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All patients with successful limb salvage were divided into two groups based on the occurrence of ischaemic muscle sequelae: the ischemic muscle sequelae group (IG) and the non-ischaemic muscle sequelae group (NG). Univariate and multivariate logistic regression analyses were used to identify potential predictive factors associated with ischaemic muscle sequelae. A predictive nomogram was constructed and internally validated.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Among the 102 patients, 30 cases (29.41%) developed ischaemic muscle sequelae. Independent predictors of ischaemic muscle sequelae were identified as crush injury, HCT, and CKMB. A nomogram was constructed based on these three parameters. The area under the receiver operating characteristic (ROC) curve of the predictive model was 0.894, indicating excellent discrimination. The calibration curve demonstrated a high degree of consistency between the predicted probabilities and the observed outcomes. Additionally, the decision curve analysis (DCA) showed that the nomogram model had good predictive capability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Our study demonstrated that crush injury, HCT, and CKMB were independent predictors of ischaemic muscle sequelae in patients with acute traumatic femoropopliteal artery injuries following revascularization. The nomogram integrating clinical factors and blood markers can assist physicians in conveniently predicting the risk of ischaemic muscle sequelae in patients.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1007\/s00264-025-06470-y","type":"journal-article","created":{"date-parts":[[2025,4,7]],"date-time":"2025-04-07T05:39:11Z","timestamp":1744004351000},"page":"1471-1482","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A nomogram for predicting ischaemic muscle sequelae after revascularization in patients with traumatic femoral-popliteal artery injuries: a retrospective cohort study"],"prefix":"10.1007","volume":"49","author":[{"given":"Huiyang","family":"Jia","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Heng","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Jin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Haofei","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qi","family":"Dong","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Wei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yingze","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Lin","family":"Liu","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhiyong","family":"Hou","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,4,7]]},"reference":[{"issue":"1","key":"6470_CR1","doi-asserted-by":"publisher","first-page":"60","DOI":"10.1097\/TA.0b013e31829880a0","volume":"75","author":"ZG Hashmi","year":"2013","unstructured":"Hashmi ZG, Haider AH, Zafar SN, Kisat M, Moosa A, Siddiqui F, Pardhan A, Latif A, Zafar H (2013) Hospital-based trauma quality improvement initiatives: first step toward improving trauma outcomes in the developing world. 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