OBJECTIVE To construct three-class （insufficient， normal， excessive） and two-class （insufficient， normal） models for predicting plasma concentration of valproic acid （VPA）， and compare the performance of these two models， with the aim of providing a reference for formulating clinical medication strategies. METHODS The clinical data of 480 patients who received VPA treatment and underwent blood concentration test at the Xi’an International Medical Center Hospital were collected from November 2022 to September 2024 （a total of 695 sets of data）. In this study， predictive models were constructed for target variables of three-class and two-class models. Feature ranking and selection were carried out using XGBoost scores. Twelve different machine learning algorithms were used for training and validation， and the performance of the models was evaluated using three indexes: accuracy， F1 score， and the area under the working characteristic curve of the subject （AUC）. RESULTS XGBoost feature importance scores revealed that in the three-class model， the importance ranking of kidney disease and electrolyte disorders was higher. However， in the two-class model， the importance ranking of these features significantly decreased， suggesting a close association with the excessive blood concentration of VPA. In the three-class model， Random Forest method performed best， with F1 score of 0.704 0 and AUC of 0.519 3 on the test set； while in the two-class model， CatBoost method performed optimally， with F1 score of 0.785 7 and AUC of 0.819 5 on the test set. CONCLUSIONS The constructed three-class model has the ability to predict excessive VPA blood concentration， but its prediction and model generalization abilities are poor； the constructed two-class model can only perform classification prediction for insufficient and normal blood concentration cases， but its model performance is stronger.

Objective: To analyze the temporal variation patterns of sickness absenteeism among primary and secondary school students in Shanghai, so as to explore models suitable for predicting peaks and intensity of absenteeism rates. Methods: The seasonal and trend decomposition using loess (STL) method was used to analyze the seasonal and long term trend changes in sickness absenteeism among primary and secondary school students from September 1 in 2010 to June 30 in 2018, in Shanghai. A hierarchical clustering method based on Dynamic Time Warping (DTW) was employed to classify absenteeism symptoms with similar temporal patterns. Based on historical data, the study constructed and evaluated different time series algorithms and machine learning models to optimize the accuracy of predicting the trend of sickness absenteeism. Results: During the research period, the average new absenteeism rate due to illness was 16.86 per 10 000 person day for every academic year, and the trend of sickness absenteeism exhibited both seasonality and a long term upward trend, reaching its highest point in the 2017 academic year (22.47 per 10 000 person day). The symptoms of absenteeism were divided into three categories: high incidence in winter and spring (respiratory symptoms, fever and general discomfort, etc.), high incidence in summer (eye symptoms, nosebleeds, etc.) and those without obvious seasonality (skin symptoms, accidental injuries, etc.).The constructed time series models effectively predicted the trend of absenteeism due to illness, although the accuracy of predicting peak intensity was relatively low. Among them, the multi layer perceptron (MLP) model performed the best, with an root mean squared error (RMSE) of 8.96 and an mean absolute error (MAE) of 4.37, reducing 36.51% and 39.02% compared to the baseline model. Conclusion Time series models and machine learning algorithms could effectively predict the trend of sickness absenteeism, and corresponding prevention and control measures can be taken for absenteeism caused by different symptoms during peak periods.

ObjectiveTo understand the infection characteristics and drug resistance of carbapenem-resistant Serratia marcescens (CRSM) in a general hospital in Shanghai, and to provide a theoretical basis for clinical anti-infective treatment and prevention of drug-resistant bacteria. MethodsClinical data on cases with CRSM infections detected in clinical specimens at a gradeⅢ level A general hospital in Shanghai from June 2022 to June 2024 were retrospectively collected, and their clinical distributions, factors of hospital-acquired infections, prognosis, and drug-resistant situation were analyzed simultaneously. ResultsA total of 38 cases with CRSM were detected from June 2022 to June 2024, and the number of CRSM strains accounted for 25.00% (38/152) of the number of SM strains. The 38 CRSM infection samples were all derived from sputum. CRSM were distributed in 9 clinical departments, and the top 3 departments having the highest percentages of CRSM among SM strains, were intensive care unit (ICU) (78.79%, 26/33), gastrointestinal surgery department (57.14%, 4/7), and thyroid hernia surgery department (50.00%, 1/2). Among the 38 patients with CRSM infections, 8 cases were identified as hospital-acquired infection, resulting in a hospital-acquired infection rate of 21.05. The mortality rate of the 38 cases of CRSM infected patients within 30 days after detection of CRSM was 23.68% (9/38). The results of multivariate logistic regression analysis showed that sequential organ failure assessment (SOFA) score ≥6.5 points (OR=15.33, P<0.001), septic shock (OR=4.85, P=0.032), and suffering from neoplastic diseases (OR=0.12, P=0.018) were the related factors for death within 30 days after the detection of CRSM in patients with CRSM infection. The results of drug sensitivity test showed that the 38 cases of CRSM exhibited 100.00% (38/38) sensitivity to trimethoprim/sulfamethoxazole, tigecycline, or ceftazidime/avibactam; demonstrated high resistance toβ-lactams except for ceftazidime (18.42%, 7/38), the latter of which was one of the third-generation of cephalosporins; showed elevated resistance to fluoroquinolones [levofloxacin (89.47%, 35/38), ciprofloxacin (94.74%, 36/38)]; maintained good tetracycline sensitivity [doxycycline (97.37%, 37/38), minocycline (76.32%, 29/38)]; and displayed high susceptibility to the aminoglycoside gentamicin (94.74%, 36/38) and elevated resistance to tobramycin (86.84%, 34/38). The detection rate of serine carbapenemase in the 38 strains of CRSM was 100.00%, while all strains tested negative for metallo-β-lactamases. ConclusionFrom June 2022 to June 2024, the detection rate of CRSM in a gradeⅢ level A general hospital in Shanghai was relatively high, especially in the ICU. CRSM has a high resistance rate to commonly used antibacterial drugs such as the first and second-generation cephalosporins, quinolones, and polypeptide antibacterial drugs. Therefore the dynamics of drug-resistant bacteria should be tracked in a timely manner to guide the rational clinical application of antibacterial drugs.

Objective:To observe the effects of acupuncture and moxibustion on ubiquitin-like containing PHD and RING finger domains 1(UHRF1)and DNA methyltransferase 1(DNMT1)in ectopic endometrium of rats with endometriosis(EMS). Methods:Forty Sprague-Dawley rats were randomly divided into a sham operation group with 10 rats and a model-building group with 30 rats according to body mass.EMS rat models were established in the model-building group and then were divided into a model group,an acupuncture and moxibustion group,and a progesterone group,with 10 rats in each group.All rats were fixed by a fixator.The sham operation group and the model group were given normal saline by gavage.The acupuncture and moxibustion group received acupuncture at Xuehai(SP10)and Sanyinjiao(SP6),moxibustion at Guanyuan(CV4),and gavage of normal saline.The progesterone group was given the mixed liquid made of dydrogesterone and normal saline by gavage.After 28 d of treatments,the three diameters(length,width,and height)of EMS rats'ectopic cysts were measured,the cyst volumes were calculated,the volumes before intervention were subtracted,and the difference values were used to evaluate the growth of ectopic cysts.UHRF1 and DNMT1 mRNA and protein levels in normal endometrium,eutopic endometrium,and ectopic endometrium were detected by real-time polymerase chain reaction and immunohistochemistry. Results:There was no significant difference in the ectopic cyst volume difference between the acupuncture and moxibustion group and the progesterone group(P>0.05),but they were smaller than that of the model group(P<0.05).The levels of UHRF1 and DNMT1 mRNA and protein in the ectopic endometrium of the model group were lower than those in the normal endometrium(P<0.05).The levels of DNMT1 mRNA and UHRF1 protein in the eutopic endometrium of the model group were lower than those in the normal endometrium(P<0.05).The levels of UHRF1 mRNA and protein and the level of DNMT1 protein in the ectopic endometrium of the acupuncture and moxibustion group were higher than those in the model group(P<0.05),and the level of UHRF1 mRNA was higher than that in the progesterone group(P<0.05).The level of DNMT1 mRNA in the eutopic endometrium of the acupuncture and moxibustion group was higher than that in the model group(P<0.05).The levels of UHRF1 and DNMT1 mRNA and protein in the acupuncture and moxibustion group were insignificantly different from those in the normal endometrium(P>0.05). Conclusion:Acupuncture and moxibustion may up-regulate the levels of UHRF1 mRNA and UHRF1 and DNMT1 proteins in the ectopic endometrium to the normal level so as to reduce the volume of ectopic cysts and cure EMS in rats.

Objective:To analyze the prevalence and related factors of depression symptom among middle-aged and older adults belonging to Zhiguo ethnic minority groups,who experienced relative isolation prior to mod-emization and bypassed the transitional period associated with feudal monarchy in Yunnan Province.Methods:Using stratified cluster sampling,a total of 1 035 individuals from Zhiguo ethnic minority groups were investigated with the 9-item Patient Health Questionnaire(PHQ-9)to measure depression symptom scores(a total score≥5 was considered indicative of depression symptom).A self-administered questionnaire was utilized to investigate 24 cova-riates across five dimensions:sociodemographic,social-interpersonal network,mental health status,physical health status,and health behaviors.Results:Among the surveyed participants,231 individuals(22.32％)exhibited depres-sion symptoms.The logistic regression analysis showed that middle-aged and elderly people belonging to Zhiguo ethnic minority groups with occupations as laborers(OR=8.73),farmers(OR=7.34),and other professions(OR=7.13),those who reported feeling stressed or anxious in the last month(OR=5.43),those suffering from one(OR=2.81)or more chronic illnesses(OR=2.14),experiencing sleep problems(OR=3.74)/debilitating(OR=1.69)/mild-moderate pain(OR=2.23,4.37),and engaging in sedentary behavior(OR=2.27)were at higher risk for depressive symptoms.The risk of depressive symptoms was lower among middle-aged and elderly people be-longing to Zhiguo ethnic minority groups with higher social support scores(OR=0.96)and meaning in life scores(OR=0.96).Conclusion:The prevalence of depressive symptoms among middle-aged and elderly individuals of Zhiguo ethnic minorities is substantial,influenced by multiple factors.

Objective:To test the validity and reliability of the Chinese version of the Cyberbullying Bystand-er Scale(CBS)in Chinese college students.Methods:Totally 722 college students were randomly divided into sample 1(n=356)and sample 2(n=366).Exploratory factor analysis was performed on sample 1,and confirma-tory factor analysis,criterion validity,and internal consistency reliability were performed on sample 2.The criterion validity was tested with the Short Form of Moral Disengagement Scale(MDS).Thirty-seven students of sample 2 were randomly selected and retested 2 week later.Results:The Chinese version of CBS contained 6 distinct factors(40 items),named passive outsider online,defender of the cybervictim online,reinforcer of the cyberbully online,passive face-to-face outsider,face to face defender of the cybervictim,face-to-face reinforcer of the cyberbully.The results of confirmatory factor analysis confirmed that the fitting index of the six-factor modelis good(x2/df=2.83,CFI=0.90,TLI=0.89,RMSEA=0.07,SRMR=0.06).The scores of passive outsider online,reinforcer of the cyberbully online,passive face-to-face outsider and face-to-face reinforcer of the cyberbully were positively correla-ted with the moral disengagement(ICC=0.11-0.28,Ps＜0.05).The internal consistency reliabilities of the scale were from 0.89 to 0.96,the retest reliabilities(ICC)of the scale were between 0.75 to 0.89.Conclusion:The Chinese version of the Cyberbullying Bystander Scale(CBS)shows good validity and reliability in Chinese college students.

Objective:To explore the Pharmacognostic identification for the famous three medicinal fruits—Chebu-lae Fructus,Terminaliae Belliricae Fructus and Phyllanthi Fructus from the Tibetan medicine,and to establish the standards of the macroscopic,microscopic identification and digital characterization for the authentication study of three medicinal fruits from the Tibetan medicine.Methods:Using the terms and research methods of botanical morphological identification and classification,the comparative identification and digital characterization of three medicinal fruits from the Tibetan medicine were carried out by optical microscope,stereo microscope,digital cam-era and digital imaging technology from the aspects of front,side,abdomen,basic,surface appearance,cross sec-tion and longitudinal section characteristics,as well as the microscopic characteristics of cross section and powder.Then,the related characteristics were compared.Results:The macroscopic identification characters,such as the appearance,and microscopic identification characters,such as the epidermal cells,fiber,stone cells,calcium ox-alate cluster crystals,of three medicinal fruits from the Tibetan medicine were clarified,and the identification methods were summarized,in order to provide reference for the identification of three medicinal fruits from the Ti-betan medicine.Conclusion:The identification method is simple,environmental friendly,accurate and reliable,and can be used for the identification basis of four medicinal fruits from three medicinal fruits from the Tibetan medicine.

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.

From October 2021 to February 2023, we retrospectively analyzed the clinical and laboratory data of six patients (three male and three female, median age: 54 years, age range: 29-73 years) with mast cell leukemia (MCL) diagnosed in the First Affiliated Hospital of Soochow University (The Mastocytosis Collaborative Network of China). All patients had acute MCL, with at least one C-finding present. The main clinical presentations were hypoalbuminemia ( n=4), fatigue ( n=3), fever ( n=2), abdominal discomfort ( n=2), osteolytic lesions ( n=2), dizziness ( n=1), skin flushing ( n=1), and weight loss ( n=1). Splenomegaly and lymphadenopathy were noted in six and three patients, respectively. Six patients were strongly positive for CD117, five were positive for CD30 and CD25, and four were positive for CD2. Four patients had a normal karyotype and two patients had an abnormal karyotype. Gene mutations were detected in 4/6 cases. The median serum tryptase level was 24.9 (range: 20.1-171.9) μg/L. Two patients were treated with venetoclax and azacitidine for induction (one patient achieved partial remission by combination with afatinib, while there was no remission after combination with dasatinib in the other patient). Two patients did not achieve complete remission despite treatment with cladribine and imatinib, respectively. One patient treated with interferon combined with glucocorticoids was lost to follow-up, and one patient abandoned treatment. The follow-up time ranged from 1.1 to 21.7 months. Three patients died and two survived. Overall, MCL is a rare subtype of systemic mastocytosis with heterogeneous clinical course, and these patients have poor outcome. A better understanding of the clinical characteristics, treatment, and prognosis of MCL is urgently needed.

Objective By population survey,to explore the epidemiological characteristics of gastric precancerous lesions in Lishui District of Nanjing and provide objective basis for the prevention and treatment of early gastric cancer.Methods From July 2021 to December 2022,21 977 patients who received endoscopy and/or 13C-UBT in Lishui District People's Hospital and 6 medical community units in Nanjing City were retrospectively analyzed for demography characteristics,detection rate of gastric precancerous lesions,and H.Pylori infection rate.Results(1)590 cases of gastric precancerous lesions were detected(detection rate 2.68%);(2)The total detection rate of precancerous lesions and three pathological types in males were all higher than those in females(all P<0.001);(3)The minimum age for the total detection rate of precancerous lesions in males and the mini-mum age for each pathological type were lower than in females(P<0.001,0.009,0.005,0.002);(4)The popu-lation total H.pylori infection rate was 23.10%,the H.pylori infection rate in patients with precancerous lesions was higher than that in non-precancerous lesions(P<0.001),both H.pylori infection rate of male and female in precancerous lesions were all higher than those of non-precancerous lesions of the same sex(all P<0.001),in addition,the H.pylori infection rate of male whether in precancerous or non-precancerous lesions was higher than that of female(all P<0.001);(5)The precancerous lesions detection rate in male,female,and the overall age range of 20～29 to 70～79 years is positively correlated with age growth(P<0.001),and rapidly decreases after the age of 79,the of H.pylori infection rate was also positively correlated with age growth(P<0.001),and the trend of age change(P<0.001)was parallel to the precancerous lesions detection rate.Conclusions The detec-tion rate of gastric precancerous lesions in this region is above the average level in China;the total H.pylori infec-tion rate is at a relatively low level in China;the H.pylori infection rate is parallel to the age trend of the detection rate of gastric precancerous lesions,and increases with age.