A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals
Abstract
Predicting longer-term mortality risk requires collection of clinical data, which is often cumbersome. Therefore, we use a well-standardized metabolomics platform to identify metabolic predictors of long-term mortality in the circulation of 44,168 individuals (age at baseline 18–109), of whom 5512 died during follow-up. We apply a stepwise (forward-backward) procedure based on meta-analysis results and identify 14 circulating biomarkers...
Paper Details
Title
A metabolic profile of all-cause mortality risk identified in an observational study of 44,168 individuals
Published Date
Aug 20, 2019
Journal
Volume
10
Issue
1
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