Cargando…
Validation of the WATCH‐DM and TRS‐HF(DM) Risk Scores to Predict the Risk of Incident Hospitalization for Heart Failure Among Adults With Type 2 Diabetes: A Multicohort Analysis
BACKGROUND: The WATCH‐DM (weight [body mass index], age, hypertension, creatinine, high‐density lipoprotein cholesterol, diabetes control [fasting plasma glucose], ECG QRS duration, myocardial infarction, and coronary artery bypass grafting) and TRS‐HF(DM) (Thrombolysis in Myocardial Infarction [TIM...
Autores principales: | Segar, Matthew W., Patel, Kershaw V., Hellkamp, Anne S., Vaduganathan, Muthiah, Lokhnygina, Yuliya, Green, Jennifer B., Wan, Siu‐Hin, Kolkailah, Ahmed A., Holman, Rury R., Peterson, Eric D., Kannan, Vaishnavi, Willett, Duwayne L., McGuire, Darren K., Pandey, Ambarish |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9238735/ https://www.ncbi.nlm.nih.gov/pubmed/35656988 http://dx.doi.org/10.1161/JAHA.121.024094 |
Ejemplares similares
-
Response to Comment on Segar et al. Machine Learning to Predict the Risk of Incident Heart Failure Hospitalization Among Patients With Diabetes: The WATCH-DM Risk Score. Diabetes Care 2019;42:2298–2306
por: Segar, Matthew W., et al.
Publicado: (2020) -
DM-Ice
por: Seo, Seon-Hee
Publicado: (2011) -
Development and validation of a model to predict cardiovascular death, nonfatal myocardial infarction, or nonfatal stroke in patients with type 2 diabetes mellitus and established atherosclerotic cardiovascular disease
por: Stevens, Susanna R., et al.
Publicado: (2022) -
I-14
Molecular pathomechanism of DM2/PROMM:
similarities and differences between DM1 and
DM2
por: Meola, G.
Publicado: (2011) -
Consequences of DM/antiDM Oscillations for Asymmetric WIMP Dark Matter
por: Cirelli, Marco, et al.
Publicado: (2011)