Objective To explore a new method which could detect the misplacement of peripherally inserted central catheter (PICC).Methods The action of coughing was applied to 252 patients and observing the changes in dripping speed.Results The accuracy rate of this new method was 100.00％ (252/252).The success rate of first PICC in these patients was also 100.00％ (252/252).Conclusions It suggests that the new method Should be effective and convenient in the assessment of PICC misplacement and it can be applied to detect the misplacement occurred in and after the process of PICC.

To identify the original plant of Daturae Flos from its adulterants by DNA barcoding, the sequences of ITS2, psbA-trnH, matK, rbcL of four species including Datura metel, Darura innoxia, Darura stramonium and Brugmansia arborea were compared and analyzed. The PCR and sequencing success rate of the four regions (ITS2, psbA-trnH, matK, rbcL) was 100%, 90%, 100% and 85%, respectively. Sequences were assembled with CodonCode Aligner. K2P distances were calculated and NJ tree was performed by MEGA 4.1. Thirty SNPs were found among ITS2 sequences, and 33 insert/deletes were found among psbA-trnH intergenic regions. The interspecific K2P distance of ITS2 and psbA-trnH was obviously higher than that of the intraspecific one. As to matK and rbcL, there was no "Barcoding Gap" existing between inter- and intra-specific distances. The NJ trees of the four regions/combinations were built separately. Samples of Brugmansia arborea were clustered into one clade, and the other species of Datura L. formed another clade. The results showed that either ITS2 or psbA-trnH was useful to identify Daturae Flos from its adulterants.

Objective To investigate DNA methylation markers in the whole blood of patients with systemic lupus erythematosus(SLE),in hope to facilitate the evaluation of SLE severity.Methods Whole blood samples were obtained from 58 patients with SLE(including 14 cases of severe SLE,25 moderate SLE,19 inactive SLE)and 50 healthy controls.Bisulphite sequencing was performed to determine the methylation status of interleukin-2 common receptor gamma chain(IL-2RG)promoter region,and real-time reverse transcriptionPCR to quantify the expression level of IL-2RG mRNA,in these subjects.Results The methylation level of IL2RG promoter region was 0.217 ± 0.140,0.325 ± 0.230,0.342 ± 0.085 and 0.175 ± 0.036 in the patients withsevere,moderate and inactive SLE and healthy controls,respectively.A significant increase was observed in the methylation level of IL-2RG promoter region in the patients with inactive SLE compared with the patients with severe SLE and healthy controls(both P ＜ 0.01),and in the patients with SLE compared with the healthy controls(0.263 ± 0.047 vs.0.175 ± 0.036,P ＜ 0.05).The expression level of IL-2RG mRNA was significantly lower in the patients with SLE than in the healthy controls(2.550 ± 0.823 vs.4.293 ± 1.283,P ＜ 0.05).A negative correlation was observed between the expression level of IL-2RG mRNA and methylation level of IL2RG promoter region in 20 patients with SLE(r =-0.44,P ＜ 0.05).Conclusion The methylation status of IL2RG promoter region is statistically higher in patients with SLE than in healthy controls,and significantly different between patients with active SLE and those with stable SLE.

Objective To investigate nurses' scientific research competency and training demand in Chinese tertiary hospital.Methods It was a multi-stage large-scale survey.A total of 27 335 nurses from 22 provinces/autonomous regions/municipalities were recruited to complete the self-designed questionnaire,including demographic data(7 items),scientific research competency(objective index of 4 items,and subjective index of 6 subscales with 40 items),and training demand evaluation(6 subscales with 16 items).Results There were 1 130(4.14％) nurses who had managed or were managing the research projects as principal investigators(PIs),2 147(7.85％)nurses who had attended or were attending research programs,1 463(5.35％) nurses had published papers,and 557(2.04％) nurses obtained patents.The self-evaluated competency score was 25.00 (12.50,37.50)(rangedfrom 0 to 100)and training demand score was 53.13(37.50,75.00)(ranged from 0 to 100).Conclusion The nurses' scientific research competency should be improved and they had strong training demands.In order to improve nurses' research competency and quality,nursing administrators should pay more attention to post-graduate training focusing on research competency.

Objective:To screen lipid biomarker in sepsis patients with different survival outcome based on ultra high performance liquid chromatography-mass spectrometry(UHPLC-MS/MS) technique.Methods:From September 2019 to April 2020, 30 septic patients admitted in Department of Intensive Care Unit and 30 cases of physical examination at the same time in Shanxi Bethune Hospital were studied. Lipid metabolite in serum were detected by UHPLC-MS/MS technique. According to the 28 day survival outcome of sepsis patients, they were divided into survival group (21 cases) and death group (9 cases). The baseline data of case group and control group, survival group and death group were compared respectively. Independent sample t-test and orthogonal partial least squares discriminant analysis (OPLS-DA) were further performed to identify lipid biomarkers related to sepsis survival outcome. Receiver operating characteristic (ROC) curve to evaluate the predictive efficacy of differential lipids on the survival outcome of biomarker sepsis patients. Results:There were 32 lipid subclasses and 1 437 differential lipid molecules in the sepsis group compared with the control group. 196 differential lipid molecules in the sepsis survival group and the death group were screened according to the OPLS-DA model (variable weight of projection (VIP)>1), which were glycerophosphingolipids (129), sphingolipids (52), glycerides (14), and sterols (1).All the original data were statistically analyzed by univariate independent sample t-test. There were statistically significant differences in 15 lipid molecules between the two groups. Combined with VIP > 1 and P < 0.01, three lipid molecules were finally screened, which were sphingomyelin (SM) lipid molecules, SM (d30∶1), SM (d32∶2), SM (d32∶1). ROC curve analysis showed that the areas under curves of the above three lipid molecular were 0.915, 0.892, 0.898, respectively. The sensitivity was 77.27%, 95.45%,72.73%. The specificity was 100.0%, 87.5%,100.0%. Further Z-test showed that there was no significant difference in the area under the ROC curve ( Z(SM (d30∶1) and SM (d32∶1)) =0.36, P=0.722; Z(SM (d30∶1) and SM (d32∶2))=0.34, P=0.732; Z(SM (d32∶1) and SM (d32∶1))=0.07, P=0.942). Conclusions:Sphingomyelin may be involved in the formation of different clinical outcomes of sepsis, and has a good predictive effect on the survival outcome of sepsis.

Objective:To explore the value of multi-parametric MRI for thyroid gland in differentiating benign and malignant thyroid nodules.Methods:From December 2018 to May 2020, 78 patients with 91 post-surgically pathologically confirmed thyroid nodules were enrolled in Cancer Hospital & Shenzhen Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College. For each patient, the following MRI findings were obtained including the nodules′ location, size, shape, margin, signal intensity, cystic change, degree and pattern of contrast enhancement, involvement of surrounding structure, and ADC values. The time-intensity curve (TIC) were plotted and subtyped based on dynamic contrast enhancement MRI. The MRI findings between the benign and malignant thyroid nodules were compared using Mann-Whitney U test, χ 2 test or Fisher exact test. Multiple logistic regression analysis was used to select independent predictive variables and build a combined model, and the ROC curve was used to evaluate the diagnostic performance of each MRI finding and the combined model. Results:Between the benign and malignant thyroid nodules, the significant differences were found in size, shape, margin, presence of cystic changes, T 1WI signal intensity, ADC value, enhancement homogeneity, TIC subtypes and presence of thyroid capsule involvement ( P<0.05). Multivariate logistic analysis showed that ill-defined margin (OR=77.61), no presence of cystic changes (OR=36.11) and difference between TIC subtypes (OR=83.41) were independent predictive variables, and the area under the ROC curve (AUC) was 0.879, 0.788, and 0.751, respectively. The AUC, sensitivity and specificity of the combined model were 0.977, 0.986, and 0.904, respectively. Conclusions:Thyroid multi-parametric MRI derived findings can be used for the differential diagnosis of benign and malignant nodules. Combined with the independent risk factors with ill-defined margin, no presence of cystic changes, TIC of type plateau or washout, the diagnostic model has a higher diagnostic efficiency.