After the first knee surgery, medical complications were highest in the >24-week group. After the second knee, there were no significant difference in manipulation (P= .9), wound complications (P= .7), venous thromboembolism (P= .8), or other medical complications (P= 1) based on the interval duration. The interval between staged TKA did not affect early medical or surgical complications after the second stage. Early clinical and function results were not different based on timing of the second surgery.The interval between staged TKA did not affect early medical or surgical complications after the second stage. Early clinical and function results were not different based on timing of the second surgery. Advances in perioperative care have enabled early discharge and outpatient primary total joint arthroplasty (TJA). However, the safety of early discharge after revision TJA (rTJA) remains unknown and the COVID-19 pandemic will force decreased hospitalization. This study compared 90-day outcomes in patients undergoing aseptic rTJA discharged the same or next day (early) to those discharged 2 or 3 days postoperatively (later). In total, 530 aseptic rTJAs performed at a single tertiary care referral center (December 5, 2011 to December 30, 2019) were identified. Early and later discharge patients were matched as closely as possible on procedure type, sex, American Society of Anesthesiologists physical status classification, age, and body mass index. All patients were optimized using modern perioperative protocols. The rate of 90-day emergency department (ED) visits and hospital admissions was compared between groups. In total, 183 early discharge rTJAs (54 hips, 129 knees) in 178 patients were matched to 1inpatient capacity remains limited due to COVID-19, select rTJA patients may safely discharge home the same or next day to preserve hospital beds and resources for more critical illness.Follicle size is closely related to ovarian function and is an important biomarker in transvaginal ultrasound examinations for assessing follicular maturity during an assisted reproduction cycle. However, manual measurement is time consuming and subject to high inter- and intra- observer variability. Based on the deep learning model CR-Unet described in our previous study, the aim of our present study was to investigate further the feasibility of using this model in clinical practice by validating its performance in reducing the inter- and intra-observer variability of follicle diameter measurement. This study also investigated whether follicular area is a better biomarker than diameter in assessing follicular maturity. Data on 106 ovaries and 230 follicles collected from 80 cases of single follicular cycles and 26 cases of multiple follicular cycles constituted the validation set. Intra-observer variability was 0.973 and 0.982 for the senior sonographer and junior sonographer in single follicular cycles and 0.979 (0.971, 0.985) and 0.920 (0.892, 0.943) in multiple follicular cycles, respectively, while CR-Unet had no intra-group variation. Bland-Altman plot analysis indicated that the 95% limits of agreement between senior sonographer and CR-Unet (-2.1 to 1.1 mm, -2.02 to 0.75 mm) were smaller than those between senior sonographer and junior sonographer (-1.51 to 1.15 mm, -2.1 to 1.56 mm) in single and multiple follicular cycles. The average operating times of diameter measurement taken by the junior sonographer, senior sonographer and CR-Unet were 7.54 ± 1.8, 4.87 ± 0.84 and 1.66 ± 0.76 s, respectively (p less then 0.001). Correlation analysis indicated that both manual and automated follicular area correlated better with follicular volume than diameter. The deep learning algorithm and the new biomarker of follicular area hold potential for clinical application of ultrasonic follicular monitoring.Office-based surgery (OBS) with wide-awake local anesthesia no tourniquet (WALANT) surgery is a safe and cost-effective care model that is convenient for patient and provider alike. Currently, the practice is growing, but in the majority of North America the ambulatory-care center is still the most common setting for hand surgery. This article discusses the practical issues of implementing OBS with WALANT including clinical setup and workflows for OBS, negotiating payor contracts, and managing liability. The current study examined the role of perceived treatment need in explaining racial/ethnic disparities in treatment utilization for a substance use disorder (SUD). We pooled data from the National Survey on Drug Use and Health survey for years 2014-2017. The analytic sample included adult white, Black, and Latino participants with a past-year SUD (n=16,393). Multivariable logistic regressions examined racial/ethnic disparities in perceived treatment need-the perception of needing mental health and/or SUD treatment services within the past 12months-and utilization of past-year substance use, mental health, and any treatment. Latinos with SUD were less likely to perceive a need for treatment than whites. Black and Latino participants, relative to white participants, had lower odds of past-year treatment utilization, regardless of treatment type. read more In models stratified by perceived treatment need, racial/ethnic differences in the use of past-year SUD treatment and any treatment service were only significant among persons without a perceived need for treatment. We found no disparities in use of mental health treatment. Adults with SUD have low perceived treatment need overall but especially among Latinos. Furthermore, Black and Latino disparities in SUD treatment use may be driven in part by lower perceived need for treatment. Interventions that promote better perceived need and delivery models that strengthen the integration of SUD treatment in mental health services may help to reduce these disparities.Adults with SUD have low perceived treatment need overall but especially among Latinos. Furthermore, Black and Latino disparities in SUD treatment use may be driven in part by lower perceived need for treatment. Interventions that promote better perceived need and delivery models that strengthen the integration of SUD treatment in mental health services may help to reduce these disparities.