Can bone mineral density loss in the non-weight bearing distal forearm predict mortality?

Is Radiographic Osteoporotic Hip Morphology A Predictor For High Mortality Following Intertrochanteric Femur Fractures?: Osteoporotic Hip Morphology & Mortality

INTRODUCTION

Factors related to mortality after intertrochanteric femur fractures (ITFF) have been investigated intensively in the literature except for radiographic osteoporotic hip morphology. The aim of this study is to investigate the relationship between mortality and radiographic osteoporotic hip morphology of patients with ITFF.

PATIENTS AND METHODS

Patients who underwent surgery between the dates of January 2012 and June 2018 due to ITFF were retrospectively reviewed. Osteoporotic status of the proximal femur was determined based on Singh Index grading and Dorr classification systems on preoperative anteroposterior pelvis radiographs of contralateral hips. The mortality rates of the patients were measured at 1st, 3rd, 6th, and 12th months. For controlling the confounders, multiple regression analysis was performed.

RESULTS

A total of 321 consecutive ITFFs were included in the study. The mean age of the patients was 81.5 ± 6.6 years. All patients were treated with osteosynthesis utilizing a cephalomedullary nail. The overall mortality rates at 1st, 3rd, 6th, and 12th months were 7.2%, 13.4%, 16.2%, 22.7%, respectively. There was 2.196 (1.140 - 4.229) folds increase in the mortality rate of patients with the Dorr type C femurs at 6th month (p=0.019). However, Singh index grade was not significantly associated with mortality.

CONCLUSION

Patients with Dorr type C femur seem to have 2.1 times increased mortality at 6th months following ITFFs. A simple anteroposterior pelvis radiograph obtained during the initial evaluation of the patients may be used to estimate the mortality rate after ITFF.

Finite element analysis of bone remodelling with piezoelectric effects using an open-source framework

Bone tissue exhibits piezoelectric properties and thus is capable of transforming mechanical stress into electrical potential. Piezoelectricity has been shown to play a vital role in bone adaptation and remodelling processes. Therefore, to better understand the interplay between mechanical and electrical stimulation during these processes, strain-adaptive bone remodelling models without and with considering the piezoelectric effect were simulated using the Python-based open-source software framework. To discretise numerical attributes, the finite element method (FEM) was used for the spatial variables and an explicit Euler scheme for the temporal derivatives. The predicted bone apparent density distributions were qualitatively and quantitatively evaluated against the radiographic scan of a human proximal femur and the bone apparent density calculated using a bone mineral density (BMD) calibration phantom, respectively. Additionally, the effect of the initial bone density on the resulting predicted density distribution was investigated globally and locally. The simulation results showed that the electrically stimulated bone surface enhanced bone deposition and these are in good agreement with previous findings from the literature. Moreover, mechanical stimuli due to daily physical activities could be supported by therapeutic electrical stimulation to reduce bone loss in case of physical impairment or osteoporosis. The bone remodelling algorithm implemented using an open-source software framework facilitates easy accessibility and reproducibility of finite element analysis made.

The Risk of Osteoporotic Forearm Fractures in Postmenopausal Women in a Siberian Population Sample

The reduction in bone and muscle mass increases in menopausal women and poses a threat to the loss of self-dependence in the elderly. The aim of the study was to assess the frequency of osteoporotic forearm fractures (OFF) in postmenopausal women and to study their association with risk factors for chronic non-communicable diseases (NCD). The study was based on the Russian arm of the Health, Alcohol and Psychosocial Factors In Eastern Europe (HAPIEE) project (Novosibirsk). In a subsample of postmenopausal women aged 55–84 years old (n = 2005), we assessed the history of OFF during the last 3 years and risk factors for fracture and common NCD/. Cross-sectional associations between OFF history and potential determinants were analyzed using multivariable-adjusted logistic regression. A history of OFF in the last 3 years was found in 3.9% women. In a multivariable-adjusted model, the risk of OFF was directly associated with smoking in the past (OR = 2.23; 95% Cl 1.10–4.55), total cholesterol level higher than 200 mg/dL (OR = 1.98; 95% Cl 1.19–3.29), and it was inversely associated with body mass index (OR = 0.91; 95% Cl 0.86–0.96). In studied population sample of postmenopausal women the cross-sectional determinants of osteoporotic forearm fractures were smoking in the past and high total cholesterol value; body mass index protectively related to the risk of osteoporotic fractures. These findings might have implications for fracture prevention in postmenopausal women.