OBJECTIVE:To analyze the chemical components extracted with supercritical CO2(SFE-CO2)from Eucalyptus tereticornis.METHODS: Volatile oil was extracted from E.tereticornis with SFE-CO2.The chemical component analyzed by GC-MS and its proportion was determined by normalization method.RESULTS: 28 compounds which account for 88.13% of the total peak area were separated and identified.The main components of volatile oil were eucalyptol (33.99%),borneol(8.88%),?-pinene (5.39%),caryophyllene (4.51%),(+)-4-carene (4.19%).CONCLUSION:This study can be served as a scientific basis for the further exploitation and utilization of E.tereticornis.

Objective To systematically evaluate the risk prediction models of diabetic foot infections,and to ex-plore its implications for clinical nursing care.Methods Relevant studies in the databases of CNKI,VIP,Wanfang,CBM,CINAHL,PubMed,Web of Science,Cochrane Library,Embase,ProQuest,and Ovid were searched for the time-frame of database construction to December 2023.Literature was screened independently by 2 investigators and the area under the model curve(AUC)and its 95％confidence interval(CI),calibration method and predictors were ex-tracted,and the quality of the model was evaluated using the Predictive Modeling Study Risk of Bias Assessment Tool.Meta-analysis of the predictive value of model predictors was performed using RevMan 5.4 software.Results 7 studies were included,containing 8 risk prediction models,all of which reported the AUC(0.748-0.922),and 6 models underwent model calibration.The overall fit of the included studies was good,among which l model was low fit,and all 7 studies were at high risk of bias,mainly focusing on predictors and analysis.Meta-analysis showed that the area under the curve of the combined models was 0.831(95％CI:0.780～0.883);the disease duration(OR=2.460,95％CI:1.850～3.270),vascular disease(OR=3.110,95％CI:1.070～9.000),and neuropathy(OR=3.550,95％CI:1.920～6.560)were effective predictors of diabetic foot infection.Conclusion The current diabetic foot infection risk prediction model is still in the developmental stage,and further optimization and external validation of the ex-isting model is recommended for the future.

BACKGROUND: Red-cell transfusion is critical for surgery during the peri-operative period; however, the transfusion threshold remains controversial mainly owing to the diversity among patients. The patient's medical status should be evaluated before making a transfusion decision. Herein, we developed an individualized transfusion strategy using the West-China-Liu's Score based on the physiology of oxygen delivery/consumption balance and designed an open-label, multicenter, randomized clinical trial to verify whether it reduced red cell requirement as compared with that associated with restrictive and liberal strategies safely and effectively, providing valid evidence for peri-operative transfusion. METHODS: Patients aged >14 years undergoing elective non-cardiac surgery with estimated blood loss > 1000 mL or 20% blood volume and hemoglobin concentration <10 g/dL were randomly assigned to an individualized strategy, a restrictive strategy following China's guideline or a liberal strategy with a transfusion threshold of hemoglobin concentration <9.5 g/dL. We evaluated two primary outcomes: the proportion of patients who received red blood cells (superiority test) and a composite of in-hospital complications and all-cause mortality by day 30 (non-inferiority test). RESULTS: We enrolled 1182 patients: 379, 419, and 384 received individualized, restrictive, and liberal strategies, respectively. Approximately 30.6% (116/379) of patients in the individualized strategy received a red-cell transfusion, less than 62.5% (262/419) in the restrictive strategy (absolute risk difference, 31.92%; 97.5% confidence interval [CI]: 24.42-39.42%; odds ratio, 3.78%; 97.5% CI: 2.70-5.30%; P <0.001), and 89.8% (345/384) in the liberal strategy (absolute risk difference, 59.24%; 97.5% CI: 52.91-65.57%; odds ratio, 20.06; 97.5% CI: 12.74-31.57; P <0.001). No statistically significant differences were found in the composite of in-hospital complications and mortality by day 30 among the three strategies. CONCLUSION: The individualized red-cell transfusion strategy using the West-China-Liu's Score reduced red-cell transfusion without increasing in-hospital complications and mortality by day 30 when compared with restrictive and liberal strategies in elective non-cardiac surgeries. TRIAL REGISTRATION ClinicalTrials.gov, NCT01597232.
Humans ; Adult ; Postoperative Complications ; Erythrocyte Transfusion/adverse effects* ; Blood Transfusion ; Hospitals ; Hemoglobins/analysis*