OBJECTIVE To provide standardized whole-process guidance on drug traceability codes for medical institutions in Sichuan province， ensuring medication safety and compliance with medical insurance supervision requirements. METHODS Based on evidence-based principles and expert consensus， Expert Consensus on Whole-process Management of Drug Traceability Codes in Medical Institutions of Sichuan Province （hereinafter referred to as the Consensus） was formulated through systematic literature review， field investigations， establishment of a multidisciplinary expert committee and multiple rounds of questionnare consultation via the modified Delphi method， and finalized through consensus meetings. RESULTS & CONCLUSIONS The Consensus clarifies key operating procedures for code verification， code assignment and code return， whole-process operational standards for drug warehouse acceptance and storage， drug warehouse outbound delivery and pharmacy acceptance check， drug distribution and dispensing in pharmacy and intravenous admixture center， medication administration in nursing units and examination departments， as well as drug return process. Key recommendations are proposed such as improving the core functions of the drug traceability system， unifying the hospital-wide traceability code database， strengthening the management of traceability codes for backup medications， establishing a management organization and institutional framework， and optimizing the architectural design and data governance requirements of the drug traceability system. The release of the Consensus will provide scientific， standardized and implementable practical guidelines for medical institutions of Sichuan province， helping to improve closed-loop management of the drug traceability system， strengthen medication safety and fulfil medical insurance fund supervision.

Objective:To investigate the association between regional white matter hyperintensity (WMH) volumes and cognitive impairment in Parkinson′s disease (PD) patients.Methods:The consecutive samples of PD cohort between October 2018 and August 2019 from the Department of Movement Disorders, Beijing Tiantan Hospital, Capital Medical University were retrospectively analyzed. Demographic and disease profiles, three-dimensional brain magnetic resonance imaging data were collected. Cognition was evaluated by Mini-Mental State Examination (MMSE), and mood was evaluated by Hamilton Anxiety Scale and Hamilton Depression Scale (HAMD). According to the MMSE score, patients were divided into PD with dementia group and PD without dementia group. WMH volume was automatically calculated using unidentified bright objects detector pipeline based on anatomical autonomic labeling atlas. Firstly, demographic and disease profiles, and WMH total volume were compared between groups with and without dementia. Then, partial correlation analysis [false discovery rate (FDR) corrected] and principal component (PC) regression analysis were used to assess the association between regional WMH volumes and the MMSE score.Results:Compared with PD without dementia group, PD with dementia group showed significantly higher WMH volume [5 125 (2 727, 13 718) mm 3vs 3 214 (1 959, 7 205) mm 3, Z=-2.256, P=0.024]. After adjusting for age, low density lipoprotein, cholesterol, and HAMD score, partial correlation analysis (FDR corrected) showed that WMH volumes in the right calcarine ( r=-0.204, PFDR-corrected=0.034), the right fusiform ( r=-0.180, PFDR-corrected=0.046), the right lingual ( r=-0.146, PFDR-corrected=0.047), the left middle temporal ( r=-0.168, PFDR-corrected=0.047), the left inferior parietal lobes ( r=-0.145, PFDR-corrected=0.047) and the right inferior parietal lobes ( r=-0.148, PFDR-corrected=0.047) were significantly associated with MMSE score. PC regression analysis demonstrated that MMSE score was significantly associated with PC2 ( B=-0.632, 95% CI -1.222--0.041, P=0.036), PC13 ( B=-1.384, 95% CI -2.155--0.613, P=0.001), and PC14 ( B=-0.913, 95% CI -1.599--0.227, P=0.009); PC2, PC13 and PC14 were mainly composed of temporo-parieto-occipital WMHs in the posterior brain, and the related WMH components accounted for 9.668% of WMH variance. Conclusions:The posterior WMH burden may be associated with cognitive impairment in PD patients. However, WMH burden may not be the main contributor to cognitive impairment in PD patients.

【Objective 】 To explore the influencing factors of Yang deficiency constitution in traditional Chinese medicine (TCM) from the perspective of mathematics with the use of calculation formulas, so as to protect patients from getting diseases caused by Yang deficiency constitution and provide suggestions for TCM disease prevention. 【Methods】  Based on the classification and determination criteria of TCM constitution implemented by China Association of Chinese Medicine, data for 24 solar terms from May 5, 2020(Start of Summer) to April 20, 2021 (Grain Rain) for the identification of Yang deficiency were collected by mobile constitution identification system. The grey correlation analysis method was used to determine the grey correlation degree of the factors influencing Yang deficiency constitution. In addition, a random forest model was constructed for the verification of the results from the grey correlation analysis, and for the evaluation of correlation degree between Yang deficiency constitution and its influencing factors. 【Results】  A total of 16 259 sets of data were collected from healthy or sub-healthy individuals aged from 18 to 60 years living in the central and northeastern parts of Sichuan Province(China) for the identification of TCM constitutions. After screening and preprocessing, a total of 544 sets of data for the identification of Yang deficiency constitution, involving 18 aspects of factors influencing Yang deficiency constitution. The results of the grey correlation analysis showed that there were 12 influencing factors whose grey correlation degree with Yang deficiency constitution was greater than 0.6. The accuracy of these 12 influencing factors with the training set and validation set of the Yang deficiency constitution random forest model were 98.39% and 93.12%, respectively. 【Conclusion】  In the sample data selected in this paper, grey correlation analysis is the appropriate technology to analyze the influencing factors of Yang deficiency constitution. It provides a new idea and a new methodological reference for the research and analysis of the influencing factors of TCM constitution.

Objective:To explore the application effect of dynamic case scenario simulation combined with video playback in the teaching of trauma emergency for nursing interns.Methods:A total of 80 nursing interns who had internship in the Department of Emergency, The First Affiliated Hospital of Guangzhou Medical University from December 2017 to November 2018 were recruited in the study, and they were randomly divided into experimental group and control group (40 nurses per group). The dynamic case scenario simulation combined with video playback method was applied in the experimental group, and the traditional teaching method was used in the control group. Both groups had the same teaching hours (8 class hours) and trauma practice outline. Trauma theoretical knowledge and operational skills of the two groups were assessed, and the scores of nursing students in the two groups, teaching satisfaction and teaching evaluation in the experimental group were analyzed. SPSS 19.0 was used for t test. Results:The trauma theoretical knowledge assessment results and clinical operation skills assessment scores of control group were (73.40±7.11) points and (78.69±8.71) points, respectively, and those of experimental group were (78.09±6.84) points and (85.34±6.43) points respectively, with a statistical difference between the two groups ( P<0.05). The overall satisfaction of nursing students in the experimental group was higher than that in the control group [(98.34±2.19) vs. (94.94±2.58), P<0.01]. Most of nursing students (97.5%, 39/40) in the experimental group hoped to apply dynamic case scenario simulation combined with video playback method in the future. Conclusion:The dynamic case scenario simulation combined video playback method could enhance the trauma emergency ability of the nursing interns and improve the teaching satisfaction and teaching effect.

Objective:To explore the effect of hydrogen sulfide (H 2S) on modulating the subunit Kir6.2 of adenosine triphosphate sensitive potassium channels via the cyclic guanosine monophosphate-dependent protein kinase (cGMP/PKG) signaling pathway in epileptic rat models. Methods:Sixty adult male SD rats were randomly divided into the following six groups (10 rats in each group) by random number table method: control, epileptic, H 2S donor, H 2S donor+epileptic, KT5823 (one inhibitor of the cyclic guanosine monophosphate-dependent protein kinase)+H 2S donor+epileptic, and glibenclamide (one inhibitor of the adenosine triphosphate sensitive potassium channels)+H 2S donor+epileptic groups. Except the control group, SD rats were intraperitoneally injected with plentylenetetrazole to make the kindling models and their behaviours were recorded including the latency period, the grade, and the duration of the first epileptic seizure according to the Racine′s standard. The waveforms of electroencephalogram (EEG) in hippocampus were also recorded during the seizure. The mRNA and protein levels of PKG and Kir6.2 in hippocampus were evaluated by Western blotting and quantitative real-time polymerase chain reaction, and the hippocampal concentrations of cGMP and phosphorylation of cyclic guanosine monophosphate-dependent protein kinase (p-PKG) were detected by enzyme linked immunosorbent assay. Results:Rats in the epileptic group showed Ⅳ-Ⅴ grade of epileptic seizure [4.500 (4.000, 4.875)], short latency period [(10.37±8.21) min] but long duration [(69.50±24.37) s] of seizure. Compared to the epileptic group, rats in the H 2S donor group showed Ⅱ-Ⅲ grade of epileptic seizure ( P=0.004), significantly longer latency period ( P<0.001), and shorter duration of seizure ( P<0.001). Compared to the H 2S donor+epileptic group, rats in the KT5823+H 2S donor+epileptic group showed Ⅲ-Ⅳ grade of epileptic seizures, significantly shorter latency period ( P<0.001), and longer duration of seizure ( P<0.001). The results of EEG showed that the wave patterns in the epileptic group were spike or sharp waves and the amplitudes were largest [(190.570±23.590) μV]. Compared with the epileptic group, amplitudes were reduced ( P<0.001) in the H 2S donor+epileptic group. PKG mRNA and PKG protein were expressed differently among all groups (PKG mRNA: n=5, H=26.714, P<0.001; PKG protein: n=5, F=30.597, P<0.001). Compared with the control group, the expression of both PKG mRNA and PKG protein was decreased (PKG mRNA: 1.000±0.001 vs 0.782±0.064, P=0.023; PKG protein: 0.550±0.037 vs 0.145±0.020, P=0.042) in the epileptic group. Besides, Kir6.2 mRNA and Kir6.2 protein were expressed differently among all groups (Kir6.2 mRNA: n=5, H=27.761, P<0.001; Kir6.2 protein: n=5, F=60.659, P<0.001). Compared with the control group, the expression of both Kir6.2 mRNA and Kir6.2 protein was decreased (Kir6.2 mRNA: 1.000±0.001 vs 0.897±0.033, P=0.004; Kir6.2 protein: 0.384±0.035 vs 0.215±0.016, P=0.024) in the epileptic group. And the concentrations of cGMP and p-PKG were decreased (cGMP: P<0.001; p-PKG: P<0.001) in the epileptic group. The results in the H 2S donor+epileptic group were up-regulated (PKG mRNA: P=0.047; PKG protein: P<0.001; Kir6.2 mRNA: P=0.011; Kir6.2 protein: P<0.001; cGMP: P<0.001; p-PKG: P<0.001) compared with the epileptic group. However, the results in the KT5823+H 2S donor+epileptic group were down-regulated (PKG mRNA: P=0.015; PKG protein: P=0.027; Kir6.2 mRNA: P=0.013; Kir6.2 protein: P=0.017; cGMP: P=0.005; p-PKG: P<0.001) compared with the H 2S donor+epileptic group. Conclusion:A possible mechanism is that H 2S prevents the epileptic seizure from modulating the subunit Kir6.2 of ATP sensitive potassium channels via the cGMP/PKG signaling pathway.

Objective:To investigate the training needs of nursing students during their practice in the emergency department, and to provide evidence for further improvement and development of the training.Methods:A total of 279 nursing students from 24 hospitals in Guangdong Province and 4 undergraduate universities running nursing specialty were investigated by convenience sampling. The contents of the questionnaire included general information and emergency training needs, including teaching contents and teaching methods.Results:Among the surveyed nursing students, 97.13% (271 students) believed it was very necessary to learn first aid knowledge and skills, and 85.66% (239 students) were very interested in learning first aid knowledge and skills. The score of "acute and critical skills" in the emergency training needs was the highest (88.91 points), and the score of "department rules and regulations" was the lowest (76.08 points). Univariate analysis showed that there were significant differences in gender, willingness to engage in nursing work in the future, interest in learning first aid knowledge and willingness to learn first aid knowledge independently by network ( P < 0.05). The three teaching methods ranked the highest in the survey of emergency teaching methods were situational teaching, problem-based learning and action teaching method. Conclusion:Nursing students have a strong demand for training during the emergency internship. Clinical nursing administrators and educators should combine the internship demand of nursing students and the teaching outline of medical colleges to carry out the training arrangement during the emergency practice, so as to meet the learning needs of nursing students during the emergency practice.

The circadian clock is a generator of self-sustaining physiological and behavioral rhythms, which can be guided by external environmental factors, so as to synchronize biological behaviors with external environmental changes. The modern lifestyles make the human body incapable of synchronization to the external time with the circadian rhythm, and thus form a social jet lag. Non-alcoholic fatty liver disease (NAFLD) is a disorder closely related to metabolic abnormalities. The circadian clock is closely related to metabolic abnormalities and NAFLD and changes among them may be involved with feeding mode and ingredients, sleeping time, and intestinal flora. Molecules associated with the circadian clock are expected to become potential drugs for the treatment of NAFLD. This article mainly reviews the latest research progress of circadian clock and NAFLD.

A case of Gilbert syndrome (GS) with a heterozygous mutation in the gene is reported. The patient had no symptoms except for recurrent sclera icterus since childhood. Laboratory examinations revealed an elevated unconjugated bilirubin. Biliary obstruction, hemolysis and other diseases that might cause jaundice were excluded. *28 and c.211G>A heterozygous mutations in gene were found, which may be another type of mutation causing GS in Chinese population.
Asian Continental Ancestry Group ; Bilirubin ; Gilbert Disease ; genetics ; Glucuronosyltransferase ; genetics ; Heterozygote ; Humans ; Mutation

It is shown that phytochemicals have a protective effect on colon cancer. Curcumin, polysaccharides (apple polysaccharides, mushroom glucans), saponins (paridis saponins, ginsenosides), resveratrol, quercetin and other plant drugs can inhibit colon cancer cell proliferation and promote cell apoptosis through different signaling pathways. In addition, it also has anti-inflammatory, antioxidant, anti-angiogenesis, reduce the toxic side effects of chemotherapy drugs, and reverse the drug resistance of tumor cells. Understan-ding the prevention and cure effect of plant medicine on colon cancer and its possible mechanism can provide more theoretical basis and therapeutic ideas for the clinical prevention and cure of colon cancer.

Current pharmaceutical formulation development still strongly relies on the traditional trial-and-error methods of pharmaceutical scientists. This approach is laborious, time-consuming and costly. Recently, deep learning has been widely applied in many challenging domains because of its important capability of automatic feature extraction. The aim of the present research is to apply deep learning methods to predict pharmaceutical formulations. In this paper, two types of dosage forms were chosen as model systems. Evaluation criteria suitable for pharmaceutics were applied to assess the performance of the models. Moreover, an automatic dataset selection algorithm was developed for selecting the representative data as validation and test datasets. Six machine learning methods were compared with deep learning. Results showed that the accuracies of both two deep neural networks were above 80% and higher than other machine learning models; the latter showed good prediction of pharmaceutical formulations. In summary, deep learning employing an automatic data splitting algorithm and the evaluation criteria suitable for pharmaceutical formulation data was developed for the prediction of pharmaceutical formulations for the first time. The cross-disciplinary integration of pharmaceutics and artificial intelligence may shift the paradigm of pharmaceutical research from experience-dependent studies to data-driven methodologies.