{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,5]],"date-time":"2026-05-05T01:16:20Z","timestamp":1777943780259,"version":"3.51.4"},"reference-count":22,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"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":["J Int Med Res"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>The present study aimed to develop a clinical prediction model for intraoperative hypothermia in patients undergoing thoracic spinal surgery, with the objective of supporting decision-making in clinical care and anesthesia management.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>A total of 600 patients were enrolled in this retrospective cohort study. The dataset was randomly divided into training (70% of all data) and validation (30% of all data) sets using sample function in R language. Based on the results of the multivariable binary logistic regression analysis, a nomogram was developed and evaluated using R language. Calibration was performed by comparing the predicted and actual probability curves using the \u2018rms\u2019 package. The \u2018ggDCA\u2019 package was used to construct decision analysis curves for evaluating clinical utility.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>A least absolute shrinkage and selection operator binary logistic regression model was constructed to identify 5 potential risk factors from the 14 variables previously identified. These five risk factors, including duration of anesthesia, preoperative body temperature, body mass index, number of diseased vertebrae, and reason for surgery, were then validated using logistic regression models. The concordance index was calculated as 0.919.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Tumor-related spinal surgery, multilevel procedures, prolonged surgical duration, low preoperative temperature, and low body mass index were associated with a higher risk of intraoperative hypothermia. These factors may help guide targeted warming strategies in patients undergoing thoracic spinal surgery.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/03000605261442800","type":"journal-article","created":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T05:16:58Z","timestamp":1777439818000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Risk factors for intraoperative hypothermia in patients undergoing thoracic spinal surgery: A retrospective cohort study"],"prefix":"10.1177","volume":"54","author":[{"given":"Yu","family":"Wang","sequence":"first","affiliation":[{"name":"the First Affiliated Hospital of Soochow University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuequn","family":"Yin","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital of Soochow University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Aifen","family":"Pan","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital of Soochow University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fangqin","family":"Jiang","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital of Soochow University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xinmei","family":"Zhang","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital of Soochow University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0005-1646-1295","authenticated-orcid":false,"given":"Xiaowei","family":"Lin","sequence":"additional","affiliation":[{"name":"the First Affiliated Hospital of Soochow University"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2026,4,28]]},"reference":[{"key":"e_1_3_6_2_2","first-page":"e74979","article-title":"Peri-operative hypothermia in trauma patients: a retrospective cohort analysis at a busy district general hospital within the National Health Service (NHS)","volume":"16","author":"Habib Z","year":"2024","unstructured":"Habib Z, Arifuzaman M, Elbeltagi A, et\u00a0al. Peri-operative hypothermia in trauma patients: a retrospective cohort analysis at a busy district general hospital within the National Health Service (NHS). Cureus 2024; 16: e74979.","journal-title":"Cureus"},{"key":"e_1_3_6_3_2","first-page":"166","article-title":"Preventing inadvertent perioperative hypothermia","volume":"112","author":"Torossian A","year":"2015","unstructured":"Torossian A, Br\u00e4uer A, H\u00f6cker J, et\u00a0al. Preventing inadvertent perioperative hypothermia. Dtsch Arztebl Int 2015; 112: 166\u2013172.","journal-title":"Dtsch Arztebl Int"},{"key":"e_1_3_6_4_2","doi-asserted-by":"publisher","DOI":"10.1089\/ther.2024.0041"},{"key":"e_1_3_6_5_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinane.2015.03.023"},{"key":"e_1_3_6_6_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12893-024-02729-0"},{"key":"e_1_3_6_7_2","doi-asserted-by":"publisher","DOI":"10.1007\/s00586-025-09209-w"},{"key":"e_1_3_6_8_2","doi-asserted-by":"publisher","DOI":"10.7326\/0003-4819-147-8-200710160-00010"},{"key":"e_1_3_6_9_2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm15010031"},{"key":"e_1_3_6_10_2","first-page":"196","article-title":"Mild hypothermia in improving multiple organ dysfunction after cardiac arrest","volume":"1","author":"Yang L","year":"2010","unstructured":"Yang L, Zhao XM, Liu LJ. Mild hypothermia in improving multiple organ dysfunction after cardiac arrest. World J Emerg Med 2010; 1: 196\u2013200.","journal-title":"World J Emerg Med"},{"key":"e_1_3_6_11_2","doi-asserted-by":"publisher","DOI":"10.1097\/MD.0000000000047325"},{"key":"e_1_3_6_12_2","doi-asserted-by":"publisher","DOI":"10.3389\/fmed.2022.824395"},{"key":"e_1_3_6_13_2","doi-asserted-by":"publisher","DOI":"10.3389\/fonc.2025.1684794"},{"key":"e_1_3_6_14_2","doi-asserted-by":"publisher","DOI":"10.1097\/00003246-200002000-00005"},{"key":"e_1_3_6_15_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclinane.2019.03.011"},{"key":"e_1_3_6_16_2","doi-asserted-by":"publisher","DOI":"10.1097\/ALN.0b013e31817f6d76"},{"key":"e_1_3_6_17_2","doi-asserted-by":"publisher","DOI":"10.1155\/2019\/1438793"},{"key":"e_1_3_6_18_2","first-page":"e29305","article-title":"Preoperative forced-air warming strategy: is it effective in averting intraoperative hypothermia in elderly trauma surgical patients?","volume":"14","author":"Chataule SM","year":"2022","unstructured":"Chataule SM, Hazarika A, Jain K, et\u00a0al. Preoperative forced-air warming strategy: is it effective in averting intraoperative hypothermia in elderly trauma surgical patients? 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