BACKGROUND: Invasive functional assessment is a mainstay in the management of patients with coronary artery disease (CAD), but there is uncertainty on the comparative accuracy of diagnostic indices of functional significance. We aimed to validate the diagnostic performance of a novel non-hyperemic diastolic pressure ratio (dPR). METHODS: We performed a retrospective analysis including two separate registries (VERIFY 2, Latina, Italy) of patients in whom functional indices were measured for lesions with angiographically moderate severity. On top of fractional flow reserve, distal coronary pressure (Pd)/aortic pressure (Pa) ratio, instantaneous wave-free ratio (iFR) and diastolic pressure ratio (dPR) were computed using a novel dedicated algorithm over 4 consecutive beats. Agreement/discrepancy between indexes was appraised Bland-Altman analysis, area under the receiver operating charac-teristic curve (AUC), and unsupervised machine learning. RESULTS: A total of 525 lesions from 479 patients were included. The novel dPR was highly correlated with iFR (R2=0.99, P<0.001), with a mean difference of -0.004±0.014. The diagnostic performance of dPR (best cutoff value: ≤0.89) against iFR was as follows: Accuracy =96%; sen-sitivity =94%; specificity =97%; positive-predictive value =94%; and negative-predictive value =96%. Additionally, AUC to predict iFR≤0.89 was 0.99, which was significantly higher than that of Pd/Pa (0.97, P<0.001). In the iFR range of 0.85-0.93 ("grey zone"), the diagnostic perfor-mance was well maintained (accuracy =91%; sensitivity =87%; specificity =93%; and AUC=0.96). Results were supported also by unsupervised learning analysis. CONCLUSIONS: This multicenter registry suggests this novel dPR algorithm provides results that are numerically equivalent to iFR. Pending further studies, physicians may consider using this novel dPR algorithm to gauge the functional significance of a coronary lesion. (Cite this article as: Versaci F, Conte M, van't Veer M, Lalancette S, Oldroyd K, Calcagno S, et al. a novel algorithm for the computation of the diastolic pressure ratio in the invasive assessment of the functional significance of coronary artery disease.

A novel algorithm for the computation of the diastolic pressure ratio in the invasive assessment of the functional significance of coronary artery disease / Versaci, F.; Conte, M.; van 'Tveer, M.; Lalancette, S.; Oldroyd, K.; Calcagno, S.; Zoccai, G. B.. - In: PANMINERVA MEDICA. - ISSN 0031-0808. - 63:2(2021), pp. 206-213. [10.23736/S0031-0808.20.04202-0]

A novel algorithm for the computation of the diastolic pressure ratio in the invasive assessment of the functional significance of coronary artery disease

Calcagno S.;Zoccai G. B.
2021

Abstract

BACKGROUND: Invasive functional assessment is a mainstay in the management of patients with coronary artery disease (CAD), but there is uncertainty on the comparative accuracy of diagnostic indices of functional significance. We aimed to validate the diagnostic performance of a novel non-hyperemic diastolic pressure ratio (dPR). METHODS: We performed a retrospective analysis including two separate registries (VERIFY 2, Latina, Italy) of patients in whom functional indices were measured for lesions with angiographically moderate severity. On top of fractional flow reserve, distal coronary pressure (Pd)/aortic pressure (Pa) ratio, instantaneous wave-free ratio (iFR) and diastolic pressure ratio (dPR) were computed using a novel dedicated algorithm over 4 consecutive beats. Agreement/discrepancy between indexes was appraised Bland-Altman analysis, area under the receiver operating charac-teristic curve (AUC), and unsupervised machine learning. RESULTS: A total of 525 lesions from 479 patients were included. The novel dPR was highly correlated with iFR (R2=0.99, P<0.001), with a mean difference of -0.004±0.014. The diagnostic performance of dPR (best cutoff value: ≤0.89) against iFR was as follows: Accuracy =96%; sen-sitivity =94%; specificity =97%; positive-predictive value =94%; and negative-predictive value =96%. Additionally, AUC to predict iFR≤0.89 was 0.99, which was significantly higher than that of Pd/Pa (0.97, P<0.001). In the iFR range of 0.85-0.93 ("grey zone"), the diagnostic perfor-mance was well maintained (accuracy =91%; sensitivity =87%; specificity =93%; and AUC=0.96). Results were supported also by unsupervised learning analysis. CONCLUSIONS: This multicenter registry suggests this novel dPR algorithm provides results that are numerically equivalent to iFR. Pending further studies, physicians may consider using this novel dPR algorithm to gauge the functional significance of a coronary lesion. (Cite this article as: Versaci F, Conte M, van't Veer M, Lalancette S, Oldroyd K, Calcagno S, et al. a novel algorithm for the computation of the diastolic pressure ratio in the invasive assessment of the functional significance of coronary artery disease.
2021
algorithms; coronary artery disease; fractional flow reserve, myocardial
01 Pubblicazione su rivista::01a Articolo in rivista
A novel algorithm for the computation of the diastolic pressure ratio in the invasive assessment of the functional significance of coronary artery disease / Versaci, F.; Conte, M.; van 'Tveer, M.; Lalancette, S.; Oldroyd, K.; Calcagno, S.; Zoccai, G. B.. - In: PANMINERVA MEDICA. - ISSN 0031-0808. - 63:2(2021), pp. 206-213. [10.23736/S0031-0808.20.04202-0]
File allegati a questo prodotto
File Dimensione Formato  
Versaci_Novel-algorithm_2021.pdf

accesso aperto

Note: https://www.minervamedica.it/en/journals/panminerva-medica/article.php?cod=R41Y2021N02A0206
Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 1.27 MB
Formato Adobe PDF
1.27 MB Adobe PDF

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/11573/1578543
Citazioni
  • ???jsp.display-item.citation.pmc??? 1
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 2
social impact