BACKGROUND: The biplane Simpson's method is considered the gold standard to assess and monitor left ventricular (LV) ejection fraction (EF) in critically ill patients. Recently, a new semi-automatic technique based on speckle tracking echocardiography called "Auto-EF" has been introduced. We compared LVEF values obtained with biplane Simpson's method and Auto-EF by two groups of operators: trainee echocardiography intensivists and experienced echocardiographers.METHODS: A standard transthoracic echocardiography was performed on 37 patients. According to image quality 29 patients were selected. Each inexperienced and experienced operator executed an off-line analysis using both Simpson's method and Auto-EF. LVEF obtained by the two groups of operators were then compared.RESULTS: EF values assessed with Simpson's method showed a moderate correlation (r=0.70, P<0.01) between inexperienced and experienced operators. The Bland-Altman analysis showed a mean bias of 0.3% with limits of agreement (LoA) from -24.4 to +25.1%. Values obtained with Auto-EF showed a good correlation (r=0.94, P<0.01) with a mean bias of 0.2% and LoA from -10.1 to +10.4%.CONCLUSIONS: Due to its semiautomatic nature, for inexpert operators Auto-EF seems more reproducible than the traditional Simpson's method for monitoring left ventricular function in critically ill patients.

Franchi, F., Cameli, M., Taccone, F.S., Mazzetti, L., Bigio, E., Contorni, M., et al. (2018). Assessment of left ventricular ejection fraction in critically ill patients at the time of speckle tracking echocardiography: Intensivists in training for echocardiography versus experienced operators. MINERVA ANESTESIOLOGICA, 84(11), 1270-1278 [10.23736/S0375-9393.18.12249-8].

Assessment of left ventricular ejection fraction in critically ill patients at the time of speckle tracking echocardiography: Intensivists in training for echocardiography versus experienced operators

Franchi F.;Cameli M.;Bigio E.;Mondillo S.;Scolletta S.
2018-01-01

Abstract

BACKGROUND: The biplane Simpson's method is considered the gold standard to assess and monitor left ventricular (LV) ejection fraction (EF) in critically ill patients. Recently, a new semi-automatic technique based on speckle tracking echocardiography called "Auto-EF" has been introduced. We compared LVEF values obtained with biplane Simpson's method and Auto-EF by two groups of operators: trainee echocardiography intensivists and experienced echocardiographers.METHODS: A standard transthoracic echocardiography was performed on 37 patients. According to image quality 29 patients were selected. Each inexperienced and experienced operator executed an off-line analysis using both Simpson's method and Auto-EF. LVEF obtained by the two groups of operators were then compared.RESULTS: EF values assessed with Simpson's method showed a moderate correlation (r=0.70, P<0.01) between inexperienced and experienced operators. The Bland-Altman analysis showed a mean bias of 0.3% with limits of agreement (LoA) from -24.4 to +25.1%. Values obtained with Auto-EF showed a good correlation (r=0.94, P<0.01) with a mean bias of 0.2% and LoA from -10.1 to +10.4%.CONCLUSIONS: Due to its semiautomatic nature, for inexpert operators Auto-EF seems more reproducible than the traditional Simpson's method for monitoring left ventricular function in critically ill patients.
2018
Franchi, F., Cameli, M., Taccone, F.S., Mazzetti, L., Bigio, E., Contorni, M., et al. (2018). Assessment of left ventricular ejection fraction in critically ill patients at the time of speckle tracking echocardiography: Intensivists in training for echocardiography versus experienced operators. MINERVA ANESTESIOLOGICA, 84(11), 1270-1278 [10.23736/S0375-9393.18.12249-8].
File in questo prodotto:
File Dimensione Formato  
Assessment-of-left-ventricular-Franchi-2018.pdf

non disponibili

Tipologia: PDF editoriale
Licenza: NON PUBBLICO - Accesso privato/ristretto
Dimensione 446.42 kB
Formato Adobe PDF
446.42 kB Adobe PDF   Visualizza/Apri   Richiedi una copia

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1086721