Epidemiology of Fragility Fractures and Social Impact

Pre-Fracture Functional Status and Early Functional Recovery are Significant Predictors of Instrumental Activities of Daily Living After Hip Fracture: A Prospective Cohort Study

Introduction

Although the overall quality of medicine has improved in recent decades, the functional capacity in many hip fracture patients remains insufficient. The goal of the present study was to identify significant predictors of Instrumental Activities of Daily Living (IADL) measured by the Lawton-Brody scale at 3- and 6-month follow-up in patients with hip fractures admitted to a hospital.

Methods

This observational cohort study included 191 patients with acute hip fractures. IADL was measured at baseline and after 3 and 6 months using the Lawton-Brody scale. Multivariable logistic regression analysis was carried out using pre-fracture functional status, sociodemographic variables, hand grip strength (HGS), surgical procedure, complications, and length of hospital stay, Short Physical Performance Battery, and Barthel Index (BI) on the fifth postoperative day as potential predictors for IADL after a hip fracture surgery.

Results

The mean age of the participants was 80.3 ± 6.8 years, and 77.0% of our cohort were women. Multivariate regression analysis revealed that pre-fracture functional status and early functional recovery were independent predictors of IADL after hip fracture surgery.

Conclusions

Clinicians should take steps to improve functional outcomes by changing how patients are rehabilitated in the first days after hip fracture surgery, especially for the group of patients with a lower functional status before the fracture.

Predictive characteristics and model development for acute heart failure preceding hip fracture surgery in elderly hypertensive patients: a retrospective machine learning approach

BACKGROUND

Hip fractures are a serious health concern among the elderly, particularly in patients with hypertension, where the incidence of acute heart failure preoperatively is high, significantly affecting surgical outcomes and prognosis. This study aims to assess the risk of preoperative acute heart failure in elderly patients with hypertension and hip fractures by constructing a predictive model using machine learning on potential risk factors.

METHODS

A retrospective study design was employed, collecting preoperative data from January 2018 to December 2019 of elderly hypertensive patients with hip fractures at the Third Hospital of Hebei Medical University. Using SPSS 24.0 and R software, predictive models were established through LASSO regression and multivariable logistic regression analysis. The models' predictive performance was evaluated using metrics such as the concordance index (C-index), receiver operating characteristic curve (ROC curve), and decision curve analysis (DCA), providing insights into the nomogram's predictive accuracy and clinical utility.

RESULTS

Out of 1038 patients screened, factors such as gender, age, history of stroke, arrhythmias, anemia, and complications were identified as independent risk factors for preoperative acute heart failure in the study population. Notable predictors included Sex (OR 0.463, 95% CI 0.299-0.7184, P = 0.001), Age (OR 1.737, 95% CI 1.213-2.488, P = 0.003), Stroke (OR 1.627, 95% CI 1.137-2.327, P = 0.008), Arrhythmia (OR 2.727, 95% CI 1.490-4.990, P = 0.001), Complications (OR 2.733, 95% CI 1.850-4.036, P < 0.001), and Anemia (OR 3.258, 95% CI 2.180-4.867, P < 0.001). The prediction model of acute heart failure was Logit(P) = -2.091-0.770 × Sex + 0.552 × Age + 0.487 × Stroke + 1.003 × Arrhythmia + 1.005 × Complications + 1.181 × Anemia, and the prediction model nomogram was established. The model's AUC was 0.785 (95% CI, 0.754-0.815), Decision curve analysis (DCA) further validated the nomogram's excellent performance, identifying an optimal cutoff value probability range of 3% to 58% for predicting preoperative acute heart failure in elderly patients with hypertension and hip fractures.

CONCLUSION

The predictive model developed in this study is highly accurate and serves as a powerful tool for the clinical assessment of the risk of preoperative acute heart failure in elderly hypertensive patients with hip fractures, aiding in the optimization of preoperative risk assessment and patient management.

Early hip fracture surgery and rehabilitation. How to improve functional quality outcomes. A retrospective study

INTRODUCTION

Hip fractures are one of the major disability causes associated with a high morbidity and mortality rate. Early surgery and stable fixation could be associated with better pain control, possibly lower mortality rates, and early recovery of autonomy.

Dynamic spinal orthoses self-reported effects in patients with back pain due to vertebral fragility fractures: A multi-center prospective cohort study

BACKGROUND

Vertebral fragility fractures (VFFs) commonly result from low bone mass and microarchitecture deterioration of bone tissue. spinal orthoses are common non-pharmacological options for managing vertebral fracture pain. However, the effects of spinal orthoses on pain, physical functioning, and quality of life (QoL) are still debated.

OBJECTIVE

This survey aimed to investigate the patients-reported outcomes of a dynamic spinal orthosis prescribed in the routine clinical practice of VFFs management.

METHODS

This multi-center national-wide prospective cohort study assessed older patients (aged > 60 years) diagnosed with acute VFFs and prescribed with a dynamic spinal orthosis (Spinfast®). A survey questionnaire was realized and included sections on patient characterization, osteoporosis characterization, spinal orthosis, clinical outcomes, pain medications, and osteoporosis medications. The questionnaire was administered at baseline and after three months. A total of 68 patients completed the questionnaire at three months. Most patients had one or two VFFs and were treated with pain medications and osteoporosis medications. Compliance and tolerability of the spinal orthosis were assessed, and clinical outcomes such as pain intensity, physical functioning, and QoL were measured.

RESULTS

The results showed no significant differences in outcomes between age subgroups. Italian physical medicine and rehabilitation physicians were commonly involved in the management of VFFs patients. Sixty-six patients completed the questionnaire. The results showed that pain intensity, physical functioning and QoL improved after three months of spinal orthosis wearing (p< 0.0001).

CONCLUSION

The correct management of VFFs is mandatory to improve pain and reduce disability, and our findings suggested a positive role of dynamic spinal orthosis to improve the comprehensive management of VFFs patients. However, high-quality research trials are warranted to provide clear recommendations for the correct clinical management of VFF.

Predictive value of machine learning on fracture risk in osteoporosis: a systematic review and meta-analysis

OBJECTIVES

Early identification of fracture risk in patients with osteoporosis is essential. Machine learning (ML) has emerged as a promising technique to predict the risk, whereas its predictive performance remains controversial. Therefore, we conducted this systematic review and meta-analysis to explore the predictive efficiency of ML for the risk of fracture in patients with osteoporosis.

METHODS

Relevant studies were retrieved from four databases (PubMed, Embase, Cochrane Library and Web of Science) until 31 May 2023. A meta-analysis of the C-index was performed using a random-effects model, while a bivariate mixed-effects model was used for the meta-analysis of sensitivity and specificity. In addition, subgroup analysis was performed according to the types of ML models and fracture sites.

RESULTS

Fifty-three studies were included in our meta-analysis, involving 15 209 268 patients, 86 prediction models specifically developed for the osteoporosis population and 41 validation sets. The most commonly used predictors in these models encompassed age, BMI, past fracture history, bone mineral density T-score, history of falls, BMD, radiomics data, weight, height, gender and other chronic diseases. Overall, the pooled C-index of ML was 0.75 (95% CI: 0.72, 0.78) and 0.75 (95% CI: 0.71, 0.78) in the training set and validation set, respectively; the pooled sensitivity was 0.79 (95% CI: 0.72, 0.84) and 0.76 (95% CI: 0.80, 0.81) in the training set and validation set, respectively; and the pooled specificity was 0.81 (95% CI: 0.75, 0.86) and 0.83 (95% CI: 0.72, 0.90) in the training set and validation set, respectively.

CONCLUSIONS

ML has a favourable predictive performance for fracture risk in patients with osteoporosis. However, most current studies lack external validation. Thus, external validation is required to verify the reliability of ML models.

PROSPERO REGISTRATION NUMBER

CRD42022346896.

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.

Bone Cells Metabolic Changes Induced by Ageing

Bone is a living organ that exhibits active metabolic processes, presenting constant bone formation and resorption. The bone cells that maintain local homeostasis are osteoblasts, osteoclasts, osteocytes and bone marrow stem cells, their progenitor cells. Osteoblasts are the main cells that govern bone formation, osteoclasts are involved in bone resorption, and osteocytes, the most abundant bone cells, also participate in bone remodeling. All these cells have active metabolic activities, are interconnected and influence each other, having both autocrine and paracrine effects. Ageing is associated with multiple and complex bone metabolic changes, some of which are currently incompletely elucidated. Ageing causes important functional changes in bone metabolism, influencing all resident cells, including the mineralization process of the extracellular matrix. With advancing age, a decrease in bone mass, the appearance of specific changes in the local microarchitecture, a reduction in mineralized components and in load-bearing capacity, as well as the appearance of an abnormal response to different humoral molecules have been observed. The present review points out the most important data regarding the formation, activation, functioning, and interconnection of these bone cells, as well as data on the metabolic changes that occur due to ageing.

Quality and reporting of patient-reported outcomes in elderly patients with hip fracture: a systematic review

OBJECTIVE

To assess how patient-reported outcomes (PROs) are reported and to assess the quality of reporting PROs for elderly patients with a hip fracture in both randomised controlled trials (RCTs) and observational studies.

DESIGN

Systematic review.

DATA SOURCES

Medline, Embase and CENTRAL were searched on 1 March 2013 to 25 May 2021.

ELIGIBILITY CRITERIA

RCTs and observational studies on geriatric (≥65 years of age) patients, with one or more PRO as outcome were included.

DATA EXTRACTION AND SYNTHESIS

Primary outcome was type of PRO; secondary outcome and quality assessment was measured by adherence to the Consolidated Standards of Reporting Trials (CONSORT) extension for patient-reported outcomes (CONSORT-PRO). Because of heterogeneity in study population and outcomes, data pooling was not possible.

RESULTS

3659 studies were found in the initial search. Of those, 67 were included in the final analysis. 83.6% of studies did not adequately mention missing data, 52.3% did not correctly report how PROs were collected and 61.2% did not report adequate effect size. PRO limitations were adequately reported in 20.9% of studies and interpretation of PROs was adequately reported in 19.4% of studies. Most Quality of Life (QoL) outcomes were measured by the EuroQol 5-Dimension 3-Levels, and pain as well as patient satisfaction by Visual Analogue Scale.

CONCLUSION

This study found that a high variety of PRO measures are used to evaluate geriatric hip fracture care. In addition, 47.8% of studies examining PROs in elderly patients with hip fracture do not satisfy at least 50% of the CONSORT-PRO criteria. This enables poorly conducted research to be published and used in evidence-based medicine and, consequently, shared decision-making. More efforts should be undertaken to improve adequate reporting. We believe extending the CONSORT-PRO extension to Strengthening the Reporting of Observational Studies in Epidemiology for observational studies would be a valuable addition to current guidelines.

Characteristics of fallers who later sustain a hip fracture: a NOREPOS study

Fall prevention programs have shown inconclusive results concerning hip fracture reduction. We found that fallers with poor health, low societal participation, and use of psychotropics/painkillers had a threefold to fivefold increased hip fracture risk compared to non-fallers without these risk factors. This may help target fall prevention towards high-risk individuals.

INTRODUCTION

To investigate whether self-reported information on health, societal participation, and drug use in older people, easily obtainable by health care providers, contribute to predict future hip fracture beyond self-reported falls.

METHODS

We used data from 3801 women and 6439 men aged 70-79 years participating in population-based studies in five counties in Norway 2000-2003. Height and weight were measured. Socioeconomic status, lifestyle, health status, and history of falling were self-reported through questionnaires. Falls last year were dichotomized into one or more versus no falls. Hip fractures were identified by linkage to hospital data with follow-up through 2013. Hazard ratios (HR) with 95% confidence intervals (95% CI) for hip fracture by combinations of risk factors with history of falling were estimated using Cox proportional hazards regression.

RESULTS

More women (32.4%) than men (27.7%) reported one or more falls during the previous year, and 17.9% of women (n = 682) and 8.9% of men (n = 572) suffered a hip fracture during median 11.6 years of follow-up. Poor health, low societal participation, and use of psychotropics/analgesics among fallers were strong predictors of hip fracture. The presence of all three risk factors and history of falling was associated with HR 2.92 (95% CI 2.10-4.05) for hip fracture in women and HR 4.60 (95% CI 2.71-7.81) in men compared to non-fallers without these factors.

CONCLUSION

Our study indicates that self-assessment of health, information about activities outside home, and drug use among fallers far better identify high risk of hip fracture in older people than information about falls alone.

Square-Stepping Exercise Program Effects on Fall-Related Fitness and BDNF Levels in Older Adults in Korea: A Randomized Controlled Trial

The risk of dementia increases with age. To mitigate this risk, we examined the effect of a square-stepping exercise (SSE) program on fall-related fitness and brain-derived neurotrophic factor (BDNF) levels. Twenty older adults in Korea were randomly assigned to either the experimental or control group (each group n = 10). Participants performed SSE for 70 min per session, twice a week, for 12 weeks with a certified instructor. The average age of the participants was 74.80 ± 6.763 years in the exercise group and 72.50 ± 6.519 years in the control group. The experiment group showed significant improvement (p < 0.01) in the lower muscle strength post-intervention. The paired t-test revealed a significant improvement (p < 0.01) in the experimental group and a significant difference in the interaction effect (p < 0.01) in the BDNF levels. There was a significant improvement (p < 0.05) in the BDNF levels in the experimental group and a significant decrease (p < 0.05) in the control group. The SSE program had a positive effect on fall-related fitness and BDNF levels.

Osteocytes in bone aging: Advances, challenges, and future perspectives

Osteocytes play a critical role in maintaining bone homeostasis and in regulating skeletal response to hormones and mechanical loading. Substantial evidence have demonstrated that osteocytes and their lacunae exhibit morphological changes in aged bone, indicating the underlying involvement of osteocytes in bone aging. Notably, recent studies have deciphered aged osteocytes to have characteristics such as impaired mechanosensitivity, accumulated cellular senescence, dysfunctional perilacunar/canalicular remodeling, and degenerated lacuna-canalicular network. However, detailed molecular mechanisms of osteocytes remain unclear. Nonetheless, osteocyte transcriptomes analyzed via advanced RNA sequencing (RNA-seq) techniques have identified several bone aging-related genes and signaling pathways, such as Wnt, Bmp/TGF, and Jak-STAT. Moreover, inflammation, immune dysfunction, energy shortage, and impaired hormone responses possibly affect osteocytes in age-related bone deterioration. In this review, we summarize the hallmarks of aging bone and osteocytes and discuss osteocytic mechanisms in age-related bone loss and impaired bone quality. Furthermore, we provide insights into the challenges faced and their possible solutions when investigating osteocyte transcriptomes. We also highlight that single-cell RNA-seq can decode transcriptomic messages in aged osteocytes; therefore, this technique can promote novel single cell-based investigations in osteocytes once a well-established standardized protocol specific for osteocytes is developed. Interestingly, improved understanding of osteocytic mechanisms have helped identify promising targets and effective therapies for aging-related osteoporosis and fragile fractures.

Development of a data-driven case-mix adjustment model for comparison of hospital performance in hip fracture care

To compare hospitals' hip fracture patient mortality in a quality of care registry, correction for patient characteristics is needed. This study evaluates in 39,374 patients which characteristics are associated with 30 and 90-day mortality, and showed how using these characteristics in a case mix-model changes hospital comparisons within the Netherlands.

PURPOSE

Mortality rates after hip fracture surgery are considerable and may be influenced by patient characteristics. This study aims to evaluate hospital variation regarding patient demographics and disease burden, to develop a case-mix adjustment model to analyse differences in hip fracture patients' mortality to calculate case-mix adjusted hospital-specific mortality rates.

METHODS

Data were derived from 64 hospitals participating in the Dutch Hip Fracture Audit (DHFA). Adult hip fracture patients registered in 2017-2019 were included. Variation of case-mix factors between hospitals was analysed, and the association between case-mix factors and mortality at 30 and 90 days was determined through regression models.

RESULTS

There were 39,374 patients included. Significant variation in case-mix factors amongst hospitals was found for age ≥ 80 (range 25.8-72.1% p < 0.001), male gender (12.0-52.9% p < 0.001), nursing home residents (42.0-57.9% p < 0.001), pre-fracture mobility aid use (9.9-86.7% p < 0,001), daily living dependency (27.5-96.5% p < 0,001), ASA-class ≥ 3 (25.8-83.3% p < 0.001), dementia (3.6-28.6% p < 0.001), osteoporosis (0.0-57.1% p < 0.001), risk of malnutrition (0.0-29.2% p < 0.001) and fracture types (all p < 0.001). All factors were associated with 30- and 90-day mortality. Eight hospitals showed higher and six showed lower 30-day mortality than expected based on their case-mix. Six hospitals showed higher and seven lower 90-day mortality than expected. The specific outlier hospitals changed when correcting for case-mix factors.

CONCLUSIONS

Dutch hospitals show significant case-mix variation regarding hip fracture patients. Case-mix adjustment is a prerequisite when comparing hospitals' 30-day and 90-day hip fracture patients' mortality. Adjusted mortality may serve as a starting point for improving hip fracture care.