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Background: Pleural effusion, the presence of fluid within the pleural space, is a common condition secondary to a wide range of pathological causes. Splenic abscess, which is rare, has previously been described as a cause of exudative pleural effusion. Splenic abscess is thought to be associated with bacteremia, iatrogenic inoculation, or hematogenous spread from another bacterial focus.
View Article and Find Full Text PDF[The iatrogenic risk of institutional care in the management of patients with anorexia nervosa].
Soins
January 2025
Institut des sciences humaines en médecine, centre hospitalier universitaire vaudois, Université de Lausanne, avenue de Provence 82, 1007 Lausanne, Suisse; Laboratoire de psychologie clinique, psychopathologie, psychanalyse, École doctorale 261, Université Paris Cité, 71 avenue Édouard-Vaillant, 92100 Boulogne-Billancourt, France; Psychiatrie du développement et trajectoires, Inserm U1018, CESP, Hôpital Cochin, Maison de Solenn, 97 boulevard de Port-Royal, 75014 Paris, France. Electronic address:
This article explores the potential iatrogenic impact of institutional care on patients suffering from anorexia nervosa, based on a perspective drawn from the human and social sciences. In particular, it highlights the social mechanisms - such as the collision of intentions, pathological emulation, stigmatization and identity dedifferentiation - that can aggravate pathology in the hospital setting. Four recommendations are put forward for rethinking care, favoring a more holistic and less iatrogenic approach.
View Article and Find Full Text PDFInternational Expert-Based Consensus Definition, Classification Criteria, and Minimum Data Elements for Osteoradionecrosis of the Jaw: An Inter-Disciplinary Modified Delphi Study.
Int J Radiat Oncol Biol Phys
January 2025
Department of Radiation Oncology, The University of Texas MD Anderson Cancer Center, Houston, USA.
Purpose: Osteoradionecrosis of the jaw (ORNJ) is a severe iatrogenic disease characterized by bone death after radiation therapy (RT) to the head and neck. With over 9 published definitions and at least 16 classification systems, the true incidence and severity of ORNJ are obscured by lack of a standard for disease definition and severity assessment, leading to inaccurate estimation of incidence, reporting ambiguity, and likely under-diagnosis worldwide. This study aimed to achieve consensus on an explicit definition and phenotype of ORNJ and related precursor states through data standardization to facilitate effective diagnosis, monitoring, and multidisciplinary management of ORNJ.
View Article and Find Full Text PDFMmuPV1 infection of Tmc6/Ever1 or Tmc8/Ever2 deficient FVB mice as a model of βHPV in typical epidermodysplasia verruciformis.
PLoS Pathog
January 2025
Department of Pathology, Johns Hopkins University, Baltimore, Maryland, United States of America.
Typical epidermodysplasia verruciformis (EV) is a rare, autosomal recessive disorder characterized by an unusual susceptibility to infection with specific skin-trophic types of human papillomavirus, principally betapapillomaviruses, and a propensity for developing malignant skin tumors in sun exposed regions. Its etiology reflects biallelic loss-of-function mutations in TMC6 (EVER1), TMC8 (EVER2) or CIB1. A TMC6-TMC8-CIB1 protein complex in the endoplasmic reticulum is hypothesized to be a restriction factor in keratinocytes for βHPV infection.
View Article and Find Full Text PDFArtificial intelligence performance in ultrasound-based lymph node diagnosis: a systematic review and meta-analysis.
BMC Cancer
January 2025
The Department of Health Technology and Informatics, The Hong Kong Polytechnic University, Hong Kong, China.
Background And Objectives: Accurate classification of lymphadenopathy is essential for determining the pathological nature of lymph nodes (LNs), which plays a crucial role in treatment selection. The biopsy method is invasive and carries the risk of sampling failure, while the utilization of non-invasive approaches such as ultrasound can minimize the probability of iatrogenic injury and infection. With the advancement of artificial intelligence (AI) and machine learning, the diagnostic efficiency of LNs is further enhanced.
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