Contraindications ; Humans ; Infant ; Infant, Newborn ; Promethazine ; adverse effects ; therapeutic use

Humans ; Neoplasm Metastasis ; pathology ; Neoplasm Staging ; methods ; Neoplasms ; classification ; pathology ; therapy

Accidents, Occupational ; Bromine ; poisoning ; Humans ; Hydrobromic Acid ; poisoning

Endoscopes ; Humans ; Nasal Cavity ; surgery ; Nasal Septum ; surgery ; Reconstructive Surgical Procedures ; Rhinoplasty ; Surgical Flaps

Objective To explore the clinical characteristics for patients with hemorrhagic transformation(HT) after acute cere‐bral infarction .Methods In this study ,retrospective analysis was performed for 48 patients HT ,which were classified as HI(n=45 ,93 .8% ) ,HI‐1(n=27) ,HI‐2(n=18);PH(n=3 ,6 .3% ) ,PH‐1(n=2) ,PH‐2(n=1) .PH‐2 admission NIHSS score was signifi‐cantly higher than other types of HT .CT scans and MRT were carried out ,infarction area were defined so that we could choose dif‐ferent treatments .Results The total cases with hemorrhage time within 1 -2 weeks after infarction was 28(58 .3% ) ,while 14 (29 .2% )occured within 1 week .The relationship between HT location and infarction area:25 cases(52 .1% ) occurred cerebral lobe infarction ,for which hemorrhage lesion was located in cortex and(or) subcortical;11 cases (22 .9% ) occurred deep brain parenchy‐ma infarction ,for which hemorrhagic lesion was located inside or on the edge of infarcts;8 cases were lobes and deep infarction ,3 cases were cerebellar infarction ,1 case was brain stem infarction ,all of the hemorrhagic lesion was inside the infarcts .The relation‐ship between HT and infarct size:31 cases(64 .6% ) occured secondary to large area acute cerebral infarction ,14 cases(29 .2% ) oc‐cured secondary to small area of cerebral infarction ,3 cases(6 .3% ) occured secondary to lacunar infarction .Hemorrhage of the HI patients was in the cortex and the subcortical white matter ,with shapes of deep brain dot ,patchy ,funicular or gyrus .Hematoma was formed in cerebral infarction for PH patients ,which mainly located in basal ganglia .Conclusion The HT occurrence is closely relat‐ed to the infarction area and size .Patients with Large area and cerebral lobe infarction have high opportunity for complication of HT .HT usually occurs within 1-2 weeks after cerebral infarction ,during which brain CT or MRI should be routinely reexamined .

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OBJECTIVE:To establish an HPLC method for the determination of Stillbene glycoside (THPG) in Zhipingk-ang misture.METHODS:The chromatographic column was Hypersil C18(250 mm?4.6 mm,5 ?m).The mobile phase consisted of acetonitribl-water(25∶75) at a flow rate of 1.0 mL?min-1 with detection wavelength set at 320 nm. RESULTS: There was a good linear relationship within the concentration range of 0.5～8.0 ?g for THPG. The average recovery of THPG was 100.03%(RSD=1.07, n=6).CONCLUSION: The adoptd method is accurate, reproducible and suitable for the quality con-trol of Zhipingkang misture.

Abstract: Mosquitoes are involved in the transmission of serious diseases such as malaria, dengue, chikungunya, yellow fever, Zika virus disease, and filariasis, and their prevention and control have always been a research hotspot. Currently, mosquito control methods mainly include physical control, chemical control and biological control. Physical control methods are environmentally friendly, but they are slow to take effect and have unsatisfactory control effects; although chemical control can quickly eliminate mosquitoes, it has been eliminated due to its high pollution, high residual, and easy drug resistance; biological control uses natural enemies or pathogens to kill mosquitoes and reduce their ability to transmit disease. Therefore, environmentally friendly biological control has become the main measure for controlling and preventing mosquitoes. In recent years, significant progress has been made in bacterial mosquito control agents, among which Bacillus thuringiensis has been the most extensively studied. Bacillus thuringiensis is a Gram-positive soil microorganism, which is the pathogenic bacterium of a variety of agricultural pests such as Lepidoptera, Coleoptera and Diptera. During the sporulation process, its strains produce a variety of insecticidal crystal proteins (ICPs) or δ-endotoxins with insecticidal activity against mosquito larvae. This review firstly introduces the crystal proteins of Bacillus thuringiensis, describes in detail the types and structures of crystal proteins in detail, and also reveals the mechanism of action of crystal proteins related to receptors.

0.05).(4) Significant differences between CC and CIN Ⅰ for p16,CDH1,RASSF1A and TIMP3 genes(P

Abstract: Objective To analyze the risk factors for neonatal preterm birth in 12 hospitals in Yunnan Province from 2016 to 2017, and to establish a nomogram prediction model for neonatal preterm birth, providing scientific evidence for the prevention of preterm birth. Methods A total of 20 445 pregnant women who gave birth in 12 hospitals in Yunnan Province from 2016 to 2017 were collected and grouped into a preterm group (n=1 186) and a full-term group (n=19 259) according to whether they had a premature delivery. The general information questionnaire of pregnant women designed by the research team was applied to understand the basic conditions and pregnancy information of the two groups, and the risk factors of preterm birth were determined by logistic regression analysis, R software was applied to draw a nomogram prediction model of neonatal preterm birth, and its predictive performance was tested. Results There were significant differences in the proportions of twins and above (9.11% vs 7.10%), pregnancy-induced hypertension (21.67% vs 18.57%), gestational diabetes mellitus (18.21% vs 15.90%), anemia (24.28% vs 20.70%), premature rupture of membranes (11.64% vs 9.76%), and abnormal placenta (7.08% vs 5.51%) between the preterm group and the full-term group (χ2=6.731, 7.055, 4.441, 8.691, 4.437, 5.232, all P<0.05); the logistic regression analysis showed that the risk factors for neonatal preterm birth were twins and above (OR=2.378), pregnancy-induced hypertension (OR=2.039), gestational diabetes mellitus (OR=1.824), anemia (OR=1.825), and premature rupture of membranes (OR=2.313) (all P<0.05); the discrimination (area under the curve was 0.794, 95%CI=0.738-0.850) and precision (goodness of fit HL test, χ2=8.864, P=0.312) of the nomogram model constructed to predict the occurrence of neonatal preterm birth were both good. Conclusions The nomogram model for preterm birth constructed based on 5 factors including number of fetuses, pregnancy-induced hypertension, gestational diabetes mellitus, anemia and premature rupture of membranes can predict the occurrence of neonatal preterm birth well, thus providing reference for the prevention of neonatal preterm birth.