Chinese Journal of Tissue Engineering Research ›› 2026, Vol. 30 ›› Issue (27): 7142-7150.doi: 10.12307/2026.758
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Bu Jianwen, Xie Zengru, Ma Chuang
Received:2025-08-04
Accepted:2025-09-30
Online:2026-09-28
Published:2026-05-22
About author:Bu Jianwen, MS, Attending physician, Department of Trauma Orthopedics, The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, Xinjiang Uyghur Autonomous Region, China
Supported by:CLC Number:
Bu Jianwen, Xie Zengru, Ma Chuang. Healing characteristics and influencing factors of large-segment infectious bone defect of tibia repaired by bone transfer[J]. Chinese Journal of Tissue Engineering Research, 2026, 30(27): 7142-7150.
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2.4 两组患者相关指标比较 两组患者在长期吸烟史、合并糖尿病、软组织损伤、合并腓骨骨折、伤口感染、术后6周内开始负重、搬移方向、骨搬移距离、骨特异碱性磷酸酶、骨钙素N端中分子片段、Ⅰ型前胶原氨基末端前肽水平之间差异均有显著性意义(P < 0.05),两组患者其余指标相比差异均无显著性意义(P > 0.05),见表3。 2.5 构建血清骨转化标志物动态变化与骨愈合情况的联合模型 2.5.1 血清骨特异碱性磷酸酶动态变化与骨愈合情况的联合模型 Cox生存模型引入的变量包括年龄、性别及骨特异碱性磷酸酶的纵向变化。α有统计学意义(P < 0.05),即骨特异碱性磷酸酶每纵向下降1 U/L,愈合不良的风险增加3%,见表4。 2.5.2 血清骨钙素N端中分子片段动态变化与骨愈合情况的联合模型 Cox生存模型引入的变量包括年龄、性别及骨钙素N端中分子片段的纵向变化。α有统计学意义(P < 0.05),即骨钙素N端中分子片段每纵向下降1 ng/mL,愈合不良的风险增加2%,见表5。2.5.3 血清Ⅰ型前胶原氨基末端前肽动态变化与骨愈合情况的联合模型 Cox生存模型引入的变量包括年龄、性别及Ⅰ型前胶原氨基末端前肽的纵向变化。α有统计学意义(P < 0.05),即Ⅰ型前胶原氨基末端前肽每纵向下降1 ng/mL,愈合不良的风险增加4%,见表6。"
2.6 影响患者骨愈合的危险因素分析 以表1中两组差异显著(P < 0.05)的指标为自变量,以是否发生骨愈合不良为因变量,纳入LASSO回归分析模型,见图2。初始纳入的自变量系数随惩罚系数λ的变化逐步减小,采用最小准则10倍交叉验证最优惩罚系数λ,并将λ+1作为模型最优值,最终筛选出的指标为:骨特异碱性磷酸酶、软组织损伤、骨钙素N端中分子片段、Ⅰ型前胶原氨基末端前肽、术后6周内开始负重、伤口感染、合并腓骨骨折。将筛选后的变量纳入多因素Logistic回归分析,结果显示,软组织损伤、术后6周内开始负重、伤口感染、合并腓骨骨折及骨特异碱性磷酸酶、骨钙素N端中分子片段、Ⅰ型前胶原氨基末端前肽水平降低均为影响患者愈合的独立危险因素(P < 0.05),见表7。以上变量经共线性诊断,结果显示方差膨胀因子均小于10,提示各相关因素间不存在共线性,见表8。 2.7 不同水平骨特异碱性磷酸酶、骨钙素N端中分子片段、Ⅰ型前胶原氨基末端前肽与胫骨大段感染性骨缺损患者愈合不良的关联效应分析 将骨特异碱性磷酸酶、骨钙素N端中分子片段、Ⅰ型前胶原氨基末端前肽逐层划分(Q1-Q4),建立Cox模型逐步排除存在共线性的混杂因素。校正患者性别、年龄、体质量指数、饮酒史、文化程度等指标,消除混杂因素的影响。 在未经调整的Cox比例风险模型(未校正模型)中,骨特异碱性磷酸酶、骨钙素N端中分子片段及Ⅰ型前胶原氨基末端前肽和胫骨大段感染性骨缺损患者愈合不良风险显著相关(P < 0.001),调整后(模型4),骨特异碱性磷酸酶(HR=0.67,95%CI:0.54-0.87,P < 0.001)、骨钙素N端中分子片段(HR=0.80,95%CI:0.55-0.99,P < 0.001)、Ⅰ型前胶原氨基末端前肽(HR=0.85,95%CI:0.43-0.97,P < 0.001)仍是胫骨大段感染性骨缺损患者愈合不良的重要因素。随着骨特异碱性磷酸酶、骨钙素N端中分子片段及Ⅰ型前胶原氨基末端前肽水平的降低(Q2-Q4),其关联效应也相应增高,趋势性检验差异均有显著性意义(P趋势< 0.05),见表9。 2.8 建立预测模型并验证 构建愈合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,得到愈合不良事件预测的公式: P=1-1/(1+e0.355a-0.240b-0.552c-0.610d+1.132e+2.005f+0.654g)。 其中a为软组织损伤,b为骨特异碱性磷酸酶,c为骨钙素N端中分子片段,d为Ⅰ型前胶原氨基末端前肽,e为术后6周内开始负重,f为伤口感染,g为合并腓骨骨折。利用回归方程计算愈合不良事件发生的可能性。结果可知:P=0.60时,约登指数数值最大,为80.836。表明模型预测效果较好。当P > 0.55时,表示胫骨大段感染性骨缺损患者可能会出现愈合不良事件。此模型预测准确度为86.87%,敏感度、特异度为86.41%,83.75%。见表10。"
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