Literature DB >> 36004126

Commentary: Stentless valve for bicuspid aortic valve replacement: Some answers just lead to more questions.

Charles M Wojnarski1, Robert J Moraca1.   

Abstract

Entities:  

Year:  2021        PMID: 36004126      PMCID: PMC9390319          DOI: 10.1016/j.xjon.2021.11.005

Source DB:  PubMed          Journal:  JTCVS Open        ISSN: 2666-2736


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Charles M. Wojnarski, MD, MS, and Robert J. Moraca, MD Anatomic and patient-specific variation exists between patients with bicuspid and tricuspid aortic valves, and these differences may impact durability of valve replacement choice. See Article page 177. In this issue of JTCVS Open, Brown and colleagues present a retrospective analysis of patients undergoing stentless aortic valve replacement for aortic stenosis and/or regurgitation in patients with bicuspid aortic valves (BAV) or tricuspid aortic valves (TAV). From 1992 to 2014, 1293 patients underwent stentless aortic valve replacement with modified inclusion technique at the University of Michigan and were followed for a median of 7.8 years (interquartile range, 4.2 years). The authors used propensity score matching to adjust for group differences and then performed Cox proportional hazard models and employed the Fine–Gray subdistribution method to compare survival and the cumulative incidence of reoperation due to structural valve deterioration with death as a competing risk. This is one of the largest single-institution series to date evaluating the aortic Freestyle prosthesis (Medtronic, Minneapolis, Minn) using the modified inclusion technique of implantation and the first to differentiate outcomes stratified by valve morphology. After matching, then multivariable adjustment, the authors reported that patients with BAV had better survival (hazard ratio, 0.71; 95% confidence interval [CI], 0.56-0.91, log-rank, P = .006) and similar hazard of reoperation over time (hazard ratio, 1.4; 95% CI, 0.8-2.6, log-rank P = .27). The authors also reported a greater incidence of reoperation in the patients with BAV at 15 years—15% (95% CI, 10%-22%) versus 11% (95% CI, 6.4%-17%) for patients with TAV (Gray test, P = .05). However, they chose to downplay the results of the cause-specific hazard model (above), which showed that after further adjustment for age, sex, and concomitant aortic surgery, there was no significant difference in hazard of reoperation over time between the 2 valve types. When interpreting the results of competing risk analyses, it is important to first understand what questions are being asked of the data. If one wants to simply estimate incidence for prognostic reasons, the Fine–Gray subdistribution method is appropriate; however, if one wants to delve deeper into addressing etiologic questions (such as the impact of BAV on need for reoperation when stentless valve is implanted), then cause-specific models should be sought out. Fortunately, the authors have presented both for the reader. Regardless of how one interprets the findings of this report, it is important to note that anatomic and patient-specific variation exists between patients with BAV and TAV, and these differences may impact durability of valve replacement choice. Finally, 258 patients (20%) in this series of 1298 patients had incomplete reoperation follow-up data, perhaps limiting the reproducibility/generalizability of their conclusions. Furthermore, although the authors collected data on the reason for reoperation including valve dysfunction, valve infection, valve thrombosis, or other (such as aortic aneurysm and pseudoaneurysm), they only defined and reported reoperations for valve dysfunction from structural valve deterioration. Several other series with the modified inclusion technique have shown similar structural valve deterioration rates over time but have also included non-structural valve deterioration reoperations, which may be related to the bioprosthesis choice.3, 4, 5 The group at University of Michigan has previously published on aortic valve reoperation for failed stentless bioprosthesis; interestingly, 75% of the patients in that cohort had BAV. This is quite higher than the established prevalence of BAV during isolated aortic valve replacement ≈50%. This was undoubtedly the impetus for the present analysis. Rather than comparing 2 distinct pathologic states (BAV vs TAV), it may be more practical for future study to address durability of stented versus stentless bioprostheses limited to patients with BAV to further help address the authors' hypothesis.
  6 in total

1.  Long-term results of Freestyle stentless bioprosthesis in the aortic position: a single-center prospective cohort of 500 patients.

Authors:  Nicolas Amabile; Olivier M Bical; Alexandre Azmoun; Ramzi Ramadan; Remi Nottin; Philippe H Deleuze
Journal:  J Thorac Cardiovasc Surg       Date:  2014-02-26       Impact factor: 5.209

2.  Frequency by decades of unicuspid, bicuspid, and tricuspid aortic valves in adults having isolated aortic valve replacement for aortic stenosis, with or without associated aortic regurgitation.

Authors:  William C Roberts; Jong M Ko
Journal:  Circulation       Date:  2005-02-14       Impact factor: 29.690

3.  Aortic Valve Reoperation After Stentless Bioprosthesis: Short- and Long-Term Outcomes.

Authors:  Bo Yang; Himanshu J Patel; Elizabeth L Norton; Christina Debenedictus; Linda Farhat; Xiaoting Wu; Kevin He; Whitney E Hornsby; Donald S Likosky; G Michael Deeb
Journal:  Ann Thorac Surg       Date:  2018-04-03       Impact factor: 4.330

4.  Long-term clinical and echocardiographic follow-up of the Freestyle stentless aortic bioprosthesis.

Authors:  Siamak Mohammadi; Vincent Tchana-Sato; Dimitri Kalavrouziotis; Pierre Voisine; Daniel Doyle; Richard Baillot; Sandro Sponga; Jacques Metras; Jean Perron; François Dagenais
Journal:  Circulation       Date:  2012-09-11       Impact factor: 29.690

5.  Long-term clinical outcomes 15 years after aortic valve replacement with the Freestyle stentless aortic bioprosthesis.

Authors:  David S Bach; Neal D Kon
Journal:  Ann Thorac Surg       Date:  2013-10-17       Impact factor: 4.330

6.  Covariate-adjusted survival analyses in propensity-score matched samples: Imputing potential time-to-event outcomes.

Authors:  Peter C Austin; Neal Thomas; Donald B Rubin
Journal:  Stat Methods Med Res       Date:  2018-12-20       Impact factor: 3.021

  6 in total

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