1.Evaluation of pedicle screws applied in the affected vertebra for the treatment of thoracolumbar burst fracture
Jian LI ; Bin XIAO ; Hongpu ZHAO
Orthopedic Journal of China 2006;0(08):-
[Objective]To investigate curative effect for thoracolumbar burst fractures by the method of vertebral pedicle screw fixation applied in the with transpedicular bone graft,and consider its indications.[Method]Thirty cases of thoracolumbar burst fractures were treated by vertebral pedicle screw fixation combining transpedicular bone graft.Among them 22 were male and 8 were famale,age ranged 18-64.All of cases were single segment fractures.The average height of anterior border was 35% before the operation,the average of Cobb's angle was 26?,the percentage of midsagital diameter was 55%.According to Frankel's neurological function classification,preoperative neurological function was Grade A in 4 cases,B in 8,C in 5,D in 6,E in 7.[Result]All cases were followed up for 6 to 30 months.All patients' pain relieved distinctly,the average height anterior border was increased to 97%,the average of Cobb's angle was 3.5?,the percentage of midsagital diameter was 92% postoperatively,showing significant difference(P
2.Current diagnosis and treatment of patellar instability
Yongqian PAN ; Jian LI ; Hongpu ZHAO
Orthopedic Journal of China 2006;0(23):-
Patellar instability is a common cause of knee pain and a common disease of patellofemoral joint.It is one of the important etiological factors of chondromalacia patella or patellofemoral joint osteoarthritis.This paper investigates the pathological mechanism,sympton,physical examination and photographic of patellar instability.And the results showed that correct diagnosis lead to reasonable treatment.The emphasis of therapy is to restore the balance of soft tissue around palella.Combined orthopedic treatment is commonly used according to different age,different instability degrees,and pathological factors of different patients.
3.Research Progress of the Infectious Disease Prediction Models Based on Internet Data
Qile HE ; Jinyao ZHANG ; Zhuocun WU ; Yuqing YANG ; Wei ZHAO ; Hongpu HU
Journal of Medical Informatics 2024;45(2):32-37
Purpose/Significance The paper systematically reviews relevant research on infectious disease prediction models based on internet data,helps to realize the advancement of infectious disease surveillance,and provides references for the construction of intelli-gent three-dimensional prevention and treatment system of infectious diseases.Method/Process The development history and research direction of infectious disease surveillance and early warning based on internet data collected in the core database of Web of Science and CNKI in the past 20 years are reviewed,major existing problems and challenges are analyzed,and common prediction models and their optimization directions are summarized.Result/Conclusion The study on internet infectious disease surveillance shows the trend of diver-sification of monitoring diseases,refinement and specialization of data sources.Due to the complexity and uncertainty of internet data,most of the existing models are only suitable for short-term or real-time prediction.By constructing a combination model,strengthening multi-source data fusion,improving the selection of keywords and influencing factors,the model can be further optimized and the fitting effect and prediction capacity can be strengthened.