The effect of social deprivation on hip fracture incidence in England has not changed over 14 years: an analysis of the English Hospital Episodes Statistics (2001-2015)

Socioeconomic status, osteoporosis and fragility fractures

Low socioeconomic status (SES) is associated with a higher risk of fragility fractures, as well as higher mortality in the first year post-fracture. The SES variables that have the greatest impact are educational level, income level, and cohabitation status. Significant disparities exist among racial and ethnic minorities in access to osteoporosis screening and treatment. In Spain, a higher risk of fractures has been described in people with a low income level, residence in rural areas during childhood and low educational level. The Civil War cohort effect is a significant risk factor for hip fracture. There is significant geographic variability in hip fracture care, although the possible impact of socioeconomic factors has not been analyzed. It would be desirable to act on socioeconomic inequalities to improve the prevention and treatment of osteoporotic fractures.

Fracture Risk and Health Profiles Differ According to Relationship Status: Findings from the Hertfordshire Cohort Study

Registry studies have suggested associations between relationship status and fracture risk. We considered associations between relationship status and incident fracture in the Hertfordshire Cohort Study, comprising community-dwelling older adults, and explored associations between socioeconomic and lifestyle factors with relationship status. 2997 participants completed a baseline questionnaire (1998-2004) and clinic visit. Participants were followed up until December 2018 using Hospital Episode Statistics, which report clinical outcomes using codes from the 10th revision of the International Classification of Diseases (ICD-10); these codes were used to ascertain incident fractures. Relationship status (not currently married/cohabiting vs currently married/cohabiting) at baseline was examined in relation to incident fracture using Cox regression. Associations between baseline characteristics and relationship status were examined using logistic regression. Mean baseline age was 66.2 years. 80% were married/cohabiting at baseline; 15% had an incident fracture (mean (SD) follow-up duration: 14.4 (4.5) years). The following were related to greater likelihood of not being married/cohabiting: older age (women only); higher BMI (women only); current smoking; high alcohol consumption (men only); poorer diet quality (men only); lower physical activity; leaving school before age 15 (women only); and not owning one's home. Those not married/cohabiting had greater risk of incident fracture compared to those who were (age-adjusted hazard ratios (95% CI) 1.58 (1.06, 2.38) among men, 1.35 (1.06, 1.72) among women); associations were attenuated after accounting for the above factors associated with relationship status in the corresponding sex. This suggests that differences in health profiles and lifestyle according to relationship status may explain the association between relationship status and fracture risk.

Improving patients' experiences of diagnosis and treatment of vertebral fracture: co-production of knowledge sharing resources

BACKGROUND

Osteoporosis involves changes to bones that makes them prone to fracture. The most common osteoporotic fracture is vertebral, in which one or more spinal vertebrae collapse. People with vertebral fracture are at high risk of further fractures, however around two-thirds remain undiagnosed. The National Institute for Health and Care Excellence (NICE) recommends bone protection therapies to reduce this risk. This study aimed to co-produce a range of knowledge sharing resources, for healthcare professionals in primary care and patients, to improve access to timely diagnosis and treatment.

METHODS

This study comprised three stages: 1. In-depth interviews with primary care healthcare professionals (n = 21) and patients with vertebral fractures (n = 24) to identify barriers and facilitators to diagnosis and treatment. 2. A taxonomy of barriers and facilitators to diagnosis were presented to three stakeholder groups (n = 18), who suggested ways of identifying, diagnosing and treating vertebral fractures. Fourteen recommendations were identified using the nominal group technique. 3. Two workshops were held with stakeholders to co-produce and refine the prototype knowledge sharing resources (n = 12).

RESULTS

Stage 1: Factors included lack of patient information about symptoms and risk factors, prioritisation of other conditions and use of self-management. Healthcare professionals felt vertebral fractures were harder to identify in lower risk groups and mistook them for other conditions. Difficulties in communication between primary and secondary care meant that patients were not always informed of their diagnosis, or did not start treatment promptly. Stage 2: 14 recommendations to improve management of vertebral fractures were identified, including for primary care healthcare professionals (n = 9) and patients (n = 5). Stage 3: The need for allied health professionals in primary care to be informed about vertebral fractures was highlighted, along with ensuring that resources appealed to under-represented groups. Prototype resources were developed. Changes included help-seeking guidance and clear explanations of medical language.

CONCLUSIONS

The study used robust qualitative methods to co-produce knowledge sharing resources to improve diagnosis. A co-production approach enabled a focus on areas stakeholders thought to be beneficial to timely and accurate diagnosis and treatment. Dissemination of these resources to a range of stakeholders provides potential for substantial reach and spread.

Using pre-fracture mobility to augment prediction of post-operative outcomes in hip fracture

Purpose

Pre-operative scores based on patient characteristics are commonly used to predict hip fracture outcomes. Mobility, an indicator of pre-operative function, has been neglected as a potential predictor. We assessed the ability of pre-fracture mobility to predict post-operative outcomes following hip fracture.

Methods

We analysed prospectively collected data from hip fracture surgery patients at a large-volume trauma unit. Mobility was classified into four groups. Post-operative outcomes studied were mortality and residence at 30 days, medical complications within 30- or 60-days post-operatively, and prolonged length of stay (LOS, ≥ 28 days). We performed multivariate regression analyses adjusting for age and sex to assess the discriminative ability of the Nottingham Hip Fracture Score (NHFS), with and without mobility, for predicting outcomes using the area under the receiver operating characteristic curve (AUROC).

Results

1919 patients were included, mean age 82.6 (SD 8.2); 1357 (70.7%) were women. Multivariate analysis demonstrated patients with worse mobility had a 1.7–5.5-fold higher 30-day mortality (p ≤ 0.001), and 1.9–3.2-fold higher likelihood of prolonged LOS (p ≤ 0.001). Worse mobility was associated with a 2.3–3.8-fold higher likelihood of living in a care home at 30-days post-operatively (p < 0.001) and a 1.3–2.0-fold higher likelihood of complications within 30 days (p ≤ 0.001). Addition of mobility improved NHFS discrimination for discharge location, AUROC NHFS 0.755 [0.733–0.777] to NHFS + mobility 0.808 [0.789–0.828], and LOS, AUROC NHFS 0.584 [0.557–0.611] to NHFS + mobility 0.616 [0.590–0.643].

Conclusion

Incorporating mobility assessment into risk scores may improve casemix adjustment, prognostication following hip fracture, and identify high-risk patient groups requiring enhanced post-operative care at admission.

Lower socioeconomic status is associated with increased co-morbidity burden and independently associated with time to surgery, length of hospitalisation, and readmission rates of hip fracture patients

This study examines the relationship between socioeconomic status, comorbidities, and clinical outcomes of hip fracture patients. Lower socioeconomic status is not only associated with poorer comorbidities but is also independently impacting surgical access and outcomes. This can be considered a "double setback" in the management of hip fractures.

PURPOSE

The effect of socioeconomic status on hip fracture outcomes remains controversial. We examine the relationship between SES and patient comorbidity, care access, and clinical outcomes of surgically managed hip fracture patients.

METHODS

Using healthcare payor status as a surrogate for SES, patients operated for fragility hip fractures between 2013 and 2016 were dichotomised based on payor status, namely private healthcare (PRIV) versus subsidised healthcare (SUB). PRIV patients were compared with SUB patients in terms of demographic data, ASA scores, co-morbidity burden (Charlson comorbidity index, CCI), time to surgery, length of acute hospitalisation, and 90-day readmission rates.

RESULTS

A total of 145 patients in group PRIV and 1146 patients in group SUB were included. SUB patients had a higher mean Charlson Co-morbidity Index (CCI) (p = 0.01), a longer length of hospitalisation (p = 0.001), an increased delay in surgery (p = 0.005), and higher 90-day readmission rates (p = 0.013). Lower SES (p = 0.01), older age (p = 0.01), higher CCI (p &lt; 0.01), and a higher American Society of Anaesthesiologists score (ASA) (p = 0.03) were predictive of time to surgery. Lower SES (p = 0.02) and higher CCI (p &lt; 0.001) were predictive of the length of hospitalisation. Lower SES (p = 0.04) and higher CCI (p &lt; 0.001) were predictive of 90-day readmission rates.

CONCLUSIONS

Low SES is associated with higher CCI in surgically treated hip fracture patients. However, it is independently associated with slower access to surgery, a longer hospital stay, and higher readmission rates. Hence, lower SES, with its associated higher CCI and independent impact on surgical access and outcomes, can be considered a "double setback" in the management of fragility hip fractures.

UK clinical guideline for the prevention and treatment of osteoporosis

The National Osteoporosis Guideline Group (NOGG) has revised the UK guideline for the assessment and management of osteoporosis and the prevention of fragility fractures in postmenopausal women, and men age 50 years and older. Accredited by NICE, this guideline is relevant for all healthcare professionals involved in osteoporosis management.

INTRODUCTION

The UK National Osteoporosis Guideline Group (NOGG) first produced a guideline on the prevention and treatment of osteoporosis in 2008, with updates in 2013 and 2017. This paper presents a major update of the guideline, the scope of which is to review the assessment and management of osteoporosis and the prevention of fragility fractures in postmenopausal women, and men age 50 years and older.

METHODS

Where available, systematic reviews, meta-analyses and randomised controlled trials were used to provide the evidence base. Conclusions and recommendations were systematically graded according to the strength of the available evidence.

RESULTS

Review of the evidence and recommendations are provided for the diagnosis of osteoporosis, fracture-risk assessment and intervention thresholds, management of vertebral fractures, non-pharmacological and pharmacological treatments, including duration and monitoring of anti-resorptive therapy, glucocorticoid-induced osteoporosis, and models of care for fracture prevention. Recommendations are made for training; service leads and commissioners of healthcare; and for review criteria for audit and quality improvement.

CONCLUSION

The guideline, which has received accreditation from the National Institute of Health and Care Excellence (NICE), provides a comprehensive overview of the assessment and management of osteoporosis for all healthcare professionals involved in its management. This position paper has been endorsed by the International Osteoporosis Foundation and by the European Society for the Clinical and Economic Aspects of Osteoporosis, Osteoarthritis and Musculoskeletal Diseases.

Socio-economic inequalities in fragility fracture incidence: a systematic review and meta-analysis of 61 observational studies

Individuals with low socio-economic status (SES) have a more than 25% higher risk of fragility fractures than individuals with high SES. Body mass index and lifestyle appear to mediate the effect of SES on fracture risk. Strategies to prevent fractures should aim to reduce unhealthy behaviours through tackling structural inequalities.

INTRODUCTION

This systematic review and meta-analysis aimed to evaluate the impact of socio-economic status (SES) on fragility fracture risk.

METHODS

Medline, Embase, and CINAHL databases were searched from inception to 28 April 2021 for studies reporting an association between SES and fragility fracture risk among individuals aged ≥50 years. Risk ratios (RR) were combined in meta-analyses using random restricted maximum likelihood models, for individual-based (education, income, occupation, cohabitation) and area-based (Index of Multiple Deprivation, area income) SES measures.

RESULTS

A total of 61 studies from 26 different countries including more than 19 million individuals were included. Individual-based low SES was associated with an increased risk of fragility fracture (RR 1.27 [95% CI 1.12, 1.44]), whilst no clear association was seen when area-based measures were used (RR 1.08 [0.91, 1.30]). The strength of associations was influenced by the type and number of covariates included in statistical models: RR 2.69 [1.60, 4.53] for individual-based studies adjusting for age, sex and BMI, compared with RR 1.06 [0.92, 1.22] when also adjusted for health behaviours (smoking, alcohol, and physical activity). Overall, the quality of the evidence was moderate.

CONCLUSION

Our results show that low SES, measured at the individual level, is a risk factor for fragility fracture. Low BMI and unhealthy behaviours are important mediators of the effect of SES on fracture risk. Strategies to prevent fractures and reduce unhealthy behaviours should aim to tackle structural inequalities in society thereby reducing health inequalities in fragility fracture incidence.

Higher prevalence of non-skeletal comorbidity related to X-linked hypophosphataemia: a UK parallel cohort study using CPRD

OBJECTIVES

X-Linked hypophosphataemic rickets (XLH) is a rare multi-systemic disease of mineral homeostasis that has a prominent skeletal phenotype. The aim of this study was to describe additional comorbidities in XLH patients compared with general population controls.

METHODS

The Clinical Practice Research Datalink (CPRD) GOLD was used to identify a cohort of XLH patients (1995-2016), along with a non-XLH cohort matched (1 : 4) on age, sex and GP practice. Using the CALIBER portal, phenotyping algorithms were used to identify the first diagnosis (and associated age) of 273 comorbid conditions during patient follow-up. Fifteen major disease categories were used and the proportion of patients having ≥1 diagnosis was compared between cohorts for each category and condition. Main analyses were repeated according to the Index of Multiple Deprivation (IMD).

RESULTS

There were 64 and 256 patients in the XLH and non-XLH cohorts, respectively. There was increased prevalence of endocrine [OR 3.46 (95% CI: 1.44, 8.31)] and neurological [OR 3.01 (95% CI: 1.41, 6.44)] disorders among XLH patients. Across all specific comorbidities, four were at least twice as likely to be present in XLH cases, but only depression met the Bonferroni threshold: OR 2.95 (95% CI: 1.47, 5.92). Distribution of IMD among XLH cases indicated greater deprivation than the general population.

CONCLUSION

We describe a higher risk of mental illness in XLH patients compared with matched controls, and greater than expected deprivation. These findings may have implications for clinical practice guidelines and decisions around health and social care provision for these patients.

Social deprivation predicts adverse health outcomes after hospital admission with hip fracture in England

We found social deprivation to be associated with higher mortality in the year following hip fracture among men and women aged 60 years and older in England. In those who did survive, deprivation was associated with longer hospital stays and greater risk of subsequent emergency readmission particularly for patients with dementia.

INTRODUCTION

Social deprivation predicts a range of adverse health outcomes; however, its impact on outcomes following hip fracture is not established. We examined the effect of area-level social deprivation on outcomes following hospital admission for hip fracture in England.

METHODS

We used English Hospital Episodes Statistics linked to the National Hip Fracture Database (April 2011-March 2015) and Office for National Statistics mortality database, to identify patients aged 60+ years admitted with hip fracture. Deprivation was measured using Index of Multiple Deprivation quintiles; Q1-least deprived; Q5-most deprived, and outcomes by mortality over 1-year, length-of-stay in NHS acute and rehabilitation hospitals ('superspell'), and emergency 30-day readmission.

RESULTS

We identified 218,907 admissions with an index hip fracture (mean age 82.8 [standard deviation, SD 8.4] years; 72.6% female). Each quintile of deprivation was associated with greater mortality; age-adjusted 30-day mortality odds ratio, OR 1.30 [95% confidence interval, CI: 1.24, 1.37], p < 0.001, equating to on average 1038 fewer deaths/year among those who are least deprived (Q1 versus 2-5). Similarly, at 365 days, those most deprived had 24% higher mortality (age-sex-comorbidity-adjusted OR:1.24 [1.20, 1.28], p < 0.001; Q5 versus Q1). Among survivors, mean superspell was longer in the most versus least deprived (Q5:24.4 [SD 21.7] days, Q1:23.3 [SD 22.1], p < 0.001). Readmission was more common in those most versus least deprived (age-sex-comorbidity-adjusted OR 1.27 [1.22, 1.32], p < 0.001).

CONCLUSION

Greater deprivation is associated with reduced survival at all timepoints in the year following hip fracture. Among survivors, hospital stay is increased as is readmission risk. The extent to which configuration of English hospital services, rather than patient case-mix, explains these apparent health inequalities remains to be determined.

Inégalités sociales de santé et médecine d’urgence

En France, le système de santé est basé sur un principe d’universalité et les indicateurs macroscopiques y sont satisfaisants. Toutefois, des inégalités de santé persistent touchant particulièrement les populations vulnérables. Celles-ci peuvent voir s’ériger des barrières financières, institutionnelles ou cognitives qui entravent leur accès aux soins et participent à l’altération de leur état de santé. L’exercice de la médecine d’urgence n’est pas exempté des problématiques soulevées par ces inégalités sociales de santé qu’il s’agisse : du rôle des services d’urgence dans la sanctuarisation de l’accès aux soins ; des pathologies urgentes plus fréquentes ou plus graves observées parmi les populations les plus vulnérables ; de la qualité des soins administrés qui est parfois suboptimale. La première partie de cet article indique ce qui définit la vulnérabilité d’une population puis il présente les spécificités des prises en charge aux urgences. Il détaille ensuite les barrières à l’accès aux soins qui persistent ainsi que les répercussions du renoncement sur le recours aux services d’urgence. Enfin, l’exemple du contexte actuel de la pandémie du Sars-Cov2 permet de mettre en lumière les nombreuses interactions qui existent entre vulnérabilité et état de santé. Les questions de l’organisation de l’offre de soins en amont des urgences et des conditions réelles de son accessibilité pour tous sont des éléments fondamentaux qui impactent la pratique de la médecine d’urgence. Il appartient aussi aux professionnels de s’en saisir et de mobiliser avec force les décideurs publics sur ces sujets.

Socioeconomic Deprivation and Its Adverse Association with Adolescent Fracture Care Compliance

Background:

Socioeconomic deprivation increases fracture incidence in adolescents, but its impact on fracture care is unknown. The area deprivation index (ADI), which incorporates 17 factors from the U.S. Census, measures socioeconomic deprivation in neighborhoods. This investigation aimed to determine the impact of socioeconomic deprivation and other socioeconomic factors on fracture care compliance in adolescents.

Methods:

This study included patients who were 11 to 18 years of age and received fracture care at a single urban children’s hospital system between 2015 and 2017. Demographic information (sex, race, caregiver status, insurance type) and clinical information (mechanism of injury, type of treatment) were obtained. The ADI, which has a mean score of 100 points and a standard deviation of 20 points, was used to quantify socioeconomic deprivation for each patient’s neighborhood. The outcome variables related to compliance included the quantity of no-show visits at the orthopaedic clinic and delays in follow-up care of >1 week. Risk factors for suboptimal compliance were evaluated by bivariate analysis and multivariate logistic regression.

Results:

The cohort included 457 adolescents; 75.9% of the patients were male, and the median age was 16.1 years. The median ADI was 101.5 points (interquartile range, 86.3 to 114.9 points). Bivariate analyses demonstrated that higher ADI, black race, single-parent caregiver status, Medicaid insurance, non-sports mechanisms of injury, and surgical management are associated with suboptimal fracture care compliance. Adolescents from the most socially deprived regions were significantly more likely to have delays in care (33.8% compared with 20.1%; p = 0.037) and miss scheduled orthopaedic visits (29.9% compared with 7.1%; p < 0.001) compared with adolescents from the least deprived regions. ADI, Medicaid insurance, and initial presentation to the emergency department were independent predictors of suboptimal care compliance, when controlling for other variables.

Conclusions:

Socioeconomic deprivation is associated with an increased risk of suboptimal fracture care compliance in adolescents. Clinicians can utilize caregiver and insurance status to better understand the likelihood of fracture care compliance. These findings highlight the importance of understanding differences in each family’s ability to adhere to the recommended follow-up and of implementing measures to enhance compliance.

How does deprivation influence secondary care costs after hip fracture?

We studied the association between deprivation and healthcare costs after hip fracture. Hospital costs in the year following hip fracture were £1120 higher for those living in more deprived areas. Most of this difference was explained by pre-existing health inequalities which should be targeted to reduce this disparity.

INTRODUCTION

To quantify differences in hospital costs following hip fracture between those living in higher and lower deprivation areas of England, we investigate pre- and post-fracture variables that explain the association.

METHODS

We used English Hospital Episodes Statistics linked to the National Hip Fracture Database (April 2011-March 2015) and national mortality data to identify patients admitted with hip fracture aged 60+ years. Hospital care was costed using 2017/2018 national reference costs, by index of multiple deprivation quintile. Three generalised linear model regressions estimated associations between deprivation and costs and the pre- and post-fracture variables that mediate this relationship.

RESULTS

Patients from the most deprived areas had higher hospital costs in the year post-fracture (£1,120; 95% CI £993 to £1,247) than those from the least deprived areas. If all patients could have incurred similar costs to those in the least deprived quintile, this would equate to an annual reduction in expenditure of £28.8 million. Pre-fracture characteristics, particularly comorbidities and anaesthetic risk grade, accounted for approximately 50% of the association between deprivation and costs. No evidence was found that post-fracture variables, such as transfer to a residential or nursing home, contributed to the association between deprivation and costs.

CONCLUSIONS

Socioeconomic inequalities are associated with substantial costs for the NHS after hip fracture. We did not identify post-fracture targets for intervention to reduce the impact of inequalities on post-fracture costs. The case for interventions to reduce comorbid conditions, improve health-related behaviours and prevent falls in deprived areas is clear but challenging to implement.

Hip fractures and characteristics of living area: a fine-scale spatial analysis in France

We investigated the association between hip fracture incidence and living area characteristics in France. The spatial distribution of hip fracture incidence was heterogeneous and there was a significant relationship between social deprivation, urbanization, health access, and hip fracture risk.

INTRODUCTION

Several studies have shown great disparities in spatial repartition of hip fractures (HF). The aim of the study was to analyze the association between HF incidence and characteristics of the living area.

METHODS

All patients aged 50 or older, living in France, who were hospitalized for HF between 2012 and 2014 were included, using the French national hospital discharge database. Standardized incidence ratio (SIR) was calculated for each spatial unit and adjusted on age and sex. An ecological regression was performed to analyze the association between HF standardized incidence and ecological variables. We adjusted the model for neighborhood spatial structure. We used three variables to characterize the living areas: a deprivation index (French-EDI); healthcare access (French standardized index); land use (percentage of artificialized surfaces).

RESULTS

A total of 236,328 HF were recorded in the French hospital national database, leading to an annual HF incidence of 333/100,000. The spatial analysis revealed geographical variations of HF incidence with SIR varying from 0.67 (0.52; 0.85) to 1.45 (1.23; 1.70). There was a significant association between HF incidence rates and (1) French-EDI (trend p = 0.0023); (2) general practitioner and nurse accessibility (trend p = 0.0232 and p = 0.0129, respectively); (3) percentage of artificialized surfaces (p < 0.0001).

CONCLUSION

The characteristics of the living area are associated with significant differences in the risk of hip fracture of older people.

Twelve month mortality rates and independent living in people aged 65 years or older after isolated hip fracture: A prospective registry-based study

INTRODUCTION

This study investigated which patient and injury characteristics are associated with 12-month mortality rates and living independently after isolated hip fracture.

METHODS

Older adults aged ≥65 years were included if they had an isolated hip fracture, were admitted to hospital between July 2009 and June 2016, inclusive, and were registered to the Victorian Orthopaedic Trauma Outcomes Registry. Mortality up to 12 months (365 days) post-injury, and functional outcomes (Glasgow Outcome Scale-Extended; GOS-E) at 12 months post-injury were examined. Multivariable Cox proportional hazards regression was used to estimate adjusted hazard ratios (aHRs), and multivariable logistic regression was used to identify predictors of living independently compared with severe disability or death on the GOS-E.

RESULTS

4,912 patients were included, of whom 28% died, 46% had moderate-severe disability, and 26% were living independently 12 months post-injury. Mortality rates were lower in women (aHR=0.56, 95%CI: 0.50, 0.63), and in people injured in a high fall vs low fall (aHR=0.47, 95%CI: 0.31, 0.72). Mortality rates were higher in people in the older age groups (75-84 years: aHR=1.53, 95%CI: 1.21, 1.93; 95+ years: aHR=3.58, 95%CI: 2.68, 4.77), living in areas with the highest level of socioeconomic disadvantage (aHR=1.25, 95%CI: 1.01, 1.55), with a Charlson Comorbidity Index weighting of one (aHR=1.60, 95%CI: 1.36, 1.88) or more than one (aHR=2.21, 95%CI: 1.94, 2.53), whose injury occurred in a residential institution versus at home (aHR=2.63, 95%CI: 1.97, 3.52), that resulted in intensive care unit admission (aHR=1.68, 95%CI: 1.21, 2.32), and in people who did not have surgery versus people who had internal fixation (aHR=1.65, 95%CI: 1.33, 2.04). Independent living was inversely associated with most of the same characteristics; however, people also had lower odds of living independently if they were from metropolitan residential areas versus rural areas (aOR=0.77, 95%CI: 0.62, 0.96), or had mild to moderate (aOR=0.33, 95%CI: 0.27, 0.39) or marked to severe (aOR=0.13, 95%CI: 0.09, 0.20) preinjury disability vs no preinjury disability.

CONCLUSIONS

Characteristics that are associated with social disadvantage, frailty, poor health and reduced independence before injury were associated with increased rates of death and reduced odds of living independently 12 months after isolated hip fracture.

AGS and NIA Bench-to Bedside Conference Summary: Osteoporosis and Soft Tissue (Muscle and Fat) Disorders

This report summarizes the presentations and recommendations of the eleventh annual American Geriatrics Society and National Institute on Aging research conference, "Osteoporosis and Soft Tissue (Muscle/Fat) Disorders," on March 11-12, 2019, in Bethesda, Maryland. Falls, fractures, and sarcopenia have a major impact on health in older adults, and they are interconnected by known risk factors. The link between osteoporosis, which is common in older adults, and the risk of falls is well known. Sarcopenia, the age-related decline in skeletal muscle mass and function, is also associated with an increased risk of falls and fractures because it reduces strength and leads to functional limitations. In addition to increasing the risk of falls, sarcopenia and osteoporosis can lead to frailty, reduced quality of life, morbidity, and mortality. The conference highlighted the impact of bone and soft tissue disorders on quality of life, morbidity, and mortality in older adults. Presenters described factors that contribute to these disorders; health disparities experienced by various subpopulations; and promising biological, pharmacologic, and behavioral interventions to prevent or treat these disorders. The workshop identified many research gaps and questions along with research recommendations that have the potential to enhance the prospect of healthy aging and improved quality of life for older adults. J Am Geriatr Soc 68:31-38, 2019.

Effects of deprivation, ethnicity, gender and age on distal radius fracture incidence and surgical intervention rate

INTRODUCTION

Social deprivation has been shown to be associated with increased incidence of many types of fracture but the causes for this have not been established. The aim of this study was to establish if distal radius fracture was associated with deprivation and investigate reasons for this.

METHOD

Data was reviewed of 4463 adult patients who attended our Emergency Department over a four year period. The Index of Multiple Deprivation was used to measure deprivation for each patient. Modelling techniques were used to investigate the relationship between fracture rate and deprivation, gender, ethnicity and age.

RESULTS

Distal radius fracture rate was higher for patients in more deprived quintiles. Mean age in the most deprived two quintiles was 54.4 years compared to 60.1 years in the least deprived three quintiles. Modelling showed important differences between ethnic groups. Deprivation was an independent risk factor for distal radius fracture only in white patients. Deprived white women had a lower second metacarpal cortical index than women of other ethnicities suggesting increased bone fragility. Being male is a risk factor for fracture when deprivation, ethnicity and age are taken into account. Incidence rate ratio of the least deprived quintile compared to the most deprived was 0.33 (95% CI: 0.30-0.37) for white men and 0.47 (95% CI: 0.44-0.49) for white women.

CONCLUSION

Effective interventions exist to prevent further fragility fracture and this work allows geographical areas at risk to be identified. Presentation with a distal radius fracture provides an opportunity to implement interventions. In the current economic climate resources are scarce and must be used prudently. Resources should be targeted to those at risk patients from deprived areas and preventative strategies put in place.

Update on Selective Regional Analgesia for Hip Surgery Patients

In hip surgery, regional anesthesia offers benefits in pain management and recovery. There are a wide range of regional analgesic options; none have shown to be superior. Lumbar plexus block, femoral nerve block, and fascia iliaca block are the most supported by published literature. Other techniques, such as selective obturator and/or lateral femoral cutaneous nerve blocks, represent alternatives. Newer approaches, such as quadratus lumborum block and local infiltration analgesia, require rigorous studies. To realize long-term outcome benefits, postoperative regional analgesia must be tailored to the individual patient and last longer.

Inequalities in hip fracture incidence are greatest in the North of England: regional analysis of the effects of social deprivation on hip fracture incidence across England

OBJECTIVES

Hip fracture risk varies by geography and by levels of deprivation. We examined the effect of local area-level deprivation on hip fracture incidence across nine regions in England, using 14 years of hospital data, to determine whether inequalities in hip fracture incidence rates vary across geographic regions in England.

STUDY DESIGN

Sequential annual cross-sectional studies over 14 years.

METHODS

We used English Hospital Episodes Statistics (2001/02-2014/15) to identify hip fractures in adults aged 50+ years and mid-year population estimates (2001-2014) from the Office for National Statistics. The Index of Multiple Deprivation was used to measure local area deprivation. We calculated age-standardised hip fracture incidence rates per 100,000 population, stratified by gender, geographic region, deprivation quintiles and time-period, using the 2001 English population as the reference population. Using Poisson regression, we calculated age-adjusted incidence rate ratios (IRRs) for hip fracture, stratified as above.

RESULTS

Over 14 years, we identified 747,369 hospital admissions with an index hip fracture. Age-standardised hip fracture incidence was highest in the North East for both men and women. In North England (North East, North West and Yorkshire and the Humber), hip fracture incidence was relatively higher in more deprived areas, particularly among men: IRR most vs least deprived quintile 2.06 (95% confidence interval [CI] = 2.00-2.12) in men, 1.62 (95% CI 1.60-1.65) in women. A relationship, albeit less marked, between deprivation and hip fracture incidence was observed among men in the Midlands and South, but with no clear pattern among women.

CONCLUSIONS

Regional variation in hip fracture incidence exists across England, with the greatest absolute burden of incident hip fractures observed in the North East for both men and women. Across local areas in North England, absolute and relative inequalities in hip fracture incidence were greater than in other regions. Our findings highlight the need for improved fracture prevention programmes that aim to reduce regional and social inequalities in hip fracture incidence.