{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,12]],"date-time":"2026-03-12T14:58:10Z","timestamp":1773327490570,"version":"3.50.1"},"reference-count":44,"publisher":"Bentham Science Publishers Ltd.","issue":"3","content-domain":{"domain":["eurekaselect.com"],"crossmark-restriction":true},"short-container-title":["CHDDT"],"published-print":{"date-parts":[[2023,9]]},"abstract":"<jats:sec>\n<jats:title>Introduction:<\/jats:title>\n<jats:p>Recent evidence suggests that systemic inflammation not only plays an\nimportant role in the pathogenesis of Acute Coronary Syndrome but also correlates with disease\nseverity. Monocyte-to-high-density lipoprotein cholesterol ratio (MHR), Neutrophil-Lymphocyte\nRatio (NLR), and Monocyte-Lymphocyte Ratio (MLR) are novel systemic inflammation markers used for predicting the burden of coronary artery disease (CAD) based on SYNTAX score.\nThis single-center, cross-sectional, observational study compared the association of these novel\nhematological indices with CAD severity using the SYNTAX Score in ACS patients and aimed\nto determine the best predictor of the severity of CAD.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Methods:<\/jats:title>\n<jats:p>A total of 403 consecutive patients with ACS who underwent coronary angiography\nwere enrolled. On the basis of the SYNTAX Score, patients were divided into three groups:\nLow: &lt;22, Moderate 22 - 32 and High \u2265 32. MHR, MLR, and NLR were calculated and correlated with SYNTAX Score.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Results:<\/jats:title>\n<jats:p>All three indices: MHR (r=0.511; p &lt;0.001), MLR (r=0.373; p &lt;0.001), and NLR\n(r=0.292; p =0.001) showed significant correlation with SYNTAX Score. The MHR ROC was\nsignificantly higher than that of MLR (difference between area: 0.158; 95% CI: 0.079-0.259) and\nNLR (difference between area: 0.279; 95% CI: 0.172-0.419) for the SYNTAX Score. Analysis\nshowed a strong correlation between these indices with Syntax score &gt;22 compared to low\nscores &lt;22 and that these also related to the LAD as an infarct artery. Multiple regression analysis showed that diabetes mellitus, eGFR, Infarct-related artery left anterior descending (IRALAD), MHR, MLR, and NLR were predictors of the severity of CAD in ACS patients based on\nSYNTAX score.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title>Conclusion:<\/jats:title>\n<jats:p>In ACS patients MHR, MLR, and NLR showed significant correlation with Syntax\nscore &gt;22 which may be indicative of severity of disease. MHR is a better predictor of the severity of CAD than MLR and NLR in ACS patients.<\/jats:p>\n<\/jats:sec>","DOI":"10.2174\/011871529x269740231102045028","type":"journal-article","created":{"date-parts":[[2023,11,10]],"date-time":"2023-11-10T11:50:02Z","timestamp":1699617002000},"page":"202-211","update-policy":"https:\/\/doi.org\/10.2174\/bsp_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Association of Novel Hematological Indices with Severity of Coronary\nArtery Disease using SYNTAX Score in Patients with Acute Coronary\nSyndrome"],"prefix":"10.2174","volume":"23","author":[{"given":"Vivek","family":"Mohanty","sequence":"first","affiliation":[{"name":"Senior Resident of Cardiology, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shubham","family":"Sharma","sequence":"additional","affiliation":[{"name":"Senior Resident of Cardiology, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sourabh","family":"Goswami","sequence":"additional","affiliation":[{"name":"Senior Resident of Cardiology, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Atul","family":"Kaushik","sequence":"additional","affiliation":[{"name":"Associate Professor of Cardiology, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Rahul","family":"Choudhary","sequence":"additional","affiliation":[{"name":"Associate Professor of Cardiology, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dharamveer","family":"Yadav","sequence":"additional","affiliation":[{"name":"Additional Professor of Biochemistry, All India Institute\nof Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5351-8597","authenticated-orcid":true,"given":"Surender","family":"Deora","sequence":"additional","affiliation":[{"name":"Additional Professor of Cardiology, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kuldeep","family":"Singh","sequence":"additional","affiliation":[{"name":"Professor of Paediatrics and Genetic Medicine, All India Institute of Medical Sciences, Jodhpur, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"965","reference":[{"key":"ref=1","doi-asserted-by":"publisher","first-page":"e005375","DOI":"10.1161\/CIRCOUTCOMES.118.005375","volume":"12","author":"Nowbar A.N.","year":"2019","unstructured":"Nowbar A.N.; Gitto M.; Howard J.P.; Francis D.P.; Al-Lamee R.; Mortality from ischemic heart disease: Analysis of data from the World Health Organization and coronary artery disease risk factors From NCD risk factor collaboration. 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