目的比较后路小切口与后侧标准入路切口髋关节置换术的临床疗效。方法将120例老年股骨颈骨折患者按手术切口不同分为A组(采用后路小切口髋关节置换术治疗,60例)和B组(采用后侧标准入路切口髋关节置换术治疗,60例)。比较两组切口长度、...目的比较后路小切口与后侧标准入路切口髋关节置换术的临床疗效。方法将120例老年股骨颈骨折患者按手术切口不同分为A组(采用后路小切口髋关节置换术治疗,60例)和B组(采用后侧标准入路切口髋关节置换术治疗,60例)。比较两组切口长度、术中出血量、术后引流量、手术时间、术后下地时间、术后1 d VAS评分及术后6个月Harris评分。结果患者均获得随访,时间6~13(8.23±3.91)个月。切口长度、术中出血量、术后引流量、术后下地时间、术后1 d疼痛VAS评分A组均优于B组(P<0.01)。手术时间、术后6个月Harris评分两组比较差异均无统计学意义(P>0.05)。结论与后侧标准入路切口比较,后路小切口髋关节置换术治疗老年股骨颈骨折具有切口小、术中出血少、术后引流量少、患者术后早期恢复快等优点。展开更多
The water temperature in reservoirs is difficult to be predicted by numerical simulations. In this article, a statistical model of forecasting the water temperature was proposed. In this model, the 3-D thermal conduct...The water temperature in reservoirs is difficult to be predicted by numerical simulations. In this article, a statistical model of forecasting the water temperature was proposed. In this model, the 3-D thermal conduction-diffusion equations were converted into a system consisting of 2-D equations with the Fourier expansion and some hypotheses. Then the statistical model of forecasting the water temperature was developed based on the analytical solution to the 2-D thermal equations. The~ simplified statistical model can elucidate the main physical mechanism of the temperature variation much more clearly than the numerical simulation with the Navier-Stokes equations. Finally, with the presented statistical model, the distribution of water temperature in the Shangyoujiang reservoir was determined.展开更多
文摘目的比较后路小切口与后侧标准入路切口髋关节置换术的临床疗效。方法将120例老年股骨颈骨折患者按手术切口不同分为A组(采用后路小切口髋关节置换术治疗,60例)和B组(采用后侧标准入路切口髋关节置换术治疗,60例)。比较两组切口长度、术中出血量、术后引流量、手术时间、术后下地时间、术后1 d VAS评分及术后6个月Harris评分。结果患者均获得随访,时间6~13(8.23±3.91)个月。切口长度、术中出血量、术后引流量、术后下地时间、术后1 d疼痛VAS评分A组均优于B组(P<0.01)。手术时间、术后6个月Harris评分两组比较差异均无统计学意义(P>0.05)。结论与后侧标准入路切口比较,后路小切口髋关节置换术治疗老年股骨颈骨折具有切口小、术中出血少、术后引流量少、患者术后早期恢复快等优点。
基金the National Natural Science Foundation of China (Grant Nos. 50539010, 50539020, and 50579080)
文摘The water temperature in reservoirs is difficult to be predicted by numerical simulations. In this article, a statistical model of forecasting the water temperature was proposed. In this model, the 3-D thermal conduction-diffusion equations were converted into a system consisting of 2-D equations with the Fourier expansion and some hypotheses. Then the statistical model of forecasting the water temperature was developed based on the analytical solution to the 2-D thermal equations. The~ simplified statistical model can elucidate the main physical mechanism of the temperature variation much more clearly than the numerical simulation with the Navier-Stokes equations. Finally, with the presented statistical model, the distribution of water temperature in the Shangyoujiang reservoir was determined.
