A novel 6-metabolite signature for prediction of clinical outcomes in type 2 diabetic patients undergoing percutaneous coronary intervention

BACKGROUND: Outcome prediction tools for patients with type 2 diabetes mellitus (T2DM) undergoing percutaneous coronary intervention (PCI) are lacking. Here, we developed a machine learning-based metabolite classifier for predicting 1-year major adverse cardiovascular events (MACEs) after PCI among...

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Detalles Bibliográficos
Autores principales: Wang, Xue-bin, Cui, Ning-hua, Liu, Xia’nan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254602/
https://www.ncbi.nlm.nih.gov/pubmed/35788230
http://dx.doi.org/10.1186/s12933-022-01561-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9254602/
https://www.ncbi.nlm.nih.gov/pubmed/35788230
http://dx.doi.org/10.1186/s12933-022-01561-1

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