Objective: The primary objective of this study was to assess the feasibility of noninvasive mechanical ventilation (NIV) in cats. The secondary objective was to determine whether cardiovascular parameters and anesthetic drug requirements associated with noninvasive ventilation differ from those associated with invasive ventilation.
Design: Randomized, cross-over design.
Setting: A research laboratory in a veterinary teaching hospital.
Animals: Eight healthy adult cats, 3 intact females and 5 intact males, weighing between 3 and 6 kg, were used.
Interventions: Each cat was randomly assigned to NIV via nasal mask, or invasive ventilation using an endotracheal tube. Mechanical ventilation was performed for 6 hours. Anesthesia was provided using continuous infusions of propofol and butorphanol. After a minimum 9-day washout period, the procedure was repeated using the alternate ventilation interface.
Measurements And Main Results: Cardiovascular parameters (heart rate, rectal temperature, direct arterial blood pressure), arterial blood gases, drug requirements, sedation score, and ventilation parameters, were monitored throughout the procedures. These values were evaluated using ANCOVA for repeated measures. All cats were effectively ventilated using NIV. There were no significant differences in cardiovascular parameters, drug requirements, or sedation scores between groups. Although PaCO(2) values did not differ, PaO(2) values were significantly higher in the invasively ventilated group. Inspiratory tidal volumes were similar between groups, whereas expiratory tidal volumes were significantly lower in the NIV group. Inspiratory pressures were significantly higher in the NIV group. Respiratory frequency was significantly higher in the invasively ventilated group.
Conclusions: NIV of cats is possible. However, currently it does not confer any cardiovascular benefit over invasive ventilation and drug requirements are similar. Use of a correctly fitted mask is essential for successful NIV as air leaks account for the observed discrepancy between inspiratory and expiratory volumes. Further investigation into this modality is warranted.
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http://dx.doi.org/10.1111/j.1476-4431.2009.00458.x | DOI Listing |
Pharm Stat
January 2025
Department of Biostatistics, School of Public Health, University of Michigan, Ann Arbor, Michigan, USA.
A recent study design for clinical trials with small sample sizes is the small n, sequential, multiple assignment, randomized trial (snSMART). An snSMART design has been previously proposed to compare the efficacy of two dose levels versus placebo. In such a trial, participants are initially randomized to receive either low dose, high dose or placebo in stage 1.
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Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore.
Artificial intelligence (AI) offers a broad range of enhancements in medicine. Machine learning and deep learning techniques have shown significant potential in improving diagnosis and treatment outcomes, from assisting clinicians in diagnosing medical images to ascertaining effective drugs for a specific disease. Despite the prospective benefits, adopting AI in clinical settings requires careful consideration, particularly concerning data generalisation and model explainability.
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Department of Infectious Diseases, Tangdu Hospital, Fourth Military Medical University, Xi'an, Shaanxi, China.
Introduction: Wernicke encephalopathy is a metabolic disease mainly associated with vitamin B1 deficiency, which is common in chronic alcoholism. Non-alcoholic Wernicke encephalopathy is difficult for early diagnosis.
Case Presentation: One case involved a 62-year-old man who was admitted to hospital with drug-induced liver failure.
Front Endocrinol (Lausanne)
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Institute of Endocrinology, Medical Academy, Lithuanian University of Health Sciences, Kaunas, Lithuania.
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J Venom Anim Toxins Incl Trop Dis
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School of Health Santa Casa BH, Belo Horizonte, MG, Brazil.
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