ObjectiveTo evaluate the efficacy and safety of Janus kinase （JAK） inhibitors combined with Chinese herbal medicine （CHM） in treating rheumatoid arthritis （RA）. MethodsClinical data from 169 RA patients were retrospectively collected. Among them， 71 cases received JAK inhibitors as the control group， while 98 cases received JAK inhibitors plus CHM as the observation group， both treated for 24 weeks. The rheumatoid factor （RF）， cyclic citic peptide antibody （anti-CCP）， erythrocyte sedimentation rate （ESR）， C-reactive protein （CRP）， and white blood cell count （WBC） were recorded before and after treatment. Databases including CNKI， Wanfang， VIP， PubMed and Web of Science were searched from inception till August 31st， 2025 for randomized controlled trials （RCTs） on the combined use of JAK inhibitors and CHM for RA. The methodological quality of the included studies was evaluated using the risk of bias assessment tool. Meta-analyses were performed for RF， anti-CCP， ESR， CRP， 28-joint disease activity score （DAS28）， overall clinical effective rate， and incidence of adverse events. Sensitivity analysis were also performed. ResultsThe retrospective study demonstrated that after treatment， ESR， CRP， and anti-CCP levels decreased in the observation group， while ESR and CRP levels decreased in the control group （P＜0.05）. Moreover， ESR and RF levels in the observation group were lower than those in the control group （P＜0.05）. A total of 9 RCTs involving 770 patients were included in the meta-analysis. The results indicated that the JAK inhibitors plus CHM group was superior to the JAK inhibitors group in reducing RF （MD=-8.97， 95%CI -15.01 to -2.94， P=0.004）， CRP （MD=-3.34， 95%CI -3.82 to -2.86， P＜0.001）， ESR （MD=-5.33， 95%CI -7.98 to -2.69， P＜0.001）， and DAS28 score （MD=-0.54， 95%CI -0.74 to -0.34， P＜0.001）， as well as in improving the overall clinical effective rate （OR=4.53， 95%CI 2.55 to 8.03， P＜0.001）. No statistically significant differences were observed between groups in anti-CCP levels （SMD=-2.08， 95%CI -4.41 to 0.24， P=0.080） or incidence of adverse events （OR=0.93， 95%CI 0.55 to 1.57， P=0.790）. ConclusionThe combination of JAK inhibitors and CHM demonstrates remarkable efficacy in treating RA， contributing to improved disease activity and reduced inflammatory markers with a favorable safety profile.

Objective:To conduct a scoping review of studies related to the application of dance movement therapy (DMT) in cancer patients to provide a reference for subsequent research and clinical promotion of its application.Methods:Using the research method of scoping review, domestic and international databases such as China National Knowledge Infrastructure, Wanfang, PubMed, Embase, etc. were systematically searched, with a search timeframe from the construction of the database to April 12, 2025, and the included literature was screened, summarized, and analyzed and the findings were reported.Results:A total of 12 papers were finally included, including 7 randomized controlled trials and 5 quasi-experimental studies. The frequency of DMT interventions was mostly 2 times per week, each intervention usually lasts for 1-1.5 h, for a duration ranging from 2 weeks to 3 months, and was mostly implemented by professionally qualified dance movement therapists, which could effectively improve the physical functioning, mental state, quality of life, and cancer-related symptoms of cancer patients.Conclusions:DMT, as a flexible and creative psychotherapy, has positive significance in cancer patients.

Objective:To explore the effect of EAERI (E: environment; A: accompany; E: emotion; R: respect; I: information) support strategies in the application of nurse second victims in restoring the passage of a patient safety incident, and to provide support to nurse second victims experiencing a safety incident in restoring the incident and mitigating secondary victimization from the incident.Methods:The method of historical comparison was adopted. A convenience sampling method was used to select nurses who experienced patient safety events in Shanxi Bethune Hospital (Shanxi Academy of Medical Sciences) from January 2023 to February 2024 as the study subjects, which were divided into observation group and control group by the historical control grouping method. The observation group used the EAERI support strategy for patient safety incident reduction, and the control group used the conventional reduction method. The second victims of the nurses in both groups were assessed for their level of harm and support in the patient safety incident using the Second Victim Experience and Support Tool before and after the event reduction, respectively.Results:A total of 124 second victims completed the study. There were 63 cases in the control group, including 13 males and 50 females, with an age of (30.24 ± 4.91) years old. There were 20 males and 41 females in the observation group, with an age of (30.85 ± 5.50) years old. Before the restoration event, there was no significant differences in the total scores of victim experience and support, the degree of injury and the degree of support between the two groups (all P>0.05). The total scores of victim experience and support, the degree of injury and the degree of support were (89.35 ± 10.69), (44.57 ± 6.19), (44.78 ± 9.40) points in the control group, and (64.13 ± 9.36), (33.56 ± 8.84), (30.56 ± 3.17) points in the observation group. The differences were significant between the two groups ( t=14.02, 8.07, 11.29, all P<0.01). Conclusions:The EAERI support strategy is feasible and effective. The implementation of the EAERI support strategy can reduce the degree of injury when the second victim of the nurse restores the safety incident and improve the degree of support.

As the main body of scientific research and innovation in hospitals,timely understanding of medical person-nel's scientific research outputs and its influencing factors has practical guiding significance for hospital management to identify scientific research talents,formulate targeted training programs,customize relevant science and technology policies,etc.This ar-ticle will comprehensively elaborate the concept of scientific research outputs,evaluation methods and influencing factors of scien-tific research outputs among medical personnel.Meanwhile,the article will provide suggestions for influencing factors,in order to provide references for the hospital management in the future.

S100a8 and S100a9 protein are important members of the S100 protein family.It can induce inflammation by acti-vating intracellular signal cascade,and its strong calcium binding ability makes it play an important role in regulating cell contraction.It has been reported that S100a8 and S100a9 could not only regulate asthmatic airway inflammation,but also have a protective effect on asthmatic airway hyperresponsiveness.This article intends to review the role of S100a8 and S100a9 proteins in airway inflammation and airway hyperresponsiveness in asthma,so as to provide new ideas for the research and prevention of asthma.

Purpose To develop an integrate model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics for predicting epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.Materials and Methods This retrospective study included 117 patients with pathologically confirmed non-small cell lung cancer from the First Affiliated Hospital of Guangxi Medical University(July 2021 to February 2024).Patients were randomly divided into training(n=93)and test(n=24)sets at an 8∶2 ratio.Regions of interest were delineated at the peak enhancement phase of contrast-enhanced lung ultrasonography.Various deep learning convolutional neural networks were pretrained,with ResNet18 selected as optimal for feature extraction.Deep learning,clinical,and integrated models were constructed using naive Bayesian algorithm.Performance was evaluated via receiver operating characteristic and calibration curves,while class activation mapping and Shapley additive explanation values provided model interpretability.Results In the training set,the deep learning,clinical and integrated models achieved area under the curve of 0.93(95%CI 0.88-0.98),0.86(95%CI 0.68-1.00),and 0.91(95%CI 0.85-0.97),respectively.Corresponding test set area under the curve were 0.81(95%CI 0.72-0.90),0.56(95%CI 0.33-0.80),and 0.87(95%CI 0.72-1.00).Both deep learning and integrated models significantly outperformed the clinical model in training(Z=2.380,P=0.017;Z=2.597,P=0.009)and test sets(Z=2.034,P=0.042;Z=2.577,P=0.010).The integrated model demonstrated excellent calibration and predictive performance.Conclusion The integrated model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics effectively predicts epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.

Purpose To develop an integrate model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics for predicting epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.Materials and Methods This retrospective study included 117 patients with pathologically confirmed non-small cell lung cancer from the First Affiliated Hospital of Guangxi Medical University(July 2021 to February 2024).Patients were randomly divided into training(n=93)and test(n=24)sets at an 8∶2 ratio.Regions of interest were delineated at the peak enhancement phase of contrast-enhanced lung ultrasonography.Various deep learning convolutional neural networks were pretrained,with ResNet18 selected as optimal for feature extraction.Deep learning,clinical,and integrated models were constructed using naive Bayesian algorithm.Performance was evaluated via receiver operating characteristic and calibration curves,while class activation mapping and Shapley additive explanation values provided model interpretability.Results In the training set,the deep learning,clinical and integrated models achieved area under the curve of 0.93(95%CI 0.88-0.98),0.86(95%CI 0.68-1.00),and 0.91(95%CI 0.85-0.97),respectively.Corresponding test set area under the curve were 0.81(95%CI 0.72-0.90),0.56(95%CI 0.33-0.80),and 0.87(95%CI 0.72-1.00).Both deep learning and integrated models significantly outperformed the clinical model in training(Z=2.380,P=0.017;Z=2.597,P=0.009)and test sets(Z=2.034,P=0.042;Z=2.577,P=0.010).The integrated model demonstrated excellent calibration and predictive performance.Conclusion The integrated model combining deep learning features from contrast-enhanced lung ultrasonography with clinical characteristics effectively predicts epidermal growth factor receptor mutation status in peripheral non-small cell lung cancer.

Objective To explore the value of the corrected-size ratio(c-SR)value of intracranial volume computed tomography angiography(CTA)in predicting the risk of intracranial aneurysm rupture.Methods A total of 81 patients with aneurysms who had follow-up records were selected.Among them,39 patients with unruptured aneurysms and underwent regular follow-ups,while 9 patients with unruptured aneurysms opted for surgical intervention.Additionally,surgery was performed on 33 patients with ruptured aneu-rysms.Three-dimensional reconstruction of CTA was performed to obtain the morphological parameters of aneurysms.The initial size ratio(SR)value of aneurysm and the follow-up SR value or postoperative c-SR value were obtained.The changes in SR values of unruptured aneurysms were analyzed,the preoperative SR values and postoperative c-SR values of aneurysms were analyzed.Finally,the correla-tion between the intial SR value of unruptured aneurysms and the c-SR value of ruptured aneurysms was compared.Results No sig-nificant difference was observed between the initial SR value of unruptured aneurysms and the follow-up SR value(P>0.05).Simi-larly,no significant difference was noted between the preoperative SR value of unruptured aneurysms and the postoperative c-SR value(P>0.05).The preoperative SR value of ruptured aneurysms differed significantly from the postoperative c-SR value(P<0.05).There was a significant difference between the initial SR value of unruptured aneurysms and the postoperative c-SR value of ruptured aneurysms(P<0.05).The receiver operating characteristic(ROC)curve analysis was performed on the initial SR value of unrup-tured aneurysms and the postoperative c-SR value of ruptured aneurysms.The area under the curve(AUC)was 0.860 and the best cut-off value was 1.045.Conclusion Unruptured aneurysms remain stable for an extended period of time,exhibiting no significant change in morphological parameters.It can be concluded that surgical intervention does not affect the SR value of aneurysms.In the case of subarachnoid hemorrhage caused by ruptured aneurysms,the parent artery become thinner,then the preoperative SR value of ruptured aneurysms may be exaggerated,which results in the distortion of the preoperative SR value of ruptured aneurysms.However,the postoperative c-SR value is the true SR value before the rup-ture of aneurysms.

Objective To explore the value of the corrected-size ratio(c-SR)value of intracranial volume computed tomography angiography(CTA)in predicting the risk of intracranial aneurysm rupture.Methods A total of 81 patients with aneurysms who had follow-up records were selected.Among them,39 patients with unruptured aneurysms and underwent regular follow-ups,while 9 patients with unruptured aneurysms opted for surgical intervention.Additionally,surgery was performed on 33 patients with ruptured aneu-rysms.Three-dimensional reconstruction of CTA was performed to obtain the morphological parameters of aneurysms.The initial size ratio(SR)value of aneurysm and the follow-up SR value or postoperative c-SR value were obtained.The changes in SR values of unruptured aneurysms were analyzed,the preoperative SR values and postoperative c-SR values of aneurysms were analyzed.Finally,the correla-tion between the intial SR value of unruptured aneurysms and the c-SR value of ruptured aneurysms was compared.Results No sig-nificant difference was observed between the initial SR value of unruptured aneurysms and the follow-up SR value(P>0.05).Simi-larly,no significant difference was noted between the preoperative SR value of unruptured aneurysms and the postoperative c-SR value(P>0.05).The preoperative SR value of ruptured aneurysms differed significantly from the postoperative c-SR value(P<0.05).There was a significant difference between the initial SR value of unruptured aneurysms and the postoperative c-SR value of ruptured aneurysms(P<0.05).The receiver operating characteristic(ROC)curve analysis was performed on the initial SR value of unrup-tured aneurysms and the postoperative c-SR value of ruptured aneurysms.The area under the curve(AUC)was 0.860 and the best cut-off value was 1.045.Conclusion Unruptured aneurysms remain stable for an extended period of time,exhibiting no significant change in morphological parameters.It can be concluded that surgical intervention does not affect the SR value of aneurysms.In the case of subarachnoid hemorrhage caused by ruptured aneurysms,the parent artery become thinner,then the preoperative SR value of ruptured aneurysms may be exaggerated,which results in the distortion of the preoperative SR value of ruptured aneurysms.However,the postoperative c-SR value is the true SR value before the rup-ture of aneurysms.

Purpose: This study aimed to investigate the molecular characteristics associated with better prognosis in breast cancer. Methods: We performed targeted sequencing of 962 genes in 56 samples, categorizing them into long-term and short-term survival groups as well as chemotherapy-sensitive and chemotherapy-resistant groups for further analyses. Results: The results indicated that the tumor mutational burden values were significantly higher in the short-term survival and chemotherapy-resistant groups (p = 0.008 and p = 0.003, respectively). Somatic mutation analysis revealed that the mutation frequencies of BCL9L and WHSC1 were significantly lower in the long-term survival group than those in the short-term survival group (p = 0.029 and p = 0.024, respectively). CREB-regulated transcription coactivator 1 (CRTC1) mutations occurred significantly more frequently in the chemotherapy-resistant group (p = 0.027) and were associated with shorter progression-free survival (p = 0.036).Signature weighting analysis showed a significant increase in Signature.3, which is associated with homologous recombination repair deficiency in the chemotherapy-sensitive group (p = 0.045). Conversely, signatures related to effective DNA repair mechanisms, Signature.1 and Signature.15, were significantly reduced (p = 0.002 and p < 0.001, respectively). Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that gene mutations were significantly enriched in the JAK-STAT signaling pathway. Conclusion This study, through intergroup comparative analysis, found that immunotherapy (using programmed death 1/programmed death-ligand 1 inhibitors) may improve the prognosis of patients with short survival and chemotherapy resistance. Additionally, the study revealed that mutations in BCL9L and WHSC1 could serve as biomarkers for breast cancer prognosis, while CRTC1 mutations and Signature.3 could predict chemotherapy response. The study also found that the JAK-STAT pathway might be a potential therapeutic target for chemotherapy resistance. Therefore, this study identifies molecular characteristics that influence the prognosis of breast cancer patients, providing important theoretical insights for the development of personalized treatment strategies.