At present, Pediatrics textbook for international students is still in the exploring stage in China. It is necessary to make an attempt to write pediatric English textbooks by ourselves for the purpose of minimizing the gap between English original textbook and Chinese spectrum of disease, and being in accordance with teaching programs. Pediatrics English textbook should be written with excellent original English textbooks as important implications for professional resources, and adopting readable writing styles as well as multifaceted language support. Quality assurance of the textbook relies on the evaluations, and then the concrete improvement measures focusing on the significant parts of the difficulties such as author's selection, compiling style and language of textbook.

ObjectiveTo assess gene chip application value in detecting pathogenic bacteria in intracranial infection cases.MethodsPrimers and probes aiming at the specific DNA sequences of 4 kinds of common pathogenic bacteria and 6 kinds of common drug resistance genes (DRGs) were designed and used to identify the bacteria and DRGs among 30 cerebrospinal fluid (CSF) specimens (12 positive,18negative in CSF culture) from patients with intracranial infection using multiplex polymerase chain reaction (mPCR) and gene chip.The results of gene detection were compared with those of CSF culture and drug sensitivity testing.ResultsBacteria were identified and DRGs were detected in 15 specimens; DRGs and 16S gene were detected in 8 specimens; neither bacterium nor DRG was detected in 7 specimens.ConclusionGene chip technique is characterized by its relative sensitivity and rapidity of detecting the pathogenic bacteria in CSF of intraeranial infection cases.

Objective To study the influence of the structure and performance of tracheal intuba-tion model on teaching effect. Methods Three models of tracheal intubation with different structures were named M1, M2 and M3. A total of 91 medical students of grade 5 were enrolled, divided randomly into group A, B and C after theoretical knowledge learning of 30 minutes and examination, rained respectively on the M1, M2 and M3 for 90 minutes, and then evaluated. The models were changed within the three groups and students were then trained and evaluated for the second time. Comparison of the results was performed among the three groups. After one month, group A, B and C received examination and evaluation again. Students and instructors were asked to fill in the rating scale for M1, M2 and M3. Results ①No statistically significant differences were found in the number (31, 28, 32), gender (male/female, 10/21, 9/19, 12/20) and the pre-training test score of the students among the three groups. ②The score of the first evaluation on M1 was significantly lower in group A than in group B and C, while the scores of the second and third examination were significantly higher in group A than in the other two groups. ③The score after one month was significantly higher in group A than in group B and C. ④M1 scores (4, 5; 4.63, 5) were significantly higher than those in group B (3, 4; 2, 2.5) and group C (2, 3; 2, 2.25). Conclusion The structure and performance of the training model of tracheal intubation can indeed influence the teaching effect.

Objective:The classification model of prognosis of elderly cancer patients in rural areas of Shaanxi province was constructed based on machine learning algorithm, and its effectiveness was verified, providing reference for early prognosis recognition and intervention treatment.Methods:Using a multicenter, cross-sectional survey method and convenience sampling method, 597 elderly cancer patients in rural areas hospitalized in 9 different medical institutions (Shaanxi Cancer Hospital and its member units of specialty alliance) in Shaanxi Province from July to August 2022 were selected as the research objects, and a variable database of "basic information", "self-care ability", "symptoms", "comprehensive needs" and "quality of life" of elderly cancer patients in rural areas was established. Machine learning and statistical analysis were carried out to explore the important prognostic characteristics of elderly cancer patients in rural areas, and a prognostic classification model for elderly cancer patients in rural areas was constructed and verified.Results:The 597 valid questionnaires were ultimately collected.Among the 597 elderly cancer patients in rural areas, 207 were males and 390 were females, aged (69.56 ± 8.84) years. The results of cluster exploration showed that the prognosis of elderly cancer patients in rural areas was divided into three categories: good, medium and poor. The areas under the working characteristic curves of the subjects in good, medium and poor were 0.84, 0.79 and 0.69, respectively. The results of characteristic exploration showed that 10 indicators of "whether accompanied by metastasis", "distress", "sadness", "numbness", "eating", "walking", "fatigue", "forgetfulness", "fun of life" and "relationship with others" were important characteristic indicators of prognosis evaluation of elderly cancer patients in rural areas. There were statistically significant differences among the 10 important characteristic indicators in the three categories of prognosis of rural elderly cancer patients ( χ2=21.07, H values were 18.51-144.38, all P<0.01). There were statistically significant differences in the three categories of "comprehensive needs", "quality of life", "self-care ability" and "symptoms" ( H values were 519.40, 40.80, 103.69, all P<0.01). Conclusions:The construction and verification of a prognostic classification model for elderly cancer patients in rural areas based on machine learning algorithm can effectively explore the important characteristic indicators and prognostic classification of elderly cancer patients in rural areas, and provide basis and guidance for clinical medical staff to make individualized plans.

Objective To investigate current status in knowledge,attitude and practice(KAP)of transitional care among the nurses in Shaanxi province,identify the influencing factors that hinder the transitional care and carry out training of transitional care for the nurses in different specialties in order to provide a theoretical basis for establishing a transitional care model for discharged patients.Methods A total of 2 288 nurses were selected to participate the survey from 41 hospitals in Shaanxi province by the stratified two-stage random sampling method.A self-designed questionnaire for general information,an obstacle factor scale,and a KAP of transitional care questionnaire were used as the survey instruments.The data acquired from the survey were processed by Cluster analysis to identify potential categories and the influencing factors.Results Totally 2085 nurses finished the study.Total score of KAP of transitional care among the nurses in Shaanxi province was found at(134.96±23.75),which was at a medium level.The scores of knowledge,attitude and practice were 77.24%,80.64%and 76.98%respectively.Cluster analysis showed that all the nurses could be categorised into either a lower scored group(n=1 596,76.5%)or a higher scored group(489,23.5%),with a best potential category number of 2 for the 2 085 nurses who participated the survey.There were statistically significant differences between the groups in terms of care training,telephone follow-up,network platform,outpatient service of nursing experts,family visits,patient club and hospital categories(all P＜0.05).Logistic regression analysis on even factors above showed that care training,telephone follow-up,network platform and patient club could significantly affect the potential categorisation of KAP of the nurses in transitional care(all P＜0.05).The main factors that hindered the transitional care included insufficient human resources(93.81%),insufficient supply of community services(93.57%)and lack of a standardised flowchart for transitional care(93.09%).Conclusions Levels of KAP about the transitional care are at a medium level among the nurses of 41 hospitals in Shaanxi province,which indicates that the nurses are active in attitude,but the knowledge and practice are required to be further improved and standardised.The results of cluster analysis indicate that it is necessary for nursing managers to carry out targeted trainings in transitional care for the nurses in different categories.This study provides a theoretical basis to establish a diversified transitional care mode for discharged patients in Shaanxi province.

Calcitonin ; therapeutic use ; Humans ; Hypercalcemia ; drug therapy ; etiology ; In Situ Hybridization, Fluorescence ; Williams Syndrome ; complications ; drug therapy

Objective: To investigate the serum lipidomic profile in patients with nonalcoholic fatty liver disease (NAFLD), and to analyze the lipid metabolism characteristics of NAFLD. Methods: The subjects were divided into control group (23 patients) and pathologically confirmed NAFLD group (42 patients), and ultra-high-performance liquid chromatography-tandem mass spectrometry was used to measure serum lipidomic metabolites. The partial least squares-discriminant analysis (PLS-DA) model was established to analyze the differences in lipid metabolism with reference to the univariate analysis. The t-test and Mann-Whitney U test were used for data analysis. Results: A total of 239 lipids were identified and qualitative and quantitative analyses were performed. The PLS-DA model (R2 = 0.753, Q2 = 0.456) and the univariate analysis showed that 77 lipids were metabolized differentially between the NAFLD group and the control group (VIP > 1, P < 0.05), including free fatty acid, phosphatidylcholine, phosphatidylethanolamine, phosphatidylinositol, lysophosphatidylcholine, lysophosphatidylinositol (LPI), choline plasmalogen (PlsCho), ethanolamine plasmalogen (PlsEtn), ceramide (Cer), sphingomyelin, and triglyceride (TG). Compared with the control group, the NAFLD group had significant increases in monounsaturated fatty acids (increased by 39%, t = -3.954, P < 0.05) and TGs (increased by 36%, Z = -2.662, P < 0.05), mainly TGs with low numbers of carbon atoms and unsaturated bonds, while there were reductions in TGs with high numbers of carbon atoms and unsaturated bonds. In addition, compared with the control group, the NAFLD group had significant increases in the levels of LPI (increased by 223%, t = -3.858, P < 0.05) and Cer (increased by 21%, t = -2.481, P < 0.05) and significant reductions in PlsCho (reduced by 18%, t = 3.184, P < 0.05) and PlsEtn (reduced by 20%, t = 2.363, P < 0.05). Conclusion There is a significant difference in lipid metabolism profile between NAFLD patients and healthy people, and a serum lipidomic analysis of NAFLD helps to further clarify the characteristics of lipid metabolism in patients with NAFLD.

ObjectiveTaking the oligosaccharides in Rehmanniae Radix（RR） as the research object， the content determination method based on high performance liquid chromatography-evaporative light scattering detection（HPLC-ELSD） and thin layer chromatography（TLC） identification method were established to explore the content and distribution of oligosaccharides in different RR herbs and decoction pieces. MethodA total of 10 batches of fresh and raw RR， 12 batches of RR decoction pieces and Rehmanniae Radix Praeparata（RRP） were collected. A TLC identification method for fructose， sucrose， manninotriose， raffinose and stachyose in RR was established by using silica gel G thin-layer plates with ethyl acetate-water-anhydrous formic acid-glacial acetic acid（12∶6∶5∶4） as the developing agent and 10% sulfuric acid-ethanol solution as chromogenic agent. A HPLC-ELSD was used to determine the contents of fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose in different RR herbs and decoction pieces. Then principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） were used to analyze the contents of 7 kinds of saccharides in RR herbs and decoction pieces， and the differential components were screened with the value of variable importance in the projection（VIP）>1. ResultThe results of TLC identification showed that fresh RR， raw RR and its decoction pieces showed spots of the same color on the corresponding positions with the control products of stachyose， raffinose and sucrose， while the TLC of RRP showed spots of the same color at corresponding positions to manninotriose and fructose controls. The results of methodological investigations of 7 analytes met the requirements of determination. Only glucose， sucrose， raffinose and stachyose were detected in 10 batches of fresh RR and 10 batches of raw RR herbs， the average contents of which were 0.84%， 4.62%， 2.42% and 57.90% in fresh samples， while those were 3.16%， 9.36%， 7.05% and 38.10% in raw samples， respectively. In 12 batches of RR decoction pieces， the contents of the above seven sugars（fructose， glucose， sucrose， melibiose， raffinose， manninotriose and stachyose） were 1.68%， 4.27%， 9.96%， 0.53%， 6.85%， 3.05% and 37.52%， respectively. In 12 batches of RRP， the contents of the above seven sugars were 10.62%， 11.01%， 1.25%， 3.35%， 1.12%， 28.16% and 6.39%， respectively. The results of multivariate statistical analysis showed that fresh RR， raw RR and RRP could be distinguished from each other by the contents of the 7 sugars， and the main differential components were stachyose， sucrose， raffinose and manninotriose. ConclusionIn terms of oligosaccharides， the contents and types of saccharides in different herbs and decoction pieces of RR are quite different， and the TLC identification method based on this can be used to distinguish raw RR from RRP， which can lay a foundation for improving the quality standard of RR and developing and applying oligosaccharides in different processed products of RR.