Management of contaminated large ventral hernias is still a challenge as a result of massive loss of muscular and fascial tissues in the abdominal wall, traditional contraindication to use of a prosthesis, and complicated perioperative management. This study aimed to provide a solution for this challenging dilemma using monofilament polypropylene mesh (Marlex; Bard) in the Sublay-Bridge fashion. Twenty-three consecutive patients with contaminated large ventral hernias from 2009 to 2011 were identified. Preoperatively, source of contamination at the surgical site was managed through oral antibiotics, wound débridement, and dressing change; the hernia content was reduced into the abdominal cavity gradually and an abdominal binder was applied. Marlex meshes in the Sublay-Bridge fashion were used in these patients. Demographic and perioperative data were collected. Fourteen males and nine females were included with a mean age of 52.5 ± 10.5 years and a mean body mass index of 25.2 ± 6.1 kg/m(2). Twelve patients underwent ostomy takedown, which was the most common indication. Mean hernia size was 120.5 ± 18.5 cm(2) and a mean mesh size was 380.0 ± 80.5 cm(2). The mean operative time was 125.5 ± 35.5 minutes and the hospital stay was 10.0 ± 3.5 days. Twenty-three patients had a mean follow-up period of 12.5 ± 6.5 months. An iatrogenic bladder injury occurred because of severe prevesical adhesion attributed to previous prosthesis repair. There was no presentation of abdominal compartment syndrome. Four patients developed surgical site infection and managed with conservative therapy without mesh removal. Three patients had seromas and underwent aspiration guided by B-ultrasound. Three patients reported chronic foreign body sensation. No recurrence was followed up. Repair of contaminated large ventral hernia using a Marlex mesh in the Sublay-Bridge fashion is safe and efficient management. Perioperative management and operative technology play important roles in dealing with this problem.
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Sci Rep
January 2025
School of Environmental Science and Engineering, Yancheng Institute of Technology, Yancheng, 224051, People's Republic of China.
MXenes, as a novel two-dimensional lamellar material, has attracted much attention. However, MXenes lamellar are prone to collapse and stacking under hydrogen bonding and interlayer van der Waals forces, which affects their electrochemical and capacitive deionization performance. A three-dimensional Ni-1,3,5-benzenetricarboxylate/TiCT (Ni-BTC/TiCT) composite electrode material was developed to enhance the electrochemical and capacitive deionization performance.
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March 2025
Department of Materials Science and Engineering, University of Utah, Salt Lake City, UT, 84112, USA. Electronic address:
Background: Perfluorooctane sulfonate (PFOS), one of the most harmful members of the large group of per- and poly-fluoroalkyl substances (PFAS), is notorious for its environmental persistence, bioaccumulation, and toxic effects, raising serious environmental and health concerns. Developing rapid and sensitive methods to detect PFOS in water is critical for effective monitoring and protection against this hazardous chemical.
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Environ Res
January 2025
The Key Laboratory of Environmental Pollution Health Risk Assessment, Research Center of Emerging Contaminants, South China Institute of Environmental Sciences, Ministry of Ecology and Environment, Guangzhou 510655, P.R. China.
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January 2025
Mines Paris, PSL University, Center for Geosciences and Geoengineering, France; ORANO Mining, Environmental R&D Dpt., France.
Sandstone-hosted uranium is mined in the Sahel regions of Niger. The Teloua aquifer is located beneath the ore-processing facilities of one such former mine, COMINAK. The pores of the sandstone bedrock are partially filled by tosudite, a clay with sorption capacities.
View Article and Find Full Text PDFTalanta
January 2025
College of Chemistry and Environmental Engineering, Shenzhen University, Shenzhen, Guangdong 518060, PR China. Electronic address:
Electrochemiluminescence (ECL)-based point-of-care testing (POCT) has the potential to facilitate the rapid identification of diseases, offering advantages such as high sensitivity, strong selectivity, and minimal background interference. However, as the throughput of these devices increases, the issues of increased energy consumption and cross-contamination of samples remain. In this study, a high-throughput ECL biosensor platform with the assistance of machine learning algorithms is developed by combining a microcolumn array electrode, a microelectrochemical workstation, and a smartphone with custom software.
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