{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,4]],"date-time":"2026-05-04T13:40:52Z","timestamp":1777902052520,"version":"3.51.4"},"reference-count":20,"publisher":"SAGE Publications","issue":"4","license":[{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"},{"start":{"date-parts":[[2025,10,1]],"date-time":"2025-10-01T00:00:00Z","timestamp":1759276800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Special Research on Perioperative Nursing Quality Control Management by National Health Commission Hospital Management Research Institute"},{"name":"the Key Research and Development Plan Project of Xianyang City, Shaanxi Province","award":["S2024-ZDYF-ZDYF-SF-3032"],"award-info":[{"award-number":["S2024-ZDYF-ZDYF-SF-3032"]}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Science Progress"],"published-print":{"date-parts":[[2025,10]]},"abstract":"<jats:p>\n                    To develop a predictive model to assess the risk of peri-operative hypothermia occurrence in children undergoing thoracoscopic lobectomy and validate its effectiveness. 172 children who underwent thoracoscopic lobectomy were randomly divided into a training set of 124 cases and a validation set of 48 cases in a 7:3 ratio. The study found a 33.1% incidence of intraoperative hypothermia (IPH) in children undergoing thoracoscopic lobectomy. Logistic regression analysis was performed using SPSS 26.0 to screen influencing factors, establish a risk prediction model, and draw the receiver-operating characteristic curve. Univariate analysis identified anesthesia-skin incision time, operating-room temperature, humidity, basal body temperature, end body temperature, and body temperature half an hour after anesthesia as influencing factors. Multivariate logistic regression revealed anesthesia-skin incision time (odds ratio (OR) = 1.595), operating-room humidity (OR = 4.094), and body temperature half an hour after anesthesia (OR = 112.595) as independent predictors. The nomogram model demonstrated an excellent discrimination with area under the curve (AUC) of 0.989 (95% confidence interval (CI): 0.976\u20131.000), maximum Youden index of 0.94, sensitivity of 1, specificity of 0.94, and cutoff value of 0.195. The Hosmer-Lemeshow test (\n                    <jats:italic toggle=\"yes\">\u03c7<\/jats:italic>\n                    <jats:sub>2<\/jats:sub>\n                    = 1.751, P = 0.195) and bootstrap resampling (consistency coefficient = 0.947) confirmed the model's goodness of fit, internal consistency, and stability. Validation set results are similar to those in the training set, with an AUC of 0.989 (95% CI: 0.969\u20131.000), a sensitivity of 1, a specificity of 0.929, and a calibration curve error of 0.032 (&lt;0.05), indicating high predictive accuracy. These findings suggest nomogram is a robust tool for predicting IPH in the pediatric thoracoscopic lobectomy.\n                  <\/jats:p>","DOI":"10.1177\/00368504251386310","type":"journal-article","created":{"date-parts":[[2025,10,9]],"date-time":"2025-10-09T16:21:54Z","timestamp":1760026914000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":0,"title":["Construction and validation of a risk prediction model for intraoperative hypothermia in children undergoing thoracoscopic lobectomy"],"prefix":"10.1177","volume":"108","author":[{"given":"Xiongtao","family":"Liu","sequence":"first","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hua","family":"Lin","sequence":"additional","affiliation":[{"name":"Nursing Department, Baoji Central Hospital, Baoji, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanzhen","family":"Li","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chunli","family":"Dong","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ting","family":"Wang","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xia","family":"Wang","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qiqi","family":"Yan","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruzhong","family":"Liu","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Liyan","family":"Zhao","sequence":"additional","affiliation":[{"name":"The Second Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Juan","family":"Xiao","sequence":"additional","affiliation":[{"name":"The First Affiliated Hospital of Xi'an Jiaotong University"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-4505-3142","authenticated-orcid":false,"given":"Xiaohui","family":"Gou","sequence":"additional","affiliation":[{"name":"Department of Anesthesiology and Surgery, The First People's Hospital of Xianyang, Xianyang, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2025,10,9]]},"reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(22)00560-8"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.3390\/jcm12227018"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s12630-023-02492-5"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.3389\/fped.2023.1113627"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.jopan.2021.02.011"},{"key":"e_1_3_3_7_2","unstructured":"National Health Commission of the People's Republic of China. Action Plan for Improving Surgical Quality and Safety (2023\u20132025). http:\/\/www.nhc.gov.cn\/yzygj\/s7657\/202308\/e2c43dee9d474a058ec42f366a48542a.shtml."},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1186\/s12893-024-02729-0"},{"key":"e_1_3_3_9_2","first-page":"115","article-title":"Analysis of risk factors for hypothermia during thoracoscopic lobectomy","volume":"17","author":"Tingjing Z","year":"2024","unstructured":"Tingjing Z, Yikai W, Huaguang P, et al. Analysis of risk factors for hypothermia during thoracoscopic lobectomy. Chin J Lung Dis (Electron Ed) 2024; 17: 115\u2013118.","journal-title":"Chin J Lung Dis (Electron Ed)"},{"key":"e_1_3_3_10_2","first-page":"2083","article-title":"Effect of preoperative TEAS prewarming strategy on post-anesthesia recovery and postoperative cognitive function in elderly patients undergoing thoracoscopic lobectomy","volume":"50","author":"Chao F","year":"2021","unstructured":"Chao F, Jianjuan K. 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