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Peer-reviewed veterinary case report

How breathing rate and oxygen levels predict dog recovery

By Duble, Erin et al.·Published in Frontiers in veterinary science·2024·Department of Veterinary Clinical Sciences, United States·View original on PubMed

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Original publication title: The utility of the respiratory rate-oxygenation index as a predictor of treatment response in dogs receiving high-flow nasal cannula oxygen therapy.

Species:
dog

Plain-English summary

A group of 88 dogs with breathing problems received high-flow nasal oxygen therapy to help with their respiratory failure. Researchers found that two specific measurements, the respiratory rate-oxygenation index (ROX) and the pulse oximetry saturation to inspired oxygen ratio (SpO/FiO), could help predict how well the dogs would respond to the treatment. About 38% of the dogs improved with this therapy, and the measurements taken during treatment showed promise in forecasting success. These findings suggest that vets might use these indices to better assess treatment outcomes for dogs needing oxygen therapy.

People also search for: dog breathing problems treatment · high-flow oxygen therapy for dogs · how to help dog with respiratory failure

Abstract

OBJECTIVE: This study aims to evaluate the respiratory rate-oxygenation index (ROX) and the ratio of pulse oximetry saturation (SpO) to the fraction of inspired oxygen (FiO) (SpO/FiO, [SF]) to determine whether these indices are predictive of outcome in dogs receiving high-flow nasal cannula oxygen therapy (HFNOT). DESIGN: This is a prospective observational study. SETTING: This study was carried out at two university teaching hospitals. ANIMALS: In total, 88 dogs treated with HFNOT for hypoxemic respiratory failure due to various pulmonary diseases were selected. MEASUREMENTS AND MAIN RESULTS: The ROX index was defined as the SF divided by the respiratory rate (RR). ROX and SF were calculated at baseline and for each hour of HFNOT. The overall success rate of HFNOT was 38% (&#x2009;=&#x2009;33/88). Variables predicting HFNOT success were determined using logistic regression, and the predictive power of each variable was assessed using the area under the receiver operating curve (AUC). ROX and SF were adequately predictive of HFNOT success when averaged over 0-16&#x2009;h of treatment, with similar AUCs of 0.72 (95% confidence interval [CI] 0.60-0.83) and 0.77 (95% CI 0.66-0.87), respectively (&#x2009;<&#x2009;0.05). SF showed acceptable discriminatory power in predicting HFNOT outcome at 7&#x2009;h, with an AUC of 0.77 (95% CI 0.61-0.93,&#x2009;=&#x2009;0.013), and the optimal cutoff for predicting HFNC failure at 7&#x2009;h was SF&#x2009;&#x2264;&#x2009;191 (sensitivity 83% and specificity 76%). CONCLUSION: These indices were easily obtained in dogs undergoing HFNOT. The results suggest that ROX and SF may have clinical utility in predicting the outcomes of dogs on HFNOT. Future studies are warranted to confirm these findings in a larger number of dogs in specific disease populations.

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Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/38774907/