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A novel numerical model of combination levels of C-peptide and insulin in coronary artery disease risk prediction
Author(s) -
Hao Dai,
Qi Fu,
Heng Chen,
Mei Zhang,
Min Sun,
Yong Gu,
Ningtian Zhou,
Tao Yang
Publication year - 2021
Publication title -
mathematical biosciences and engineering
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.451
H-Index - 45
eISSN - 1551-0018
pISSN - 1547-1063
DOI - 10.3934/mbe.2021136
Subject(s) - insulin resistance , medicine , coronary artery disease , endocrinology , insulin , diabetes mellitus , homeostasis , cardiology
Insulin resistance is a major risk factor for coronary artery disease (CAD). The C-peptide-to-insulin ratio (C/I) is associated with hepatic insulin clearance and insulin resistance. The current study was designed to establish a novel C/I index (CPIRI) model and provide early risk assessment of CAD.

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