Matrix metalloproteinases and risk of cardiovascular mortality and morbidity in the United Kingdom: A prospective cohort study with machine learning analysis

Cardiovascular mortality and morbidity associated with matrix metalloproteinases shows significant risk elevation, underlining their role in heart health.
In the study, machine learning techniques identified key biomarkers, revealing how matrix metalloproteinases affect cardiovascular outcomes.

Do matrix metalloproteinases (MMPs) predict cardiovascular mortality and morbidity?

Population

United Kingdom cohort

Intervention

Matrix metalloproteinases (MMPs) assessment, particularly MMP-12 and MMP-7

Outcome

Cardiovascular mortality and morbidityhard clinical

An MMP-based model, particularly incorporating MMP-12 and MMP-7, shows potential for clinical risk stratification of cardiovascular disease.

MMPs, particularly MMP-12 and MMP-7, strongly predict CVD risk. The MMP-based model shows potential for clinical risk stratification.

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