Multidisciplinary team approach for identifying potential candidate for transcatheter aortic valve implantation

Sung Jin Hong, Myeong Ki Hong, Young Guk Ko, Donghoon Choi, Geu Ru Hong, Jae Kwang Shim, Young Lan Kwak, Sak Lee, Byung Chul Chang, Yangsoo Jang

Research output: Contribution to journalArticle

7 Citations (Scopus)

Abstract

Purpose: We sought to evaluate the clinical usefulness of decision making by a multidisciplinary heart team for identifying potential candidates for transcatheter aortic valve implantation (TAVI) in patients with symptomatic severe aortic stenosis. Materials and Methods: The multidisciplinary team consisted of two interventional cardiologists, two cardiovascular surgeons, one cardiac imaging specialist, and two cardiac anesthesiologists. Results: Out of 60 patients who were screened as potential TAVI candidates, 31 patients were initially recommended as appropriate for TAVI, and 20 of these 31 eventually underwent TAVI. Twenty-two patients underwent surgical aortic valve replacement (AVR), and 17 patients received only medical treatment. Patients who underwent TAVI and medical therapy were older than those who underwent surgical AVR (p<0.001). The logistic Euroscore was significantly highest in the TAVI group and lowest in the surgical AVR group (p=0.012). Most patients in the TAVI group (90%) and the surgical AVR group (91%) had severe cardiac symptoms, but only 47% in the medical therapy group had severe symptoms. The cumulative percentages of survival without re-hospitalization or all-cause death at 6 months for the surgical AVR, TAVI, and medical therapy groups were 84%, 75%, and 28%, respectively (p=0.007, by log-rank). Conclusion: TAVI was recommended in half of the potential candidates following a multidisciplinary team approach and was eventually performed in one-third of these patients. One-third of the patients who were initially considered potential candidates received surgical AVR with favorable clinical outcomes.

Original languageEnglish
Pages (from-to)1246-1252
Number of pages7
JournalYonsei medical journal
Volume55
Issue number5
DOIs
Publication statusPublished - 2014 Sep

All Science Journal Classification (ASJC) codes

  • Medicine(all)

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