Chemical burns are often deep with difficult initial clinical evaluation, especially those due to alkalic agents, which have a strong penetrating power. They therefore require specialized care in a Burn Unit. Self-inflicted burns are infrequent but their management represents a real challenge. We report the case of a 47-year-old referred to our Burn Center for the evaluation of a self-inflicted corrosion with an alkalic agent (soda), injected at the crease of the left elbow. The patient, right handed, was a nurse and had notably a psychiatric history of depressive syndrome. We observed a deep, well-defined necrosis area, associated with intense peri-lesional inflammation and extensive cellulitis. Faced with this unusual clinical appearance for a chemical burn, the patient's questioning was repeated and the patient finally admitted to having injected himself with a basic caustic product intravenously. Surgical treatment was carried out in two stages: debridement with exposure of vascular and neural structures then coverage with a free anterolateral thigh flap. The postoperative consequences were uneventful with a satisfactory functional result. Factitious disorders are underestimated and often misleading. Among factitious disorders, self-inflicted wounds remain a real challenge requiring multidisciplinary management. Many etiologies exist, among which injection of drugs or substances, in any anatomical localization, leading to variable loss of substance. The use of a free flap for acute extravasation is rare but sometimes essential. The anterolateral thigh flap allows good resurfacing on areas with important functional requirements.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.anplas.2022.07.002DOI Listing

Publication Analysis

Top Keywords

real challenge
8
anterolateral thigh
8
thigh flap
8
factitious disorders
8
"extensive necrosis
4
necrosis extravasation
4
extravasation alkali
4
alkali crease
4
crease elbow
4
elbow voluntary
4

Similar Publications

Strain sensing fabrics are able to sense the deformation of the outside world, bringing more accurate and real-time monitoring and feedback to users. However, due to the lack of clear sensing mechanism for high sensitivity and high linearity carbon matrix composites, the preparation of high performance strain sensing fabric weaving is still a major challenge. Here, an elastic polyurethane(PU)-based conductive fabric(GCPU) with high sensitivity, high linearity and good hydrophobicity is prepared by a novel synergistic conductive network strategy.

View Article and Find Full Text PDF

Polydopamine-Mediated, Centrifugal Force-Driven Gold Nanoparticle-Deposited Microneedle SERS Sensors for Food Safety Monitoring Theoretical Study of the SERS Substrate Fabrication.

ACS Sens

January 2025

The Education Ministry Key Lab of Resource Chemistry, Shanghai Key Laboratory of Rare Earth Functional Materials, Shanghai Municipal Education Committee Key Laboratory of Molecular Imaging Probes and Sensors, and Department of Chemistry, Shanghai Normal University, Shanghai 200234, P. R. China.

Microneedle (MN) sensors have great promise for food safety detection, but the rapid preparation of MNs for surface-enhanced Raman scattering (SERS) sensors with tunable and homogeneous nanoparticles remains a great challenge. To address this, a SERS sensor of gold nanoparticles@polydopamine@poly(methyl methacrylate) MN (AuNPs@PDA@PMMA-MN) was developed. The extended-Derjaguin-Landau-Verwey-Overbeek theory was applied to calculate the interaction energy between AuNPs and PDA.

View Article and Find Full Text PDF

Stock price prediction is a challenging research domain. The long short-term memory neural network (LSTM) widely employed in stock price prediction due to its ability to address long-term dependence and transmission of historical time signals in time series data. However, manual tuning of LSTM parameters significantly impacts model performance.

View Article and Find Full Text PDF

Improving energy efficiency is crucial for smart factories that want to meet sustainability goals and operational excellence. This study introduces a novel decision-making framework to optimize energy efficiency in smart manufacturing environments, integrating Intuitionistic Fuzzy Sets (IFS) with Multi-Criteria Decision-Making (MCDM) techniques. The proposed approach addresses key challenges, including reducing carbon footprints, managing operating costs, and adhering to stringent environmental standards.

View Article and Find Full Text PDF

A digital twin is a virtual model of a real-world system that updates in real-time. In healthcare, digital twins are gaining popularity for monitoring activities like diet, physical activity, and sleep. However, their application in predicting serious conditions such as heart attacks, brain strokes and cancers remains under investigation, with current research showing limited accuracy in such predictions.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!