Tag: NT-proBNP

Cardiovascular Event Prediction by Machine Learning: The Multi-Ethnic Study of Atherosclerosis

This 2017 study utilized data from 6,814 participants in the Multi-Ethnic Study of Atherosclerosis (MESA) to evaluate the effectiveness of machine learning, specifically random survival forests, in predicting six cardiovascular outcomes over a 12-year follow-up. Incorporating 735 variables from imaging, biomarker panels, ECG, and questionnaires, the machine learning models outperformed

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Blood-borne biomarkers of mortality risk: systematic review of cohort studies

This systematic review analyzed 23 prospective cohort studies to identify blood-borne biomarkers predictive of mortality risk in adults aged 50–75 years. Out of 51 biomarkers examined, 20 were significantly associated with mortality. Notably, elevated levels of C-reactive protein (CRP) were linked to increased all-cause, cancer, and cardiovascular mortality. Similarly, higher

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