There are challenges for the treatment of osteoporosis in patients with kidney failure and monoclonal antibodies (MAb) might be a suitable therapy. However, the efficacy and safety of MAb among patients with osteoporosis and renal insufficiency remains unclear.
We systematically searched PubMed, Embase, and Cochrane Central for studies evaluating the efficacy and safety of the use of MAb in patients with osteoporosis and renal insufficiency. We pooled risk ratios (RR) and 95% confidence intervals (CI) for binary outcomes. Mean difference (MD) was used for continuous outcomes.
We included 5 studies with 33,550 patients. MAb therapy decreased the risk of vertebral fractures (RR 0.32; 95% CI 0.26–0.40; P < 0.01) when compared to placebo and no statistical difference was found when comparing to bisphosphonate (RR 0.71; 95% CI 0.49–1.03; P = 0.07). MAb therapy also decreased the risk of nonvertebral fractures (RR 0.79; 95% CI 0.69–0.91; P = 0.0009). Lumbar spine bone mineral density (BMD) was higher in the MAb therapy when compared to both placebo (MD 10.90; 95% CI 8.00–13.80; P < 0.01) and bisphosphonate (MD 7.66; 95% CI 6.19–9.14; P < 0.01). There was no statistically significant difference in the change of estimated glomerular filtration rate and in the incidence of hypocalcemia and serious adverse events between groups.
There were reductions in both vertebral and nonvertebral fracture risks, alongside improvements in BMD among patients with renal insufficiency treated with MAb.
Bipolar hemiarthroplasty is commonly performed to treat displaced femoral neck fractures in osteoporotic patients. This study aimed to assess the occurrence and outcomes of unplanned return visits to the emergency department (ED) within 90 days following bipolar hemiarthroplasty for displaced femoral neck fractures.
The clinical data of 1322 consecutive patients who underwent bipolar hemiarthroplasty for osteoporotic femoral neck fractures at a tertiary medical center were analyzed. Data from the patients’ electronic medical records, including demographic information, comorbidities, and operative details, were collected. The risk factors and mortality rates were analyzed.
Within 90 days after surgery, 19.9% of patients returned to the ED. Surgery-related reasons accounted for 20.2% of the patient's returns. Older age, a high Charlson comorbidity index score, chronic kidney disease, and a history of cancer were identified as significant risk factors for unplanned ED visits. Patients with uncemented implants had a significantly greater risk of returning to the ED due to periprosthetic fractures than did those with cemented implants (P = 0.04). Patients who returned to the ED within 90 days had an almost fivefold greater 1-year mortality rate (15.2% vs 3.1%, P < 0.001) and a greater overall mortality rate (26.2% vs 10.5%, P < 0.001).
This study highlights the importance of identifying risk factors for unplanned ED visits after bipolar hemiarthroplasty, which may contribute to a better prognosis. Consideration should be given to the use of cemented implants for hemiarthroplasty, as uncemented implants are associated with a greater risk of periprosthetic fractures.
Evaluation of sarcopenia from computed tomography (CT) is often based on measuring skeletal muscle area on a single transverse slice. Automatic segmentation of muscle volume has a lower variance and may be a better proxy for the total muscle volume than single-slice areas. The aim of the study was to determine which abdominal and thoracic anatomical volumes were best at predicting the total muscle volume.
A cloud-based artificial intelligence tool (recomia.org) was used to segment all skeletal muscle of the torso of 994 patients who had performed whole-torso CT 2008–2020 for various clinical indications. Linear regression models for several anatomical volumes and single-slice areas were compared with regard to predicting the total torso muscle volume.
The muscle volume from the tip of the coccyx and 25 cm cranially was the best of the abdominal volumes and was significantly better than the L3 slice muscle area (R2 0.935 vs 0.830, P < 0.0001). For thoracic volumes, the muscle volume between the top of the sternum to the lower bound of the Th12 vertebra showed the best correlation with the total volume, significantly better than the Th12 slice muscle area (R2 0.892 vs 0.775, P < 0.0001). Adjusting for body height improved the correlation slightly for all measurements but did not significantly change the ordering.
We identified muscle volumes that can be reliably segmented by automated image analysis which is superior to single slice areas in predicting total muscle volume.