Objective: The efficacy of antidepressants is influenced by a combination of genetic, individual, and environmental factors. This study aimed to investigate the association between the miR-182 rs76481776 polymorphism and the response to antidepressant treatment in major depressive disorder (MDD) patients, and its underlying molecular mechanisms. Methods: This study enrolled 180 MDD patients and 180 healthy controls. The rs76481776 genotype was determined using TaqMan-based qPCR. The severity of depression and treatment response were assessed using the Hamilton Depression Rating Scale (HAMD). The expression of miR-182 and BDNF was measured using RT-qPCR. The regulatory relationship between miR-182 and BDNF was confirmed through a luciferase reporter gene assay. The correlation between miR-182 and BDNF expression was evaluated using the Pearson correlation coefficient. Results: The T allele of rs76481776 was a significant risk factor for MDD (OR = 2.182, 95% CI: 1.424−3.345, p ＜ 0.001) and was significantly associated with higher baseline scores on the HAMD. Moreover, individuals carrying the T allele (CT/TT genotype) exhibited a significantly poorer response to antidepressant treatment and a lower remission rate within 12 months compared to those with the CC genotype (p ＜ 0.05). Mechanistically, miR-182 was highly expressed in patients with MDD (p ＜ 0.05), and its expression was even higher in T allele carriers (p ＜ 0.05). miR-182 could directly target and suppress BDNF, leading to decreased BDNF expression in MDD patients, and its expression was significantly and inversely correlated with BDNF expression. Conclusion The T allele of rs76481776 diminished the therapeutic efficacy of antidepressants by up-regulating miR-182 expression and subsequently suppressing BDNF expression.

Digital medical insurance governance， as an important component of digital transformation， improves the efficiency of medical insurance services while facing complex ethical challenges. Taking stakeholder theory as the analytical framework， this paper explored the generative mechanisms， manifestations， and countermeasures of ethical issues in digital medical insurance governance. This study uncovered that accelerated technological iteration and lagging ethical and legal norms， as well as interest conflicts among multiple participants in governance， constituted the major causes of ethical issues. These issues specifically manifested as data privacy leakage， unfair algorithmic decision-making， widening digital divide， ambiguous accountability， and other aspects. To address these issues， this paper put forward systematic countermeasures， such as establishing a dynamic ethical and legal regulatory system， balancing the demands of stakeholders， strengthening technological ethical governance， narrowing the digital divide， and enhancing accountability mechanisms. Through the implementation of multi-dimensional governance strategies， it aimed to balance technological innovation and ethical constraints， advance the inclusiveness， fairness， and sustainable development of digital medical insurance， and provide theoretical reference and practical references for improving China’s digital medical insurance governance system.

OBJECTIVE To investigate the distribution and drug resistance of multidrug-resistant bacteria in the neonatal intensive care unit of a three-A children's hospital in Henan Province,and to provide reference for ational drug use in clinical practice.METHODS Clinical specimens from hospitalized newborns in neonatal intensive care unit from a three-A children's hospital from Jan.1,2019 to Dec.31,2023 were subjected to etiological exam-ination and drug sensitivity test,and to analyze the distribution and drug resistance of multidrug-resistant bacteri-a in hospitalized newborns.RESULTS During the 5-year period,1139 strains of multidrug-resistant bacteria were i-solated,including 229 gram-positive bacteria(20.11％)and 910 gram-negative bacteria(79.89％).There were 92 strains of methicillin-resistant Staphylococcus aureus(MRSA)(accounting for 8.08％),57 strains(accounting for 5.00％)of methicillin-resistant coagulase-negative Staphylococcus epidermidis and 28 strains(accounting for 2.46％)of methicillin-resistant coagulase-negative human Staphylococcus.370 strains(accounting for 32.48)of carbapenem-resistant Klebsiella pneumoniae(CRKP),268 strains(accounting for 23.53％)of extenspectrum β-lactamase-producing Escherichia coli and 85 strains(accounting for 7.46％)of K.pneumoniae,there were 767 sputum specimens(67.34％),160 blood specimens from peripheral intravenous puncture and central venous cath-eterization(PICC)(14.05％),63 bronchoalveolar lavage fluid specimens(5.53％),29 secretion specimens(eye and wound secretions)(2.54％),and 120 other specimens(10.54％).K.pneumoniae and E.coli producing su-per-broad spectrum β-lactamase,CRKP and MRSA were the main drug-resistant bacteria.CONCLUSION The sit-uation of drug resistance in neonatal intensive care unit is serious,therefore monitoring bacterial resistance should be strengthened according to the clinical laboratory results,and antibiotics should be applied rationally.

Objective To observe the clinical efficacy of Jiawei Sanpian decoction in the treatment of liver stagnation and blood stasis tension-type headache.Methods A total of 87 patients with Liver stagnation and blood stasis tension-type headache who were admitted to Beijing First Hospital of Integrated Chinese and Western Medicine from April 2021 to November 2022,and observation group(n=44)was treated with Jiawei Sanpian decoction granules combined with ibuprofen capsules,and control group(n=43)was treated with Jiawei Sanpian decoction granules simulant combined with ibuprofen capsules for 28 days.Pain visual analogue scale(VAS)score,traditional Chinese medicine(TCM)symptom score and clinical efficiency were compared between the two groups.Results VAS score and TCM symptom score in two groups decreased sigwificamtly after therapy,and VAS score and TCM symptom score in observation group decreased more significantly than these in control group,and the difference was statistically significant(P＜0.05).After therapy,the effective rate of patients in observation group was significantly higher than in control group(P＜0.05).Conclusion Combined with Jiawei Sanpian decoction treatment,it can reduce VAS score of patients with liver stagnation and blood stasis tension-type headache,improve the clinical symptoms of patients,and enhance the clinical effective rate,which is better than Western medicine treatment alone,and is worthy of clinical promotion and application.

Purpose To investigate the feasibility of a deep learning framework to automatically analyze echocardiographic color Doppler videos in detecting valvular regurgitation.Materials and Methods This study retrospectively collected echocardiographic images of 1 109 patients with valvular regurgitation in the Fourth Medical Center of PLA General Hospital,from June 2015 to September 2019 as the training and validation sets.A prospective continuous collection of 1 562 echocardiography images was used as the test set in the Fourth Medical Center of PLA General Hospital from May 13 to June 13,2023,including 378 cases of mitral regurgitation and 223 cases of aortic regurgitation.This study developed deep learning networks to establish view classification model and valvular regurgitation recognition model,including the efficiency of section classification of deep learning models.Results The deep learning view classification model in this study could automatically identify two views for diagnosing mitral regurgitation and aortic regurgitation.The recognition accuracy for the parasternal long axis color Doppler view and the apical four chamber mitral color Doppler view was 1.00 and 0.93,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model for diagnosing mitral regurgitation were 0.847,0.852,0.849 and 0.930,respectively.The sensitivity,specificity,accuracy and area under the curve of the deep learning model in diagnosing aortic regurgitation were 0.857,0.861,0.859 and 0.940,respectively.Conclusion Deep learning algorithms can automatically identify valvular regurgitation and have the potential to become a screening tool for valvular heart disease.

X-ray-visible embolic microsphere (XEM) is a type of embolic microsphere that incorporates radiopaque substances within its matrix or on its surface, enabling visualization under X-ray imaging. This capability provides real-time intraprocedural feedback during transarterial chemoembolization (TACE), which helps optimize embolization outcomes and facilitates post-procedural evaluation. This article summarizes recent advances in the application of XEM in TACE and discusses the challenges associated with its clinical translation, with the aim of promoting the further development and clinical utilization of this technology.

X-ray-visible embolic microsphere (XEM) is a type of embolic microsphere that incorporates radiopaque substances within its matrix or on its surface, enabling visualization under X-ray imaging. This capability provides real-time intraprocedural feedback during transarterial chemoembolization (TACE), which helps optimize embolization outcomes and facilitates post-procedural evaluation. This article summarizes recent advances in the application of XEM in TACE and discusses the challenges associated with its clinical translation, with the aim of promoting the further development and clinical utilization of this technology.

Objective To observe the clinical efficacy of Jiawei Sanpian decoction in the treatment of liver stagnation and blood stasis tension-type headache.Methods A total of 87 patients with Liver stagnation and blood stasis tension-type headache who were admitted to Beijing First Hospital of Integrated Chinese and Western Medicine from April 2021 to November 2022,and observation group(n=44)was treated with Jiawei Sanpian decoction granules combined with ibuprofen capsules,and control group(n=43)was treated with Jiawei Sanpian decoction granules simulant combined with ibuprofen capsules for 28 days.Pain visual analogue scale(VAS)score,traditional Chinese medicine(TCM)symptom score and clinical efficiency were compared between the two groups.Results VAS score and TCM symptom score in two groups decreased sigwificamtly after therapy,and VAS score and TCM symptom score in observation group decreased more significantly than these in control group,and the difference was statistically significant(P＜0.05).After therapy,the effective rate of patients in observation group was significantly higher than in control group(P＜0.05).Conclusion Combined with Jiawei Sanpian decoction treatment,it can reduce VAS score of patients with liver stagnation and blood stasis tension-type headache,improve the clinical symptoms of patients,and enhance the clinical effective rate,which is better than Western medicine treatment alone,and is worthy of clinical promotion and application.

Objective To investigate the achievement of early fluid resuscitation targets and factors influencing 28-day outcomes in patients with sepsis.Methods A retrospective cohort analysis was conducted.A total of 164 patients with sepsis admitted to the First Affiliated Hospital of Xinjiang Medical University between January 2022 and January 2024 were enrolled.Patients were divided into survival and death groups based on 28-day survival status,with both groups receiving early fluid resuscitation.Comparisons were made between groups for general characteristics[gender,age,body mass index(BMI),infection site,comorbidities],primary indicators[central venous pressure(CVP),mean arterial pressure(MAP),urine output],and secondary indicators[blood lactate acid(Lac),procalcitonin(PCT),heart rate,sequential organ failure assessment(SOFA)on intensive care unit(ICU)admission day,Glasgow coma scale(GCS),duration and dose of vasoactive medication use].Univariate analysis identified variables associated with prognosis,followed by multivariate Logistic regression to select independent risk factors.Receiver operator characteristic(ROC curve)were plotted to assess predictive performance of each risk factor for the 28-day prognosis of patients with sepsis.Results This study included 164 patients.The primary infection sites were mainly the lungs,abdominal cavity,and urinary system,accounting for 42.7%(70/164),38.4%(63/164),and 9.1%(15/164)respectively.The survival group comprised 141 patients,while the the death group included 23 patients.No statistically significant differences existed between groups in gender,BMI,infection site(soft tissue infection vs.others),underlying diseases,MAP,urine output(all P>0.05).Compared to the survival group,the death group showed significantly higher age,pulmonary infection rate,Lac levels,vasoactive drug duration/dose,heart rate,and SOFA scores,while the rates of abdominal,and urinary tract infection,as well as CVP,PCT,and GCS scores were significantly lower(all P<0.05).The achievement rates of early fluid resuscitation parameters:MAP target achievement was highest at 78.7%(129/164),followed by urine output compliance at 78.0%(128/164),while CVP compliance was the lowest at 39.0%(64/164).The overall compliance rate was 21.3%(35/164).Univariate analysis showed that age,pulmonary infection,Lac levels,duration and dose of vasoactive drugs,heart rate,PCT,GCS score,and SOFA score were all risk factors affecting the 28-day prognosis of patients with sepsis(all P<0.05).Multivariate Logistic regression analysis showed Lac levels,and pulmonary infection were independent risk factors affecting 28-day prognosis of patients with sepsis[odds ratio(OR)were 0.801,3.966,0.812,95%confidence interval(95%CI)were 0.711-0.903,1.149-13.696,0.674-0.979 respectively,P values were<0.001,0.029,0.029 respectively].ROC curve analysis demonstrated that age,Lac levels,and pulmonary infection all possessed predictive value for 28-day outcomes(all P<0.05).Age exhibited the highest predictive value with an AUC of 0.922.At the optimal cut-off of 76.6 years,sensitivity reached 95.7%and specificity 80.9%.Conclusion The overall achievement rate of early fluid resuscation in sepsis patients was low,with age,Lac levels,and pulmonary infection being major factors influencing poor prognosis.

Polycythemia vera (PV) is a BCR-ABL1-negative myeloproliferative neoplasm characterized by the proliferation of all three hematopoietic cell lines to varying degrees. It is commonly associated with mutations such as JAK2 V617F or mutations in exon 12 of the JAK2 gene. These genetic alterations contribute to a range of clinical manifestations, including thrombosis, bleeding tendencies, splenomegaly, and disturbances in microcirculation. Phlebotomy serves as a first-line therapeutic approach for PV by reducing hematocrit levels to a target below 45%, which effectively decreases blood viscosity and thereby lowers the risk of thrombosis. As such, phlebotomy plays a crucial role in the management of PV. This review systematically summarizes recent research advances on phlebotomy for PV, aiming to support the development of individualized treatment approaches for patients with PV.