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Updated: May 17, 2025

Coronary Progenitor Cells and Soluble Biomarkers in Cardiovascular Prognosis after Coronary Angioplasty

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Advanced Lung Cancer Inflammation Index as a Predictor of Coronary Slow Flow Phenomenon in Patients with Angina and

Yu-Ting Jiang¹, Zhen-Ming Yan¹, Wei Gu¹

¹Department of Cardiology, General Hospital of Fushun Mining Bureau of Liaoning Health Industry, Fushun, Liaoning Province, People's Republic of China.

International Journal of General Medicine

|May 15, 2025

Summary

A lower advanced lung cancer inflammation index (ALI) predicts coronary slow flow phenomenon (CSFP) in patients with angina and non-obstructive coronary arteries. This easily measured index aids in risk stratification for CSFP.

Keywords:

advanced lung cancer inflammation index angina and nonobstructive coronary arteries coronary slow flow phenomenon predictor

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Interventional Diagnostic Procedure: A Practical Guide for the Assessment of Coronary Vascular Function

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Area of Science:

Cardiology
Inflammation Biomarkers
Coronary Artery Disease

Background:

The advanced lung cancer inflammation index (ALI) is linked to cardiovascular disease prognosis.
The association between ALI and coronary slow flow phenomenon (CSFP) is not well understood.

Purpose of the Study:

To investigate the relationship between ALI and the occurrence of CSFP in patients with angina and non-obstructive coronary arteries (ANOCA).
To determine if ALI can serve as a predictor for CSFP in this patient population.

Main Methods:

1495 ANOCA patients were enrolled; 93 were diagnosed with CSFP.
Case-control study with age- and sex-matched controls.
Logistic regression analysis was used to identify independent predictors of CSFP.

Main Results:

Patients with CSFP had lower BMI, higher neutrophil count, NLR, and FBG, but lower lymphocyte count, albumin, and ALI compared to controls.
Multivariable analysis identified ALI as an independent predictor of CSFP.
Receiver operating characteristic curve analysis showed ALI had a sensitivity of 0.652 and specificity of 0.624 for predicting CSFP.

Conclusions:

A lower ALI is a reliable predictor of CSFP in ANOCA patients.
ALI can be utilized for risk stratification and optimizing management of ANOCA patients with potential CSFP.