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Purpose: To provide a summarized state of the art of the relative efficacy and rapidity of action of pharmacological treatments to prevent imminent osteoporotic fractures. Methods: We reviewed metanalyses (MA) and network metaanalyses (NMA) published during the last 10 years concerning the pharmacological treatment of osteoporosis. We compared the anti-fracture efficacy and the rapidity of action of various agents versus placebo and versus risedronate. Results: All bisphosphonates decrease the incidence of vertebral fractures compared with placebo. Ibandronate is the only one without demonstrated efficacy against non-vertebral and hip fractures. Zoledronate, denosumab and anabolic therapy are associated with a higher fracture risk reduction than oral bisphosphonates. Compared with risedronate, which significantly reduces the rate of hip fractures, zoledronate, denosumab, teriparatide, abaloparatide and romosozumab are more efficient for vertebral fractures but not for non-vertebral or hip fractures reduction. No studies have compared bone anabolic treatments with zoledronate or denosumab. Oral bisphosphonates significantly reduce fracture risk only after more than one year of therapy. A faster reduction of fracture risk is observed with zoledronate and denosumab, or with anabolic agents. For denosumab and anabolic agents, a sequential treatment is required to keep gains after treatment withdrawal. Conclusions: In patients at high risk of imminent fracture, starting therapy with potent antiresorptive agents or with an anabolic agent seems most appropriate to promptly reduce the fracture risk. Available NMA/MA suggest that, compared to zoledronate and denosumab, anabolic agents have a higher efficacy for vertebral fractures but head-to-head studies are lacking.

Context: Individualized fracture risk may help to select patients requiring a pharmacological treatment for osteoporosis. FRAX and the Garvan fracture risk calculators are the most used tools, although their external validation has shown significant differences in their risk prediction ability. Objective and Methods: Using data from the Fracture Risk Brussels Epidemiological Enquiry study, a cohort of 3560 postmenopausal women aged 60 to 85 years, we aimed to construct original 5-year fracture risk prediction models using validated clinical risk factors (CRFs). Three models of competing risk analysis were developed to predict major osteoporotic fractures (MOFs), all fractures, and central fractures (femoral neck, shoulder, clinical spine, pelvis, ribs, scapula, clavicle, sternum). Results: Age, a history of fracture, and hip or spine BMD were predictors common to the 3 models. Excessive alcohol intake and the presence of comorbidities were specific additional CRFs for MOFs, a history of fall for all fractures, and rheumatoid arthritis for central fractures. Our models predicted the fracture probability at 5 years with an acceptable accuracy (Brier scores ≤ 0.1) and had a good discrimination power (area under the receiver operating curve of 0.73 for MOFs and 0.72 for central fractures) when internally validated by bootstrap. Three simple nomograms, integrating significant CRFs and the mortality risk, were constructed for different fracture sites. In conclusion, we derived 3 models predicting fractures with an acceptable accuracy, particularly for MOFs and central fractures. The models are based on a limited number of CRFs, and we constructed nomograms for use in clinical practice. [ABSTRACT FROM AUTHOR]

Patients who sustain a fracture are at greatest risk of recurrent fracture during the next 2 years. We propose three models to identify subjects most at risk of an imminent fracture, according to fracture site (any fracture, major osteoporotic fracture [MOF] or central). They were constructed using data of the prospective Frisbee cohort, which includes 3560 postmenopausal women aged 60 to 85 years who were followed for at least 5 years. A total of 881 subjects had a first incident validated fragility fracture before December 2018. Among these, we validated 130 imminent fractures occurring within the next 2 years; 79 were MOFs, and 88 were central fractures. Clinical risk factors were re‐evaluated at the time of the index fracture. Fine and Gray proportional hazard models were derived separately for each group of fractures. The following risk factors were significantly associated with the risk of any imminent fracture: total hip bone mineral density (BMD) (p < 0.001), a fall history (p < 0.001), and comorbidities (p = 0.03). Age (p = 0.05 and p = 0.03, respectively) and a central fracture as the index fracture (p = 0.04 and p = 0.005, respectively) were additional predictors of MOFs and central fractures. The three prediction models are presented as nomograms. The calibration curves and the Brier scores based on bootstrap resampling showed calibration scores of 0.089 for MOF, 0.094 for central fractures, and 0.132 for any fractures. The predictive accuracy of the models expressed as area under the receiver operating characteristic (AUROC) curve (AUC) were 0.74 for central fractures, 0.72 for MOFs, and 0.66 for all fractures, respectively. These AUCs compare well with those of FRAX and Garvan to predict the 5‐ or 10‐year fracture probability. In summary, five predictors (BMD, age, comorbidities, falls, and central fracture as the incident fracture) allow the calculation with a reasonable accuracy of the imminent risk of fracture at different sites (MOF, central fracture, and any fracture) after a recent sentinel fracture. © 2021 American Society for Bone and Mineral Research (ASBMR). [ABSTRACT FROM AUTHOR]

Introduction Hospitalization is associated with acute changes in sarcopenia status in older people, but the influencing factors are not fully understood. Pre-admission care dependency level as a risk factor has not yet been investigated. Objective Evaluate if pre-admission care dependency level is an independent predictor of sarcopenia changes following hospitalization. Setting and subjects Data came from the Sarcopenia 9+ EAMA Project, a European prospective multi-centre study. For this study, 227 hospitalised older people were included from four different hospitals in Belgium, Spain and Poland, between 18 February 2019 and 5 September 2020. Methods Sarcopenia status at admission and discharge were calculated using a combined score (desirability value) based on muscle mass (calf circumference), strength (grip) and function (walking speed). Ratio of admission to discharge status was the outcome (desirability ratio; 1.00 meaning no difference). Predictor variable was the pre-admission care dependency level, classified into three groups: independent older people living at home, dependent older people living at home and older people living in a care home. Linear regression models were applied, considering potential confounders. Results Mean desirability ratio for dependent older people living at home ('middle dependent group') was lower (0.89) compared to independent older people (0.98; regression coefficient −0.09 [95% CI −0.16, −0.02]) and care home patients (1.05; −0.16 [95% CI −0.01, −0.31]). Adjusting for potential confounders or using another statistical approach did not affect the main results. Conclusion Dependent older people living at home were at higher risk of deterioration in sarcopenia status following hospitalization. In-depth studies investigating causes and potential interventions of these findings are needed. [ABSTRACT FROM AUTHOR]