{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T19:58:15Z","timestamp":1780084695652,"version":"3.54.0"},"reference-count":50,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T00:00:00Z","timestamp":1744243200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"This study was supported by the Scientific research project of Sichuan Nursing Society.","award":["H22004"],"award-info":[{"award-number":["H22004"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Phlebology"],"published-print":{"date-parts":[[2025,7]]},"abstract":"<jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To investigate the incidence and risk factors for lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Design<\/jats:title>\n                    <jats:p>A retrospective study.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Four hundred and one elderly patients (defined as aged \u226560\u00a0years) with severe traumatic brain injury who had undergone surgery and were admitted to the intensive care unit were enrolled in this study. We collected data on the incidence of lower extremity deep vein thrombosis and analyzed its influencing factors. Binary logistic regression analysis was employed to assess the associations between these factors and the occurrence of DVT. A nomogram was developed, and calibration curves were utilized to evaluate the model\u2019s accuracy. Additionally, a receiver operating characteristic curve was employed to assess the model\u2019s clinical discriminatory power.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>The incidence of lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit was 25.69%. The final nomogram included age, intraoperative hypothermia, intraoperative bleeding volume, surgery time, D-dimer level, any organ failure, and body mass index as independent risk factors. The standard curve fit well with the calibrated prediction curve. The area under the receiver operating characteristic curve was 0.976 (95% CI: 0.958\u20130.994), and the model had good discrimination ability and reliability.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>The risk factors for lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit can be preliminarily assessed via the nomogram prediction model. This information may help guide medical staff in making reasonable decisions regarding the management of deep vein thrombosis prophylaxis.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patient or Public Contribution<\/jats:title>\n                    <jats:p>Elderly postoperative patients with severe traumatic brain injury in the intensive care unit participated in the retrospective investigation of this study.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/02683555251332988","type":"journal-article","created":{"date-parts":[[2025,4,10]],"date-time":"2025-04-10T03:40:01Z","timestamp":1744256401000},"page":"446-455","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["A nomogram for predicting risk factors for lower limb deep venous thrombosis in elderly postoperative patients with severe traumatic brain injury in the intensive care unit"],"prefix":"10.1177","volume":"40","author":[{"given":"Zhihong","family":"Tang","sequence":"first","affiliation":[{"name":"Department of Critical Care Medicine, West China Hospital\/West China School of Nursing, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0973-4986","authenticated-orcid":false,"given":"Na","family":"Li","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, West China Hospital\/West China School of Nursing, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yongming","family":"Tian","sequence":"additional","affiliation":[{"name":"Department of Critical Care Medicine, West China Hospital\/West China School of Nursing, Sichuan University, Chengdu, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2025,4,10]]},"reference":[{"key":"e_1_3_6_2_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12028-022-01547-7"},{"key":"e_1_3_6_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.mcna.2019.11.001"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12051716"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.1055\/s-0034-1398386"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1111\/j.1538-7836.2010.03986.x"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12877-022-03599-y"},{"issue":"6","key":"e_1_3_6_8_2","first-page":"35","article-title":"Development and evaluation of a prediction model for lower limb deep venous thrombosis in critically ill patients","volume":"36","author":"Chen Y","year":"2021","unstructured":"Chen Y, Qin X, Q S. 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