98%
921
2 minutes
20
Lameness in pigs decreases animal welfare and economic profit for the farmer. An important reason for impaired welfare in lame animals is pain due to lameness. No direct measurement of pain is possible in animals, and methods to indirectly detect and quantify the amount of pain an animal is experiencing are urgently needed. In this study, two methods to assess pain associated with lameness in pigs were evaluated to determine if they were sensitive enough to detect a lameness reduction as an effect of an experimental analgesic medication. Asymmetry associated with lameness was objectively quantified using pressure mat kinetic parameters: peak vertical force (PVF), load rate (LR), vertical impulse (VI) and peak vertical pressure (PVP). Locomotor activity was assessed in an open field test. A dose of 0.04 mg/kg buprenorphine, a strong analgesic, was used to treat 10 lame pigs, while eight other lame pigs, treated with physiological saline solution, served as controls. Buprenorphine decreased lameness-associated asymmetry for pressure mat LR (P = 0.002), VI (P = 0.003) and PVP (P = 0.001) and increased activity of the lame pigs in the open field (P = 0.023), while saline-treated animals did not show any changes in asymmetry and became less active in the open field (P <0.001). It was concluded that measurement of gait asymmetry by pressure mat analysis and locomotor activity in an open field test are both sensitive enough to detect the analgesic effects of buprenorphine when used to treat moderate to severe clinical pain in a relatively small group of affected pigs. The methods used in this study may also provide promising additional tools for future research into early pain recognition and lameness treatment in pigs.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1016/j.tvjl.2015.10.016 | DOI Listing |
Vestn Oftalmol
September 2025
Krasnov Research Institute of Eye Diseases, Moscow, Russia.
Primary open-angle glaucoma (POAG) is characterized by chronic progressive damage to the retinal ganglion cell layer (GCL) and their axons, leading to gradual visual function loss. Currently, the gold standards for structural and functional assessment of the retina in glaucoma are static automated perimetry (SAP) and optical coherence tomography (OCT). However, in clinical practice, data from SAP and OCT may be insufficient to reliably determine the stage of glaucomatous optic neuropathy, monitor its progression, or differentiate it from other causes of visual dysfunction.
View Article and Find Full Text PDFVestn Oftalmol
September 2025
OOO Diagnosticheskij tsentr Zreniye, Saint Petersburg, Russia.
Objective: This study evaluated the effect of sequential therapy with different dosages of Mexidol on the stabilization of glaucomatous optic neuropathy (GON) in patients with primary open-angle glaucoma (POAG).
Material And Methods: The study included 80 patients (160 eyes) with stage II and III POAG, randomized into three groups comparable by age, gender, and distribution of glaucoma stage. All patients received sequential therapy with Mexidol (14 days parenterally followed by 90 days orally).
Ophthalmic Physiol Opt
September 2025
School of Optometry, Indiana University Bloomington, Bloomington, Indiana, USA.
Purpose: Recent work has shown potential benefits for perimetry with dense spacing. To investigate the impact of normal inhomogeneity of perimetric sensitivity on perimetry with dense spacing, suprathreshold perimetry was used near the optic disc where shadows of blood vessels affect sensitivity in healthy eyes.
Methods: Three groups of participants were tested: 58 healthy older controls, 29 healthy younger controls and 18 patients with glaucoma.
J Am Coll Surg
September 2025
Department of Surgery, Division of Cardiothoracic Surgery, University of Colorado, Aurora, CO.
Background: Gender disparities exist in cardiothoracic surgery (CT), though qualitative investigations are lacking. We aimed to explore the impact of workplace culture on belonging, burnout, and career exit for women in CT.
Study Design: We conducted virtual semi-structured interviews with women cardiothoracic surgeons in practice for ≥5 years across the United States from 9/2024 to 12/2024.
J Integr Neurosci
August 2025
School of Computer Science, Guangdong Polytechnic Normal University, 510665 Guangzhou, Guangdong, China.
Background: Emotion recognition from electroencephalography (EEG) can play a pivotal role in the advancement of brain-computer interfaces (BCIs). Recent developments in deep learning, particularly convolutional neural networks (CNNs) and hybrid models, have significantly enhanced interest in this field. However, standard convolutional layers often conflate characteristics across various brain rhythms, complicating the identification of distinctive features vital for emotion recognition.
View Article and Find Full Text PDF