Lophatheri Herba (Danzhuye in Chinese) is derived from the dried stems and leaves of Lophatherum gracile and has a long history of use as a medicinal and food source. Flavonoids and phenolic acids are the main active ingredients in Lophatheri Herba, which produce diuretic, anti-inflammatory, and antipyretic effects. Flavonoid glycosides and hydroxybenzoic acids are respectively the main structure in 44 flavonoids and 16 phenolic acids obtained from Lophatheri Herba. Modern pharmacological studies have found that the main chemical constituents of Lophatheri Herba play important roles in anti-inflammatory, cardioprotective, hepatoprotective and hypoglycaemic effects. Studies have demonstrated that flavonoid monomers, for example, luteolin, isoorientin, luteolin-7-O-β-D-glucoside and apigenin are more effective in exerting the above pharmacological effects. In addition, Lophatheri Herba is used in different food products as the main ingredient or as an accessory. This review describes Lophatheri Herba in terms of its chemical composition, pharmacological effects and efficacy, food development and applications, and clinical utility, and discusses the problems facing its use. This study provides valuable ideas and a scientific basis for the future development and use of L. gracile.

Outpatient information management system is an important part of hospital information system,which plays an important role in hospital management,patient treatment,medical insurance reimbursement and settlement.This study integrated the application modes of big data,cloud computing,Internet of things and other cutting-edge technologies of artificial intelligence,focused on the intelligent decision support and whole-process simplified management of the diagnosis and treatment behavior of clinical TCM physicians,and developed a cloud intelligent TCM outpatient system for primary medical care.The system has intelligent medical functions such as intelligent prescription monitoring driven by the rule engine and intelligent recommendation of traditional Chinese medicine knowledge.It seamlessly connects with the intelligent four-diagnosis instrument for information collection and medical order input,and realizes the cloud storage,computing,distribution,management,service and outpatient process,multi-directional and convenient management mode.

Objective:By comparing the volume% (V% GGOs) of ground glass opacities (GGOs) in high resolution CT (HRCT) of patients with acute paraquat (PQ) poisoning at different time points, its value in the early prognosis of patients with PQ poisoning was analyzed. Methods:The data of patients with PQ poisoning admitted to Department of Respiratory and Critical Care Medicine of Chinese Armed Police Forces from June 2017 to December 2018 were prospectively analyzed. According to the follow-up results after poisoning at 90 days, the patients were divided into the survival group and death group. Three-dimensional reconstruction technology was used to calculate the change of V% GGOs on the 3rd, 5th, and 7th day after poisoning. Chi-square test and One-Way ANOVA of variance were used to compare sex, age, and time of poisoning between the two groups. The Student's t test was used to compare V% GGOs between the two groups at different time points. The receiver operating characteristic curve (ROC) was used to determine the guiding significance of the indicator on the prognosis of patients with PQ poisoning at different time points. Results:A total of 89 patients with PQ poisoning were included in the study, 49 in the survival group and 40 in the death group. There were no statistical differences between the two groups of patients in sex, age, poisoning time, oxygenation index, mean arterial pressure, total bilirubin, blood urea nitrogen, alanine aminotransferase, and aspartate aminotransferase at admission (all P>0.05). The blood PQ concentration (mg/L) in the death group was significantly higher than that in the survival group (6.35 ±0.51 vs 3.49 ±0.21, P= 0.013). On the 3rd, 5th and 7th day after admission, the V% GGOs was significantly higher than that in the survival group (3rd day: 0.062±0.020 vs 0.049±0.007, P= 0.013; 5th day: 0.292±0.130 vs 0.123±0.044, P<0.01; 7th day: 0.334±0.116 vs 0.138±0.034, P=0.019). The area under the ROC curve showed that the prognosis AUC of the 7th day V% GGOs after poisoning was 0.967, the sensitivity was 100% and the specificity was 83.33% when the threshold was 0.16, but the time point was late. On the 5th day after poisoning, the V% GGOs judged the prognosis AUC was 0.842, the sensitivity was 82.35% and the specificity was 89.47% when the threshold was 0.14. On the 3rd day after poisoning, the V% GGOs judged the prognosis AUC was 0.708, the sensitivity was 55.00% and the specificity was 78.95% when the threshold was 0.05. At this time, the sensitivity and specificity were lower than those on the 5th and 7th day. Conclusions:The proportion of ground glass opacity volume in patients with PQ poisoning can be used to evaluate their prognosis, and the best time point is the 5th day after poisoning.

Objective:To establish a disease risk prediction model for the newborn screening system of inherited metabolic diseases by artificial intelligence technology.Methods:This was a retrospectively study. Newborn screening data ( n=5 907 547) from February 2010 to May 2019 from 31 hospitals in China and verified data ( n=3 028) from 34 hospitals of the same period were collected to establish the artificial intelligence model for the prediction of inherited metabolic diseases in neonates. The validity of the artificial intelligence disease risk prediction model was verified by 360 814 newborns ' screening data from January 2018 to September 2018 through a single-blind experiment. The effectiveness of the artificial intelligence disease risk prediction model was verified by comparing the detection rate of clinically confirmed cases, the positive rate of initial screening and the positive predictive value between the clinicians and the artificial intelligence prediction model of inherited metabolic diseases. Results:A total of 3 665 697 newborns ' screening data were collected including 3 019 cases ' positive data to establish the 16 artificial intelligence models for 32 inherited metabolic diseases. The single-blind experiment ( n=360 814) showed that 45 clinically diagnosed infants were detected by both artificial intelligence model and clinicians. A total of 2 684 cases were positive in tandem mass spectrometry screening and 1 694 cases were with high risk in artificial intelligence prediction model of inherited metabolic diseases, with the positive rates of tandem 0.74% (2 684/360 814)and 0.46% (1 694/360 814), respectively. Compared to clinicians, the positive rate of newborns was reduced by 36.89% (990/2 684) after the application of the artificial intelligence model, and the positive predictive values of clinicians and artificial intelligence prediction model of inherited metabolic diseases were 1.68% (45/2 684) and 2.66% (45/1 694) respectively. Conclusion:An accurate, fast, and the lower false positive rate auxiliary diagnosis system for neonatal inherited metabolic diseases by artificial intelligence technology has been established, which may have an important clinical value.

Objective To investigate the epidemiology characteristics of crawfish related rhabdomyolysis (RM) in Nanjing, 2016.Methods Outpatient and inpatient electronic medical system of 21 hospitals in Nanjing during 2016 were retrospectively searched, and all the patients diagnosed with RM were selected. The patients with none crayfish-related RM was excluded. The epidemiology characteristics were depicted. The geographic information system (GIS) was used to collect, manage and analyze the spatial data, to visualize it, to analyze the spatial distribution features of the disease, and to explore the cause of disease prediction. GeoDa 1.8 software was used to analyze the global and local spatial auto-correlation.Results A total of 1183 patients with crawfish related RM were initially screened, excluding 59 patients with RM caused by trauma, severe exercise, heat stroke, myositis, poisoning, drugs, and genetic diseases, and 1124 patients were enrolled. The proportion of men was 36.48% (410/1124) with an incidence of 12.54/100 thousands; while of women was 63.52% (714/1124) with an incidence of 21.86/100 thousands. The median age at onset was 34 (28, 43) years. From July to August, the incidence of crawfish related RM was the highest, accounting for 96.53% of the total number of cases. The top four incidence areas were Pukou (41.54/100 thousands), Jianye (25.94/100 thousands), Qixia (25.73/100 thousands), Gulou (25.04/100 thousands), all of which were adjacent to the Yangtze River. Global spatial autocorrelation analysis showed: MoranI = 0.427,Z = 2.646,P = 0.003, suggesting that the crawfish related RM had positive spatial autocorrelation. The results showed that the spatial structure of crawfish related RM existed in Nanjing in 2016. Local spatial autocorrelation analysis showed that the high-high concentration areas were Pukou, Jianye and Liuhe. The incidences of above three areas which were the Nanjing section of the lower reaches of the Yangtze River flowed through the region and surrounding areas were higher than the overall incidence of Nanjing.Conclusion The prevalence of crawfish related RM in Nanjing during 2016 had an obvious region-concentrated character and global spatial autocorrelation with the high prevalent regions mainly concentrated in the urban areas adjacent to the Yangtze River.

Objective To analyze the massive explosions and burn at Tianjin Port in 2015 resulted in a mass casualty event,and the entire course of response of a hospital to deal with such major sudden accident in order to find a rational strategy for optimal use of medical resources and reduce the critical mortality.Methods This study was done by a retrospective analysis of data from one trauma center at an academic hospital.Data including outcome,triage,severity and pattern of injuries,patient flow,and medical resources used were obtained by the review of hospital records.Results This disaster caused 165 deaths,8 missing contact,and 797 non-fatal casualties.The Pingjin Hospital admitted 298 casualties,and 29 of them were seriously injured referred to by Tianjin Emergency Medical Center.Excessive triage rate made after transfer to another hospital was 62.07% with 11 of the 29 severely injured patients.Maximum (also the first)surge had 147 injured patients arrived around one hour after incident,the second surge had 31 seriously injured patients occurred around 4 hours after incident.Of them,17 patients needed surgery and 17 patients were admitted to the intensive care unit.Conclusions These data showed that the number of casualties in the first surge was substantially larger than predicted and those casualties had less severe trauma,whereas the number of the injured in the second surge was less but the trauma was more severe.In order to maintain the hospital surge capacity,an effective re-triage and a hospital-wide damage control principle can be used to deal with.

AIM:To do cluster analysis on the herb active ingredients with reversal activity of multi-drug resistance in HL60/HT cells.METHODS:HL60/HT cell was used to check the inhibitory effect of Psoralen,psoralen-A,curcumin,quercetin,psoralidin,isopsoralidin,psoralen phenol,Rhein on cell proliferation by MTT assay.Flow cytometry was used to measure HL fluorescence index and the expression of P-glucose protein.On the basis of the experimental data,herbs were classified as different groups by cluster analysis.RESULTS:Reversion rate,HT concentration and P-gp expression of HL60/HT fell within the range of 6.2 to 12.5,9.6 to 25.6,and 29.3 to 50.1,respectively.CONCLUSION:According to cluster similarity,8 herbal ingredients could be divided into three groups,psoralen,curcumin and quercetin were in the first group.Psoralen-A,psoralidin,isopsoralidin and rhein were in the second group,psoralen phenol was in the third group.

Objective To research the reversal effects of psoralen on multidrug resistant action and its influence on intracellular Ca2+ concentration in MCF-7/ADR cells and to explore its possible mechanisms of reversing multidrug resistance (MDR). Methods The inhibitory effects of psoralen on the viability of MCF-7/ADR cells were determined with MTT assay, intracellular adriamycin (ADR) concentration was assayed with HPLC and the intracellular Ca2+ concentrations in different incubative duration were detected with confocal microscope. Results Psoralen from 1 to 20 μmol/L reduced the value of IC50 of ADR in MCF-7/ADR cells, enhanced accumulation of ADR and influenced Ca2+ concentration with a negative correlation in different duration (24 h, 48 h and 96 h). Conclusion Psoralen can reverse MDR in MCF-7/ADR cells and its mechanism may be related to the increase of the intracellular accumulation of ADR by enhancing the intracellular Ca2+ concentration.

Objective To determine the reversal effect of psoralen on multidrug resistance (MDR) in the harringtonine (HT)-resistant leukemic cell line HL60/HT. Method The modulating effect of psoralen on MDR in HL60 and HL60/HT cells were determined by the measurement of cell growth and viability via MTT assay. High performance liquid chromatography(HPLC) was used to analyze intracellular HT concentrations in HL60/HT and HL60 cells treated with psoralen. Result Psoralen from 1 to 20 ?mol/L could reduce the value of IC_ 50 to HT and enhance the accumulation of HT in HL60/HT cells. Conclusion Psoralen can reverse MDR of HL60/HT cells and is a potential modulator of MDR.

Objective To research the reversal effects of psoralen on multidrug resistant action and its influence on intracellular Ca2+ concentration in MCF-7/ADR cells and to explore its possible mechanisms of reversing multidrug resistance (MDR). Methods The inhibitory effects of psoralen on the viability of MCF-7/ADR cells were determined with MTT assay, intracellular adriamycin (ADR) concentration was assayed with HPLC and the intracellular Ca2+ concentrations in different incubative duration were detected with confocal microscope. ]Results Psoralen from 1 to 20 ?mol/L reduced the value of IC50 of ADR in MCF-7/ADR cells, enhanced accumulation of ADR and influenced Ca2+ concentration with a negative correlation in different duration (24 h, 48 h and 96 h). Conclusion Psoralen can reverse MDR in MCF-7/ADR cells and its mechanism may be related to the increase of the intracellular accumulation of ADR by enhancing the intracellular Ca2+ concentration.