODS

A total of 501 geriatric hip fracture patients admitted to a Level 1 trauma center were included in this retrospective, single-center, quantitative study from January 1, 2019, to December 31, 2022. Using a logistical regression analysis, more than 25 different variables were included in the regression model to identify values predictive of SICU admission. Predictive models of planned versus unplanned SICU admissions were also estimated. The discriminative ability of variables in the final models to predict SICU admission was assessed with receiver operating characteristic curves' area under the curve estimates.

RESULTS

 Frailty, serum lactate > 2, and presentation to the ED > 12 hours after injury were significant predictors of SICU admission overall (P = 0.03, 0.038, and 0.05 respectively). Additionally, the predictive model for planned SICU admission had no common significant predictors with unplanned SICU admission. Planned SICU admission significant predictors included an Injury Severity Score (ISS) of 15 and greater, a higher total serum protein, serum sodium <135, systolic blood pressure (BP) under 100, increased heart rate on admission to ED, thrombocytopenia (<120), and higher Anesthesia Society Association physical status classification (ASA) score (P = 0.007, 0.04, 0.05, 0.002, 0.041, 0.05, and 0.005 respectively). Each SICU prediction model (overall, planned, and unplanned) demonstrated sufficient discriminative ability with the area under the curve (AUC) values of 0.869, 0.601, and 0.866 respectively. Finally, mean hospital Length of Stay (LOS) and mortality were increased in SICU admissions when compared to non-SICU admissions.

CONCLUSION

Of the three risk factors predictive of SICU admission identified in this study, two have not been extensively studied previously in this patient population. Frailty has been associated with increased mortality and postoperative complications in hip fracture patients, but this is the first study to date to use a novel frailty index specifically designed and validated for use in hip fracture patients. The other risk factor, time from injury to presentation to the ED serves as an indicator for time a hip fracture patient spent without receiving medical attention. This risk factor has not been investigated heavily in the past as a predictor of SICU admissions in this patient population.

Development and validation of a trauma frailty scale in severely injured patients: the Nottingham Trauma Frailty Index

Aims

Frailty greatly increases the risk of adverse outcome of trauma in older people. Frailty detection tools appear to be unsuitable for use in traumatically injured older patients. We therefore aimed to develop a method for detecting frailty in older people sustaining trauma using routinely collected clinical data.

Methods

We analyzed prospectively collected registry data from 2,108 patients aged ≥ 65 years who were admitted to a single major trauma centre over five years (1 October 2015 to 31 July 2020). We divided the sample equally into two, creating derivation and validation samples. In the derivation sample, we performed univariate analyses followed by multivariate regression, starting with 27 clinical variables in the registry to predict Clinical Frailty Scale (CFS; range 1 to 9) scores. Bland-Altman analyses were performed in the validation cohort to evaluate any biases between the Nottingham Trauma Frailty Index (NTFI) and the CFS.

Results

In the derivation cohort, five of the 27 variables were strongly predictive of the CFS (regression coefficient B = 6.383 (95% confidence interval 5.03 to 7.74), p < 0.001): age, Abbreviated Mental Test score, admission haemoglobin concentration (g/l), pre-admission mobility (needs assistance or not), and mechanism of injury (falls from standing height). In the validation cohort, there was strong agreement between the NTFI and the CFS (mean difference 0.02) with no apparent systematic bias.

Conclusion

We have developed a clinically applicable tool using easily and routinely measured physiological and functional parameters, which clinicians and researchers can use to guide patient care and to stratify the analysis of quality improvement and research projects.

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.

The role of frailty risk for fracture-related hospital readmission and mortality after a hip fracture

BACKGROUND

Frailty risk estimated using hospital administrative data may provide a useful clinical tool to identify older hip fracture patients at-risk of fracture-related readmissions and mortality. This study examined hip fracture hospitalisation temporal trends and explore the role of frailty risk in fracture-related readmission and mortality.

METHODS

This retrospective cohort study was conducted using linked hospital admission and mortality data in New South Wales, Australia. Patients aged ≥65 years were admitted after a hip fracture between 2014 and 2021 for temporal trends and those admitted and discharged after a hip fracture in 2014-2018 for fracture-related readmission. The Hospital Frailty Risk Score was estimated, and patients were followed for at least 36 months after discharge. A semi-competing risk analysis was used to examine the associations of frailty with fracture-related readmission and/or mortality.

RESULTS

Hip fracture hospitalisation rate was 472 per 100,000 and declined by 2.9 % (95 % confidence intervals (CI): -3.7 to -2.1) annually. Amongst 28,567 patients, 9.8 % were identified with low frailty risk, 39.4 %, intermediate frailty risk, and 50.6 % with high frailty risk. Patients with intermediate or high frailty risk had a higher chance of fracture-related readmission (Hazard ratios (HR): 1.33, 95 %CI: 1.21-1.47, HR: 1.65, 95 %CI: 1.49-1.83), death (HR: 1.50, 95 %CI: 1.38-1.63, HR: 1.80, 95 %CI: 1.65-1.96) and death post fracture-related readmission (HR: 1.32, 95 %CI: 1.12-1.56, HR: 1.56, 95 %CI: 1.32-1.84) than those with low frailty risk.

CONCLUSIONS

It appears that frailty risk estimated using hospital administrative data can contribute to identify patients who could benefit from targeted interventions to prevent further fractures.

Decreased Glycocalyx Shedding on Presentation in Hemorrhaging Geriatric Trauma Patients

INTRODUCTION

Plasma levels of syndecan-1 (Sdc-1), a biomarker of endothelial glycocalyx (EG) damage, correlate with worse outcomes in trauma patients. However, EG injury is not well characterized in injured older adults (OA). The aims of this study were to characterize Sdc-1 shedding in OA trauma patients relative to younger adults (YA) and determine associations with putative regulators of EG sheddases.

METHODS

We performed a secondary analysis of data from the Pragmatic, Randomized Optimal Platelet, and Plasma Ratios (PROPPR) trial, stratifying bluntly injured subjects into OA and YA groups based on upper age quartile (57 y). Plasma Sdc-1 levels were compared in OA and YA at hospital arrival through postinjury day 3, and the independent association between age and Sdc-1 level at arrival was determined after adjusting for differences in gender, shock index (SI), and pre-existing comorbidities. In a follow-up analysis, case-control matching was used to create populations of OA and YA with equivalent SI and injury severity score. Levels of Sdc-1 were compared between these matched groups, and the relationships with candidate regulators of EG shedding were assessed.

RESULTS

Of 680 subjects in the Pragmatic, Randomized Optimal Platelet, and Plasma Ratios trial, 350 (51%) had blunt injuries, and 92 (26.3%) of these were OA. Plasma Sdc-1 levels at arrival, 2 h, and 6 h were significantly lower in OA compared to YA (all P < 0.05). After adjusting for sex, pre-existing morbidities and SI, age was associated with decreased Sdc-1 levels at arrival. In the matched analyses, Sdc-1, high-mobility group box 1 and tissue inhibitor of metalloproteinase-2 levels were lower in OA compared to YA. Both high-mobility group box-1 and tissue inhibitor of metalloproteinase-2 significantly correlated with arrival Sdc-1 and were inversely associated with age.

CONCLUSIONS

This study indicates that increased age is independently associated with decreased Sdc-1 levels among patients with blunt injuries. Suppressed plasma levels of sheddases in relation to diminished Sdc-1 shedding suggest that mechanisms regulating EG cleavage may be impaired in injured older adults. These findings provide novel insight into the age-dependent impact of injury on the vascular endothelium, which could have important implications for the clinical management of older adults following trauma.