We sought to examine health-care-associated infections (HAIs) among patients undergoing an appendectomy at academic medical centers (AMCs) and non-AMCs during the coronavirus disease 2019 (COVID-19) peri-pandemic. We hypothesized that AMCs would have higher rates of post-operative HAIs during the first wave of the pandemic. We performed a post hoc analysis of a prospective, observational, multi-center study of patients aged >18 years who underwent an appendectomy for acute appendicitis before (pre-CoV), during (CoV), and after pandemic restrictions were lifted (post-CoV). Patients were grouped according to hospital type (AMC vs. non-AMC). Our primary outcome was the incidence of post-operative HAIs. There were 1,003 patients; 69.5% (n = 697) were treated at AMCs and 30.5% (n = 306) at non-AMCs. Patients at AMCs had greater rates of concomitant COVID-19 infections (5.5% vs. 0.7%; p < 0.0001) and worse operative appendicitis severity (p = 0.01). Greater rates of HAIs were seen at AMCs compared with non-AMCs (4.9% vs. 2%; p = 0.03). Surgical site infections were the most common HAI and occurred more often at AMCs (4.3% vs. 1.6%; p = 0.04). Only during CoV were there more HAIs at AMCs (5.1% vs. 0.3%; p = 0.02). Undergoing surgery at an AMC during CoV was a risk factor for HAIs (adjusted odds ratio [aOR], 8.55; 95% confidence interval [CI], 1.03-71.03; p = 0.04). During the COVID-19 pandemic, appendectomies performed at AMCs were an independent risk factor for post-operative HAIs. Our findings stress the importance of adherence to standard infection prevention efforts during future healthcare crises.
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http://dx.doi.org/10.1089/sur.2022.148 | DOI Listing |
Sci Rep
December 2024
Department of Dermatology, Niazi Hospital, Lahore, Pakistan.
With breakthroughs in Natural Language Processing and Artificial Intelligence (AI), the usage of Large Language Models (LLMs) in academic research has increased tremendously. Models such as Generative Pre-trained Transformer (GPT) are used by researchers in literature review, abstract screening, and manuscript drafting. However, these models also present the attendant challenge of providing ethically questionable scientific information.
View Article and Find Full Text PDFAdv Sci (Weinh)
December 2024
Department of Critical Care Medicine and Emergency, Shanghai Chest Hospital, Shanghai Jiao Tong University, Shanghai, 200030, P. R. China.
The sepsis-induced acute lung injury (ALI) still represents one of the leading causes of death in critically ill patients, underscoring the need for novel therapies. Excessive activation of immune cells and damage of reactive oxygen species (ROS) are the main factors that exacerbate lung injury. Here, the multifaceted immunomodulatory nanocomplexes targeting the proinflammatory neutrophilic activation and ROS damage are established.
View Article and Find Full Text PDFNeuro Endocrinol Lett
December 2024
Sichuan Provincial Center for Mental Health, Sichuan Provincial People's Hospital, School of Medicine, University of Electronic Science and Technology of China, Chengdu 610072, China.
Background: Major depression is classified into distinct subtypes: simple (SDMD) and major dysmood disorder (MDMD). MDMD patients exhibit elevated atherogenicity and decreased reverse cholesterol transport (RCT). However, comprehensive data regarding lipid metabolism is absent in first episode (FE)-SDMD.
View Article and Find Full Text PDFGenet Med
December 2024
Sheffield Clinical Genetics Service, Sheffield Children's NHS Foundation Trust, Sheffield, UK; Division of Clinical Medicine, University of Sheffield, Sheffield, UK. Electronic address:
Purpose: The TAOK proteins are a group of serine/threonine-protein kinases involved in signalling pathways, cytoskeleton regulation, and neuronal development. TAOK1 variants are associated with a neurodevelopmental disorder (NDD) characterized by distinctive facial features, hypotonia and feeding difficulties. TAOK2 variants have been reported to be associated with autism and early-onset obesity.
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