Developing and validating a scoring system for measuring frailty in patients with hip fracture: a novel model for predicting short-term postoperative mortality

Orthopedic Frailty Score and adverse outcomes in patients with surgically managed isolated traumatic spinal injury

Background

With an aging global population, the prevalence of frailty in patients with traumatic spinal injury (TSI) is steadily increasing. The aim of the current study is to evaluate the utility of the Orthopedic Frailty Score (OFS) in assessing the risk of adverse outcomes in patients with isolated TSI requiring surgery, with the hypothesis that frailer patients suffer from a disproportionately increased risk of these outcomes.

Methods

The Trauma Quality Improvement Program database was queried for all adult patients (18 years or older) who suffered an isolated TSI due to blunt force trauma, between 2013 and 2019, and underwent spine surgery. Patients were categorized as non-frail (OFS 0), pre-frail (OFS 1), or frail (OFS ≥2). The association between the OFS and in-hospital mortality, complications, and failure to rescue (FTR) was determined using Poisson regression models, adjusted for potential confounding.

Results

A total of 43 768 patients were included in the current investigation. After adjusting for confounding, frailty was associated with a more than doubling in the risk of in-hospital mortality (adjusted incidence rate ratio (IRR) (95% CI): 2.53 (2.04 to 3.12), p<0.001), a 25% higher overall risk of complications (adjusted IRR (95% CI): 1.25 (1.02 to 1.54), p=0.032), a doubling in the risk of FTR (adjusted IRR (95% CI): 2.00 (1.39 to 2.90), p<0.001), and a 10% increase in the risk of intensive care unit admission (adjusted IRR (95% CI): 1.10 (1.04 to 1.15), p=0.004), compared with non-frail patients.

Conclusion

The findings indicate that the OFS could be an effective method for identifying frail patients with TSIs who are at a disproportionate risk of adverse events.

Level of evidence

Level III.

Systematic review of multivariable prognostic models for outcomes at least 30 days after hip fracture finds 18 mortality models but no nonmortality models warranting validation

OBJECTIVES

Prognostic models have the potential to aid clinical decision-making after hip fracture. This systematic review aimed to identify, critically appraise, and summarize multivariable prediction models for mortality or other long-term recovery outcomes occurring at least 30 days after hip fracture.

STUDY DESIGN AND SETTING

MEDLINE, Embase, Scopus, Web of Science, and CINAHL databases were searched up to May 2023. Studies were included that aimed to develop multivariable models to make predictions for individuals at least 30 days after hip fracture. Risk of bias (ROB) was dual-assessed using the Prediction model Risk Of Bias ASsessment Tool. Study and model details were extracted and summarized.

RESULTS

From 5571 records, 80 eligible studies were identified. They predicted mortality in n = 55 studies/81 models and nonmortality outcomes (mobility, function, residence, medical, and surgical complications) in n = 30 studies/45 models. Most (n = 46; 58%) studies were published since 2020. A quarter of studies (n = 19; 24%) reported using 'machine-learning methods', while the remainder used logistic regression (n = 54; 68%) and other statistical methods (n = 11; 14%) to build models. Overall, 15 studies (19%) presented 18 low ROB models, all predicting mortality. Common concerns were sample size, missing data handling, inadequate internal validation, and calibration assessment. Many studies with nonmortality outcomes (n = 11; 37%) had clear data complexities that were not correctly modeled.

CONCLUSION

This review has comprehensively summarized and appraised multivariable prediction models for long-term outcomes after hip fracture. Only 15 studies of 55 predicting mortality were rated as low ROB, warranting further development of their models. All studies predicting nonmortality outcomes were high or unclear ROB. Careful consideration is required for both the methods used and justification for developing further nonmortality prediction models for this clinical population.

Comparative Analysis of Frailty Scores for Predicting Adverse Outcomes in Hip Fracture Patients: Insights from the United States National Inpatient Sample

The aim of the current investigation was to compare the ability of several frailty scores to predict adverse outcomes in hip fracture patients. All adult patients (18 years or older) who suffered a hip fracture due to a fall and underwent surgical fixation were extracted from the 2019 National Inpatient Sample (NIS) Database. A combination of logistic regression and bootstrapping was used to compare the predictive ability of the Orthopedic Frailty Score (OFS), the Nottingham Hip Fracture Score (NHFS), the 11-factor modified Frailty Index (11-mFI) and 5-factor (5-mFI) modified Frailty Index, as well as the Johns Hopkins Frailty Indicator. A total of 227,850 patients were extracted from the NIS. In the prediction of in-hospital mortality and failure-to-rescue (FTR), the OFS surpassed all other frailty measures, approaching an acceptable predictive ability for mortality [AUC (95% CI): 0.69 (0.67-0.72)] and achieving an acceptable predictive ability for FTR [AUC (95% CI): 0.70 (0.67-0.72)]. The NHFS demonstrated the highest predictive ability for predicting any complication [AUC (95% CI): 0.62 (0.62-0.63)]. The 11-mFI exhibited the highest predictive ability for cardiovascular complications [AUC (95% CI): 0.66 (0.64-0.67)] and the NHFS achieved the highest predictive ability for delirium [AUC (95% CI): 0.69 (0.68-0.70)]. No score succeeded in effectively predicting venous thromboembolism or infections. In summary, the investigated frailty scores were most effective in predicting in-hospital mortality and failure-to-rescue; however, they struggled to predict complications.

Clinical Associated Factors of Tile B/C Type of Pelvic Ring Fractures; a Retrospective Cross-sectional study

Introduction

Pelvic ring fractures categorized under Tile Categories B and C denote partially and fully unstable fractures, respectively. This study aimed to identify the clinically associated factors of Tile B/C pelvic ring fractures.

Methods

This retrospective cross-sectional study reviewed medical records from the Emergency Medicine department at Ramathibodi Hospital in Bangkok, Thailand. The study included individuals aged ≥ 15 who experienced accidents from 2012 to 2021. To investigate the associations between the clinical variables and three critical outcomes, including Tile B/C pelvic ring fractures, major vascular injuries, and the necessity for surgical or radiological interventions, multivariable logistic regression analysis was employed.

Results

A total of 198 patients were included in the study, among whom 34.8% were diagnosed with Tile B/C pelvic ring fractures. The analysis revealed several significant predictors of Tile B/C fractures, including the presence of pelvic tenderness (adjusted odds ratio [aOR] = 15.25, 95% confidence interval [CI] = 5.86-39.66, p < 0.001), and a shock index (SI) ≥1 (aOR = 4.2, 95% CI = 1.24-14.22, p = 0.021). Moreover, Tile B/C pelvic ring fractures were associated with an increased incidence of major vascular events and the imperative requirement for surgical or radiological interventions.

Conclusion

Clinical findings of pelvic tenderness and an SI ≥1 are strong predictive clinical factors associated with Tile B/C pelvic fractures. Early diagnosis, application of an pelvic binder, provision of initial resuscitation, and prompt transportation to a definitive care facility are crucial components of management.

AtoG: A simple score to predict complications and death after hip fractures, in line with the comprehensive geriatric assessment

INTRODUCTION

Proximal Femur Fractures (PFFs) are a significant public health issue and occur in the context of global frailty and aging. Recent literature identifies new patient-related prognostic factors that focus on socioeconomic environment, patient well-being, or nutrition status. Specific scores have been developed, but in most cases, they fail to be in line with the comprehensive geriatric assessment, or do not assess the newly identified prognostic factors, contain multitude collinearities, or are too complex to be used in the daily practice. Hypothesis A comprehensive score with equal representation of the patient's dimensions does at least as good as the Charlson score (CCI), to predict complications and mortality.

OBJECTIVE

To develop a new comprehensive prognostic score, predicting inpatient complications and mortality up to 5-year after PFF.

MATERIAL AND METHODS

The patients treated surgically for PFF on a native hip, between 2005 and 2017 were selected from a French national database. The variables were the gender, age, the type of treatment (osteosynthesis or arthroplasty), and the CCI. The outcomes were the medical and surgical complications as inpatient and the mortality (up to 5-year). Variables were grouped into dimensions with similar clinical significance, using a Principal Component Analysis, for instance, bedsores and malnutrition. The dimensions were tested for 90-day mortality and complications, in regressions models. Two scores were derived from the coefficients: SCOREpond (strict ponderation), and SCORE (with loose ponderation: 1 point/risk factors, -1 point/protective factors). Calibration, discrimination (ROC curves with Area Under Curves AUC), and cross-validation were assessed for SCOREpond, SCORE, and CCI.

RESULTS

Analyses were performed on 7756 fractures. The factorial analysis identified seven dimensions: age; brain-related conditions (including dementia): 1738/7756; severe chronic conditions (for instance, organ failures) 914/7756; undernutrition: 764/7756; environment, including social issues or housing difficulties: 659/7756; associated trauma: 814/7756; and gender. The seven dimensions were selected for the prognostic score named AtoG (ABCDEFG, standing for Age, Brain, Comorbidities, unDernutrition, Environment, other Fractures, Gender). The median survival rate was 50.8 months 95% CI [49-53]. Anaemia and urologic complications were the most prevalent medical complications (1674/7756, 21%, and 1109/7756, 14.2%). A total of 149/7756 patients (1.9%) developed a mechanical inpatient complication (fractures or dislocations), with a slightly higher risk for arthroplasties. The AUCs were 0.69, 0.68, and 0.67 for AtoGpond, AtoG, and CCI, respectively, for 90-day mortality, and 0.64, 0.63, and 0.56 for complications. Compared to patients with AtoG=0, Hazard Ratios for 90-day mortality were 2.3 95% CI [1.7-2.9], 4.2 95% CI [3.1-5.4], 6 95% CI [4.5-8.1], 8.3 95% CI [6.5-12.9], and 13.7 95% CI [8-24], from AtoG=1 to AtoG≥5, respectively (p<10-4); the 90-day survival decreased by 5%/point, roughly. The sur-risk of mortality associated with AtoG was up to 5-year: HR=1.51 (95% CI [1.46-1.55], p<10-4). Compared to AtoG=0, from AtoG=1 to AtoG≥5, the pooled Odd Ratios were 1.14 95% CI [1.06-1.2], 1.53 95% CI [1.4-1.7], 2.17 95% CI [1.9-2.4], 2.9 95% CI [2.4-3.4], and 4.9 95% CI [3.3-7.4] for any complication (p<10-4).

CONCLUSION

AtoG is a multidimensional score in line with the concept of comprehensive geriatric assessment. It had good discrimination and performance in predicting 90-day mortality and complications. Performances were as good as CCI for 90-day mortality, and better than it for the complications.

LEVEL OF PROOF

IV; retrospective cohort study.

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.

The relationship and predictive value of dementia and frailty for mortality in patients with surgically managed hip fractures

BACKGROUND

Both dementia and frailty have been associated with worse outcomes in patients with hip fractures. However, the interrelation and predictive value of these two entities has yet to be clarified. The current study aimed to investigate the predictive relationship between dementia, frailty, and in-hospital mortality after hip fracture surgery.

METHODS

All patients registered in the 2019 National Inpatient Sample Database who were 50 years or older and underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. Logistic regression (LR) models were constructed with in-hospital mortality as the response variables. One model was constructed including markers of frailty and one model was constructed excluding markers of frailty [Orthopedic Frailty Score (OFS) and weight loss]. The feature importance of all variables was determined using the permutation importance method. New LR models were then fitted using the top ten most important variables. The area under the receiver-operating characteristic curve (AUC) was used to compare the predictive ability of these models.

RESULTS

An estimated total of 216,395 patients were included. Dementia was the 7th most important variable for predicting in-hospital mortality. When the OFS and weight loss were included, they replaced dementia in importance. There was no significant difference in the predictive ability of the models when comparing the model that included markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.81)] with the model that excluded markers of frailty [AUC for in-hospital mortality (95% CI) 0.79 (0.77-0.80)].

CONCLUSION

Dementia functions as a surrogate for frailty when predicting in-hospital mortality in hip fracture patients. This finding highlights the importance of early frailty screening for improvement of care pathways and discussions with patients and their families in regard to expected outcomes.

Prioritizing patients for hip fracture surgery: the role of frailty and cardiac risk

Introduction

The number of patients with hip fractures continues to rise as the average age of the population increases. Optimizing outcomes in this cohort is predicated on timely operative repair. The aim of this study was to determine if patients with hip fractures who are frail or have a higher cardiac risk suffer from an increased risk of in-hospital mortality when surgery is postponed >24 h.

Methods

All patients registered in the 2013-2021 TQIP dataset who were ≥65 years old and underwent surgical fixation of an isolated hip fracture caused by a ground-level fall were included. Adjustment for confounding was performed using inverse probability weighting (IPW) while stratifying for frailty with the Orthopedic Frailty Score (OFS) and cardiac risk using the Revised Cardiac Risk Index (RCRI). The outcome was presented as the absolute risk difference in in-hospital mortality.

Results

A total of 254,400 patients were included. After IPW, all confounders were balanced. A delay in surgery was associated with an increased risk of in-hospital mortality across all strata, and, as the degree of frailty and cardiac risk increased, so too did the risk of mortality. In patients with OFS ≥4, delaying surgery >24 h was associated with a 2.33 percentage point increase in the absolute mortality rate (95% CI: 0.57-4.09, p = 0.010), resulting in a number needed to harm (NNH) of 43. Furthermore, the absolute risk of mortality increased by 4.65 percentage points in patients with RCRI ≥4 who had their surgery delayed >24 h (95% CI: 0.90-8.40, p = 0.015), resulting in a NNH of 22. For patients with OFS 0 and RCRI 0, the corresponding NNHs when delaying surgery >24 h were 345 and 333, respectively.

Conclusion

Delaying surgery beyond 24 h from admission increases the risk of mortality for all geriatric hip fracture patients. The magnitude of the negative impact increases with the patient's level of cardiac risk and frailty. Operative intervention should not be delayed based on frailty or cardiac risk.

Investigating the link between frailty and outcomes in geriatric patients with isolated rib fractures

Background

Studies have shown an increased risk of morbidity in elderly patients suffering rib fractures from blunt trauma. The association between frailty and rib fractures on adverse outcomes is still ill-defined. In the current investigation, we sought to delineate the association between frailty, measured using the Orthopedic Frailty Score (OFS), and outcomes in geriatric patients with isolated rib fractures.

Methods

All geriatric (aged 65 years or older) patients registered in the 2013-2019 Trauma Quality Improvement database with a conservatively managed isolated rib fracture were considered for inclusion. An isolated rib fracture was defined as the presence of ≥1 rib fracture, a thorax Abbreviated Injury Scale (AIS) between 1 and 5, an AIS ≤1 in all other regions, as well as the absence of pneumothorax, hemothorax, or pulmonary contusion. Based on patients' OFS, patients were classified as non-frail (OFS 0), pre-frail (OFS 1), or frail (OFS ≥2). The prevalence ratio (PR) of composite complications, in-hospital mortality, failure-to-rescue (FTR), and intensive care unit (ICU) admission between the OFS groups was determined using Poisson regression models to adjust for potential confounding.

Results

A total of 65 375 patients met the study's inclusion criteria of whom 60% were non-frail, 29% were pre-frail, and 11% were frail. There was a stepwise increased risk of complications, in-hospital mortality, and FTR from non-frail to pre-frail and frail. Compared with non-frail patients, frail patients exhibited a 87% increased risk of in-hospital mortality [adjusted PR (95% CI): 1.87 (1.52-2.31), p<0.001], a 44% increased risk of complications [adjusted PR (95% CI): 1.44 (1.23-1.67), p<0.001], a doubling in the risk of FTR [adjusted PR (95% CI): 2.08 (1.45-2.98), p<0.001], and a 17% increased risk of ICU admission [adjusted PR (95% CI): 1.17 (1.11-1.23), p<0.001].

Conclusion

There is a strong association between frailty, measured using the OFS, and adverse outcomes in geriatric patients managed conservatively for rib fractures.

Comorbidity Patterns in Older Patients Undergoing Hip Fracture Surgery: A Comorbidity Network Analysis Study

Comorbidity network analysis (CNA) is a technique in which mathematical graphs encode correlations (edges) among diseases (nodes) inferred from the disease co-occurrence data of a patient group. The present study applied this network-based approach to identifying comorbidity patterns in older patients undergoing hip fracture surgery. This was a retrospective observational cohort study using electronic health records (EHR). EHR data were extracted from the one University Health System in the southeast United States. The cohort included patients aged 65 and above who had a first-time low-energy traumatic hip fracture treated surgically between October 1, 2015 and December 31, 2018 (n = 1,171). Comorbidity includes 17 diagnoses classified by the Charlson Comorbidity Index. The CNA investigated the comorbid associations among 17 diagnoses. The association strength was quantified using the observed-to-expected ratio (OER). Several network centrality measures were used to examine the importance of nodes, namely degree, strength, closeness, and betweenness centrality. A cluster detection algorithm was employed to determine specific clusters of comorbidities. Twelve diseases were significantly interconnected in the network (OER > 1, p-value < .05). The most robust associations were between metastatic carcinoma and mild liver disease, myocardial infarction and congestive heart failure, and hemi/paraplegia and cerebrovascular disease (OER > 2.5). Cerebrovascular disease, congestive heart failure, and myocardial infarction were identified as the central diseases that co-occurred with numerous other diseases. Two distinct clusters were noted, and the largest cluster comprised 10 diseases, primarily encompassing cardiometabolic and cognitive disorders. The results highlight specific patient comorbidities that could be used to guide clinical assessment, management, and targeted interventions that improve hip fracture outcomes in this patient group.

Adverse outcomes following pelvic fracture: the critical role of frailty

PURPOSE

Pelvic fractures among older adults are associated with an increased risk of adverse outcomes, with frailty likely being a contributing factor. The current study endeavors to describe the association between frailty, measured using the Orthopedic Frailty Score (OFS), and adverse outcomes in geriatric pelvic fracture patients.

METHODS

All geriatric (65 years or older) patients registered in the 2013-2019 Trauma Quality Improvement Program database with an isolated pelvic fracture following blunt trauma were considered for inclusion. An isolated pelvic fracture was defined as any fracture in the pelvis with a lower extremity AIS ≥ 2, any abdomen AIS, and an AIS ≤ 1 in all other regions. Poisson regression models were employed to determine the association between the OFS and adverse outcomes.

RESULTS

A total of 66,404 patients were included for further analysis. 52% (N = 34,292) were classified as non-frail (OFS 0), 32% (N = 21,467) were pre-frail (OFS 1), and 16% (N = 10,645) were classified as frail (OFS ≥ 2). Compared to non-frail patients, frail patients exhibited a 88% increased risk of in-hospital mortality [adjusted IRR (95% CI): 1.88 (1.54-2.30), p < 0.001], a 25% increased risk of complications [adjusted IRR (95% CI): 1.25 (1.10-1.42), p < 0.001], a 56% increased risk of failure-to-rescue [adjusted IRR (95% CI): 1.56 (1.14-2.14), p = 0.006], and a 10% increased risk of ICU admission [adjusted IRR (95% CI): 1.10 (1.02-1.18), p = 0.014].

CONCLUSION

Frail pelvic fracture patients suffer from a disproportionately increased risk of mortality, complications, failure-to-rescue, and ICU admission. Additional measures are required to mitigate adverse events in this vulnerable patient population.

Hip fractures after 60 years of age in France in 2005-2017: Nationwide sample of statutory-health-insurance beneficiaries

BACKGROUND

Proximal femoral factures (PFFs) constitute a heavy medical, social, and economic burden. Overall, orthopaedic conditions vary widely in France regarding the patients involved and treatments applied. For PFFs specifically, data are limited. Moreover, the ongoing expansion of geriatric orthopaedics holds promise for improving overall postoperative survival. The objectives of this retrospective study of a nationwide French database were: 1) to describe the pathway of patients with PFFs regarding access to care, healthcare institutions involved, and times to management; 2) to look for associations linking these parameters to post-operative mortality.

HYPOTHESIS

Across France, variations exist in healthcare service availability and time to management for patients with PFFs.

MATERIAL AND METHODS

A retrospective analysis of data in a de-identified representative sample of statutory-health-insurance beneficiaries in France (Échantillon généraliste des bénéficiaires, EGB, containing data for 1/97 beneficiaries) was conducted. All patients older than 60 years of age who were managed for PFFs between 2005 and 2017 were included. The following data were collected for each patient: age, management method, Charlson's Comorbidity Index (CCI), home-to-hospital distance by road, and type of hospital (public, non-profit private, or for-profit private), and time to surgery were collected. The study outcomes were the incidence of PFF, mortality during the first postoperative year, changes in mortality between 2005 and 2017, and prognostic factors.

RESULTS

In total 8026 fractures were included. The 7561 patients had a median age of 83.8 years and a mean CCI of 4.6; both parameters increased steadily over time, by 0.18 years and 0.06 points per year, respectively (p<10-4 for both comparisons). Management was by total hip replacement in 3299 cases and internal fixation in 4262 cases; this information was not available for 465 fractures. The overall incidence increased from 90/100,000 in 2008 to 116/100,000 in 2017 (p=0.03). Of the 8026 fractures, 5865 (73.1%) were managed in public hospitals (and this proportion increased significantly over time), 1629 (20.3%) in non-profit private hospitals (decrease over time), and 264 (3.3%) in for-profit private hospitals. The home-to-hospital distance ranged from 7.5 to 38.5km and increased over time by 0.26km/year (95% confidence interval [95%CI]: 0.15-0.38) (p<10-4). Median time to surgery was 1 day [1-3 days], with no significant difference across hospital types. Mortality rates at 90 days and 1 year were 10.5% (843/8026) and 20.8% (1673/8026), respectively. Two factors were significantly associated with day-90 mortality: the CCI (hazard ratio [HR], 1.087 [95%CI: 1.07-1.10] [p<10-4]) and time to surgery>1 day (HR 1.35 [95%CI: 1.15-1.50] [p<0.0001]). Day-90 mortality decreased significantly from 2005 to 2017 (HR 0.95 [95%CI: 0.92-0.97] [p<10-4]), with no centre effect.

CONCLUSION

The management of PFF in patients older than 60 varied widely across France. Time to surgery longer than 1 day was a major adverse prognostic factor whose effects persisted throughout the first year. This factor was present in over half the patients. Day-90 mortality decreased significantly from 2005 to 2017 despite increases in age and comorbidities.

LEVEL OF EVIDENCE

IV Retrospective cohort study.

Validation of the orthopedic frailty score for measuring frailty in hip fracture patients: a cohort study based on the United States National inpatient sample

BACKGROUND

The Orthopedic Frailty Score (OFS) has been proposed as a tool for measuring frailty in order to predict short-term postoperative mortality in hip fracture patients. This study aims to validate the OFS using a large national patient register to determine its relationship with adverse outcomes as well as length of stay and cost of hospital stay.

METHODS

All adult patients (18 years or older) registered in the 2019 National Inpatient Sample Database who underwent emergency hip fracture surgery following a traumatic fall were eligible for inclusion. The association between the OFS and mortality, complications, and failure-to-rescue (FTR) was determined using Poisson regression models adjusted for potential confounders. The relationship between the OFS and length of stay and cost of hospital stay was instead determined using a quantile regression model.

RESULTS

An estimated 227,850 cases met the study inclusion criteria. There was a stepwise increase in the rate of complications, mortality, and FTR for each additional point on the OFS. After adjusting for potential confounding, OFS 4 was associated with an almost ten-fold increase in the risk of in-hospital mortality [adjusted IRR (95% CI): 10.6 (4.02-27.7), p < 0.001], a 38% increased risk of complications [adjusted IRR (95% CI): 1.38 (1.03-1.85), p = 0.032], and an almost 11-fold increase in the risk of FTR [adjusted IRR (95% CI): 11.6 (4.36-30.9), p < 0.001], compared to OFS 0. Patients with OFS 4 also required a day and a half additional care [change in median length of stay (95% CI): 1.52 (0.97-2.08), p < 0.001] as well as cost approximately $5,200 more to manage [change in median cost of stay (95% CI): 5166 (1921-8411), p = 0.002], compared to those with OFS 0.

CONCLUSION

Patients with an elevated OFS display a substantially increased risk of mortality, complications, and failure-to-rescue as well as a prolonged and more costly hospital stay.

A systematic review of predictive accuracy via c-statistic of preoperative frailty tests for extended length of stay, post-operative complications, and mortality

Frailty, as an age-related syndrome of reduced physiological reserve, contributes significantly to post-operative outcomes. With the aging population, frailty poses a significant threat to patients and health systems. Since 2012, preoperative frailty assessment has been recommended, yet its implementation has been inhibited by the vast number of frailty tests and lack of consensus. Since the anesthesiologist is the best placed for perioperative care, an anesthesia-tailored preoperative frailty test must be simple, quick, universally applicable to all surgeries, accurate, and ideally available in an app or online form. This systematic review attempted to rank frailty tests by predictive accuracy using the c-statistic in the outcomes of extended length of stay, 3-month post-operative complications, and 3-month mortality, as well as feasibility outcomes including time to completion, equipment and training requirements, cost, and database compatibility. Presenting findings of all frailty tests as a future reference for anesthesiologists, Clinical Frailty Scale was found to have the best combination of accuracy and feasibility for mortality with speed of completion and phone app availability; Edmonton Frailty Scale had the best accuracy for post-operative complications with opportunity for self-reporting. Finally, extended length of stay had too little data for recommendation of a frailty test. This review also demonstrated the need for changing research emphasis from odds ratios to metrics that measure the accuracy of a test itself, such as the c-statistic.

Multidimensional prognostic index predicts short- and long-term mortality and rehospitalizations in older patients with hip fracture

BACKGROUND

Multidimensional Prognostic Index (MPI), calculated on cognitive, functional, nutritional, social, pharmacological and comorbidity domains, strongly correlates with mortality in older patients. Hip fractures are a major health problem and are associated with adverse outcomes in those affected by frailty.

AIM

We aimed at evaluating whether MPI is a predictor of mortality and rehospitalization in hip fracture older patients.

METHODS

We investigated the associations of MPI with all-cause 3- and 6-month mortality and rehospitalization in 1259 older patients admitted for hip fracture surgical treatment and managed by an orthogeriatric team [age 85 years (65-109); male gender: 22%].

RESULTS

Overall mortality was 11,4%, 17% and 23,5% at 3, 6 and 12 months from surgery (rehospitalizations: 15, 24,5 and 35,7%). MPI was associated (p < 0.001) with 3-, 6- and 12- month mortality and readmissions; Kaplan-Meier estimate for rehospitalization and survival according to MPI risk classes confirmed these results. In multiple regression analyses these associations were independent (p < 0.05) of mortality and rehospitalization-associated factors not included in the MPI, such as gender, age and post-surgical complications. Similar MPI predictive value was observed in patients undergoing endoprosthesis or other surgeries. ROC analysis confirmed that MPI was a predictor (p < 0.001) of both 3- and 6- month mortality and rehospitalization.

CONCLUSIONS

In hip fracture older patients, MPI is a strong predictor of 3-, 6- and 12- months mortality and rehospitalization, independently of surgical treatment and post-surgical complications. Therefore, MPI should be considered a valid pre-surgical tool to identify patients with higher clinical risk of adverse outcomes.

A nationwide analysis on the interaction between frailty and beta-blocker therapy in hip fracture patients

INTRODUCTION

Hip fracture patients, who are often frail, continue to be a challenge for healthcare systems with a high postoperative mortality rate. While beta-blocker therapy (BBt) has shown a strong association with reduced postoperative mortality, its effect in frail patients has yet to be determined. This study's aim is to investigate how frailty, measured using the Orthopedic Hip Frailty Score (OFS), modifies the effect of preadmission beta-blocker therapy on mortality in hip fracture patients.

METHODS

This retrospective register-based study included all adult patients in Sweden who suffered a traumatic hip fracture and subsequently underwent surgery between 2008 and 2017. Treatment effect was evaluated using the absolute risk reduction (ARR) in 30-day postoperative mortality when comparing patients with (BBt+) and without (BBt-) ongoing BBt. Inverse probability of treatment weighting (IPTW) was used to reduce potential confounding when examining the treatment effect. Patients were stratified based on their OFS (0, 1, 2, 3, 4 and 5) and the treatment effect was also assessed within each stratum.

RESULTS

A total of 127,305 patients were included, of whom 39% had BBt. When IPTW was performed, there were no residual differences in observed baseline characteristics between the BBt+ and BBt- groups, across all strata. This analysis found that there was a stepwise increase in the ARRs for each additional point on the OFS. Non-frail BBt+ patients (OFS 0) exhibited an ARR of 2.2% [95% confidence interval (CI) 2.0-2.4%, p < 0.001], while the most frail BBt+ patients (OFS 5) had an ARR of 24% [95% CI 18-30%, p < 0.001], compared to BBt- patients within the same stratum.

CONCLUSION

Beta-blocker therapy is associated with a reduced risk of 30-day postoperative mortality in frail hip fracture patients, with a greater effect being observed with higher Orthopedic Hip Frailty Scores.