Detection of Congestive Heart Failure in Dogs by Doppler Echocardiography

K. E. Schober, T. M. Hart, Joshua A Stern, X. Li, V. F. Samii, L. J. Zekas, B. A. Scansen, J. D. Bonagura

Research output: Contribution to journalArticle

69 Citations (Scopus)

Abstract

Background: Echocardiographic prediction of congestive heart failure (CHF) in dogs has not been prospectively evaluated.Hypothesis: CHF can be predicted by Doppler echocardiographic (DE) variables of left ventricular (LV) filling in dogs with degenerative mitral valve disease (MVD) and dilated cardiomyopathy (DCM).Animals: Sixty-three client-owned dogs.Methods: Prospective clinical cohort study. Physical examination, thoracic radiography, analysis of natriuretic peptides, and transthoracic echocardiography were performed. Diagnosis of CHF was based upon clinical and radiographic findings. Presence or absence of CHF was predicted using receiver-operating characteristic (ROC) curve, multivariate logistic and stepwise regression, and best subsets analyses.Results: Presence of CHF secondary to MVD or DCM could best be predicted by E-:-isovolumic relaxation time (IVRT) (area under the ROC curve [AUC]=0.97, P <.001), respiration rate (AUC=0.94, P <.001), Diastolic Functional Class (AUC=0.93, P <.001), and a combination of Diastolic Functional Class, IVRT, and respiration rate (R2=0.80, P <.001) or Diastolic Functional Class (AUC=1.00, P <.001), respiration rate (AUC=1.00, P <.001), and E-:-IVRT (AUC=0.99, P <.001), and a combination of Diastolic Functional Class and E-:-IVRT (R2=0.94, P <.001), respectively, whereas other variables including N-terminal pro-brain natriuretic peptide, E-:-Ea, and E-:-Vp were less useful.Conclusion and Clinical Importance: Various DE variables can be used to predict CHF in dogs with MVD and DCM. Determination of the clinical benefit of such variables in initiating, modulating, and assessing success of treatments for CHF needs further study.

Original languageEnglish (US)
Pages (from-to)1358-1368
Number of pages11
JournalJournal of Veterinary Internal Medicine
Volume24
Issue number6
DOIs
StatePublished - Nov 2010
Externally publishedYes

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Doppler Echocardiography
echocardiography
heart failure
ROC Curve
Heart Failure
Dogs
Area Under Curve
dogs
cardiomyopathy
Dilated Cardiomyopathy
Respiratory Rate
respiratory rate
Mitral Valve
natriuretic peptides
Thoracic Radiography
Natriuretic Peptides
Brain Natriuretic Peptide
chest
radiography
cohort studies

Keywords

  • Canine
  • Degenerative mitral valve disease
  • Dilated cardiomyopathy
  • NT-proBNP
  • Respiration rate

ASJC Scopus subject areas

  • veterinary(all)

Cite this

Detection of Congestive Heart Failure in Dogs by Doppler Echocardiography. / Schober, K. E.; Hart, T. M.; Stern, Joshua A; Li, X.; Samii, V. F.; Zekas, L. J.; Scansen, B. A.; Bonagura, J. D.

In: Journal of Veterinary Internal Medicine, Vol. 24, No. 6, 11.2010, p. 1358-1368.

Research output: Contribution to journalArticle

Schober, KE, Hart, TM, Stern, JA, Li, X, Samii, VF, Zekas, LJ, Scansen, BA & Bonagura, JD 2010, 'Detection of Congestive Heart Failure in Dogs by Doppler Echocardiography', Journal of Veterinary Internal Medicine, vol. 24, no. 6, pp. 1358-1368. https://doi.org/10.1111/j.1939-1676.2010.0592.x
Schober, K. E. ; Hart, T. M. ; Stern, Joshua A ; Li, X. ; Samii, V. F. ; Zekas, L. J. ; Scansen, B. A. ; Bonagura, J. D. / Detection of Congestive Heart Failure in Dogs by Doppler Echocardiography. In: Journal of Veterinary Internal Medicine. 2010 ; Vol. 24, No. 6. pp. 1358-1368.
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abstract = "Background: Echocardiographic prediction of congestive heart failure (CHF) in dogs has not been prospectively evaluated.Hypothesis: CHF can be predicted by Doppler echocardiographic (DE) variables of left ventricular (LV) filling in dogs with degenerative mitral valve disease (MVD) and dilated cardiomyopathy (DCM).Animals: Sixty-three client-owned dogs.Methods: Prospective clinical cohort study. Physical examination, thoracic radiography, analysis of natriuretic peptides, and transthoracic echocardiography were performed. Diagnosis of CHF was based upon clinical and radiographic findings. Presence or absence of CHF was predicted using receiver-operating characteristic (ROC) curve, multivariate logistic and stepwise regression, and best subsets analyses.Results: Presence of CHF secondary to MVD or DCM could best be predicted by E-:-isovolumic relaxation time (IVRT) (area under the ROC curve [AUC]=0.97, P <.001), respiration rate (AUC=0.94, P <.001), Diastolic Functional Class (AUC=0.93, P <.001), and a combination of Diastolic Functional Class, IVRT, and respiration rate (R2=0.80, P <.001) or Diastolic Functional Class (AUC=1.00, P <.001), respiration rate (AUC=1.00, P <.001), and E-:-IVRT (AUC=0.99, P <.001), and a combination of Diastolic Functional Class and E-:-IVRT (R2=0.94, P <.001), respectively, whereas other variables including N-terminal pro-brain natriuretic peptide, E-:-Ea, and E-:-Vp were less useful.Conclusion and Clinical Importance: Various DE variables can be used to predict CHF in dogs with MVD and DCM. Determination of the clinical benefit of such variables in initiating, modulating, and assessing success of treatments for CHF needs further study.",
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AU - Schober, K. E.

AU - Hart, T. M.

AU - Stern, Joshua A

AU - Li, X.

AU - Samii, V. F.

AU - Zekas, L. J.

AU - Scansen, B. A.

AU - Bonagura, J. D.

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N2 - Background: Echocardiographic prediction of congestive heart failure (CHF) in dogs has not been prospectively evaluated.Hypothesis: CHF can be predicted by Doppler echocardiographic (DE) variables of left ventricular (LV) filling in dogs with degenerative mitral valve disease (MVD) and dilated cardiomyopathy (DCM).Animals: Sixty-three client-owned dogs.Methods: Prospective clinical cohort study. Physical examination, thoracic radiography, analysis of natriuretic peptides, and transthoracic echocardiography were performed. Diagnosis of CHF was based upon clinical and radiographic findings. Presence or absence of CHF was predicted using receiver-operating characteristic (ROC) curve, multivariate logistic and stepwise regression, and best subsets analyses.Results: Presence of CHF secondary to MVD or DCM could best be predicted by E-:-isovolumic relaxation time (IVRT) (area under the ROC curve [AUC]=0.97, P <.001), respiration rate (AUC=0.94, P <.001), Diastolic Functional Class (AUC=0.93, P <.001), and a combination of Diastolic Functional Class, IVRT, and respiration rate (R2=0.80, P <.001) or Diastolic Functional Class (AUC=1.00, P <.001), respiration rate (AUC=1.00, P <.001), and E-:-IVRT (AUC=0.99, P <.001), and a combination of Diastolic Functional Class and E-:-IVRT (R2=0.94, P <.001), respectively, whereas other variables including N-terminal pro-brain natriuretic peptide, E-:-Ea, and E-:-Vp were less useful.Conclusion and Clinical Importance: Various DE variables can be used to predict CHF in dogs with MVD and DCM. Determination of the clinical benefit of such variables in initiating, modulating, and assessing success of treatments for CHF needs further study.

AB - Background: Echocardiographic prediction of congestive heart failure (CHF) in dogs has not been prospectively evaluated.Hypothesis: CHF can be predicted by Doppler echocardiographic (DE) variables of left ventricular (LV) filling in dogs with degenerative mitral valve disease (MVD) and dilated cardiomyopathy (DCM).Animals: Sixty-three client-owned dogs.Methods: Prospective clinical cohort study. Physical examination, thoracic radiography, analysis of natriuretic peptides, and transthoracic echocardiography were performed. Diagnosis of CHF was based upon clinical and radiographic findings. Presence or absence of CHF was predicted using receiver-operating characteristic (ROC) curve, multivariate logistic and stepwise regression, and best subsets analyses.Results: Presence of CHF secondary to MVD or DCM could best be predicted by E-:-isovolumic relaxation time (IVRT) (area under the ROC curve [AUC]=0.97, P <.001), respiration rate (AUC=0.94, P <.001), Diastolic Functional Class (AUC=0.93, P <.001), and a combination of Diastolic Functional Class, IVRT, and respiration rate (R2=0.80, P <.001) or Diastolic Functional Class (AUC=1.00, P <.001), respiration rate (AUC=1.00, P <.001), and E-:-IVRT (AUC=0.99, P <.001), and a combination of Diastolic Functional Class and E-:-IVRT (R2=0.94, P <.001), respectively, whereas other variables including N-terminal pro-brain natriuretic peptide, E-:-Ea, and E-:-Vp were less useful.Conclusion and Clinical Importance: Various DE variables can be used to predict CHF in dogs with MVD and DCM. Determination of the clinical benefit of such variables in initiating, modulating, and assessing success of treatments for CHF needs further study.

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KW - Degenerative mitral valve disease

KW - Dilated cardiomyopathy

KW - NT-proBNP

KW - Respiration rate

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