To explore the advantages of traditional Chinese medicine （TCM） and integrative TCM-Western medicine approaches in the treatment of diabetic microvascular complications （DMC）， refine key pathophysiological insights and treatment principles， and promote academic innovation and strategic research planning in the prevention and treatment of DMC. The 38th session of the Expert Salon on Diseases Responding Specifically to Traditional Chinese Medicine， hosted by the China Association of Chinese Medicine， was held in Beijing， 2024. Experts in TCM， Western medicine， and interdisciplinary fields convened to conduct a systematic discussion on the pathogenesis， diagnostic and treatment challenges， and mechanism research related to DMC， ultimately forming a consensus on key directions. Four major research recommendations were proposed. The first is addressing clinical bottlenecks in the prevention and control of DMC by optimizing TCM-based evidence evaluation systems. The second is refining TCM core pathogenesis across DMC stages and establishing corresponding "disease-pattern-time" framework. The third is innovating mechanism research strategies to facilitate a shift from holistic regulation to targeted intervention in TCM. The fourth is advancing interdisciplinary collaboration to enhance the role of TCM in new drug development， research prioritization， and guideline formulation. TCM and integrative approaches offer distinct advantages in managing DMC. With a focus on the diseases responding specifically to TCM， strengthening evidence-based support and mechanism interpretation and promoting the integration of clinical care and research innovation will provide strong momentum for the modernization of TCM and the advancement of national health strategies.

Objective To investigate the probability and dosimetric risk factors of lung injury after sequential immune checkpoint inhibitors (ICIs) and thoracic radiotherapy. Methods A retrospective analysis was conducted on 139 patients who received sequential ICIs and thoracic radiotherapy in Xuzhou Cancer Hospital and Affiliated Hospital of Xuzhou Medical University between February 2020 and February 2024. The relationships of clinical factors and lung and heart volume dose parameters with grade ≥ 2 acute lung injury (ALI) in patients with thoracic tumors were studied using univariable (χ² test, t test, nonparametric test) and multivariable (binary logistic regression analysis) methods. The thresholds of dosimetric risk factors were determined using the receiver operating characteristic curves. Clinical factors included age, gender, smoking history, type of ICIs, cycle of ICI application, and the interval between ICI application and thoracic radiotherapy. Dose parameters included total radiotherapy dose, single dose, planning target volume, maximum dose of planning target volume, average dose of planning target volume, total lung volume, heart volume, and the V₅, V₁₀, V₁₅, V₂₀, V₂₅, V₃₀, V₃₅, and V₄₀ of lung and heart. Results The incidence of grade ≥ 2 ALI in the included cases was 36% (50/139). The χ² test did not find any statistically significant clinical factors. In the univariable and binary Logistic regression analysis, lung V₁₅ and V₂₀, heart V₁₅ and V₂₀, and lung volume were independent risk factors for the occurrence of grade ≥ 2 ALI in sequential ICIs and thoracic radiotherapy. The thresholds were 18.51% for lung V₁₅, 14.43% for lung V₂₀, 32.41% for heart V₁₅, and 17.74% for heart V₂₀. Conclusion For patients who are going to receive thoracic radiotherapy after ICIs, the thresholds of lung V₁₅ and V₂₀ and heart V₁₅ and V₂₀ in the radiotherapy plan are recommended to be less than 18.51%, 14.43%, 32.41%, and 17.74%, respectively, which can effectively reduce the occurrence of grade ≥ 2 ALI.

This study was aimed at analyzing the epidemiological and drug resistance characteristics of tuberculosis at a desig-nated tuberculosis hospital in Hunan Province in 2024.Patients diagnosed with TB at the hospital between April and October 2024 were included in the study.Demographic data,clinical information,and drug sensitivity test results were collected from the hospital′s electronic medical record system.Descriptive statistics,the chi-square test,and logistic regression were used to analyze the epidemic characteristics,drug resistance characteristics,and factors influencing tuberculosis.Whole genome sequencing of isolates was per-formed,and lineage classification and drug resistance gene mutations were detected with TB-Profiler.The male-to-female ratio was 2.72∶1,and the median age was 56(IQR:43-66)years.Among the 391 patients,most were farmers(46.8%,183/391)and were pri-marily from Changsha(41.1%,162/391).Significant differences were observed in sex and occupation between pulmonary tuberculosis(PTB)and extrapulmonary tuberculosis(EPTB).The overall prevalence of any type of drug resistance of tuberculosis was 33.25%,and the multidrug resistance TB(MDR-TB)and poly-drug resistance(PR-TB)rates were 14.23%and 4.35%,respectively.The re-sistance rates to rifampicin(RIF),isoniazid(INH),ethambutol(EMB),and streptomycin(SM)were 17.90%,22.25%,6.39%,and 20.20%,respectively.Multivariable logistic regression analysis indicated that both diabetes(OR:2.295,95%CI:1.082-4.866)and retreatment(OR:17.822,95%CI:8.343-38.072)were risk factors for developing MDR-TB.Lineage 2(L2)strains accounted for 64.40%(136/191),whereas lineage 4(L4)accounted for 28.80%(55/191).The most common drug resistance mutations were katG Ser315Thr(62.50%,20/32)for INH,rpoB Ser450Leu(50.00%,12/24)for RIF,embB Met306Val(55.56%,5/9)for EMB,and rpsL Lys43Arg(80.95%,34/42)for SM.In conclusion,TB drug resistance was found to be a serious problem at a designated tu-berculosis hospital in Hunan in 2024.Strengthening the treatment and management of patients infected with L2 strains,those with co-morbid diabetes,and retreatment cases is crucial for preventing and controlling the emergence of drug-resistant TB.

Objective To understand the economic losses due to healthcare-associated infection(HAI)in patients after Da Vinci robotic thoracic surgery,and provide basis for preventing and controlling HAI after robotic surgery.Methods Patients who underwent Da Vinci robotic surgery from April 2019 to April 2023 were retrospective stu-died.Patients were divided into HAI group and non-HAI group based on the occurrence of postoperative infection.Through 1∶1 propensity score matching(PSM),31 cases were included in each group,economic losses of two groups of patients were compared.Results A total of 921 patients who underwent Da Vinci robotic thoracic surgery were included in the study,51 cases with HAI(HAI group)and 870 without HAI(non-HAI group).After 1∶1 PSM,31 cases were included in each group.Four covariates were compared between two groups of patients before PSM,namely gender,age,comorbidities,and the American Society of Anesthesiologists(ASA)grading,all with statistically significant differences(all P＜0.05).After PSM,distribution of the above covariates reached equilib-rium between the two groups(both P＞0.05).The median total expense for HAI group before PSM during hospi-talization was 88 711.72 Yuan,while 78 509.46 Yuan for the non-HAI group.The direct economic losses caused by HAI after Da Vinci robot surgery was 10 202.26 Yuan,mainly increased by expense of medicine,nursing,laborato-ry diagnosis,etc.Difference in western medicine expense was the highest(8 839.12 Yuan),out of which expense of antimicrobial agents accounted for the highest proportion(73.55％).Difference in daily hospitalization expense between HAI-group and non-HAI group was 502.38 Yuan.Length of hospital stay of patients in HAI group and non-HAI group were(21.59±10.62)and(13.92±9.21)days,respectively,with statistical differences(all P＜0.05).Conclusion The occurrence of HAI in patients undergoing Da Vinci robotic thoracic surgery leads to direct economic losses,with obvious increases in expenses of nursing,laboratory diagnosis,western medicine(mainly an-timicrobial agents).Length of hospital stay of patients also prolongs.

Objective:To analyze the predictive factors associated with late-onset sepsis(LOS) in very low birth weight infants,and to develop a risk prediction score scale applicable to these infants three days postnatal.This will provide valuable insights for early diagnosis and timely intervention.Methods:Very low birth weight infants admitted to the Children's Hospital of Fudan University from January 1,2022,to June 30,2024,were selected as research subjects.These infants were categorized into two groups:the LOS group and the non-LOS group,based on whether they developed LOS.LASSO regression analysis,alongside univariate and multivariate regression analyses,was employed to identify predictive factors for LOS in this population.A Logistic model was constructed using the optimal combination of predictive variables,and a risk assessment scale was subsequently developed.The prediction performance of the model was evaluated using the Hosmer-Lemeshow chi-square test and the receiver operating characteristic curve.Results:A total of 444 cases of very low birth weight infants were included,of which 185 had LOS and 259 did not.After screening the variables,seven independent factors were included into the model:birth weight,gestational age,tracheal intubation,abnormal skin color,abdominal distension,elevated C-reactive protein levels,and right hand perfusion index.A predictive scoring scale was developed based on the regression coefficients of each variable,with corresponding risk scores assigned as follows:1,4,3,2,1,1,and 2; a score of ≥3.5 indicated high-risk groups.The Hosmer-Lemeshow test results demonstrated that χ2 = 7.602( P = 0.473).The area under the receiver operating characteristic curve was 0.792 ( P<0.001),with a sensitivity of 73.5% and specificity of 71.0%. Conclusion:The risk score scale developed in this study exhibits significant predictive capability,providing valuable insights for clinical medical personnel to assess the risk of LOS in very low birth weight infants during the early postnatal period.

Objective:To investigate the effectiveness of predictive nursing based on root cause analysis in patients undergoing cesarean section.Methods:A convenience sampling method was used to select 180 women who underwent cesarean section under combined spinal-epidural anesthesia in the Affiliated Hospital of Jining Medical University from September 2021 to October 2022. According to the random number table method, they were divided into a control group ( n=90) and an observation group ( n=90). The control group received routine nursing care, while the observation group received predictive nursing based on root cause analysis. Compared the pain intensity at 24 hours after cesarean section and the incidence of postoperative complications between the two groups of parturients. Results:The Visual Analog Scale scores at 24 hours post-cesarean section and the overall incidence of postoperative complications were lower in the observation group than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:Predictive nursing based on root cause analysis can effectively relieve postoperative pain and reduce the incidence of complications in patients undergoing cesarean section with combined spinal-epidural anesthesia.

Objective:To investigate the effectiveness of predictive nursing based on root cause analysis in patients undergoing cesarean section.Methods:A convenience sampling method was used to select 180 women who underwent cesarean section under combined spinal-epidural anesthesia in the Affiliated Hospital of Jining Medical University from September 2021 to October 2022. According to the random number table method, they were divided into a control group ( n=90) and an observation group ( n=90). The control group received routine nursing care, while the observation group received predictive nursing based on root cause analysis. Compared the pain intensity at 24 hours after cesarean section and the incidence of postoperative complications between the two groups of parturients. Results:The Visual Analog Scale scores at 24 hours post-cesarean section and the overall incidence of postoperative complications were lower in the observation group than those in the control group, and the differences were statistically significant ( P<0.05) . Conclusions:Predictive nursing based on root cause analysis can effectively relieve postoperative pain and reduce the incidence of complications in patients undergoing cesarean section with combined spinal-epidural anesthesia.

Objective:To analyze the application of situational teaching method based on the OBE concept in the teaching of Emergency and Critical Care Nursing course for undergraduate nursing students,and evaluate its effect on their clinical practice and internship adaptability.Methods:The third-year nursing students from 2018 to 2021 in a university in Anhui Province were selected as the research objects.Thirty students were selected as the experimental group each academic year,and taught using situational teaching method based on the OBE concept.Another 30 students from the same academic year were selected as the control group and taught using the conventional teaching method.The course teaching evaluation and course assessment scores of the two groups were compared,and the clinical practice ability and internship adaptability were compared before and after 3 months of hospital internship.Results:There was no significant difference in the course teaching evaluation and course assessment scores between the two groups(P＞0.05).The case analysis score of the experimental group was higher than that of the control group(P＜0.01).The scores of each dimension and total score of the clinical practice ability scale after internship in the observation group were higher than those in the control group(P＜0.05),and the scores of each dimension and total score of the internship adaptability scale were also higher than those in the control group(P＜0.05).Conclusion:Based on the concept of OBE,the situational teaching method is beneficial to improving the ability of case analysis,and enhancing the clinical practice ability and internship adaptability of nursing students.

Objective:To evaluate the long-term protective efficacy of the recombinant Chinese hamster ovary cell-derived hepatitis B vaccine（CHO-HepB）26 years post-vaccination in the rural China.Methods:Zhengding county，Hebei province was designated as a rural monitoring site for CHO-HepB efficacy. Study participants included individuals born between 1997 and 1999 who had completed the three-dose CHO-HepB primary series without booster doses. A cross-sectional survey was conducted in late 2024 using random sampling. Demographic and vaccination history data were collected via questionnaires，and hepatitis B virus（HBV）serological markers were detected using chemiluminescence. Historical surveillance data were integrated to infer infection statuses of HBsAg-positive individuals and evaluate longitudinal trends in anti-HBs seropositivity and antibody titers.Results:Among 178 participants（mean time since vaccination：26.2 years），the seroprevalence rates were 0.6% for HBsAg（95% CI：0.0%-1.6%），64.6% for anti-HBs（95% CI：57.6%-71.6%），and 1.1% for anti-HBc（95% CI：0.0%-2.7%）. Compared to the pre-vaccination baseline HBsAg positivity of 11.3% in children under 10 years of age，the estimated vaccine protection rate was 95%. Two notable cases were identified：one with concurrent HBsAg and anti-HBc positivity and one with anti-HBs and anti-HBc positivity，suggestive of transient HBV exposure（1999—2009）without chronicity. Natural immune boosting was inferred for the latter case based on anti-HBs titer dynamics. Longitudinal analysis of four prior cross-sectional surveys（2005，2009，2013，and 2017）revealed no significant upward trends in HBsAg and anti-HBc positivity（both P>0.05）over 26 years，while anti-HBs seropositivity declined significantly（ P<0.05）from 6 to 26 years post-vaccination. Conclusion:The CHO-HepB vaccine demonstrates sustained immunological persistence and robust long-term protection up to 26 years post-immunization. Continued emphasis on rigorous implementation of mother-to-child transmission prevention strategies is critical for future hepatitis B control.

Estrogen receptor α36(ERα36),a splice variant of ERα66,is crucial in the pathogenesis,progression,and therapeutic resistance of female estrogen-related tumors(e.g.,breast,cervical,and endometrial cancers)as it uniquely activates non-genomic signaling pathways.This review provides a comprehensive summary of the structural features of ERα36 and its molecular mechanisms in regulating tumor prolif-eration,migration,and drug resistance via membrane-mediated pathways,including phosphatidylinositol 3-kinase/protein kinase B(PI3K/AKT)and mitogen-activated protein kinase/extracellular signal-regulated kinase(MAPK/ERK).The interaction between ERα36 and epi-dermal growth factor receptor/human epidermal growth factor receptor2(EGFR/HER2)forms a positive feedback loop that exacerbates ma-lignant transformation.High ERα36 expression is associated with decreased sensitivity to chemotherapy and resistance to tamoxifen.Recent studies have demonstrated that natural compounds and synthetic inhibitors targeting ERα36 can reverse drug resistance and suppress can-cer stem cell activity by blocking non-genomic signaling.This review provides novel insights into overcoming drug resistance and optimizing targeted therapies for female estrogen-related malignancies.