{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,11]],"date-time":"2026-09-11T12:25:39Z","timestamp":1789129539021,"version":"build-2803163510"},"reference-count":27,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Appl Thromb Hemost"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>To develop a nomogram for predicting coronary artery calcification (CAC) in atherosclerosis patients using Achilles tendon cross-sectional area (CSA), tendon mechanical parameters, and a combined nutrition score.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>This case-control study included atherosclerosis patients from January 2021 to January 2025. Data collected included Achilles tendon CSA, lipid content, Young\u2019s modulus, and the triglyceride\u2013total cholesterol\u2013body weight index (TCBI). Multivariable logistic regression was used to identify predictors of CAC. A nomogram was constructed using R, and its clinical utility was evaluated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A total of 279 patients were analyzed and randomly assigned to training (n=195) and validation (n=84) sets. Multivariable analysis identified CSA [OR=1.23 (1.13\u20131.33)], Young\u2019s modulus [OR=0.17 (0.05\u20130.58)], and TCBI [OR=2.26 (1.30\u20133.91)] as independent predictors of CAC (all P&lt;0.05). The prediction model was: logit(P)= 5.22+0.20*CSA-1.76*Young\u2019s modulus+0.81*TCBI. The AUC values were 0.91 (0.87\u20130.95) for the training set and 0.84 (0.76\u20130.92) for the validation set. The Hosmer\u2013Lemeshow test yielded P=0.962 and 0.837, and calibration curves showed good concordance. Decision curve analysis indicated net clinical benefit across risk thresholds of 2%\u201398% in the training set and 10%\u201398% in the validation set.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The nomogram incorporating Achilles tendon CSA, mechanical parameters, and TCBI effectively predicts CAC in atherosclerosis patients. The underlying mechanisms of abnormal lipid deposition and chronic inflammation provide a theoretical basis for targeted therapeutic strategies.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10760296261483900","type":"journal-article","created":{"date-parts":[[2026,9,7]],"date-time":"2026-09-07T22:20:45Z","timestamp":1788819645000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["A Nomogram for Predicting Coronary Artery Calcification Using Achilles Tendon Cross-Sectional Area, Mechanical Parameters, and TCBI"],"prefix":"10.1177","volume":"32","author":[{"given":"Qing","family":"Wu","sequence":"first","affiliation":[{"name":"The First Affiliated Hospital of Soochow University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jing","family":"Gao","sequence":"additional","affiliation":[{"name":"The First Affiliated Hospital of Soochow University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0004-5917-0773","authenticated-orcid":false,"given":"Juan","family":"Chen","sequence":"additional","affiliation":[{"name":"The First Affiliated Hospital of Soochow University"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,9,7]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.123.065657"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.carrev.2024.03.001"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/toxins15040293"},{"issue":"2","key":"e_1_3_6_5_2","first-page":"199","article-title":"HPDA\/Zn as a CREB Inhibitor for Ultrasound Imaging and Stabilization of Atherosclerosis Plaque","volume":"41","author":"Linzi C","year":"2022","unstructured":"Linzi C, Zhengqi J, Lifei Y. HPDA\/Zn as a CREB Inhibitor for Ultrasound Imaging and Stabilization of Atherosclerosis Plaque. Chinese Journal of Chemistry. 2022;41(2):199-206.","journal-title":"Chinese Journal of Chemistry"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11883-023-01151-w"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.1161\/ATVBAHA.123.320138"},{"key":"e_1_3_6_8_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jjcc.2021.11.013"},{"key":"e_1_3_6_9_2","doi-asserted-by":"publisher","DOI":"10.1097\/WON.0000000000001069"},{"key":"e_1_3_6_10_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.cca.2022.02.021"},{"key":"e_1_3_6_11_2","doi-asserted-by":"publisher","DOI":"10.1136\/bmj.d5497"},{"key":"e_1_3_6_12_2","doi-asserted-by":"publisher","DOI":"10.1111\/jocd.14500"},{"key":"e_1_3_6_13_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jjcc.2021.09.021"},{"key":"e_1_3_6_14_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jjcc.2023.07.007"},{"key":"e_1_3_6_15_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11748-023-01949-0"},{"key":"e_1_3_6_16_2","doi-asserted-by":"publisher","DOI":"10.2147\/CIA.S312129"},{"key":"e_1_3_6_17_2","doi-asserted-by":"publisher","DOI":"10.62347\/PLQF5135"},{"key":"e_1_3_6_18_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIR.0000000000001039"},{"key":"e_1_3_6_19_2","doi-asserted-by":"publisher","DOI":"10.1093\/jbmr\/zjae022"},{"key":"e_1_3_6_20_2","doi-asserted-by":"publisher","DOI":"10.1080\/14779072.2023.2197594"},{"key":"e_1_3_6_21_2","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.122.062746"},{"key":"e_1_3_6_22_2","doi-asserted-by":"publisher","DOI":"10.1111\/sms.14178"},{"key":"e_1_3_6_23_2","doi-asserted-by":"publisher","DOI":"10.1002\/jor.25654"},{"key":"e_1_3_6_24_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12891-025-08430-4"},{"key":"e_1_3_6_25_2","doi-asserted-by":"publisher","DOI":"10.2169\/internalmedicine.8142-21"},{"issue":"1","key":"e_1_3_6_26_2","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1007\/s00392-023-02220-5","article-title":"A simply calculated nutritional index provides clinical implications in patients undergoing transcatheter aortic valve replacement","volume":"113","author":"Sudo M","year":"2024","unstructured":"Sudo M, Shamekhi J, Aksoy A, et al. A simply calculated nutritional index provides clinical implications in patients undergoing transcatheter aortic valve replacement. 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