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

Predictors of 1-year mortality in a clinical cohort of hip fracture patients

PURPOSE

Knowledge about factors associated with mortality after hip fracture is important both for analytical and clinical purposes. This study aimed to assess patient risk factors and commonly used composite scores for prediction of 1-year mortality in a large clinical cohort.

METHODS

Hip fracture patient data were prospectively recorded in a local hospital database. Consecutive fractures from 2006 to 2020 were included, 6040 fractures in 5496 patients. Associations between 1-year mortality and different exposures were estimated using univariate and two multivariate logistic regression models. ROC analysis was used to compare the ability of the Nottingham Hip Fracture Score (NHFS), Age-adjusted Charlson Comorbidity Index (ACCI) the American Society of Anesthesiologists score (ASA) and the Orthopedic Frailty Score (OFS) to predict 1-year mortality.

RESULTS

Females sustained 73.9% of the fractures. Total 1-year mortality was 24.8%. Patients with overweight and class 1 obesity had lower 1-year mortality rates than normal weight patients [overweight: adjusted OR 0.58 (0.45-0.77), class 1 obesity: adjusted OR 0.40 (0.21-0.75)]. Mortality was elevated in males (adjusted OR 2.04, 95% CI 1.76-2.36), and nursing home residents (adjusted OR 2.99, 95% CI 2.60-3.44). We found no significant association between waiting time before surgery and mortality. Models including ACCI (AUC 0.74), NHFS (AUC 0.75) and OFS (AUC 0.73) had a similar ability to predict 1-year mortality, while a model including ASA (AUC 0.71) had a significantly lower prediction ability than ACCI and NHFS.

CONCLUSIONS

Sex, age, cognitive impairment, and residential status predicted 1-year mortality. The study found an apparent "obesity paradox", where overweight patients had a lower mortality rate than normal weight patients, but unmeasured confounding may have biased this analysis. ACCI and NHFS predicted mortality better than the combination of age, sex, and ASA.

Exploring the relationship between frailty and nonunion fractures in upper extremity injuries: insights from the national inpatient sample

INTRODUCTION

Frailty, a physiological decline in functional capacity, may influence nonunion risk. This study aimed to investigate the association between frailty, as measured by the modified Frailty Index-5 (mFI-5), and the likelihood of nonunion fractures of the upper extremity.

METHODS

This retrospective cohort study utilized the national inpatient sample (NIS) from 2015 to 2019. Patients aged 18 and older with upper extremity fractures, identified by ICD-10-CM codes, were included. Patients were categorized into routine healing and nonunion groups. Frailty was assessed using the mFI-5, classifying patients as robust, prefrail, frail, or severely frail. Multivariate logistic regression, controlling for age, sex, and Injury Severity Score (ISS), was performed to determine the association between frailty and nonunion.

RESULTS

The study included 21,618 patients, with 3782 presenting with nonunion fractures. The median age was 69 years, and 60.5% were female. The most common fracture types in the routine healing group were forearm (40.1%), clavicle (18.4%), and humerus (16.9%), while in the nonunion group, humerus (30.4%) and scapula (32.1%) were most common. Multivariate logistic regression showed that frail and severely frail patients had a decreased risk of nonunion (OR 0.751 and 0.705, respectively, p < 0.001). Each unit increase in mFI-5 score was associated with a decreased risk of nonunion (OR 0.868, p < 0.001). Sub-analysis revealed a decreased risk of nonunion with increasing frailty for humerus, clavicle, scapula, and phalanx fractures, but no significant association for wrist, forearm, or metacarpal fractures.

CONCLUSION

Contrary to expectations, increasing frailty, as measured by the mFI-5, was associated with a decreased risk of nonunion fractures in the upper extremity. This paradoxical finding may be due to closer medical supervision and improved treatment compliance in frail patients. Further prospective studies are needed to explore the complex interplay between frailty, treatment adherence, and fracture healing.

Frailty in Geriatrics: A Critical Review with Content Analysis of Instruments, Overlapping Constructs, and Challenges in Diagnosis and Prognostic Precision

Frailty is a key concept in geriatric care; yet its definition and assessment remain debated. Since the early 2000s, two main models have emerged: the Fried frailty phenotype, focusing on physical deficits, and the Mitnitski frailty index, which incorporates broader health factors. These divergent approaches have led to over 50 frailty instruments, reflecting the absence of a unified framework. This review explores the content, weighting, and scoring methods of frailty instruments, identifying potential concerns derived from this. This review exposes the overlap of frailty with other constructs including function, disability, morbidity, and sarcopenia. Many instruments lack content validity, and detect highly heterogeneous samples within and between scales, all labeled under the "frail" tag. This poses challenges to interpreting instrument responsiveness. In addition, frailty should not be considered a clinical entity with a unique etiology. This review discusses how the broad nature of frailty conflicts with modern paradigms of individualization and precision. They may be useful in primary care, but lack the specificity for secondary care evaluations. This article also discusses how the predictive validity of frailty should be interpreted with caution. Finally, we summarize our findings and propose a new definition of frailty, highlighting the strengths and weaknesses of the construct. The identified inconsistencies should serve as a guide for refining the concept of frailty, both in research and in its application to geriatric care.

Predictive ability of frailty scores in surgically managed patients with traumatic spinal injuries: a TQIP analysis

PURPOSE

Frailty has gained recognition as a crucial determinant of patient outcomes following traumatic spinal injury (TSI), particularly due to its increasing incidence in elderly populations. The aim of the current investigation was therefore to compare the ability of several frailty scores to predict adverse outcomes in surgically managed isolated TSI patients without spinal cord injury.

METHODS

All adult patients (18 years or older) who suffered an isolated TSI due to blunt trauma, and required surgical management, were extracted from the 2013-2021 Trauma Quality Improvement Program database. The ability of the Orthopedic Frailty Score (OFS), the Hospital Frailty Risk Score (HFRS), the 11-factor (11-mFI) and 5-factor (5-mFI) modified frailty index, as well as the Johns Hopkins Frailty Indicator to predict adverse outcomes was compared based on the area under the receiver-operating characteristic curve (AUC). Subgroup analyses were also performed on patients who were ≥ 65 years old and those who were injured due to a ground-level fall (GLF).

RESULTS

A total of 39,449 patients were selected from the TQIP database. The 5-mFI and 11-mFI outperformed all other frailty scores when predicting in-hospital mortality (5-mFI AUC: 0.73) (11-mFI AUC: 0.73), any complication (5-mFI AUC: 0.65) (11-mFI AUC: 0.65), and FTR (5-mFI AUC: 0.75) (11-mFI AUC: 0.75). Among the 14,257 geriatric patients, however, the OFS demonstrated the highest predictive ability for in-hospital mortality (AUC: 0.65). The OFS (AUC: 0.64) also performed on the same level as both the 5-mFI (AUC: 0.63) and the 11-mFI (AUC: 0.63) when predicting FTR in this population. Among the 9616 patients who were injured due to a GLF, the OFS performed on par with the 5-mFI and 11-mFI when predicting in-hospital mortality and FTR.

CONCLUSION

Simpler scores like the 5-factor modified Frailty Index and Orthopedic Frailty Score outperform or perform on par with more complicated frailty scores when predicting mortality, complications, and failure-to-rescue in surgically managed isolated traumatic spinal injury patients without spinal cord injury, particularly among geriatric patients and those injured in a GLF.

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

PURPOSE

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

METHODS

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

RESULTS

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

CONCLUSIONS

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

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.

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.