ObjectiveTo explore the effect and mechanism of Jianpi Xiaoai prescription （JPXA） in ameliorating the 5-fluorouracil （5-FU） resistance of colon cancer. MethodsA HCT116/5-FU resistant cell line was established. Different concentrations （10%， 15%， 20%） of JPXA-containing serum and drug-free serum were used for intervention， and 10% fetal bovine serum （10% FBS）， fibroblast growth factor receptor （FGFR） inhibitor （AZD4547）， and recombinant fibroblast growth factor 2 （FGF2） were set as the control groups. Sensitive HCT116 cells were used in the FGF2 group， while HCT116/5-FU cells were used in other groups. Drug resistance， the level of FGF2 in the cell culture medium， the mRNA level of FGF2 in cells， and the protein levels of FGF2/FGFR and phosphatidylinositol 3-kinase/protein kinase B （PI3K/Akt） were determined. The drug-resistant cells were transplanted into the axilla of nude mice to establish a tumor model. The modeled mice were allocated into model， JPXA （15 g·kg^-1）， 5-FU （0.02 g·kg^-1）， JPXA+5-FU （15 g·kg^-1+0.02 g·kg^-1）， AZD4547 （0.012 5 g·kg^-1）， and AZD4547+5-FU （0.012 5 g·kg^-1+0.02 g·kg^-1） groups. The tumor growth and the protein levels of FGF/FGFR and PI3K/Akt in each group were observed. ResultsThe survival rate of HCT116/5-FU cells decreased in all the JPXA groups with different concentrations. The cell survival rate was decreased most obviously in the 20% JPXA group. The level of FGF2 in the cell culture medium and the mRNA level of FGF2 in cells of each JXPA group decreased， and the decrease was the most significant in the 20% group （P<0.01）. HCT116/5-FU cells showed up-regulated protein levels of FGF2 and phosphorylated fibroblast growth factor receptor 1 （p-FGFR1）， but down-regulated protein level of FGFR1 （P<0.01）. JPXA down-regulated the expression of FGF2 and p-FGFR1 and up-regulated the expression of FGFR1 （P<0.05）. In addition， JPXA down-regulated the expression levels of phosphorylated protein kinase B （p-Akt） and phosphorylated mammalian target of rapamycin （p-mTOR）， while up-regulating the expression levels of Akt and Bcl-2-asociated death promoter （Bad） （P<0.05）. Animal experiments showed that the JPXA combined with 5-FU significantly inhibited the growth of drug-resistant tumors， reduced the protein levels of FGF2， p-FGFR1， phosphorylated phosphatidylinositol-3-kinase （p-PI3K）， p-Akt， and p-mTOR， and increased the expression of Bad. It indicated that JPXA can inhibit the FGF2/FGFR1 signaling in colon cancer and regulate PI3K/Akt and downstream signaling pathways. ConclusionJPXA can ameliorate the chemotherapy resistance of colon cancer through down-regulating FGF2 expression and inhibiting the activation of the PI3K/Akt signaling pathway.

ObjectiveTo understand the level of medical narrative competence among hospice care practitioners in Shanxi Province， explore its influencing factors， and provide references for carrying out targeted training and improving the medical narrative competence of the medical and nursing staff. MethodsUsing convenience sampling， a total of 102 medical and nursing staff from hospitals providing hospice care in Shanxi Province were recruited as the research subjects. Questionnaire surveys were conducted with the Self-Designed General Information Questionnaire and the Self-Rating Scale for Medical Narrative Competence as the research tools. Univariate analysis and multiple linear regression analysis were adopted to explore the level of medical narrative competence and its influencing factors among hospice care practitioners in Shanxi Province. ResultsThe total score of medical narrative competence among hospice care practitioners in Shanxi Province was （158.19±19.69）. The mean scores of all dimensions were ranked from the lowest to the highest as attention and listening， understanding and response， and reflection and representation. Univariate analysis demonstrated that working years in hospice care， daily communication frequency with patients， weekly communication duration， degree of colleague care， professional recognition， job satisfaction， and familiarity with narrative medicine constituted the influencing factors for the level of medical narrative competence among hospice care practitioners （all P<0.05）. Multiple linear regression analysis showed that working years in hospice care， degree of colleague care， and familiarity with narrative medicine had statistically significant effects on the medical narrative competence of hospice care practitioners （all P<0.05）. ConclusionAdministrators of hospice care should prioritize medical and nursing staff who lack familiarity with narrative medicine， have low degrees of colleague care， experience short working years， and possess low professional recognition and job satisfaction with hospice care work. Targeted training should be strengthened for these individuals to improve their medical narrative competence level， thereby enhancing the quality of hospice care services.

Objective To explore the efficacy of carotid color Doppler ultrasonography(CDU)combined with transcranial color Doppler ultra sonography(TCCD)in the diagnosis of carotid artery stenosis in elderly patients with acute cerebral infarction(ACI).Methods The clinical data of 306 elderly patients with suspected ACI who were admitted to the Second Affiliated Hospital of Air Force Medical University,and received CDU and TCCD from May 2021 to May 2023 were retrospectively analyzed.The result of digital subtraction angiography(DSA)was taken as the gold standard.The patients were assigned to cerebral infarction group or non-cerebral infarction group according to the gold standard.CDU parameters(peak systolic velocity[PSV]and end diastolic velocity[EDV]of the common carotid artery])and TCCD parameters(resistance index[RI]and pulsatility index[PI]of posterior cerebral artery[PCA])were compared between the two groups.According to the degree of carotid artery stenosis,ACI patients were assigned to mild stenosis subgroup,moderate stenosis subgroup or severe stenosis subgroup.CDU parameters(PSV,EDV)and TCCD parameters(RI,PI)were compared among subgroups.The efficacy of related parameters in the diagnosis of ACI and the degree of carotid artery stenosis was evaluated by receiver operating characteristic(ROC)curve.Results There were 155 patients(50.65%)in the cerebral infarction group and 151 patients(49.35%)in the non-cerebral infarction group.The cerebral infarction group had higher EDV,PSV and RI and lower PI than the non-cerebral infarction group(P＜0.05).The areas under curve(AUC)values of ROC curves of EDV,PSV,RI,PI and their combination in the diagnosis of ACI were 0.577,0.563,0.644,0.643 and 0.726(P＜0.05).The levels of EDV,PSV and RI in the subgroups were as follows:severe stenosis subgroup＞moderate stenosis subgroup＞mild stenosis subgroup,and the change trend of PI was shown as mild stenosis subgroup＞moderate stenosis subgroup＞severe stenosis subgroup(P＜0.05).The AUC values of ROC curves of EDV,PSV,RI,PI and their combination in evaluating the degree of carotid artery stenosis in ACI patients were 0.767,0.802,0.845,0.846 and 0.952(P＜0.05).Conclusion Carotid CDU combined with TCCD can effectively diagnose ACI and carotid artery stenosis,and has high application value for the evaluation of carotid artery stenosis in elderly ACI patients.

Objective This study aims to develop a guideline for assessing and maintaining intrinsic capacity in older adults,offer recommendations to professionals regarding these assessments,and encourage the implementation of evidence-based clinical practices across various settings,including communities,hospitals,nursing homes,and other geriatric care environments.Methods An evidence-based approach guided the collection of questions through a lit-erature review.Preliminary recommendations were developed through a systematic search of domestic and interna-tional guideline networks,professional association websites,and comprehensive databases.Subsequently,the recom-mendations were revised,and the consensus was achieved through a round of expert consensus meetings and 3 rounds of expert correspondence,culminating in the formation of the guidelines.Results The developed guideline encompasses 2 aspects and 5 dimensions of assessment and maintenance,comprising a total of 28 questions and 39 recommendations.Specifically,6 questions and 9 recommendations were formulated for the cognitive dimension,5 questions and 7 recommendations for the locomotion dimension,6 questions and 7 recommendations for the vitality dimension,6 questions and 9 recommendations for the psychological dimension,and 5 questions and 7 recommenda-tions for the sensory dimension.Among these,34 are classified as strong recommendations,while 5 are categorized as weak recommendations.Conclusion The guideline offers scientifically robust,acceptable,and comprehensible rec-ommendations that equip the professionals with a foundation for decision-making aiming at preserving the intrinsic capacity of older adults.

Objective:To explore the latent profiles of work withdrawal behaviors of junior nurses and their relationship with workplace social capital.Methods:Using the convenience sampling method, from July to August 2023, 348 junior nurses from five Class Ⅲ and seven ClassⅡ public hospitals in Ningxia Hui Autonomous Region were selected as the research objects. They were investigated with a General Information Questionnaire, the Work Withdrawal Behavior Scale, and the Workplace Social Capital Scale. Latent profile analysis was used to explore the categories of work withdrawal behaviors of junior nurses, and the differences in workplace social capital levels among junior nurses of different categories were compared.Results:A total of 348 questionnaires were recovered online in this survey, and 342 questionnaires were valid, with a valid rate of 98.3%. The work withdrawal behaviors of 342 junior nurses could be divided into three latent profiles, including 246 junior nurses (71.9%) in the low psychological-low behavioral withdrawal group, 81 junior nurses (23.7%) in the high psychological-low behavioral withdrawal group, and 15 junior nurses (4.4%) in the high psychological-high behavioral withdrawal group. The results of the unordered multinomial Logistic regression analysis showed that gender, whether they love nursing work or not, the average number of night shifts per month, the workplace social capital, and working years were the influencing factors of the work withdrawal behaviors of junior nurses ( P<0.05) . There were statistically significant differences in the workplace social capital among the three categories of junior nurses ( H=83.82, P<0.01) . Conclusions:There are three categories of work withdrawal behaviors among junior nurses, and there are differences in workplace social capital among junior nurses of different categories. Nursing managers should intervene and support junior nurses according to the characteristics of different categories to improve their workplace social capital levels.

Objective This study aims to develop a guideline for assessing and maintaining intrinsic capacity in older adults,offer recommendations to professionals regarding these assessments,and encourage the implementation of evidence-based clinical practices across various settings,including communities,hospitals,nursing homes,and other geriatric care environments.Methods An evidence-based approach guided the collection of questions through a lit-erature review.Preliminary recommendations were developed through a systematic search of domestic and interna-tional guideline networks,professional association websites,and comprehensive databases.Subsequently,the recom-mendations were revised,and the consensus was achieved through a round of expert consensus meetings and 3 rounds of expert correspondence,culminating in the formation of the guidelines.Results The developed guideline encompasses 2 aspects and 5 dimensions of assessment and maintenance,comprising a total of 28 questions and 39 recommendations.Specifically,6 questions and 9 recommendations were formulated for the cognitive dimension,5 questions and 7 recommendations for the locomotion dimension,6 questions and 7 recommendations for the vitality dimension,6 questions and 9 recommendations for the psychological dimension,and 5 questions and 7 recommenda-tions for the sensory dimension.Among these,34 are classified as strong recommendations,while 5 are categorized as weak recommendations.Conclusion The guideline offers scientifically robust,acceptable,and comprehensible rec-ommendations that equip the professionals with a foundation for decision-making aiming at preserving the intrinsic capacity of older adults.

Objective To investigate the independent risk factors for hypertrophic cardiomyopathy(HCM)with atrial fibrillation(AF)based on cardiac magnetic resonance(CMR)using logistic regression analysis.Methods We reviewed 80 patients diagnosed with HCM at our hospital between January 2022 and December 2023.Statistical differences in the CMR and clinical parameters between patients with HCM with and without AF were compared.The cut-off value of HCM with AF was obtained by receiver operator characteristic curve,and binary logistic regression analysis was performed on statistically significant variables to identify independent risk factors for HCM in patients with AF.Results Univariate analysis showed that there were significant differences in the type of left ventricular late gadolinium enhancement(LGE),native T1 mapping value of the left ventricular myocardium without LGE,left atrial anteroposterior diameter,number of left ventricular LGE myocardial segments,and LGE in the basal anterior interventricular septum,mid anterior interventricular septum,and mid inferior interventricular septum were between HCM with and without AF(P＜0.05).Multivariate analysis revealed that there were significant differences in left ventricular subendocardial LGE(P=0.048,OR=5.3,95％CI:0.642-43.311),native T1 mapping value of left ventricular myocardium without LGE≥1 247 ms(P=0.03,OR=5.7,95％CI:0.734-27.41),and left atrium anteroposterior diameter 50 mm(P=0.013,OR=6.9,95％CI:1.489-31.538)between HCM with and without AF.Conclusion Left ventricular subendocardial LGE,native T1 mapping value≥1 247 ms,and left atrium anteroposterior diameter≥50 mm are independent risk factors for HCM with AF.

Objective To investigate the independent risk factors for hypertrophic cardiomyopathy(HCM)with atrial fibrillation(AF)based on cardiac magnetic resonance(CMR)using logistic regression analysis.Methods We reviewed 80 patients diagnosed with HCM at our hospital between January 2022 and December 2023.Statistical differences in the CMR and clinical parameters between patients with HCM with and without AF were compared.The cut-off value of HCM with AF was obtained by receiver operator characteristic curve,and binary logistic regression analysis was performed on statistically significant variables to identify independent risk factors for HCM in patients with AF.Results Univariate analysis showed that there were significant differences in the type of left ventricular late gadolinium enhancement(LGE),native T1 mapping value of the left ventricular myocardium without LGE,left atrial anteroposterior diameter,number of left ventricular LGE myocardial segments,and LGE in the basal anterior interventricular septum,mid anterior interventricular septum,and mid inferior interventricular septum were between HCM with and without AF(P＜0.05).Multivariate analysis revealed that there were significant differences in left ventricular subendocardial LGE(P=0.048,OR=5.3,95％CI:0.642-43.311),native T1 mapping value of left ventricular myocardium without LGE≥1 247 ms(P=0.03,OR=5.7,95％CI:0.734-27.41),and left atrium anteroposterior diameter 50 mm(P=0.013,OR=6.9,95％CI:1.489-31.538)between HCM with and without AF.Conclusion Left ventricular subendocardial LGE,native T1 mapping value≥1 247 ms,and left atrium anteroposterior diameter≥50 mm are independent risk factors for HCM with AF.

Objective:To explore the latent profiles of work withdrawal behaviors of junior nurses and their relationship with workplace social capital.Methods:Using the convenience sampling method, from July to August 2023, 348 junior nurses from five Class Ⅲ and seven ClassⅡ public hospitals in Ningxia Hui Autonomous Region were selected as the research objects. They were investigated with a General Information Questionnaire, the Work Withdrawal Behavior Scale, and the Workplace Social Capital Scale. Latent profile analysis was used to explore the categories of work withdrawal behaviors of junior nurses, and the differences in workplace social capital levels among junior nurses of different categories were compared.Results:A total of 348 questionnaires were recovered online in this survey, and 342 questionnaires were valid, with a valid rate of 98.3%. The work withdrawal behaviors of 342 junior nurses could be divided into three latent profiles, including 246 junior nurses (71.9%) in the low psychological-low behavioral withdrawal group, 81 junior nurses (23.7%) in the high psychological-low behavioral withdrawal group, and 15 junior nurses (4.4%) in the high psychological-high behavioral withdrawal group. The results of the unordered multinomial Logistic regression analysis showed that gender, whether they love nursing work or not, the average number of night shifts per month, the workplace social capital, and working years were the influencing factors of the work withdrawal behaviors of junior nurses ( P<0.05) . There were statistically significant differences in the workplace social capital among the three categories of junior nurses ( H=83.82, P<0.01) . Conclusions:There are three categories of work withdrawal behaviors among junior nurses, and there are differences in workplace social capital among junior nurses of different categories. Nursing managers should intervene and support junior nurses according to the characteristics of different categories to improve their workplace social capital levels.

Objective To identify the pathogenic bacteria such as Staphylococcus aureus and Enterococcus faecalis in bloodstream infec-tions with high confidence based on three deep learning models such as GoogleNet,ResNet101,and Vgg19,compare the performance and classification ability of these models,and explore the feasibility of applying the deep learning models for the rapid identification of pathogenic bacteria in bloodstream infections.Methods The preprocessed Gram-stained bacterial images,including 1 682 images for Staphylococcus aureus and 1 723 for Enterococcus faecalis,and 688 blank control microscopic images were input into three models for training and validation,respectively.Among them,1 344 images for Staphylococcus aureus,1 376 for Enterococcus faecalis,and 544 blank control images were used for training,and the remaining images were used for validation.The model with the best performance was identified according to the classification parameters between the models.Results The ResNet101 model had the lowest cross-en-tropy loss value(0.008 710 3),the largest Epoch value(93),and the highest accuracy rate(99％)for identifying the three types of validation set images.The cross-entropy loss value,Epoch value,and accuracy rate of the GoogleNet model were 0.063 89,86 and 98.6％,respectively,for identifying the three types of validation set images.Those of the Vgg19 model were 0.035 682,86 and 97.7％,respectively.Conclusion The ResNet101 model has the best performance in the classification of three kinds of images.The deep learning model may accurately,reliably and rapidly identify the Gram-stained images of pathogenic bacteria such as Staphylococcus aureus and Enterococcus faecalis in bloodstream infections.