Citations

The aim was to determine whether on-call case volumes differ amongst colorectal surgeons, and what cases are performed on-call in an academic colorectal surgery practice. The on-call schedule for the year 2021 of a colorectal surgery practice was analyzed. Details of the case origin and operative details were collected. Average cases performed per call per surgeon were compared. Ten surgeons were included, and average cases per call ranged from .5 to 1.4 with 1.0 the overall average ( P = .007). Analyzing individual pairs, differences existed between the 2 busiest and the least busy on-call surgeon (both P < .05). Most patients operated on-call were admitted via the emergency department (59%), and the most common operations were exams under anesthesia (39%) and bowel resections (33%). On average, 1 on-call case was performed per day. Surgeon on-call volume was similar aside from the busiest and least busy on-call surgeons.

BACKGROUND: This study aimed to develop and validate a computed tomography angiography based machine learning model that uses plaque composition data and degree of carotid stenosis to detect symptomatic carotid plaques in patients with carotid atherosclerosis. METHODS: The machine learning based model was trained using degree of stenosis and the volumes of 13 computed tomography angiography derived intracarotid plaque subcomponents (eg, lipid, intraplaque hemorrhage, calcium) to identify plaques associated with cerebrovascular events. The model was internally validated through repeated 10-fold cross-validation and tested on a dedicated testing cohort according to discrimination and calibration. RESULTS: This retrospective, single-center study evaluated computed tomography angiography scans of 268 patients with both symptomatic and asymptomatic carotid atherosclerosis (163 for the derivation set and 106 for the testing set) performed between March 2013 and October 2019. The area-under-receiver-operating characteristics curve by machine learning on the testing cohort (0.89) was significantly higher than the areas under the curve of traditional logit analysis based on the degree of stenosis (0.51, P <0.001), presence of intraplaque hemorrhage (0.69, P <0.001), and plaque composition (0.78, P <0.001), respectively. Comparable performance was obtained on internal validation. The identified plaque components and associated cutoff values that were significantly associated with a higher likelihood of symptomatic status after adjustment were the ratio of intraplaque hemorrhage to lipid volume (≥50%, 38.5 [10.1–205.1]; odds ratio, 95% CI) and percentage of intraplaque hemorrhage volume (≥10%, 18.5 [5.7–69.4]; odds ratio, 95% CI). CONCLUSIONS: This study presented an interpretable machine learning model that accurately identifies symptomatic carotid plaques using computed tomography angiography derived plaque composition features, aiding clinical decision-making.

Alcohol-associated liver disease (ALD) is a major cause of morbidity and mortality worldwide, and a leading indication for liver transplantation (LT) in many countries, including the United States. However, LT for ALD is a complex and evolving field with ethical, social, and medical challenges. Thus, it requires a multidisciplinary approach and individualized decision-making. Short-term and long-term patient and graft survival of patients undergoing LT for ALD are comparable to other indications, but there is a continued need to develop better tools to identify patients who may benefit from LT, improve the pretransplant and posttransplant management of ALD, and evaluate the impact of LT for ALD on the organ donation and transplantation systems. In this review, we summarize the current evidence on LT for ALD, from alcohol-associated hepatitis to decompensated alcohol-associated cirrhosis. We discuss the indications, criteria, outcomes, and controversies of LT for these conditions and highlight the knowledge gaps and research priorities in this field.

Background: In this systematic review, we assessed the therapeutic efficacy and safety of Clostridium histolyticum collagenase (CCH) and tissue subcision (TS) for treating cellulite, which ranges from subtle to pronounced lesions. Methods: A systematic review was performed following PRISMA guidelines for CCH and TS treatment to the thigh and gluteal regions. A proportion meta-analysis was then conducted using Stata statistical software. Results: A total of 14 studies were incorporated into the final analysis. Nine focused on TS and five on CCH injection, collectively reporting outcomes for 1254 patients. Of these, 465 received CCH injection and 789 underwent subcision. For bruising, rates were 89% [95% confidence interval (CI), 71%–96%] with CCH injection and 99% (95% CI, 85%–99%) for subcision; pain requiring analgesic was reported at 74% (95% CI, 55%–87%) for CCH and 60% (95% CI, 43%–76%) for subcision; both showed induration at 7% (95% CI, 5%–11% for CCH, 95% CI, 2%–25% for subcision), whereas skin discoloration was higher post-CCH injection at 16% (95% CI, 10%–26%) compared with 7% (95% CI, 5%–10%) postsubcision. Conclusions: Both CCH and TS seem effective treatments for cellulite. However, upon evaluating the adverse outcomes between the two modalities, subcision demonstrated a higher incidence of bruising, albeit similar rates of induration compared with CCH injection. Conversely, the CCH injection group manifested a higher propensity for pain requiring analgesia and notably exhibited increased instances of skin discoloration compared with their subcision patient group. Further standardized research is crucial for more informed cellulite treatment decisions and for comparing efficacy, safety, and cost-effectiveness between TS and CCH.

Background: Outcomes of device-detected AF remain unclear in individuals without a prior history of AF. Methods: A meta-analysis was conducted to evaluate outcomes in individuals with no prior history of AF who experienced device-detected AF. Outcomes assessed were clinical AF, thromboembolism and all-cause mortality. A fixed-effects model was used to calculate RRs with 95% CI. Results: Compared to individuals who did not experience device-detected AF, those who did had increased risks of clinical AF (RR 3.33, 95% CI [1.99–5.57]; p<0.0001) and thromboembolic events (RR 2.21; 95% CI [1.72–2.85]; p<0.0001). The risk of all-cause mortality was similar between both groups (RR 1.19; 95% CI [0.95–1.49]; p=0.13). Subgroup analysis revealed an increased risk of thromboembolic events among device-detected AF ≥24 hours (RR 12.34; 95% CI [2.70–56.36]). Conclusion: While there is an increased risk of clinical AF and thromboembolism in individuals with device-detected AF, mortality was insignificant.

AbstractIn academia, particularly in science, technology, engineering, and mathematics (STEM), writing accountability groups have emerged as an effective technique to enhance writing productivity by offering structure, increasing the commitment to write, and fostering social commitment. The rapid development of technology has introduced a new challenge across STEM fields: technostress, where individuals face heightened stress due to novel applications of technology. To address this, we introduce Technology Accountability Groups (TAGs), a novel form of community support for graduate students and faculty. TAGs are tailored to help individuals navigate technological innovations, alleviate technostress, acquire new skills, motivate, and connect with leaders in the field. This paper presents a framework for establishing, implementing, and sustaining TAGs in STEM.

Abstract Fibrolamellar hepatocellular carcinoma (FLC) is a rare liver cancer that is driven by the fusion of DNAJB1 and PRKACA, the catalytic subunit of protein kinase A (PKA). PKA activity is controlled through regulatory proteins that both inhibit catalytic activity and control localization, and an excess of regulatory subunits ensures PRKACA activity is inhibited. Here, we found an increase in the ratio of catalytic to regulatory units in FLC patient tumors driven by DNAJB1::PRKACA using mass spectrometry, biochemistry, and immunofluorescence, with increased nuclear localization of the kinase. Overexpression of DNAJB1::PRKACA, ATP1B1::PRKACA, or PRKACA, but not catalytically inactive kinase, caused similar transcriptomic changes in primary human hepatocytes, recapitulating the changes observed in FLC. Consistently, tumors in patients missing a regulatory subunit or harboring an ATP1B1::PRKACA fusion were indistinguishable from FLC based on the histopathological, transcriptomic, and drug–response profiles. Together, these findings indicate that the DNAJB1 domain of DNAJB1::PRKACA is not required for FLC. Instead, changes in PKA activity and localization determine the FLC phenotype. Significance: Alterations leading to unconstrained protein kinase A signaling, regardless of the presence or absence of PRKACA fusions, drive the phenotypes of fibrolamellar hepatocellular carcinoma, reshaping understanding of the pathogenesis of this rare liver cancer.

Abstract The new derivatives of bis(2‐methyl‐1 H ‐indol‐3‐yl)methane are synthesized by employing decanoic acid to boost aldehyde reactivity via electrophilic activation. The reactions entail combining 2‐methyl‐1 H ‐indole with various aromatic, aliphatic, and heterocyclic aldehydes at room temperature for 24 h. The newly synthesized compound 4‐(bis(2‐methyl‐ 1H ‐indol‐3‐yl)methyl)‐3‐bromophenol f) has been characterized through 2D structure elucidation. Chemo selectivity and mono selectivity have been explored.

AbstractBackgroundThe impact of atrial fibrillation (AF) among patients with amyloidosis on in‐hospital outcomes is not well‐established. We aimed to examine in‐hospital outcomes among patients admitted with a primary diagnosis of AF with and without amyloidosis.Methods and ResultsWe queried the Nationwide Readmissions Database to compare the in‐hospital outcomes among AF patients with and without amyloidosis. Our study demonstrated that in‐hospital all‐cause mortality, adverse events, and 30‐day readmission were comparable between the two groups.ConclusionsPatients with AF and concurrent amyloidosis did not have worse in‐hospital outcomes than those with AF alone.