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The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease

Chronic inflammation and dyslipidemia are key risk factors for atherosclerotic cardiovascular diseases. We retrospectively explored the association between the neutrophil to lymphocyte ratio (NLR), the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-...

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Published in:PloS one 2024-07, Vol.19 (7), p.e0290805
Main Authors: Yuan, Shuaishuai, Li, Lingling, Pu, Tian, Fan, Xizhen, Wang, Zheng, Xie, Pailing, Li, Peijun
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Li, Lingling
Pu, Tian
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Li, Peijun
description Chronic inflammation and dyslipidemia are key risk factors for atherosclerotic cardiovascular diseases. We retrospectively explored the association between the neutrophil to lymphocyte ratio (NLR), the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-C), and the neutrophil to HDL-C ratio (NHR), and the severity of coronary lesions in patients with acute coronary syndrome (ACS). In June 2023, we selected 1210 patients who were diagnosed with ACS based on chest pain from January 2017 to December 2022. Of these, 1100 patients with abnormal coronary angiography were categorized into the experimental group, and 110 patients with normal coronary angiography were classified as the control group. We collected routine blood tests, lipid profiles, and coronary angiography results at admission (before coronary angiography). Patients were then stratified into a control group (Gensini score = 0) and an experimental group (Gensini score = 0) based on the Gensini score. The experimental group was further divided into a low score group (Gensini score < 69) and a high score group (Gensini score ≥ 69). 1. Statistically significant differences were observed between the control and experimental groups in terms of gender, age, body mass index (BMI), hypertension, diabetes, smoking history, and counts of neutrophils (NEU), lymphocytes (LYM), monocytes (MON), eosinophils (EOS), red cell distribution width (RDW), total cholesterol (TC), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR (P
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We retrospectively explored the association between the neutrophil to lymphocyte ratio (NLR), the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-C), and the neutrophil to HDL-C ratio (NHR), and the severity of coronary lesions in patients with acute coronary syndrome (ACS). In June 2023, we selected 1210 patients who were diagnosed with ACS based on chest pain from January 2017 to December 2022. Of these, 1100 patients with abnormal coronary angiography were categorized into the experimental group, and 110 patients with normal coronary angiography were classified as the control group. We collected routine blood tests, lipid profiles, and coronary angiography results at admission (before coronary angiography). Patients were then stratified into a control group (Gensini score = 0) and an experimental group (Gensini score = 0) based on the Gensini score. The experimental group was further divided into a low score group (Gensini score &lt; 69) and a high score group (Gensini score ≥ 69). 1. Statistically significant differences were observed between the control and experimental groups in terms of gender, age, body mass index (BMI), hypertension, diabetes, smoking history, and counts of neutrophils (NEU), lymphocytes (LYM), monocytes (MON), eosinophils (EOS), red cell distribution width (RDW), total cholesterol (TC), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR (P&lt;0.05). Furthermore, differences in BMI, hypertension, diabetes, smoking history, NEU, LYM, MON, TC, triglyceride (TG), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR were significant between the low and high score groups (P&lt;0.05). 2. NEU, LYM, MON, TC, HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR showed significant correlations with the Gensini score (r&gt;0.2, P&lt;0.05), with NLR and LDL-C/HDL-C showing the strongest correlations (r = 0.822, P = 0.000). 3. The Receiver Operating Characteristic (ROC) curve indicated that the combination of NLR and LDL-C/HDL-C had superior sensitivity and specificity in predicting the severity of coronary lesions, with a significant difference (P&lt;0.05). The sensitivity was 87.1%, the specificity was 90.9%, and the cut-off point was 2.04. 4. A predictive model was developed based on the ratio of NLR and LDL-C/HDL-C to the Gensini score. The final model score was calculated as 6.803 + 7.029NLR + 13.079LDL-C/HDL-C (R2 = 0.708). Compared to NLR, LDL-C/HDL-C, and NHR, the combined NLR and LDL-C/HDL-C ratio is a more accurate marker for assessing the severity of coronary artery disease in ACS patients. Its convenience and effectiveness make it a promising tool for early assessment, timely risk stratification, and appropriate clinical intervention, ultimately improving clinical outcomes for ACS patients.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0290805</identifier><identifier>PMID: 38985788</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Acute Coronary Syndrome - blood ; Acute coronary syndromes ; Aged ; Analysis ; Angiography ; Arteriosclerosis ; Atherosclerosis ; Biology and Life Sciences ; Biomarkers ; Blood ; Body mass index ; Body size ; Cardiac patients ; Cardiovascular disease ; Cardiovascular diseases ; Cholesterol ; Cholesterol, HDL ; Cholesterol, HDL - blood ; Cholesterol, LDL ; Cholesterol, LDL - blood ; Coronary Angiography ; Coronary artery disease ; Coronary Artery Disease - blood ; Coronary heart disease ; Coronary vessels ; Correlation analysis ; Density ; Diabetes ; Diabetes mellitus ; Dyslipidemia ; Eosinophils ; Female ; Health aspects ; Heart attacks ; Heart diseases ; High density lipoprotein ; Hospitals ; Humans ; Hypertension ; Inflammation ; Lesions ; Leukocytes (eosinophilic) ; Leukocytes (neutrophilic) ; Lipids ; Low density lipoprotein ; Low density lipoproteins ; Lymphocytes ; Male ; Medical examination ; Medical imaging ; Medical research ; Medicine and Health Sciences ; Medicine, Experimental ; Metabolism ; Middle Aged ; Monocytes ; Mortality ; Neutrophils ; Patients ; Physiological aspects ; Prediction models ; Regression analysis ; Retrospective Studies ; Risk assessment ; Risk Factors ; Sensitivity ; Smoking ; Statistical analysis ; Triglycerides ; Variables ; Vein &amp; artery diseases</subject><ispartof>PloS one, 2024-07, Vol.19 (7), p.e0290805</ispartof><rights>Copyright: © 2024 Yuan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</rights><rights>COPYRIGHT 2024 Public Library of Science</rights><rights>2024 Yuan et al. This is an open access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2024 Yuan et al 2024 Yuan et al</rights><rights>2024 Yuan et al. 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We retrospectively explored the association between the neutrophil to lymphocyte ratio (NLR), the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-C), and the neutrophil to HDL-C ratio (NHR), and the severity of coronary lesions in patients with acute coronary syndrome (ACS). In June 2023, we selected 1210 patients who were diagnosed with ACS based on chest pain from January 2017 to December 2022. Of these, 1100 patients with abnormal coronary angiography were categorized into the experimental group, and 110 patients with normal coronary angiography were classified as the control group. We collected routine blood tests, lipid profiles, and coronary angiography results at admission (before coronary angiography). Patients were then stratified into a control group (Gensini score = 0) and an experimental group (Gensini score = 0) based on the Gensini score. The experimental group was further divided into a low score group (Gensini score &lt; 69) and a high score group (Gensini score ≥ 69). 1. Statistically significant differences were observed between the control and experimental groups in terms of gender, age, body mass index (BMI), hypertension, diabetes, smoking history, and counts of neutrophils (NEU), lymphocytes (LYM), monocytes (MON), eosinophils (EOS), red cell distribution width (RDW), total cholesterol (TC), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR (P&lt;0.05). Furthermore, differences in BMI, hypertension, diabetes, smoking history, NEU, LYM, MON, TC, triglyceride (TG), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR were significant between the low and high score groups (P&lt;0.05). 2. NEU, LYM, MON, TC, HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR showed significant correlations with the Gensini score (r&gt;0.2, P&lt;0.05), with NLR and LDL-C/HDL-C showing the strongest correlations (r = 0.822, P = 0.000). 3. The Receiver Operating Characteristic (ROC) curve indicated that the combination of NLR and LDL-C/HDL-C had superior sensitivity and specificity in predicting the severity of coronary lesions, with a significant difference (P&lt;0.05). The sensitivity was 87.1%, the specificity was 90.9%, and the cut-off point was 2.04. 4. A predictive model was developed based on the ratio of NLR and LDL-C/HDL-C to the Gensini score. The final model score was calculated as 6.803 + 7.029NLR + 13.079LDL-C/HDL-C (R2 = 0.708). Compared to NLR, LDL-C/HDL-C, and NHR, the combined NLR and LDL-C/HDL-C ratio is a more accurate marker for assessing the severity of coronary artery disease in ACS patients. Its convenience and effectiveness make it a promising tool for early assessment, timely risk stratification, and appropriate clinical intervention, ultimately improving clinical outcomes for ACS patients.</description><subject>Acute Coronary Syndrome - blood</subject><subject>Acute coronary syndromes</subject><subject>Aged</subject><subject>Analysis</subject><subject>Angiography</subject><subject>Arteriosclerosis</subject><subject>Atherosclerosis</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Blood</subject><subject>Body mass index</subject><subject>Body size</subject><subject>Cardiac patients</subject><subject>Cardiovascular disease</subject><subject>Cardiovascular diseases</subject><subject>Cholesterol</subject><subject>Cholesterol, HDL</subject><subject>Cholesterol, HDL - blood</subject><subject>Cholesterol, LDL</subject><subject>Cholesterol, LDL - blood</subject><subject>Coronary Angiography</subject><subject>Coronary artery disease</subject><subject>Coronary Artery Disease - blood</subject><subject>Coronary heart disease</subject><subject>Coronary vessels</subject><subject>Correlation analysis</subject><subject>Density</subject><subject>Diabetes</subject><subject>Diabetes mellitus</subject><subject>Dyslipidemia</subject><subject>Eosinophils</subject><subject>Female</subject><subject>Health aspects</subject><subject>Heart attacks</subject><subject>Heart diseases</subject><subject>High density lipoprotein</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Lesions</subject><subject>Leukocytes (eosinophilic)</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lipids</subject><subject>Low density lipoprotein</subject><subject>Low density lipoproteins</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Medical examination</subject><subject>Medical imaging</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Medicine, Experimental</subject><subject>Metabolism</subject><subject>Middle Aged</subject><subject>Monocytes</subject><subject>Mortality</subject><subject>Neutrophils</subject><subject>Patients</subject><subject>Physiological aspects</subject><subject>Prediction models</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Risk assessment</subject><subject>Risk Factors</subject><subject>Sensitivity</subject><subject>Smoking</subject><subject>Statistical analysis</subject><subject>Triglycerides</subject><subject>Variables</subject><subject>Vein &amp; 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Allied Health Database (Alumni Edition)</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>PML(ProQuest Medical Library)</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>ProQuest Biological Science Journals</collection><collection>Engineering Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>ProQuest advanced technologies &amp; aerospace journals</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Materials science collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering collection</collection><collection>Environmental Science Collection</collection><collection>Genetics Abstracts</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yuan, Shuaishuai</au><au>Li, Lingling</au><au>Pu, Tian</au><au>Fan, Xizhen</au><au>Wang, Zheng</au><au>Xie, Pailing</au><au>Li, Peijun</au><au>Tian, Suyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2024-07-10</date><risdate>2024</risdate><volume>19</volume><issue>7</issue><spage>e0290805</spage><pages>e0290805-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Chronic inflammation and dyslipidemia are key risk factors for atherosclerotic cardiovascular diseases. We retrospectively explored the association between the neutrophil to lymphocyte ratio (NLR), the ratio of low-density lipoprotein cholesterol (LDL-C) to high-density lipoprotein cholesterol (HDL-C), and the neutrophil to HDL-C ratio (NHR), and the severity of coronary lesions in patients with acute coronary syndrome (ACS). In June 2023, we selected 1210 patients who were diagnosed with ACS based on chest pain from January 2017 to December 2022. Of these, 1100 patients with abnormal coronary angiography were categorized into the experimental group, and 110 patients with normal coronary angiography were classified as the control group. We collected routine blood tests, lipid profiles, and coronary angiography results at admission (before coronary angiography). Patients were then stratified into a control group (Gensini score = 0) and an experimental group (Gensini score = 0) based on the Gensini score. The experimental group was further divided into a low score group (Gensini score &lt; 69) and a high score group (Gensini score ≥ 69). 1. Statistically significant differences were observed between the control and experimental groups in terms of gender, age, body mass index (BMI), hypertension, diabetes, smoking history, and counts of neutrophils (NEU), lymphocytes (LYM), monocytes (MON), eosinophils (EOS), red cell distribution width (RDW), total cholesterol (TC), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR (P&lt;0.05). Furthermore, differences in BMI, hypertension, diabetes, smoking history, NEU, LYM, MON, TC, triglyceride (TG), HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR were significant between the low and high score groups (P&lt;0.05). 2. NEU, LYM, MON, TC, HDL-C, LDL-C, NLR, LDL-C/HDL-C, and NHR showed significant correlations with the Gensini score (r&gt;0.2, P&lt;0.05), with NLR and LDL-C/HDL-C showing the strongest correlations (r = 0.822, P = 0.000). 3. The Receiver Operating Characteristic (ROC) curve indicated that the combination of NLR and LDL-C/HDL-C had superior sensitivity and specificity in predicting the severity of coronary lesions, with a significant difference (P&lt;0.05). The sensitivity was 87.1%, the specificity was 90.9%, and the cut-off point was 2.04. 4. A predictive model was developed based on the ratio of NLR and LDL-C/HDL-C to the Gensini score. The final model score was calculated as 6.803 + 7.029NLR + 13.079LDL-C/HDL-C (R2 = 0.708). Compared to NLR, LDL-C/HDL-C, and NHR, the combined NLR and LDL-C/HDL-C ratio is a more accurate marker for assessing the severity of coronary artery disease in ACS patients. Its convenience and effectiveness make it a promising tool for early assessment, timely risk stratification, and appropriate clinical intervention, ultimately improving clinical outcomes for ACS patients.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>38985788</pmid><doi>10.1371/journal.pone.0290805</doi><tpages>e0290805</tpages><orcidid>https://orcid.org/0009-0008-2313-4657</orcidid><oa>free_for_read</oa></addata></record>
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1932-6203
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subjects Acute Coronary Syndrome - blood
Acute coronary syndromes
Aged
Analysis
Angiography
Arteriosclerosis
Atherosclerosis
Biology and Life Sciences
Biomarkers
Blood
Body mass index
Body size
Cardiac patients
Cardiovascular disease
Cardiovascular diseases
Cholesterol
Cholesterol, HDL
Cholesterol, HDL - blood
Cholesterol, LDL
Cholesterol, LDL - blood
Coronary Angiography
Coronary artery disease
Coronary Artery Disease - blood
Coronary heart disease
Coronary vessels
Correlation analysis
Density
Diabetes
Diabetes mellitus
Dyslipidemia
Eosinophils
Female
Health aspects
Heart attacks
Heart diseases
High density lipoprotein
Hospitals
Humans
Hypertension
Inflammation
Lesions
Leukocytes (eosinophilic)
Leukocytes (neutrophilic)
Lipids
Low density lipoprotein
Low density lipoproteins
Lymphocytes
Male
Medical examination
Medical imaging
Medical research
Medicine and Health Sciences
Medicine, Experimental
Metabolism
Middle Aged
Monocytes
Mortality
Neutrophils
Patients
Physiological aspects
Prediction models
Regression analysis
Retrospective Studies
Risk assessment
Risk Factors
Sensitivity
Smoking
Statistical analysis
Triglycerides
Variables
Vein & artery diseases
title The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease
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