DETECT-AS Study: Digital Biomarkers for Aortic Stenosis Progression — Precision Monitoring in Older Adults

References

1. 1.Yale University. (2024). Deep Learning-enhanced Personalized Monitoring of Aortic Stenosis - The DETECT-AS Prognostic Study. ClinicalTrials.gov. https://clinicaltrials.gov/study/NCT06749132
2. 2.Otto, C. M., Nishimura, R. A., Bonow, R. O., Carabello, B. A., Erwin, J. P., Gentile, F., Jneid, H., Krieger, E. V., Mack, M., McLeod, C., O'Gara, P. T., Rigolin, V. H., Sundt, T. M., Thompson, A., & Toly, C. (2021). 2020 ACC/AHA Guideline for the Management of Patients With Valvular Heart Disease. Circulation, 143(5), e72-e227. https://doi.org/10.1161/CIR.0000000000000923
3. 3.Lindman, B. R., Clavel, M. A., Mathieu, P., Iung, B., Lancellotti, P., Otto, C. M., & Pibarot, P. (2016). Calcific aortic stenosis. Nature Reviews Disease Primers, 2, 16006. https://doi.org/10.1038/nrdp.2016.6
4. 4.Baumgartner, H., Hung, J., Bermejo, J., Chambers, J. B., Edvardsen, T., Goldstein, S., Lancellotti, P., LeFevre, M., Miller, F., & Otto, C. M. (2017). Recommendations on the Echocardiographic Assessment of Aortic Valve Stenosis. European Heart Journal, 38(4), 254-275. https://doi.org/10.1093/ehjci/jew335
5. 5.Rosenhek, R., Zilberszac, R., Schemper, M., Czerny, M., Mundigler, G., Graf, S., Bergler-Klein, J., Grimm, M., Gabriel, H., & Maurer, G. (2010). Natural history of very severe aortic stenosis. Circulation, 121(1), 151-156. https://doi.org/10.1161/CIRCULATIONAHA.109.894170
6. 6.Strange, G., Stewart, S., Celermajer, D., Prior, D., Scalia, G. M., Marwick, T., Ilton, M., Joseph, M., Codde, J., & Playford, D. (2019). Poor Long-Term Survival in Patients With Moderate Aortic Stenosis. Journal of the American College of Cardiology, 74(15), 1851-1863. https://doi.org/10.1016/j.jacc.2019.04.023