The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

The focus of green analytical chemistry(GAC)is to minimize the negative impacts of analytical pro-cedures on human safety,human health,and the environment.Several factors,such as the reagents used,sample collection,sample processing,instruments,energy consumed,and the quantities of hazardous materials and waste generated during analytical procedures,need to be considered in the evaluation of the greenness of analytical assays.In this study,we propose a greenness evaluation metric for analytical methods(GEMAM).The new greenness metric is simple,flexible,and comprehensive.The evaluation criteria are based on both the 12 principles of GAC(SIGNIFICANCE)and the 10 factors of sample prep-aration,and the results are presented on a 0-10 scale.The GEMAM calculation process is easy to perform,and its results are easy to interpret.The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

Objective:To investigate the clinical features and family gene mutation results of the adult onset Gaucher disease patient.Methods:The diagnosis and treatment of a patient with Gaucher disease who was admitted to the Affiliated Zhongshan Hospital of Dalian University in March 2020 were retrospectively analyzed, and the literature was reviewed.Results:The patient (the proband) was a 34-year-old female, the anemia, thrombocytopenia and splenomegalia were found in 2005. After regular physical examination, the decrease of leukocyte, red blood cell and platelet was gradually aggravated, and the progressive enlargement of the spleen was aggravated. She visited the clinic on March 19, 2020 due to worsening of fatigue. The physical examination revealed hepatomegaly, splenomegaly; blood routine examination showed pancytopenia, and bone marrow morphology showed a large number of Gaucher cells. Peripheral blood β- glucocerebrosidase (GBA) of the proband was 1.8 nmol·mg -1·h -1 (reference value 10-25 nmol·mg -1·h -1), and the GBA of her father, mother, brother, and daughter was normal. The second-generation sequencing results showed that the proband had a mutation in the BCL2 gene at locus c.127G>A p.A43T, with a mutation frequency of 49.53%. GBA gene testing showed that the proband had a heterozygous mutation at c.1448T>C (a pathogenic mutation), heterozygous mutations at c.1026A>G and c.1038C>T (homozygous mutations), and a heterozygous mutation at c.1075G>T (mutation of unknown clinical significance). The proband's father had c.1448T>C heterozygous mutation, and he was a carrier; the proband's mother had c.1075G>T heterozygous mutation; the proband's brother had no gene mutation; the proband's daughter had c.1448T>C heterozygous mutation, and she was a carrier. The diagnosis was type Ⅰ Gaucher disease (non-neuropathic). The patient was proposed to participate in the clinical trial of imiglucerase, and during the follow-up, the blood routine was relatively stable, and the spleen remained progressively enlarged. Conclusions:Gaucher disease is rare, which is easy to be misdiagnosed and underdiagnosed. It is necessary to be alert to the possibility of Gaucher disease when there are patients with unexplained hemocytopenia, liver and spleen enlargement and multiple organs involvement, and enzyme and genetic tests should be performed as soon as possible.

Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and highly aggressive hematological malignancy, there is no standard treatment and the prognosis is very poor. Affiliated Zhongshan Hospital of Dalian University report a case of 85-year-old BPDCN male patient treated with DVT regimen (decitabine combined with Venetoclax and thalidomide) and achieved complete remission. The patient with skin nodules and the pathology diagnosed BPDCN, the next generation sequencing of skin nodules showed mutations of IDH2 and ASXL1. DVT (decitabine combined with Venetoclax and thalidomide) has significant efficacy with rapid and deep remission for BPDCN, and the adverse effects is less, especially suitable for elderly patients who cannot tolerate intense chemotherapy.

Objective To construct and apply an intelligent follow-up information system for patients with cancer pain,providing references for improving the efficiency of hospital follow-up and promoting pain management of patients at home.Methods The intelligent discharge follow-up system for patients with cancer pain includes 2 platforms,namely a patient self-report platform and an administrator operation platform.The administrator operation platform consists of 5 modules,namely the workbench module,the follow-up plan module,the follow-up results module,the health education module and the data statistics module.In January 2022,the system was officially put into clinical application.The use of the system was analyzed,and patients'completion rate,medication compliance,incidence of moderate and severe pain and satisfaction with pain control were compared before(from January 2020 to December 2021)and after(from January 2022 to November 2023)the application of the system.Results At present,this system has been applied in 95 cancer-related wards of our hospital.From January 2022 to November 2023,the number of people who should be followed up was 4 248,and the number of people who actually completed the follow-up was 4 127;the rate of follow-up completion was 97.2%;the rate of timely completion of the follow-up was 94.9%;the rate of automatic follow-up by the system was 40.1%;the rate of patient abnormality report was 31.9%;the rate of timely treatment of patient abnormality report was 89.1%.After the application of the system,the completion rate of pain follow-up was increased,and the difference was statistically significant(P<0.001).After the application of the system,the medication compliance rate of patients with cancer pain increased from 86.9%to 91.0%;the incidence of moderate and severe pain decreased from 6.8%to 5.2%;the satisfaction with pain control increased from 81.0%to 83.5%(P<0.05).Conclusion The intelligent discharge follow-up system for patients with cancer pain can effectively improve the discharge follow-up efficiency and promote the management of patients with cancer pain at home.

Green analytical chemistry (GAC) focuses on mitigating the adverse effects of analytical activities on human safety, human health, and environment. In addition to the 12 principles of GAC, proper GAC tools should be developed and employed to assess the greenness of different analytical assays. The 15 widely used GAC metrics, i.e., national environmental methods index (NEMI), advanced NEMI, assessment of green profile (AGP), chloroform-oriented toxicity estimation scale (ChlorTox Scale), Analytical Eco-Scale, Green Certificate Modified Eco-Scale, analytical method greenness score (AMGS), green analytical procedure index (GAPI), ComplexGAPI, red-green-blue (RGB) additive color model, RGB 12 algorithm, analytical greenness calculator (AGREE), AGREE preparation (AGREEprep), HEXAGON, and blue applicability grade index (BAGI), are selected as the typical tools. This article comprehensively presents and elucidates the principles, characteristics, merits, and demerits of 15 widely used GAC tools. This review is helpful for researchers to use the current GAC metrics to assess the environmental sustainability of analytical assays.

Green analytical chemistry(GAC)focuses on mitigating the adverse effects of analytical activities on human safety,human health,and environment.In addition to the 12 principles of GAC,proper GAC tools should be developed and employed to assess the greenness of different analytical assays.The 15 widely used GAC metrics,i.e.,national environmental methods index(NEMI),advanced NEMI,assessment of green profile(AGP),chloroform-oriented toxicity estimation scale(ChlorTox Scale),Analytical Eco-Scale,Green Certificate Modified Eco-Scale,analytical method greenness score(AMGS),green analytical pro-cedure index(GAPI),ComplexGAPI,red-green-blue(RGB)additive color model,RGB 12 algorithm,analytical greenness calculator(AGREE),AGREE preparation(AGREEprep),HEXAGON,and blue appli-cability grade index(BAGI),are selected as the typical tools.This article comprehensively presents and elucidates the principles,characteristics,merits,and demerits of 15 widely used GAC tools.This review is helpful for researchers to use the current GAC metrics to assess the environmental sustainability of analytical assays.

Objective:To understand the degree of professional autonomy of nurses in Pediatric Nursing Alliance and the status of pediatric nursing practice environment, which providing guidance for the development of a series of specialized training in the alliance.Methods:Stratified random sampling method was used to conduct a questionnaire survey on nursing staff of different professional levels in Pediatric Nursing Alliance, which through the questionnaire star by using the questionnaire general information and training demand questionnaire, nurses practice professional autonomy scale, pediatric nursing staff structural empowerment questionnaire and nursing practice influencing factors questionnaire through the questionnaire star.Results:The total score for professional autonomy of nurses in the pediatric alliance was 192.66±18.63, the structural empowerment ( OR=1.137, 95% CI=1.084-1.194), lack of caring team ( OR=2.763, 95% CI=1.443-5.292) and performance evaluation ( OR=0.498, 95% CI= 0.274-0.908), specialized education and professional experience ( OR=0.548, 95% CI= 0.334-0.871) were affecting the clinical nursing practice. Conclusion:The degree of professional autonomy of nurses in the Pediatric Nursing Alliance is in the middle and high level. Key factors affecting nursing practice including insufficient structural empowerment, lack of opportunities to continue learning, lack of nursing teams, lack of effectiveness evaluation and the lack of specialized education and work experience, which guiding the pediatric nursing alliance to continuously deepen the connotation of pediatric nursing professional and innovative team collaboration new model, utilize the advantages of resources to actively cultivate specialized nursing research personnel, carry out multi-disciplinary and cross-disciplinary cooperation, improve the nursing quality evaluation index system, so as to enhance the professional nursing service capacity and value.

Objective:To explore the value of mammography-based radiomics for preoperative prediction of axillary lymph node metastasis in breast carcinoma.Methods:The clinical and X-ray data of female patients with pathologically confirmed breast cancer in Henan People′s Hospital from June 2013 to July 2017 were analyzed retrospectively. A total of 214 patients, aged 30-85 (53±11) years, were randomly divided into training set ( n=153) and verification set ( n=61) according to the ratio of 3∶1. According to pathological findings of the axillary lymph node metastasis, 99 cases were divided into positive group and 115 cases into negative group. The lesions were segmented and extracted in X-ray images of mediolateral oblique (MLO) and cranial caudal (CC). Three, nine and seven axillary lymph node metastasis related histologic features were selected from the high dimensional features of CC, MLO and CC combined MLO images by lasso regression model. According to the characteristics of imaging and clinical characteristics, the prediction model was constructed. The prediction ability of the model was verified by 10% cross validation. Results:The lymph node in positive group was larger than negative groups, the difference was statistically significant ( t=2.611, P<0.05). In the validation set, the area under curve (AUC) values of CC, MLO, CC combined with MLO images, clinical features and clinical features combined with CC and MLO images were 0.680, 0.723, 0.740, 0.558 and 0.714, respectively. Among them, CC combined with MLO images had the highest prediction efficiency, and AUC values were higher than CC alone, MLO images and CC combined with MLO images. Conclusions:Quantitative radiomics features of breast tumor extracted from digital mammograms are helpful for preoperatively predicting axillary lymph node metastasis. Future larger studies are needed to further evaluate these findings.

Objective:To investigate the imaging and pathology features of rosette-forming glioneuronal tumor (RGNT).Methods:From January 2010 to September 2019, 7 patients with pathologically conformed RGNT in our hospital were chosen, the imaging findings were analyzed retrospectively and compared with corresponding pathological features.Results:Six patients showed single lesion: 4 located in the vermis and its surrounding areas, in which 2 involved the pineal region and the tectum; the other 2 lesions located in the fourth ventricle. One patient had multiple lesions, which located in the third ventricle and the lateral ventricle respectively. Cystic-solid masses mainly with cystic changes were noted in these 7 patients, lesions in the vermis of cerebellum and its surrounding areas were polycystic while lesions in the ventricles were single cystic. The cystic areas of masses showed low density on plain CT scan and slightly long T 1 and long T 2 signal on MR imaging. The imaging findings were compared with the pathological findings: the density/signal changes were corresponded to the cystoid changes, hemorrhage and calcification, as seen in the postoperative specimens; the signal changes of the cystic areas were corresponded to the mucus matrix components and old hemorrhage; the characteristics of tumor enhancement were closely related to the distribution of solid components and degrees of blood supply. Conclusion:The imaging features of RGNT may partly reflect its pathological manifestations; combined with the specific location, imaging examinations may help make a correct preoperative diagnosis.