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

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

Abstract 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 PC...

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Bibliographic Details
Main Authors: Xue-bin Wang, Ning-hua Cui, Xia’nan Liu
Format: Article
Language:English
Published: BMC 2022-07-01
Series:Cardiovascular Diabetology
Subjects:
Metabolomics
Type 2 diabetes
Clinical outcomes after PCI
Prediction model
NAD metabolites
Online Access:https://doi.org/10.1186/s12933-022-01561-1

Internet

https://doi.org/10.1186/s12933-022-01561-1

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