Objective:To summarize the first aid and nursing experience of a patient with upper gastrointestinal bleeding induced by Dieulafoy disease after liver transplantation.Methods:One case with upper gastrointestinal bleeding induced by Dieulafoy disease after liver transplantation was given a series of treatment and nursing measures, including identify bleeding manifestations, providing emergency nursing measures, nutritional support treatment, establishing infection prevention and control system, implementing prone ventilation and pulmonary function rehabilitation, precise immunosuppressive therapy, various forms of psychological care in the First Hospital of Jilin University in November 22, 2021.Results:After 58 d of careful treatment and nursing, the patient recovered and was discharged.Conclusions:Dieulafoy disease is a critical disease, and early diagnosis and targeted first aid and predictive care for liver transplant patients with such diseases are the key to promoting recovery.

Objective To investigate the current status about personal mastery in paediatric nurses in a tertiary hospital in Changchun and to analyse the influencing factors.Methods A total of 340 paediatric nurses in the hospital were enrolled in the investigation with the methods of general data questionnaire,personal mastery scale(PMS),nurses'perceived professional benefits scale(NPPBS)and practice environment scale(PES).Results 321 paediatric nurses complete the research.The total score of personal mastery among the paediatric nurses was found at(27.63±1.99)and was at a middle-high level.Multiple linear regression analysis showed the overall independent factors that affected the overall personal mastery of the paediatric nurses included type of job contract,average monthly income,working experience,number of night shifts per month,the perceived professional benefits and practice environment of the nurses(P<0.05).Conclusion Personal mastery among the paediatric nurses is at a middle-high level.Nursing managers should take targeted and pertinent measures to the identified influencing factors in order to improve the personal mastery,relieve work related pressures,reduce job burnout,enhance professional identity and thereby promote the stability and development the workforce in paediatric nursing.

Objective:To investigate the arsenic metabolism pattern and possible influencing factors in the population in drinking-water-borne endemic arsenic poisoning (drinking-water-borne arsenic poisoning for short) areas.Methods:In December 2004, a cluster sampling method was used to select arsenic poisoning population (arsenic poisoning group) and healthy population (control group) in drinking-water-borne arsenic poisoning area of Bayannur City, Inner Mongolia Autonomous Region as the survey subjects. A questionnaire survey was conducted. Arsenic content in drinking water at home of survey subjects, the levels of urinary arsenic and its metabolites, including [trivalent arsenic (As Ⅲ), inorganic arsenic (iAs), monomethylarsenic acid (pentavalent, MMA V), dimethylarsenic acid (pentavalent, DMA V), total arsenic (tAs), percentage of inorganic arsenic (iAs%), percentage of monomethylarsenic acid (MMA%), percentage of dimethylarsenic acid (DMA%), primary methylation index (PMI), secondary methylation index (SMI)] were tested using high performance liquid chromatography-inductively coupled plasma mass spectrometry; nail arsenic and nail selenium levels were tested using atomic fluorescence spectrometer. The influencing factors of arsenic metabolism pattern were analyzed by multiple linear regression. Results:A total of 536 survey subjects were included, including 155 individuals in the arsenic poisoning group and 381 in the control group. The water arsenic level ranged from 0.0 to 825.7 μg/L. Compared with the control group, there was no significant difference in the distribution of gender, education level and dental fluorosis in the arsenic poisoning group ( P > 0.05), but there were significant differences in the distribution of age, marital status, smoking, drinking and water arsenic ( P < 0.05). Compared with the control group, the levels of urinary As Ⅲ, iAs, MMA V, DMA V, tAs, MMA%, MMA/DMA and nail arsenic in the arsenic poisoning group were higher ( P < 0.05), while the levels of urinary DMA%, SMI and nail selenium were lower ( P < 0.05); but there was no statistically significant difference in the levels of urinary iAs% and PMI ( P > 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary As Ⅲ (β = - 19.82, - 23.83, 0.61, 0.21, 7.26, 2.98, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary tAs (β = 3.18, 3.25, 1.31, 15.59, P < 0.05). Gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic were the influencing factors of urinary iAs (β = - 20.47, - 25.90, 0.64, 0.25, 7.87, 3.11, P < 0.05). Age, gender, education level, water arsenic and nail arsenic were the influencing factors of urinary MMA V (β = 0.52, - 17.07, - 21.84, 0.22, 2.77, P < 0.05). Age, depth of wells, water arsenic and nail arsenic were the influencing factors of urinary DMA V (β = 2.35, 2.47, 0.85, 9.22, P < 0.05). Conclusions:Compared with healthy individuals, there are differences in arsenic metabolism pattern among individuals with drinking-water-borne arsenic poisoning. Age, gender, education level, depth of wells, water arsenic, total number of wells and nail arsenic may be influencing factors of different arsenic metabolism patterns.

Objective:To investigate the relationship between the outcome of skin injury and urinary arsenic methylation metabolism levels in people exposed to arsenic through drinking water.Methods:Using cluster sampling method, permanent residents from drinking-water-borne endemic arsenic poisoning areas in Bayannur City, Inner Mongolia Autonomous Region were selected as survey subjects in 2004 (before water improvement). In 2017 (after water improvement), 74 survey subjects from 2004 were tracked and followed up. Urine samples were collected from survey subjects and high-performance liquid chromatography inductively coupled plasma mass spectrometry was used to detect the levels of arsenic methylation metabolites in urine. According to the "Diagnosis of Endemic Arsenic Poisoning" (WS/T 211-2015), the clinical grading (normal, suspicious, mild, moderate and severe) of skin injury of the survey subjects and the outcome of 2017 (improved, unchanged, aggravated) were assessed. A database was established and SPSS 25.0 software was used for statistical analysis.Results:The clinical grading ratios of skin injuries among survey subjects in 2004 and 2017 were compared, the differences were statistically significant (normal, suspicious, mild, moderate and severe: 38, 18, 4, 14 cases in 2004 and 27, 31, 3, 13 cases in 2017, χ 2 = 53.02, P < 0.001). Compared with 2004, in 2017, the levels of total arsenic (tAs), inorganic arsenic (iAs), monomethylarsenic (MMA), dimethylarsenic (DMA), percentage of inorganic arsenic (iAs%), and ratio of monomethylarsenic to dimethylarsenic (MMA/DMA) in the urine of survey subjects were low, and the differences were statistically significant ( Z = - 8.24, - 9.07, - 7.81, - 8.04, - 8.24, - 3.56, P < 0.001). The levels of dimethylarsenic percentage (DMA%), monomethylation rate (PMI) and dimethylation rate (SMI) were higher, and the differences were statistically significant ( Z = - 6.39, - 8.24, - 3.52, P < 0.001). In 2004, patients with different clinical grading of skin injuries had different outcomes in 2017 (χ 2 = 30.80, P < 0.001). There were statistically significant differences in tAs, iAs, MMA and DMA variation in urine among skin injury patients with different outcomes ( H = 10.62, 9.35, 8.80, 9.13, P < 0.05). Conclusions:Improving water can significantly reduce the levels of tAs, iAs, MMA, and DMA in the urine of arsenic exposed individuals. The outcome of skin injury in individuals exposed to arsenic through drinking water is related to the variation of urinary arsenic methylation metabolites tAs, iAs, MMA, and DMA.

Objective To observe the drainage pathways of interstitial fluid(ISF)and substance clearance pattern in rat brain with fluorescence tracing imaging and treacer-based MRI.Methods Thirty-three male SD rats were randomly divided into fluorescence tracing group(F group,n=18)and treacer-based MRI group(MRI group,n=15),then further divided into thalamic,hippocampal and caudate nucleus subgroups,respectively.Evans blue was injected to rats in F group,and cardiac perfusion was performed after injection,then brain tissue was harvested,and frozen sections were made to observe the drainage pathways of IFS in different subgroups.MRI was performed on rats in MRI group before and after injection of gadolinium-diethylenetriamine pentaacetic acid(Gd-DTPA)to observe signal intensity in ROI of brain regions in different subgroups,the signal unit ratio was calculated,and the changing trend was explored.Results ISF in thalamus,hippocampus and caudate nucleus had different dominant drainage pathways,and the time of tracer reached to adjacent brain regions and whole brain in F group were different.In MRI group,within 4 h after injection of Gd-DTPA,there were differences in direction and clearance rate among tracer in thalamus,hippocampus and caudate nucleus,mainly manifesting as the tracer in thalamus and hippocampus drained to the ipsilateral cortex and lateral ventricle,while the tracer in the caudate nucleus diffused to the cortex and midbrain,and there were differences of the peak time of tracer signal among adjacent drainage brain regions.Conclusion Fluorescence and MR dual-mode imaging showed that there were differences in the dominant drainage pathways of IFS and clearance rates of small molecule substances among hypothalamus,hippocampus and caudate nucleus of rats.

Objective:To investigate the application effect of CBL teaching based on mind mapping combined with know-want-learned (KWL) chart in standardized nursing training for neonatal infection.Methods:A total of 58 students who participated in standardized training in Department of Neonatology, Children's Hospital, Capital Institute of Pediatrics, were included in the study and were divided into control group and observation group using a simple random number table, with 29 students in each group. The students in the control group were given traditional teaching, and those in the observation group were given CBL teaching based on mind mapping combined with KWL chart. Assessment score was compared between the two groups, and the two groups were compared in terms of self-directed learning ability, critical thinking ability, and evaluation of teaching effectiveness. SPSS 22.0 was used to perform the chi-square test and the t-test. Results:Both groups had significant increases in the scores of theoretical knowledge (91.65±5.17 vs. 84.58±9.14), clinical skills (89.16±6.24 vs. 83.34±7.40), Self-Rating Scale of Self-Directed Learning (257.23±25.79 vs. 241.56±22.74), and Critical Thinking Disposition Inventory-Chinese Version (317.14±38.50 vs. 285.78±34.71) after training, and the observation group had significantly higher scores than the control group ( P<0.05). The observation group had a significantly higher evaluation of teaching effectiveness than the control group ( P<0.05). Conclusion:CBL teaching based on mind mapping combined with KWL chart can improve the assessment scores of students and improve their self-directed learning ability and critical thinking ability, and students have a high evaluation of teaching effectiveness.

Objective:To study the effect of water improvement on urinary arsenic methylation metabolism in population exposed to arsenic through drinking water.Methods:A cluster sampling method was used to select drinking water type arsenism areas in Bayannur City, Inner Mongolia Autonomous Region. Permanent residents lived in the arsenism areas for more than 10 years were selected as the survey subjects. Urine samples ( n = 874, 111, 145) were collected in 2004 (before water improvement), 2014 (4 years after water improvement) and 2017 (7 years after water improvement), respectively, and some subjects were followed up in 2014 and 2017. High performance liquid chromatography-inductively coupled plasma mass spectrometry (HPLC-ICP-MS) was used to detect different forms of arsenic metabolites in urine [inorganic arsenic (iAs), monomethylarsonic acid (MMA), dimethylarsenic acid (DMA)], and total arsenic (tAs), the iAs percentage (iAs%), MMA percentage (MMA%), DMA percentage (DMA%), monomethylation rate (PMI), dimethylation rate (SMI), and the ratio of MMA to DMA (MMA/DMA) were calculated. The content and distribution of urinary arsenic metabolites in people exposed to arsenic before and after water improvement were compared and analyzed. Results:Compared with 2004, the levels of iAs, MMA, DMA, tAs and iAs% in urine of arsenic exposed population in 2014 were lower ( Z =-14.12,-12.79,-14.27,-14.21,-6.90, P < 0.001), the levels of MMA%, DMA% and PMI were higher ( Z =-3.22,-2.91,-6.90, P < 0.05); in the same drinking water arsenic exposed population, compared with 2004, the levels of iAs, MMA, DMA, tAs and iAs% in urine ( n = 48) were lower ( Z =-5.57,-5.53,-5.54,-5.55,-2.86, P < 0.05) in 2014, and PMI level was higher ( Z =-2.86, P = 0.004). Compared with 2014, the levels of iAs% and MMA/DMA in urine of arsenic exposed population in 2017 were lower ( Z =-4.97,-2.25, P < 0.05), the levels of MMA, DMA, tAs, DMA%, PMI and SMI were higher ( Z =-4.01,-5.39,-4.77,-4.61,-4.97,-2.25, P < 0.05); in the same drinking water arsenic exposed population, compared with 2014, the level of iAs% in urine ( n = 28) was lower ( Z =-2.87, P = 0.004) in 2017, the levels of DMA% and PMI were higher ( Z =-2.32,-2.87, P < 0.05). Conclusion:Water improvement could significantly reduce the levels of urinary arsenic metabolites iAs, MMA, DMA and tAs and increase the level of DMA% in arsenic exposed population.

This paper summarizes the current situation and necessity of the training of traditional Chinese medicine (TCM) nursing specialists in China, as well as the existing achievements and existing problems, and puts forward the prospects and suggestions for the training of TCM nursing team, so as to strengthen the construction of TCM nursing culture, build a high-quality TCM nursing talent team, and promote the high-quality development of TCM nursing.

Objective:RNA interference technology (siRNA) was used to inhibit the expression of DJ-1 gene in lung squamous cell carcinoma HTB-182 cells, then, tandem affinity purification mass spectrometry (TAP-MS) was performed to screen the interacting proteins of DJ-1 in lung cancer cell line of HTB-182.Methods:The siRNA lentivirus vector targeting DJ-1 gene was constructed to infect HTB-182 cells (DJ-1 siRNA group), and the lentivirus vector control group (control siRNA group) and blank control group were established. The expression level of DJ-1 protein was detected by Western blot, and the endogenous DJ-1 protein silenced si-DJ-1-HTB-182 cells were established. The specific primers of DJ-1 were designed, and the DJ-1 expression plasmid pNTAP-DJ-1 with streptomycin binding peptide label (SBP) and calmodulin binding peptide label (CBP) was constructed. The cell line DJ-1 siRNA HTB-182 was stably transfected with liposome, and the positive clones were screened by G418. The positive clones were verified by Western blot, and the interacting proteins of DJ-1 were found by TAP-MS.Results:The protein expression of DJ-1 in DJ-1 siRNA interference group was significantly lower than that in empty plasmid group and blank control group ( P<0.05); HTB182 cell line stably expressing pNTAP-DJ-1 plasmid was successfully constructed; Three proteins interacting with DJ-1 were screened by TAP-MS: cytokeratin 1 (keratin 1), cytokeratin 10 (keratin 10) and NADPH oxidase activating protein P47 (P47 Px). Conclusions:Keratin 1, Keratin l0 and P47 Px protein may be DJ-1 interactions protein.

Objective:To investigate the prevalence of residents in a drinking water-borne endemic arsenism area in Togtoh County Inner Mongolia.Methods:In a drinking water-borne endemic arsenism area (Togtoh County of Inner Mongolia), eighty-five permanent residents (residence time ≥20 years) of Hedgehog Valley were selected as exposure group. In the same period, 58 people from a non-arsenism area (Lanjiayao of Helingeer County) were selected as the control group. The general situation of the respondents was investigated, and water arsenic, urine arsenic, blood glucose, blood lipids, blood pressure, liver function, renal function, electrocardiogram and abdominal B-ultrasound were analyzed in both groups. The exposure group was divided into the disease group and the non-disease group according to whether arsenic poisoning skin lesions occurred, and the general conditions and blood pressure changes in the two groups were analyzed.Results:In the exposure group and control group, there were no significant differences among the indicators such as sex, age, smoking, drinking and taking vitamin or calcium tablet ( P > 0.05). Arsenic concentration [Median (interquartile range)] in drinking water of the exposure group was 163.34 (35.34) μg/L, and in urine was 269.72 (152.54) μg/L. Arsenic concentration in drinking water of the control group was 2.96 (5.62) μg/L, and in urine was 24.21 (28.63) μg/L. There were no statistical differences in blood glucose, blood lipids between the exposure group and control group (χ 2 = 0.865, 0.886, P > 0.05); but liver function, renal function, sinus arrhythmia and fatty liver were significantly different statistically (χ 2 = 4.654, 4.355, 4.725, 12.423, P < 0.05); the detection rate of abnormal blood pressure in control group was higher than that of the exposure group (χ 2 = 16.289, P < 0.01). Skin lesions occurred in 24 patients (28.24%) in the exposure group and no skin lesions in 61 patients (71.76%). In disease group, 14 cases (58.33%, 14/24) smoked, the proportion of smoking was higher than that of cases in non-disease group(31.15%, 19/61, χ 2 = 5.360, P < 0.05); and the prevalence of hypertension (50.00%, 12/24) in cases of disease group was higher than that of cases in non-disease group (26.23%, 16/61, χ 2 = 4.406, P < 0.05). Conclusions:Long-term exposure to arsenic might injure liver function and renal function, and enhance the risk of arrhythmia and fatty liver. Smoking may be a risk factor for skin lesions in residents of drinking water-borne endemic arsenism area.