ObjectiveTo investigate the current status and related factors of maternal influenza vaccination willingness among pregnant and postpartum women in Shanghai and Liaoning Province, China, and to explore the facilitators and barriers affecting vaccination uptake, so as to provide references for future practices in promoting maternal influenza immunization in China. MethodsA convergent mixed-methods research was conducted. From January to March 2024, a questionnaire survey was conducted among women attending prenatal and postnatal care at 7 medical institutions in Shanghai and Dalian, Liaoning Province, which aimed to assess pregnant women’s knowledge about influenza vaccine and their willingness to vaccination during pregnancy, as well as to identify the related factors. In addition, purposive sampling method was used to conduct in-depth interviews with pregnant women and perinatal healthcare service providers to explore their perspectives on influenza vaccination during pregnancy, including the reasons for their willingness or unwillingness to receive ( or recommend) the vaccine, and the relevant facilitators and barriers to vaccination. ResultsA total of 366 pregnant and postpartum women participated in the questionnaire survey, and 9.56% (35/366) of them were willing to receive the influenza vaccine during pregnancy. The results of multivariate logistic stepwise regression analyses showed that primipara (aOR=0.158, 95%CI: 0.037‒0.671, P=0.012), family members’ support for influenza vaccination during pregnancy (aOR=0.015, 95%CI: 0.003‒0.082, P<0.001) were associated with higher willingness to receive influenza vaccine during pregnancy. Absence of influenza infection during pregnancy (aOR=5.383, 95%CI: 1.801‒16.092, P<0.001), and lack of knowledge regarding influenza vaccination during pregnancy (aOR=11.294, 95%CI: 3.593‒35.496, P<0.01) were associated with lower willingness to receive influenza vaccine during pregnancy. Qualitative findings indicated that the facilitators to vaccination willingness among pregnant and postpartum women included the recommendation of healthcare service providers, adequate knowledge of influenza vaccine information and family members’ support for vaccination. Conversely, the barriers to vaccination willingness included low recommendation from the healthcare service providers, lack of knowledge about the safety of influenza vaccine during pregnancy and inadequate attention to influenza and influenza vaccine. ConclusionThe willingness to receive influenza vaccination among pregnant and postpartum women in Shanghai and Liaoning Province is relatively low. It is recommended that China should promptly improve the evidence-based system for the safety and efficacy of influenza vaccines for pregnant and postpartum women, along with an establishment of the mechanism for addressing adverse reactions. Furthermore, it is essential to enhance educational outreach to pregnant and postpartum women, their families, and healthcare service providers, thereby increasing the accessibility of information regarding influenza vaccination, which are expected to enhance the willingness of pregnant and postpartum women to receive the vaccine.

Objective To investigate the value of serum thymidine kinase 1(TK1),hypoxia-inducible fac-tor-1α(HIF-1α)and squamous cell carcinoma antigen(SCC)in the diagnosis and prognosis of esophageal cancer.Methods A total of 105 patients with esophageal cancer treated in the Qinhuai Medical Zone of East-ern Theater General Hospital from February 2019 to October 2021 were selected as the study group,and 80 healthy subjects were selected as the control group during the same period.The serum levels of TK1,HIF-1αand SCC were compared between study group,control group and patients with different pathological charac-teristics.Patients with esophageal cancer were followed up for 3 years,and the overall survival(OS)and pro-gression-free survival(PFS)were recorded.Receiver operating characteristic curve was used to analyze the di-agnostic efficiency of serum TK1,HIF-1α and SCC combined detection for esophageal cancer,Pearson correla-tion analysis was used to analyze the correlation between the serum indicators,and Kaplan-Meier survival a-nalysis was used to analyze the OS and PFS of patients with different serum levels of TK1,HIF-1α and SCC.Multivariate COX regression was performed to analyze prognostic factors.Results Compared with the control group,the serum TK1,HIF-1α and SCC levels in the study group increased(P＜0.05).The area under the curve(AUC)of serum TK1,HIF-1α,SCC alone and combined for diagnosis of esophageal cancer were 0.893,0.744,0.841,0.922,respectively,and their combined diagnoses of esophageal cancer had the largest AUC.Se-rum TK1,HIF-1α and SCC in patients with different TNM stages and differentiation stages were significantly different(P＜0.05).Serum TK1,HIF-1α and SCC in patients with lymph node metastasis were higher than those without lymph node metastasis(P＜0.05).Serum TK1 was positively correlated with HIF-1α and SCC levels in patients with esophageal cancer(P＜0.05).The survival functions of OS and PFS in TK1,HIF-1αand SCC low expression group were better than those in high expression group(P＜0.05).Multivariate COX regression analysis showed that low differentiation and lymph node metastasis were independent risk factors for poor prognosis in esophageal cancer patients(P＜0.05).Conclusion Serum levels of TK1,HIF-1α and SCC are increased in patients with esophageal cancer,the combined diagnosis of the three is effective.The high expression of TK1 and HIF-1αand SCC will shorten OS and PFS.

Objective To explore the correlation between serum glycosylated hemoglobin(HbA1c),lym-phocyte activation gene-3(LAG-3)and thyroid nodules in patients with type 2 diabetes mellitus(T2DM).Methods A total of 120 T2DM patients with thyroid nodules admitted to the Third Hospital of Hebei Medi-cal University from July 2021 to July 2022 were included as the study group,and 100 simple T2DM patients(without thyroid nodules)were included as the control group during the same period.According to the patho-logical examination results of thyroid nodules,the study group was grouped into a benign nodule group(85 ca-ses)and a malignant nodule group(35 cases).Enzyme linked immunosorbent assay was applied to detect the serum LAG-3 level of all study subjects.Fully automated glycated hemoglobin analyzer was applied to detect HbA1c level in all study subjects.Spearman method was applied to analyze the correlation between serum HbA1c,LAG-3,and thyroid imaging report and data system(TI-RADS)scores in patients with T2DM and thyroid nodules.Multivariate Logistic regression was applied to analyze the influencing factors of T2DM with thyroid nodules.Receiver operating characteristic(ROC)curve was applied to analyze the diagnostic value of HbA1c and LAG-3 levels in T2DM with thyroid nodules.Results Compared with the control group,the level of HbA1c in the study group was obviously higher(P<0.05),while the level of LAG-3 was obviously lower(P<0.05).Compared with the benign nodule group,the serum LAG-3 level in the malignant nodule group was obviously lower(P<0.05),while the level of LAG-3 was obviously lower(P<0.05).Spearman analysis showed a positive correlation between HbA1c level and TI-RADS score in T2DM patients with thyroid nod-ules(r=0.378,P<0.001),while the serum LAG-3 level was negatively correlated with TI-RADS score(r=-0.472,P<0.001).The results of multivariate Logistic regression analysis showed that HbA1c was a risk factor for the occurrence of thyroid nodules in T2DM patients(P<0.05),and LAG-3 was a protective factor for the occurrence of thyroid nodules in T2DM patients(P<0.05).The combination of HbA1c and LAG-3 in the diagnosis of T2DM with thyroid nodules was superior to their individual diagnosis(Zcombination-HbA1c=2.542,P=0.011;Zcombination-LAG-3=3.098,P=0.002).Conclusion Patients with T2DM combined with thyroid nodules have obviously lower serum LAG-3 level and higher HbA1c level,and the two are related to the malignancy of thyroid nodules.

After COVID -19, patients, medical workers and the whole society in COVID -19 were faced with the challenge of how to quickly return to normal life. Patients cured in COVID -19 would face mental or psychological barriers, or be discriminated against, or face problems such as overweight of local epidemic prevention policies. The front-line medical personnel experienced job burnout and a variety of mental and psychological disorders, with some even developing physical symptoms. During the epidemic, ordinary people were in a state of psychological stress, education, production and economic activities were affected, and the incidence of mental or psychological disorders increases. It was necessary to provide COVID -19 patients with mental health monitoring and counseling. Give professional guidance to front-line medical staff, arrange rotation reasonably, and pay attention to their mental health status. Local governments should strictly implement the national epidemic prevention system, formulate epidemic prevention policies with humanistic care, actively publicize epidemic related knowledge and safeguard the rights and interests of the people.

Objective:The classification model of prognosis of elderly cancer patients in rural areas of Shaanxi province was constructed based on machine learning algorithm, and its effectiveness was verified, providing reference for early prognosis recognition and intervention treatment.Methods:Using a multicenter, cross-sectional survey method and convenience sampling method, 597 elderly cancer patients in rural areas hospitalized in 9 different medical institutions (Shaanxi Cancer Hospital and its member units of specialty alliance) in Shaanxi Province from July to August 2022 were selected as the research objects, and a variable database of "basic information", "self-care ability", "symptoms", "comprehensive needs" and "quality of life" of elderly cancer patients in rural areas was established. Machine learning and statistical analysis were carried out to explore the important prognostic characteristics of elderly cancer patients in rural areas, and a prognostic classification model for elderly cancer patients in rural areas was constructed and verified.Results:The 597 valid questionnaires were ultimately collected.Among the 597 elderly cancer patients in rural areas, 207 were males and 390 were females, aged (69.56 ± 8.84) years. The results of cluster exploration showed that the prognosis of elderly cancer patients in rural areas was divided into three categories: good, medium and poor. The areas under the working characteristic curves of the subjects in good, medium and poor were 0.84, 0.79 and 0.69, respectively. The results of characteristic exploration showed that 10 indicators of "whether accompanied by metastasis", "distress", "sadness", "numbness", "eating", "walking", "fatigue", "forgetfulness", "fun of life" and "relationship with others" were important characteristic indicators of prognosis evaluation of elderly cancer patients in rural areas. There were statistically significant differences among the 10 important characteristic indicators in the three categories of prognosis of rural elderly cancer patients ( χ2=21.07, H values were 18.51-144.38, all P<0.01). There were statistically significant differences in the three categories of "comprehensive needs", "quality of life", "self-care ability" and "symptoms" ( H values were 519.40, 40.80, 103.69, all P<0.01). Conclusions:The construction and verification of a prognostic classification model for elderly cancer patients in rural areas based on machine learning algorithm can effectively explore the important characteristic indicators and prognostic classification of elderly cancer patients in rural areas, and provide basis and guidance for clinical medical staff to make individualized plans.

Objective To investigate current status in knowledge,attitude and practice(KAP)of transitional care among the nurses in Shaanxi province,identify the influencing factors that hinder the transitional care and carry out training of transitional care for the nurses in different specialties in order to provide a theoretical basis for establishing a transitional care model for discharged patients.Methods A total of 2 288 nurses were selected to participate the survey from 41 hospitals in Shaanxi province by the stratified two-stage random sampling method.A self-designed questionnaire for general information,an obstacle factor scale,and a KAP of transitional care questionnaire were used as the survey instruments.The data acquired from the survey were processed by Cluster analysis to identify potential categories and the influencing factors.Results Totally 2085 nurses finished the study.Total score of KAP of transitional care among the nurses in Shaanxi province was found at(134.96±23.75),which was at a medium level.The scores of knowledge,attitude and practice were 77.24%,80.64%and 76.98%respectively.Cluster analysis showed that all the nurses could be categorised into either a lower scored group(n=1 596,76.5%)or a higher scored group(489,23.5%),with a best potential category number of 2 for the 2 085 nurses who participated the survey.There were statistically significant differences between the groups in terms of care training,telephone follow-up,network platform,outpatient service of nursing experts,family visits,patient club and hospital categories(all P＜0.05).Logistic regression analysis on even factors above showed that care training,telephone follow-up,network platform and patient club could significantly affect the potential categorisation of KAP of the nurses in transitional care(all P＜0.05).The main factors that hindered the transitional care included insufficient human resources(93.81%),insufficient supply of community services(93.57%)and lack of a standardised flowchart for transitional care(93.09%).Conclusions Levels of KAP about the transitional care are at a medium level among the nurses of 41 hospitals in Shaanxi province,which indicates that the nurses are active in attitude,but the knowledge and practice are required to be further improved and standardised.The results of cluster analysis indicate that it is necessary for nursing managers to carry out targeted trainings in transitional care for the nurses in different categories.This study provides a theoretical basis to establish a diversified transitional care mode for discharged patients in Shaanxi province.

Objective To investigate the impact of diabetes on the surviving myocardium in elderly patients with coronary heart disease(CHD)but without myocardial infarction.Methods A total of 122 elderly patients admitted to our hospital from June 2019 to September 2022 and had been diagnosed with CHD but had not haven myocardial infarction were enrolled,and then divided into surviving myocardium group(68 cases)and non-surviving myocardium group(54 cases),and also divided into diabetic group(72 cases)and non-diabetic group(50 cases).Resting and exercise load myocardial perfusion single photon emission computed tomography and 18F-FDG myocardial posi-tron emission computed tomography were performed on all the patients to analyze the surviving myocardium and the influencing factors.Results The surviving myocardium group had signifi-cantly lower proportions of diabetes and obesity than the non-surviving myocardium group(33.8％vs 90.7％,P＜0.01;17.6％vs 38.9％,P＜0.01).The diabetic group presented obviously larger proportions of absence of activity,hypertension and obesity(P＜0.05,P＜0.01),while low-er ratios of viable myocardium in the anterior,inferior,lateral,and septal walls in each ischemia area(P＜0.01)when compared with the non-diabetic patients.Single factor logistic regression analysis showed that diabetes was a risk factor for increasing ratio of non-surviving myocardium in ischemic myocardial area(95％CI:6.721-54.703,P=0.001).Multifactor logistic regression analysis indicated that after adjusting for age and sex,and further adjusting for obesity,the rela-tive risk of diabetes was 24.564(95％CI:7.464-80.865,P=0.001).Conclusion Diabetes signifi-cantly reduces the amount of viable myocardium in the elderly CHD patients.It is recommended that for the CHD patients without myocardial infarction,especially those complicated with diabe-tes,evaluation for viable myocardium in ischemic area is essential.

Humans ; HIV Infections/drug therapy* ; HIV-1/genetics* ; Tenofovir/therapeutic use* ; Anti-HIV Agents/therapeutic use* ; RNA ; Drug Combinations

Tooth germ injury can lead to abnormal tooth development and even tooth loss, affecting various aspects of the stomatognathic system including form, function, and appearance. However, the research about tooth germ injury model on cellular and molecule mechanism of tooth germ repair is still very limited. Therefore, it is of great importance for the prevention and treatment of tooth germ injury to study the important mechanism of tooth germ repair by a tooth germ injury model. Here, we constructed a Tg(dlx2b:Dendra2-NTR) transgenic line that labeled tooth germ specifically. Taking advantage of the NTR/Mtz system, the dlx2b⁺ tooth germ cells were depleted by Mtz effectively. The process of tooth germ repair was evaluated by antibody staining, in situ hybridization, EdU staining and alizarin red staining. The severely injured tooth germ was repaired in several days after Mtz treatment was stopped. In the early stage of tooth germ repair, the expression of phosphorylated 4E-BP1 was increased, indicating that mTORC1 is activated. Inhibition of mTORC1 signaling in vitro or knockdown of mTORC1 signaling in vivo could inhibit the repair of injured tooth germ. Normally, mouse incisors were repaired after damage, but inhibition/promotion of mTORC1 signaling inhibited/promoted this repair progress. Overall, we are the first to construct a stable and repeatable repair model of severe tooth germ injury, and our results reveal that mTORC1 signaling plays a crucial role during tooth germ repair, providing a potential target for clinical treatment of tooth germ injury.
Animals ; Mice ; Mechanistic Target of Rapamycin Complex 1/pharmacology* ; Signal Transduction ; Tooth/metabolism* ; Tooth Germ/metabolism* ; Odontogenesis

Objective:To provide insight into the clinical characteristics, therapy and prognosis of patients with radiation-induced brainstem injury after radiotherapy.Methods:From August 2013 to September 2021, 13 patients with radiation-induced brainstem injury were included in this study at Sun Yat-sen Memorial Hospital, and the general information and strategy of radiotherapy were collected. A retrospective analysis was adopted to investigate the clinical and radiological characteristics, treatment and clinical outcomes.Results:There were 13 cases in total, including 4 females and 9 males. The onset age of enrolled patients ranged from 29 to 66 years with an average of (48.15±10.23) years. The median dose targeted at tumor area was 70 Gy with in 33 fractions. The median interval between radiotherapy and the diagnosis of radiation-induced brainstem injury was 24 months. The common clinical manifestations included dysphagia, bucking dysarthria, dizziness and problem with balance. The MRI radiological features were hypointense on T1WI, hyperintense on T2WI, and irregularly enhanced with contrast. The median follow-up was 45 months. Seven cases got improvements, while 3 had no obvious efficacy and 3 cases died. No significant differences in prognosis were observed between those received traditional glucocorticoid and those received bevacizumab treatment( P=0.079). Conclusions:The common symptoms of radiation-induced brainstem injury were symptoms of posterior cranial nerves injury and ataxia. Lesions mostly happened in pons and medulla, with hypointense on T1WI and hyperintense on T2WI. Half of the patients have improved after treatment. There was no significant difference in prognosis between glucocorticoid and bevacizumab treatment.