Description and Validation of TAVIApp: A Novel Mobile Application for Support of Physicians in the Management of Aortic Stenosis—Management of Aortic Stenosis with TAVIApp.

Background. Aortic stenosis (AS) is the most common heart valve disease in developed countries. The advent of transcatheter aortic valve implantation (TAVI) significantly improved patients’ outcome but made clinical management more complex. The aim of the present study was to describe TAVIApp, a mob...

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Publicado en:BioMed Research International Vol. 2017; pp. 1 - 9
Autores principales: Indolfi, Ciro, Sabatino, Jolanda, De Rosa, Salvatore, Mongiardo, Annalisa, Ricci, Pietrantonio, Spaccarotella, Carmen
Formato: algorithm diagnostic images pictorial research tables/charts Journal Article
Publicado: Wiley-Blackwell 11/15/2017
Acceso en línea:Ver este registro en EBSCOhost
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      dt: 11/15/2017
      vid: 2017
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      pub: Wiley-Blackwell
      place: Malden, Massachusetts
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        126237730
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        10.1155/2017/9027597
        126237730
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        atl: Description and Validation of TAVIApp: A Novel Mobile Application for Support of Physicians in the Management of Aortic Stenosis—Management of Aortic Stenosis with TAVIApp.
      aug:
        au:
          Indolfi, Ciro
          Sabatino, Jolanda
          De Rosa, Salvatore
          Mongiardo, Annalisa
          Ricci, Pietrantonio
          Spaccarotella, Carmen
        affil: Division of Cardiology, Department of Medical and Surgical Sciences, Magna Græcia University, Catanzaro, Italy
      sug:
        subj:
          Aortic Valve Stenosis Therapy
          Mobile Applications Utilization
          Aortic Valve Stenosis Diagnosis
          Human
          Single-Blind Studies
          Cardiologists
          Interns and Residents
          kappa Statistic
          P-Value
          Heart Valve Prosthesis
          Decision Making, Clinical
          Patient Selection
      ab: Background. Aortic stenosis (AS) is the most common heart valve disease in developed countries. The advent of transcatheter aortic valve implantation (TAVI) significantly improved patients’ outcome but made clinical management more complex. The aim of the present study was to describe TAVIApp, a mobile app we developed to guide the management of AS, and test its efficacy. Methods and Results. Clinical cases comprising 42 patients with AS were blindly evaluated by (A) an interventional cardiologist, assisted by the Heart Team (EXPERT), (B) young residents in cardiology, and (C) a young resident supported by TAVIApp. There was poor concordance between Group A and Group B with low performance by young residents (k=0.52; p<0.001). However, concordance increased to an optimal value when young residents were supported by TAVIApp (k=1.0; p<0.001) for the diagnosis of severe AS and eligibility assessment. Furthermore, regarding the selection of the most appropriate prosthesis size, concordance to Group A was poor without TAVIApp support (Group B) (k=0.78; p=0.430), but excellent with TAVIApp (k=1.0; p<0.001). Conclusions. This study is the first describing and validating a new mobile application to support the management of AS. TAVIApp supports cardiologists in the evaluation of stenosis severity, eligibility for TAVI or AVR, and selection of the most appropriate prosthesis size in individual patients.
      pubtype: Academic Journal
      doctype:
        algorithm
        diagnostic images
        pictorial
        research
        tables/charts
        Journal Article
      ougenre: Article
    language: English
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