Short-term prediction of coronary artery disease using serum metabolomic patterns

Ben Omega Petrazzini; Akhil Vaid; Joshua K Park; Carla Marquez-Luna; Ha My Vy; Aparna Saha; Kumardeep Chaudhary; Judy Cho; Lili Chan; Edgar Argulian; Jagat Narula; Girish Nadkarni; Ron Do

doi:10.1016/j.ahjo.2022.100232

Short-term prediction of coronary artery disease using serum metabolomic patterns

Am Heart J Plus. 2022 Dec:24:100232. doi: 10.1016/j.ahjo.2022.100232. Epub 2022 Nov 23.

Authors

Ben Omega Petrazzini^{1

2}, Akhil Vaid^{1

3

4}, Joshua K Park^{1

2

5}, Carla Marquez-Luna^{1

2}, Ha My Vy^{1

2}, Aparna Saha^{1

3

4}, Kumardeep Chaudhary^{1

2}, Judy Cho^{1

2}, Lili Chan^{1

3

4}, Edgar Argulian^{1

3}, Jagat Narula^{1

3}, Girish Nadkarni^{1

3

4

6}, Ron Do^{1

2

4}

Affiliations

¹ The Charles Bronfman Institute for Personalized Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
² Department of Genetics and Genomic Sciences, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
³ Department of Medicine, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
⁴ The BioMe Phenomics Center, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
⁵ Medical Scientist Training Program, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
⁶ The Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.

No abstract available

Keywords: Cardiovascular disease prevention; Coronary artery disease prediction; Machine learning; Personalised medicine; Pooled cohort equations; Serum metabolic patterns.

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