Bac kground: The transfer of the tibialis posterior tendon to the anterior aspect
of the ankle not only replaces the function of the paralyzed muscles, but also
removes the deforming force on the medial aspect of the foot.
Objec t i ves : In this study, we evaluated patients who underwent tibialis
posterior tendon transfer for the treatment of foot drop, and comparison through
interosseous membrane route versus anterior to lower tibia route of tibialis
posterior tendon transfer, with evaluation of the results according to carayon
criteria
Methods: Nine patients with foot drop secondary to different causes treated with
tibialis posterior tendon transfer from January 2011 to January 2012 were
followed up for a mean of 12 months in Al Kindy Teaching Hospital. We use two
different techniques, first transfer the tendon through the interosseous
membrane (four patients), and the second technique transfer the tendon anterior
to tibia (five patients).
Resul t s : In general according to carayon evaluation criteria, the results were
excellent in two patients (22.2%), good in five patients (55.6%), and moderate in
two patients (22.2%). Through anterior to lower tibia route, 4 patients get
excellent to good result (80%), and through interosseous route, 3patients get
good to excellent result (75%).
Conc lus ions : Transfer of tibialis posterior tendon for the treatment of foot drop
deformity enables the patients to walk without the aid of orthosis and increase their
quality of life. With no differences between anterior to lower tibia route and through
interosseous membrane route.
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The reticuloendothelial system (RES) play an important role in immunity against bacterial infection and Klebsiella pneumoniae one of the most common causes of hospital-acquired infections. Dextran70 (D70), a polysaccharide, may alter functions of this system through changing many biological activities in the tissues.
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Forecasting is one of the important topics in the analysis of time series, as the importance of forecasting in the economic field has emerged in order to achieve economic growth. Therefore, accurate forecasting of time series is one of the most important challenges that we seek to make the best decision, the aim of the research is to suggest employing hybrid models to predict daily crude oil prices. The hybrid model consists of integrating the linear component, which represents Box Jenkins models, and the non-linear component, which represents one of the methods of artificial intelligence, which is the artificial neural network (ANN), support vector regression (SVR) algorithm and it was shown that the proposed hybrid models in the predicti
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