Remnant Cholesterol Inflammatory Index for Predicting Heart Failure Risk in Patients with Coronary Artery Disease and Type 2 Diabetes: A Retrospective Study Using Multiple Machine Learning Approaches

RCII is a valuable predictor of HF in patients with CAD and T2DM. Higher RCII levels are closely linked to an increased risk of HF.

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Publication Details

Journal
Risk Management and Healthcare Policy
Published
2025-12-01
DOI
https://doi.org/10.2147/rmhp.s566696
Citations
1
Primary Topic
Inflammatory Biomarkers in Disease Prognosis
Type
article
Field-Weighted Citation Impact
1.05
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article

Remnant Cholesterol Inflammatory Index for Predicting Heart Failure Risk in Patients with Coronary Artery Disease and Type 2 Diabetes: A Retrospective Study Using Multiple Machine Learning Approaches

Changjiang Zhang, Chaozhong Luo, Juan Du
1 citations
Risk Management and Healthcare Policy
Inflammatory Biomarkers in Disease Prognosis
1.05
article

Remnant Cholesterol Inflammatory Index for Predicting Heart Failure Risk in Patients with Coronary Artery Disease and Type 2 Diabetes: A Retrospective Study Using Multiple Machine Learning Approaches

Changjiang Zhang, Chaozhong Luo, Juan Du
article en
1 citations

Abstract

RCII is a valuable predictor of HF in patients with CAD and T2DM. Higher RCII levels are closely linked to an increased risk of HF.

Risk Management and Healthcare PolicyVol. Volume 18
Minda Hospital (CN)
Good health and well-being
Openalex Percentile: Top 15%
Inflammatory Biomarkers in Disease Prognosis
1.05
DOIOpen Access PDFOpenAlex
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Remnant Cholesterol Inflammatory Index for Predicting Heart Failure Risk in Patients with Coronary Artery Disease and Type 2 Diabetes: A Retrospective Study Using Multiple Machine Learning Approaches — Changjiang Zhang, Chaozhong Luo, et al. · Risk Management and Healthcare Policy (2025) | TGRS Research Map | TGRS