Objective To explore the factors affecting the quality of psychological assistance hotline connections in Shaanxi Province, and to provide a basis for optimizing services. Methods A total of 149 calls with suicidal tendencies were included from January to March 2022, and data were collected by 31 trained assessors through standardized questionnaires (general information, suicide risk, emotional intensity, and wiring characteristics). Results The results showed that 56.38% of the callers were female, with age groups concentrated between ≤ 18 years old (29.53%) and 19-34 years old (43.62%). The call duration was mainly between 31 and 45 minutes (50.34%). Operators conducted a suicide risk assessment on the callers, with 38.9% having a comprehensive assessment, 38.9% having an incomplete assessment, and 22.1% having no assessment. The main mental disorders of the callers were depression (48.32%), anxiety (15.44%), and bipolar disorder (14.77%), with 25.50% having comorbidities of ≥ 2 disorders. Emotional scores were as follows: depression (4.11 ± 0.76), sadness (3.97 ± 1.03), and despair (3.78 ± 1.05). There were significant differences in depression, anger, despair, and sadness among the callers with different levels of danger (t=4.79, 3.35, 15.79, 4.24, all P<0.05). Women had higher levels of fear than men (t=3.10, P<0.01). The longer the call duration, the higher the level of despair (t=5.66, P<0.01). Multiple regression analysis showed that incomplete suicide risk assessment by operators (B=-2.36), general procedures for operators' connections (B=5.44), and technical factors (B=2.01) significantly affected the quality of psychological assistance hotlines (all P<0.05). Conclusion Callers with suicidal tendencies generally have serious mental and psychological problems and prominent negative emotions. Strengthening the suicide risk assessment ability of operators and standardizing processes and service attitudes are key to improving the quality of psychological assistance hotlines.

Objective:This study aimed to evaluate the value of CT-based radiomics machine learning models in predicting spread through air spaces(STAS)in lung adenocarcinoma(LUAD)and to determine the optimal peritumoral analysis region.Methods:Data from 378 pa-tients who underwent non-small cell lung cancer surgery at Zhejiang Cancer Hospital between January 2013 to January 2017 were retro-spectively analyzed.Logistic regression,random forest,and XGBoost models were constructed using regions extending 0,3,6,9,and 12 mm outward from the tumor margin.Results:The XGBoost model using the 6 mm peritumoral region performed best on the test set,with an AUC-ROC of 0.855(95%CI:0.756-0.950),followed by the XGBoost model using the 9 mm region.Decision curve analysis(DCA)indicated that the XGBoost models for the 6 mm and 9 mm regions had higher net clinical benefits.Feature analysis revealed that some wavelet trans-form features significantly contributed to STAS prediction.Conclusions:This preliminary study suggests that CT-based radiomics machine learning models have predictive value for STAS.The XGBoost model based on the 6 mm peritumoral region demonstrated the best perform-ance,and holds promise in assisting preoperative assessment.

Objective:To analyze the effect of altitude on NIH-CPSI score in patients with chronic prostatitis/chronic pelvic pain syndrome(CP/CPPS)Methods:Clinical data and the results of NIH-CPSI Questionnaire of the 321 patients with CP/CPPS at different altitudes were collected from March 2021 to March 2022.And the influence of altitudes on NIH-CPSI score of CP/CPPS was analyzed.Result:The NIH-CPSI score of patients living at an altitude of 4 300 m was significantly higher than that of patients living at an altitude of 1 500 m and 2 200 m.The CP/CPPS patients who lived in the higher altitude had more severe symptoms of pain and urination as well as lower scores of life quality(P＜0.05).Conclusion:NIH-CPSI score increased significantly with higher alti-tude,indicating more severe symptoms and decreased quality of life in CP/CPPS patients.These findings highlight the need for man-agement strategies for specific heights in patients with CP/CPPS.

Objective:This study aimed to evaluate the value of CT-based radiomics machine learning models in predicting spread through air spaces(STAS)in lung adenocarcinoma(LUAD)and to determine the optimal peritumoral analysis region.Methods:Data from 378 pa-tients who underwent non-small cell lung cancer surgery at Zhejiang Cancer Hospital between January 2013 to January 2017 were retro-spectively analyzed.Logistic regression,random forest,and XGBoost models were constructed using regions extending 0,3,6,9,and 12 mm outward from the tumor margin.Results:The XGBoost model using the 6 mm peritumoral region performed best on the test set,with an AUC-ROC of 0.855(95%CI:0.756-0.950),followed by the XGBoost model using the 9 mm region.Decision curve analysis(DCA)indicated that the XGBoost models for the 6 mm and 9 mm regions had higher net clinical benefits.Feature analysis revealed that some wavelet trans-form features significantly contributed to STAS prediction.Conclusions:This preliminary study suggests that CT-based radiomics machine learning models have predictive value for STAS.The XGBoost model based on the 6 mm peritumoral region demonstrated the best perform-ance,and holds promise in assisting preoperative assessment.

Objective:To investigate the clinical characteristics and prognosis of single center adult chronic myeloid leukemia in chronic phase(CML-CP).Methods:Clinical data of 41 adult CML-CP patients in Department of Hematology,Shanghai Fengxian District Central Hospital from January 2015 to May 2021 were retrospectively analyzed.The clinical characteristics and prognosis of patients between＜60 years group and ≥ 60 years group were compared.Results:The 41 patients included 27(65.9％)males and 14(34.1％)females.The median age of the patients was 56(19-84)years,with 22 cases(53.7％)＜60 years and 19 cases(46.3％)≥60 years.Univariate analysis indicated that the proportions of patients with comorbidities,intermediate/high-risk Sokal score,myelofibrosis,and lactate dehydrogenase ≥1 000 U/L were significantly increased in ≥60 years group compared with＜60 years group at initial diagnosis(all P＜0.05).There were no statistical differences in the distribution of sex,ELST score,white blood cell count,platelet count,peripheral blood basophil percentage,peripheral blood eosinophil percentage and bone marrow primitive cell percentage between the two groups(P＞0.05).The proportion of patients taking reduced-dose imatinib in≥60 years group significantly increased(P＜0.001).Patients＜60 years had a higher proportion of molecular biological remission after treatment of tyrosine kinase inhibitors(TKIs)than patients ≥ 60 years(P＜0.001).The incidence of non-hematologic adverse reactions to TKI therapy significantly increased in patients ≥ 60 years(P＜0.001).Multivariate analysis showed that no adverse factors affecting the efficacy and prognosis of TKI.Conclusion:Compared with adult CML-CP patients＜60 years,patients ≥ 60 years gain fewer benefits from TKI treatment and increased adverse reactions.

Objective To investigate the differences in clinical characteristics among children on prolonged mechanical ventilation(PMV)due to different primary diseases.Methods A retrospective analysis was performed on the clinical data of 59 pediatric patients requiring PMV from July 2017 to September 2022.According to the primary disease,they were divided into respiratory disease(RD)group,central nervous system(CNS)group,neuromuscular disease(NMD)group,and other disease group.The four groups were compared in terms of general information,treatment,and outcome.Results There were significant differences among the four groups in age,body weight,Pediatric Logistic Organ Dysfunction-2(PELOD-2)score,Pediatric Risk of Mortality Ⅲ(PRISM Ⅲ)score,analgesic and sedative treatment,nutrition supply,rehabilitation treatment,tracheotomy,successful ventilator weaning,and outcomes(P＜0.05).Compared with the RD group,the CNS group and the other disease group had a significantly higher age and a significantly higher proportion of children receiving rehabilitation treatment,and the CNS group had a significantly higher proportion of children receiving tracheotomy(P＜0.008).Compared with the other disease group,the CNS group and the NMD group had significantly lower PELOD-2 and PRISM Ⅲ scores,and the CNS group had a significantly higher proportion of children with successful ventilator weaning and a significantly higher proportion of children who were improved and discharged(P＜0.008).Conclusions There are differences in clinical characteristics among children receiving PMV due to different etiologies.Most children in the RD group have a younger age,and children in the CNS group have a relatively good prognosis.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

AIM To establish a UPLC-MS/MS method for the simultaneous content determination of gallic acid,protocatechuic acid,neomangiferin,catechin,caffeic acid,mangiferin,isomangiferin,albiflorin,paeoniflorin,vitexin,liquiritin,scutellarin,baicalin,liquiritigenin,timosaponin BⅡ,quercetin,wogonoside,benzoylpaeoniflorin,isoliquiritigenin,honokiol,magnolol,norarecaidine,arecaidine,arecoline,epicatechin,baicalein,glycyrrhizinate and wogonin in Dayuan Drink.METHODS The analysis was performed on a 35℃thermostatic Syncronis C18 column(100 mm×2.1 mm,1.7 μm),with the mobile phase comprising of 0.1%formic acid-acetonitrile flowing at 0.3 mL/min in a gradient elution manner,and electron spray inoization source was adopted in positive and negative ion scanning with select reaction monitoring mode.RESULTS Twenty-eight constituents showed good linear relationships within their own ranges(R2≥0.991 0),whose average recoveries were 95.60%-103.53%with the RSDs of 0.60%-5.45%.CONCLUSION This rapid,simple,selective,accurate and reliable method can be used for the quality control of Dayuan Drink.

We prepared 15 batches of Kaixin Powder benchmark samples with the decoction pieces of different batches. Further, we established the specific chromatograms and index component content determination method of Kaixin Powder benchmark samples and analyzed the peaks and similarity of the chromatograms. With sibiricose A5, sibiricose A6, polygalaxanthone Ⅲ, 3,6'-disinapoyl sucrose, ginsenoside Rb_1, β-asarone, α-asarone, and dehydropachymic acid as index components, the index component content determination method was established and 70%-130% of the mean content of each component was set as the range. The chromatograms of 15 batches of Kaixin Powder benchmark samples had a total of 22 characteristic peaks, among which 8 peaks were identified, which represented sibiricose A5, sibiricose A6, polygalaxanthone Ⅲ, 3,6'-disinapoyl sucrose, ginsenoside Rb_1, β-asarone, α-asarone, and dehydropachymic acid, respectively. The chromatograms shared the similarity of 0.992-0.999. The 15 batches of benchmark samples had sibiricose A5 of 0.34-0.55 mg·g~(-1), sibiricose A6 of 0.43-0.57 mg·g~(-1), polygalaxanthone Ⅲ of 0.12-0.19 mg·g~(-1), 3,6'-disinapoyl sucrose of 1.08-1.78 mg·g~(-1), ginsenoside Rb_1 of 0.33-0.62 mg·g~(-1), β-asarone of 2.34-3.72 mg·g~(-1), α-asarone of 0.11-0.22 mg·g~(-1), and dehydropachymic acid of 0.053-0.079 mg·g~(-1). This study established the specific chromatograms and index component content determination method of Kaixin Powder benchmark samples, and the method was simple, feasible, reproducible, and stable. This study provides a scientific basis for further research on the key chemical properties of the benchmark samples and preparations of Kaixin Powder.
Powders ; Ginsenosides ; Benchmarking ; Drugs, Chinese Herbal/chemistry* ; Sucrose ; Chromatography, High Pressure Liquid/methods*

Anthocyanidin reductase (ANR) is one of the key enzyme in the flavonoid biosynthetic pathway, and its catalytic activity is important for the synthesis of plant anthocyanin. In this study, specific primers were designed according to the transcriptome data of Lonicera japonica Thunb., and the CDS, gDNA and promoter sequences of ANR genes from Lonicera japonica Thunb. and Lonicera japonica Thunb. var. chinensis (Wats.) Bak. were cloned. The results showed that the CDS sequences of LjANR and rLjANR were 1 002 bp, the gDNA sequences were 2 017 and 2 026 bp respectively, and the promoter sequences were 1 170 and 1 164 bp respectively. LjANR and rLjANR both contain 6 exons and 5 introns, which have the same length of exons and large differences in introns. The promoter sequences both contain a large number of light response, hormone response and abiotic stress response elements. Bioinformatics analysis showed that both LjANR and rLjANR encoded 333 amino acids and were predicted to be stable hydrophobic proteins without transmembrane segments and signal peptides. The secondary structures of LjANR and rLjANR were predicted to be mainly consisted of α-helix and random coil. Sequence alignment and phylogenetic analysis showed that LjANR and rLjANR had high homology with Actinidia chinensis var. chinensis, Camellia sinensis and Camellia oleifera, and were closely related to them. The expression levels of LjANR and rLjANR were the highest in flower buds and the lowest in roots. The expression patterns at different flowering stages were similar, with higher expression levels in S1 and S2 stages and then gradually decreased until reaching the lowest level in S4 stage, after a slow increase in S5 stage, the expression levels decreased again. The expression levels of ANR genes in the two varieties showed significant differences in roots, S2 and S5 stages, while the differences in stems, flower buds, S1, S3 and S6 stages were extremely significant. The prokaryotic expression vector pET-32a-LjANR was constructed for protein expression. The target protein was successfully expressed of about 59 kD. This study lays a foundation for further study on the function of ANR gene and provides theoretical guidance for breeding new varieties of Lonicera japonica Thunb.