Objective To develop a personalized recommendation strategy for tranexamic acid administration during the perioperative period of orthopedic surgery based on machine learning,aiming to reduce perioperative bleeding and related complications and improving clinical outcomes.Methods A total of 11 727 patients undergoing orthopedic surgery from the INSPIRE database were subjected in this study.Missing data were handled using multiple imputation methods,and relevant feature variables were screened using Boruta analysis.We constructed various machine learning models,including Gradient Boosting Machine(GBM),Generalized Linear Model(GLM),eXtreme Gradient Boosting(XGBoost),K-Nearest Neighbors(KNN),Neural Network(NNET),Naive Bayes(NB),and Random Forest(RF),to evaluate their performance in predicting intraoperative bleeding and prolonged postoperative length of hospital stay.The optimal model was then selected and further integrated using a weighted ensemble,aiming to achieve the best prognosis by recommending usage strategies for tranexamic acid.The predictive performance of the constructed model was then verified against the testing set,and compared with the physician decision-making to complete the evaluation.Results In predicting intraoperative bleeding,the RF model achieved an area under the receiver operating characteristic curve(AUC)of 0.73,which was significantly better than other models.In predicting the prolonged postoperative length of hospital stay,the XGBoost model performed the best,with an AUC value of 0.84.Based on the above best-performing models,an ensemble strategy was implemented.The patients who followed the recommended strategy had reduced intraoperative bleeding and shorter postoperative length of hospital stay.Conclusion The use of tranexamic acid is associated with intraoperative bleeding and postoperative length of hospital stay.Personalized decision-making recommendation based on our constructed model can effectively improve the outcomes of the patients undergoing orthopedic surgery.

Microcirculation alterations of the human retina are of significant relevance with glaucoma.Optical coherence tomography angiography (OCTA) is a non-invasive examination that provides signals of the retina and retinal microcirculation.It is currently widely used in research and screening for glaucoma due to its effective detection of each layer in the retinal microcirculation.Vessel density of radial peripapillary capillary (RPC) is positively correlated with the retinal nerve fiber layer thickness, which is crucial in the assessment of glaucoma.Peripapillary region and macula are regions of interest in OCTA analysis for microcirculation.Vessel density of the whole retina and RPC in the peripapillary region decreases significantly, which matches the thinned retinal fiber layer thickness and visual field defects, and is relevant to the disease severity.As for the macular region, vessel density declines while the area of the foveal avascular zone increases.Greater changes in late-stage glaucoma and normal-tension glaucoma are detected by OCTA compared with other stages and types of glaucoma.OCTA imaging may be influenced by high myopia and intraocular pressure, and the peripapillary region is of greater diagnostic value than macula in microcirculation changes.In conclusion, OCTA can serve as a new technique for the assessment of retinal microcirculation in glaucoma.This review summarized the characteristics of retinal microcirculation in OCTA images and its change in peripapillary and macular region in glaucoma eyes.Influencing factors associated with peripapillary and macular microcirculation changes in OCTA images and evaluation of peripapillary and macular microcirculation in glaucoma by OCTA and their diagnostic values were reviewed.

Biological desulfurization is a process in which sulfur compounds are removed from gas and oil using microorganisms. It is a simple process that has mild operating conditions, high desulfurization efficiency, low energy consumption and less environmental pollution. However, there is still a lack of simple and efficient analytical methods for quantitatively analyzing the sulfur compounds in the biological desulfurization process. In order to solve this problem, the analytical method for the simultaneous determination of sulfite, thiosulfate and sulfide in biological desulfurization solutions by pre-column fluorescence derivation using high performance liquid chromatography (HPLC) was developed. The standard curves of sulfur species in this analytical method had good linear relationships with correlation coefficients of 0.999 5, 0.999 7, and 0.999 7 for sulfite, thiosulfate and sulfide, respectively. The detection limits of these sulfur compounds were 0.000 6, 0.000 7 and 0.001 1 μmol/L; the range of recovery rates were 98.17 to 101.9%, 100.9 to 102.6%, and 101.1 to 104.2%; which had good repeatability and stability. The analytical method was simple, efficient and accurate, and could be used to simultaneously determine the sulfur compounds in different biological desulfurization systems.
Chemistry Techniques, Analytical/methods* ; Chromatography, High Pressure Liquid ; Sulfur Compounds/analysis*

Objective To investigate the protective effect of FUC on adriamycin (ADR) - induced myocardial cell toxicity. Methods Using DPPH FUC method to study the scavenging effect on free radicals play a protective role of H9C2, MTT method is used to study the cytotoxicity of FUC on ADR induced by the H9C2 cell morphological changes were observed by AO/EB staining, the expression of H9C2 in cells of ROS levels and H9C2 cell apoptosis related protein Carboxy-DCFDA Western and Blotting detection method. Results DPPH assay showed that FUC has strong scavenging of oxygen free radicals, FUC to play a good protective effect H9C2 cytotoxicity caused by ADR and mechanism of apoptosis in H9C2 cells were cytotoxic FUC protective effect of H9C2 on ADR induced by the reduced ADR induced increase, elevated levels of reactive oxygen species that caused by ADR the H9C2 cells and H9C2 cells apoptosis protein Caspase-8 Cleaved Cas-pase-3, Cleaved and downreguLation of PARP upreguLation inhibited. Conclusion The protective effect of FUC on myocardial cell toxicity caused by ADR is played by oxidative stress in myocardial cells by antioxidant activity has its own ADR induced inhibition of blocked ADR induced myocardial cell activation of Caspase-8 pathway, thereby effectively inhibit ADR induced Cas-pase-3 activation and PARP shear this continuous process to achieve.