دورية أكاديمية
A multi-center study to predict the risk of intraoperative hypothermia in gynecological surgery patients using preoperative variables.
| العنوان: | A multi-center study to predict the risk of intraoperative hypothermia in gynecological surgery patients using preoperative variables. |
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| المؤلفون: | Cao B; Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, PR China., Li Y; Department of Anesthesiology, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, PR China., Liu Y; Department of Pain Management, Guangdong Second Provincial General Hospital, Guangzhou 510317, PR China., Chen X; Department of Anesthesiology, Guangdong Women and Children Hospital, Guangzhou 510010, PR China., Liu Y; Department of Anesthesiology, Third People's Hospital of Shenzhen, Shenzhen 518112, PR China., Li Y; Department of Anesthesiology, Shenshan Medical Center, Memorial Hospital of Sun Yat-Sen University, Shanwei 516601, PR China., Wu Q; Department of Anesthesiology, Third People's Hospital of Shenzhen, Shenzhen 518112, PR China., Ji F; Department of Anesthesiology, Sun Yat-sen Memorial Hospital of Sun Yat-Sen University, Guangzhou 510120, PR China. Electronic address: jift@mail.sysu.edu.cn., Shu H; Department of Anesthesiology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou 510080, PR China; Guangdong Cardiovascular Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou 510080, PR China; School of Medicine, South China University of Technology, Guangzhou 510080, PR China. Electronic address: shuhaihua@hotmail.com. |
| المصدر: | Gynecologic oncology [Gynecol Oncol] 2024 Jun; Vol. 185, pp. 156-164. Date of Electronic Publication: 2024 Feb 29. |
| نوع المنشور: | Journal Article; Multicenter Study |
| اللغة: | English |
| بيانات الدورية: | Publisher: Academic Press Country of Publication: United States NLM ID: 0365304 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1095-6859 (Electronic) Linking ISSN: 00908258 NLM ISO Abbreviation: Gynecol Oncol Subsets: MEDLINE |
| أسماء مطبوعة: | Original Publication: New York, Academic Press. |
| مواضيع طبية MeSH: | Hypothermia*/etiology , Hypothermia*/epidemiology , Gynecologic Surgical Procedures*/adverse effects , Gynecologic Surgical Procedures*/methods , Intraoperative Complications*/etiology , Intraoperative Complications*/epidemiology , Nomograms*, Humans ; Female ; Middle Aged ; Retrospective Studies ; Adult ; Risk Factors |
| مستخلص: | Objectives: Hypothermia is highly common in patients undergoing gynecological surgeries under general anesthesia, so the length of hospitalization and even the risk of mortality are substantially increased. Our aim was to develop a simple and practical model to preoperatively identify gynecological surgery patients at risk of intraoperative hypothermia. Methods: In this retrospective study, we collected data from 802 patients who underwent gynecological surgery at three medical centers from June 2022 to August 2023. We further allocated the patients to a training group, an internal validation group, or an external validation group. The preliminary predictive factors for intraoperative hypothermia in gynecological patients were determined using the least absolute shrinkage and selection operator (LASSO) method. The final predictive factors were subsequently identified through multivariate logistic regression analysis, and a nomogram for predicting the occurrence of hypothermia was established. Results: A total of 802 patients were included, with 314 patients in the training cohort (mean age 48.5 ± 12.6 years), 130 patients in the internal validation cohort (mean age 49.9 ± 12.5 years), and 358 patients in the external validation cohort (mean age 47.6 ± 14.0 years). LASSO regression and multivariate logistic regression analyses indicated that body mass index, minimally invasive surgery, baseline heart rate, baseline body temperature, history of previous surgery, and aspartate aminotransferase level were associated with intraoperative hypothermia in gynecological surgery patients. This nomogram was constructed based on these six variables, with a C-index of 0.712 for the training cohort. Conclusions: We established a practical predictive model that can be used to preoperatively predict the occurrence of hypothermia in gynecological surgery patients. Clinical Trial Registration: chictr.org.cn, identifier ChiCTR2300071859. Competing Interests: Declaration of competing interest The authors declare that they have no competing interests. (Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.) |
| فهرسة مساهمة: | Keywords: Gynecological surgery; Hypothermia; Multi-center study; Predictive model |
| تواريخ الأحداث: | Date Created: 20240301 Date Completed: 20240614 Latest Revision: 20240614 |
| رمز التحديث: | 20240615 |
| DOI: | 10.1016/j.ygyno.2024.02.009 |
| PMID: | 38428331 |
| قاعدة البيانات: | MEDLINE |
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Full Text Finder | تدمد: | 1095-6859 |
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| DOI: | 10.1016/j.ygyno.2024.02.009 |