Explicit Finite Element Models Accurately Predict Subject-Specific and Velocity-Dependent Kinetics of Sideways Fall Impact

The majority of hip fractures in the elderly are the result of a fall from standing or from a lower height. Current injury models focus mostly on femur strength while neglecting subject-specific loading. This article presents an injury modeling strategy for hip fractures related to sideways falls that takes subject-specific impact loading into account. Finite element models (FEMs) of the human body were used to predict the experienced load and the femoral strength in a single model. We validated these models for their predicted peak force, effective pelvic stiffness, and fracture status against matching ex vivo sideways fall impacts (n = 11) with a trochanter velocity of 3.1 m/s. Furthermore, they were compared to sideways impacts of volunteers with lower impact velocities that were previously conducted by other groups. Good agreement was found between the ex vivo experiments and the FEMs with respect to peak force (root mean square error [RMSE] = 10.7%, R² = 0.85) and effective pelvic stiffness (R² = 0.92, RMSE = 12.9%). The FEMs were predictive of the fracture status for 10 out of 11 specimens. Compared to the volunteer experiments from low height, the FEMs overestimated the peak force by 25% for low BMI subjects and 8% for high BMI subjects. The effective pelvic stiffness values that were derived from the FEMs were comparable to those derived from impacts with volunteers. The force attenuation from the impact surface to the femur ranged between 27% and 54% and was highly dependent on soft tissue thickness (R² = 0.86). The energy balance in the FEMS showed that at the time of peak force 79% to 93% of the total energy is either kinetic or was transformed to soft tissue deformation. The presented FEMs allow for direct discrimination between fracture and nonfracture outcome for sideways falls and bridge the gap between impact testing with volunteers and impact conditions representative of real life falls. © 2019 American Society for Bone and Mineral Research.     

Bone Radiomics Score Derived From DXA Hip Images Enhances Hip Fracture Prediction in Older Women

Dual-energy X-ray absorptiometry (DXA)-based bone mineral density testing is standard to diagnose osteoporosis to detect individuals at high risk of fracture. A radiomics approach to extract quantifiable texture features from DXA hip images may improve hip fracture prediction without additional costs. Here, we investigated whether bone radiomics scores from DXA hip images could improve hip fracture prediction in a community-based cohort of older women. The derivation set (143 women who sustained hip fracture [mean age 73 years, time to fracture median 2.1 years] versus 290 age-matched women [mean age 73 years] who did not sustain hip fracture during follow-up [median 5.5 years]) were split into the train set (75%) and the test set (25% hold-out set). Among various models using 14 selected features out of 300 texture features mined from DXA hip images in the train set, random forest model was selected as the best model to build a bone radiomics score (range 0 to 100) based on the performance in the test set. In a community-based cohort (2029 women, mean age 71 years) as the clinical validation set, the bone radiomics score was calculated using a model fitted in the train set. A total of 34 participants (1.7%) sustained hip fracture during median follow-up of 5.4 years (mean bone radiomics score 40 ± 16 versus 28 ± 12 in non-fractured, p < 0.001). A one-point bone radiomics score increment was associated with a 4% elevated risk of incident hip fracture (adjusted hazard ratio [aHR] = 1.04, p = 0.001) after adjustment for age, body mass index (BMI), previous history of fracture, and femoral neck T-score, with improved model fit when added to covariates (likelihood ratio chi-square 10.74, p = 0.001). The association between bone radiomics score with incident hip fracture remained robust (aHR = 1.06, p < 0.001) after adjustment for FRAX hip fracture probability. Bone radiomics scores estimated from texture features of DXA hip images have the potential to improve hip fracture prediction. © 2021 American Society for Bone and Mineral Research (ASBMR).     

The Accuracy of Incident Vertebral Fracture Detection in Children Using Targeted Case-Finding Approaches

Vertebral fractures are clinically important sequelae of a wide array of pediatric diseases. In this study, we examined the accuracy of case-finding strategies for detecting incident vertebral fractures (IVF) over 2 years in glucocorticoid-treated children (n = 343) with leukemia, rheumatic disorders, or nephrotic syndrome. Two clinical situations were addressed: the prevalent vertebral fracture (PVF) scenario (when baseline PVF status was known), which assessed the utility of PVF and low lumbar spine bone mineral density (LS BMD; Z-score <−1.4), and the non-PVF scenario (when PVF status was unknown), which evaluated low LS BMD and back pain. LS BMD was measured by dual-energy X-ray absorptiometry, vertebral fractures were quantified on spine radiographs using the modified Genant semiquantitative method, and back pain was assessed by patient report. Forty-four patients (12.8%) had IVF. In the PVF scenario, both low LS BMD and PVF were significant predictors of IVF. Using PVF to determine which patients should have radiographs, 11% would undergo radiography (95% confidence interval [CI] 8–15) with 46% of IVF (95% CI 30–61) detected. Sensitivity would be higher with a strategy of PVF or low LS BMD at baseline (73%; 95% CI 57–85) but would require radiographs in 37% of children (95% CI 32–42). In the non-PVF scenario, the strategy of low LS BMD and back pain produced the highest specificity of any non-PVF model at 87% (95% CI 83–91), the greatest overall accuracy at 82% (95% CI 78–86), and the lowest radiography rate at 17% (95% CI 14–22). Low LS BMD or back pain in the non-PVF scenario produced the highest sensitivity at 82% (95% CI 67–92), but required radiographs in 65% (95% CI 60–70). These results provide guidance for targeting spine radiography in children at risk for IVF. © 2021 American Society for Bone and Mineral Research (ASBMR).     

Implementing and Evaluating Evidence-Based Treatments in Schools: Successes and Lessons Learned

This pilot study presents a community's attempt to enhance their school mental health partnership by collaborating with a university to implement the Youth Experiencing Success in School (Y.E.S.S.) Program, a school mental health program composed of evidence-based treatments (EBTs) for children with disruptive behavior problems (Owens et al, in press). The study sought to replicate the effectiveness of the Y.E.S.S. Program and evaluate treatment effectiveness under high university involvement conditions (HUI: services provided by university graduate students) and low university involvement conditions (LUI: services provided by community professionals). HLM analyses indicated that the rates of improvement for the HUI and LUI conditions did not differ significantly for any treatment outcome variable. When these two treatment groups were combined, teachers reported that treated children demonstrated significant improvements in symptoms, social functioning, and classroom functioning, whereas control children on a waiting list did not. Results replicated some of the positive effects of the Y.E.S.S. Program and offer grounds for optimism that, with sufficient technical support, EBTs can retain their effectiveness when delivered by community professionals in schools in under-served communities. Successes and lessons learned from the process of transporting EBTs to the community via a school-mental health partnership are presented.     

Creation and Critique of Studies of Diagnostic Accuracy: Use of the STARD and QUADAS Methodological Quality Assessment Tools

Abstract

Clinical special tests are a mainstay of orthopaedic diagnosis. Within the context of the evidence-based practice paradigm, data on the diagnostic accuracy of these special tests are frequently used in the decision-making process when determining the diagnosis, prognosis, and selection of appropriate intervention strategies. However, the reported diagnostic utility of these tests is significantly affected by study methodology of diagnostic accuracy studies. Methodological shortcomings can influence the outcome of such studies, and this in turn will affect the clinician's interpretation of diagnostic findings. The methodological issues associated with studies investigating the diagnostic utility of clinical tests have mandated the development of the STARD (Standards for Reporting of Diagnostic Accuracy) and QUADAS (Quality Assessment of Diagnostic Accuracy Studies) criterion lists. The purpose of this paper is to outline the STARD and QUADAS criterion lists and to discuss how these methodological quality assessment tools can assist the clinician in ascertaining clinically useful information from a diagnostic accuracy study.     

Feasibility of further motor recovery in patients undergoing physiotherapy more than 6 months after severe traumatic brain injury: an updated literature review

Abstract

The aim of this updated literature review was to evaluate the extent to which adults are documented as being capable of further motor recovery more than 6 months after a severe traumatic brain injury. This topic has high potential relevance for neurological physiotherapists, some of whom may be tasked with implementing physical treatment programmes for this challenging patient group. A revised search of relevant databases was carried out, using the previous review as a starting point. A further 10 papers were identified, extending the original total to 18 published studies. Of the 18 papers, 13 were single-case studies, with 5 being reports of subject groups (8–80 subjects; median, 20 subjects). Recovery was documented as occurring over periods which extended up to 180 months' post-injury, though more reports fell within the 60 months' post-injury period. Evidence supporting the hypothesis that subjects are readily capable of continuing and/or further change was not overwhelming; reasons for this are discussed.     

Risk assessment tools to identify women with increased risk of osteoporotic fracture: Complexity or simplicity? A systematic review

A huge number of risk assessment tools have been developed. Far from all have been validated in external studies, more of them have absence of methodological and transparent evidence, and few are integrated in national guidelines. Therefore, we performed a systematic review to provide an overview of existing valid and reliable risk assessment tools for prediction of osteoporotic fractures. Additionally, we aimed to determine if the performance of each tool was sufficient for practical use, and last, to examine whether the complexity of the tools influenced their discriminative power. We searched PubMed, Embase, and Cochrane databases for papers and evaluated these with respect to methodological quality using the Quality Assessment Tool for Diagnostic Accuracy Studies (QUADAS) checklist. A total of 48 tools were identified; 20 had been externally validated, however, only six tools had been tested more than once in a population‐based setting with acceptable methodological quality. None of the tools performed consistently better than the others and simple tools (i.e., the Osteoporosis Self‐assessment Tool [OST], Osteoporosis Risk Assessment Instrument [ORAI], and Garvan Fracture Risk Calculator [Garvan]) often did as well or better than more complex tools (i.e., Simple Calculated Risk Estimation Score [SCORE], WHO Fracture Risk Assessment Tool [FRAX], and Qfracture). No studies determined the effectiveness of tools in selecting patients for therapy and thus improving fracture outcomes. High‐quality studies in randomized design with population‐based cohorts with different case mixes are needed.     

Improved Fracture Risk Assessment Based on Nonlinear Micro‐Finite Element Simulations From HRpQCT Images at the Distal Radius

More accurate techniques to estimate fracture risk could help reduce the burden of fractures in postmenopausal women. Although micro‐finite element (µFE) simulations allow a direct assessment of bone mechanical performance, in this first clinical study we investigated whether the additional information obtained using geometrically and materially nonlinear µFE simulations allows a better discrimination between fracture cases and controls. We used patient data and high‐resolution peripheral quantitative computed tomography (HRpQCT) measurements from our previous clinical study on fracture risk, which compared 100 postmenopausal women with a distal forearm fracture to 105 controls. Analyzing these data with the nonlinear µFE simulations, the odds ratio (OR) for the factor‐of‐risk (yield load divided by the expected fall load) was marginally higher (1.99; 95% confidence interval [CI], 1.41–2.77) than for the factor‐of‐risk computed from linear µFE (1.89; 95% CI, 1.37–2.69). The yield load and the energy absorbed up to the yield point as computed from nonlinear µFE were highly correlated with the initial stiffness (R² = 0.97 and 0.94, respectively) and could therefore be derived from linear simulations with little loss in precision. However, yield deformation was not related to any other measurement performed and was itself a good predictor of fracture risk (OR, 1.89; 95% CI, 1.39–2.63). Moreover, a combined risk score integrating information on relative bone strength (yield load‐based factor‐of‐risk), bone ductility (yield deformation), and the structural integrity of the bone under critical loads (cortical plastic volume) improved the separation of cases and controls by one‐third (OR, 2.66; 95% CI, 1.84–4.02). We therefore conclude that nonlinear µFE simulations provide important additional information on the risk of distal forearm fractures not accessible from linear µFE nor from other techniques assessing bone microstructure, density, or mass. © 2013 American Society for Bone and Mineral Research.     

Human neural stem cell differentiation following transplantation into spinal cord injured mice: association with recovery of locomotor function

Abstract

Stem cells are under intense investigation as potential therapeutics for central nervous system (CNS) injury and disease. However, several reports have suggested that stem cells grown as neurospheres and transplanted into an injured environment preferentially differentiate into astrocytes, contributing to glial scar. Further, the relationship between functional recovery and cell transplantation has not been empirically investigated in early studies. Using severe combined immunodeficient (scid) mice to minimize xenograft rejection, we report that prospectively isolated human fetal CNS-derived stem cells grown as neurospheres (hCNS-SCns) survive, migrate and express differentiation markers for neurons and oligodendrocytes after long-term engraftment in spinal cord injured (SCI) NOD-scid mice. Only rarely do these cells differentiate into glial fibrillary acidic protein (GFAP)-positive astrocytes, with no apparent contribution to glial scar. hCNS-SCns engraftment was associated with recovery of locomotor function. After long-term engraftment and stable behavioral plateaus in recovery were achieved (4 months post-transplantation), locomotor improvements were abolished by selective ablation of human cells with diphtheria toxin (DT). These data suggest that hCNS-SCns survival is required for locomotor recovery, possibly via differentiation and integration of human cells in the mouse host or continuous supply of trophic or other support necessary for gains in host cell function.     

Site‐Dependent Reference Point Microindentation Complements Clinical Measures for Improved Fracture Risk Assessment at the Human Femoral Neck

In contrast to traditional approaches to fracture risk assessment using clinical risk factors and bone mineral density (BMD), a new technique, reference point microindentation (RPI), permits direct assessment of bone quality; in vivo tibial RPI measurements appear to discriminate patients with a fragility fracture from controls. However, it is unclear how this relates to the site of the most clinically devastating fracture, the femoral neck, and whether RPI provides information complementary to that from existing assessments. Femoral neck samples were collected at surgery after low‐trauma hip fracture (n = 46; 17 male; aged 83 [interquartile range 77–87] years) and compared, using RPI (Biodent Hfc), with 16 cadaveric control samples, free from bone disease (7 male; aged 65 [IQR 61–74] years). A subset of fracture patients returned for dual‐energy X‐ray absorptiometry (DXA) assessment (Hologic Discovery) and, for the controls, a micro‐computed tomography setup (HMX, Nikon) was used to replicate DXA scans. The indentation depth was greater in femoral neck samples from osteoporotic fracture patients than controls (p < 0.001), which persisted with adjustment for age, sex, body mass index (BMI), and height (p < 0.001) but was site‐dependent, being less pronounced in the inferomedial region. RPI demonstrated good discrimination between fracture and controls using receiver‐operating characteristic (ROC) analyses (area under the curve [AUC] = 0.79 to 0.89), and a model combining RPI to clinical risk factors or BMD performed better than the individual components (AUC = 0.88 to 0.99). In conclusion, RPI at the femoral neck discriminated fracture cases from controls independent of BMD and traditional risk factors but dependent on location. The clinical RPI device may, therefore, supplement risk assessment and requires testing in prospective cohorts and comparison between the clinically accessible tibia and the femoral neck. © 2015 American Society for Bone and Mineral Research.