The random forest algorithm achieved the best performance in the independent testing set not used for algorithm development (c-statistic 0.97, calibration intercept -0.05, calibration slope 1.45, Brier score 0.054). The most important factors for achieving the MCID were preoperative PRHS, preoperative opioid use, age, and body mass index. Individual patient-level explanations were provided for the algorithm predictions and the algorithms were incorporated into an open access digital application available here https//sorg-apps.shinyapps.io/THA_PRHS_mcid/. CONCLUSION The current study created a clinical decision-making tool based on partially modifiable risk factors for predicting CSO after THA. The tool demonstrates excellent discriminative capacity for identifying those at greatest risk for failing to achieve CSO in their current health state and may allow for preoperative health optimization. BACKGROUND Total knee arthroplasty (TKA) is associated with increased risk of prolonged narcotic requirement compared to unicompartmental knee arthroplasty (UKA). The purpose of the current study is to compare acute postoperative narcotic consumption between the 2 procedures and quantify narcotic consumption. METHODS From October 2017 to August 2019 patients were surveyed for four weeks to determine the amount and duration of opioids consumed and requirement for continued narcotics. Among 976 opioid naïve patients, 314 (32%) underwent UKA and 662 (68%) underwent TKA. Patients were analyzed according to specific narcotic prescribed. Total morphine equivalent dose (MED), number of pills, duration, refill percentage, and usage percentage for 4 weeks were calculated for each procedure. RESULTS MED used in the postoperative period was lower in patients undergoing UKA than TKA (200 ± 195 vs 259 ± 250 MED, P = .002). Total number of pills consumed and duration of use was less in UKA compared to TKA regardless of which opioid was prescribed. A smaller proportion of patients required narcotics for 4 weeks after UKA (32% vs 43%, P less then .001), and fewer UKA patients required narcotic refills (14% vs 27%, P less then .001). Sixty pills of any 1 type of narcotic was sufficient for 90% of UKA patients and over 75% of TKA patients. CONCLUSION UKA is associated with less narcotic consumption, shorter duration of use, less refills, and lower likelihood of narcotic requirement for 4 weeks. We report narcotic consumption patterns for both procedures to aid surgeons in judicious postoperative prescribing. LEVEL OF EVIDENCE This is a level III retrospective cohort study reviewing narcotic use in over 900 consecutive opioid naïve patients undergoing UKA or TKA. Dupilumab, a dual inhibitor of IL-4 and IL-13 cytokine signaling, is indicated for the treatment of moderate-to-severe atopic dermatitis, which leads to the control of atopic dermatitis. The cytokines IL-4 and IL-13 are related to vascular inflammation, which is mediated by vascular endothelial cells. We report the case of a 20-year-old man with atopic dermatitis treated with dupilumab for half a year, who presented with sudden onset of dizziness, nausea, and slight cerebellar ataxia. Brain magnetic resonance imaging revealed acute infarction in the bicerebellar hemispheres. No risk factors known to be associated with ischemic stroke in young adults were detected. We suspected this ischemic stroke might be related to dupilumab. The administration of dupilumab was discontinued, and he had no recurrence subsequently. IL-4 and IL-13, anti-inflammatory cytokines secreted from T helper 2 cells, suppress proinflammatory cytokines. https://www.selleckchem.com/products/zidesamtinib.html Therefore, dupilumab, a dual inhibitor of IL-4 and IL-13 cytokine signaling, leads to the promotion of coagulation and thrombosis. We speculate that the activation of proinflammatory cytokines in vascular endothelial cells by the inhibition of IL-4 and IL-13 signaling by dupilumab led to ischemic stroke even at a young age. OBJECTIVE Central nervous system (CNS) ischemic events caused by fungal infections are rare, and clinical characteristics of these ischemic events are largely unknown. The objective of this manuscript is to highlight characteristics of fungal-related strokes and describe possible mechanistic differences between CNS mold and yeast infection-related strokes. METHODS We report a single-center retrospective case series of all adult patients who presented with concurrent CNS fungal infection and stroke between 2010 and 2018. Patients believed to have a stroke etiology due to cardioembolic, atheroembolic, or strokes nontemporally associated with a CNS fungal infection and those with incomplete stroke workups were excluded from analysis. RESULTS Fourteen patients were identified with ischemic stroke and concurrent CNS fungal infection without other known ischemic stroke etiology. Eight patients had a CNS yeast infection, and 6 had a CNS mold infection. All patients presented with recurrent or progressive stroke symptoms. Six patients were immune-compromised. Four patients admitted to intravenous drug use. All yeast infections were identified by cerebrospinal fluid culture or immunologic studies while all but one of the mold infections required identification by tissue biopsy. Leptomeningeal enhancement was only associated with CNS yeast infections, while basal ganglia stroke was only associated with CNS mold infections. CONCLUSION Ischemic stroke secondary to CNS fungal infections should be considered in patients with recurrent or progressive cryptogenic stroke, regardless of immune status and cerebrospinal fluid profile. CNS yeast and mold infections have slightly different stroke and laboratory characteristics and should have a distinct diagnostic method. Depending on clinical suspicion, a thorough diagnostic approach including spinal fluid analysis and biopsy should be considered. BACKGROUND To improve the clinical efficiency of acute stroke management, we implemented a new staff training intervention. The training consisted of a case-based discussion of recent thrombolysis cases with the entire neurologic staff for 1 year. Here, we sought to determine whether the effects of this training were sustained after the discontinuation of the intervention. METHODS All thrombolysis cases prior to the intervention (2015, 2016), during the time of training (2017) and after the discontinuation of the training (2018) were recorded and compared. The primary outcome parameter was door-to-needle time. RESULTS Door-to-needle time decreased from 37 minutes in the preintervention period to 28 minutes during the intervention period (P 6 years of neurologic training) significantly decreased (from 25.4 minutes during the intervention to 31.7 minutes after discontinuation, P = .047). By using regression analysis to control for multiple confounding factors, we found a significant association between the intervention and an improved patient outcome (P = .