Evaluation of point-of-care thoracic ultrasound and NT-proBNP for the diagnosis of congestive heart failure in cats with respiratory distress
Autor: | Jessica L. Ward, Yamir Reina-Doreste, Gregory R. Lisciandro, Teresa C. DeFrancesco, Kari Kurtz, Wendy A. Ware, Austin K. Viall, Brent Aona |
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Rok vydání: | 2018 |
Předmět: |
Male
medicine.medical_specialty cardiac 040301 veterinary sciences Pleural effusion Point-of-Care Systems point‐of‐care Cardiology Standard Article Cat Diseases Pericardial effusion lung 0403 veterinary science 03 medical and health sciences 0302 clinical medicine Internal medicine Natriuretic Peptide Brain medicine Animals False Positive Reactions cardiovascular diseases feline Respiratory system False Negative Reactions Retrospective Studies Heart Failure CATS Lung General Veterinary Respiratory distress business.industry Area under the curve 030208 emergency & critical care medicine 04 agricultural and veterinary sciences respiratory medicine.disease Standard Articles Peptide Fragments medicine.anatomical_structure Echocardiography Heart failure Cats biomarker Female SMALL ANIMAL B‐lines business Biomarkers |
Zdroj: | Journal of Veterinary Internal Medicine |
ISSN: | 0891-6640 |
DOI: | 10.1111/jvim.15246 |
Popis: | 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. |
Databáze: | OpenAIRE |
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