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Adjustable Annuloplasty for Tricuspid Insufficiency

descriptionPublicationkeyboard_double_arrow_right Article 01 Oct 1987Publisher:Elsevier BVJournal:The Annals of Thoracic Surgery, volume 44, pages 404-406 (issn: 0003-4975,

Authors: Eric A. Rose; James R. Malm; Paul Kurlansky;

doi: 10.1016/s0003-4975(10)63801-5 , 10.1016/s0003-4975(10)62891-3 , 10.1016/s0003-4975(10)65957-7

pmid: 3310934 , 2673089

Adjustable Annuloplasty for Tricuspid Insufficiency

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Abstract

De Vega described a technique for tricuspid annuloplasty using synthetic suture to reduce the size of the dilated annulus. We present our experience with an adjustable modification of de Vega's suture annuloplasty technique. The records of 12 patients followed for 15 to 30 months were reviewed. All 10 survivors had a significant drop in right-sided filling pressure (average, 39% decrease) and an associated improvement in clinical status. The 2 deaths in the series were not related to persistent tricuspid insufficiency. This technique represents a reliable, rapid, and readily teachable method for the surgical management of tricuspid insufficiency.

Related Organizations

University of Chicago
United States
University Physicians
United States

Keywords

Intraoperative Period, Suture Techniques, Hemodynamics, Humans, Tricuspid Valve, Tricuspid Valve Insufficiency

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	20
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%