Vaping Flavors and Flavor Representation: A Test of Youth Risk Perceptions, Novelty Perceptions, and Susceptibility.

INTRODUCTION: Whether novelty-flavored vaping devices should be available in the marketplace has been a hotly contested debate. From one perspective, the variety of different flavors, such as fruit and mint, may help adult cigarette smokers who are seeking to switch to reduced-harm nicotine products. However, these flavors are also wildly popular among youth, creating concerns about new nicotine product use among minors. AIMS AND METHODS: This experiment (n = 176) tests whether vaping flavors (tobacco vs fruit) and flavor representations on packages (flavor color, flavor image) influence how middle school youth perceive vaping products. RESULTS: While results show no difference in risk perceptions based on condition, novelty perceptions (eg, how fun, interesting) and susceptibility to vaping are highest among those who view the fruit-flavored vaping product with flavor color and flavor image. Those who viewed this condition reported higher novelty perceptions and susceptibility than those who viewed the fruit-flavored vaping product with no flavor color and no flavor image. Additionally, they reported higher novelty perceptions than those who viewed the tobacco-flavored vaping product with flavor color and flavor image. A post-hoc analysis in supplemental data shows that youth who report lower risk perceptions and higher susceptibility have higher behavioral intentions to vape in the next year. CONCLUSION: Findings suggest that restricting flavor representation on packaging might reduce how fun and interesting youth perceive these products to be and how susceptible they are to using them.

Developing wipe sampling strategy guidance for assessing environmental contamination of antineoplastic drugs.

Surveillance for environmental contamination of antineoplastic drugs has been recommended by authoritative bodies such as the United States Pharmacopeia and the National Association of Pharmacy Regulatory Authorities. Clear guidance is needed on how to develop sampling strategies that align with surveillance objectives efficiently and effectively. We conducted a series of simulations using previously collected surveillance data from nine cancer treatment centers to evaluate different sampling strategies. We evaluated the impact of sampling 2, 5, 10, or 20 surfaces, at monthly, quarterly, semi-annual, and annual frequencies, while employing either a random or sentinel surface selection strategy to assess contamination by a single antineoplastic drug (AD) or by a panel of three ADs. We applied two different benchmarks: a binary benchmark of above or below the limit of detection and AD-specific hygienic guidance values, based on 90th percentile values as quantitative benchmarks. The use of sentinel surfaces to evaluate a three-drug panel relative to 90th percentile hygienic guidance values (HGVs) resulted in the most efficient and effective surveillance strategy.

Tobacco Free Nicotine Vaping Products: A Study of Health Halo Effects Among Middle School Youth.

Health halo effects are a form of biased processing, wherein a particular product claim bleeds over to other categories of analysis or to an overall healthier impression. This study tests whether the term tobacco-free nicotine triggers a health halo effect. Through an experiment with middle school youth (n = 599), we vary the flavor (tobacco vs. fruit) and nicotine source information (nicotine/tobacco-free nicotine/nicotine from tobacco) on the warning label of the vaping product participants viewed. We evaluate product measures (nicotine content beliefs, nicotine source beliefs, and risk perceptions) and comparative nicotine source misperceptions (addictiveness, safety, and risk). Findings show that the term tobacco-free nicotine triggers inaccurate nicotine content beliefs, nicotine source beliefs, and misperceptions associated with addictiveness, safety, and risk. We conclude with theoretical and regulatory implications.

Learning and Attention Deficit/Hyperactivity Disorders as Risk Factors for Prolonged Concussion Recovery in Children and Adolescents.

OBJECTIVE: Examine pre-existing learning disorders (LD) and attention deficit/hyperactivity disorders (ADHD) as risk factors for prolonged recovery and increased symptomology following pediatric mild traumatic brain injury (mTBI). METHODS: We conducted a retrospective cohort study of children/adolescents (5-17 years) with mTBI who presented to a Children's Minnesota Concussion Clinic between April 2018 and March 2019. Differences across strata of pre-existing conditions (present vs. absent) in time to recovery measures were estimated via Kaplan-Meier and Cox proportional hazards analyses and differences in symptom trajectories were examined via linear mixed-effects regression models. Regression models were adjusted for age, sex and other confounders. RESULTS: In our cohort of 680 mTBI patients, those with LD (n = 70) or ADHD (n = 107) experienced significantly longer median durations of symptoms (58 and 68 days, respectively) than those without (43 days). Accordingly, LD was significantly associated with delayed symptom recovery (adjusted hazard ratio (aHR) = 1.63, 95% CI: 1.16-2.29), return to school (1.47, 1.08-2.00), and return to physical activity (1.50, 1.10-2.04). Likewise, ADHD was associated with delayed recovery (1.69, 1.28-2.23), return to school (1.52, 1.17-1.97) and physical activity (1.55, 1.19-2.01). Further, patients with LD or ADHD reported, on average, significantly more concussion symptoms and higher vision symptom scores throughout recovery versus those without. There was no evidence that concussion or vision symptom recovery trajectories varied over time between those with/without LD or ADHD (joint P-interactions > 0.05). CONCLUSION: Pre-existing LD and ADHD are risk factors for prolonged and more symptomatic mTBI recovery in youth. These results can inform clinical concussion management and recovery expectations.

Temporomandibular disorder-related characteristics and treatment outcomes in Oromandibular Dystonia patients in two different clinical settings: A cross-sectional study.

INTRODUCTION: Clinical presentation of oromandibular dystonia (OMD) is variable that can be further complicated by the presence of temporomandibular disorder (TMD) symptoms. We sought to evaluate variations in the clinical presentation of OMD patients, particularly TMD-related characteristics, in two clinical settings. METHODS: In a cross-sectional study design, a Web-based data collection survey was provided to eligible patients with OMD from movement disorder (MD) and oro-facial pain (OFP) clinics. The survey questionnaire was designed to collect information on demographic characteristics, clinical presentation particularly related to TMD, quality of life and treatment outcomes. Validated questionnaires were used when available such as the TMD Pain Screener, EuroQol 5-Dimensions 5-Levels (EQ-5D-5L), Jaw Functional Limitation Scale and Global Rating of Change Scale. RESULTS: Of 53 eligible patients, 31 responded to the survey for a 58% response rate. Forty-eight per cent of patients in the MD clinic and 60% of patients in the OFP clinic reported jaw pain along with involuntary movements. Of those, 90% from the MD group and 83% from the OFP group screened positive with the TMD Pain Screener at the onset of symptoms based on recall. Positive TMD Pain Screener response was observed in about 40% of patients in both clinics within 30 days of questionnaire response. No statistically significant differences were observed between two groups for any measured variables. CONCLUSION: Patients with OMD have features of TMD, irrespective of the clinical setting in which they seek and receive care. OMD patients from both clinics were similar in terms of clinical presentation, quality of life and treatment outcomes.

Impact of gastroesophageal reflux on longitudinal lung function and quantitative computed tomography in the COPDGene cohort.

RATIONALE: Gastroesophageal reflux disease (GERD) is a common comorbidity in chronic obstructive pulmonary disease (COPD) and has been associated with increased risk of acute exacerbations, hospitalization, emergency room visits, costs, and quality-of-life impairment. However, it remains unclear whether GERD contributes to the progression of COPD as measured by lung function or computed tomography. OBJECTIVE: To determine the impact of GERD on longitudinal changes in lung function and radiographic lung disease in the COPDGene cohort. METHODS: We evaluated 5728 participants in the COPDGene cohort who completed Phase I (baseline) and Phase II (5-year follow-up) visits. GERD status was based on participant-reported physician diagnoses. We evaluated associations between GERD and annualized changes in lung function [forced expired volume in 1 s (FEV1) and forced vital capacity (FVC)] and quantitative computed tomography (QCT) metrics of airway disease and emphysema using multivariable regression models. These associations were further evaluated in the setting of GERD treatment with proton-pump inhibitors (PPI) and/or histamine-receptor 2 blockers (H2 blockers). RESULTS: GERD was reported by 2101 (36.7%) participants at either Phase I and/or Phase II. GERD was not associated with significant differences in slopes of FEV1 (difference of - 2.53 mL/year; 95% confidence interval (CI), - 5.43 to 0.37) or FVC (difference of - 3.05 mL/year; 95% CI, - 7.29 to 1.19), but the odds of rapid FEV1 decline of ≥40 mL/year was higher in those with GERD (adjusted odds ratio (OR) 1.20; 95%CI, 1.07 to 1.35). Participants with GERD had increased progression of QCT-measured air trapping (0.159%/year; 95% CI, 0.054 to 0.264), but not other QCT metrics such as airway wall area/thickness or emphysema. Among those with GERD, use of PPI and/or H2 blockers was associated with faster decline in FEV1 (difference of - 6.61 mL/year; 95% CI, - 11.9 to - 1.36) and FVC (difference of - 9.26 mL/year; 95% CI, - 17.2 to - 1.28). CONCLUSIONS: GERD was associated with faster COPD disease progression as measured by rapid FEV1 decline and QCT-measured air trapping, but not by slopes of lung function. The magnitude of the differences was clinically small, but given the high prevalence of GERD, further investigation is warranted to understand the potential disease-modifying role of GERD in COPD pathogenesis and progression. CLINICAL TRIALS REGISTRATION: NCT00608764 .

Concussion symptomology and recovery in children and adolescents with pre-existing anxiety.

OBJECTIVE: To examine pre-existing anxiety disorders as a risk factor for increased concussion symptomology and prolonged recovery in children and adolescents. METHODS: In this retrospective cohort study, we abstracted medical record data for 637 children/adolescents (5-17 years) presenting to three tertiary concussion clinics between April 2018 and March 2019. Primary outcomes were mean concussion symptom and vision symptom severity scores measured at clinic visits. Linear mixed-effects regression models were employed to investigate differences in average symptom load, vision symptom score and symptom recovery trajectories across anxiety strata, adjusted for random effects (time), age and sex. Secondary outcomes, time to concussion symptom recovery and time to return to academics and sports, respectively, were examined via log-rank tests and multivariable Cox regression. RESULTS: Among 637 eligible concussion patients, 155 (24%) reported pre-existing anxiety. On average, patients with anxiety reported an additional 2.64 (95% CI 1.84 to 3.44) concussion symptoms and 7.45 (95% CI 5.22 to 9.68) higher vision symptom severity scores throughout recovery versus those without, after adjusting for age and sex. There was no evidence that concussion or vision symptom trajectories varied over time between those with/without anxiety after accounting for baseline dissimilarities in symptom scores (all pinteraction >0.05). Anxiety was significantly associated with delayed symptom recovery (adjusted HR 3.34, 95% CI 2.18 to 5.12), return to school (adjusted HR 2.01, 95% CI 1.59 to 2.53) and return to physical activity (adjusted HR 1.88, 95% CI 1.49 to 2.37). CONCLUSIONS: Pre-existing anxiety disorders were associated with more severe symptomology and prolonged recovery after concussion in children and adolescents. These results can be referenced by providers to manage patients' recovery expectations.

Data-adaptive additive modeling.

In this paper, we consider fitting a flexible and interpretable additive regression model in a data-rich setting. We wish to avoid pre-specifying the functional form of the conditional association between each covariate and the response, while still retaining interpretability of the fitted functions. A number of recent proposals in the literature for nonparametric additive modeling are data adaptive, in the sense that they can adjust the level of flexibility in the functional fits to the data at hand. For instance, the sparse additive model makes it possible to adaptively determine which features should be included in the fitted model, the sparse partially linear additive model allows each feature in the fitted model to take either a linear or a nonlinear functional form, and the recent fused lasso additive model and additive trend filtering proposals allow the knots in each nonlinear function fit to be selected from the data. In this paper, we combine the strengths of each of these recent proposals into a single proposal that uses the data to determine which features to include in the model, whether to model each feature linearly or nonlinearly, and what form to use for the nonlinear functions. We establish connections between our approach and recent proposals from the literature, and we demonstrate its strengths in a simulation study.

Factors Associated With the Mental Health and Satisfaction of Oral and Maxillofacial Surgery Residents in the United States: A Cross-Sectional Study and Analysis.

PURPOSE: Residents in training have reported high levels of stress and anxiety and have a greater risk of mental health problems compared with the general population. Mental health problems among residents have been correlated with decreased professional effectiveness, increased medical errors, emotional exhaustion, and depersonalization and could have significant negative effects on future practitioners. The purpose of the present study was to identify the factors that might be associated with the mental health and satisfaction of oral and maxillofacial surgery (OMS) residents and to determine the associations between these factors and OMS resident satisfaction as a surrogate of resident well-being. MATERIALS AND METHODS: We designed and implemented an online survey, which was e-mailed to all OMS residents in the 101 accredited training programs in the United States. The survey was designed to determine and assess the factors associated with OMS resident satisfaction. Differences between groups were tested using 1-way analysis of variance for continuous variables and χ2 tests for categorical variables. For each factor, we fit a logistic regression model to estimate the odds ratio of resident satisfaction for the factor, adjusting for gender, year in residency, and years of advanced training. RESULTS: Of the 1181 resident surveys sent out, 300 were completed (25.4% response rate). The satisfied OMS residents tended to be men, further along in their training program, and to have access to mental health resources. Dissatisfaction was associated with greater self-reported stress levels, working a greater number of hours per week, and believing one would be viewed differently for speaking to faculty about mental health. CONCLUSIONS: OMS resident satisfaction was associated with identifiable and potentially modifiable factors. These factors included workload characteristics, stress and coping ability, and mental health impact and resource availability. Evidence-based strategies for OMS resident well-being could lead to the development of best practice guidelines for promoting and optimizing resident mental health.

Early prediction of outcome after severe traumatic brain injury: a simple and practical model.

BACKGROUND: Traumatic brain injury (TBI) is a heterogeneous syndrome with a broad range of outcome. We developed a simple model for long-term outcome prognostication after severe TBI. METHODS: Secondary data analysis of a large multicenter randomized trial. Patients were grouped according to 6-month extended Glasgow outcome scale (eGOS): poor-outcome (eGOS ≤ 4; severe disability or death) and acceptable outcome (eGOS > 4; no or moderate disability). A prediction decision tree was built using binary recursive partitioning to predict poor or acceptable 6-month outcome. Comparison to two previously published and validated models was made. RESULTS: The decision tree included the predictors of head Abbreviated Injury Scale (AIS) severity, the Marshall computed tomography score, and pupillary reactivity. All patients with a head AIS severity of 5 were predicted to have a poor outcome. In patients with head AIS severity < 5, the model predicted an acceptable outcome for (1) those with Marshall score of 1, and (2) those with Marshall score above 1 but with reactive pupils at admission. The decision tree had a sensitivity of 72.3 % (95 % CI: 66.4-77.6 %) and specificity of 62.5 % (95 % CI: 54.9-69.6 %). The proportion correctly classified for the comparison models was similar to our model. Our model was more apt at correctly classifying those with poor outcome but more likely to misclassify those with acceptable outcome than the comparison models. CONCLUSION: Predicting long-term outcome early after TBI remains challenging and inexact. This model could be useful for research and quality improvement studies to provide an early assessment of injury severity, but is not sufficiently accurate to guide decision-making in the clinical setting.

Incorporating sources of correlation between outcomes: An introduction to mixed models.

Animal research often involves measuring the outcomes of interest multiple times on the same animal, whether over time or for different exposures. These repeated outcomes measured on the same animal are correlated due to animal-specific characteristics. While this repeated measures data can address more complex research questions than single-outcome data, the statistical analysis must take into account the study design resulting in correlated outcomes, which violate the independence assumption of standard statistical methods (e.g. a two-sample t-test, linear regression). When standard statistical methods are incorrectly used to analyze correlated outcome data, the statistical inference (i.e. confidence intervals and p-values) will be incorrect, with some settings leading to null findings too often and others producing statistically significant findings despite no support for this in the data. Instead, researchers can leverage approaches designed specifically for correlated outcomes. In this article, we discuss common study designs that lead to correlated outcome data, motivate the intuition about the impact of improperly analyzing correlated outcomes using methods for independent data, and introduce approaches that properly leverage correlated outcome data.

Delay discounting demonstrates lower impulsivity linked to a higher likelihood of succeeding at smoking cessation.

Sixty-eight percent of smokers want to quit, but only one in 10 are successful at smoking cessation. Recently, impulsivity has been studied in relation to smoking cessation with measures like the delay discounting task (DDT). We aimed to build on the robust literature that has already revealed the association between impulsivity and smoking cessation, as well as look at the differences between sexes for which there is conflicting evidence. We hypothesized that lower impulsivity would be positively associated with cessation success. In the parent cessation trial, participants were randomized to 12 weeks of progesterone or placebo. Participants were asked to quit smoking, and their smoking status was monitored via expired carbon monoxide throughout the study. Participants completed a DDT at screening, week 4, and week 8 using the 27-item Monetary Choice Questionnaire, where participants decided between a small immediate reward or a larger delayed reward (LDR). The effective delay 50 (ED50), which is the delay at which the LDR loses half its value, was analyzed. To estimate the association between ED50 and cessation, a logistic mixed model with a participant random intercept was fit, controlling for study week, randomization, sex, and age. For the 181 participants, a doubling of the ED50 was associated with an 18% increase in the odds of tobacco cessation (95% confidence interval: 0.2-38% increase; p=0.05). In agreement with our hypothesis, lower impulsivity correlated to greater tobacco cessation success. Our study also showed no evidence of sex differences in the association between ED50 and smoking cessation.

Endothelial dysfunction in breast cancer survivors on aromatase inhibitors: changes over time.

BACKGROUND: Breast cancer is estimated to comprise about 290,560 new cases in 2022. Aromatase inhibitors (AIs) are recommended as adjuvant treatment for estrogen-receptor positive (ER+) breast carcinoma in postmenopausal women, which includes approximately two-thirds of all women with breast cancer. AIs inhibit the peripheral conversion of androgens to estrogen by deactivation of the aromatase enzyme, leading to a reduction in serum estrogen level in postmenopausal women with ER+ breast carcinoma. Estrogen is known for its cardiovascular (CV) protective properties through a variety of mechanisms including vasodilation of blood vessels and inhibition of vascular injury resulting in the prevention of atherosclerosis. In clinical trials and prospective cohorts, the long-term use of AIs can increase the risk for hypertension and hyperlipidemia. Studies demonstrate mixed results as to the impact of AIs on actual CV events and overall survival. METHODS: A single arm longitudinal study of 14 postmenopausal women with ER+ breast cancer prescribed adjuvant AIs at the University of Minnesota (UMN). Subjects with a history of known tobacco use, hypertension, hyperlipidemia, and diabetes were excluded to eliminate potential confounding factors. Participants underwent routine labs, blood pressure assessments, and vascular testing at baseline (prior to starting AIs) and at six months. Vascular assessment was performed using the EndoPAT 2000 and HDI/PulseWave CR-2000 Cardiovascular Profiling System and pulse contour analysis on two occasions as previously described. Vascular measurements were conducted by one trained vascular technician. Assessments were performed in triplicate, and the mean indices were used for analyses. All subjects were on an AI at the follow-up visit. The protocol was approved by the UMN Institutional Review Board and all participants were provided written informed consent. Baseline and follow-up characteristics were compared using Wilcoxon signed-rank tests. Analyses were performed using R version 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria). RESULTS: After six months of AI treatment, EndoPAT® ratio declined to a median 1.12 (Q1: 0.85, Q3: 1.86; p = 0.045; Figure 1) and median estradiol levels decreased to 2 pg/mL (Q1: 2, Q3: 3; p=0.052). There was no evidence of association between change in EndoPAT® and change in estradiol level (p = 0.91). There were no statistically significant changes in small or large arterial elasticity. CONCLUSIONS: We hypothesize that long-term use of AI can lead to persistent endothelial dysfunction, and further investigation is necessary. In our study, patients were on AI for approximately 5-10 years. As a result, we do not have data on whether these changes, such as EndoPAT® ratio and the elasticity of small and large arterial, are reversible with discontinuation of AI. These findings set the stage for a larger study to more conclusively determine the association between AI exposure and cardiovascular outcomes. Further studies should evaluate for multivariate associations withmodifiable risk factors for CV disease.

Linking genetic counseling communication skills to patient outcomes and experiences using a community-engagement and provider-engagement approach: research protocol for the GC-PRO mixed methods sequential explanatory study.

INTRODUCTION: In over 50 years since the genetic counseling (GC) profession began, a systematic study of GC communication skills and patient-reported outcomes in actual sessions across multiple clinical specialties has never been conducted. To optimize GC quality and improve efficiency of care, the field must first be able to comprehensively measure GC skills and determine which skills are most critical to achieving positive patient experiences and outcomes. This study aims to characterise GC communication skills using a novel and pragmatic measure and link variations in communication skills to patient-reported outcomes, across clinical specialties and with patients from diverse backgrounds in the USA. Our community-engagement and provider-engagement approach is crucial to develop recommendations for quality, culturally informed GC care, which are greatly needed to improve GC practice. METHODS AND ANALYSIS: A mixed methods, sequential explanatory design will be used to collect and analyze: audio-recorded GC sessions in cancer, cardiac, and prenatal/reproductive genetic indications; pre-visit and post-visit quantitative surveys capturing patient experiences and outcomes and post-visit qualitative interview data. A novel, practical checklist will measure GC communication skills. Coincidence analysis will identify patterns of GC skills that are consistent with high scores on patient-reported measures. Two-level, multilevel models will be used to evaluate how GC communication skills and other session/patient characteristics predict patient-reported outcomes. Four community advisory boards (CABs) and a genetic counselor advisory board will inform the study design and analysis. ETHICS AND DISSEMINATION: This study has been approved by the single Institutional Review Board of the University of Minnesota. This research poses no greater than minimal risk to participants. Results from this study will be shared through national and international conferences and through community-based dissemination as guided by the study's CABs. A lay summary will also be disseminated to all participants.

Chimeric Amphiphilic Disinfectants: Quaternary Ammonium/Quaternary Phosphonium Hybrid Structures.

Cationic biocides play a crucial role in the disinfection of domestic and healthcare surfaces. Due to the rise of bacterial resistance towards common cationic disinfectants like quaternary ammonium compounds (QACs), the development of novel actives is necessary for effective infection prevention and control. Toward this end, a series of 15 chimeric biscationic amphiphilic compounds, bearing both ammonium and phosphonium residues, were prepared to probe the structure and efficacy of mixed cationic ammonium-phosphonium structures. Compounds were obtained in two steps and good yields, with straightforward and chromatography-free purifications. Antibacterial activity evaluation of these compounds against a panel of seven bacterial strains, including two MRSA strains as well as opportunistic pathogen A. baumannii, were encouraging, as low micromolar inhibitory activity was observed for multiple structures. Alkyl chain length on the ammonium group was, as expected, a major determinant of bioactivity. In addition, high therapeutic indexes (up to 125-fold) for triphenyl phosphonium-bearing amphiphiles were observed when comparing antimicrobial activity to mammalian cell lysis activity.

Characterizing cellular membrane partitioning of DMSO using low-temperature Raman spectroscopy.

Additives that help cells survive the stresses of freezing and thawing are known as cryoprotective agents (CPAs). Two different types of CPAs have been identified: penetrating and non-penetrating. Common penetrating CPAs include dimethylsulfoxide (DMSO) and glycerol. The location of a CPA (intracelluar or extracellular) is important for understanding the molecular mechanisms of action for the agent. Low-temperature Raman spectroscopy is a label-free method of detecting the location of CPAs at low temperature with high spatial resolution and chemical specificity. To this end, cells cryopreserved in DMSO using a variety of cooling rates and DMSO concentrations and imaged using Raman spectroscopy were analyzed using automated image analysis to determine the partitioning ratio (concentration of DMSO outside/concentration of DMSO inside the cell). The partitioning ratio was roughly 1 for Jurkat cells frozen at 1°C/min in varying concentrations of DMSO with the exception of 1% DMSO which had a partitioning ratio of 0.2. The partitioning ratio increased from 1 to 1.3 as the cooling rate increased from 1°C to 5°C/min. Different cell types, specifically sensory neurons cells and human induced pluripotent stem cells, exhibited differences in partitioning ratio when frozen in 10% DMSO and 1°C/min suggesting that differences in freezing response may result from differences in solute partitioning. The presence of intracellular ice changed the distribution of DMSO inside the cell and also the partitioning ratio.

Sensitivity and Specificity of MRI versus CBCT to Detect Vertical Root Fractures Using MicroCT as a Reference Standard.

INTRODUCTION: Vertical root fracture (VRF) in root-canal-treated teeth frequently results in tooth loss, partly because VRFs are difficult to diagnose and when detected the fracture is often beyond the point of preservation with surgical intervention. Nonionizing magnetic resonance imaging (MRI) has demonstrated the ability to detect small VRFs, but it is unknown how its diagnostic capabilities compare with the current imaging standard for VRF detection, cone-beam computed tomography (CBCT). This investigation aimed to compare the sensitivity and specificity between MRI and CBCT for detecting VRF, using micro-computed tomography (microCT) as a reference. METHODS: A total of 120 extracted human tooth roots were root canal treated using common techniques, and VRFs were mechanically induced in a proportion. Samples were imaged using MRI, CBCT, and microCT. Axial MRI and CBCT images were examined by 3 board-certified endodontists, who evaluated VRF status (yes/no) and gave a confidence assessment for that decision, from which a receiver operating characteristic curve was generated. Intra- and inter-rater reliability were calculated, sensitivity and specificity, and area under the curve. RESULTS: Intra-rater reliability was 0.29-0.48 for MRI and 0.30-0.44 for CBCT. Inter-rater reliability for MRI was 0.37 and for CBCT 0.49. Sensitivity was 0.66 (95% confidence interval [CI], 0.53-0.78) and 0.58 (95% CI, 0.45-0.70), and specificity 0.72 (95% CI, 0.58-0.83) and 0.87 (95% CI, 0.75-0.95) for MRI and CBCT, respectively. Area under the curve was 0.74 (95% CI, 0.65-0.83) for MRI and 0.75 (95% CI, 0.66-0.84) for CBCT. CONCLUSIONS: There was no significant difference in sensitivity or specificity between MRI and CBCT in detecting VRF, despite the early-stage development of MRI.

Atom Economical QPCs: Phenyl-Free Biscationic Quaternary Phosphonium Compounds as Potent Disinfectants.

Quaternary ammonium compounds (QACs) are vital disinfectants for the neutralization of pathogenic bacteria in clinical, domestic, and commercial settings. After decades of dependence on QACs, the emergence of antimicrobial resistance to this class of compounds threatens the ability of existing QAC products to effectively manage rising bacterial threats. The need for new disinfectants is therefore urgent, with quaternary phosphonium compounds (QPCs) emerging as a new class of promising antimicrobials that boast significant activity against highly resistant bacteria. Reported here is a series of twenty-one novel QPCs that replace phenyl substituents on the phosphorus center with alkyl groups yet allow for rapid synthetic routes in high yields. Within this series are structures containing methyl, ethyl, or cyclohexyl phosphonium substituents on bisphosphane scaffolds bearing ethyl linkers, affording atom economical structures and ones that represent exact analogs to nitrogenous amphiphiles. The resultant bisQPC structures display high antibacterial efficacy enjoyed by comparably constructed QACs, with three structures in the single-digit micromolar activity range despite structural simplification.

Endothelial Dysfunction in Breast Cancer Survivors on Aromatase Inhibitors: Changes over Time.

Background: Aromatase inhibitors (AIs) are recommended as adjuvant treatment for estrogen-receptor positive breast carcinoma in postmenopausal women. Studies demonstrate mixed results as to the impact of AIs on cardiovascular (CV) events and overall survival. With the increasing number of pre- and postmenopausal women on AIs for five to ten years, understanding the long-term impact of AIs on blood vessels and CV risk in cancer survivors is vital. Methods: A single arm longitudinal study of 14 postmenopausal women with ER+ breast cancer prescribed adjuvant AIs at the University of Minnesota. Subjects with a history of tobacco use, hypertension, or hyperlipidemia were excluded. Participants underwent routine labs, blood pressure assessments, and vascular testing at baseline (prior to starting AIs) and at six months. Vascular assessment was performed using the EndoPAT 2000 and HDI/PulseWave CR-2000 Cardiovascular Pro ling System and pulse contour analysis on two occasions as previously described. Vascular measurements were conducted by one trained vascular technician. Assessments were performed in triplicate, and the mean indices were used for analyses. All subjects were on an AI at the follow-up visit. The protocol was approved by the UMN Institutional Review Board and all participants were provided written informed consent. Baseline and follow-up characteristics were compared using Wilcoxon signed-rank tests. Analyses were performed using R version 3.6.1 (R Foundation for Statistical Computing, Vienna, Austria). Results: After six months of AI treatment, EndoPAT® ratio declined to a median 1.12 (Q1: 0.85, Q3: 1.86; p=0.045) and median estradiol levels decreased to 2 pg/mL (Q1: 2, Q3: 3; p=0.052). There was no evidence of association between change in EndoPAT® and change in estradiol level (p=0.91). There were no statistically significant changes in small or large arterial elasticity. Conclusion: Endovascular dysfunction is an early sign for atherosclerosis and vascular impairment. This study suggests that postmenopausal breast cancer survivors on aromatase inhibitor therapy develop endothelial dysfunction as early as six months which is a predictor of adverse CV disease. We hypothesize that long-term use of AIs can lead to persistent endothelial dysfunction. It is unclear if these changes are reversible once AI use is discontinued and further investigation is necessary.

Prediction Model for Croup Admission Need.

OBJECTIVES: This study aims to generate a predictive model stratifying the probability of requiring hospitalization and inpatient respiratory intervention for croup patients presenting to the emergency department (ED), and secondarily to compare the model's performance with that of ED providers. METHODS: Retrospective data was collected on croup patients presenting to the EDs of 2 pediatric and 1 community hospital from 2019 to 2020, including demographics, preexisting conditions, and history of croup. The ED length of stay, previous dexamethasone administration, time to ED dexamethasone, number of ED racemic epinephrine doses, viral testing, and ED revisits were also recorded. Westley croup scores were derived at ED presentation and final disposition. For admitted patients, any respiratory interventions were recorded. Admission need was defined as either admitted and required an inpatient intervention or not admitted with ED revisit. A prediction model for admission need was fit using L1-penalized logistic regression. RESULTS: We included 2951 patients in the study, 68 (2.3%) of which needed admission. The model's predictors were disposition Westley croup scores, number of ED racemic epinephrine doses, previous dexamethasone administration, and history of intubation. The model's sensitivity was 66%, specificity was 91%, positive predictive value was 15%, and negative predictive value was 99%. ED providers' performance had a sensitivity of 72%, a specificity of 94%, a positive predictive value of 23%, and a negative predictive value of 99%. CONCLUSIONS: The croup admission need predictive model appears to support clinical decision making in the ED, with the potential to improve decision making when pediatric expertise is limited.