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20 months, ranging from 0.7 months to 12 months). Adverse events related to the administration of bisphosphonates included flue-like symptoms in 6 patients, musculoskeletal pain in 1 patient, arthralgias and fever in 9 patients.
The outcome of this systematic review indicated that the effect of bisphosphonates on pain relief and on regression of BME on MRI is controversial, but due to the low level of evidence of the included studies, no definite conclusions can be acquired and no evidence based recommendation could be given.
The outcome of this systematic review indicated that the effect of bisphosphonates on pain relief and on regression of BME on MRI is controversial, but due to the low level of evidence of the included studies, no definite conclusions can be acquired and no evidence based recommendation could be given.
Despite the increasing incidence of orthopaedic surgeries, there is a lack of data reporting on patient experience and recovery following surgery. As such, there is a need to better characterize the natural history of pain interference (PI) after orthopaedic surgery to better manage patients' expectations and recovery.
To identify factors associated with greater pain interference two weeks following orthopaedic surgery.
All patients undergoing elective outpatient orthopaedic surgery at a single urban academic institution were evaluated preoperatively from August 2016 to March 2018. Patients completed a baseline assessment consisting of demographic information, PROMIS computer adaptive testing in 6 domains including Pain Interference (PI), Physical Function, Social Satisfaction, Fatigue, Anxiety, and Depression. Two weeks following surgery, patients completed the same questionnaires along with assessments of Improvement and Satisfaction. PD166866 inhibitor Bivariate and multivariable regression analyses were performed. Categorical data was compared with ANOVA and continuous data was compared with Spearman's correlation coefficient (r
).
435 patients (age=41.1±15.7, 47% female) were studied. Mean PI was 60.1±7.0 prior to surgery and 61.7±7.6at 2 weeks postoperative. Worse 2 week PROMIS PI was associated with lower extremity surgery, prior surgery on the joint, preoperative opioid use, depression, lower income, lower education, and higher ASA score (p<0.05). Better 2 week PROMIS PI was correlated with better baseline and better 2 week scores on all outcome measures. Multivariable analysis demonstrated that lower extremity surgery, worse preoperative pain scores, and worse preoperative pain interference were independent predictors of worse pain interference after surgery.
Early postoperative pain interference is associated with function, demographic, and psychosocial factors.
Early postoperative pain interference is associated with function, demographic, and psychosocial factors.
Utilize a nationwide database to identify and compare the differences between patient demographics and clinical outcomes for patients undergoing simultaneous bilateral total hip arthroplasty (THA) and unilateral THA.
A nationwide administrative claims database was utilized; In-hospital, 90-day, and 1-year post-discharge rates of local and systemic complications were collected and compared with multivariate logistic regression.
Incidence of prosthetic joint infection was significantly lower in the bilateral cohort. Length of stay was significantly shorter in the unilateral THA cohort.
Surgeons should consider simultaneous bilateral THA a safe and effective procedure for low risk patients with appropriate comorbidities.
Surgeons should consider simultaneous bilateral THA a safe and effective procedure for low risk patients with appropriate comorbidities.Existing techniques of 3-D reconstruction of buildings from SAR images are mostly based on multibaseline SAR interferometry, such as PSI and SAR tomography (TomoSAR). However, these techniques require tens of images for a reliable reconstruction, which limits the application in various scenarios, such as emergency response. Therefore, alternatives that use a single SAR image and the building footprints from GIS data show their great potential in 3-D reconstruction. The combination of GIS data and SAR images requires a precise registration, which is challenging due to the unknown terrain height, and the difficulty in finding and extracting the correspondence. In this paper, we propose a framework to automatically register GIS building footprints to a SAR image by exploiting the features representing the intersection of ground and visible building facades, specifically the near-range boundaries in the building polygons, and the double bounce lines in the SAR image. Based on those features, the two data sets are registered progressively in multiple resolutions, allowing the algorithm to cope with variations in the local terrain. The proposed framework was tested in Berlin using one TerraSAR-X High Resolution SpotLight image and GIS building footprints of the area. Comparing to the ground truth, the proposed algorithm reduced the average distance error from 5.91 m before the registration to -0.08 m, and the standard deviation from 2.77 m to 1.12 m. Such accuracy, better than half of the typical urban floor height (3 m), is significant for precise building height reconstruction on a large scale. The proposed registration framework has great potential in assisting SAR image interpretation in typical urban areas and building model reconstruction from SAR images.The emergence of an epidemic evokes the need to monitor its spread and assess and validate any mitigation measures enacted by governments and administrative bodies in real time. We present here a method based on previous models of relaxation in fractal structures to observe and quantify this spread and the response of affected populations and governing bodies, and apply it to COVID-19 as a case study. This method provides means to simultaneously track in real time quantities such as the mortality and the recovery rates as well as the number of new infections caused by an infected person. With sufficient data, this method enables thorough monitoring and assessment of an epidemic without ad-hoc assumptions regarding the evolution of the pandemic in the future.