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Data Sheet 1_Characterization of dynamic compliance of the respiratory system in healthy anesthetized dogs.pdf

Title: Data Sheet 1_Characterization of dynamic compliance of the respiratory system in healthy anesthetized dogs.pdf
Authors: Mathieu Raillard; Martina Mosing; Anthea Raisis; Adam Auckburally; Georgina Beaumont; Frances Downing; Charlotte Heselton; Paul MacFarlane; Karine Portier; Josephine Robertson; Joao Henrique Neves Soares; Barbara Steblaj; Elliot Wringe; Olivier L. Levionnois
Publication Year: 2024
Collection: Frontiers: Figshare
Subject Terms: Veterinary Anaesthesiology and Intensive Care; anesthesia; compliance; dogs; dynamic compliance; monitoring; respiratory mechanics; spirometry; ventilation
Description: Introduction In clinical practice, evaluating dynamic compliance of the respiratory system (C dyn ) could provide valuable insights into respiratory mechanics. Reference values of C dyn based on body weight have been reported, but various factors may affect them and the evidence is scanty. This study aimed to establish a reference interval for C dyn and identify associated variables. Methods Data were collected from 515 client-owned dogs requiring anesthesia, excluding those with lower airway disease. The dogs were anesthetized, the tracheas intubated, and lungs ventilated at clinicians' discretion across 11 centers in six countries, with no restrictions on anesthesia protocols or ventilation settings, except avoiding inspiratory pauses. Three C dyn measurements from three consecutive breaths per dog were recorded using a standardized form, which also documented factors affecting C dyn identified through literature and an online survey. Various spirometry technologies were used. The substantial variance in C dyn measurements led to a comprehensive analysis using a multiple linear regression model. Multicollinearity (variables highly correlated with each other) was addressed by investigating, transforming, or excluding factors. Initial simple linear regression assessed each variable's individual effect on C dyn , followed by a multiple linear regression model constructed via stepwise forward selection and backward elimination. Results The best-fitting model identified a linear relationship between C dyn and body mass when the following conditions were met: high BCS (Body Condition Score), orotracheal tubes 80%) exposure for more than 10 minutes before C dyn measurement. In cases where these conditions were not met, additional factors needed to be incorporated into the model. Low (1/9, 2/9, 3/9) and medium (4/9, 5/9) BCS, an orotracheal tube of the predicted size or larger and longer inspiratory times were ...
Document Type: dataset
Language: unknown
Relation: https://figshare.com/articles/dataset/Data_Sheet_1_Characterization_of_dynamic_compliance_of_the_respiratory_system_in_healthy_anesthetized_dogs_pdf/27923835
DOI: 10.3389/fvets.2024.1490494.s001
Availability: https://doi.org/10.3389/fvets.2024.1490494.s001; https://figshare.com/articles/dataset/Data_Sheet_1_Characterization_of_dynamic_compliance_of_the_respiratory_system_in_healthy_anesthetized_dogs_pdf/27923835
Rights: CC BY 4.0
Accession Number: edsbas.A7BC7F4B
Database: BASE