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find Author "杜丹" 4 results
  • Development and validation of a nomogram model for predicting knee function improvement in early postoperative period after total knee arthroplasty

    Objective To develop and validate a nomogram prediction model of early knee function improvement after total knee arthroplasty (TKA). Methods One hundred and sixty-eight patients who underwent TKA at Sichuan Province Orthopedic Hospital between January 2018 and February 2021 were prospectively selected to collect factors that might influence the improvement of knee function in the early postoperative period after TKA, and the improvement of knee function was assessed using the Knee Score Scale of the Hospital for Special Surgery (HSS) at 6 months postoperatively. The patients were divided into two groups according to the postoperative knee function improvement. The preoperative, intraoperative and postoperative factors were compared between the two groups; multiple logistic regression was performed after the potential factors screened by LASSO regression; then, a nomogram predictive model was established by R 4.1.3 language and was validated internally. Results All patients were followed up at 6 months postoperatively, and the mean HSS score of the patients increased from 55.19±8.92 preoperatively to 89.27±6.18 at 6 months postoperatively (t=−40.706, P<0.001). LASSO regression screened eight influencing factors as potential factors, with which the results of multiple logistic regression analysis showed that preoperative body mass index, etiology, preoperative joint mobility, preoperative HSS scores, postoperative lower limb force line, and postoperative analgesia were independent influencing factors for the improvement of knee function in the early postoperative period after TKA (P<0.05). A nomogram model was established based on the multiple logistic regression results, and the calibration curve showed that the prediction curve basically fitted the standard curve; the receiver operating characteristic curve showed that the area under the curve of the nomogram model for the prediction of suboptimal knee function in the early postoperative period after TKA was 0.894 [95% confidence interval (0.825, 0.963)]. Conclusions There is a significant improvement in knee function in patients after TKA, and the improvement of knee function in the early postoperative period after TKA is influenced by preoperative body mass index, etiology, and preoperative joint mobility, etc. The nomogram model established accordingly can be used to predict the improvement of knee function in the early postoperative period after TKA with a high degree of differentiation and accuracy.

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  • Difficulties and prospects of combined traditional Chinese and Western medicine in the treatment of severe acute pancreatitis

    Despite of the progress in the treatment of severe acute pancreatitis (SAP), there are still factors that hinder the improvement of the efficacy of treatment: there is a lack of an accurate and easy-to-use system for early severity prediction; the multidisciplinary collaboration mechanism needs to be further optimized; there is no clinical efficacy evaluation system for traditional Chinese medicine (TCM); the therapeutic targets of TCM are unclear; the effector substances are unknown; and the research and development of new medicines is still difficult. In order to further reduce the mortality of SAP and realize the goal of improving the efficacy, we should strengthen the integration of Chinese and Western medicine, multidisciplinary collaboration, and improve the treatment levels; as well as carry out basic and clinical research oriented to clinical value. We will also promote the innovative development of combined Chinese and Western medicine in the treatment of SAP by elucidating the mechanism, validating the efficacy and commercializing the achievements. In view of SAP, a major and difficult disease, we should insist on the principle of integrity and innovation, the synergy of Chinese and Western medicines and the complementarity of advantages, and promote the innovation and development of combined Chinese and Western medicines in the treatment of SAP, so as to further reduce the morbidity and mortality and to alleviate the burden of the disease.

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  • 抗N-甲基-M-天冬氨酸受体脑炎伴直肠阴道瘘保守治疗期护理一例

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  • Research and application of magnetic resonance coordinate transformation method for brain control technology of carp robots

    To solve the problem of precise positioning of carp brain tissue coordinates, it is proposed in this paper for a method for transforming the coordinates of magnetic resonance imaging of carp brain tissue into the coordinates of electrode implantation using a brain stereotaxic apparatus. In this study, the 3.0T magnetic resonance imaging instrument was used to scan the carp brain. We independently established the three-dimensional positioning coordinate system of the brain, the three-dimensional coordinate assistance system of skull surface and the three-dimensional coordinate assistance system in brain tissue. After two coordinate transformations, the magnetic resonance image coordinates of the brain electrodes implantation sites were converted into the three-dimensional stereotactic coordinate system to guide the electrodes implantation. The experimental groups were divided into two groups, A and B. Group A was the group of magnetic resonance imaging apparatus combining with the brain stereotaxic apparatus, and group B was the group of brain atlas combining with the brain stereotaxic apparatus. Each group had 20 tails of carps (n = 20). This two methods were used to implant the electrodes into the cerebellar motor area. The underwater experiments of the carp robots were carried out to test the two methods. The results showed that the accuracy of the implanted electrodes were 90% in group A and 60% in group B. The success rate of group A was significantly higher than that of group B (P < 0.05). Therefore, the new method in this paper can accurately determine the coordinates of carp brain tissue.

    Release date:2019-02-18 02:31 Export PDF Favorites Scan
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