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Abstract Purpose Imposter syndrome (IS) is a “behavioral health phenomenon described as self-doubt of intellect, skills, or accomplishments among high-achieving individuals” that has been associated with psychological distress, burnout, anxiety, and depression, and has also been shown to negatively impact career retention and job performance. Previous studies, while rare, have demonstrated remarkably high rates of IS amongst surgical trainees, but include little information on contributing factors. The purpose of this study was to broadly explore IS in surgical trainees across specialties.Methods An anonymous electronic survey aimed at identifying the prevalence, severity, and underlying factors contributing to IS in surgical trainees was developed by members of the ASE Graduate Surgical Education Committee and distributed to list servs of surgical residents across specialties at twelve institutions. Descriptive statistics, univariate analysis, and multivariable analysis were performed to identify differences in and factors contributing to IS.Results A total of 155 survey responses were received. Seventy-one percent of respondents report significant or intense IS, with women demonstrating more severe IS. Residents identified interactions with peers or other residents as triggering more feelings of IS compared to faculty or patients. Prior IS training, feeling a sense of belonging in residency, and lower incidence of microaggressions were associated with less severe IS.Conclusions IS remains prevalent and severe amongst surgical trainees. Although previous work has identified many personal factors that contribute to IS, this study is one of the first of its kind to identify environmental and experiential (context-dependent) factors associated with more severe IS.

Article Title: Early Diagnostic Paracentesis Improves Outcomes of Hospitalized Patients With Cirrhosis and Ascites: A Systematic Review and Meta-Analysis

SUMMARYDelirium frequently occurs among hospital in-patients, with significant attributable healthcare costs. It is associated with long-term adverse outcomes, including an eightfold increased risk of subsequent dementia. The purpose of this article is to inform clinicians of the best practices for spotting, stopping and treating delirium and provide guidance on common challenging clinical dilemmas. For spotting delirium, suggested screening tools are the 4 ‘A's Test (in general medical settings) and the Confusion Assessment Method for the Intensive Care Unit (CAM-ICU). Prevention is best achieved with multicomponent interventions and targeted strategies focusing on: (a) avoiding iatrogenic causes; (b) brain optimisation by ensuring smooth bodily functioning; (c) maintaining social interactions and normality. Non-pharmacological approaches are the first line for treatment; they largely mirror prevention strategies, but the focus of empirical evidence is on prevention. Although sufficient evidence is lacking for most pharmacological approaches, an antipsychotic at low doses for short durations may be of utility for highly distressing or high-risk situations, particularly in hyperactive delirium, but only as a last resort.

Background A subset of individuals with major depressive disorder (MDD) have a high burden of cardiovascular risk factors and cerebral small‐vessel disease, implicating vascular disease in the development of depression. Cross‐sectional studies demonstrate a link between endothelial dysfunction and MDD, but the prospective association between peripheral endothelial dysfunction (PED) and an incident diagnosis of MDD is unknown. Methods and Results Patients undergoing a baseline assessment of cardiovascular risk were evaluated for PED using reactive hyperemia–peripheral arterial tonometry (≤1.8 consistent with PED). Patient medical records were reviewed to identify those who underwent a formal clinical evaluation of MDD after the index PED evaluation. The frequency of PED was compared in those with and without MDD. Logistic regression analyses were performed to assess the association between baseline PED and incident MDD. Between January 2006 and December 2020, 1614 patients underwent testing for PED. Four hundred eighty‐four (30.1%) patients underwent a formal evaluation for MDD after (0–15 years) the index procedure (mean±SD age, 52.8±13.8 years; 65.2% women). Of these, 157 (32.4%) had PED and 108 (31.0%) were diagnosed with MDD. Individuals with MDD had a higher frequency of PED (40.2% versus 30.2%; P =0.034) compared with those without MDD. In multivariable analyses, PED was significantly associated with MDD (odds ratio, 2.3 [95% CI, 1.4–3.8]; P <0.001). Conclusions PED is significantly associated with incident MDD. Thus, PED may be a useful marker to identify individuals at increased risk of depression who may benefit from more frequent and earlier management strategies.

Background Early detection of left and right ventricular systolic dysfunction (LVSD and RVSD respectively) in children can lead to intervention to reduce morbidity and death. Existing artificial intelligence algorithms can identify LVSD and RVSD in adults using a 12‐lead ECG; however, its efficacy in children is uncertain. We aimed to develop novel artificial intelligence–enabled ECG algorithms for LVSD and RVSD detection in pediatric patients. Methods and Results We identified 10 142 unique pediatric patients (age≤18) with a 10‐second, 12‐lead surface ECG within 14 days of a transthoracic echocardiogram, performed between 2002 and 2022. LVSD was defined quantitatively by left ventricular ejection fraction (LVEF). RVSD was defined semiquantitatively. Novel pediatric models for LVEF ≤35% and LVEF <50% achieved excellent test areas under the curve of 0.93 (95% CI, 0.89–0.98) and 0.88 (95% CI, 0.83–0.94) respectively. The model to detect LVEF <50% had a sensitivity of 0.85, specificity of 0.80, positive predictive value of 0.095, and negative predictive value of 0.995. In comparison, the previously validated adult data‐derived model for LVEF <35% achieved an area under the curve of 0.87 (95% CI, 0.84–0.90) for LVEF ≤35% in children. A novel pediatric model for any RVSD detection reached a test area under the curve of 0.90 (0.87–0.94). Conclusions An artificial intelligence–enabled ECG demonstrates accurate detection of both LVSD and RVSD in pediatric patients. While adult‐trained models offer good performance, improvements are seen when training pediatric‐specific models.

Background Older adults with non–ST‐segment–elevation acute coronary syndrome are less likely to undergo an invasive strategy compared with younger patients. Randomized controlled trials traditionally exclude older adults because of their high burden of geriatric conditions. Methods and Results We searched for randomized controlled trials comparing invasive versus medical management or a selective invasive (conservative) strategy for older patients (age≥75 years) with non–ST‐segment–elevation acute coronary syndrome. Fixed effects meta‐analysis was conducted to estimate the odds ratio (OR) with 95% CI for the composite of death or myocardial infarction (MI) and individual secondary end points of all‐cause death, cardiovascular death, MI, revascularization, stroke, and major bleeding. Nine studies with 2429 patients (invasive: 1228 versus control: 1201) with a mean follow‐up of 21 months were included. An invasive strategy was associated with a significantly decreased risk of a composite of death and MI (OR, 0.67 [95% CI, 0.54–0.83], P <0.001), MI (OR, 0.56 [95% CI, 0.45–0.70], P <0.001) and subsequent revascularization (OR, 0.27 [95% CI, 0.16–0.48], P <0.001). There was no difference in all‐cause death (OR, 0.84 [95% CI, 0.65–1.10], P =0.21), cardiovascular death (OR, 0.85 [95% CI, 0.63–1.15], P =0.30), stroke (OR, 0.74 [95% CI, 0.38–1.47], P =0.39), or major bleeding (OR, 1.24 [95% CI, 0.42–3.66], P =0.70). Conclusions In older patients ≥75 years old with non–ST‐segment–elevation acute coronary syndrome, an invasive strategy reduced the risk of a composite of death and MI, MI, and subsequent revascularization compared with a conservative strategy alone. Older adults with higher burden of geriatric conditions should be included in future trials to improve generalizability to this growing population.