ObjectiveTo understand the epidemiological distribution and gene evolutionary variation of influenza A (H3N2) viruses in Fengxian District, Shanghai, in the surveillance year of 2023, and to provide a reference basis for influenza prevention and control. MethodsThe prevalence of influenza virus in Fengxian District in the 2023 influenza surveillance year (April 2023‒March 2024) was analyzed. The hemagglutinin (HA) gene, neuraminidase (NA) gene, and amino acid sequences of 75 strains of H3N2 influenza viruses were compared with the vaccine reference strain for similarity matching and phylogenetic evolutionary analysis, in addition to an analysis of gene characterization and variation. ResultsIn Fengxian District, there was a mixed epidemic of H3N2 and H1N1 in the spring of 2023, with H3N2 being the predominant subtype in the second half of the year, and Victoria B becoming the predominant subtype in the spring of 2024. A total of 75 influenza strains of H3N2 with HA and NA genes were distributed in the 3C.2a1b.2a.2a.2a.3a.1 and B.4 branches, with overall similarity to the reference strain of the 2024 vaccine higher than that of the reference strain of the 2022 and 2023 vaccine. Compared with the 2023 vaccine reference strain, three antigenic sites and one receptor binding site were changed in HA, with three glycosylation sites reduced and two glycosylation sites added; where as in NA seven antigenic sites and the 222nd resistance site changed with two glycosylation sites reduced. ConclusionThe risk of antigenic variation and drug resistance of H3N2 in this region is high, and it is necessary to strengthen the publicity and education on the 2024 influenza vaccine and long-term monitoring of influenza virus prevalence and variation levels.

Objective To explore the potential prognostic factors of patients with acute ischemic stroke(AIS)after undergoing endovascular mechanical thrombectomy and to construct an effective predictive model.Methods A retrospective analysis of clinical data was conducted on 202 patients with anterior circulation large vessel occlusion AIS from 2 stroke centers.All patients received endovascular mechanical thrombectomy treatment,with treatment and follow-up lasting at least 90 d.Basic demographic characteristics,medical records,and baseline blood biomarker data were collected,and the potential prognostic indicators for AIS after 90 d were screened using least absolute shrinkage and selection operator(LASSO)-logistic regression analysis.Results It was found that alcohol drinking(P=0.029),hypertension(P=0.001),diabetes mellitus(P=0.021),stroke or transient ischemic attack(P=0.049),systolic blood pressure on admission(P=0.009),diastolic blood pressure on admission(P=0.038),blood glucose(P=0.003),white blood cell count(P=0.001),neutrophil count(P=0.001),fibrinogen(P=0.010),systemic immune-inflammation index(P=0.008)and neutrophil-to-lymphocyte ratio(NLR)(P＜0.001)were associated with adverse clinical outcomes.Nine significant prognostic determinants were screened through LASSO-logistic regression analysis.Multivariate logistic regression analysis revealed that male sex(P=0.008),smoking history(P=0.013),hypertension(P=0.011),lymphocyte(P=0.028),fibrinogen(P=0.016),and NLR(P＜0.001)were significant predictive factors for poor prognosis in AIS patients after endovascular thrombectomy treatment.The constructed prognostic model had an accuracy of 76.2％,a sensitivity of 78.2％,a specificity of 71.7％,and a positive predictive value of 86.7％.Conclusion The predictive model established in this study can assist clinicians in identifying high-risk patients with AIS who have undergone endovascular thrombectomy,and it provide guidance for formulating individualized treatment strategies.

With reference to the Information and Documentation-Resource Description (GB/T 3792-2021) and Bibliographical Description for Ancient Chinese Books (GB/T 3792.7-2008) and other cataloging standards and rules, drawing on the practical experience of cataloging ancient TCM books, Bibliographical Cataloging for Ancient TCM Books was formulated. This standard specifies the entry items and their order of ancient TCM books, cataloging identifier, cataloging text, cataloging information source, and cataloging item details. The standard can provide standardized and unified guiding principles and methods for the work of ancient TCM books, and promote the sharing and utilization of ancient TCM books.

In the context of an aging society,the number of elderly cancer patients is constantly increasing,and geriatric oncology has garnered significant attention in recent years.Given the heterogeneity in the health status of older patients,it has become increasingly important to provide individualized diagnosis,treatment,follow-up,and care.Thus,it must be emphasized the Comprehensive Geriatric Assessment(CGA)for elderly patients,which encompasses their physical function,nutritional status,cognitive function,emotional state,comorbidities,polypharmacy,social situation,and treatment preferences.This article provides consensus recommendations on CGA tools for elderly patients prior to anticancer treatment,offering valuable references and insights for clinical practice in China.

ObjectiveTo analyze the surveillance status of acute respiratory tract infection pathogens in Fengxian District of Shanghai, and to determine the pathogen spectrum and epidemiological characteristics of acute respiratory tract infection in the district. MethodsCase surveillance data from Fengxian Central Hospital were collected through the Shanghai Integrated Surveillance System for Acute Respiratory Infections, and respiratory specimens were collected from the 50^th week of 2022 to the 49^th week of 2023 for nucleic acid detection of 25 pathogens and bacterial culture testing. Case surveillance data from Fengxian Central Hospital were collected through the National Influenza Sentinel Surveillance System, and respiratory specimens were collected for nucleic acid detection of 5 pathogens. ResultsThe percentage seeking for medical visits of influenza-like illness (ILI) and severe acute respiratory infection (SARI) were 4.74% and 0.81%, respectively, with epidemic peaks in winter and spring. A total of 1 610 samples were detected, among which 354 were SARI cases, whose age of P₂₅ and P₇₅ quartiles were 44 years and 71 years, respectively, with a positive detection rate of 48.31%. Among the 1 256 ILI cases, the age of P₂₅ and P₇₅ quartiles were 21 years and 39 years, respectively. The positive detection rate of pathogens was 65.04% in 123 ILI cases under comprehensive surveillance of respiratory tract infection and 66.11% in 1 133 ILI cases under influenza surveillance. The positive rates of influenza andSARS-CoV-2 in SARI samples were 12.99% and 29.66%, respectively. The positive rates of influenza and SARS-CoV-2 in ILI case samples were 33.20% and 31.53%, respectively. Influenza virus concentrated in the winter and spring. The ILI and SARI cases had the highest positivity rates in the 6‒14 years old group and 15‒24 years old group, respectively. ConclusionThe main pathogens of respiratory tract infection in Fengxian District of Shanghai were SARS-CoV-2 and influenza virus. Special efforts should be made to monitor respiratory disease pathogens in the population under 24 years old, and surveillance of SARI cases aged ≥60 years should be strengthened. The influenza virus and SARS-CoV-2 are alternating, which is different from the past and requires a change in the previous prevention and control strategies.

Objective:To study the current status of longitudinal extrauterine growth restriction (EUGR) in extremely preterm infants (EPIs) and to develop a prediction model based on clinical data from multiple NICUs.Methods:From January 2017 to December 2018, EPIs admitted to 32 NICUs in North China were retrospectively studied. Their general conditions, nutritional support, complications during hospitalization and weight changes were reviewed. Weight loss between birth and discharge > 1SD was defined as longitudinal EUGR. The EPIs were assigned into longitudinal EUGR group and non-EUGR group and their nutritional support and weight changes were compared. The EPIs were randomly assigned into the training dataset and the validation dataset with a ratio of 7∶3. Univariate Cox regression analysis and multiple regression analysis were used in the training dataset to select the independent predictive factors. The best-fitting Nomogram model predicting longitudinal EUGR was established based on Akaike Information Criterion. The model was evaluated for discrimination efficacy, calibration and clinical decision curve analysis.Results:A total of 436 EPIs were included in this study, with a mean gestational age of (26.9±0.9) weeks and a birth weight of (989±171) g. The incidence of longitudinal EUGR was 82.3%(359/436). Seven variables (birth weight Z-score, weight loss, weight growth velocity, the proportion of breast milk ≥75% within 3 d before discharge, invasive mechanical ventilation ≥7 d, maternal antenatal corticosteroids use and bronchopulmonary dysplasia) were selected to establish the prediction model. The area under the receiver operating characteristic curve of the training dataset and the validation dataset were 0.870 (95% CI 0.820-0.920) and 0.879 (95% CI 0.815-0.942), suggesting good discrimination efficacy. The calibration curve indicated a good fit of the model ( P>0.05). The decision curve analysis showed positive net benefits at all thresholds. Conclusions:Currently, EPIs have a high incidence of longitudinal EUGR. The prediction model is helpful for early identification and intervention for EPIs with higher risks of longitudinal EUGR. It is necessary to expand the sample size and conduct prospective studies to optimize and validate the prediction model in the future.

Objective:To analyze the performance characteristics of the energy output of defibrillation device at different lifecycle stages of the equipment,and to improve the level of management,so as to ensure the safety and effectiveness of using the device.Methods:A total of 90 defibrillation devices of using 10 types included 861290 and CardioServ(included scrapped devices)during the period of 2015-2022 were retrospectively analyzed.The detected data of energy output of defibrillation device were analyzed as statistical method,and the error of releasing energy was calculated.A total of 36 defibrillation devices that were in the early stages of use(at the first three years of device use)were divided into the first year,the second year and the third year,and the data of energy outputs of devices among three years were compared.The data of the type A and type B defibrillation devices,which were the largest number of devices in the normal stage of use(the middle stage of use),were calibrated according to the energy release in the three years between 2018 and 2000.The difference of releasing energy at the preseted value of 100J between the two types of devices was analyzed.Finally,the errors of energy releases of 8 devices,which energy outputs exceeded the deadline,in the scrap period between 2015 and 2022 were summarized.Results:In the data of three groups of devices in the early stages of use,the differences at the first and second year of device use among 100J,150J and 200J of the energy releases of the preseted values were significant(t=-0.17,-0.17,-0.58,P>0.05).The difference of the measured values between the first and third years of device use was not significant(Z=-0.70,-0.38,-0.86,P>0.05).The results of variance analysis of repeated measurement of the energy releases of the devices in normal stage indicated that the difference of the energy release at 100J preseted point among different types of 41 devices was significant(F=4.40,P<0.05).The energy release of type X defibrillator appeared constantly high,and the relative error increased with the increasing of preseted values.The repeatability of the device was better,and the relationship between preseted energy(x)and release energy(y)conformed to linear relationship(R2=0.9985).In these defibrillation devices that were using,the qualified rate of energy output of>100J preseted point was 97.68%.Conclusion:There is slight difference in the mean value of energy release between different type of defibrillation devices within the qualified range,and the energy release still is a performance indicator that should be highly focused for defibrillation devices.We should combine with the maintenance and repair data of device to conduct in-depth analysis,so as to grasp the operating status of the device,and optimize the strategy of quality control,and ensure the safety of defibrillator in clinical use.

Objective:To investigate the diagnostic value of non-high-density lipoprotein cholesterol (non-HDL-C),ratio of triglyceride to high-density lipoprotein cholesterol (TG/HDL-C), and triglyceride glucose index (TyG) on metabolic syndrome (MS) in adult women.Methods:This was a cross-sectional study. A total of 24 410 adult women who received health examination in health management center of the Affiliated Hospital of Southwest Medical University were selected from January 2019 to December 2021 as subjects. The subjects′ basic information, physical examination results, and laboratory examination data were collected retrospectively. The relationship between non-HDL-C, TG/HDL-C, TyG, and MS in adult women were examined using multivariate logistic regression analysis. The receiver operating characteristic (ROC) curves were constructed and the area under the curve (AUC) were calculated to evaluate the diagnostic value of each indicator for MS in adult women.Results:Among 24 410 adult females, 800 (3.3%) were found to have MS. After adjusting for age, body mass index, waist circumference, hip circumference, systolic blood pressure, diastolic blood pressure, blood uric acid, history of hypertension, history of diabetes, fatty liver, non HDL-C ( OR=1.608), TG/HDL-C ( OR=1.311), TyG ( OR=13.288) were all risk factors for MS in adult women. non-HDL-C, TG/HDL-C, and TyG, as well as their combined AUC of ROC, were 0.795 (95% CI: 0.742-0.776), 0.909 (95% CI: 0.902-0.917), 0.942 (95% CI: 0.937-0.948), and 0.944 (95% CI: 0.937-0.950), respectively. TyG had the highest diagnostic value for MS in adult women among the three indicators, the optimal cutoff value for TyG was 8.237, with a sensitivity of 93.5% and a specificity of 85.5%. Conclusion:non-HDL-C, TG/HDL-C, TyG, as well as their combination, all demonstrate good diagnostic value for MS in adult women.

Purpose To investigate the value of MYB and Notch1 immunohistochemical staining in the differential diagno-sis of classic adenoid cystic carcinoma of the breast(C-AdCC)and solid-basaloid adenoid cystic carcinoma of the breast(SB-AdCC).Methods MYB and Notch1 immunohistochemical staining were performed in 20 cases of C-AdCC,6 cases of SB-AdCC and 65 cases of other breast lesions in the archives of pa-thology department.26 cases of AdCC were detected by FISH,and 6 cases of SB-AdCC were detected by NGS.Results MYB immunohistochemical staining showed that C-AdCC(20/20)was moderately or strongly positive,while SB-AdCC(4/6)was mod-erately or strongly positive.Collagenous spherulosis(5/5)showed focal or diffuse weak positivity;Malignant adenomyoepi-thelioma(3/3)was focally moderately or strongly positive;8 matrix-producing carcinomas and 9 secretory carcinomas and 40 non-specific triple-negative breast cancers were negative.Immu-nohistochemistry of Notch1 showed diffuse moderate positive for SB-AdCC(3/6)and negative for C-AdCC(20/20).3 cases of malignant adenomyoepithelioma,5 cases of collagenous spherulo-sis,8 cases of matrix-producing carcinoma,9 cases of secretory carcinoma and 40 cases of non-specific triple-negative breast cancer were negative.FISH showed MYB gene disruption in C-AdCC(12/19)and NGS showed SB-AdCC(3/6)Notch1 muta-tion.Conclusion Moderately or strongly diffuse expression of MYB and Notch1 by immunohistochemistry can assist in the dif-ferentiation of C-AdCC from SB-AdCC,and it can be further clarified by molecular detection when it is difficult to distinguish malignant adenomyoepithelioma.

Objective:To explore potential predictors of refractory Mycoplasma pneumoniae pneumonia (RMPP) in early stage. Methods:The prospective multicenter study was conducted in Zhejiang, China from May 1 st, 2019 to January 31 st, 2020. A total of 1 428 patients with fever >48 hours to <120 hours were studied. Their clinical data and oral pharyngeal swab samples were collected; Mycoplasma pneumoniae DNA in pharyngeal swab specimens was detected. Patients with positive Mycoplasma pneumoniae DNA results underwent a series of tests, including chest X-ray, complete blood count, C-reactive protein, lactate dehydrogenase (LDH), and procalcitonin. According to the occurrence of RMPP, the patients were divided into two groups, RMPP group and general Mycoplasma pneumoniae pneumonia (GMPP) group. Measurement data between the 2 groups were compared using Mann-Whitney U test. Logistic regression analyses were used to examine the associations between clinical data and RMPP. Receiver operating characteristic (ROC) curves were used to analyse the power of the markers for predicting RMPP. Results:A total of 1 428 patients finished the study, with 801 boys and 627 girls, aged 4.3 (2.7, 6.3) years. Mycoplasma pneumoniae DNA was positive in 534 cases (37.4%), of whom 446 cases (83.5%) were diagnosed with Mycoplasma pneumoniae pneumonia, including 251 boys and 195 girls, aged 5.2 (3.3, 6.9) years. Macrolides-resistant variation was positive in 410 cases (91.9%). Fifty-five cases were with RMPP, 391 cases with GMPP. The peak body temperature before the first visit and LDH levels in RMPP patients were higher than that in GMPP patients (39.6 (39.1, 40.0) vs. 39.2 (38.9, 39.7) ℃, 333 (279, 392) vs. 311 (259, 359) U/L, both P<0.05). Logistic regression showed the prediction probability π=exp (-29.7+0.667×Peak body temperature (℃)+0.004×LDH (U/L))/(1+exp (-29.7+0.667×Peak body temperature (℃)+0.004 × LDH (U/L))), the cut-off value to predict RMPP was 0.12, with a consensus of probability forecast of 0.89, sensitivity of 0.89, and specificity of 0.67; and the area under ROC curve was 0.682 (95% CI 0.593-0.771, P<0.01). Conclusion:In MPP patients with fever over 48 to <120 hours, a prediction probability π of RMPP can be calculated based on the peak body temperature and LDH level before the first visit, which can facilitate early identification of RMPP.