Peer-reviewed veterinary case report
Diagnosing heart failure in cats with breathing problems using
By Ward, Jessica L et al.·Published in Journal of veterinary internal medicine·2018·Department of Veterinary Clinical Sciences·View original on PubMed →
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Original publication title: Evaluation of point-of-care thoracic ultrasound and NT-proBNP for the diagnosis of congestive heart failure in cats with respiratory distress.
- Species:
- cat
Plain-English summary
A group of 51 cats with breathing problems were evaluated to see if point-of-care ultrasound and a blood test could help diagnose congestive heart failure (CHF). The tests showed that lung ultrasound and NT-proBNP blood tests were effective in identifying CHF, with the ultrasound being particularly accurate when certain patterns were present. Out of the cats tested, 33 were diagnosed with CHF, and the tests helped confirm this diagnosis in most cases. These diagnostic tools can be very helpful for veterinarians when assessing cats that are struggling to breathe.
People also search for: cat breathing problems diagnosis · congestive heart failure in cats · NT-proBNP test for cats · lung ultrasound for cats
Abstract
BACKGROUND: The diagnosis of congestive heart failure (CHF) in cats is challenging. Point-of-care (POC) thoracic ultrasound and NT-proBNP testing are emerging tools that may aid in diagnosis. HYPOTHESIS/OBJECTIVES: To assess the diagnostic accuracy of POC lung ultrasound (LUS), focused cardiac ultrasound (FCU), and NT-proBNP in predicting a final diagnosis of CHF. ANIMALS: Fifty-one cats in respiratory distress. METHODS: Blood NT-proBNP, LUS, and FCU evaluating left atrial (LA) size and presence of pericardial effusion (PCEFF) were performed in all cats. Lung ultrasound findings including pleural effusion (PLEFF), number of B-lines, and sub-pleural abnormalities were noted. Medical records were evaluated for final diagnosis. RESULTS: Thirty-three of 51 (65%) cats were diagnosed with CHF. Lung ultrasound and blood NT-proBNP were significant predictors of CHF in a multivariate model. The LUS criterion that maximized accuracy for CHF diagnosis was presence of >1 site strongly positive for B-lines (>3 B-lines per site), resulting in sensitivity of 78.8%, specificity of 83.3%, and area under the curve (AUC) of 0.833. Subjective LA enlargement was 97.0% sensitive and 100% specific for CHF (AUC 0.985). Presence of PCEFF also was 100% specific, but only 60.6% sensitive, for CHF (AUC 0.803). A positive blood NT-proBNP test was 93.9% sensitive and 72.2% specific for the diagnosis of CHF (AUC 0.831). CONCLUSIONS AND CLINICAL IMPORTANCE: Point-of-care diagnostic techniques of LUS, FCU, and NT-proBNP are useful to diagnose CHF in cats with respiratory distress.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/30216579/