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Real-World Evidence Publications in Cardiovascular Disease

egnite’s bibliography brings together the cardiovascular real-world evidence generated from egnite data, including peer-reviewed articles, conference abstracts, and a patent. Each study draws on the egnite Registry, a de-identified and longitudinal patient database derived from unified data used daily in patient care. To explore a research collaboration or registry access, visit the egnite Registry or contact our team.

Peer-Reviewed Articles

  1. Peterson BE, Généreux P, Shah P, et al. Mitral regurgitation and severe aortic stenosis: clinical characteristics, prognostic impact, and response to TAVR: insights from egnite data. Circ Cardiovasc Interv. Published online September 11, 2026. doi:10.1161/CIRCINTERVENTIONS.126.016578. PMID: 42723621.
  2. Généreux P, Pellikka PA, Lindman BR, et al. Acute valve syndrome in aortic stenosis. Struct Heart. 2025;9(4):100377. doi:10.1016/j.shj.2024.100377. PMID: 40321310. (Published online October 2024; presented at TCT 2024.)
  3. Généreux P, Amoroso NS, Thourani VH, et al. Mortality burden for patients with untreated aortic regurgitation. JACC Adv. 2024;3(10):101228. doi:10.1016/j.jacadv.2024.101228. PMID: 39296816. (ACC.24 abstract: entry 3.)
  4. Amoroso NS, Sharma RP, Généreux P, Pinto DS, Dobbles M, Thourani VH, Gillam LD. Clinical journey for patients with aortic regurgitation: a retrospective observational study from a multicenter database. Catheter Cardiovasc Interv. 2024;104:145-154. doi:10.1002/ccd.31085. PMID: 38764317. (Presented at TVT 2023: The Structural Heart Summit; June 7-10, 2023; Phoenix, AZ.)
  5. Mignone JL, Alexander KM, Dobbles M, Eberst K, Fonarow GC, Ellenbogen KA. Outcomes with guideline-directed medical therapy and cardiac implantable electronic device therapies for patients with heart failure with reduced ejection fraction. Heart Rhythm O2. 2024;5(3):168-173. doi:10.1016/j.hroo.2024.01.004. (Heart Rhythm 2023 abstract: entry 5.)
  6. Asch FM, Sharma RP, Cubeddu RJ, et al. Response to letter to the editor: can we use an algorithm as an “Ariadne’s thread” to escape the maze of mitral regurgitation phenotype? J Am Soc Echocardiogr. 2024;37(3). doi:10.1016/j.echo.2023.10.005. PMID: 37839617.
  7. Asch FM, Sharma RP, Cubeddu RJ, Généreux P, Dobbles M, Verhoef K, Kwon M, Rodriguez E, Thomas JD, Gillam LD. Gaps in contemporary echocardiographic reporting quality for mechanisms of mitral regurgitation: a call to action. J Am Soc Echocardiogr. 2024;37(1):108-110. doi:10.1016/j.echo.2023.08.021.
  8. Généreux P, Sharma RP, Cubeddu RJ, et al. The mortality burden of untreated aortic stenosis. J Am Coll Cardiol. 2023;82(22):2101-2109. doi:10.1016/j.jacc.2023.09.796. PMID: 37877909. (Presented at TCT 2023; full manuscript of the ACC.23 abstract in entry 6.)
  9. Moualla SK, McCarthy PM, Thomas JD, Dobbles M, Petrescu OM, Loper T, Barnhart GR, Brennan JM. Artificial intelligence-enabled predictive model of progression from moderate to severe aortic stenosis. Intell Based Med. 2022;6:100062. doi:10.1016/j.ibmed.2022.100062. (TCT 2021 abstract: entry 10.)
  10. Thomas JD, Petrescu OM, Moualla SK, Dobbles M, Hays JC, Rodriguez E, Barnhart GR. Artificial intelligence to assist physicians in identifying patients with severe aortic stenosis. Intell Based Med. 2022;6:100059. doi:10.1016/j.ibmed.2022.100059.

Conference Abstracts

  1. Peterson B, Shah P, Kaneko T, et al. 72219 | Gaps in treatment for concurrent aortic stenosis and mitral regurgitation: U.S. trends from egnite data [abstract]. Struct Heart. 2025;9(suppl). (TVT 2025, June 2025.)
  2. Vemulapalli S, et al. Contemporary diagnosis, management, and outcomes of patients with low-gradient severe aortic stenosis: a multi-center analysis [abstract 4147314]. Circulation. 2024;150(suppl 1):4147314. doi:10.1161/circ.150.suppl_1.4147314. (AHA Scientific Sessions 2024.)
  3. Généreux P, Amoroso NS, Thourani V, et al. Mortality burden for patients with untreated aortic regurgitation [abstract]. J Am Coll Cardiol. 2024;83(13 suppl). (ACC.24; April 6-8, 2024; Atlanta, GA. Full manuscript: entry 3.)
  4. Sharma R, Cubeddu R, Généreux P, Eberst K, Rodriguez E, Gillam L. Contemporary practice patterns and outcomes for patients with mitral regurgitation: results from a large multicenter real-world database [abstract]. J Am Coll Cardiol. 2023;82(17 suppl B):B179-B180. doi:10.1016/j.jacc.2023.09.456. (Presented at TCT 2023; October 23-26, 2023; San Francisco, CA.)
  5. Mignone JL, Alexander KM, Dobbles M, et al. Outcomes with guideline-directed medical therapy and cardiac implantable electronic device therapies for patients with heart failure with reduced ejection fraction [abstract MP-453089-9]. Heart Rhythm. 2023;20(5 suppl):S138. doi:10.1016/j.hrthm.2023.03.483. (Presented at Heart Rhythm 2023, HRS 44th Annual Meeting; May 19-21, 2023; New Orleans, LA. Full manuscript: entry 5.)
  6. Généreux P, Sharma RP, Cubeddu RJ, Kapadia SR, Makkar RR, Thourani VH, Cohen DJ, Dobbles M, Barnhart G, Leon MB, Gillam LD. Untreated aortic stenosis mortality by diagnosis severity: results from a large real-world database [abstract]. J Am Coll Cardiol. 2023;81(8 suppl):1989. doi:10.1016/S0735-1097(23)02433-6. (Poster, ACC.23/WCC; March 4-6, 2023; New Orleans, LA. Full manuscript: entry 8.)
  7. Généreux P, Sharma RP, Cubeddu RJ, Kapadia SR, Thourani VH, Makkar RR, Cohen DJ, Dobbles M, Barnhart G, Leon MB, Gillam LD. Prognostic impact of cardiac damage across the spectrum of aortic stenosis severity: results from a large real-world database [abstract]. J Am Coll Cardiol. 2023;81(8 suppl):1930. doi:10.1016/S0735-1097(23)02374-4. (Podium, ACC.23/WCC; March 4-6, 2023; New Orleans, LA.)
  8. Généreux P, Sharma R, Cubeddu R, et al. TCT-404 Prognostic impact of cardiac damage across the spectrum of aortic stenosis severity: results from a large real-world database [abstract]. J Am Coll Cardiol. 2022;80(12 suppl). (TCT 2022.)
  9. Brennan JM, Petrescu M, McCarthy PM, Moualla S, Nance H, Barnhart G, Rodriguez E, Thomas JD. Contemporary prevalence of valvular heart disease & diagnostic variability across centers [abstract]. J Am Coll Cardiol. 2022;79(9 suppl):1723. doi:10.1016/S0735-1097(22)02714-0. (Poster, ACC.22; April 2-4, 2022; Washington, DC. Poster.)
  10. Moualla S, McCarthy P, Thomas J, Dobbles M, Petrescu M, Loper T, Barnhart G, Brennan M. TCT-58 Using artificial intelligence to predict the progression from moderate to severe aortic stenosis [abstract]. J Am Coll Cardiol. 2021;78(19 suppl S):B24. doi:10.1016/j.jacc.2021.09.908. (TCT 2021; November 4-6, 2021. Full manuscript: entry 9.)

Patent

  1. Verhoef K, Kwon M, inventors; egnite, Inc, assignee. Systems and methods for natural language processing-based classification of electronic medical records. US patent 12,580,057 B2. March 17, 2026.​

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