骨关节置换病人术后低体温影响因素分析及预测模型的构建

    Analysis of influencing factors and construction of prediction model for postoperative hypothermia in patients with bone and joint replacement

    • 摘要:
      目的 探讨骨关节置换病人术后发生低体温的影响因素,构建预测骨关节置换病人术后低体温风险预测模型。
      方法 选取300例骨关节置换手术病人为研究对象,根据术后体温分为低体温组(81例)和非低体温组(219例),采用单因素分析和logistic回归分析对各风险因素进行分析,并建立预测骨关节置换病人术后发生低体温的列线图模型。
      结果 共81例(27.0%)病人存在术后低体温。单因素分析显示,与非低体温组比较,低体温组病人年龄大、体质量指数(BMI)小、血红蛋白低、出血量多、麻醉时间长、ASA分级Ⅲ级占比高、术中补液量<2 000 mL率高、术中输血率高,差异均有统计学意义(P<0.05~P<0.01);多因素logistic回归分析结果显示,年龄大、血红蛋白低、ASA分级高、BMI低、术中补液量少、术中输血是骨关节置换病人术后低体温的独立危险因素(P<0.05~P<0.01)。构建列线图模型,该模型预测骨关节置换病人术后低体温发生的曲线下面积为0.791(95%CI: 0.731~0.851),灵敏度为82.7%,特异度为76.5%。内部验证前后列线图模型的H-L偏差性检验显示列线图模型拟合较好(P>0.05);Bootstrap方法重复抽样1 000次验证列线图,提示列线图模型具有较好的校准度。
      结论 年龄、血红蛋白、ASA分级、BMI、术中补液量、术中输血是骨关节置换病人术后低体温的独立影响因素。应用列线图个体化地评估骨关节置换病人术后低体温的发生率,进而采取针对性措施保护低体温高风险病人,可以降低其低体温病人的发生率。

       

      Abstract:
      Objective To explore the influencing factors of postoperative hypothermia in patients treated with bone and joint replacement surgery, and construct a risk prediction model for postoperative hypothermia in these patients.
      Methods A total of 300 patients treated with orthopedic joint replacement surgery were selected, and divided into the hypothermia group(81 cases) and non-hypothermia group(219 cases) according to the postoperative temperature.Univariate analysis and logistic regression analysis were used to analyze various risk factors, and a nomogram model for predicting postoperative hypothermia in bone and joint replacement patients was established.
      Results The postoperative hypothermia in 81 patients(27.0%) were found.The results of univariate analysis showed that, compared to the non-hypothermia group, patients in the hypothermia group were older, lower body mass index (BMI), lower hemoglobin, more blood loss, longer anesthesia time, higher proportion of ASA grade Ⅲ, higher rate of intraoperative fluid volume < 2 000 mL, and higher rate of intraoperative blood transfusion, with statistical significance(P < 0.05 to P < 0.01).The results of multivariate logistic regression analysis showed that old age, low hemoglobin, high ASA grade, low BMI, low intraoperative fluid volume and intraoperative blood transfusion were the independent risk factors of postoperative hypothermia in bone and joint replacement patients(P < 0.05 to P < 0.01).A nomogram model was constructed.The area under the curve of the model was 0.791(95%CI: 0.731-0.851), the sensitivity was 82.7%, and the specificity was 76.5%.The H-L deviation test of the nomogram model before and after internal verification showed that the nomogram model fitted well(P>0.05).The Bootstrap method repeated sampling 1 000 times to verify the nomogram, which indicated that the nomogram model had a good calibration degree.
      Conclusions Age, hemoglobin levels, ASA class, BMI, intraoperative fluid infusion, and intraoperative blood transfusion are the independent influencing factors of postoperative hypothermia in bone and joint replacement patients.The incidence of hypothermia after bone and joint replacement can be evaluated individually by using the nomogram, and then targeted measures are taken to protect high-risk patients with hypothermia to reduce the incidence of hypothermia.

       

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