Chinese Journal of Tissue Engineering Research ›› 2025, Vol. 29 ›› Issue (9): 1820-1826.doi: 10.12307/2025.131
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Liu Yan, Wang Kai, Wu Min
Received:
2023-11-07
Accepted:
2024-02-20
Online:
2025-03-28
Published:
2024-10-10
Contact:
Wu Min, Associate chief physician, Department of Orthopedics, Taizhou Hospital of TCM, Taizhou 225300, Jiangsu Province, China
About author:
Liu Yan, Associate chief physician, Department of Orthopedics, Taizhou Hospital of TCM, Taizhou 225300, Jiangsu Province, China
CLC Number:
Liu Yan, Wang Kai, Wu Min. Relationship between coronal angle fluctuation of ankle point and recovery of joint function after ankle fracture[J]. Chinese Journal of Tissue Engineering Research, 2025, 29(9): 1820-1826.
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2.8 踝关节骨折患者术后踝穴冠状位角度变化对关节功能恢复的独立相关性 Logistic回归模型结果显示,术后3个月内的冠状位角度变化与关节功能恢复效果不良风险存在独立相关性(OR=1.57,95%CI:1.38-1.76,P=0.002)。与较低冠状位角度比较,较高的冠状位角度变化与关节功能恢复效果不良风险存在独立相关性(OR=1.75,95%CI:1.63-1.94,P=0.001)。与Q1组比较,随着冠状位角度逐渐增大(Q2-Q5),相关性效应值分别为(OR=1.82,95%CI:1.60-2.12,P=0.160)、(OR=1.75,95%CI:1.53-2.02,P=0.052)、(OR=1.72,95%CI:1.51-1.98,P=0.022)、(OR=1.59,95%CI:1.40-1.83,P < 0.001),趋势性检验存在统计学意义(P趋势< 0.001),见表8。"
2.10 建立预测模型 构建关节功能恢复效果不良事件发生的预测模型。多因素Logistic回归模型进行预测,将上述结果放入到回归方程y=1-1/(1+e-z)中,得到关节功能恢复效果不良事件预测的公式:P=1-1/(1+e0.372a-0.246b-0.568c-0.615d+1.147f+2.013g),其中,a=关节功能恢复效果,b=年龄过大,c=早期功能锻炼缺乏,d=无跟骨牵引,f=内固定物未取出,g=术后并发症。利用回归方程计算关节功能恢复效果不良事件发生的可能性,结果可知:P=0.60时,约登指数的数值最大,为80.835。表明模型预测效果较好。当P > 0.55时,表示踝关节骨折患者可能会出现关节功能恢复效果不良事件。此模型预测准确度为86.89%,敏感度、特异度为86.43%及83.77%。见表9。"
2.11 模型评价 验证上述预测模型的准确度。以患者实际是否发生关节功能恢复效果不良事件为状态变量,构建受试者工作特征曲线及校准曲线,并计算曲线下面积、预测概率及关节功能恢复效果不良的平均绝对误差,结果显示,内部验证前后的曲线下面积分别为0.868(95%CI:0.823-0.895)和0.842(95%CI:0.817-0.865),敏感度分别为88.25%及86.35%,特异度分别为90.38%及90.48%,平均绝对误差均为0.009,说明该模型有较高的区分度和校准度,且灵敏度和特异度良好,见图4,5及表10。 2.12 植入物与宿主的生物相容性 此次研究中所有患者均未发生植入物周围感染等局部反应、过敏反应及排斥反应,生物材料和植入物置入患者体内后无不良反应。"
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