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Objective To research the tourniquet effect on cement mantle thickness in total knee arthroplasty.Methods From June 2013 to June 2014,112 cases of patients were received total knee arthroplasty in the First People's Hospital of Foshan and 94 cases of which received primary operation,82 cases were recruited of the research and randomly divided into experimental group(n=41) without tourniquet and control group(n =41)with tourniquet.The radiological cement mantle thickness was evaluated postoperatively in 2 zones (tibia) on anteroposterior and 4 zones (tibia 2;femur 2) on lateral radiographs,and values were cumulated.Additionally,the calculated blood loss,haemoglobin loss,blood transfusion rate,average transfusion volume,VAS pain score,arc of motion,swelling,ecchymosis and micro thrombus in venules were recorded.Results The study showed that (3.57± 0.62) mm on without tourniquet group and(3.74 ±0.71)mm on tourniquet group in tibia (P=0.240).However,the cement mantle thickness of mm on without tourniquet group(2.00±0.43) mm on tourniquet group(2.19±0.48) in femur (P=0.053),there was no statistically significant difference between two groups.The tourniquet group were reduced on the calculated blood loss,haemoglobin loss,blood transfusion rate and average transfusion volume compared with without tourniquet group(P＜0.05).But VAS pain score,arc of motion,swelling,ecchymosis and micro thrombus in venules were slightly increased in tourniquet group compared with without tourniquet group (P＜0.05).Conclusion The use of a tourniquet in total knee arthroplasty can reduce the calculated blood loss,haemoglobin loss,blood transfusion rate,average transfusion volume,but without using a tourniquet has a better clinical results.
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A systematic phylogenetic footprinting approach was performed to identify conserved transcription factor binding sites (TFBSs) in mammalian promoter regions using human, mouse and rat sequence alignments. We found that the score distributions of most binding site models did not follow the Gaussian distribution required by many statistical methods. Therefore, we performed an empirical test to establish the optimal threshold for each model. We gauged our computational predictions by comparing with previously known TFBSs in the PCK1 gene promoter of the cytosolic isoform of phosphoenolpyruvate carboxykinase, and achieved a sensitivity of 75% and a specificity of approximately 32%. Almost all known sites overlapped with predicted sites, and several new putative TFBSs were also identified. We validated a predicted SP1 binding site in the control of PCK1 transcription using gel shift and reporter assays. Finally, we applied our computational approach to the prediction of putative TFBSs within the promoter regions of all available RefSeq genes. Our full set of TFBS predictions is freely available at http://bfgl.anri.barc.usda.gov/tfbsConsSites.