The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure Subtypes
Open accessAbstract
Background—: Heart failure (HF) is a prevalent and deadly disease, and preventive strategies focused on at-risk individuals are needed. Current HF prediction models have not examined HF subtypes. We sought to develop and validate risk prediction models for HF with preserved and reduced ejection fraction (HFpEF, HFrEF). Methods and Results—: Of 28,820 participants from 4 community-based cohorts, 982 developed incident HFpEF and 909 HFrEF during a median follow-up of 12 years. Three cohorts were combined, and a 2:1 random split was used for derivation and internal validation, with the fourth cohort as external validation. Models accounted for multiple competing risks (death, other HF subtype, and unclassified HF). The HFpEF-specific model included age, sex, systolic blood pressure, body mass index, antihypertensive treatment, and previous myocardial infarction; it had good discrimination in derivation (c-statistic 0.80; 95% confidence interval [CI], 0.78–0.82) and validation samples (internal: 0.79; 95% CI, 0.77–0.82 and external: 0.76; 95% CI: 0.71–0.80). The HFrEF-specific model additionally included smoking, left ventricular hypertrophy, left bundle branch block, and diabetes mellitus; it had good discrimination in derivation (c-statistic 0.82; 95% CI, 0.80–0.84) and validation samples (internal: 0.80; 95% CI, 0.78–0.83 and external: 0.76; 95% CI, 0.71–0.80). Age was more strongly associated with HFpEF, and male sex, left ventricular hypertrophy, bundle branch block, previous myocardial infarction, and smoking with HFrEF ( P value for each comparison ≤0.02). Conclusions—: We describe and validate risk prediction models for HF subtypes and show good discrimination in a large sample. Some risk factors differed between HFpEF and HFrEF, supporting the notion of pathogenetic differences among HF subtypes.
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Cites
A Proportional Hazards Model for the Subdistribution of a Competing Risk
Fine, J. P., & Gray, R. J. (1999) · Journal of the American Statistical Association · doi:10.1080/01621459.1999.10474144 · Cited by 14,290
2013 ACCF/AHA Guideline for the Management of Heart Failure
Yancy, C. W., Jessup, M., Bozkurt, B., Butler, J., Casey, D. E., Drazner, M. H., Fonarow, G. C., Geraci, S. A., Horwich, T., Januzzi, J. L., et al. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.05.019 · Cited by 12,536
2013 ACC/AHA Guideline on the Assessment of Cardiovascular Risk
Goff, D. C., Lloyd-Jones, D. M., Bennett, G., Coady, S., D’Agostino, R. B., Gibbons, R., Greenland, P., Lackland, D. T., Levy, D., O’Donnell, C. J., et al. (2014) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.11.005 · Cited by 4,945
Self-citationLloyd-Jones, D. M., Hong, Y., Labarthe, D., Mozaffarian, D., Appel, L. J., Van Horn, L., Greenlund, K., Daniels, S., Nichol, G., Tomaselli, G. F., et al. (2010) · Circulation · doi:10.1161/circulationaha.109.192703 · Cited by 4,750
A Novel Paradigm for Heart Failure With Preserved Ejection Fraction
Paulus, W. J., & Tschöpe, C. (2013) · Journal of the American College of Cardiology · doi:10.1016/j.jacc.2013.02.092 · Cited by 3,564
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The Epidemiology of Asymptomatic Left Ventricular Systolic Dysfunction: Implications for Screening
Wang, T. J., Levy, D., Benjamin, E. J., & Vasan, R. S. (2003) · Annals of Internal Medicine · doi:10.7326/0003-4819-138-11-200306030-00012 · Cited by 229
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Cited by
Heart Disease and Stroke Statistics—2023 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Beaton, A. Z., Boehme, A. K., Buxton, A. E., et al. (2023) · Circulation · doi:10.1161/cir.0000000000001123 · Cited by 8,300
Self-citationHeart Disease and Stroke Statistics—2022 Update: A Report From the American Heart Association
Tsao, C. W., Aday, A. W., Almarzooq, Z. I., Alonso, A., Beaton, A. Z., Bittencourt, M. S., Boehme, A. K., Buxton, A. E., Carson, A. P., Commodore-Mensah, Y., et al. (2022) · Circulation · doi:10.1161/cir.0000000000001052 · Cited by 5,987
Self-citationMartin, S. S., Aday, A. W., Almarzooq, Z. I., Anderson, C. A. M., Arora, P., Avery, C. L., Baker-Smith, C. M., Barone Gibbs, B., Beaton, A. Z., Boehme, A. K., et al. (2024) · Circulation · doi:10.1161/cir.0000000000001209 · Cited by 2,800
Groenewegen, A., Rutten, F. H., Mosterd, A., & Hoes, A. W. (2020) · European Journal of Heart Failure · doi:10.1002/ejhf.1858 · Cited by 2,043
High blood pressure and cardiovascular disease
Fuchs, F. D., & Whelton, P. K. (2020) · Hypertension · doi:10.1161/hypertensionaha.119.14240 · Cited by 1,948
Metadata
- Authors
- Ho, J. E., Enserro, D., Brouwers, F. P., Kizer, J. R., Shah, S. J., Psaty, B. M., Bartz, T. M., Santhanakrishnan, R., Lee, D. S., Chan, C., Liu, K., Blaha, M. J., Hillege, H. L., van der Harst, P., van Gilst, W. H., Kop, W. J., Gansevoort, R. T., Vasan, R. S., Gardin, J. M., Levy, D., Gottdiener, J. S., de Boer, R. A., & Larson, M. G.
- Venue
- Circulation: Heart Failure
- Published
- 2016-06
- Volume
- 9
- Issue
- 6
- ISSN
- 1941-3289 (ISSN-L)
- 1941-3297
- OpenAlex
- W2556053991
- Cited by
- 362
- References
- 7
- FWCI
- 16.93
- Type
- journal article
- Language
- en
- Open access
- green
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- Ho, J. E., Enserro, D., Brouwers, F. P., Kizer, J. R., Shah, S. J., Psaty, B. M., Bartz, T. M., Santhanakrishnan, R., Lee, D. S., Chan, C., Liu, K., Blaha, M. J., Hillege, H. L., van der Harst, P., van Gilst, W. H., Kop, W. J., Gansevoort, R. T., Vasan, R. S., Gardin, J. M., . . . Larson, M. G. (2016). Predicting Heart Failure With Preserved and Reduced Ejection Fraction: The International Collaboration on Heart Failure Subtypes. Circulation: Heart Failure. https://doi.org/10.1161/circheartfailure.115.003116
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
