Search Results (6)

At Stavanger University Hospital (SUH), patients aged 50 years and above with a fracture after a fall are included in our Fracture Liaison Service (FLS) at the orthopaedic department, due to their high imminent fracture risk. The FLS at SUH keeps a quality registry, including index fractures, fall from standing/walking, preventive factors, Dual Absorptiometry X-ray (DXA) results and treatment status, in addition to risk factors such as chronic diseases. As in many other hospitals and countries, the capacity of the DXA scanner at SUH does not meet the needs of the ageing population. As such, FLS patients should be prioritised for DXA scanning according to their need for anti-osteoporotic treatment. The aims of this study were (1) to identify whether any risk factors are more strongly associated with osteoporosis than others, and (2) to use this information as a tool to prioritise patients for which the decision to initiate anti-osteoporotic treatment should be assessed by a DXA scan. Method: We used software from CheckWare to keep a structured health record, submitting journal text to the health record and data to our fracture quality registry from 1 June 2022 to 31 December 2024. The fracture coverage of the registry, as part of the medical record, was 100%. Both men and women aged over 50 years with fragility-related fractures were included in the analysis, with index fracture having been reported within 24 months prior to FLS assessment. Exclusion criteria: short life expectancy (<3 years), already started on anti-osteoporotic treatment, living in nursing home, age >97 years, or multi-trauma patients. Statistics were calculated using SPSS and logistic regression. The results are presented as odds ratio (OR) and 95% confidence interval (95% CI). Significant differences were considered at a p-value of <0.05. Results: A total of 6974 patients were included, 81% of which were female. After the DXA scan, 5307 of the patients were started on anti-osteoporotic treatment (76%). Patients aged 50–70 years were the largest group. Female patients or those aged 80 years or older had an increased odds ratio (OR) of starting treatment after a fracture. The index fractures included in the logistic regression analysis and were most likely to initiate anti-osteoporotic treatment in the FLS, were vertebral fracture (p < 0.000, OR 3.1, 95% CI: 2.4–4.0), hip fracture (p < 0.000, OR 2.60, 95% CI: 1.9–3.5), costa fracture (p-value = 0.028, OR:1.3, 95% CI:1.0–1.5), pelvic fracture (p-value < 0.000, OR 3.1, 95% CI: 1.8–5.1). Patients with lack of sufficient vitamin D had increased odds with OR of 1.7 (p-value < 0.00, 95% CI: 1.3–2.2) for having osteoporosis compared to the other FLS patients. Fall from standing, walking or sitting increased the odds for osteoporosis treatment (p-value < 0.000, OR 2.8, 95% CI: 2.3–3.3). Conclusions: The listed risk factors for needing treatment were high for most fractures, especially vertebral, hip, and pelvic fractures. Patients aged 80+ years and with a fracture from standing/walking could also start treatment directly, without waiting for a DXA scan. Thus, these patients should be shifted rapidly to FLS and started on treatment without delay. In this way, DXA scanning can be prioritised for patients for whom supporting information is needed regarding the decision to initiate anti-osteoporotic treatment, such as those with proximal humerus, wrist, or ankle fractures. Time to DXA scan could be shortened for these patients and 12 weeks may be achievable. Full article

Falls pose a significant threat to the elderly population, often resulting in severe health complications such as fractures and other adverse outcomes, which can drastically lower their quality of life. The early detection of fall risks is crucial in mitigating the impact of such events. Various technologies have been developed to address this issue, including alert systems that notify users of imminent risks due to environmental factors or physiological changes. However, accurately detecting and distinguishing between normal activities, imminent fall risks, and actual falls remains a challenge. This study proposes a machine learning approach using the XGBoost algorithm to improve the fall detection accuracy among the elderly. A dataset comprising 2039 samples of data on the proximity to objects, spatial location changes, heart rate, blood oxygen saturation (SpO₂), blood sugar levels, and pressure applied by the user, categorized into normal, imminent fall risk, and fall classes, was utilized to train and test the model. The model was trained on 70% of the data, with 30% allocated for testing. Hyperparameter optimization was performed using a randomized search with cross-validation. Previous studies have reported an accuracy of 0.9667 for the same dataset. In contrast, this study achieved an accuracy of 1.0, demonstrating a significant improvement in the overall performance compared to earlier work. The confusion matrix demonstrates the model’s ability to distinguish between all three classes with no false positives. Additionally, sensitivity tests were conducted by varying the training sample sizes and randomizing the data splits, confirming the model’s robustness in different conditions. These results show that the proposed method was able to correctly sort all the samples in the training and tests, outperforming previous studies in detecting fall-related events, reducing the likelihood of false alarms, and enhancing resource allocation for elderly care. Full article

Purpose: To evaluate the prediction of vertebral fractures in plasma cell dyscrasias using dual-layer CT (DLCT) with quantitative assessment of conventional CT image data (CI), calcium suppressed image data (CaSupp), and calculation of virtual calcium-only (VCa) image data. Material and Methods: Patients (n = 81) with the diagnosis of a plasma cell dyscrasia and whole-body DLCT at the time of diagnosis and follow-up were retrospectively enrolled. CI, CaSupp25, and CaSupp100 were quantitatively analyzed using regions of interest in the lumbar vertebral bodies and fractured vertebral bodies on baseline or follow-up imaging. VCa were calculated by subtraction (CaSupp100-CaSupp25), delineating bone only. Logistic regression analyses were performed to assess the possibility of imminent spine fractures. Results: In 24 patients, new vertebral fractures were observed in the follow-up imaging. The possibility of new vertebral fractures was significant for baseline assessment of CT numbers in CI, CaSupp25, and VCa (p = 0.01, respectively), with a higher risk for new fractures in the case of lower CT numbers in CI (Odds ratio = [0.969; 0.994]) and VCa (Odds ratio = [0.978; 0.995]) and in the case of higher CT numbers in CaSupp 25 (Odds ratio 1.015 [1.006; 1.026]). Direct model comparisons implied that CT numbers in CaSupp 25 and VCa might show better fracture prediction than those in CI (R² = 0.18 both vs. 0.15; AICc = 91.95, 91.79 vs. 93.62), suggesting cut-off values for CI at 103 HU (sensitivity: 54.2%; specificity: 82.5; AUC: 0.69), for VCa at 129 HU (sensitivity: 41.7%; specificity: 94.7; AUC: 0.72). Conclusions: Quantitative assessment with CaSupp and calculation of VCa is feasible to predict the vertebral fracture risk in MM patients. DLCT may prove useful in detecting imminent fractures. Full article

Rebound-associated vertebral fractures (RVFx) following denosumab discontinuation are typically multiple, are commonly associated with acute sharp pain, increase the risk of imminent fractures, and are pathogenetically different from common osteoporotic vertebral fractures (VFx). A clinically relevant question is whether patients with RVFx should be managed differently from patients with osteoporotic VFx. To address this question, we performed a systematic search of the PubMed database, and we reviewed current evidence on the optimal management of patients with RVFx. For pain relief of patients with RVFx, potent analgesics, often opioids, are essential. Information on the effectiveness of braces in these patients is scarce. Vertebroplasty and kyphoplasty are strongly contraindicated as they confer a substantial risk for new VFx. Exercise may be helpful, but again evidence is lacking. In contrast to patients with osteoporotic VFx, in whom initial treatment with bone-forming agents is recommended, patients with RVFx should initiate treatment with potent antiresorptives. To summarize, patients who have sustained RVFx following denosumab discontinuation are at a very high risk for new fractures, especially VFx. The management of such patients requires a multidisciplinary approach that should not be restricted to pain relief and administration of antiosteoporotic medication, but should also include back protection, early mobilization, and appropriate exercise. Full article

In deep underground mine engineering, the critical warning signals before the sudden failure of coal are crucial to predict coal or rock dynamic catastrophes and to help the coal industry grow sustainably. Therefore, with the objective of accurately identifying the precursor signals of coal fracture, a uniaxial compression test was adopted. Tests were performed on multiple sets of raw coal samples, and acoustic emission (AE) technology was used to capture the deformation and destruction courses of the coal samples. Furthermore, the signal intensity of AE energy was discussed. Based on the critical slowing down theory, the AE energy sequence was processed. The results indicate that there are significant discrepancies in the strength of coal affected by initial pore fissures. During the whole loading process, the AE energy signals showed obvious stage characteristics, and there was a high risk of rapid coal energy storage during the unstable rupture development (URD) stage, which predicted the imminent destruction of the coal. The variance mutation point that was not affected by the lag step selection was easier to identify than that of the autocorrelation coefficient, and the precursor points were all in the URD stage, which is more accurate than using the AE cumulative energy curve slope. Full article

Fragility fractures constitute a major public health problem worldwide, causing important high morbidity and mortality rates. The aim was to present the epidemiology of fragility fractures and to assess the imminent risk of a subsequent fracture and mortality. This is a retrospective population-based cohort study (n = 1369) with a fragility fracture. We estimated the incidence rate of index fragility fractures and obtained information on the subsequent fractures and death during a follow-up of up to three years. We assessed the effect of age, sex, and skeletal site of index fracture as independent risk factors of further fractures and mortality. Incidence rate of index fragility fractures was 86.9/10,000 person-years, with highest rates for hip fractures in women aged ≥80 years. The risk of fracture was higher in subjects with a recent fracture (Relative Risk(RR), 1.80; p < 0.01). Higher age was an independent risk factor for further fracture events. Significant excess mortality was found in subjects aged ≥80 years and with a previous hip fracture (hazard ratio, 3.43 and 2.48, respectively). It is the first study in Spain to evaluate the incidence of major osteoporotic fractures, not only of the hip, and the rate of imminent fracture. Our results provide further evidence highlighting the need for early treatment. Full article