Efficiency of coordinator-based osteoporosis intervention in fragility fracture patients: a prospective randomized trial

Return on investment of fracture liaison services: a systematic review and analysis

Fracture liaison services (FLS) have been proven clinically effective and cost-effective in preventing subsequent fractures among patients with an existing fragility fracture. Little is known about their monetary benefits such as their return on investment (ROI). This systematic review aimed to investigate the ROI of FLS and identify the FLS characteristics with better ROI. Studies on the cost-effectiveness of FLS published between January 2000 and December 2022 were searched from MEDLINE, EMBASE, PubMed, and Cochrane Central. Two independent reviewers conducted study selection and data extraction. ROI was calculated based on the difference between monetary benefits and FLS costs divided by the FLS costs. Subgroup analysis of ROI was performed across FLS types and FLS design details. A total of 23 FLS were included in this review. The majority of them were targeting patients aged over 50 years having fractures without identified sites. The mean ROI of these FLS was 10.49 (with a median ROI of 7.57), and 86.96% of FLS had positive ROI. FLS making treatment recommendations yielded the highest ROI (with a mean ROI of 18.39 and a median of 13.60). Incorporating primary care providers (with a mean ROI of 16.04 and a median of 13.20) or having them as program leaders (with a mean ROI of 12.07 and a median of 12.07) has demonstrated a high ROI. FLS for specific fracture sites had great monetary return. Intensive FLS such as type A and B FLS programs had higher ROI than non-intensive type C and D FLS. This review revealed a 10.49-fold monetary return of FLS. Identified characteristics contributing to greater economic return informed value-for-money FLS designs. Findings highlight the importance of FLS and the feasibility of expanding their contribution in mitigating the economic burden of osteoporotic fracture and are conducive to the promotion of FLS internationally.

Proportion of Hidden Vertebral Fractures Among Egyptian Males With Fragility Hip Fractures in the Emergency Room of Ain Shams University Hospitals

Background Fragility fractures are linked to significant costs for society as well as significant pain and suffering, disability, and even death. It is well-recognized that osteoporosis-related fragility fractures raise the risk of subsequent fragility fractures. One of the most frequent osteoporotic fractures brought on by low bone mineral density and other risk factors is vertebral fractures. Considering that most vertebral fractures are asymptomatic and not clinically identified, proactive screening could stop additional impairment. Objective The current study aims to determine the prevalence and risk factors of hidden vertebral fractures in Egyptian males who have fragility hip fractures. Patients and methods A cross-sectional case-control study examining the correlation of risk factors between cases (fragility hip fracture and vertebral fractures) and a control group (fragility hip fracture without vertebral fracture) was carried out from September 2020 to September 2021 on patients visiting the orthopedic emergency department of a university hospital in Cairo, Egypt. Males who presented to the emergency room (ER) with fragility hip fractures and were 40 years of age or older met our inclusion criteria. For every patient who presented with a fragility hip fracture, standard lateral and anteroposterior radiographs of the dorso-lumbar spine were taken. Results A total of 43,935 patients visited the orthopedic emergency room (ER) throughout the study period; 13,034 of those patients were men, accounting for 29.7% of all orthopedic ER visits. Our inclusion criteria for fragility hip fractures were met by 132 male participants. The screening lumbosacral plain X-rays identified 27 (20.5%) of the 132 patients as having concomitant vertebral fractures in addition to the fragility hip fractures. Concomitant hidden vertebral fractures among Egyptian males with other fragility fractures, particularly fragility hip fractures, are predicted by the number of co-morbid diseases, hypertension, and continuous use of steroids and anti-epileptics. Conclusion Most fragility fractures are avoidable. Because one fragility fracture increases the likelihood of others, early detection is crucial. To prevent complications and mortality, it is important to identify and manage individuals who have a fragility hip fracture as they frequently have concurrent hidden vertebral fractures. Predictive risk factors for fragility vertebral fractures include hypertension, the number of concomitant illnesses, and chronic drugs (anti-epileptics and steroids).

The role of the fracture liaison service in the prevention of atypical femoral fractures

Osteoporosis and fragility fractures (FFs) are considered critical health problems by the World Health Organization (WHO) because of high morbidity, mortality, and healthcare costs. The occurrence of a FF raises the risk of a subsequent fracture (refracture). The hip is the most common site of fragility refracture, and its onset is associated with a further increase in patient's morbidity, mortality, and socioeconomic burden. Therefore, the prevention of refracture is essential. In this context, fracture liaison service (FLS) demonstrated to be able to reduce FF risk and also improve patients' adherence to anti-osteoporotic treatments, particularly for bisphosphonates (BPs). However, long-term and high adherence to BPs may lead to atypical femoral fractures (AFFs). These latter are tensile side stress fractures of the femur, with high rates of complications, including delayed and non-healing. An effective FLS should be able to prevent both FF and AFF. A comprehensive and interdisciplinary approach, through the involvement and education of a dedicated team of healthcare professionals (i.e. orthopedic, geriatrician, primary care physician, rehabilitation team, and bone nurse) for evaluating both FF and AFF risks might be useful to improve the standard of care.

Team Approach: Organizing and Empowering Multidisciplinary Teams in Postfragility Fracture Care

» Numerous healthcare roles can be valuable and effective participants in postfracture care programs (PFCPs) and can also serve effectively as program liaisons/champions.» Greatest success seems to have been achieved when a single entity provides cohesive and consistent training, coordination, shared goals, and accountability for program sites and site leaders.» Few PFCPs have solved what seems to be the fundamental challenge of such programs: how to maintain program effectiveness and cohesion when the patient makes the inevitable transition from acute care to primary care? Creating a partnership with shared goals with primary care providers is a challenge for every program in every location.» Programs located in the United States, with its predominantly "open" healthcare system, seem to lag other parts of the world in overcoming this fundamental challenge.» It is hoped that all PFCPs in all systems can learn from the successes of other programs in managing this critical transition from acute to primary care.

Implementation and operationalization of Integrated People-Centred Health Services delivery strategies in integrated osteoporosis care (IOC) initiatives: a systematic review

Integrated Osteoporosis Care (IOC) has been emerging over the past decade. To support integrated care initiatives, the World Health Organisation (WHO) has developed the Integrated People Centred Health Services (IPCHS) framework, which consists of five interdependent strategies. Five electronic databases (PubMed, Embase, World of Science, CINAHL, and Scopus) were searched for relevant studies published from January 1, 2010 to December 2022. Initiatives implementing collaborative practices and at least two IPCHS strategies were included. Quality assessment was performed using the Effective Public Health Practice Project checklist. Seventy-six publications describing 69 implementations met the inclusion criteria; 90% of them were implemented at the hospital level, and over half focused on secondary fracture prevention. Three implementations captured all five IPCHS strategies, and half applied three. Substrategies targeting individuals as beneficiaries were frequently employed. Substrategies requiring fundamental shifts (e.g., systemic coordination and updating) were seldomly implemented. Substantive heterogeneity in substrategy operationalization was observed. Patient education, standardized care, team-based care, care coordinators, and health care provider training were commonly pursued. IOC interventions have focused mainly on secondary fracture prevention in a hospital setting and have been narrowly operationalized. Future implementation should: employ all five IPCHS strategies; better align programmes, providers, and regulatory frameworks, while adapting funding mechanisms; and operationalize broader and more innovative substrategies.Registration: This review has been registered at the international prospective register of systematic reviews PROSPERO (CRD42021250244).

Trends in anti-osteoporotic medication utilization following fragility fracture in the USA from 2011 to 2019

The purpose of this study was to determine whether there has been any change in osteoporosis treatment following primary fragility fractures and what agents were being given. The study found an overall low utilization rate with no difference in treatment utilization from 2011 to 2019.

PURPOSE

The aim of this study is to describe trends in the utilization of anti-osteoporotic medication after fragility fracture, including changes in the specific types of medications prescribed.

METHODS

Patients older than 65 with fragility fractures sustained from 2011 to 2019 were identified in the PearlDiver Patient Records Database. Osteoporosis treatment rate was defined as the rate at which patients were prescribed any of the fourteen most used anti-osteoporotic medications within 1 year of fragility fracture. Fragility fractures were subcategorized by type. Treatment of fragility fractures was further stratified by patient demographics (age and gender) and medication type.

RESULTS

This study showed an overall osteoporosis treatment rate of 8.01%, with treatment rates of 6.87% following hip fractures, 6.71% following upper extremity fractures, and 14.38% following vertebral compression fractures (VCF). From 2011 to 2018, there was no change in the overall fragility fracture treatment rate (p = 0.32). Of the three fracture categories analyzed, only the treatment rate for VCFs increased (p = 0.048). Osteoporosis treatment in patients with VCF increased among patients 65-74 years old (p < 0.05) and male patients (p = 0.013). Treatment in patients with upper extremity fractures increased among patients 70-74 years old (p = 0.038). Bisphosphonates were the most frequently prescribed class of medications. Bisphosphonates and denosumab increased in utilization (p = 0.049 and p < 0.001 respectively) while calcitonin utilization decreased (p < 0.001).

CONCLUSION

Besides the overall low utilization rate of osteoporosis treatment in patients following fragility fractures, there has been no change in the treatment utilization rate within the past decade. More resources and interventions need to be enforced for all providers managing these patients if we are ever to address the osteoporosis epidemic.

Comparison of the effectiveness of different machine learning algorithms in predicting new fractures after PKP for osteoporotic vertebral compression fractures

BACKGROUND

The use of machine learning has the potential to estimate the probability of a second classification event more accurately than traditional statistical methods, and few previous studies on predicting new fractures after osteoporotic vertebral compression fractures (OVCFs) have focussed on this point. The aim of this study was to explore whether several different machine learning models could produce better predictions than logistic regression models and to select an optimal model.

METHODS

A retrospective analysis of 529 patients who underwent percutaneous kyphoplasty (PKP) for OVCFs at our institution between June 2017 and June 2020 was performed. The patient data were used to create machine learning (including decision trees (DT), random forests (RF), support vector machines (SVM), gradient boosting machines (GBM), neural networks (NNET), and regularized discriminant analysis (RDA)) and logistic regression models (LR) to estimate the probability of new fractures occurring after surgery. The dataset was divided into a training set (75%) and a test set (25%), and machine learning models were built in the training set after ten cross-validations, after which each model was evaluated in the test set, and model performance was assessed by comparing the area under the curve (AUC) of each model.

RESULTS

Among the six machine learning algorithms, except that the AUC of DT [0.775 (95% CI 0.728-0.822)] was lower than that of LR [0.831 (95% CI 0.783-0.878)], RA [0.953 (95% CI 0.927-0.980)], GBM [0.941 (95% CI 0.911-0.971)], SVM [0.869 (95% CI 0.827-0.910), NNET [0.869 (95% CI 0.826-0.912)], and RDA [0.890 (95% CI 0.851-0.929)] were all better than LR.

CONCLUSIONS

For prediction of the probability of new fracture after PKP, machine learning algorithms outperformed logistic regression, with random forest having the strongest predictive power.

Effect of coordinator-based osteoporosis intervention on quality of life in patients with fragility fractures: a prospective randomized trial

We examined the effects of the coordinator-based intervention on quality of life (QOL) in the aftermath of a fragility fracture, as well as factors predictive of post-fracture QOL. The coordinator-based interventions mitigated the decrease in QOL. Secondary fracture after primary fracture, however, was a significant predictor of lower QOL.

PURPOSE

This study aimed to determine the effects of the coordinator-based intervention on QOL in the aftermath of a fragility fracture, as well as factors predictive of post-fracture QOL, in an Asian population.

METHODS

Patients with new fractures in the intervention group received the coordinator-based intervention by a designated nurse certified as a coordinator, within 3 months of injury. QOL was evaluated using the Japanese version of the EuroQol 5 Dimension 5 Level (EQ-5D-5L) scale  before the fracture (through patient recollections) and at 0.5, 1, and 2 years after the primary fracture.

RESULTS

Data for 141 patients were analyzed: 70 in the liaison intervention (LI) group and 71 in the non-LI group. Significant intervention effects on QOL were observed at 6 months after the fracture; the QOL score was 0.079 points higher in the LI group than in the non-LI group (p=0.019). Further, the LI group reported significantly less pain/discomfort at 2 years after the fracture, compared to the non-LI group (p=0.037). In addition, secondary fractures were found to significantly prevent improvement and maintenance of QOL during the recovery period (p=0.015).

CONCLUSION

Short-term intervention effects were observable 6 months after the primary fracture, with the LI group mitigated the decrease in QOL. Few patients in the LI group reported pain/discomfort 2 years after the fracture, but there is uncertainty regarding its clinical significance. Secondary fracture after initial injury was a significant predictor of lower QOL after a fracture.

Fragility Fracture Systems: International Perspectives - Asia & Australia

Background:

The incidence and burden of fragility fractures have reached the level where comprehensive systematic care is warranted to optimize the care of these patients. Hip fractures are the most frequently lethal and independence level changing fragility fractures, responsible for 30-day mortality comparable to high-energy trauma patients with injury severity scores over 12. It is a reasonable expectation that countries have a hip fracture treating system of care in place for this high-risk population. This review explores the systems of care from the Asia-Pacific Perspective.

Methods:

From the International Orthopaedic Trauma Association's member societies, nations from the Asia-Pacific Region were requested to contribute with an overview of their fragility fracture management systems. The content or the review was standardized by a template of headings, which each country endeavored to cover.

Results:

Australia, Japan, and South Korea contributed voluntarily from the 5 member countries of the region. Each country has made considerable efforts and achievements with diverse approaches to standardize and improve the care of fragility fractures, particularly hip fractures. Beyond the individual nations’ efforts there is also an existing Asia-Pacific Collaborative. The data collection and in some counties the existence of a registry is promising; funding and recognition of the problem among competing health care budget priorities are common.

Conclusions:

Our review covers some of the countries with strongest economy and highest health care standards. The lack of a universal robust system for hip fracture care is apparent. The data collection from registry initiations is expected to drive system development further in these countries and hopefully fast track the development in other countries within the most populous geographical region of the Earth.

Development and validation of a nomogram for predicting the probability of new vertebral compression fractures after vertebral augmentation of osteoporotic vertebral compression fractures

INTRODUCTION

New vertebral compression fractures (NVCFs) are adverse events after vertebral augmentation of osteoporotic vertebral compression fractures (OVCFs). Predicting the risk of vertebral compression fractures (VCFs) accurately after surgery is still a significant challenge for spinal surgeons. The aim of our study was to identify risk factors of NCVFs after vertebral augmentation of OVCFs and develop a nomogram.

METHODS

We retrospectively reviewed the medical records of patients with OVCFs who underwent percutaneous vertebroplasty (PVP) or percutaneous kyphoplasty (PKP). Patients were divided into the NVCFs group and control group, base on the patients with or without NVCFs within 2 years follow-up period after surgery. A training cohort of 403 patients diagnosed in our hospital from June 2014 to December 2016 was used for model development. The independent predictive factors of postoperative VCFs were determined by least absolute shrinkage and selection operator (LASSO) logistic regression, univariate analysis and multivariate logistic regression analysis. We provided a nomogram for predicting the risk of NVCFs based on independent predictive factors and used the receiver operating characteristic curve (ROC), calibration curve, and decision curve analyses (DCA) to evaluated the prognostic performance. After internal validation, the nomogram was further evaluated in a validation cohort of 159 patients included between January 2017 and June 2018.

RESULTS

Of the 403 patients in the training cohort, 49(12.16%) were NVCFs at an average of 16.7 (1 to 23) months within the 2 years follow-up period. Of the 159 patients in the validation cohort, 17(10.69%) were NVCFs at an average of 8.7 (1 to 15) months within the 2 years follow-up period. In the training cohort, the proportions of elderly patients older than 80 years were 32.65 and 13.56% in the NVCFs and control group, respectively (p = 0.003). The percentages of patients with previous fracture history were 26.53 and 12.71% in the NVCFs and control group, respectively (p = 0.010). The volume of bone cement were 4.43 ± 0.88 mL and 4.02 ± 1.13 mL in the NVCFs and Control group, respectively (p = 0.014). The differences have statistical significance in the bone cement leakage, bone cement dispersion, contact with endplate, anti-osteoporotic treatment, post-op Cobb angle and Cobb angle restoration characteristics between the two groups. The model was established by multivariate logistic regression analysis to obtain independent predictors. In the training and validation cohort, the AUC of the nomogram were 0.882 (95% confidence interval (CI), 0.824-0.940) and 0.869 (95% CI: 0.811-0.927), respectively. The C index of the nomogram was 0.886 in the training cohort and 0.893 in the validation cohort, demonstrating good discrimination. In the training and validation cohort, the optimal calibration curves demonstrated the coincidence between prediction and actual status, and the decision curve analysis demonstrated that the full model had the highest clinical net benefit across the entire range of threshold probabilities.

CONCLUSION

A nomogram for predicting NVCFs after vertebral augmentation was established and validated. For patients evaluated by this model with predictive high risk of developing postoperative VCFs, postoperative management strategies such as enhance osteoporosis-related health education and management should be considered.