目的:探讨股骨颈骨折患者术后早期股骨头坏死的危险因素。建立列线图预测模型。
方法:选择2020年1月至2022年4月收治的167例股骨颈骨折患者,根据术后早期是否发生股骨头坏死分为坏死组和非坏死组。坏死组男性21例,女性17例,年龄从33岁到72岁,平均年龄(53.49±10.96)岁,从受伤到手术的时间从40到67小时不等,平均时间(53.46±7.23)小时。非坏死组男性72例,女性57例,年龄从18岁到83岁,平均年龄(52.78±12.55)岁,从受伤到手术的时间是18到65小时,平均时间(39.88±7.79)小时。潜在的影响因素,包括患者性别,糖尿病,高血压,慢性肝病,股骨头的后倾角,操作模式,断裂位移,断裂线位置,术前制动牵引,螺杆排列方式,还原质量,年龄,体重指数(BMI),并对损伤时间进行单因素分析。对显著性水平为P<0.05的因素进行Logistic多因素回归分析。
结果:167例股骨颈骨折患者股骨头坏死发生率为22.76%。以下因素是股骨颈骨折患者术后早期股骨头坏死的独立危险因素:合并糖尿病[OR=5.139,95CI(1.405,18.793),P=0.013],移位骨折[OR=3.723,95CI(1.105,12.541),P=0.034],术前固定[OR=3.444,95CI(1.038,11.427),P=0.043],还原质量[OR=3.524,95CI(1.676,7.411),P=0.001],从受伤到手术的时间[OR=1.270,95CI(1.154,1.399),P=0.000]。Hosmer-Lemeshow拟合优度检验(χ2=3.951,P=0.862),受试者操作特征(ROC)曲线下面积为0.944[P<0.001,95CI(0.903,0.987)],灵敏度为89.50%,特异性为88.40%,优登指数最大值为0.779,模型校正曲线总体趋势接近理想曲线。模型回归方程为Z=1.637×糖尿病+1.314×骨折位移+1.237×术前制动牵引力+1.260×复位质量+0.239×损伤手术时间-18.310。
结论:股骨颈骨折患者术后早期股骨头坏死的发生受多种因素的影响。根据影响因素建立的风险预警模型具有较好的预测效能。
OBJECTIVE: To explore the risk factors of early femoral head necrosis in patients with femoral neck fracture after operation, and to establish a nomogram prediction model.
METHODS: A total of 167 patients with femoral neck fracture from January 2020 to April 2022 were selected and divided into necrosis group and non-necrosis group according to whether femoral head necrosis occurred in the early postoperative period. There were 21 males and 17 females in the necrosis group, aged from 33 to 72 years old, with an average of (53.49±10.96) years old, and the time from injury to operation ranged from 40 to 67 hours, with average time of(53.46±7.23) hours. There were 72 males and 57 females in the non-necrosis group, aged from 18 to 83 years, with an average of (52.78±12.55) years old, and the time from injury to operation was 18 to 65 hours, with an average time of(39.88±7.79) hours. The potential influencing factors, including patient gender, diabetes mellitus, hypertension, chronic liver disease, posterior inclination angle of the femoral head, operation mode, fracture displacement, fracture line location, preoperative braking traction, screw arrangement mode, reduction quality, age, body mass index(BMI), and injury to operation time were subjected to single factor analysis. Logistic multivariate regression analysis was conducted for factors with a significance level of P<0.05.
RESULTS: The incidence of femoral head necrosis in 167 patients with femoral neck fracture was 22.76%. The following factors were identified as independent risk factors for early postoperative femoral head necrosis in patients with femoral neck fractures:coexisting diabetes[OR=5.139, 95%CI(1.405, 18.793), P=0.013], displaced fracture [OR=3.723, 95%CI(1.105, 12.541), P=0.034], preoperative immobilization[OR=3.444, 95%CI(1.038, 11.427), P=0.043], quality of reduction [OR=3.524, 95%CI(1.676, 7.411), P=0.001], and time from injury to surgery[OR=1.270, 95%CI(1.154, 1.399), P=0.000]. The Hosmer-Lemeshow goodness-of-fit test(χ2=3.951, P=0.862), the area under the receiver operator characteristic(ROC) curve was 0.944[P<0.001, 95%CI(0.903, 0.987)], with a sensitivity of 89.50%, the specificity was 88.40%, the maximum Youden index was 0.779, and the overall trend of the model correction curve was close to the ideal curve. Model regression equation was Z=1.637 × diabetes + 1.314× fracture displacement+1.237 × preoperative braking traction+1.260 × reduction quality + 0.239×injury to operation time-18.310.
CONCLUSIONS: The occurrence of early femoral head necrosis in patients with femoral neck fracture postoperatively is affected by multiple factors. The risk early warning model established according to the factors has good predictive efficacy.