Loading…
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-...
Saved in:
Published in: | PloS one 2024-07, Vol.19 (7), p.e0290805 |
---|---|
Main Authors: | , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites |
Online Access: | Get full text |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
cited_by | |
---|---|
cites | cdi_FETCH-LOGICAL-c526t-6deefc69eab310b5f8ee43974cb58ddfb3d92f47bfab2a3c2e1d3df9b062d5633 |
container_end_page | |
container_issue | 7 |
container_start_page | e0290805 |
container_title | PloS one |
container_volume | 19 |
creator | Yuan, Shuaishuai Li, Lingling Pu, Tian Fan, Xizhen Wang, Zheng Xie, Pailing 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 |
doi_str_mv | 10.1371/journal.pone.0290805 |
format | article |
fullrecord | <record><control><sourceid>gale_plos_</sourceid><recordid>TN_cdi_plos_journals_3078421493</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A800837588</galeid><doaj_id>oai_doaj_org_article_be19e34bb932470882868752dda0a2f2</doaj_id><sourcerecordid>A800837588</sourcerecordid><originalsourceid>FETCH-LOGICAL-c526t-6deefc69eab310b5f8ee43974cb58ddfb3d92f47bfab2a3c2e1d3df9b062d5633</originalsourceid><addsrcrecordid>eNqNkl1v0zAUhiMEYmPwDxBEmoRAWjt_JI5zhaYOaFG1SWVwa9nxcesqjYudwPj3uGs2NWgXyJJt2c95z_HxmySvMRpjWuDztet8I-vx1jUwRqREHOVPkmNcUjJiBNGnB_uj5EUIa4Ryyhl7nhxRXvK84Pw4-XqzgtRDLVvrmrCy21RB-xugSa_mi7N0fjkfTc6nu_ksvZouUtnotHLeNdL_SaVvIS7aBpABXibPjKwDvOrXk-T75083k-lofv1lNrmYj6qcsHbENICpWAlSUYxUbjhARssiq1TOtTaK6pKYrFBGKiJpRQBrqk2pECM6Z5SeJG_3utvaBdG3IQiKCp4RnJU7YrYntJNrsfV2E6sVTlpxd-D8UsTSbVWDUIBLoJlSsVVZgTgnnPEiJ1pLJIkhUetjn61TG9AVNK2X9UB0eNPYlVi6XwJjQhnmKCq87xW8-9lBaMXGhgrqWjbgun3hBc5LxiJ6-g_6-PN6ainjC2xjXExc7UTFBUeI0yLnPFLjR6g4NGxsFU1jbDwfBHwYBESmhdt2KbsQxOzb4v_Z6x9D9t0BuwJZt6vg6u7OcUMw24OVdyF4MA9dxkjsPH_fDbHzvOg9H8PeHP7QQ9C9yelflGv50A</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>3078421493</pqid></control><display><type>article</type><title>The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease</title><source>NCBI_PubMed Central(免费)</source><source>Publicly Available Content Database</source><creator>Yuan, Shuaishuai ; Li, Lingling ; Pu, Tian ; Fan, Xizhen ; Wang, Zheng ; Xie, Pailing ; Li, Peijun</creator><contributor>Tian, Suyan</contributor><creatorcontrib>Yuan, Shuaishuai ; Li, Lingling ; Pu, Tian ; Fan, Xizhen ; Wang, Zheng ; Xie, Pailing ; Li, Peijun ; Tian, Suyan</creatorcontrib><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<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<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>0.2, P<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<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 & 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. 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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c526t-6deefc69eab310b5f8ee43974cb58ddfb3d92f47bfab2a3c2e1d3df9b062d5633</cites><orcidid>0009-0008-2313-4657</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/3078421493/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/3078421493?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,25753,27924,27925,37012,37013,44590,53791,53793,75126</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38985788$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Tian, Suyan</contributor><creatorcontrib>Yuan, Shuaishuai</creatorcontrib><creatorcontrib>Li, Lingling</creatorcontrib><creatorcontrib>Pu, Tian</creatorcontrib><creatorcontrib>Fan, Xizhen</creatorcontrib><creatorcontrib>Wang, Zheng</creatorcontrib><creatorcontrib>Xie, Pailing</creatorcontrib><creatorcontrib>Li, Peijun</creatorcontrib><title>The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease</title><title>PloS one</title><addtitle>PLoS One</addtitle><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<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<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>0.2, P<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<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 & artery diseases</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNqNkl1v0zAUhiMEYmPwDxBEmoRAWjt_JI5zhaYOaFG1SWVwa9nxcesqjYudwPj3uGs2NWgXyJJt2c95z_HxmySvMRpjWuDztet8I-vx1jUwRqREHOVPkmNcUjJiBNGnB_uj5EUIa4Ryyhl7nhxRXvK84Pw4-XqzgtRDLVvrmrCy21RB-xugSa_mi7N0fjkfTc6nu_ksvZouUtnotHLeNdL_SaVvIS7aBpABXibPjKwDvOrXk-T75083k-lofv1lNrmYj6qcsHbENICpWAlSUYxUbjhARssiq1TOtTaK6pKYrFBGKiJpRQBrqk2pECM6Z5SeJG_3utvaBdG3IQiKCp4RnJU7YrYntJNrsfV2E6sVTlpxd-D8UsTSbVWDUIBLoJlSsVVZgTgnnPEiJ1pLJIkhUetjn61TG9AVNK2X9UB0eNPYlVi6XwJjQhnmKCq87xW8-9lBaMXGhgrqWjbgun3hBc5LxiJ6-g_6-PN6ainjC2xjXExc7UTFBUeI0yLnPFLjR6g4NGxsFU1jbDwfBHwYBESmhdt2KbsQxOzb4v_Z6x9D9t0BuwJZt6vg6u7OcUMw24OVdyF4MA9dxkjsPH_fDbHzvOg9H8PeHP7QQ9C9yelflGv50A</recordid><startdate>20240710</startdate><enddate>20240710</enddate><creator>Yuan, Shuaishuai</creator><creator>Li, Lingling</creator><creator>Pu, Tian</creator><creator>Fan, Xizhen</creator><creator>Wang, Zheng</creator><creator>Xie, Pailing</creator><creator>Li, Peijun</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0009-0008-2313-4657</orcidid></search><sort><creationdate>20240710</creationdate><title>The relationship between NLR, LDL-C/HDL-C, NHR and coronary artery disease</title><author>Yuan, Shuaishuai ; Li, Lingling ; Pu, Tian ; Fan, Xizhen ; Wang, Zheng ; Xie, Pailing ; Li, Peijun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c526t-6deefc69eab310b5f8ee43974cb58ddfb3d92f47bfab2a3c2e1d3df9b062d5633</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Acute Coronary Syndrome - blood</topic><topic>Acute coronary syndromes</topic><topic>Aged</topic><topic>Analysis</topic><topic>Angiography</topic><topic>Arteriosclerosis</topic><topic>Atherosclerosis</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Blood</topic><topic>Body mass index</topic><topic>Body size</topic><topic>Cardiac patients</topic><topic>Cardiovascular disease</topic><topic>Cardiovascular diseases</topic><topic>Cholesterol</topic><topic>Cholesterol, HDL</topic><topic>Cholesterol, HDL - blood</topic><topic>Cholesterol, LDL</topic><topic>Cholesterol, LDL - blood</topic><topic>Coronary Angiography</topic><topic>Coronary artery disease</topic><topic>Coronary Artery Disease - blood</topic><topic>Coronary heart disease</topic><topic>Coronary vessels</topic><topic>Correlation analysis</topic><topic>Density</topic><topic>Diabetes</topic><topic>Diabetes mellitus</topic><topic>Dyslipidemia</topic><topic>Eosinophils</topic><topic>Female</topic><topic>Health aspects</topic><topic>Heart attacks</topic><topic>Heart diseases</topic><topic>High density lipoprotein</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inflammation</topic><topic>Lesions</topic><topic>Leukocytes (eosinophilic)</topic><topic>Leukocytes (neutrophilic)</topic><topic>Lipids</topic><topic>Low density lipoprotein</topic><topic>Low density lipoproteins</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Medical examination</topic><topic>Medical imaging</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Medicine, Experimental</topic><topic>Metabolism</topic><topic>Middle Aged</topic><topic>Monocytes</topic><topic>Mortality</topic><topic>Neutrophils</topic><topic>Patients</topic><topic>Physiological aspects</topic><topic>Prediction models</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Risk assessment</topic><topic>Risk Factors</topic><topic>Sensitivity</topic><topic>Smoking</topic><topic>Statistical analysis</topic><topic>Triglycerides</topic><topic>Variables</topic><topic>Vein & artery diseases</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yuan, Shuaishuai</creatorcontrib><creatorcontrib>Li, Lingling</creatorcontrib><creatorcontrib>Pu, Tian</creatorcontrib><creatorcontrib>Fan, Xizhen</creatorcontrib><creatorcontrib>Wang, Zheng</creatorcontrib><creatorcontrib>Xie, Pailing</creatorcontrib><creatorcontrib>Li, Peijun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale_Opposing Viewpoints In Context</collection><collection>Science (Gale in Context)</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>ProQuest Nursing and Allied Health Journals</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>ProQuest_Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest Central</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>AUTh Library subscriptions: ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Agriculture Science Database</collection><collection>Health & 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 & Allied Health Premium</collection><collection>ProQuest advanced technologies & aerospace journals</collection><collection>ProQuest Advanced Technologies & 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 < 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<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<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>0.2, P<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<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> |
fulltext | fulltext |
identifier | ISSN: 1932-6203 |
ispartof | PloS one, 2024-07, Vol.19 (7), p.e0290805 |
issn | 1932-6203 1932-6203 |
language | eng |
recordid | cdi_plos_journals_3078421493 |
source | NCBI_PubMed Central(免费); Publicly Available Content Database |
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 |
url | http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-25T09%3A19%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=The%20relationship%20between%20NLR,%20LDL-C/HDL-C,%20NHR%20and%20coronary%20artery%20disease&rft.jtitle=PloS%20one&rft.au=Yuan,%20Shuaishuai&rft.date=2024-07-10&rft.volume=19&rft.issue=7&rft.spage=e0290805&rft.pages=e0290805-&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0290805&rft_dat=%3Cgale_plos_%3EA800837588%3C/gale_plos_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c526t-6deefc69eab310b5f8ee43974cb58ddfb3d92f47bfab2a3c2e1d3df9b062d5633%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=3078421493&rft_id=info:pmid/38985788&rft_galeid=A800837588&rfr_iscdi=true |