{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T02:10:20Z","timestamp":1792030220657,"version":"4.4.0"},"reference-count":44,"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>The aim of this study was to construct a novel nomogram prediction model and to investigate the value of the new predictors in predicting perioperative deep vein thrombosis formation in lower limb traumatic closed fracture (LTCF).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>In this study, we reviewed data from 1,608 patients with LTCF, developed a new predictive model through analysis, and used Lasso regression to screen for the final reliable variables. Modeling was followed by using the ROC curve analysis, calculation of area under the ROC curve and Validation function. Calibration curves, decision curve analysis and clinical impact curves were used to comprehensively assess the performance of the model, and used to construct new predictors, inflammatory immune factors and traditional scores by using ROC analysis model, which was compared with the new predictive model.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The novel nomogram model was constructed with an AUC = 0.918, 95% CI: 0.894-0.942, C-index = 0.913. The new predictors (PHR and PDR), inflammatory-immune domain factors (NLR, PLR, and SII), and traditional scoring systems (Wells and Caprini) had AUC values of 0.689, 0.838, 0.552, 0.557, 0.542, 0.897, and 0.872.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>The novel nomogram model constructed in this study is feasible for predicting the occurrence of perioperative DVT in LTCF. PHR and PDR demonstrated superior predictive performance for perioperative DVT in LTCF patients, integrating platelet, metabolic, and fibrinolytic pathways. Associated inflammatory indices (NLR, PLR, SII) offered adjunctive risk assessment value. Threshold analysis indicated optimal performance at a 0.35 cutoff (F1 = 0.828), with perfect precision achievable at \u22650.65, highlighting the model's clinical adaptability through adjustable thresholds.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/10760296261427175","type":"journal-article","created":{"date-parts":[[2026,2,24]],"date-time":"2026-02-24T16:26:26Z","timestamp":1771950386000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["New Predictive Model and Predictors for Perioperative Deep Vein Thrombosis Formation in Fractures of the Lower Extremity Versus Traditional Scoring"],"prefix":"10.1177","volume":"32","author":[{"ORCID":"https:\/\/orcid.org\/0009-0001-7602-3415","authenticated-orcid":false,"given":"Xiaochao","family":"Zeng","sequence":"first","affiliation":[{"name":"Yueyang Hospital Affiliated to Hunan Normal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-8022-1020","authenticated-orcid":false,"given":"Hao","family":"Liu","sequence":"additional","affiliation":[{"name":"Yueyang Hospital Affiliated to Hunan Normal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-8362-7919","authenticated-orcid":false,"given":"Hao","family":"Yang","sequence":"additional","affiliation":[{"name":"Yueyang Hospital Affiliated to Hunan Normal University"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-9569-6440","authenticated-orcid":false,"given":"Wenjie","family":"Xu","sequence":"additional","affiliation":[{"name":"Yueyang Hospital Affiliated to Hunan Normal University"},{"name":"Department of Orthopedic, Yueyang People's Hospital, Yueyang, Hunan province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-2715-8301","authenticated-orcid":false,"given":"Zhizheng","family":"Xiong","sequence":"additional","affiliation":[{"name":"Yueyang Hospital Affiliated to Hunan Normal University"},{"name":"Department of Orthopedic, Yueyang People's Hospital, Yueyang, Hunan province, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2026,2,24]]},"reference":[{"key":"e_1_3_4_2_2","doi-asserted-by":"publisher","DOI":"10.1056\/NEJM199412153312401"},{"issue":"2","key":"e_1_3_4_3_2","article-title":"Prevention of VTE in orthopedic surgery patients: Antithrombotic therapy and prevention of thrombosis, 9th ed: American college of chest physicians evidence-based clinical practice guidelines","volume":"141","author":"Falck-Ytter Y","year":"2012","unstructured":"Falck-Ytter Y, Francis CW, Johanson NA, et al. 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