Background: Endoscopic-assisted transaxillary first rib resection is a novel approach in the management of thoracic outlet syndrome (TOS) and allows us to safely identify the neurovascular package and different structures. Our main objective is to assess the results of morbidity and mortality of the surgical treatment in TOS with this technique.
Methods: We carried out a prospective, longitudinal study with 22 surgical interventions of transaxillary first rib resection with endoscopic support in patients with TOS from January 2000 to January 2009 in a private hospital located in Puebla, Mexico. There were 16 females and six males with a mean age of 35 years. We found 16/22 (72.7%) patients with neurological symptoms and 6/22 (27.3%) with venous symptoms; 2/22 (9.09%) patients had effort thrombosis of the axillary-subclavian vein.
Results: Of the 22 interventions, we found fibrous bands in 8/22 patients (36.3%); 1/22 (4.5%) with type 1 cervical band and cervical rib grade II, 1/22 (4.5%) with type 2 cervical band and cervical rib grade I, 2/22 (9.09%) with band type 3, 1/22 (4.5%) with band type IV, 1/22 (4.5%) with band type V and 2/22 (9.09%) with band type VII and axillary-subclavian thrombosis. After the procedure, 20/22 (90.9%) patients showed total symptom improvement and 2/22 (9.1%) patients had mild paresthesias. There were no complications from nerve, vascular or pleural damage.
Conclusions: This technique provides an ample margin of safety and improves visibility, reducing surgical complications.
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Acta Diabetol
January 2025
Division of Life Sciences and Medicine, Department of Endocrinology, The First Affiliated Hospital of USTC, University of Science and Technology of China, Hefei, 230001, China.
Background: Visceral adipose tissue (VAT) is known to play a role in the development of metabolic and cardiovascular disease (CVD). However, the age- and sex-specific associations between VAT and these diseases remain unclear.
Methods: In this cross-sectional study, 1,150 participants (39.
Am Surg
January 2025
Department of Surgery, Division of Acute Care Surgery and Surgical Critical Care, Cedars-Sinai Medical Center, Los Angeles, CA, USA.
Fungal growth is common in intraoperative cultures of patients with perforated peptic ulcer (PPU) leading to the common use of empiric antifungal therapy, with current evidence not clearly supporting this practice. The goal of this updated systematic review and meta-analysis was to synthesize the effect of empiric antifungals in patients with PPU. Eligible studies were identified through a comprehensive literature search in the MEDLINE (PubMed) and EMBASE databases, following the PRISMA 2020 statement.
View Article and Find Full Text PDFAddiction
January 2025
Center for Studies on Justice and Society (CJS), Pontificia Universidad Católica de, Chile.
Background And Aims: Evidence from high-income countries has linked duration and compliance with treatment for substance use disorders (SUDs) with reductions in substance use and improvements in mental health. Generalizing these findings to other regions like South America, where opioid and injection drug use is uncommon, is not straightforward. We examined if length of time in treatment and compliance with treatment reduced subsequent substance use and presence of psychiatric comorbidities.
View Article and Find Full Text PDFJ Racial Ethn Health Disparities
January 2025
Cancer Prognostics and Health Outcomes Unit, Division of Urology, University of Montréal Health Center, Montréal, Québec, Canada.
Objective: To test whether race/ethnicity affects stage or grade distribution at upper tract urothelial carcinoma (UTUC) diagnosis.
Methods: Within the Surveillance, Epidemiology, and End Results (SEER) database 2004-2020, UTUC patients were identified. Multivariable logistic regression models tested for the association between race/ethnicity and stage as well as grade at diagnosis according to renal pelvis vs.
Lung Cancer
January 2025
Dept. of Medical Oncology, Princess Margaret Cancer Center, Toronto, ON, Canada.
Background: Manual extraction of real-world clinical data for research can be time-consuming and prone to error. We assessed the feasibility of using natural language processing (NLP), an AI technique, to automate data extraction for patients with advanced lung cancer (aLC). We assessed the external validity of our NLP-extracted data by comparing our findings to those reported in the literature.
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