Peer-reviewed veterinary case report
How ultrasound and NT-proBNP help diagnose heart failure in cats
By Ward, Jessica L. et al.·Published in Journal of Veterinary Internal Medicine·2018·College of Veterinary Medicine, Iowa State University Department of Veterinary Clinical Sciences, , Ames, Iowa·View original on Crossref →
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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 for congestive heart failure (CHF), a serious heart condition. The veterinarians used a combination of lung ultrasounds and a blood test called NT-proBNP to help diagnose CHF. They found that these tests were quite effective, with lung ultrasound showing a high accuracy rate for identifying CHF. In the end, 33 of the cats were diagnosed with CHF, and the tests helped the vets determine the best treatment options for these cats.
People also search for: cat breathing problems · congestive heart failure in cats · NT-proBNP test for cats · lung ultrasound for cat heart disease
Abstract
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 Crossref: https://doi.org/10.1111/jvim.15246