Statins and fracture risk. A systematic review

Advantages of statin usage in preventing fractures for men over 50 in the United States: National Health and Nutrition Examination Survey

OBJECTIVES

The relationship between statin treatment and fracture risk is still controversial, especially in in patients with cardiovascular diseases (CVDs). We aim to determine whether statin therapy affects the occurrence of fractures in the general US population and in patients with CVDs.

METHODS

Epidemiological data of this cross-sectional study were extracted from the National Health and Nutrition Examination Survey (NHANES, 2001-2020, n = 9,893). Statins records and fracture information were obtained from the questionnaires. Weighted logistic regressions were performed to explore the associations between statin and the risk of fracture.

RESULTS

Statin use was found to be associated with reduced risk of fracture mainly in male individuals aged over 50 years old and taking medications for less than 3 years, after adjusted for confounders including supplements of calcium and vitamin D. The protective effects were only found in subjects taking atorvastatin and rosuvastatin. We found null mediation role of LDL-C and 25(OH)D in such effects. Statin was found to reduce fracture risk in patients with cardiovascular diseases (CVDs, OR: 0.4366, 95%CI: 0.2664 to 0.7154, P = 0.0014), and in patients without diabetes (OR: 0.3632, 95%CI: 0.1712 to 0.7704, P = 0.0091).

CONCLUSIONS

Statin showed advantages in reducing risk of fracture in male individuals aged over 50 years old and taking medications for less than 3 years. More research is needed to determine the impact of gender variations, medication duration, and diabetes.

Development and external validation of a 1- and 5-year fracture prediction tool based on electronic medical records data: The EPIC risk algorithm

OBJECTIVES

We aimed to develop and validate a fracture risk algorithm for the automatic identification of subjects at high risk of imminent and long-term fracture risk.

RESEARCH, DESIGN, AND METHODS

A cohort of subjects aged 50-85, between 2007 and 2017, was extracted from the Catalan information system for the development of research in primary care database (SIDIAP). Participants were followed until the earliest of death, transfer out, fracture, or 12/31/2017. Potential risk factors were obtained based on the existing literature. Cox regression was used to model 1 and 5-year risk of hip and major fracture. The original cohort was randomly split in 80:20 for development and internal validation purposes respectively. External validation was explored in a cohort extracted from the Spanish database for pharmaco-epidemiological research in primary care.

RESULTS

A total of 1.76 million people were included from SIDIAP (50.7 % women with mean age of 65.4 years). Hip and major fracture incidence rates were 3.57 [95%CI 3.53 to 3.60] and 11.61 [95%CI 11.54 to 11.68] per 1000 person-years, respectively. The derived model included 19 risk factors. Internal validity showed good results on calibration and discrimination. The 1-year C-statistic for hip and major fracture were 0.851 (95%CI 0.853 to 0.864), and 0.717 (95%CI 0.742 to 0.749) respectively. The 5-year C-statistic for hip and major fracture were 0.849 (95%CI 0.847 to 0.852) and 0.724 (95%CI 0.721 to 0.727) respectively. External validation showed good performance for hip and major fracture risk prediction.

CONCLUSIONS

We have developed and validated a clinical prediction tool for 1- and 5-year hip and major osteoporotic fracture risks using electronic primary care data. The proposed algorithm can be automatically estimated at the population level using the available primary care records. Future work is needed on the cost-effectiveness of its use for population-based screening and targeted prevention of osteoporotic fractures.

Statin use is associated with lower risk of dementia in stroke patients: a community-based cohort study with inverse probability weighted marginal structural model analysis

Current evidence is inconclusive on cognitive benefits or harms of statins among stroke patients, who have high risk of dementia. This observational cohort study investigated the association between statin use and post-stroke dementia using data from the Clinical Practice Research Datalink. Patients without prior dementia who had an incident stroke but received no statins in the preceding year were followed for up to 10 years. We used inverse probability weighted marginal structural models to estimate observational analogues of intention-to-treat (ITT, statin initiation vs. no initiation) and per-protocol (PP, sustained statin use vs. no use) effects on the risk of dementia. To explore potential impact of unmeasured confounding, we examined the risks of coronary heart disease (CHD, positive control outcome), fracture and peptic ulcer (negative control outcomes). In 18,577 statin initiators and 14,613 non-initiators (mean follow-up of 4.2 years), the adjusted hazard ratio (aHR) for dementia was 0.70 (95% confidence interval [CI] 0.64–0.75) in ITT analysis and 0.55 (95% CI 0.50–0.62) in PP analysis. The corresponding aHR_ITT and aHR_PP were 0.87 (95% CI 0.79–0.95) and 0.70 (95% CI 0.62–0.80) for CHD, 1.03 (95% CI 0.82–1.29) and 1.09 (95% CI 0.77–1.54) for peptic ulcer, and 0.88 (95% CI 0.80–0.96) and 0.86 (95% CI 0.75–0.98) for fracture. Statin initiation after stroke was associated with lower risk of dementia, with a potentially greater benefit in patients who persisted with statins over time. The observed association of statin use with post-stroke dementia may in part be overestimated due to unmeasured confounding shared with the association between statin use and fracture.

Association between Osteoporosis and Previous Statin Use: A Nested Case-Control Study

The relationship between statin use and osteoporosis is controversial; therefore, this study aimed to investigate this association. The ≥40-year-old population of the Korean National Health Insurance Service Health Screening Cohort was enrolled. The 68,592 osteoporosis patients were matched 1:1 with control participants for age, sex, income, and region of residence using propensity score matching. The histories of statin use for two years before the diagnosis of osteoporosis (index date) in the osteoporosis and control groups were compared using conditional/unconditional logistic regression. An increased number of days of statin use was not associated with osteoporosis (adjusted OR (aOR) = 0.97, 95% confidence interval (95% CI) = 0.94–1.00, p = 0.052). In the subgroup analyses, a large number of days of statin use was related to a reduced rate of osteoporosis in the <60-year-old female group, while the opposite was true in the ≥60-year-old female group. Both lipophilic and hydrophilic statins were related to a decreased rate of osteoporosis in the <60-year-old female group. Lipophilic statins, but not hydrophilic statins, were associated with an increased rate of osteoporosis in the ≥60-year-old female group. Statin use showed different associations in middle-aged and elderly women.

Osteoporosis Entwined with Cardiovascular Disease: The Implication of Osteoprotegerin and the Example of Statins

Beyond being epiphenomenon of shared epidemiological factors, the integration of Osteoporosis (OP) with Cardiovascular Disease (CVD) - termed "calcification paradox" - reflects a continuum of aberrant cardiometabolic status. The present review provides background knowledge on "calcification paradox", focusing on the endocrine aspect of vasculature orchestrated by the osteoblastic molecular fingerprint of vascular cells, acquired via imbalance among established modulators of mineralization. Osteoprotegerin (OPG), the well-established osteoprotective cytokine, has recently been shown to exert a vessel-modifying role. Prompted by this notion, the present review interrogates OPG as the potential missing link between OP and CVD. However, so far, the confirmation of this hypothesis is hindered by the equivocal role of OPG in CVD, being both proatherosclerotic and antiatherosclerotic. Further research is needed to illuminate whether OPG could be a biomarker of the "calcification paradox". Moreover, the present review brings into prominence the dual role of statins - cardioprotective and osteoprotective - as a potential illustration of the integration of CVD with OP. Considering that the statins-induced modulation of OPG is central to the statins-driven osteoprotective signalling, statins could be suggested as an illustration of the role of OPG in the bone/vessels crosstalk, if further studies consolidate the contribution of OPG to the cardioprotective role of statins. Another outstanding issue that merits further evaluation is the inconsistency of the osteoprotective role of statins. Further understanding of the varying bone-modifying role of statins, likely attributed to the unique profile of different classes of statins defined by distinct physicochemical characteristics, may yield tangible benefits for treating simultaneously OP and CVD.

Comparison the effects of chitosan and hyaluronic acid-based thermally sensitive hydrogels containing rosuvastatin on human osteoblast-like MG-63 cells

Background and purpose:

Bone regeneration can be accelerated by localized delivery of statins. Here, we aimed to evaluate the effect of two thermosensitive hydrogels containing rosuvastatin (RSV) on proliferation and differentiation of human osteoblast-like MG-63 cells.

Experimental approach:

Firstly, chitosan (CTS)/glycerophosphate (GP)/gelatin (G) thermosensitive hydrogel was prepared and characterized based on rheological properties, in vitro erosion, and release pattern of RSV and then the optimized mixture was loaded with nanoparticles containing RSV(NRSV). Secondly, the effect of NRSV-embedded in CTS/GP/G on cell viability, alkaline phosphate activity, and cell calcification was evaluated using MG-63 cells and compared with RSV-embedded into hyaluronic acid (HA)/Pluronic^® F127 (PF127) hydrogel.

Findings / Results:

CTS/GP mixtures with 1 and 1.5 % gelatin existing in solution with low viscosity at 4 °C were solidified at 32-34 °C while the mixture containing 2% gelatin was jellified at room temperature. The gelation times of CTS/GP/G with 1 and 1.5% gelatin were 72 and 44 s, respectively. The hydrogel containing 3% w/v NRSV was also converted to a semisolid upon increasing the temperature to 33-36 °C. Due to the higher gel strength of CTS/GP/G compared to HA/PF127 hydrogel, the release rate of RSV from the NRSV-embedded CTS/GP/G hydrogel was significantly slower than that of HA/PF127 system. As revealed by alkaline phosphatase and mineralization assays, NRSV-embedded in CTS/GP/G hydrogel had the most promotive effect on differentiation of osteoblasts among other mixtures.

Conclusion and implication:

NRSV-embedded in CTS/GP/G hydrogel could be efficiently used in the future for bone defects such as osteoporosis and bone fractures.

Case-control study examining the association between hip fracture risk and statins therapy in old people

A population-based case-control study investigated possible association between statin use and risk of hip fracture among the elderly in Taiwan.The Taiwan National Health Insurance Program database was used to identify 7464 subjects aged 65 years or older with newly diagnosed hip fracture in 2000 to 2013. An additional 7464 subjects aged 65 years or older without hip fracture were randomly selected as the control group. Hip fracture cases and controls were matched for sex, age, comorbidities, and index year of hip fracture diagnosis. Statin use was defined as "current," "recent," or "past" if the patient's statin prescription was respectively filled <3, 3 to 6, or ≥6 months before the date of the hip fracture. The odds ratio (OR) and 95% confidence interval (CI) for hip fracture associated with statin use was estimated using the logistic regression model.The logistic regression analysis demonstrated that the odds of current statin use in cases with hip fracture were lower than the odds of current statin use in subjects without hip fracture (adjusted OR 0.73, 95% CI 0.65, 0.82).The odds of current statin use in cases with hip fracture were lower than the odds of current statin use in subjects without hip fracture in elderly people in Taiwan.

Fracture risk in type 2 diabetic patients: A clinical prediction tool based on a large population-based cohort

BACKGROUND

An increased fracture risk has been described as a complication of Type 2 diabetes mellitus (T2DM). Clinical prediction models for general population have a limited predictive accuracy for fractures in T2DM patients. The aim was to develop and validate a clinical prediction tool for the estimation of 5-year hip and major fracture risk in T2DM patients.

METHODS AND RESULTS

A cohort of newly diagnosed T2DM patients (n = 51,143, aged 50-85, 57% men) was extracted from the Information System for the Development of Research in Primary Care (SIDIAP) database, containing computerized primary care records for >80% of the population of Catalonia, Spain (>6 million people). Patients were followed up from T2DM diagnosis until the earliest of death, transfer out, fracture, or end of study. Cox proportional hazards regression was used to model the 5-year risk of hip and major fracture. Calibration and discrimination were assessed. Hip and major fracture incidence rates were 1.84 [95%CI 1.64 to 2.05] and 7.12 [95%CI 6.72 to 7.53] per 1,000 person-years, respectively. Both hip and major fracture prediction models included age, sex, previous major fracture, statins use, and calcium/vitamin D supplements; previous ischemic heart disease was also included for hip fracture and stroke for major fracture. Discrimination (0.81 for hip and 0.72 for major fracture) and calibration plots support excellent internal validity.

CONCLUSIONS

The proposed prediction models have good discrimination and calibration for the estimation of both hip and major fracture risk in incident T2DM patients. These tools incorporate key T2DM macrovascular complications generally available in primary care electronic medical records, as well as more generic fracture risk predictors. Future work will focus on validation of these models in external cohorts.

Statin Use Is Associated With Decreased Osteoporosis and Fracture Risks in Stroke Patients

CONTEXT

Poststroke osteoporosis and consequent fractures increase the risk of morbidity and mortality and cause considerable socioeconomic burden.

OBJECTIVE

To evaluate the association between statin use and risks of osteoporosis and fracture in stroke patients.

DESIGN

Population-based propensity score‒matched cohort study.

SETTING

Taiwan's National Health Insurance Research Database.

PATIENTS

Patients newly diagnosed with a stroke between 2000 and 2012 were identified. After propensity score matching, 5254 patients were included, with 2627 patients in the statin and nonstatin cohorts, respectively.

MAIN OUTCOME MEASURES

Hazard ratios (HRs) for poststroke osteoporosis, hip fracture, and vertebral fracture (together, the primary outcome) were calculated using Cox proportional hazards regression models according to statin use status.

RESULTS

Poststroke statin use was associated with a lower overall risk of the primary outcome [adjusted hazard ratio (aHR) = 0.66; P < 0.001]. In subanalyses, statin use was associated with a decreased risk of all individual outcomes, including osteoporosis (aHR = 0.68; P < 0.001), hip fracture (aHR = 0.59; P < 0.001), and vertebral fracture (aHR = 0.73; P = 0.003). A dose-effect relationship was identified. The aHRs for developing the primary outcome were 0.96, 0.86, and 0.34 for patients who used 1 to 90, 91 to 365, and >365 cumulative defined daily doses of statins, respectively. These dose-effect relationships were maintained on subgroup analyses stratified by age, sex, and stroke type and sensitivity analyses conducted without propensity score matching.

CONCLUSIONS

Statin use is associated with decreased risks of osteoporosis, hip fracture, and vertebral fracture in stroke patients.

Association between Serum Cholesterol Level and Osteoporotic Fractures

OBJECTIVE

Previous epidemiological studies have found an association between serum cholesterol level and bone mineral density. However, epidemiological studies evaluating the association between serum cholesterol level and the incidence of osteoporotic fracture are scant. Therefore, the objective of this study was to investigate whether serum cholesterol levels in Chinese participants aged 55 years or older was associated with an increased risk of osteoporotic fracture.

MATERIALS AND METHODS

We performed a cross-sectional study, including 1,791 participants (62.1% postmenopausal women and 213 fractures). Standardized self-administered questionnaires, physical examination, laboratory tests, and dual-energy X-ray absorptiometry examination were performed. Multivariate-adjusted logistic regression models were used to evaluate associations between serum cholesterol [total cholesterol (TC), triglycerides (TG), high-density lipoprotein (HDL-C), and low-density lipoprotein (LDL-C)] levels and the osteoporotic fracture risk.

RESULTS

After adjusting for potential confounding factors, there were no associations between per SD increase in TC and LDL level and an increased risk of osteoporotic fracture in total participants, and in men and women as individual groups. There was a significant association between per SD increase in HDL-C level and an increased risk of osteoporotic fracture in total participants [odds ratios (OR) 1.20, 95% confidence interval (CI) 1.03, 1.40, P = 0.023] and in women (OR 1.37, 95% CI 1.12, 1.68, P = 0.003), whereas no association was observed in men (OR 1.01, 95% CI 0.73, 1.40, P = 0.951). Additionally, we found a significant association between per SD increase in TG level and an increased risk of osteoporotic fracture in total participants (OR 1.20, 95% CI 1.04, 1.38, P = 0.015). In women, a nonlinear relationship was observed between per SD increase in TG level and an increased risk of osteoporotic fracture. The risk of osteoporotic fracture in women increased with TG level >1.64 mmol/L (OR 1.93, 95% CI 1.24, 3.00, P = 0.004).

CONCLUSION

Among Chinese older adults, serum HDL-C level is significantly associated with a risk of osteoporotic fractures in women, and serum TG level is significantly associated with a risk of osteoporotic fractures in total participants and in women with TG >1.64 mmol/L.

Dementia and osteoporosis in a geriatric population: Is there a common link?

AIM

To determine the existence of a common pathological link between dementia and osteoporosis through reviewing the current evidence base.

METHODS

This paper reviews the current literature on osteoporosis and dementia in order to ascertain evidence of a common predisposing aetiology. A literature search of Ovid MED-LINE (1950 to June 2016) was conducted. The keywords “osteoporosis”, “osteoporotic fracture”, “dementia” and “Alzheimer’s disease” (AD) were used to determine the theoretical links with the most significant evidence base behind them. The key links were found to be vitamins D and K, calcium, thyroid disease, statins, alcohol and sex steroids. These subjects were then searched in combination with the previous terms and the resulting papers manually examined. Theoretical, in vitro and in vivo research were all used to inform this review which focuses on the most well developed theoretical common causes for dementia (predominantly Alzheimer’s type) and osteoporosis.

RESULTS

Dementia and osteoporosis are multifaceted disease processes with similar epidemiology and a marked increase in prevalence in elderly populations. The existence of a common link between the two has been suggested despite a lack of clear pathological overlap in our current understanding. Research to date has tended to be fragmented and relatively weak in nature with multiple confounding factors reflecting the difficulties of in vivo experimentation in the population of interest. Despite exploration of various possible mechanisms in search for a link between the two pathologies, this paper found that it is possible that these associations are coincidental due to the nature of the evidence available. One finding in this review is that prior investigation into common aetiologies has found raised amyloid beta peptide levels in osteoporotic bone tissue, with a hypothesis that amyloid beta disorders are systemic disorders resulting in differing tissue manifestations. However, our findings were that the most compelling evidence of a common yet independent aetiology lies in the APOE4 allele, which is a well-established risk for AD but also carries an independent association with fracture risk. The mechanism behind this is thought to be the reduced plasma vitamin K levels in individuals exhibiting the APOE4 allele which may be amplified by the nutritional deficiencies associated with dementia, which are known to include vitamins K and D. The vitamin theory postulates that malnutrition and reduced exposure to sunlight in patients with AD leads to vitamin deficiencies.

CONCLUSION

Robust evidence remains to be produced regarding potential links and regarding the exact aetiology of these diseases and remains relevant given the burden of dementia and osteoporosis in our ageing population. Future research into amyloid beta, APOE4 and vitamins K and D as the most promising aetiological links should be welcomed.

Atorvastatin, a double weapon in osteoporosis treatment: an experimental and clinical study

Objective

The aim of this study was to evaluate the effect of atorvastatin on the bone formation and resorption markers in ovariectomized rats (experimental study), and to study its effect on the bone mineral density (BMD) in postmenopausal osteoporotic women (clinical study).

Materials and methods

The study involved experimental and clinical aspects. In the experimental aspect, 42 female Wistar rats were divided into five groups: Group I (n=6; sham-operated), Group II (n=6; 1 mL of carboxymethyl cellulose [CMC] was administered orally), Group III (n=6; 20 mg/kg orally of atorvastatin was administered), Group IV (n=12; untreated ovariectomized [OVX] rats and served as a model of osteoporosis [OP]) and Group V (n=12; 20 mg/kg orally of atorvastatin was administered to ovariectomized rats). After 4 weeks, serum acid phosphatase, alkaline phosphatase, osteocalcin, total calcium and inorganic phosphorus were assessed. Then, 3 µm thickness lumbar and femur sections were examined using a light microscope to assess cortical thickness, trabecular area, numbers of osteoblasts and osteoclasts. In the clinical aspect, 85 post-menopausal osteoporotic females with recently detected hyperlipidemia participated in the study. Atorvastatin 40 mg/day, calcium carbonate 500 mg/day and vitamin D 800 international units were given to all patients for a period of 18 months. BMD was measured at the start and at the end of the study by dual-energy X-ray absorptiometry (DEXA).

Results

In the experiment aspect, the biomarkers of bone remodeling were notably elevated in the OVX group. Administration of atorvastatin produced a significant decrease in the level of these bone metabolic markers. Atorvastatin significantly ameliorates osteoporotic changes induced by ovariectomy. In the clinical aspect, after 18 months the DEXA showed improvement in the T-score for the three measured zones; however, these changes were statistically significant only in the femoral neck area.

Conclusion

Atorvastatin was able to decrease the rate of bone metabolism and increase osteogenic activity. It has dual mode of action; both anabolic and antiresorptive effect on bone. This lipophilic statin member may act as a double weapon drug.

Clinical Factors, Disease Parameters, and Molecular Therapies Affecting Osseointegration of Orthopedic Implants

Total hip and knee arthroplasty are effective interventions for management of end-stage arthritis. Indeed, about 7 million Americans are currently living with artificial hip and knee joints. The majority of these individuals, however, will outlive their implants and require revision surgeries, mostly due to poor implant osseointegration and aseptic loosening. Revisions are potentially avoidable with better management of patient-related risk factors that affect the osseointegration of orthopedic implants. In this review, we summarize the published clinical literature on the role of demographics, biologic factors, comorbidities, medications and aseptic loosening risk. We focus on several systemic and local factors that are particularly relevant to implant osseointegration. Examples include physiological and molecular processes that are linked to hyperglycemia, oxidative stress, metabolic syndrome and dyslipidemia. We discuss how orthopedic implant osseointegration can be affected by a number of molecular therapies that are antiresorptive or bone anabolic (i.e. calcium, vitamin D, bisphosphonates, calcitonin, strontium, hormone replacement therapy, selective estrogen-receptor modulators).

Statin Adverse Events in Primary Prevention: Between Randomized Trials and Observational Studies

Considerable debate exists regarding who might benefit from statins for primary prevention. Statins have wide pleotropic effects, which contribute to their efficacy in lowering cardiovascular disease but may also result in adverse events (AEs). Caveats in identifying AEs in randomized controlled trials (RCTs) include the lack of a standardized definition of statin-associated AEs, the differences in properties of different statins, the selectivity of RCTs in choosing their participants, the presence of high rate of nonadherence/withdrawal from trials and other concerns related to study design and conflict of interest. Caveats in identifying or overestimating AEs in observational studies include failure to identify baseline confounders, ascertainment bias, confounding by indication and healthy user bias. Statin use in observational studies may be a surrogate marker for higher socioeconomic standards, access to health care or use of other preventive services. Integrating evidence from both RCTs and observational studies is of paramount importance for appropriate patient-centered decision.

Diabetes and bone: biological and environmental factors

PURPOSE OF REVIEW

Type 1 and type 2 diabetes mellitus are known to increase fracture risk. It is known that type 1 diabetes mellitus is associated with lower bone mineral density, but for type 2 diabetes mellitus, the real risk of increasing osteoporotic fractures is not explained by bone mineral density, which was found to be normal or paradoxically higher than controls in several studies, thus claiming for further investigations. This review summarizes some of the newest findings about factors that contribute to bone alterations in diabetic patients.

RECENT FINDINGS

Most recent evidences showed that bone of diabetic patients presents a cortical porosity which is not captured by the bidimensional densitometric measurements as performed by dual energy X-ray absorptiometry. Other studies investigated bone matrix searching for molecular mechanisms underlying the reduced bone strength in diabetic patients. The loss of bone biomechanical properties in diabetes has been associated to the glycated collagen matrix induced by hyperglycemia. Other studies analyzed the effect on bone microarchitecture of the most common antidiabetic drugs.

SUMMARY

Disease management of fracture risk in diabetic patients needs new methodologies of assessment that also take into account bone quality and evaluation of clinical risk factors, including balance, visual, and neurological impairments.

Statins and hip fracture risk in men: a population-based case-control study

PURPOSE

To estimate the association between hydroxymethylglutaryl-CoA inhibitor (statin) use and hip fracture.

METHODS

We conducted a population-based case-control study. Cases were 6774 male enrollees in a large managed care organization, aged 45 or more years, with an incident hip fracture from 1997 to 2006. Controls without fracture (n = 6774) were matched to cases on age, race, and medical center. Electronic information on pharmaceutical use was used to identify the dispensing of statins from 1991 forward.

RESULTS

Overall, 1884 (27.8%) cases and 2150 controls (31.7%) used a statin before index date (matched odds ratio [mOR] = 0.81, 95% confidence interval [CI] = 0.74-0.87). Adjustment for comorbidity burden strengthened the magnitude of the overall association (mOR = 0.68, CI = 0.62-0.74). The adjusted association was similar across age groups but was strongest among men aged 80 years or more (mOR = 0.62, CI = 0.54-0.71) and was most pronounced in African Americans (mOR = 0.43, CI = 0.28-0.64). Greater duration of statin use did not alter the odds ratios.

CONCLUSIONS

These data add to the growing evidence of a potential protective effect of statin use on bone health. However, these results need to be replicated in a prospective study that can account for confounding by indication which may explain these findings.

Predictors of mortality subsequent to a fracture in diabetes mellitus patients

BACKGROUND

Type-1 and type-2 diabetes mellitus (DM) are associated with an increased fracture risk and possibly an increased risk of death following a fracture.

AIM

To investigate the association between diabetes-related drugs and mortality following a fracture.

METHODS

A nested case-control study was conducted. Cases were patients with DM who died following a fracture; controls were DM patients not dying after a fracture. We identified DM patients using the Danish National Hospital Discharge Register (1977-2011) and included information on date of DM diagnosis, date of fracture, and comorbidities. From the Danish Cause of Death Register, the date of death was collected (2008-2011). From the Central Region of Jutland, Denmark, medication use was collected (2008-2011). Analysis was performed by unconditional logistic regression.

RESULTS

Two thousand six hundred twenty one diabetes patients with a fracture following the diabetes diagnosis and with information on medication use were included. Of these, 229 died. In a multivariate analysis, statin use [n = 1,106 (42%) statin users, odds ratio (OR) = 0.60, 95% confidence interval, p = 0.012] decreased the risk of dying subsequent to a fracture. Male gender (OR = 1.57, p = 0.005), increasing age (OR = 1.08, p < 0.001), a diagnosis of retinopathy (OR = 2.12, p = 0.008), heart failure (OR = 1.68, p = 0.004), and use of glucocorticoids (OR = 2.22, p = 0.001) were associated with an increased risk of death. None of the antidiabetics: biguanides, glucagon-like receptor agonists, β-cell stimulants, glitazones, and insulin were associated with mortality.

CONCLUSION

Co-morbidity reflected by late onset complications, heart failure, and glucocorticoid use was associated with an increased risk of mortality subsequent to a fracture. Statin use may reduce mortality subsequent to a fracture in diabetes patients. Clinical trials are needed to determine whether diabetes patients with a fracture should initiate statin treatment.

The ACCE method: an approach for obtaining quantitative or qualitative estimates of residual confounding that includes unmeasured confounding

BACKGROUND

  Nonrandomized studies typically cannot account for confounding from unmeasured factors. 

METHOD

  A method is presented that exploits the recently-identified phenomenon of  "confounding amplification" to produce, in principle, a quantitative estimate of total residual confounding resulting from both measured and unmeasured factors.  Two nested propensity score models are constructed that differ only in the deliberate introduction of an additional variable(s) that substantially predicts treatment exposure.  Residual confounding is then estimated by dividing the change in treatment effect estimate between models by the degree of confounding amplification estimated to occur, adjusting for any association between the additional variable(s) and outcome.

RESULTS

  Several hypothetical examples are provided to illustrate how the method produces a quantitative estimate of residual confounding if the method's requirements and assumptions are met.  Previously published data is used to illustrate that, whether or not the method routinely provides precise quantitative estimates of residual confounding, the method appears to produce a valuable qualitative estimate of the likely direction and general size of residual confounding.

LIMITATIONS

  Uncertainties exist, including identifying the best approaches for: 1) predicting the amount of confounding amplification, 2) minimizing changes between the nested models unrelated to confounding amplification, 3) adjusting for the association of the introduced variable(s) with outcome, and 4) deriving confidence intervals for the method's estimates (although bootstrapping is one plausible approach).

CONCLUSIONS

  To this author's knowledge, it has not been previously suggested that the phenomenon of confounding amplification, if such amplification is as predictable as suggested by a recent simulation, provides a logical basis for estimating total residual confounding. The method's basic approach is straightforward.  The method's routine usefulness, however, has not yet been established, nor has the method been fully validated. Rapid further investigation of this novel method is clearly indicated, given the potential value of its quantitative or qualitative output.

The ACCE method: an approach for obtaining quantitative or qualitative estimates of residual confounding

BACKGROUND

  Nonrandomized studies typically cannot account for confounding from unmeasured factors. 

METHOD

  A method is presented that exploits the recently-identified phenomenon of  "confounding amplification" to produce, in principle, a quantitative estimate of total residual confounding resulting from both measured and unmeasured factors.  Two nested propensity score models are constructed that differ only in the deliberate introduction of an additional variable(s) that substantially predicts treatment exposure.  Residual confounding is then estimated by dividing the change in treatment effect estimate between models by the degree of confounding amplification estimated to occur, adjusting for any association between the additional variable(s) and outcome.

RESULTS

  A hypothetical example is provided to illustrate how the method produces a quantitative estimate of residual confounding if the method's requirements and assumptions are met.  Previously published data is used to illustrate that, whether or not the method routinely provides precise quantitative estimates of residual confounding, the method appears to produce a valuable qualitative estimate of the likely direction and general size of residual confounding.

LIMITATIONS

  Uncertainties exist, including identifying the best approaches for: 1) predicting the amount of confounding amplification, 2) minimizing changes between the nested models unrelated to confounding amplification, 3) assessing the association of the introduced variable(s) with outcome, and 4) deriving confidence intervals for the method's estimates (although bootstrapping is one plausible approach).

CONCLUSIONS

  To this author's knowledge, it has not been previously suggested that the phenomenon of confounding amplification, if such amplification is as predictable as suggested by a recent simulation, provides a logical basis for estimating total residual confounding. The method's basic approach is straightforward.  The method's routine usefulness, however, has not yet been established, nor has the method been fully validated. Rapid further investigation of this novel method is clearly indicated, given the potential value of its quantitative or qualitative output.

Association of Statins and Risk of Fractures in a Military Health System

Background: Contradictory evidence exists regarding statin use and risk of osteoporotic fractures. Objective: The study objective was to examine the effect of statins on fracture risk in a Military Healthcare System (MHS) with similar access and standard of health care for its beneficiaries. Methods: This is a retrospective study of patients enrolled in an MHS encompassing the period from October 1, 2003, to March 1, 2010. Statin users were defined as those receiving a statin for ≥90 days in Fiscal Year 2005, whereas nonusers were defined as individuals not receiving a statin throughout the study period. A propensity score–matched cohort of statin users and nonusers was created using 42 variables. The outcomes were identified using ICD-9-CM codes in the follow-up period (October 1, 2006, to March 1, 2010). In all, 4 outcomes were examined: all fractures, femoral neck fractures, upper-extremity fractures, and lower-extremity fractures. Results: Of 46 249 patients, 6967 pairs of statin users and nonusers were matched. Statin users had a lower risk of femoral neck fracture in comparison to nonusers (odds ratio = 0.58, 95% CI = 0.36-0.94) but similar risk of all fractures, lower-extremity fractures, and upper-extremity fractures. Conclusions: In this cohort of patients managed in an MHS, statin use was associated with a lower risk of femoral neck fractures, but not all fractures, upper-extremity fractures, or lower-extremity fractures.

Unintended effects of statins from observational studies in the general population: systematic review and meta-analysis

BACKGROUND

Efficacy of statins has been extensively studied, with much less information reported on their unintended effects. Evidence from randomized controlled trials (RCTs) on unintended effects is often insufficient to support hypotheses generated from observational studies. We aimed to systematically assess unintended effects of statins from observational studies in general populations with comparison of the findings where possible with those derived from randomized trials.

METHODS

Medline (1998 to January 2012, week 3) and Embase (1998 to 2012, week 6) were searched using the standard BMJ Cohort studies filter. The search was supplemented with reference lists of all identified studies and contact with experts in the field. We included prospective studies with a sample size larger than 1,000 participants, case control (of any size) and routine health service linkage studies of over at least one year duration. Studies in subgroups of patients or follow-up of patient case series were excluded, as well as hospital-based cohort studies.

RESULTS

Ninety studies were identified, reporting on 48 different unintended effects. Statins were associated with lower risks of dementia and cognitive impairment, venous thrombo-embolism, fractures and pneumonia, but these findings were attenuated in analyses restricted to higher quality studies (respectively: OR 0.74 (95% CI 0.62 to 0.87); OR 0.92 (95% CI 0.81 to 1.03); OR 0.97 (95% CI 0.88 to 1.05); OR 0.92 (95% CI 0.83 to 1.02)); and marked heterogeneity of effects across studies remained. Statin use was not related to any increased risk of depression, common eye diseases, renal disorders or arthritis. There was evidence of an increased risk of myopathy, raised liver enzymes and diabetes (respectively: OR 2.63 (95% CI 1.50 to 4.61); OR 1.54 (95% CI 1.47 to 1.62); OR 1.31 (95% CI 0.99 to 1.73)).

CONCLUSIONS

Our systematic review and meta-analyses indicate that high quality observational data can provide relevant evidence on unintended effects of statins to add to the evidence from RCTs. The absolute excess risk of the observed harmful unintended effects of statins is very small compared to the beneficial effects of statins on major cardiovascular events.

Statins, bone metabolism and treatment of bone catabolic diseases

The discovery that statins had bone anabolic properties initiated many investigations into their use for treatment of bone catabolic diseases, such as osteoporosis. This paper reviews the molecular basis of statin's role in bone metabolism, and animal and human studies on the impact of systemic statins on osteoporosis-induced bone fracture incidence and healing, and on bone density. Limitations of systemic statins are described along with alternative dosing strategies, including local applications and bone-targeting systemic preparations. The principal findings of this review are: (1) traditional oral dosing with statins results in minimal efficacy in the treatment of osteoporosis; (2) local applications of statins show promise in the treatment of accessible bony defects, such as periodontitis; and (3) systemically administered statins which can target bone or inflammation near bone may be the safest and most effective strategy in the treatment of osseous deficiencies.

Bone mineral density and incidence of stroke: European prospective investigation into cancer-norfolk population-based study, systematic review, and meta-analysis

BACKGROUND AND PURPOSE

The prospective link between osteoporosis and future risk of stroke requires evidence from large-scale population-based long-term studies.

METHODS

Calcaneum broadband ultrasound attenuation was measured in the Norfolk cohort of the European Prospective Investigation into Cancer-Norfolk between 1997 and 2000. Incident strokes were ascertained by hospital record linkage and death certificates in March 2009 and December 2011, respectively. A search of MEDLINE and EMBASE was performed to evaluate the relationship between bone mineral density and incident stroke. After data extraction of relevant studies, pooled risk of stroke was estimated using meta-analysis.

RESULTS

In 14 290 participants (mean follow-up of 9.3 years; total person-years 132 574), there were 599 incident strokes. Participants in the lowest 10% of the calcaneum broadband ultrasound attenuation distribution had an increased stroke risk (hazard ratio 1.41; 95% confidence intervals, 1.02-1.94) compared with those in the top 30% of the distribution after adjustments. A decrease of ~1 standard deviation in broadband ultrasound attenuation (20 db/MHz) was associated with a 17% increase in relative risk of stroke (95% confidence intervals, 5%-30%). Meta-analysis of 4 studies (25 760 participants, 1237 cases of stroke) found that for every decrease in 1 standard deviation in bone mineral density, there was an increased risk of incident stroke among women (pooled relative risk 1.22; 95% confidence intervals, 1.09-1.37; I2=0%, 3 studies) but not in men (pooled relative risk 1.05; 95% confidence intervals, 0.94-1.17; I(2)=0%, 2 studies).

CONCLUSIONS

Bone mineral density predicts total stroke risk. The evidence is stronger in women with regard to the continuous relationship.

Statin use and fracture risk: can we quantify the healthy-user effect?

BACKGROUND

Numerous observational studies show that statin use is associated with lower risk of osteoporotic fractures. However, a causal relationship is not supported by data from randomized trials. Unmeasured confounding is implicated as a likely culprit for the controversy because of failure to measure and adjust for patient-level tendencies to engage in healthy behaviors. However, an alternative explanation is selection bias because of the inclusion of prevalent users of statins in the analysis. The relative importance of either bias has not been investigated in a quantitative sensitivity analysis.

METHODS

We conducted a systematic review to summarize the pattern of association between statin use and fracture risk in observational studies. Our objective was to quantify the magnitude of unmeasured confounding and selection bias in a sensitivity analysis.

RESULTS

In 17 published studies, the pooled relative risk for the association between current use of statins and fracture risk was 0.75 (95% confidence interval = 0.66-0.85). Upon adjustment for individual-level use of preventative health services, the pooled relative risk shifted by less than 5% on the log scale. However, a sensitivity analysis for selection bias revealed that moderate levels of bias could eliminate the association between statins and fracture risk.

CONCLUSIONS

It appears that confounding from unmeasured variables cannot explain the protective association between statins and fractures that has been observed in the literature.

Should we abandon statins in the prevention of bone fractures?

Osteoporosis increases dramatically with age. About 40 % of women in developed countries will experience an osteoporosis-related fracture in the course of their lifetime, with men experiencing approximately one-third to one-half the risk of women. The "lipid hypothesis of osteoporosis" claims for a role of oxidized lipids as a contributing factor in osteoporosis. On the other hand, statins are supposed to exert anabolic effects on the bone, either through their lipid-lowering action or signal pathways that are independent of their effects on lipid levels. The epidemiological evidence seems to suggest that higher triglycerides may give some protection against fracture, although no association with reduced fracture risk has been reported between lipid-lowering drug (except statins) users and non-users. The epidemiological evidence for a role of statins in osteoporosis is strong, with a lower fracture risk ranging from 30 to 40 % in statin users versus non-users. However, some pitfalls inherent to observational studies (high heterogeneity, residual confounding, potential publication bias) and the lack of association in randomized trials suggest caution. At the moment, the evidence for a role of statins in prevention of osteoporosis is insufficient to recommend starting statin therapy with the aim to prevent osteoporosis.

The controversy of a wider statin utilization: why?

INTRODUCTION

Several medical journals published viewpoints and counter-viewpoints supporting or opposing a wider utilization of statins for primary prevention. The objective of this article is not to weigh in the benefits versus risks of statin use, but to discuss various aspects of this controversy.

AREAS COVERED

This review discusses the challenges in examining the pleotropic effects/adverse events of statins. It also discusses the pitfalls in assessment of adverse events in randomized controlled trials and observational studies.

EXPERT OPINION

The challenges in solving this controversy include that the pleotropic effect of statins results in an extremely wide spectrum of reported benefits or adverse events, the reported harms/benefits are contradictory, there is basic research ground supporting both sides of the controversy, it is difficult to separate if adverse events are due to statins or due to lower cholesterol, and that there is a lack of standardized definition of statin-associated adverse events and their methods of ascertainment. Both randomized controlled trials and observational studies have pitfalls and caveats in assessment of adverse events. Understanding the points of debate is of paramount significance to enable clinicians to individualize patient care.

Statins and hip fracture prevention--a population based cohort study in women

Objective

To study the association of long-term statin use and the risk of low-energy hip fractures in middle-aged and elderly women.

Design

A register-based cohort study.

Setting

Finland.

Participants

Women aged 45–75 years initiating statin therapy between 1996 and 2001 with adherence to statins ≥80% during the subsequent five years (n = 40 254), a respective cohort initiating hypertension drugs (n = 41 610), and women randomly selected from the population (n = 62 585).

Main Outcome Measures

Incidence rate of and hazard ratio (HR) for low-energy hip fracture during the follow-up extending up to 7 years after the 5-year exposure period.

Results

Altogether 199 low-energy hip fractures occurred during the 135 330 person-years (py) of follow-up in the statin cohort, giving an incidence rate of 1.5 hip fractures per 1000 py. In the hypertension and the population cohorts, the rates were 2.0 per 1000 py (312 fractures per 157 090 py) and 1.0 per 1000 py (212 fractures per 216 329 py), respectively. Adjusting for a propensity score and individual variables strongly predicting the outcome, good adherence to statins for five years was associated with a 29% decreased risk (HR 0.71; 95% CI 0.58–0.86) of a low-energy hip fracture in comparison with adherent use of hypertension drugs. The association was of the same magnitude when comparing the statin users with the population cohort, the HR being 0.69 (0.55–0.87). When women with poor (<40%), moderate (40 to 80%), and good adherence (≥80%) to statins were compared to those with good adherence to hypertension drugs (≥80%) or to the population cohort, the protective effect associated with statin use attenuated with the decreasing level of adherence.

Conclusions

5-year exposure to statins is associated with a reduced risk of low-energy hip fracture in women aged 50–80 years without prior hospitalizations for fractures.

Osteoporosis piece of multi-morbidity puzzle in geriatric care

Osteoporosis frequently coexists with other chronic diseases and syndromes of aging, and therefore multimorbidity interactions can potentially complicate its evaluation and treatment. This article reviews osteoporosis comorbidity interactions with select common diseases of aging including cardiovascular, neurologic, and geriatric syndromes, and select commonly used medications by older adults. Using depression as a case example, we describe the complex relationship between osteoporosis, mood, and antidepressant medications, and the implications of these interactions for patients and clinicians.

Statins and prevention of infections: systematic review and meta-analysis of data from large randomised placebo controlled trials

OBJECTIVE

To evaluate whether the potential of statins to lower the risk of infections as published in observational studies is causal.

DESIGN

Systematic review and meta-analysis of randomised placebo controlled trials.

DATA SOURCES

Medline, Embase, and the Cochrane Library.

STUDY SELECTION

Randomised placebo controlled trials of statins (up to 10 March 2011) enrolling a minimum of 100 participants, with follow-up for at least one year.

DATA EXTRACTION

Infection or infection related death.

RESULTS

The first study selection yielded 632 trials. After screening of the corresponding abstracts and full text papers, 11 trials totalling 30 947 participants were included. 4655 of the participants (2368 assigned to statins and 2287 assigned to placebo) reported an infection during treatment. Meta-analysis showed no effect of statins on the risk of infections (relative risk 1.00, 95% confidence interval 0.96 to 1.05) or on infection related deaths (0.97, 0.83 to 1.13).

CONCLUSION

These findings do not support the hypothesis that statins reduce the risk of infections. Absence of any evidence for a beneficial effect in large placebo controlled trials reduces the likelihood of a causal effect as reported in observational studies.

An old friend in a new light: the role of osteocalcin in energy metabolism

Accumulating evidence suggests interactions between bone and energy metabolism, which may affect the risk of cardiovascular disease. Recent animal studies indicate that osteocalcin (OC) plays a key role in the coordinated regulation of glucose and insulin metabolism while insulin receptors on osteoblasts may regulate bone turnover and circulating OC levels. Association studies, weight loss interventions, and observational data lend some support to the existence and relevance of these mechanisms in humans. However, corroborating evidence from pharmacologic interventions in either bone or glucose metabolism is limited by the number, design, and complex pharmacological effects of the drugs used. Furthermore, such clinical trials are complicated by the alteration of metabolic feedback mechanisms in the insulin resistant state. Purpose-designed studies are needed to further establish the existence and significance of the role of OC and its subfractions in human insulin metabolism. In this review we summarize existing animal evidence regarding the role of OC and its subfractions in bone and energy metabolism and assess current clinical trial evidence relating to the significance and consequences of this relationship in humans.

Why do covariates defined by International Classification of Diseases codes fail to remove confounding in pharmacoepidemiologic studies among seniors?

PURPOSE

The common practice of using administrative diagnosis codes as the sole source of data on potential confounders in pharmacoepidemiologic studies has been shown to leave substantial residual confounding. We explored reasons why adjustment for comorbid illness defined from International Classification of Diseases (ICD) codes fails to remove confounding.

METHODS

We used data from a case-control study among immunocompetent seniors enrolled in Group Health to estimate bias in the estimated association between receipt of influenza vaccine and the risk of community-acquired pneumonia during non-influenza control periods and to estimate the effects of adjusting for comorbid illnesses defined from either ICD codes or the medical record. We also estimated the accuracy of ICD codes for identifying comorbid illnesses compared with the gold standard of medical record review.

RESULTS

Sensitivity of ICD codes for illnesses recorded in the medical record ranged from 59 to 97% (median, 76%). Strong confounding was present in the vaccine/pneumonia association, as evidenced by the non-null odds ratio of 0.60 (95% confidence interval, 0.38-0.95) during this control period. Adjusting for the presence/absence of comorbid illnesses defined from either medical record review (odds ratio, 0.73) or from ICD codes (odds ratio, 0.68) left considerable residual confounding.

CONCLUSIONS

ICD codes may fail to control for confounding because they often lack sensitivity for detecting comorbid illnesses and because measures of the presence/absence of comorbid illnesses may be insufficient to remove confounding. These findings call for caution in the use of ICD codes to control for confounding.

The association between statin use and outcomes potentially attributable to an unhealthy lifestyle in older adults

OBJECTIVE

To explore the "healthy user" and "healthy adherer" effects-hypothetical sources of bias thought to arise when patients who initiate and adhere to preventive therapies are more likely to engage in healthy behaviors than are other subjects.

METHODS

The authors examined the association between statin initiation and adherence, and the subsequent use of preventive health services and incidence of clinical outcomes unlikely to be associated with the need for, or use of, a statin among older enrollees in two state-sponsored drug benefit programs.

RESULTS

After adjustment for demographic and clinical covariates, patients who initiated statin use were more likely to receive recommended preventive services than noninitiators matched on age, sex, and state (hazard ratio [HR]: 1.10, 1.06-1.14 for males, HR: 1.09, 1.07-1.11 for females) and appeared to have a lower risk of a range of adverse outcomes (HR: 0.87, 0.85-0.89) thought to be unrelated to statin use. Adherence to a statin regimen was also associated with increased rates of preventive service use and a decreased rate of adverse clinical outcomes (HR: 0.93, 0.88-0.99).

CONCLUSIONS

These results suggest that patients initiating and adhering to chronic preventive drug therapies are more likely to engage in other health-promoting behaviors. Failure to account for this relationship may introduce bias in any epidemiologic study evaluating the effect of a preventive therapy on clinical outcomes.

Healthy user and related biases in observational studies of preventive interventions: a primer for physicians

The current emphasis on comparative effectiveness research will provide practicing physicians with increasing volumes of observational evidence about preventive care. However, numerous highly publicized observational studies of the effect of prevention on health outcomes have reported exaggerated relationships that were later contradicted by randomized controlled trials. A growing body of research has identified sources of bias in observational studies that are related to patient behaviors or underlying patient characteristics, known as the healthy user effect, the healthy adherer effect, confounding by functional status or cognitive impairment, and confounding by selective prescribing. In this manuscript we briefly review observational studies of prevention that have appeared to reach incorrect conclusions. We then describe potential sources of bias in these studies and discuss study designs, analytical methods, and sensitivity analyses that may mitigate bias or increase confidence in the results reported. More careful consideration of these sources of bias and study designs by providers can enhance evidence-based decision-making.

The implications of propensity score variable selection strategies in pharmacoepidemiology: an empirical illustration

PURPOSE

To examine the effect of variable selection strategies on the performance of propensity score (PS) methods in a study of statin initiation, mortality, and hip fracture assuming a true mortality reduction of < 15% and no effect on hip fracture.

METHODS

We compared seniors initiating statins with seniors initiating glaucoma medications. Out of 202 covariates with a prevalence > 5%, PS variable selection strategies included none, a priori, factors predicting exposure, and factors predicting outcome. We estimated hazard ratios (HRs) for statin initiation on mortality and hip fracture from Cox models controlling for various PSs.

RESULTS

During 1 year follow-up, 2693 of 55,610 study subjects died and 496 suffered a hip fracture. The crude HR for statin initiators was 0.64 for mortality and 0.46 for hip fracture. Adjusting for the non-parsimonious PS yielded effect estimates of 0.83 (95%CI:0.75-0.93) and 0.72 (95%CI:0.56-0.93). Including in the PS only covariates associated with a greater than 20% increase or reduction in outcome rates yielded effect estimates of 0.84 (95%CI:0.75-0.94) and 0.76 (95%CI:0.61-0.95), which were closest to the effects predicted from randomized trials.

CONCLUSION

Due to the difficulty of pre-specifying all potential confounders of an exposure-outcome association, data-driven approaches to PS variable selection may be useful. Selecting covariates strongly associated with exposure but unrelated to outcome should be avoided, because this may increase bias. Selecting variables for PS based on their association with the outcome may help to reduce such bias.

The risk of revision after primary total hip arthroplasty among statin users: a nationwide population-based nested case-control study

BACKGROUND

Statins have been associated with beneficial effects on bone metabolism and inflammation in both experimental and clinical studies. The association between statin use and the risk of revision after primary total hip arthroplasty has not been examined.

METHODS

We identified 2349 patients from the Danish Hip Arthroplasty Registry who underwent revision of a primary total hip replacement in the period from 1996 to 2005 and matched them, using propensity score matching, with 2349 controls with a total hip replacement who had not had a revision. Using conditional logistic regression, we estimated the relative risk of revision due to all causes and due to specific causes according to postoperative statin use.

RESULTS

The ten-year cumulative implant revision rate in the underlying cohort of 57,581 total hip arthroplasties from the registry was 8.9% (95% confidence interval, 8.4% to 9.4%). Postoperative statin use was associated with an adjusted relative risk of revision of 0.34 (95% confidence interval, 0.28 to 0.41) compared with no use of statin. Statin use was associated with a reduced risk of revision due to deep infection, aseptic loosening, dislocation, and periprosthetic fracture. No difference in the risk of revision due to pain or implant failure was found between statin users and nonusers.

CONCLUSIONS

The use of statins was associated with a substantially lower revision risk following primary total hip arthroplasty. Statins, however, should not be prescribed to healthy patients undergoing total hip arthroplasty in order to improve the longevity of the replacement until further studies have confirmed our finding and the mechanisms for this association have been clarified.

In vivo performance of simvastatin-loaded electrospun spiral-wound polycaprolactone scaffolds in reconstruction of cranial bone defects in the rat model

Reconstruction of large bone defects is still a major problem. Tissue-engineering approaches have become a focus in regeneration of bone. In particular, critical-sized defects do not ossify spontaneously. The use of electrospinning is attracting increasing attention in the preparation of tissue-engineering scaffolds. Recently, acellular scaffolds carrying bioactive agents have been used as scaffolds in "in situ" tissue engineering for soft and hard tissue repair. Poly(epsilon-caprolactone) (PCL) with two different molecular weights were synthesized, and the blends of these two were electrospun into nonwoven membranes composed of nanofibers/micropores. To stimulate bone formation, an active drug, "simvastatin" was loaded either after the membranes were formed or during electrospinning. The matrices were then spiral-wound to produce scaffolds with 3D-structures having both macro- and microchannels. Eight-millimeter diameter critical size cranial defects were created in rats. Scaffolds with or without simvastatin were then implanted into these defects. Samples from the implant sites were removed after 1, 3, and 6 months postimplantation. Bone regeneration and tissue response were followed by X-ray microcomputed tomography and histological analysis. These in vivo results exhibited osseous tissue integration within the implant and mineralized bone restoration of the calvarium. Both microCT and histological data clearly demonstrated that the more successful results were observed with the "simvastatin-containing PCL scaffolds," in which simvastatin was incorporated into the PCL scaffolds during electrospinning. For these samples, bone mineralization was quite significant when compared with the other groups.

Simvastatin locally applied from a biodegradable coating of osteosynthetic implants improves fracture healing comparable to BMP-2 application

Many clinical and experimental investigations address the influence of statins on bone formation and fracture healing. Simvastatin was shown to increase the expression of Bone morphogenetic protein (BMP-2), which is one of the most potent growth factors targeting bone formation. In this study, the effect of simvastatin locally applied from a bioactive polymer coating of implants on fracture healing was investigated. A closed fracture of the right tibia of 5-month-old Sprague-Dawley rats was performed. Intramedullary stabilization was achieved with uncoated vs. polymer-only coated vs. polymer plus drug coated titanium Kirschner wires. Test substances (either simvastatin low- or high dosed or BMP-2) were incorporated into a biodegradable layer of poly(d,l-lactide). Tibiae were harvested after 28 or 42 days, respectively and underwent biomechanical testing (torsional stiffness and maximum load) and histomorphometric analysis. Radiographic results demonstrated progressed callus consolidation in the BMP-2- and simvastatin-treated groups compared to the uncoated group at both timepoints. The simvastatin-high-dosed group revealed an increased torsional stiffness and significantly elevated maximum load (d 28) compared to control group as well as a significant increase in both parameters at d 42. BMP-2-treated animals showed significantly elevated maximum load and stiffness at the early timepoint and elevated torsional stiffness after d 42. The histomorphometric analysis revealed a significantly decreased cartilage area for BMP-2 treated animals at d 28. Even though an increase of mineralized areas among periosteal callus was found at d 42 for simvastatin-high as well as BMP-2 treated animals, no significant difference could be detected at both timepoints compared to the uncoated group. However, simvastatin-high treated animals revealed significantly reduced cartilage areas within the periosteal callus at d 42. The present study revealed a dose-dependent effect and improved fracture healing under local application of simvastatin. Biomechanical, radiographic and histomorphometric properties showed comparable results to BMP-2- treated animals in this study.