Citations

Introduction: Healthcare workers, particularly those in the emergency department (ED), experience high rates of injuries caused by workplace violence (WPV). Objective: Our goal was to establish the incidence of WPV among multidisciplinary ED staff within a regional health system and assess its impact on staff victims. Methods: We conducted a survey study of all multidisciplinary ED staff at 18 Midwestern EDs encompassing a larger health system between November 18–December 31, 2020. We solicited the incidence of verbal abuse and physical assault experienced and witnessed by respondents over the prior six months, as well as its impact on staff. Results: We included responses from 814 staff (24.5% response rate) for final analysis with 585 (71.9%) indicating some form of violence experienced in the preceding six months. A total of 582 (71.5%) respondents indicated experiencing verbal abuse, and 251 (30.8%) indicated experiencing some form of physical assault. All disciplines experienced some type of verbal abuse and nearly all experienced some type of physical assault. One hundred thirty-five (21.9%) respondents indicated that being the victim of WPV has affected their ability to perform their job, and nearly half (47.6%) indicated it has changed the way they interact with or perceive patients. Additionally, 132 (21.3%) indicated experiencing symptoms of post-traumatic stress, and 18.5% reported they have considered leaving their position due to an incident. Conclusion: Emergency department staff suffer violence at a high rate, and there is no discipline that is spared. As health systems seek to prioritize staff safety in violence-prone areas such as the ED, it is imperative to recognize that the entire multidisciplinary team is impacted and requires targeted efforts for improvement in safety.

Background Immediate implant-based breast reconstruction (IIBR) is the most commonly used method in breast reconstruction in the United States. However, postoperative surgical site infections (SSIs) can cause devastating reconstructive failure. This study evaluates the use of perioperative versus extended courses of antibiotic prophylaxis after IIBR for the prevention of SSI. Methods This is a single-institution retrospective study of patients who underwent IIBR between June 2018 and April 2020. Detailed demographic and clinical information was collected. Patients were divided into subgroups based on antibiotic prophylaxis regimen: group 1 consisted of patients who received 24 hours of perioperative antibiotics and group 2 consisted of patients who received ≥7 days of antibiotics. Statistical analyses were conducted using SPSSv26.0 with P ≤ 0.05 considered statistically significant. Results A total of 169 patients (285 breasts) who underwent IIBR were included. The mean age was 52.4 ± 10.2 years, and the mean body mass index (BMI) was 26.8 ± 5.7 kg/m2. Twenty-five percent of patients (25.6%) underwent nipple-sparing mastectomy, 69.1% skin-sparing mastectomy, and 5.3% total mastectomy. The implant was placed in the prepectoral, subpectoral, and dual planes in 16.7%, 19.2%, and 64.1% cases, respectively. Acellular dermal matrix was used in 78.7% of cases. A total of 42.0% of patients received 24-hour prophylaxis (group 1), and 58.0% of patients received extended prophylaxis (group 2). Twenty-five infections (14.8%) were identified, of which 9 (5.3%) resulted in reconstructive failure. In bivariate analyses, no significant difference was found between groups in rates of infection (P = 0.273), reconstructive failure (P = 0.653), and seroma (P = 0.125). There was a difference in hematoma rates between groups (P = 0.046). Interestingly, in patients who received only perioperative antibiotics, infection rates were significantly higher in those with BMI ≥ 25 (25.6% vs 7.1%, P = 0.050). There was no difference in overweight patients who received extended antibiotics (16.4% vs 7.0%, P = 0.160). Conclusions Our data demonstrate no statistical difference in infection rates between perioperative and extended antibiotics. This suggests that the efficacies of current prophylaxis regimens are largely similar, with choice of regimen based on surgeon preference and patient-specific considerations. Infection rates in patients who received perioperative prophylaxis and were overweight were significantly higher, suggesting that BMI should be taken into consideration when choosing a prophylaxis regimen.

AbstractBackgroundHospital medicine (HM) has a well‐described gender disparity related to academic work and promotion. During the COVID‐19 pandemic, female authorship across medicine fell further behind historical averages.ObjectiveExamine how COVID‐19 affected the publication gender gap for hospitalists.Design, Settings, and ParticipantsBibliometric analysis to determine gender and specialty of US‐based physician first and last authors of COVID‐19 articles published March 1, 2020 to February 28, 2021 in the four highest impact general medical journals and two highest impact HM‐specific journals.Main Outcome and MeasuresWe characterized the percentage of all physician authors that were women, the percentage of physician authors that were hospitalists, and the percentage of HM authors that were women. We compared author gender between general medical and HM‐specific journals.ResultsDuring the study period, 853 manuscripts with US‐based first or last authors were published in eligible journals. Included manuscripts contained 1124 US‐based physician first or last author credits, of which 34.2% (384) were women and 8.8% (99) were hospitalists. Among hospitalist author credits, 43.4% (n = 43/99) were occupied by women. The relative gender equity for hospitalist authors was driven by the two HM journals where, compared to the four general medical journals, hospitalist authors (54.1% [33/61] vs. 26.3% [10/38] women, respectively, p = .002) and hospitalist last authors (51.9% [14/27] vs. 20% [4/20], p = .03) were more likely to be women.ConclusionsAcross COVID‐19‐related manuscripts, disparities by gender were driven by the high‐impact general medical journals. HM‐specific journals had more equitable inclusion of women authors, demonstrating the potential impact of proactive editorial policies on diversity.

Abstract Neuropathological assessment at autopsy is the gold standard for diagnosing neurodegenerative disorders. We aimed to develop a pipeline for diagnosing Alzheimer's disease and other tauopathies, including corticobasal degeneration, globular glial tauopathy, Pick’s disease, and progressive supranuclear palsy. We used deep learning (DL)-based approach called clustering-constrained-attention multiple instance learning (CLAM) on whole slide images (WSIs) of tau immunohistochemistry in three brain regions from 120 patients. We also augmented gradient-weighted class activation mapping (Grad-CAM) to the model for visualizing cellular-level evidence in the model’s decisions. The model using the sections of cingulate and superior frontal gyri achieved the highest area under the curve (0.970±0.037) and diagnostic accuracy (0.873±0.087). Grad-CAM showed the highest attention in known pathognomonic tau lesions for each disease (e.g., Pick bodies for Pick’s disease). Our findings supported the feasibility of the DL-based approach for the classification task on WSIs, which encouraged further investigation, especially focusing on clinicopathological correlation studies.

Abstract Neuropathological assessment at autopsy is the gold standard for diagnosing neurodegenerative disorders. We aimed to develop a pipeline for diagnosing Alzheimer's disease and other tauopathies, including corticobasal degeneration, globular glial tauopathy, Pick’s disease, and progressive supranuclear palsy. We used deep learning (DL)-based approach called clustering-constrained-attention multiple instance learning (CLAM) on whole slide images (WSIs) of tau immunohistochemistry in three brain regions from 120 patients. We also augmented gradient-weighted class activation mapping (Grad-CAM) to the model for visualizing cellular-level evidence in the model’s decisions. The model using the sections of cingulate and superior frontal gyri achieved the highest area under the curve (0.970±0.037) and diagnostic accuracy (0.873±0.087). Grad-CAM showed the highest attention in known pathognomonic tau lesions for each disease (e.g., Pick bodies for Pick’s disease). Our findings supported the feasibility of the DL-based approach for the classification task on WSIs, which encouraged further investigation, especially focusing on clinicopathological correlation studies.