Quality of life, resource use, and costs related to hip fracture in Estonia

"Multidisciplinary fast-track" care can significantly reduce risk of mortality among hip fracture patients at least 80 years old: a single-center retrospective study

BACKGROUND

"Multidisciplinary fast-track" (MFT) care can accelerate recovery and improve prognosis after surgery, but whether it is effective in older people after hip fracture surgery is unclear.

METHODS

We retrospectively compared one-year all-cause mortality between hip fracture patients at least 80 years old at our institution who underwent hip fracture surgery between January 2014 and December 2018 and who then received MFT or conventional care. Multivariable regression was used to assess the association between MFT care and mortality after adjustment for confounders.

RESULTS

The final analysis included 247 patients who received MFT care and 438 who received conventional orthopedic care. The MFT group showed significantly lower one-year mortality (8.9% vs. 14.4%, P = 0.037). Log-rank testing of Kaplan-Meier survival curves confirmed the survival advantage. However, the two groups did not differ significantly in rates of mortality during hospitalization or at 30 or 90 days after surgery. Regression analysis confirmed that MFT care was associated with lower risk of one-year mortality (hazard ratio [HR] 0.47, 95% confidence interval [CI] 0.281-0.788, P = 0.04), and the survival benefit was confirmed in subgroups of patients with anemia (HR 0.453, 95% CI 0.268-0.767, P = 0.003) and patients with American Society of Anesthesiologists grade III (HR 0.202, 95% CI 0.08-0.51, P = 0.001).

CONCLUSIONS

MFT care can reduce one-year mortality among hip fracture patients at least 80 years old. This finding should be verified and extended in multi-center randomized controlled trials.

Exploring Quality of Life and Mortality in Pertrochanteric Fragility Hip Fractures in Northern Greece: A Single Tertiary Center Study

Background: Fragility-related pertrochanteric fractures have become a significant public health concern, with a rising incidence attributed to the expanding elderly demographic. Assessing patient-reported health-related quality of life (HRQoL), mortality, and factors correlated with them serves as a crucial metric in evaluating the effectiveness of hip fracture surgery. Methods: In a single-center retrospective study, 259 patients underwent surgical treatment with a cephalomedullary nail, with a mean follow-up of 21.7 months. Health-related quality of life (HRQoL) was assessed using SF-12 (12-item Short Form) and EQ-5D (EuroQoL-5 Dimensions) questionnaires. Mobility status was measured by the Crude Mobility Index (CMI). Surveys were administered during hospitalization and six months postoperatively. Statistical analysis involved descriptive statistics, non-parametric controls (Kendall, Mann-Whitney, and Wilcoxon), and Spearman correlation and logistic regression analysis, which were conducted using IBM SPSS version 28. Results: A statistically significant decrease was observed in the mean EQ-5D and SF-12 scores at 6 months post-op compared to the pre-fracture status. The ASA (American Society of Anaesthesiologists) score showed a significant correlation with the decrease in HRQoL measured by the SF-12 questionnaire. The 30-day post-operative mortality rate was 9.3%, increasing to 32.4% at 1 year. Notably, the 30-day mortality significantly rose during the pandemic era (5.0% vs. 12.0%; p = 0.003). Conclusions: Pertrochanteric hip fractures cause a lasting decline in quality of life. Annual mortality is high, and further investigations are needed to formulate policies that prevent hip fractures and reduce mortality rates.

The implications of competing risks and direct treatment disutility in cardiovascular disease and osteoporotic fracture: risk prediction and cost effectiveness analysis

Background

Clinical guidelines commonly recommend preventative treatments for people above a risk threshold. Therefore, decision-makers must have faith in risk prediction tools and model-based cost-effectiveness analyses for people at different levels of risk. Two problems that arise are inadequate handling of competing risks of death and failing to account for direct treatment disutility (i.e. the hassle of taking treatments). We explored these issues using two case studies: primary prevention of cardiovascular disease using statins and osteoporotic fracture using bisphosphonates.

Objectives

Externally validate three risk prediction tools [QRISK®3, QRISK®-Lifetime, QFracture-2012 (ClinRisk Ltd, Leeds, UK)]; derive and internally validate new risk prediction tools for cardiovascular disease [competing mortality risk model with Charlson Comorbidity Index (CRISK-CCI)] and fracture (CFracture), accounting for competing-cause death; quantify direct treatment disutility for statins and bisphosphonates; and examine the effect of competing risks and direct treatment disutility on the cost-effectiveness of preventative treatments.

Design, participants, main outcome measures, data sources

Discrimination and calibration of risk prediction models (Clinical Practice Research Datalink participants: aged 25-84 years for cardiovascular disease and aged 30-99 years for fractures); direct treatment disutility was elicited in online stated-preference surveys (people with/people without experience of statins/bisphosphonates); costs and quality-adjusted life-years were determined from decision-analytic modelling (updated models used in National Institute for Health and Care Excellence decision-making).

Results

CRISK-CCI has excellent discrimination, similar to that of QRISK3 (Harrell's c = 0.864 vs. 0.865, respectively, for women; and 0.819 vs. 0.834, respectively, for men). CRISK-CCI has systematically better calibration, although both models overpredict in high-risk subgroups. People recommended for treatment (10-year risk of ≥ 10%) are younger when using QRISK-Lifetime than when using QRISK3, and have fewer observed events in a 10-year follow-up (4.0% vs. 11.9%, respectively, for women; and 4.3% vs. 10.8%, respectively, for men). QFracture-2012 underpredicts fractures, owing to under-ascertainment of events in its derivation. However, there is major overprediction among people aged 85-99 years and/or with multiple long-term conditions. CFracture is better calibrated, although it also overpredicts among older people. In a time trade-off exercise (n = 879), statins exhibited direct treatment disutility of 0.034; for bisphosphonates, it was greater, at 0.067. Inconvenience also influenced preferences in best-worst scaling (n = 631). Updated cost-effectiveness analysis generates more quality-adjusted life-years among people with below-average cardiovascular risk and fewer among people with above-average risk. If people experience disutility when taking statins, the cardiovascular risk threshold at which benefits outweigh harms rises with age (≥ 8% 10-year risk at 40 years of age; ≥ 38% 10-year risk at 80 years of age). Assuming that everyone experiences population-average direct treatment disutility with oral bisphosphonates, treatment is net harmful at all levels of risk.

Limitations

Treating data as missing at random is a strong assumption in risk prediction model derivation. Disentangling the effect of statins from secular trends in cardiovascular disease in the previous two decades is challenging. Validating lifetime risk prediction is impossible without using very historical data. Respondents to our stated-preference survey may not be representative of the population. There is no consensus on which direct treatment disutilities should be used for cost-effectiveness analyses. Not all the inputs to the cost-effectiveness models could be updated.

Conclusions

Ignoring competing mortality in risk prediction overestimates the risk of cardiovascular events and fracture, especially among older people and those with multimorbidity. Adjustment for competing risk does not meaningfully alter cost-effectiveness of these preventative interventions, but direct treatment disutility is measurable and has the potential to alter the balance of benefits and harms. We argue that this is best addressed in individual-level shared decision-making.

Study registration

This study is registered as PROSPERO CRD42021249959.

Funding

This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research programme (NIHR award ref: 15/12/22) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 4. See the NIHR Funding and Awards website for further award information.

Effects of a diabetes mellitus-specific care intervention and home environment among older adults following hip fracture surgery

OBJECTIVES

To explore the impact of home environment on effects of a diabetes mellitus (DM)-specific care model among older adults following hip-fracture surgery.

METHODS

A secondary analysis using the Home Environmental Barriers Scale assessed home environment (intervention group=81, control group=79) at 1- and 3-months post-discharge. Outcomes of physical functioning were assessed at 1-, 3-, 6-, and 12-months post-discharge.

RESULTS

The intervention group had better home environmental improvements compared with the control group. Participants were characterized as having good or poor environmental improvements. Those with good improvements and received the intervention had better activities of daily living compared with matched controls. Participants with poor improvements and received the intervention had better scores for hip range of motion and quadriceps muscle strength compared with matched controls.

DISCUSSION

A DM-specific home rehabilitation for older adults following hip-fracture surgery that includes assessment of the home environment can facilitate complex postoperative functional recovery.

Costs of patient management over 18 months following a hip, clinical vertebral, distal forearm, or proximal humerus fragility fracture in France-results from the ICUROS study

This observational study prospectively assessed direct and indirect costs related to patient management over 18 months following hip, clinical vertebral, humeral, or distal forearm fracture events in France. It appears that their levels were much higher than the previous estimates, raising the burden of osteoporosis-related fractures on public health expenditures.

INTRODUCTION

This prospective observational study assessed the costs related to patient management over the 18-month period following the event of a hip, clinical vertebral, humeral, or distal forearm fracture in France.

METHODS

Individuals aged ≥ 50 years old with the diagnosis of a fragility fracture in six French University Hospitals were enrolled in the International Costs and Utilities Related to Osteoporotic Fractures Study (ICUROS). All resources used over the defined period and related to fracture and the underlying osteoporosis management were collected by questionnaires at baseline, 4 months, 12 months, and 18 months. Information was collected by direct or phone contact completed by patients' records and interviews of partner, family, and general practitioners. Costs were estimated from a societal perspective, including direct and indirect costs. We implemented recursive partitioning analysis (RPA), a statistical learning algorithm to identify predictors of costs.

RESULTS

Four hundred thirty-one patients (mean age 72.5 years; 84.6% women) were evaluated. Among them, 17.6% had a prior fracture in the last 5 years. Approximately half of the whole group lived alone in the community, and 56.8% were from a low- or middle-income category. Over the 18-month period of evaluation, total costs (including initial fracture-related and follow-up ones) were 23 926 €, 14 561 €, and 6 905 € for the hip, clinical vertebral, and distal forearm fracture, respectively. Over a year, costs related to a humeral fracture were 10 319 €. The RPA identified mobility impairment prior to fracture as a predictor of increase in costs related to fracture.

CONCLUSIONS

Our study for the first time prospectively assessed total costs related to the four main osteoporotic fractures in France. It appears that their levels were much higher than previous estimates, raising the burden of osteoporosis-related fractures on public health expenditures.

Early postoperative Barthel index score and long-term walking ability in patients with trochanteric fractures walking independently before injury: a retrospective cohort study

INTRODUCTION

Trochanteric fractures are one of the most common fragility fractures, and the number of the patients is increasing worldwide. Identifying prognostic factors is important to manage and minimize the social losses caused by postoperative walking impairment. The purpose of this retrospective study is to clarify the association between early postoperative Barthel index score and postoperative long-term walking ability among patients with trochanteric fractures who could walk independently before injury.

MATERIALS AND METHODS

Consecutive patients with trochanteric fractures aged ≥ 65 years who were walking independently before injury were included. Patients were divided into two groups according to the Barthel index score measured within 1 week after surgery; the cut-off value was set at 20 points. The prevalence of walking impairment after 1 year was compared between these two groups after adjusting for confounding factors in a complete case analysis and using the data introduced by the multiple imputation method.

RESULTS

Among the 758 eligible patients, 254 patients (34%) had their walking ability evaluated after 1 year from injury. The patients in the lower Barthel index group showed a significantly impaired walking ability in both analyses (adjusted odds ratio 5.5 and 2.4, 95% confidence intervals 2.4-13 and 1.5-3.8, respectively).

CONCLUSIONS

The present results suggested that the Barthel index score measured in the early postoperative period after trochanteric fractures was associated with the level of long-term walking impairment in patients who could walk independently before injury.

Causal variation modelling identifies large inter- and intra-regional disparities in physical therapy offered to hip fracture patients in Estonia

PURPOSE

An essential measure of hip fracture (HF) rehabilitation, the amount of physical therapy (PT) used per patient, has been severely understudied. This study (1) evaluates post-acute PT use after HF in Estonia, (2) presents causal variation modelling for examining inter- and intra-regional disparities, and (3) analyses its temporal trends.

MATERIALS AND METHODS

This retrospective cohort study used validated population-wide health data, including patients aged ≥50 years, with an index HF diagnosed between January 2009 and September 2017. Patients' 6-month PT use was analysed and reported separately for acute and post-acute phases.

RESULTS

While most of the included 11,461 patients received acute rehabilitation, only 40% of them received post-acute PT by a median of 6 h. Analyses based on measures of central tendency revealed 2.5 to 2.6-fold inter-regional differences in HF post-acute rehabilitation. Variation modelling additionally detected intra-regional disparities, showing imbalances in the fairness of allocating local rehabilitation resources between a county's patients.

CONCLUSIONS

This study demonstrates the advantages of causal variation modelling for identifying inter- and intra-regional disparities in rehabilitation. The analyses revealed persisting large multi-level disparities and accompanying overall inaccessibility of PT in HF rehabilitation in Estonia, showing an urgent need for system-wide improvements.Implications for rehabilitationThis study demonstrates the advantages of causal variation modelling for identifying inter- and intra-regional disparities in rehabilitation, using an essential outcome measure - used physical therapy hours.The study revealed large multi-level disparities and overall inaccessibility of physical therapy in hip fracture rehabilitation in Estonia, showing an urgent need for system-wide improvements.This study expands our knowledge on unstudied topics - hip fracture post-acute care and long-term physical therapy use.This regional analysis provides the first evidence-based regional-level basis for improving the rehabilitation system in Estonia.

Comparing three machine learning approaches to design a risk assessment tool for future fractures: predicting a subsequent major osteoporotic fracture in fracture patients with osteopenia and osteoporosis

Four machine learning models were developed and compared to predict the risk of a future major osteoporotic fracture (MOF), defined as hip, wrist, spine and humerus fractures, in patients with a prior fracture. We developed a user-friendly tool for risk calculation of subsequent MOF in osteopenia patients, using the best performing model.

INTRODUCTION

Major osteoporotic fractures (MOFs), defined as hip, wrist, spine and humerus fractures, can have serious consequences regarding morbidity and mortality. Machine learning provides new opportunities for fracture prediction and may aid in targeting preventive interventions to patients at risk of MOF. The primary objective is to develop and compare several models, capable of predicting the risk of MOF as a function of time in patients seen at the fracture and osteoporosis outpatient clinic (FO-clinic) after sustaining a fracture.

METHODS

Patients aged > 50 years visiting an FO-clinic were included in this retrospective study. We compared discriminative ability (concordance index) for predicting the risk on MOF with a Cox regression, random survival forests (RSF) and an artificial neural network (ANN)-DeepSurv model. Missing data was imputed using multiple imputations by chained equations (MICE) or RSF's imputation function. Analyses were performed for the total cohort and a subset of osteopenia patients without vertebral fracture.

RESULTS

A total of 7578 patients were included, 805 (11%) patients sustained a subsequent MOF. The highest concordance-index in the total dataset was 0.697 (0.664-0.730) for Cox regression; no significant difference was determined between the models. In the osteopenia subset, Cox regression outperformed RSF (p = 0.043 and p = 0.023) and ANN-DeepSurv (p = 0.043) with a c-index of 0.625 (0.562-0.689). Cox regression was used to develop a MOF risk calculator on this subset.

CONCLUSION

We show that predicting the risk of MOF in patients who already sustained a fracture can be done with adequate discriminative performance. We developed a user-friendly tool for risk calculation of subsequent MOF in patients with osteopenia.

A systematic review of the indirect and social costs studies in fragility fractures

Fragility fractures (FF) are the main clinical consequence of osteoporosis. FF lead to a loss in quality of life (QL), increased dependency and higher costs due to loss of productivity. Despite this, very few studies have been performed about the indirect or social costs of FF. The objective of this review was to systematically synthesize published evidence regarding indirect costs of FF. We conducted a systematic literature review of empirical studies published as peer review papers between 1998 and 2019. A total of 295 papers were found about costs and osteoporosis. After an iterative process, only 16 papers fit the criteria of selection. Despite the important consequences for QL, only seven studies have included research of the issue and only one about dependency. Treatments are cost-effective, but adherence is low. Multiple fractures, older age and low socioeconomic profile imply higher costs. Most studies are performed using the human capital methodology. The main two variables are loss of productivity and absenteeism. Most of the people included in the samples are out of the active population. Those studies that include a follow-up period vary in a range between 3 months and 2 years. Depending on sample and methodology, the indirect costs (IC) are between 2 and 50%. The direct costs associated with FF generally far outweigh the IC. There is a lack of studies about the effects of treatments and adherence and about the dependency system. The changing role of women in coming generations will increase indirect costs.

Quality of life after hip fracture: a 12-month prospective study

BACKGROUND

Hip fracture is an important and frequent health problem worldwide. To date, there are still limited studies focused on the analysis of health-related quality of life (HRQOL) after a hip fracture in the Spanish population, especially with long-term follow-up.

OBJECTIVE

To determine the HRQOL at 12 months after hip fracture and to identify potential factors associated with HRQOL.

DESIGN

Prospective observational study.

SETTING

Traumatology units of two university hospitals in province Cáceres (Spain).

PARTICIPANTS

A total of 224 patients were admitted to the unit and required immediate surgery due to a hip fracture.

METHODS

HRQOL was measured with the EuroQol-5D questionnaire (EQ-5D) and the SF-12 Health Survey.

RESULTS

Scores from the visual analog scale EQ-5D decreased significantly (p < 0.001) from 72.8 at baseline to 48.3 after 1 month, to 48.2 after 6 months and to 46.1 after 12 months. The EQ-5D index score showed a similar significant reduction (p < 0.001) from 0.6 to 0.1, 0.3 and 0.3, respectively. Values of the physical component summary (PCS-12) significantly decreased (p < 0.001) from 38.6 at baseline to 31.0, 33.1 and 33.5. The mental component summary (MCS-12) decreased from 46.5 to 44.8 after 6 months (p = 0.022) and 44.3 after 12 months (p = 0.005). Factors potentially associated with HRQOL at 12 months after hip fracture were depression status after 12 months (B = 0-1.876; 95% CI [-2.409 to -1.343]; p < 0.001), functional ambulation classification after 12 months (B = -12.133; 95% CI [-17.970 to -6.297]; p < 0.001), EQ-5D VAS at baseline (B = 0.223; 95% CI [0.115-0.330]; p < 0.001), and age (B = -0.323; 95% CI [-0.594 to -0.053; p = 0.015).

CONCLUSIONS

Patients experience a significant impairment in HRQOL H after a hip fracture, especially in self-care, pain/discomfort, usual activities, mobility and anxiety/depression. The decline in the HRQOL is effective the first month and lasts at least 12 months after the surgical intervention.

Denosumab, raloxifene, romosozumab and teriparatide to prevent osteoporotic fragility fractures: a systematic review and economic evaluation

BACKGROUND

Fragility fractures are fractures that result from mechanical forces that would not ordinarily result in fracture.

OBJECTIVES

The objectives were to evaluate the clinical effectiveness, safety and cost-effectiveness of non-bisphosphonates {denosumab [Prolia®; Amgen Inc., Thousand Oaks, CA, USA], raloxifene [Evista®; Daiichi Sankyo Company, Ltd, Tokyo, Japan], romosozumab [Evenity®; Union Chimique Belge (UCB) S.A. (Brussels, Belgium) and Amgen Inc.] and teriparatide [Forsteo®; Eli Lilly and Company, Indianapolis, IN, USA]}, compared with each other, bisphosphonates or no treatment, for the prevention of fragility fracture.

DATA SOURCES

For the clinical effectiveness review, nine electronic databases (including MEDLINE, EMBASE and the World Health Organization International Clinical Trials Registry Platform) were searched up to July 2018.

REVIEW METHODS

A systematic review and network meta-analysis of fracture and femoral neck bone mineral density were conducted. A review of published economic analyses was undertaken and a model previously used to evaluate bisphosphonates was adapted. Discrete event simulation was used to estimate lifetime costs and quality-adjusted life-years for a simulated cohort of patients with heterogeneous characteristics. This was done for each non-bisphosphonate treatment, a strategy of no treatment, and the five bisphosphonate treatments previously evaluated. The model was populated with effectiveness evidence from the systematic review and network meta-analysis. All other parameters were estimated from published sources. An NHS and Personal Social Services perspective was taken, and costs and benefits were discounted at 3.5% per annum. Fracture risk was estimated from patient characteristics using the QFracture® (QFracture-2012 open source revision 38, Clinrisk Ltd, Leeds, UK) and FRAX® (web version 3.9, University of Sheffield, Sheffield, UK) tools. The relationship between fracture risk and incremental net monetary benefit was estimated using non-parametric regression. A probabilistic sensitivity analysis and scenario analyses were used to assess uncertainty.

RESULTS

Fifty-two randomised controlled trials of non-bisphosphonates were included in the clinical effectiveness systematic review and an additional 51 randomised controlled trials of bisphosphonates were included in the network meta-analysis. All treatments had beneficial effects compared with placebo for vertebral, non-vertebral and hip fractures, with hazard ratios varying from 0.23 to 0.94, depending on treatment and fracture type. The effects on vertebral fractures and the percentage change in bone mineral density were statistically significant for all treatments. The rate of serious adverse events varied across trials (0-33%), with most between-group differences not being statistically significant for comparisons with placebo/no active treatment, non-bisphosphonates or bisphosphonates. The incremental cost-effectiveness ratios were > £20,000 per quality-adjusted life-year for all non-bisphosphonate interventions compared with no treatment across the range of QFracture and FRAX scores expected in the population eligible for fracture risk assessment. The incremental cost-effectiveness ratio for denosumab may fall below £30,000 per quality-adjusted life-year at very high levels of risk or for high-risk patients with specific characteristics. Raloxifene was dominated by no treatment (resulted in fewer quality-adjusted life-years) in most risk categories.

LIMITATIONS

The incremental cost-effectiveness ratios are uncertain for very high-risk patients.

CONCLUSIONS

Non-bisphosphonates are effective in preventing fragility fractures, but the incremental cost-effectiveness ratios are generally greater than the commonly applied threshold of £20,000-30,000 per quality-adjusted life-year.

STUDY REGISTRATION

This study is registered as PROSPERO CRD42018107651.

FUNDING

This project was funded by the National Institute for Health Research (NIHR) Health Technology Assessment programme and will be published in full in Health Technology Assessment; Vol. 24, No. 29. See the NIHR Journals Library website for further project information.

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

Individuals with low socio-economic status (SES) have a higher risk of dying following hip fracture compared with individuals with high SES. Evidence on social inequalities in non-hip fractures is lacking as well as evidence on the impact of SES on health-related quality of life post fracture.

INTRODUCTION

Fragility fractures, especially of the hip, cause substantial excess mortality and impairment in health-related quality of life (HRQoL). This systematic review and meta-analysis aimed to investigate the association between socio-economic status (SES) and post-fracture mortality and HRQoL.

METHODS

PubMed, EMBASE and CINAHL databases were searched from inception to the last week of November 2018 for studies reporting an association between SES and post-fracture mortality and/or HRQoL among people aged ≥ 50 years. Risk ratios (RRs) were meta-analyzed using a standard inverse-variance-weighted random effects model. Studies using individual-level and area-based SES measures were analyzed separately.

RESULTS

A total of 24 studies from 15 different countries and involving more than one million patients with hip fractures were included. The overall risk of mortality within 1-year post-hip fracture in individuals with low SES was 24% higher than in individuals with high SES (RR 1.24, 95% CI 1.19 to 1.29) for individual-level SES measures, and 14% (RR 1.14, 95% CI 1.09 to 1.19) for area-based SES measures. The quality of the evidence for the outcome mortality was moderate. Using individual SES measures, we estimated the excess HRQoL loss to be 5% (95% CI - 1 to 10%) among hip fracture patients with low SES compared with high SES.

CONCLUSIONS

We found a consistently increased risk of post-hip fracture mortality with low SES across SES measures and across countries with different political structures and different health and social care infrastructures. The impact of SES on post-fracture HRQoL remains uncertain due to sparse and low-quality evidence.

Associations of body mass index and diabetes with hip fracture risk: a nationwide cohort study

Background

The high prevalence of diabetes is associated with body mass index (BMI), and diabetes can cause many complications, such as hip fractures. This study investigated the effects of BMI and diabetes on the risk of hip fractures and related factors.

Methods

We retrospectively reviewed data from 22,048 subjects aged ≧ 40 years from the National Health Interview Survey in Taiwan (NHIST) in 2001, 2005, and 2009. We linked the NHIST data for individual participants with the National Health Insurance Research Database (NHIRD), which includes the incidence of hip fracture from 2000 to 2013. We defined five categories for BMI: low BMI (BMI < 18.5), normal BMI (18.5 ≦ BMI < 24), overweight (24 ≦ BMI < 27), mild obesity (27 ≦ BMI < 30), and moderate obesity (BMI ≧ 30). The Cox proportional hazards model was used to analyze the effects of BMI and diabetes on risk of hip fracture.

Results

The Cox proportional hazards model shows that hip fracture risk in participants with diabetes was 1.64 times that of non-diabetes patients (95% confidence interval [CI]:1.30–2.15). Participants with low BMIs showed a higher hip fracture risk (HR: 1.75) than those with normal BMI. Among the five BMI groups, compared with non-diabetes patients, only diabetes patients with a normal BMI showed a significantly higher risk on hip fracture (HR: 2.13, 95% CI: 1.48–3.06). In participants with diabetes, compared with those with normal BMI, those with overweight or obesity showed significantly lower hip fracture risks (HR: 0.49 or 0.42). The hip fracture risk in participants who expend ≧ 500 kcal/week in exercise was 0.67 times lower than in those who did not exercise.

Conclusions

Diabetes and low BMI separately are important risk factors for hip fracture. There was an interaction between diabetes and BMI in the relationship with hip fracture (p = 0.001). The addition of energy expenditure through exercise could effectively decrease hip fracture risk, regardless of whether the participants have diabetes or not. The results of this study could be used as a reference for health promotion measures for people with diabetes.

Health-related quality of life during the first year after a hip fracture: results of the Mexican arm of the International Cost and Utility Related to Osteoporotic Fractures Study (MexICUROS)

We investigated changes in health-related quality of life (HRQoL) due to hip fracture in Mexican adults aged ≥ 50 years during the first year post-fracture. Mean accumulated loss was 0.27 quality-adjusted life years (QALYs). HRQoL before fracture was the main contributor to explain the loss of QALYs.

INTRODUCTION

We aimed to estimate the health-related quality of life (HRQoL) loss over 1 year in patients sustaining a hip fracture in Mexico.

METHODS

Individuals aged ≥ 50 years old with diagnosis of a low-energy-induced hip fracture enrolled in the International Costs and Utilities Related to Osteoporotic Fractures Study (ICUROS) composed the study population. After a recall of their own pre-fracture status, HRQoL was prospectively collected in three phases over 12 months of follow-up using EQ-5D-3L. The UK preference weight set was applied to calculate the utility values. The accumulated quality-adjusted life years (QALYs) loss in the first year post-fracture was estimated using the trapezoid method. Multivariate regression analysis allowed identifying determinants of QALYs loss.

RESULTS

One hundred ninety-three patients (mean ± SD age 77.2 ± 9.9 years; 80% women; 15.5% with prior fracture in the last 5 years; 78% in low-income category) were evaluated. Mean (95% CI) utility value before fracture was 0.64 (0.59-0.68). It dropped to 0.01 (0.01-0.02) immediately after fracture and then improved to 0.46 (0.42-0.51) and 0.60 (0.55-0.64) at 4 and 12 months post-fracture, respectively. Disregarding fracture-related mortality, accumulated QALYs loss over the first year was 0.27 (0.24-0.30) QALYs. Mobility, self-care, and usual activities were the most affected domains throughout the whole year. HRQoL before fracture was the main contributor to explain the loss of QALYs.

CONCLUSIONS

Hip fractures reduce dramatically the HRQoL, with the loss sustained at least over the first year post-fracture in Mexico. The utility values derived from this study can be used in future economic evaluations.

Preventable risk factors of mortality after hip fracture surgery: Systematic review and meta-analysis

OBJECTIVE

Although many studies have reported risk factors of mortality following hip fracture surgery, the preventable risk factors of mortality following hip fracture surgery have not been well-identified. The aim of this study was to identify the preventable risk factors of mortality following hip fracture surgery.

METHODS

We searched PubMed, Web of Science, Google scholar, and the Chinese National Knowledge Infrastructure (CNKI) databases from January 1997 to March 2017 for studies reporting risk factors of mortality following hip fracture surgery. The primary outcomes assessed in this meta-analysis were time to surgery, residential status, smoking, cardiovascular disease, pulmonary disease, diabetes, and malignancy. All analyses were conducted using Stata/SE version 11.0 software.

RESULTS

Sixteen studies involving 25 349 patients meeting the inclusion criteria were included. Statistically significant associations between the mortality after hip fracture surgery and the risk factors, including the time to surgery (>2days/<2days) (odds ratio[OR] = 1.91; 95%CI, 1.14-3.18; P = 0.013), residential status (nursing home/home) (OR = 1.97; 95%CI, 1.02-3.78; P = 0.043), cardiovascular disease (OR = 1.14; 95%CI, 1.03-1.26; P = 0.012), pulmonary disease (OR = 1.52; 95%CI, 1.37-1.69; P < 0.001), diabetes (OR = 1.41; 95%CI, 1.19-1.67; P < 0.001), and malignancy (OR = 2.99, 95%CI, 1.14-7.83; P = 0.013) were established. However, the available data failed to demonstrate an association between the mortality, and time to surgery (>1day/<1day) (OR = 1.25; 95%CI, 0.93-1.66; P = 0.136) and smoking (OR = 0.89; 95%CI, 0.69-1.14; P = 0.340).

CONCLUSION

This meta-analysis explicitly indicated that malignancy, nursing home residence, time to surgery (>2days/<2days), pulmonary disease, diabetes, and cardiovascular disease significantly increased the risk of mortality after hip fracture surgery. These preventable risk factors may be used to create algorithms that are more effective and pertinent to reduce the mortality following hip fracture surgery.

Investigation and management of osteoporosis in aged trauma patients: a treatment algorithm adapted to the German guidelines for osteoporosis

BACKGROUND

Osteoporosis-associated fractures are of increasing importance in trauma surgery. Systematic diagnostics and treatment of osteoporosis during a hospital stay, however, remain inadequate. Therefore, a specific algorithm for diagnosing and treating osteoporosis in trauma surgery patients was developed based on the DVO (German Osteology Society) guideline for osteoporosis from 2014.

METHODS

In a first step, the individuals' age and risk profile for osteoporosis is identified considering specific fractures indicating osteoporosis and risk factors assessed by a specific questionnaire. In addition, physical activity, risk of falls, dietary habits and the individuals' medication are considered. Basic osteoporosis laboratory tests, a bone densitometry by dual-energy X-ray absorptiometry (DXA) and, if needed, X-rays of the spine are carried out to identify prevalent vertebral body fractures.

RESULTS

Based on the treatment algorithm adapted to the new guidelines for osteoporosis in the majority of proximal femoral fractures, treatment of osteoporosis could already be indicated without prior DXA. In case of preexisting glucocorticoid therapy, a history of previous fractures or other risk factors according to the risk questionnaire, the threshold of treatment has to be adjusted given the table of T-scores.

CONCLUSIONS

The treatment algorithm for diagnosing and treating osteoporosis in in-patient trauma surgery patients can help identify high-risk patients systematically and efficiently. As a result, osteoporosis-associated fractures or failure of osteosynthesis could be reduced, yet a prospective validation of the algorithm has to be completed.

The impact of hip fracture on mortality in Estonia: a retrospective population-based cohort study

Background

Estimates of hip fracture mortality in Eastern Europe are scarce. We aimed to estimate the magnitude and duration of excess mortality after hip fracture in Estonia.

Methods

Retrospective, population-based 10-year study of persons aged ≥50 in two cohorts: with hip fracture and an age- and sex-matched (in a 1:4 ratio) random sample from the national health insurance fund database for comparison. Cumulative risks, excess risks and relative risks of death were estimated using Poisson regression with 95% bootstrap confidence intervals (CI). Risks were adjusted for age and Charlson comorbidity index.

Results

We identified 8298 (2383 men, 5915 women) incident hip fracture patients from 2005 to 2013 and 33,191 (9531 men, 23,660 women) individuals for the reference group. 5552 (1564 men, 3988 women) cases and 14,037 (3514 men, 10,523 women) reference individuals died during the 10-year follow-up period. Among hip fracture patients we observed a pronounced and durable excess risk of death that was highest within 3–6 months after fracture and persisted for the full 10-year follow-up period. After adjustment for age and Charlson index, hip fracture was associated with a 21.1% (95% CI 20.0–22.5%) 10-year cumulative excess risk of death (RR 1.37, 95% CI 1.35–1.40). We found a high immediate excess risk of death in older age groups (≥80 years) and gradually accumulating excess risk in younger age groups (50–79 years). The excess risk was more pronounced among men than women.

Conclusions

By the end of the 10-year follow-up, 1 in 4 deaths in the hip fracture group was attributable to the hip fracture. The results indicate a high attributable impact of hip fracture as an independent risk factor for death.