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BACKGROUND Total knee arthroplasty is on the rise. Some patients choose to undergo simultaneous bilateral total knee arthroplasty (simultaneous BTKA). No studies were found that examined which patients may be better candidates to successfully undergo this procedure. PURPOSE The purpose of this study was to determine personal and comorbid characteristics of patients undergoing simultaneous BTKA that are predictive of length of stay (LOS) and discharge to a skilled nursing facility (SNF). METHODS A retrospective database study of 125 patients post-simultaneous BTKA was conducted. Binary and multiple linear regression models identified personal and clinical predictors of LOS and SNF discharge. RESULTS Body mass index (BMI) (p less then .001) and SNF discharge (p = .025) were significant predictors of increased LOS and explained 18% of the variance. Older age, female sex, and presence of cardiopulmonary disease predicted SNF admission; 21% of the variance for SNF discharge was explained by the model. CONCLUSION Patients with a high BMI should be carefully screened before undergoing simultaneous BTKA; older patients, women, and those with cardiopulmonary disease may benefit from early discharge planning for SNF transfer, thereby decreasing LOS and hospital utilization.PRECIS Ultrasound Cyclo Plasty treatment using High-Intensity Focused Ultrasound is an effective and safe therapy to reduce intra ocular pressure in moderate glaucoma patients as was measured during a 2 years follow up period. PURPOSE To evaluate the long term safety and efficacy of the Ultrasound Cyclo Plasty (UCP) procedure using high intensity focused ultrasound (HIFU) in moderate glaucoma patients. PATIENTS AND METHODS A prospective interventional non-comparative study. Fifteen patients (15 eyes) with moderate open angle glaucoma were enrolled. All eyes were treated with UCP-HIFU. A thorough ophthalmic examination and intra ocular pressure (IOP) measurements were performed before the UCP-HIFU procedure and at 1 day, 1 week, 4 weeks, 3 months, 6 months, 1 year and 2 years after the procedure. Primary outcome was defined as a surgical success (IOP reduction of 20% or ≥5▒mmHg) at the last follow-up visit. Secondary outcomes were mean IOP at each follow-up visit, number of medications used, complications profile, and re-interventions. RESULTS Mean preoperative IOP at baseline was 26.8±5.0▒mmHg. All subjects had a positive response and a lower IOP after treatment with relatively stable 31% reduction in IOP during the follow-up period. A significant reduction in IOP was observed at all post-procedure exam points (P less then 0.01) with a mean 17.6±4.4▒mmHg at 2-year following the procedure (P=0.005). Surgical success was achieved in 87% of patients at their last follow-up visit. There was a non-significant decrease in mean number of glaucoma medications from 2.5±0.8 to 2.0±1.0 at 2 years (P=0.48). No major intraoperative or postoperative complications were noted. CONCLUSIONS UCP-HIFU treatment is an effective, safe and well-tolerated method to reduce IOP in patients with moderate glaucoma.PRéCIS Central Corneal thickness may increase over time in children affected by primary congenital glaucoma and treated with latanoprost for at least 30 months. PURPOSE To investigate central corneal thickness (CCT) modification over time in a population of primary pediatric glaucoma (PPG) patients prescribed a monotherapy of latanoprost. METHODS The present paper reports the results of a post hoc analysis on patients enrolled in the Glaucoma Italian Pediatric Study (GIPSy). Children affected by PPG, with a post-surgical intraocular pressure (IOP) between 22 and 26▒mm Hg and treated with latanoprost monotherapy for at least 30 months were eligible for the analysis. CCT variation from baseline was investigated over the follow-up using univariable and multivariable longitudinal linear mixed models. The impact of age, sex, and IOP on CCT variation was evaluated taking into account the interaction of each variable with time. RESULTS Twenty-seven eyes (20 patients) were included in the analysis. [https://www.selleckchem.com/products/fasoracetam-ns-105.html NS 105 datasheet] Mean duration of latanoprost treatment was 36.6 months (SD 2.5) and mean CCT at baseline was 551▒μm (SD 37.7). A significant increase of CCT over time was revealed by multivariable analysis, taking into account the impact of age at baseline and its interaction with time (P=0.03). The interaction between age and time was significant (P=0.04), indicating that older age at baseline was associated with lower increase of CCT over time. No variation of CCT was found in univariable analysis (P=0.28). CONCLUSION In this population of PPG patients treated with latanoprost for at least 30 months, CCT significantly increased over time, when the impact of age and its interaction with time were considered.BACKGROUND Prostate cancer (PCa) is the most common malignancy seen in men and the second leading cause of cancer-related death in males. The incidence and mortality associated with PCa has been rapidly increasing in China recently. METHODS Multiple diagnostic models of human PCa were developed based on Taylor database by combining the artificial neural networks (ANNs) to enhance the ability of PCa diagnosis. Genetic algorithm (GA) is used to select feature genes as numerical encoded parameters that reflect cancer, metastatic or normal samples. Back propagation (BP) neural network and learning vector quantization (LVQ) neural network were used to build different Cancer/Normal, Primary/Metastatic and Gleason Grade diagnostic models. RESULTS The performance of these modeling approaches was evaluated by predictive accuracy (ACC) and area under the ROC curve (AUC). By observing the statistically significant parameters of the three training sets, our Cancer/Normal, Primary/Metastatic and Gleason Grade models' with ACC and AUC can be drawn (97.33%, 0.9832), (99.17%, 0.9952), and (90.48%, 0.8742), respectively. CONCLUSION These results indicated that our diagnostic models of human PCa based on Taylor database combining the feature gene expression profiling data and artificial intelligence algorithms might act as a powerful tool for diagnosing PCa. Gleason Grade diagnostic models were used as novel prognostic diagnosis models for biochemical recurrence-free survival and overall survival, which might be helpful in the prognostic diagnosis of PCa in patients.