Literature DB >> 31491546

Poor Long-Term Survival in Patients With Moderate Aortic Stenosis.

Geoff Strange1, Simon Stewart2, David Celermajer3, David Prior4, Gregory M Scalia5, Thomas Marwick6, Marcus Ilton7, Majo Joseph8, Jim Codde9, David Playford10.   

Abstract

BACKGROUND: Historical data suggesting poor survival in patients with aortic stenosis (AS) who do not undergo treatment are largely confined to patients with severe AS.
OBJECTIVES: This study sought to determine the prognostic impact of all levels of native valvular AS.
METHODS: Severity of AS was characterized by convention and by statistical distribution in 122,809 male patients (mean age 61 ± 17 years) and 118,494 female patients (mean age 62 ± 19 years), with measured aortic valve (AV) mean gradient, peak velocity, and/or area. The relationship between AS severity and survival was then examined during median 1,208 days (interquartile range: 598 to 2,177 days) of follow-up. Patients with previous aortic valve intervention were excluded.
RESULTS: Overall, 16,129 (6.7%), 3,315 (1.4%), and 6,383 (2.6%) patients had mild, moderate, and severe AS, respectively. On an adjusted basis (vs. no AS; 5-year mortality 19%), patients with mild to severe AS had an increasing risk of long-term mortality (adjusted hazard ratio: 1.44 to 2.09; p < 0.001 for all comparisons). The 5-year mortality was 56% and 67%, respectively, in those with moderate AS (mean gradient 20.0 to 39.0 mm Hg/peak velocity 3.0 to 3.9 m/s) and severe AS (≥40.0 mm Hg, ≥4.0 m/s, or AV area <1.0 cm2 in low-flow, low-gradient severe AS). A markedly increased risk of death from all causes (5-year mortality >50%) and cardiovascular disease was evident from a mean AV gradient >20.0 mm Hg (moderate AS) after adjusting for age, sex, left ventricular systolic or diastolic dysfunction, and aortic regurgitation.
CONCLUSIONS: These data confirm that when left untreated, severe AS is associated with poor long-term survival. Moreover, they also suggest poor survival rates in patients with moderate AS. (National Echocardiographic Database of Australia [NEDA]; ACTRN12617001387314).
Copyright © 2019 American College of Cardiology Foundation. All rights reserved.

Entities:  

Keywords:  aortic stenosis; cohort; mortality

Mesh:

Year:  2019        PMID: 31491546     DOI: 10.1016/j.jacc.2019.08.004

Source DB:  PubMed          Journal:  J Am Coll Cardiol        ISSN: 0735-1097            Impact factor:   24.094


  45 in total

1.  Augmentation index predicts mortality in patients with aortic stenosis: an echo-tracking study.

Authors:  Olga Vriz; Paolo Palatini; Lucio Mos; Hani AlSergani; Igor Vendramin; Ugolino Livi; Francesco Antonini-Canterin; Julien Magne
Journal:  Int J Cardiovasc Imaging       Date:  2021-03-13       Impact factor: 2.357

Review 2.  Aortic Stenosis: New Insights in Diagnosis, Treatment, and Prevention.

Authors:  Saki Ito; Jae K Oh
Journal:  Korean Circ J       Date:  2022-10       Impact factor: 3.101

Review 3.  Evolving Indications of Transcatheter Aortic Valve Replacement-Where Are We Now, and Where Are We Going.

Authors:  Jules Mesnier; Vassili Panagides; Jorge Nuche; Josep Rodés-Cabau
Journal:  J Clin Med       Date:  2022-05-30       Impact factor: 4.964

4.  Predicting outcomes in patients with aortic stenosis using machine learning: the Aortic Stenosis Risk (ASteRisk) score.

Authors:  Mayooran Namasivayam; Paul D Myers; John V Guttag; Romain Capoulade; Philippe Pibarot; Michael H Picard; Judy Hung; Collin M Stultz
Journal:  Open Heart       Date:  2022-05

Review 5.  Valvular Heart Disease Epidemiology.

Authors:  John Sukumar Aluru; Adam Barsouk; Kalyan Saginala; Prashanth Rawla; Alexander Barsouk
Journal:  Med Sci (Basel)       Date:  2022-06-15

6.  Management of aortic stenosis: a systematic review of clinical practice guidelines and recommendations.

Authors:  Mohammed Y Khanji; Fabrizio Ricci; Victor Galusko; Baskar Sekar; C Anwar A Chahal; Laura Ceriello; Sabina Gallina; Simon Kennon; Wael I Awad; Adrian Ionescu
Journal:  Eur Heart J Qual Care Clin Outcomes       Date:  2021-07-21

7.  A Machine-Learning Framework to Identify Distinct Phenotypes of Aortic Stenosis Severity.

Authors:  Partho P Sengupta; Sirish Shrestha; Nobuyuki Kagiyama; Yasmin Hamirani; Hemant Kulkarni; Naveena Yanamala; Rong Bing; Calvin W L Chin; Tania A Pawade; David Messika-Zeitoun; Lionel Tastet; Mylène Shen; David E Newby; Marie-Annick Clavel; Phillippe Pibarot; Marc R Dweck
Journal:  JACC Cardiovasc Imaging       Date:  2021-05-19

8.  Artificial Intelligence Models Reveal Sex-Specific Gene Expression in Aortic Valve Calcification.

Authors:  Philip Sarajlic; Oscar Plunde; Anders Franco-Cereceda; Magnus Bäck
Journal:  JACC Basic Transl Sci       Date:  2021-04-14

Review 9.  Global epidemiology of valvular heart disease.

Authors:  Sean Coffey; Ross Roberts-Thomson; Alex Brown; Jonathan Carapetis; Mao Chen; Maurice Enriquez-Sarano; Liesl Zühlke; Bernard D Prendergast
Journal:  Nat Rev Cardiol       Date:  2021-06-25       Impact factor: 32.419

Review 10.  Moderate Aortic Stenosis: What is it and When Should We Intervene?

Authors:  Sveeta Badiani; Sanjeev Bhattacharyya; Nikoo Aziminia; Thomas A Treibel; Guy Lloyd
Journal:  Interv Cardiol       Date:  2021-05-27
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