Development and validation of an echocardiographic algorithm to predict long-term mitral and tricuspid regurgitation progression Article Swipe
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· 2021
· Open Access
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· DOI: https://doi.org/10.1093/ehjci/jeab254
Aims Prediction of mitral (MR) and tricuspid (TR) regurgitation progression on transthoracic echocardiography (TTE) is needed to personalize valvular surveillance intervals and prognostication. Methods and results Structured TTE report data at Beth Israel Deaconess Medical Center, 26 January 2000–31 December 2017, were used to determine time to progression (≥1+ increase in severity). TTE predictors of progression were used to create a progression score, externally validated at Massachusetts General Hospital, 1 January 2002–31 December 2019. In the derivation sample (MR, N = 34 933; TR, N = 27 526), only 5379 (15.4%) individuals with MR and 3630 (13.2%) with TR had progression during a median interquartile range) 9.0 (4.1–13.4) years of follow-up. Despite wide inter-individual variability in progression rates, a score based solely on demographics and TTE variables identified individuals with a five- to six-fold higher rate of MR/TR progression over 10 years (high- vs. low-score tertile, rate of progression; MR 20.1% vs. 3.3%; TR 21.2% vs. 4.4%). Compared to those in the lowest score tertile, those in the highest tertile of progression had a four-fold increased risk of mortality. On external validation, the score demonstrated similar performance to other algorithms commonly in use. Conclusion Four-fifths of individuals had no progression of MR or TR over two decades. Despite wide interindividual variability in progression rates, a score, based solely on TTE parameters, identified individuals with a five- to six-fold higher rate of MR/TR progression. Compared to the lowest tertile, individuals in the highest score tertile had a four-fold increased risk of mortality. Prediction of long-term MR/TR progression is not only feasible but prognostically important.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1093/ehjci/jeab254
- OA Status
- green
- Cited By
- 5
- References
- 29
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3217764233
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W3217764233Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1093/ehjci/jeab254Digital Object Identifier
- Title
-
Development and validation of an echocardiographic algorithm to predict long-term mitral and tricuspid regurgitation progressionWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2021Year of publication
- Publication date
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2021-11-12Full publication date if available
- Authors
-
Jordan B. Strom, Yuansong Zhao, Changyu Shen, Jason H. Wasfy, Jiaman Xu, Evin Yucel, Varsha K. Tanguturi, Patrick M Hyland, Lawrence Markson, Dhruv S. Kazi, Jinghan Cui, Judy Hung, Robert W. Yeh, Warren J. ManningList of authors in order
- Landing page
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https://doi.org/10.1093/ehjci/jeab254Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
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greenOpen access status per OpenAlex
- OA URL
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https://www.ncbi.nlm.nih.gov/pmc/articles/9989598Direct OA link when available
- Concepts
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Term (time), Cardiology, Regurgitation (circulation), Internal medicine, Medicine, Mitral regurgitation, Algorithm, Computer science, Physics, Quantum mechanicsTop concepts (fields/topics) attached by OpenAlex
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5Total citation count in OpenAlex
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2024: 1, 2023: 3, 2022: 1Per-year citation counts (last 5 years)
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29Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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