Predictive role of the peripheral blood inflammation indices neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) for age-related cataract risk
The novel inflammatory markers neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) have not yet been used in the study of age-related cataracts. The aim of this study was to investigate the possible relationships between the NLR, PLR,...
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description | The novel inflammatory markers neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) have not yet been used in the study of age-related cataracts. The aim of this study was to investigate the possible relationships between the NLR, PLR, and SII and age-related cataracts. In the 2005-2008 National Health and Nutrition Examination Survey (NHANES) cross-sectional surveys, we collected complete information on blood counts, whether cataract surgery had been performed, and baseline information for adults. We investigated the independent interactions between the inflammatory markers NLR, PLR, and SII and age-related cataracts via weighted multivariate regression analyses and subgroup analyses. Smoothed curve fitting was performed to identify nonlinear associations and saturation effects between inflammation indices and cataract risk. Finally, receiver operating characteristic (ROC) curves were plotted for factors significantly associated with the development of cataracts to identify the optimal diagnostic inflammation index. This study included 8887 participants without cataracts and 935 participants with cataracts. Multivariate logistic regression analyses after adjusting for covariates revealed that a high SII (OR = 1.000, 95% CI = 1.000-1.000; P = 0.017) and high NLR (OR = 1.065, 95% CI = 1.000-1.134; P = 0.048) were independent risk factors for cataracts. Subgroup analyses did not reveal interactions between the SII, NLR, or cataract and covariates. Smoothed curve fits of the relationships between the SII or NLR and cataracts did not show positive significant saturating effect values for any of the variables. The ROC curve revealed some diagnostic value for cataracts for both the SII (AUC = 0.549, P < 0.001) and the NLR (AUC = 0.603, P < 0.001), but both had weak diagnostic value. Our study suggests that the SII and NLR are independent risk factors for cataracts in U.S. adults, but no such associations was identified between the PLR and cataracts. |
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The aim of this study was to investigate the possible relationships between the NLR, PLR, and SII and age-related cataracts. In the 2005-2008 National Health and Nutrition Examination Survey (NHANES) cross-sectional surveys, we collected complete information on blood counts, whether cataract surgery had been performed, and baseline information for adults. We investigated the independent interactions between the inflammatory markers NLR, PLR, and SII and age-related cataracts via weighted multivariate regression analyses and subgroup analyses. Smoothed curve fitting was performed to identify nonlinear associations and saturation effects between inflammation indices and cataract risk. Finally, receiver operating characteristic (ROC) curves were plotted for factors significantly associated with the development of cataracts to identify the optimal diagnostic inflammation index. This study included 8887 participants without cataracts and 935 participants with cataracts. Multivariate logistic regression analyses after adjusting for covariates revealed that a high SII (OR = 1.000, 95% CI = 1.000-1.000; P = 0.017) and high NLR (OR = 1.065, 95% CI = 1.000-1.134; P = 0.048) were independent risk factors for cataracts. Subgroup analyses did not reveal interactions between the SII, NLR, or cataract and covariates. Smoothed curve fits of the relationships between the SII or NLR and cataracts did not show positive significant saturating effect values for any of the variables. The ROC curve revealed some diagnostic value for cataracts for both the SII (AUC = 0.549, P < 0.001) and the NLR (AUC = 0.603, P < 0.001), but both had weak diagnostic value. Our study suggests that the SII and NLR are independent risk factors for cataracts in U.S. adults, but no such associations was identified between the PLR and cataracts.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0313503</identifier><identifier>PMID: 39556543</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adult ; Adults ; Age ; Aged ; Alcohol ; Biology and Life Sciences ; Biomarkers - blood ; Blood ; Blood platelets ; Blood Platelets - pathology ; Blood pressure ; Body mass index ; Cataract - blood ; Cataract - diagnosis ; Cataracts ; Chronic illnesses ; Cross-Sectional Studies ; Curve fitting ; Diabetes ; Diagnostic systems ; Eye surgery ; Female ; Health care ; Humans ; Hypertension ; Inflammation ; Inflammation - blood ; Leukocytes (neutrophilic) ; Lymphocyte Count ; Lymphocytes ; Male ; Marital status ; Medicine and Health Sciences ; Middle Aged ; Multivariate analysis ; Neutrophils ; Normal distribution ; Nutrition Surveys ; Peripheral blood ; Platelet Count ; Platelets ; Questionnaires ; Regression analysis ; Risk Factors ; ROC Curve ; Subgroups ; Surveys ; Tumor necrosis factor-TNF ; Visual impairment ; Womens health</subject><ispartof>PloS one, 2024-11, Vol.19 (11), p.e0313503</ispartof><rights>Copyright: © 2024 Li 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>2024 Li 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 Li et al 2024 Li et al</rights><rights>2024 Li 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-c406t-8324791df915218761f6670c2e1e83bb807047ead5885b00b52ca9cfce0ca6043</cites><orcidid>0000-0002-4638-6100</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573120/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC11573120/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/39556543$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Baohua</creatorcontrib><creatorcontrib>Hou, Xinyue</creatorcontrib><creatorcontrib>Ning, Bobiao</creatorcontrib><creatorcontrib>Li, Xiao</creatorcontrib><creatorcontrib>Zhang, MingMing</creatorcontrib><creatorcontrib>Wang, Jianquan</creatorcontrib><creatorcontrib>Liu, Mengyu</creatorcontrib><creatorcontrib>Shi, Yipeng</creatorcontrib><creatorcontrib>Kang, Zefeng</creatorcontrib><title>Predictive role of the peripheral blood inflammation indices neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) for age-related cataract risk</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>The novel inflammatory markers neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) have not yet been used in the study of age-related cataracts. 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Multivariate logistic regression analyses after adjusting for covariates revealed that a high SII (OR = 1.000, 95% CI = 1.000-1.000; P = 0.017) and high NLR (OR = 1.065, 95% CI = 1.000-1.134; P = 0.048) were independent risk factors for cataracts. Subgroup analyses did not reveal interactions between the SII, NLR, or cataract and covariates. Smoothed curve fits of the relationships between the SII or NLR and cataracts did not show positive significant saturating effect values for any of the variables. The ROC curve revealed some diagnostic value for cataracts for both the SII (AUC = 0.549, P < 0.001) and the NLR (AUC = 0.603, P < 0.001), but both had weak diagnostic value. Our study suggests that the SII and NLR are independent risk factors for cataracts in U.S. adults, but no such associations was identified between the PLR and cataracts.</description><subject>Adult</subject><subject>Adults</subject><subject>Age</subject><subject>Aged</subject><subject>Alcohol</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers - blood</subject><subject>Blood</subject><subject>Blood platelets</subject><subject>Blood Platelets - pathology</subject><subject>Blood pressure</subject><subject>Body mass index</subject><subject>Cataract - blood</subject><subject>Cataract - diagnosis</subject><subject>Cataracts</subject><subject>Chronic illnesses</subject><subject>Cross-Sectional Studies</subject><subject>Curve fitting</subject><subject>Diabetes</subject><subject>Diagnostic systems</subject><subject>Eye surgery</subject><subject>Female</subject><subject>Health care</subject><subject>Humans</subject><subject>Hypertension</subject><subject>Inflammation</subject><subject>Inflammation - blood</subject><subject>Leukocytes (neutrophilic)</subject><subject>Lymphocyte Count</subject><subject>Lymphocytes</subject><subject>Male</subject><subject>Marital status</subject><subject>Medicine and Health Sciences</subject><subject>Middle Aged</subject><subject>Multivariate analysis</subject><subject>Neutrophils</subject><subject>Normal distribution</subject><subject>Nutrition Surveys</subject><subject>Peripheral blood</subject><subject>Platelet Count</subject><subject>Platelets</subject><subject>Questionnaires</subject><subject>Regression analysis</subject><subject>Risk Factors</subject><subject>ROC Curve</subject><subject>Subgroups</subject><subject>Surveys</subject><subject>Tumor necrosis factor-TNF</subject><subject>Visual impairment</subject><subject>Womens health</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNptkttu1DAURSMEoqXwBwgs8TKVyGDHseM8IVRxGWkEFZdny3FOZjw4cWo7FflLPomkMx21qE--rb3POfJOkpcELwktyLudG3yn7LJ3HSwxJZRh-ig5JSXNUp5h-vjO_iR5FsIOY0YF50-TE1oyxllOT5O_lx5qo6O5BuSdBeQaFLeAevCm34JXFlXWuRqZrrGqbVU0rpsOkwYC6mCI3vVbY9PoUju2_dbpMU5WM4cWX9ffz9-i3qoIFuLDzOUNo7oahTFEaI1Gpm2Hzh0rOj_OFeEPWvxYrc5R4zxSG0g9zMY10ioqr3RE3oTfz5MnjbIBXhzWs-TXp48_L76k62-fVxcf1qnOMY-poFlelKRuSsIyIgpOGs4LrDMgIGhVCVzgvABVMyFYhXHFMq1K3WjAWnGc07Pk9d63ty7Iw2cESUlWlrkoGZ2I1Z6ondrJ3ptW-VE6ZeTNhfMbqXw02oJkea040XnNdJ5TTkQlqBZVpuqsJI1Qk9f7Q7WhaqHW0MXpa-6Z3n_pzFZu3LUkhBVTT3hyWBwcvLsaIETZmqDBWtWBG-bGKZ4wKooJffMf-vB4-Z7S3oXgoTl2Q7CcE3qrknNC5SGhk-zV3UmOottI0n9MFugU</recordid><startdate>20241118</startdate><enddate>20241118</enddate><creator>Li, Baohua</creator><creator>Hou, Xinyue</creator><creator>Ning, Bobiao</creator><creator>Li, Xiao</creator><creator>Zhang, MingMing</creator><creator>Wang, Jianquan</creator><creator>Liu, Mengyu</creator><creator>Shi, Yipeng</creator><creator>Kang, Zefeng</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>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>AEUYN</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/0000-0002-4638-6100</orcidid></search><sort><creationdate>20241118</creationdate><title>Predictive role of the peripheral blood inflammation indices neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) for age-related cataract risk</title><author>Li, Baohua ; Hou, Xinyue ; Ning, Bobiao ; Li, Xiao ; Zhang, MingMing ; Wang, Jianquan ; Liu, Mengyu ; Shi, Yipeng ; Kang, Zefeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-8324791df915218761f6670c2e1e83bb807047ead5885b00b52ca9cfce0ca6043</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Adult</topic><topic>Adults</topic><topic>Age</topic><topic>Aged</topic><topic>Alcohol</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers - blood</topic><topic>Blood</topic><topic>Blood platelets</topic><topic>Blood Platelets - pathology</topic><topic>Blood pressure</topic><topic>Body mass index</topic><topic>Cataract - blood</topic><topic>Cataract - diagnosis</topic><topic>Cataracts</topic><topic>Chronic illnesses</topic><topic>Cross-Sectional Studies</topic><topic>Curve fitting</topic><topic>Diabetes</topic><topic>Diagnostic systems</topic><topic>Eye surgery</topic><topic>Female</topic><topic>Health care</topic><topic>Humans</topic><topic>Hypertension</topic><topic>Inflammation</topic><topic>Inflammation - blood</topic><topic>Leukocytes (neutrophilic)</topic><topic>Lymphocyte Count</topic><topic>Lymphocytes</topic><topic>Male</topic><topic>Marital status</topic><topic>Medicine and Health Sciences</topic><topic>Middle Aged</topic><topic>Multivariate analysis</topic><topic>Neutrophils</topic><topic>Normal distribution</topic><topic>Nutrition Surveys</topic><topic>Peripheral blood</topic><topic>Platelet Count</topic><topic>Platelets</topic><topic>Questionnaires</topic><topic>Regression analysis</topic><topic>Risk Factors</topic><topic>ROC Curve</topic><topic>Subgroups</topic><topic>Surveys</topic><topic>Tumor necrosis factor-TNF</topic><topic>Visual impairment</topic><topic>Womens health</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Baohua</creatorcontrib><creatorcontrib>Hou, Xinyue</creatorcontrib><creatorcontrib>Ning, Bobiao</creatorcontrib><creatorcontrib>Li, Xiao</creatorcontrib><creatorcontrib>Zhang, MingMing</creatorcontrib><creatorcontrib>Wang, Jianquan</creatorcontrib><creatorcontrib>Liu, Mengyu</creatorcontrib><creatorcontrib>Shi, Yipeng</creatorcontrib><creatorcontrib>Kang, Zefeng</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</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>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 Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>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 Korea</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 - 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The aim of this study was to investigate the possible relationships between the NLR, PLR, and SII and age-related cataracts. In the 2005-2008 National Health and Nutrition Examination Survey (NHANES) cross-sectional surveys, we collected complete information on blood counts, whether cataract surgery had been performed, and baseline information for adults. We investigated the independent interactions between the inflammatory markers NLR, PLR, and SII and age-related cataracts via weighted multivariate regression analyses and subgroup analyses. Smoothed curve fitting was performed to identify nonlinear associations and saturation effects between inflammation indices and cataract risk. Finally, receiver operating characteristic (ROC) curves were plotted for factors significantly associated with the development of cataracts to identify the optimal diagnostic inflammation index. This study included 8887 participants without cataracts and 935 participants with cataracts. Multivariate logistic regression analyses after adjusting for covariates revealed that a high SII (OR = 1.000, 95% CI = 1.000-1.000; P = 0.017) and high NLR (OR = 1.065, 95% CI = 1.000-1.134; P = 0.048) were independent risk factors for cataracts. Subgroup analyses did not reveal interactions between the SII, NLR, or cataract and covariates. Smoothed curve fits of the relationships between the SII or NLR and cataracts did not show positive significant saturating effect values for any of the variables. The ROC curve revealed some diagnostic value for cataracts for both the SII (AUC = 0.549, P < 0.001) and the NLR (AUC = 0.603, P < 0.001), but both had weak diagnostic value. Our study suggests that the SII and NLR are independent risk factors for cataracts in U.S. adults, but no such associations was identified between the PLR and cataracts.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>39556543</pmid><doi>10.1371/journal.pone.0313503</doi><orcidid>https://orcid.org/0000-0002-4638-6100</orcidid><oa>free_for_read</oa></addata></record> |
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source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; PubMed Central; Free Full-Text Journals in Chemistry; Public Library of Science (PLoS) |
subjects | Adult Adults Age Aged Alcohol Biology and Life Sciences Biomarkers - blood Blood Blood platelets Blood Platelets - pathology Blood pressure Body mass index Cataract - blood Cataract - diagnosis Cataracts Chronic illnesses Cross-Sectional Studies Curve fitting Diabetes Diagnostic systems Eye surgery Female Health care Humans Hypertension Inflammation Inflammation - blood Leukocytes (neutrophilic) Lymphocyte Count Lymphocytes Male Marital status Medicine and Health Sciences Middle Aged Multivariate analysis Neutrophils Normal distribution Nutrition Surveys Peripheral blood Platelet Count Platelets Questionnaires Regression analysis Risk Factors ROC Curve Subgroups Surveys Tumor necrosis factor-TNF Visual impairment Womens health |
title | Predictive role of the peripheral blood inflammation indices neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immunoinflammatory index (SII) for age-related cataract risk |
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