Objective: To determine the relationship between hoof surface (HS), hoof wall (HW), and lamellar tissue (LAM) temperature during distal limb cooling and evaluate 4 cooling methods in ambulatory horses over extended periods using HW to estimate LAM temperature.
Methods: 8 healthy, university-owned horses were enrolled. Temperature was measured over 4 hours at LAM, HS, and HW for 4 cooling methods: ice sleeve (SLEEVE), ice pack system (ICEPACK), low-volume ice water immersion (LV-IMMERSION), and high-volume ice water immersion (HV-IMMERSION). The relationship between HW, HS, and LAM was mathematically modeled, generating a method-specific correction factor to predict LAM based on HW. Hoof wall temperature was then measured over 8 hours with horses free in a stall (LAM was estimated using HW). Mixed-effects linear regression was used to compare cooling methods.
Results: HV-IMMERSION and LV-IMMERSION significantly decreased LAM temperature over 4 hours (P < .001), whereas ICEPACK and SLEEVE did not. Lamellar tissue temperature estimated using HW showed good concordance (ρc = 0.93 [0.93 to 0.94]; P < .001) and correlation (r = 0.93; P < .001) with measured LAM temperature. In horses free in the stall for 8 hours, the estimated LAM temperature decreased significantly with HV-IMMERSION (-20.4 °C [-22.9 to -17.8]) and LV-IMMERSION (-14.9 °C [-17.7 to -12.1]) compared to control (32.7 °C [32.2 to 33.2]; P < .001) but did not decrease with ICEPACK (-2.7 °C [-5.6 to -0.3]; P < .08) or SLEEVE (-1.8 °C [-5.6 to -2.0]; P < .4).
Conclusions: HV-IMMERSION and LV-IMMERSION were superior to ICEPACK and SLEEVE for lamellar cooling.
Clinical Relevance: Immersion of the distal limb in ice and water is most effective for cooling the digital lamellae under clinically relevant conditions.
Download full-text PDF |
Source |
|---|---|
| http://dx.doi.org/10.2460/ajvr.24.10.0291 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Cryopreservation of brain cell structure: a review.
Free Neuropathol
January 2024
Friedman Brain Institute, Departments of Pathology, Neuroscience, and Artificial Intelligence & Human Health, Icahn School of Medicine at Mount Sinai, New York, New York, USA.
Cryopreservation, the preservation of tissues at subzero temperatures, is a mainstay of brain banking that allows for the storage of brain tissue without the use of chemical fixatives. This is particularly important for molecular studies that are incompatible with tissue fixation. However, brain tissue is vulnerable to various forms of damage during the cryopreservation process, in particular due to the phase transition of water from a liquid to a solid state with the formation of ice crystals, which can disrupt cellular morphology.
View Article and Find Full Text PDFA dataset of Antarctic ecosystems in ice-free lands: classification, descriptions, and maps.
Sci Data
January 2025
Centre for Ecosystem Science, School of Biological, Earth, and Environmental Sciences, University of New South Wales, Sydney, NSW 2052, Australia.
Antarctica, Earth's least understood and most remote continent, is threatened by human disturbances and climate-related changes, underscoring the imperative for biodiversity inventories to inform conservation. Antarctic ecosystems support unique species and genetic diversity, deliver essential ecosystem services and contribute to planetary stability. We present Antarctica's first comprehensive ecosystem classification and map of ice-free lands, which host most of the continent's biodiversity.
View Article and Find Full Text PDFEnhanced streamflow forecasting using hybrid modelling integrating glacio-hydrological outputs, deep learning and wavelet transformation.
Sci Rep
January 2025
UNESCO Centre of Water Law, Policy & Science, University of Dundee, Dundee, UK.
Understanding snow and ice melt dynamics is vital for flood risk assessment and effective water resource management in populated river basins sourced in inaccessible high-mountains. This study provides an AI-enabled hybrid approach integrating glacio-hydrological model outputs (GSM-SOCONT), with different machine learning and deep learning techniques framed as alternative 'computational scenarios, leveraging both physical processes and data-driven insights for enhanced predictive capabilities. The standalone deep learning model (CNN-LSTM), relying solely on meteorological data, outperformed its counterpart machine learning and glacio-hydrological model equivalents.
View Article and Find Full Text PDFObjective: To determine the relationship between hoof surface (HS), hoof wall (HW), and lamellar tissue (LAM) temperature during distal limb cooling and evaluate 4 cooling methods in ambulatory horses over extended periods using HW to estimate LAM temperature.
Methods: 8 healthy, university-owned horses were enrolled. Temperature was measured over 4 hours at LAM, HS, and HW for 4 cooling methods: ice sleeve (SLEEVE), ice pack system (ICEPACK), low-volume ice water immersion (LV-IMMERSION), and high-volume ice water immersion (HV-IMMERSION).
Rich Phase Behaviors of One-Dimensional Interfacial Water via Tuning Interfacial Water-Solid Interaction.
J Phys Chem Lett
January 2025
Department of Materials Science & Engineering, City University of Hong Kong, Kowloon, Hong Kong.
Despite numerous studies of water structures at the two-dimensional water-solid interfaces, much less is known about the phase behaviors of water at the one-dimensional (1D) liquid-solid interface. In this work, the 1D interfacial water phase behavior on the outer surface of carbon nanotube-like (CNT-like) models is studied by tuning the Lennard-Jones potential parameter ε of the surface atoms at various temperatures. Extensive molecular dynamics simulations show that ice nanotubes (INTs) can be spontaneously formed on CNT-like model surfaces without nanoconfinement.
View Article and Find Full Text PDFWant 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!