{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T01:37:47Z","timestamp":1792719467682,"version":"4.5.0"},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T00:00:00Z","timestamp":1785196800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"},{"start":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T00:00:00Z","timestamp":1792713600000},"content-version":"vor","delay-in-days":87,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["BMC Cardiovasc Disord"],"DOI":"10.1186\/s12872-026-06244-3","type":"journal-article","created":{"date-parts":[[2026,7,28]],"date-time":"2026-07-28T08:53:46Z","timestamp":1785228826000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Predictive value of cardiometabolic index combined with N-Terminal pro-B-Type natriuretic peptide for moderate- to high-risk patients with acute coronary syndrome"],"prefix":"10.1186","volume":"26","author":[{"given":"Juanya","family":"chen","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Meifen","family":"Dai","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Limei","family":"Gao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lishan","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lihua","family":"Shan","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Zirong","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2026,7,28]]},"reference":[{"issue":"7578","key":"6244_CR1","doi-asserted-by":"publisher","first-page":"1091","DOI":"10.1136\/bmj.38985.646481.55","volume":"333","author":"KAA FOX","year":"2006","unstructured":"FOX KAA, DABBOUS OH, GOLDBERG RJ, et al. Prediction of risk of death and myocardial infarction in the six months after presentation with acute coronary syndrome: prospective multinational observational study (GRACE). BMJ. 2006;333(7578):1091.","journal-title":"BMJ"},{"issue":"22","key":"6244_CR2","doi-asserted-by":"publisher","first-page":"2727","DOI":"10.1001\/jama.291.22.2727","volume":"291","author":"KA EAGLE","year":"2004","unstructured":"EAGLE KA, LIM MJ, DABBOUS OH, et al. A validated prediction model for all forms of acute coronary syndrome: estimating the risk of 6-month postdisleftge death in an international registry. JAMA. 2004;291(22):2727\u201333.","journal-title":"JAMA"},{"issue":"3","key":"6244_CR3","doi-asserted-by":"publisher","first-page":"282","DOI":"10.1002\/clc.23749","volume":"45","author":"XL LIN","year":"2022","unstructured":"LIN XL, SUN HX, LI FQ, et al. Admission high-sensitivity C-reactive protein levels improve the GRACE risk score prediction on in-hospital outcomes in acute myocardial infarction patients. Clin Cardiol. 2022;45(3):282\u201390.","journal-title":"Clin Cardiol"},{"issue":"1","key":"6244_CR4","doi-asserted-by":"publisher","first-page":"2736","DOI":"10.1186\/s12889-024-20048-0","volume":"24","author":"B Xu","year":"2024","unstructured":"Xu B, Wu Q, Yin G, Lu L, La R, Zhang Y, Alifu J, Zhang W, Guo F, Ji B, Abdu FA, Che W. Associations of cardiometabolic index with diabetic statuses and insulin resistance: the mediating role of inflammation-related indicators. BMC Public Health. 2024;24(1):2736.","journal-title":"BMC Public Health"},{"issue":"08","key":"6244_CR5","first-page":"678","volume":"45","author":"KY Wang","year":"2025","unstructured":"Wang KY, Yong JH, Tao J, et al. Predictive value of cardiometabolic index combined with triglyceride-glucose index for long-term prognosis in patients with acute myocardial infarction. Chin J Practical Intern Med. 2025;45(08):678\u201385.","journal-title":"Chin J Practical Intern Med"},{"key":"6244_CR6","doi-asserted-by":"publisher","first-page":"4574","DOI":"10.3390\/jcm10194574","volume":"10","author":"D Bauer","year":"2021","unstructured":"Bauer D, Tou\u0161ek P. Risk stratification of patients with acute coronary syndrome. J Clin Med. 2021;10:4574.","journal-title":"J Clin Med"},{"key":"6244_CR7","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1016\/j.ijcard.2016.06.014","volume":"219","author":"T Onda","year":"2016","unstructured":"Onda T, Inoue K, Suwa S, Nishizaki Y, Kasai T, Kimura Y, Fukuda K, Okai I, Fujiwara Y, Matsuoka J, Sumiyoshi M, Daida H. Reevaluation of cardiac risk scores and multiple biomarkers for the prediction of first major cardiovascular events and death in the drug-eluting stent era. Int J Cardiol. 2016;219:180\u20135.","journal-title":"Int J Cardiol"},{"issue":"18","key":"6244_CR8","doi-asserted-by":"publisher","first-page":"1735","DOI":"10.1016\/j.jacc.2022.08.767","volume":"80","author":"G Batra","year":"2022","unstructured":"Batra G, Lindb\u00e4ck J, Becker RC, Harrington RA, Held C, James SK, Kempf T, Lopes RD, Mahaffey KW, Steg PG, Storey RF, Swahn E, Wollert KC, Siegbahn A, Wallentin L. Biomarker-based prediction of recurrent ischemic events in patients with acute coronary syndromes. J Am Coll Cardiol. 2022;80(18):1735\u201347.","journal-title":"J Am Coll Cardiol"},{"issue":"24","key":"6244_CR9","doi-asserted-by":"publisher","first-page":"e139","DOI":"10.1016\/j.jacc.2014.09.017","volume":"64","author":"EA Amsterdam","year":"2014","unstructured":"Amsterdam EA, Wenger NK, Brindis RG, Casey DE Jr, Ganiats TG, Holmes DR Jr, Jaffe AS, Jneid H, Kelly RF, Kontos MC, Levine GN, Liebson PR, Mukherjee D, Peterson ED, Sabatine MS, Smalling RW, Zieman SJ. 2014 AHA\/ACC guideline for the management of patients with non-ST-elevation acute coronary syndromes: a report of the American college of cardiology\/American heart association task force on practice guidelines. J Am Coll Cardiol. 2014;64(24):e139\u2013228.","journal-title":"J Am Coll Cardiol"},{"issue":"2","key":"6244_CR10","first-page":"246","volume":"58","author":"Q Li","year":"2023","unstructured":"Li Q, Fang K, Liao ZH, Yao P, Zhu H. Predictive value of HEART score combined with interleukin-6, D-dimer, and anti-cardiolipin antibodies for 30-day major adverse cardiovascular events in emergency chest pain patients. J Zhengzhou Univ (Medical Sciences). 2023;58(2):246\u201350.","journal-title":"J Zhengzhou Univ (Medical Sciences)"},{"issue":"3","key":"6244_CR11","doi-asserted-by":"publisher","first-page":"325","DOI":"10.1080\/00325481.2018.1444901","volume":"130","author":"H Wang","year":"2018","unstructured":"Wang H, Chen Y, Sun G, Jia P, Qian H, Sun Y. Validity of cardiometabolic index, lipid accumulation product, and body adiposity index in predicting the risk of hypertension in Chinese population. Postgrad Med. 2018;130(3):325\u201333.","journal-title":"Postgrad Med"},{"issue":"6","key":"6244_CR12","doi-asserted-by":"publisher","first-page":"1253","DOI":"10.1007\/s40618-020-01417-z","volume":"44","author":"X Liu","year":"2021","unstructured":"Liu X, Wu Q, Yan G, Duan J, Chen Z, Yang P, Bragazzi NL, Lu Y, Yuan H. Cardiometabolic index: a new tool for screening the metabolically obese normal weight phenotype. J Endocrinol Investig. 2021;44(6):1253\u201361.","journal-title":"J Endocrinol Investig"},{"issue":"07","key":"6244_CR13","first-page":"723","volume":"50","author":"YM Li","year":"2022","unstructured":"Li YM, Shen CX, Shen E. Research progress of epicardial adipose tissue and cardiovascular diseases. Chin J Cardiol. 2022;50(07):723\u20137.","journal-title":"Chin J Cardiol"},{"issue":"04","key":"6244_CR14","first-page":"363","volume":"33","author":"Q Gao","year":"2025","unstructured":"Gao Q, Song XX, Zhang XR, et al. Research progress of perivascular adipose tissue involved in improving cardiovascular diseases. Chin J Arterioscler. 2025;33(04):363\u20138.","journal-title":"Chin J Arterioscler"},{"issue":"1","key":"6244_CR15","doi-asserted-by":"publisher","first-page":"71","DOI":"10.1007\/s11845-024-03849-5","volume":"194","author":"OC Ozbaltan","year":"2025","unstructured":"Ozbaltan OC, Cakmak S, Sogut O, Az A, Ogur H. Predictive value of NT-proBNP for major adverse cardiovascular events within a 6-month period in patients with acute coronary syndrome. Ir J Med Sci. 2025;194(1):71\u20137.","journal-title":"Ir J Med Sci"},{"key":"6244_CR16","doi-asserted-by":"publisher","first-page":"1711275","DOI":"10.3389\/fcvm.2025.1711275","volume":"12","author":"B Yan","year":"2026","unstructured":"Yan B, Wang Z, Liu Z. Combined point-of-care biomarkers for risk stratification in patients with non-ST-elevation acute coronary syndrome in the emergency department. Front Cardiovasc Med. 2026;12:1711275.","journal-title":"Front Cardiovasc Med"},{"key":"6244_CR17","doi-asserted-by":"crossref","unstructured":"Viet Tran A, To Tran N, Duy Nguyen K, Thi Nguyen D, Hoang Ngo T. Mortality prognosis of NGAL, NT-proBNP, hs-cTnT, and GRACE score in patients with acute coronary syndrome. Volume 50. IJC Heart & Vasculature; 2024. p. 101338.","DOI":"10.1016\/j.ijcha.2024.101338"},{"issue":"7","key":"6244_CR18","first-page":"705","volume":"46","author":"Y Li","year":"2023","unstructured":"Li Y, Hu AY, Luo LL, et al. Effect of high-sensitivity cardiac troponin as a selection criterion for healthy population on the reference range of N-terminal B-type natriuretic peptide. Chin J Lab Med. 2023;46(7):705\u201311.","journal-title":"Chin J Lab Med"},{"key":"6244_CR19","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1016\/j.carrev.2024.03.027","volume":"66","author":"K Eckrich","year":"2024","unstructured":"Eckrich K, Mangner N, Erbs S, et al. Baseline NT-proBNP predicts acute kidney injury following transcatheter aortic valve implantation. Cardiovasc Revascularization Med. 2024;66:15\u201320.","journal-title":"Cardiovasc Revascularization Med"},{"issue":"8","key":"6244_CR20","doi-asserted-by":"publisher","first-page":"635","DOI":"10.2217\/fca-2021-0137","volume":"18","author":"T Souaid","year":"2022","unstructured":"Souaid T, Hijazi Z, Barakett V, Sarkis A, Kadri Z, Batra G, Lindb\u00e4ck J, Abdelmassih T, Azar RR. Association of GDF-15, hs-cTnT and NT-proBNP with coronary artery disease in patients undergoing elective angiography. Future Cardiol. 2022;18(8):635\u201346.","journal-title":"Future Cardiol"},{"issue":"03","key":"6244_CR21","first-page":"207","volume":"41","author":"YY Qin","year":"2021","unstructured":"Qin YY, Li Y, Zheng L, et al. Research progress on novel anthropometric indicators for evaluating visceral obesity. Int J Endocrinol Metabolism. 2021;41(03):207\u201311.","journal-title":"Int J Endocrinol Metabolism"},{"issue":"07","key":"6244_CR22","first-page":"817","volume":"44","author":"MR Ma","year":"2023","unstructured":"Ma MR, Wang F, Ma L. Research progress in the interaction between oxidized low-density lipoprotein and platelets in atherosclerosis. Acad J Chin PLA Med School. 2023;44(07):817\u201320.","journal-title":"Acad J Chin PLA Med School"},{"issue":"05","key":"6244_CR23","first-page":"519","volume":"17","author":"J Pan","year":"2025","unstructured":"Pan J, Bai TT, Ding LL, et al. Causal association between small dense low-density lipoprotein and risk of coronary heart disease: a multivariable Mendelian randomization analysis. Chin J Evidence-Based Cardiovasc Med. 2025;17(05):519\u201323.","journal-title":"Chin J Evidence-Based Cardiovasc Med"},{"issue":"21","key":"6244_CR24","first-page":"3077","volume":"18","author":"YY Lu","year":"2021","unstructured":"Lu YY, Tang XF, Xia Q, et al. Predictive value of LDL-C\/HDL-C ratio for carotid plaque formation in individuals with abdominal obesity. Lab Med Clin. 2021;18(21):3077\u201380.","journal-title":"Lab Med Clin"},{"key":"6244_CR25","doi-asserted-by":"crossref","unstructured":"Hamana T, Gaynor BJ, Grogan A, Turoni-Glitz A, Kawakami R, Shiraki T, Sekimoto T, Tanaka T, Fujiyoshi K, Nakayama T, Adachi Y, Williams D, Diaz KM, Mitchell BD, Virmani R, Finn AV. Lipid-related polygenic risk score and its association with plaque rupture versus erosion. Arterioscler Thromb Vasc Biol. 2026;46(2):e323942.","DOI":"10.1161\/ATVBAHA.125.323942"},{"issue":"5","key":"6244_CR26","doi-asserted-by":"publisher","first-page":"288","DOI":"10.1016\/j.jcct.2019.03.006","volume":"13","author":"C Antoniades","year":"2019","unstructured":"Antoniades C, Kotanidis CP, Berman DS. State-of-the-art review article. Atherosclerosis affecting fat: What can we learn by imaging perivascular adipose tissue?. J Cardiovasc Comput Tomogr. 2019;13(5):288\u201396.","journal-title":"J Cardiovasc Comput Tomogr"},{"issue":"4","key":"6244_CR27","doi-asserted-by":"publisher","first-page":"1701","DOI":"10.1152\/physrev.00034.2018","volume":"99","author":"SN Saxton","year":"2019","unstructured":"Saxton SN, Clark BJ, Withers SB, Eringa EC, Heagerty AM. Mechanistic links between obesity, diabetes, and blood pressure: role of perivascular adipose tissue. Physiol Rev. 2019;99(4):1701\u201363.","journal-title":"Physiol Rev"},{"key":"6244_CR28","doi-asserted-by":"publisher","first-page":"101040","DOI":"10.1016\/j.arr.2020.101040","volume":"59","author":"M Queiroz","year":"2020","unstructured":"Queiroz M, Sena CM. Perivascular adipose tissue in age-related vascular disease. Ageing Res Rev. 2020;59:101040.","journal-title":"Ageing Res Rev"},{"key":"6244_CR29","unstructured":"Zhou X, Liu RH, Liu YT, et al. Predictive value of red blood cell distribution width combined with GRACE score for in-hospital major adverse cardiovascular events in elderly patients with acute coronary syndrome[J\/OL]. Chin J Front Med Sci (Electronic Version). 2025(03):41\u20137."},{"key":"6244_CR30","doi-asserted-by":"publisher","first-page":"957626","DOI":"10.3389\/fcvm.2022.957626","volume":"9","author":"S Pang","year":"2022","unstructured":"Pang S, Miao G, Zhou Y, Du Y, Rui Z, Zhao X. Addition of TyG index to the GRACE score improves prediction of adverse cardiovascular outcomes in patients with non-ST-segment elevation acute coronary syndrome undergoing percutaneous coronary intervention: a retrospective study. Front Cardiovasc Med. 2022;9:957626.","journal-title":"Front Cardiovasc Med"},{"key":"6244_CR31","doi-asserted-by":"publisher","first-page":"773200","DOI":"10.3389\/fcvm.2021.773200","volume":"8","author":"XT Ma","year":"2021","unstructured":"Ma XT, Shao QY, Li QX, Yang ZQ, Han KN, Liang J, Shen H, Liu XL, Zhou YJ, Wang ZJ. Nutritional risk index improves the GRACE score prediction of clinical outcomes in patients with acute coronary syndrome undergoing percutaneous coronary intervention. Front Cardiovasc Med. 2021;8:773200.","journal-title":"Front Cardiovasc Med"},{"issue":"2","key":"6244_CR32","first-page":"112","volume":"11","author":"O Yavcin","year":"2019","unstructured":"Yavcin O, Askin L, Se\u00e7en O, Turkmen S, Akturk E, Tanriverdi O, Necati Dagli M. Copeptin levels in patients with coronary artery ectasia. Interv Med Appl Sci. 2019;11(2):112\u20136.","journal-title":"Interv Med Appl Sci"}],"container-title":["BMC Cardiovascular Disorders"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12872-026-06244-3","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12872-026-06244-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1186\/s12872-026-06244-3.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,10,23]],"date-time":"2026-10-23T00:48:52Z","timestamp":1792716532000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/article\/10.1186\/s12872-026-06244-3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7,28]]},"references-count":32,"journal-issue":{"issue":"1","published-online":{"date-parts":[[2026,12]]}},"alternative-id":["6244"],"URL":"https:\/\/doi.org\/10.1186\/s12872-026-06244-3","relation":{"has-preprint":[{"id-type":"doi","id":"10.21203\/rs.3.rs-9651840\/v1","asserted-by":"object"}]},"ISSN":["1471-2261"],"issn-type":[{"value":"1471-2261","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,7,28]]},"assertion":[{"value":"8 May 2026","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"3 July 2026","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"28 July 2026","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"The study complied with the Declaration of Helsinki. This retrospective study utilized anonymized clinical data from the electronic medical record system of the Sixth Affiliated Hospital of South China University of Technology. Because the study involved no direct patient contact or intervention and all data were de-identified prior to analysis, the need for informed consent and formal ethical approval was waived by the hospital\u2019s Ethics Committee. Clinical Trial Number: Not applicable. This study is a retrospective study and was not registered on any clinical trial platform.","order":1,"name":"Ethics","label":"Ethics approval and consent to participate","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The participants voluntarily participated in this study and signed the informed consent form.","order":2,"name":"Ethics","label":"Consent for publication","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare no competing interests.","order":3,"name":"Ethics","label":"Competing interests","group":{"name":"EthicsHeading","label":"Declarations"}}],"article-number":"967"}}