NMR metabolomics for cardiovascular-kidney-metabolic risk stratification in an integrated healthcare system
Chacon-Barahona, J.; Iribarren, C.; Rana, J. S.; Rinetti Vargas, G.; Rowell, S.; Elemento, O.; Suhre, K.; Absher, D.; Krumsiek, J.
Show abstract
Metabolomic profiling predicts future disease in population cohorts, but its value in real-world healthcare remains uncertain. We profiled 250 nuclear magnetic resonance (NMR) biomarkers in 54,933 participants from a diverse integrated US healthcare system linked to longitudinal electronic health records, evaluating nine cardiovascular-kidney-metabolic disease endpoints. Adding NMR to standard-of-care predictors improved discrimination for nearly all endpoints, with the largest gains for type 2 diabetes, chronic kidney disease and metabolic dysfunction-associated steatotic liver disease. Beyond disease onset, NMR improved prediction of disease-specific complications and cross-organ outcomes. Gains persisted across demographic, anthropometric, and genetic-risk strata and were greatest where standard-of-care prediction was weakest. NMR-enhanced models generally preserved calibration, improved high-risk enrichment and increased decision-curve net benefit. Together, these findings support NMR metabolomics as a common approach to risk stratification across the cardiovascular-kidney-metabolic disease continuum and illustrate how NMR-enhanced risk estimates could be integrated with longitudinal clinical information.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Minimal Correlation but Complementary Diagnostic Utility for Plasma Cell-free RNA and Proteins 91%
- Deep Proteome Profiling of Metabolic Dysfunction-Associated Steatotic Liver Disease 90%
- The Interpretable Multimodal Machine Learning (IMML) framework reveals pathological signatures of distal sensorimotor polyneuropathy 90%
Similar papers in this journal
- Association of machine learning-derived measures of body fat distribution with cardiometabolic diseases in >40,000 individuals 92%
- Novel mediation analysis of human plasma proteome and metabolome reveals mediators of improved glycemia after gastric bypass surgery 91%
- Genome-wide characterization of 54 urinary metabolites reveals molecular impact of kidney function 91%
Similar papers in this journal
- Estimating body fat distribution – a driver of cardiometabolic health – from silhouette images 92%
- Cohort Design and Natural Language Processing to Reduce Bias in Electronic Health Records Research: The Community Care Cohort Project 89%
- Novel clinical subphenotypes in COVID-19: derivation, validation, prediction, temporal patterns, and interaction with social determinants of health 89%
Similar papers in this journal
Similar papers in this journal
- Nuclear magnetic resonance-based metabolomics with machine learning for predicting progression from prediabetes to diabetes 91%
- An atlas of associations between polygenic risk scores from across the human phenome and circulating metabolic biomarkers 90%
- Gut Microbial Trimethylamine is Elevated in Alcohol-Associated Hepatitis and Contributes to Ethanol-Induced Liver Injury in Mice 89%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.