Background: Race and socioeconomic status incompletely identify patients with colorectal cancer (CRC) at the highest risk for screening, treatment, and mortality disparities. Social vulnerability index (SVI) was designed to delineate neighborhoods requiring greater support after external health stressors, summarizing socioeconomic, household, and transportation barriers by census tract. SVI is implicated in lower cancer center use and increased complications after colectomy, but its influence on long-term prognosis is unknown.
View Article and Find Full Text PDFAnn Surg Open
December 2023
Objective: This study aims to introduce key concepts and methods that inform the design of studies that seek to quantify the causal effect of social determinants of health (SDOH) on access to and outcomes following organ transplant.
Background: The causal pathways between SDOH and transplant outcomes are poorly understood. This is partially due to the unstandardized and incomplete capture of the complex interactions between patients, their neighborhood environments, the tertiary care system, and structural factors that impact access and outcomes.
Background: Transparency around surgeon level data may align healthcare delivery with quality care for patients. Biliary surgery includes numerous procedures performed by both general surgeons and subspecialists alike. Cholecystectomy is a common surgical procedure and an optimal cohort to measure quality outcomes within a healthcare system.
View Article and Find Full Text PDFObjective: To implement a machine learning model using only the restricted data available at case creation time to predict surgical case length for multiple services at different locations.
Background: The operating room is one of the most expensive resources in a health system, estimated to cost $22 to $133 per minute and generate about 40% of hospital revenue. Accurate prediction of surgical case length is necessary for efficient scheduling and cost-effective utilization of the operating room and other resources.
The scheduling of operating room (OR) slots requires the accurate prediction of surgery duration. We evaluated the performance of existing Moving Average (MA) based estimates with novel machine learning (ML)-based models of surgery durations across two sites in the US and Singapore. We used the Duke Protected Analytics Computing Environment (PACE) to facilitate data-sharing and big data analytics across the US and Singapore.
View Article and Find Full Text PDFImportance: Hospitals ceased most elective procedures during the height of coronavirus disease 2019 (COVID-19) infections. As hospitals begin to recommence elective procedures, it is necessary to have a means to assess how resource intensive a given case may be.
Objective: To evaluate the development and performance of a clinical decision support tool to inform resource utilization for elective procedures.
Background: In 2017, our hospital was identified as a high outlier for postoperative Clostridium difficile infections (CDIs) in the American College of Surgeons NSQIP semi-annual report. The Department of Surgery initiated a CDI task force with representation from Surgery, Infectious Disease, Pharmacy, and Performance Services to analyze available data, identify opportunities for improvement, and implement strategies to reduce CDIs.
Study Design: Strategies to reduce CDIs were reviewed from the literature and the following multidisciplinary strategies were initiated: antimicrobial stewardship optimization of perioperative order sets to avoid cefoxitin and fluoroquinolone use was completed; penicillin allergy assessment and skin testing were implemented concomitantly; increased use of ultraviolet disinfectant strategies for terminal cleaning of CDI patient rooms; increased hand hygiene and personal protection equipment signage, as well as monitoring in high-risk CDI areas; improved diagnostic stewardship by an electronic best practice advisory to reduce inappropriate CDI testing; education through surgical grand rounds; and routine data feedback via NSQIP and National Healthcare Safety Network CDI reports.
PLoS One
August 2017
Several different human vaccines are available to protect against anthrax. We compared the human adaptive immune responses generated by three different anthrax vaccines or by previous exposure to cutaneous anthrax. Adaptive immunity was measured by ELISPOT to count cells that produce interferon (IFN)-γ in response to restimulation ex vivo with the anthrax toxin components PA, LF and EF and by measuring circulating IgG specific to these antigens.
View Article and Find Full Text PDFYersinia pestis is the causative agent responsible for bubonic and pneumonic plague. The bacterium uses the pLcr plasmid-encoded type III secretion system to deliver virulence factors into host cells. Delivery requires ATP hydrolysis by the YscN ATPase encoded by the yscN gene also on pLcr.
View Article and Find Full Text PDFProtective antigen (PA) from Bacillus anthracis binds to cellular receptors, combines with lethal factor (LF) forming lethal toxin (LeTx), and facilitates the translocation of LF into the cytosol. LeTx is cytotoxic for J774A.1 cells, a murine macrophage cell line, and causes death of Fisher 344 rats when injected intravenously.
View Article and Find Full Text PDFBackground: Postexposure prophylaxis of inhalational anthrax requires prolonged antibiotic therapy or antibiotics and vaccination. The duration of treatment for established anthrax is controversial, because retained spores may germinate and cause disease after antibiotics are discontinued. Using rhesus macaques, we determined whether a short course of antibiotic treatment, as opposed to prophylaxis, could effectively treat inhalational anthrax and prevent disease caused by the germination of spores after discontinuation of antibiotics.
View Article and Find Full Text PDFProtective antigen is essential for the pathology of Bacillus anthracis and is the proposed immunogen for an improved human anthrax vaccine. Known since discovery to comprise differentially charged isoforms, the cause of heterogeneity has eluded specific structural definition until now. Recombinant protective antigen (rPA) contains similar isoforms that appear early in fermentation and are mostly removed through purification.
View Article and Find Full Text PDFAnxiety disorders in humans have been associated with chronic activation of the hypothalamic-pituitary-adrenal axis and changes in the volume of the amygdala. Interest in the etiology of anxiety disorders has led us and others to investigate the effects of prenatal stress on the brain development of adult male rat offspring. Prenatally stressed rats represent a promising animal model for anxiety disorders in that they have already been characterized as having both upregulated corticotropin-releasing factor (CRF) brain biochemistry and altered, more fearful, behaviors.
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