Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification

Aim To develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC). Methods The study enrolled 562 consecutive patients with suspected CAD who underwent c...

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Autores principales: Wenjun Fan MM, Ying Zhang MM, Yixiang Liu MM, Zhenjiang Ding MM, Yueqiao Si MM, Fei Shi MM, Jingyi Liu MM, Lixian Sun MD
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Publicado: SAGE Publishing 2021
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spelling oai:doaj.org-article:274332ee2d314263b707eb755ed972872021-11-18T00:33:19ZNomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification1938-272310.1177/10760296211060455https://doaj.org/article/274332ee2d314263b707eb755ed972872021-11-01T00:00:00Zhttps://doi.org/10.1177/10760296211060455https://doaj.org/toc/1938-2723Aim To develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC). Methods The study enrolled 562 consecutive patients with suspected CAD who underwent coronary computed tomographic angiography between September 2015 and June 2017. Independent risk factors for CAD, CAC, and CAD with CAC were identified via univariate and multivariate analysis, and nomograms were established based on the independent predictors identified. The area under the curve (AUC), calibration curve, and decision curve analysis were used to evaluate the nomograms. Correlations between ALI and other clinical indicators were examined via Spearman correlation analysis. Results In total, 549 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, hypertension, diabetes, dyslipidemia, ischemic stroke, and ALI were independent predictors of both CAD and CAC. Male sex, hypertension, diabetes, dyslipidemia, and ALI were also identified as independent predictors of CAD with CAC. The AUC values for the nomograms developed using these risk factors were 0.739 (95% confidence interval [CI], 0.693-0.785), 0.728 (95% CI, 0.684-0.772), and 0.717 (95% CI 0.673-0.761), respectively. ALI was negatively correlated with neutrophil-to-lymphocyte ratio and CAC score and positively correlated with serum albumin levels and body mass index (all P  < .05). Conclusions ALI is an independent predictor of CAD, CAC, and CAD with CAC. Our ALI-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD.Wenjun Fan MMYing Zhang MMYixiang Liu MMZhenjiang Ding MMYueqiao Si MMFei Shi MMJingyi Liu MMLixian Sun MDSAGE PublishingarticleDiseases of the circulatory (Cardiovascular) systemRC666-701ENClinical and Applied Thrombosis/Hemostasis, Vol 27 (2021)
institution DOAJ
collection DOAJ
language EN
topic Diseases of the circulatory (Cardiovascular) system
RC666-701
spellingShingle Diseases of the circulatory (Cardiovascular) system
RC666-701
Wenjun Fan MM
Ying Zhang MM
Yixiang Liu MM
Zhenjiang Ding MM
Yueqiao Si MM
Fei Shi MM
Jingyi Liu MM
Lixian Sun MD
Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification
description Aim To develop and validate 3 nomograms incorporating the advanced lung cancer inflammation index (ALI) that can aid in predicting the risk of coronary artery disease (CAD) and coronary artery calcification (CAC). Methods The study enrolled 562 consecutive patients with suspected CAD who underwent coronary computed tomographic angiography between September 2015 and June 2017. Independent risk factors for CAD, CAC, and CAD with CAC were identified via univariate and multivariate analysis, and nomograms were established based on the independent predictors identified. The area under the curve (AUC), calibration curve, and decision curve analysis were used to evaluate the nomograms. Correlations between ALI and other clinical indicators were examined via Spearman correlation analysis. Results In total, 549 patients with suspected CAD who underwent coronary computed tomographic angiography were included. Male sex, hypertension, diabetes, dyslipidemia, ischemic stroke, and ALI were independent predictors of both CAD and CAC. Male sex, hypertension, diabetes, dyslipidemia, and ALI were also identified as independent predictors of CAD with CAC. The AUC values for the nomograms developed using these risk factors were 0.739 (95% confidence interval [CI], 0.693-0.785), 0.728 (95% CI, 0.684-0.772), and 0.717 (95% CI 0.673-0.761), respectively. ALI was negatively correlated with neutrophil-to-lymphocyte ratio and CAC score and positively correlated with serum albumin levels and body mass index (all P  < .05). Conclusions ALI is an independent predictor of CAD, CAC, and CAD with CAC. Our ALI-based nomograms can provide accurate and individualized risk predictions for patients with suspected CAD.
format article
author Wenjun Fan MM
Ying Zhang MM
Yixiang Liu MM
Zhenjiang Ding MM
Yueqiao Si MM
Fei Shi MM
Jingyi Liu MM
Lixian Sun MD
author_facet Wenjun Fan MM
Ying Zhang MM
Yixiang Liu MM
Zhenjiang Ding MM
Yueqiao Si MM
Fei Shi MM
Jingyi Liu MM
Lixian Sun MD
author_sort Wenjun Fan MM
title Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification
title_short Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification
title_full Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification
title_fullStr Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification
title_full_unstemmed Nomograms Based on the Advanced Lung Cancer Inflammation Index for the Prediction of Coronary Artery Disease and Calcification
title_sort nomograms based on the advanced lung cancer inflammation index for the prediction of coronary artery disease and calcification
publisher SAGE Publishing
publishDate 2021
url https://doaj.org/article/274332ee2d314263b707eb755ed97287
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