Objective:To compare the short-term clinical outcomes of robotic gastrectomy (RG) and laparoscopic gastrectomy (LG) in treating gastric cancer, as well as the overall 5-year's survival rate.Methods:In this retrospective cohort study, 874 patients undergoing minimally invasive gastrectomy were recruited from Jan 2016 to Jan 2020 (LG: n=719; RG: n=155). A one-to-one propensity score matching analysis was applied to minimize the selection bias due to confounding factors, yielding 150 patients in each of the RG and LG groups. After matching, the short-term outcomes and 5-year overall survival were compared in the two groups. Results:The propensity score matching cohort analysis showed a similar 5-year overall survival between RG and LG groups ( P=0.235). Concerning the short-term outcomes, the RG compared to LG resulted in lower blood loss ( P=0.011), lower postoperative complications ( P=0.001), less postoperative pain ( P=0.014), earlier initiation of soft diet ( P=0.010), shorter hospital stay ( P=0.011), but higher hospitalization expenses ( P=0.004). Conclusions:RG had a similar overall survival outcome compared to LG while offering better safety and efficacy in terms of less blood loss, lower surgery complications, faster recovery, and less postoperative pain. Higher hospital expenses were the main disadvantage of RG that could limit its application.

Objective To analyze the potential biological relationship between Alzheimer disease(AD)and chronic periodontitis(CP)by bioinformatics.Methods We analyzed two datasets of AD and CP from the Gene Expression Omnibus database,and differentially expressed genes(DEGs)were identified from these datasets.Weighted gene co-expression network analysis(WGCNA)was used to identify the most relevant modules.Functional enrichment analysis of shared genes was performed,and a protein-protein interaction(PPI)network was constructed.MCODE was used to identify key modules,and machine learning was used to discover key genes.In addition,Gene Set Enrichment Analysis(GSEA)and CIBERSORT were used to investigate KLRB1-related molecular pathways and immune cell distribu-tion.Results The study identified 18 genes common to both AD and CP.MCODE analysis revealed five pivotal genes,machine learning identified 13 genes for AD,eight for CP,and KLRB1 was determined as a common gene for AD and CP.GSEA demonstrated the intricate involvement of these genes in disease-related pathways.Immunocellular analysis underscored a significant association between KLRB1 and γδT cells.Conclusion This research highlighted KLRB1 as a key gene for AD and CP,providing new insights into their molecular linkages.

Objective:To explore the latent categories of hospice care attitudes among nurses in a geriatric hospital and to analyze the characteristic differences among these categories.Methods:A total of 434 in-service nurses from Beijing Geriatric Hospital were selected by convenience sampling from April to May 2024. Data were collected using the general information questionnaire, the Chinese version of the Frommelt Attitude Toward Care of the Dying Scale Form B, the Self-Efficacy in Coping with Death Scale, and the General Well Being Schedule. Latent profile analysis was used to identify potential categories of hospice care attitudes, and Logistic regression analysis was conducted to examine influencing factors.Results:A total of 434 questionnaires were distributed, and 431 valid responses were received, with a valid response rate of 99.31% (431/434). The hospice care attitudes of the 431 nurses were categorized into two latent profiles: "negative attitude-low communication willingness type" (55.45%, 239/431) and "positive attitude-high caring type" (44.55%, 192/431). Logistic regression analysis showed that participating in palliative care continuing education within the past year, having discussed death with patients, perceiving difficulties in caring for dying patients, self-efficacy in coping with death, and subjective well-being were statistically significant influencing factors of the latent categories of hospice care attitudes ( P<0.05) . Conclusions:Hospice care attitudes among nurses in geriatric hospitals can be classified into two latent categories: "negative attitude-low communication willingness type" and "positive attitude-high caring type". These are influenced by many factors. Nursing administrators should develop targeted interventions to support nurses in coping with stressors effectively and improving the quality of life of terminally ill patients.

Objective To analyze the potential biological relationship between Alzheimer disease(AD)and chronic periodontitis(CP)by bioinformatics.Methods We analyzed two datasets of AD and CP from the Gene Expression Omnibus database,and differentially expressed genes(DEGs)were identified from these datasets.Weighted gene co-expression network analysis(WGCNA)was used to identify the most relevant modules.Functional enrichment analysis of shared genes was performed,and a protein-protein interaction(PPI)network was constructed.MCODE was used to identify key modules,and machine learning was used to discover key genes.In addition,Gene Set Enrichment Analysis(GSEA)and CIBERSORT were used to investigate KLRB1-related molecular pathways and immune cell distribu-tion.Results The study identified 18 genes common to both AD and CP.MCODE analysis revealed five pivotal genes,machine learning identified 13 genes for AD,eight for CP,and KLRB1 was determined as a common gene for AD and CP.GSEA demonstrated the intricate involvement of these genes in disease-related pathways.Immunocellular analysis underscored a significant association between KLRB1 and γδT cells.Conclusion This research highlighted KLRB1 as a key gene for AD and CP,providing new insights into their molecular linkages.

Objective:To explore the latent categories of hospice care attitudes among nurses in a geriatric hospital and to analyze the characteristic differences among these categories.Methods:A total of 434 in-service nurses from Beijing Geriatric Hospital were selected by convenience sampling from April to May 2024. Data were collected using the general information questionnaire, the Chinese version of the Frommelt Attitude Toward Care of the Dying Scale Form B, the Self-Efficacy in Coping with Death Scale, and the General Well Being Schedule. Latent profile analysis was used to identify potential categories of hospice care attitudes, and Logistic regression analysis was conducted to examine influencing factors.Results:A total of 434 questionnaires were distributed, and 431 valid responses were received, with a valid response rate of 99.31% (431/434). The hospice care attitudes of the 431 nurses were categorized into two latent profiles: "negative attitude-low communication willingness type" (55.45%, 239/431) and "positive attitude-high caring type" (44.55%, 192/431). Logistic regression analysis showed that participating in palliative care continuing education within the past year, having discussed death with patients, perceiving difficulties in caring for dying patients, self-efficacy in coping with death, and subjective well-being were statistically significant influencing factors of the latent categories of hospice care attitudes ( P<0.05) . Conclusions:Hospice care attitudes among nurses in geriatric hospitals can be classified into two latent categories: "negative attitude-low communication willingness type" and "positive attitude-high caring type". These are influenced by many factors. Nursing administrators should develop targeted interventions to support nurses in coping with stressors effectively and improving the quality of life of terminally ill patients.

Objective:To compare the short-term clinical outcomes of robotic gastrectomy (RG) and laparoscopic gastrectomy (LG) in treating gastric cancer, as well as the overall 5-year's survival rate.Methods:In this retrospective cohort study, 874 patients undergoing minimally invasive gastrectomy were recruited from Jan 2016 to Jan 2020 (LG: n=719; RG: n=155). A one-to-one propensity score matching analysis was applied to minimize the selection bias due to confounding factors, yielding 150 patients in each of the RG and LG groups. After matching, the short-term outcomes and 5-year overall survival were compared in the two groups. Results:The propensity score matching cohort analysis showed a similar 5-year overall survival between RG and LG groups ( P=0.235). Concerning the short-term outcomes, the RG compared to LG resulted in lower blood loss ( P=0.011), lower postoperative complications ( P=0.001), less postoperative pain ( P=0.014), earlier initiation of soft diet ( P=0.010), shorter hospital stay ( P=0.011), but higher hospitalization expenses ( P=0.004). Conclusions:RG had a similar overall survival outcome compared to LG while offering better safety and efficacy in terms of less blood loss, lower surgery complications, faster recovery, and less postoperative pain. Higher hospital expenses were the main disadvantage of RG that could limit its application.

Objective: To provide the mechanism-based pharmacotherapy of the Huatan Qushi formula (HTQS formula), for the health management and treatment of non-alcoholic fatty liver disease (NAFLD). Methods: A rat model of NAFLD was employed to examine the efficacy and safety of the HTQS formula. In vivo active components and potential mechanisms of the HTQS formula were identified using UPLC‒MS/MS combined with network pharmacology. The influence of the HTQS formula on the dominating proteins in PI3K/Akt pathway was validated in vivo using western blot. Finally, 16S rRNA sequencing of the gut microbiome was conducted followed by targeted metabolomics detecting fecal short-chain fatty acids (SCFAs) and bile acids to determine the impact of the HTQS formula on gut microbiota. Results: The HTQS formula reduced weight gain and hepatic steatosis in NAFLD rats and decreased serum total cholesterol (TC), triglycerides, blood glucose, and insulin resistance (IR) without causing liver or kidney injury. We detected 28 components using UPLC‒MS/MS and identified 439 shared targets between NAFLD and the HTQS formula. Primarily, we focused on the PI3K/Akt signaling pathway based on protein‒protein interaction network analysis. We validated that the HTQS formula inhibited liver steatosis and inflammation by increasing the phosphorylation levels of PI3K, AKT, P27, GSK3β in the PI3K/Akt signaling pathway. 16S rRNA sequencing revealed that the HTQS formula reduced the abundance of the genus Family_XIII_AD3011_group, which was positively correlated with IR and taurodeoxycholic acid. In addition, Lachnospiraceae_UCG_010 inversely correlated with TC and five bile acids, which could be essential to the therapeutic effect of the HTQS formula against NAFLD. Conclusions The HTQS formula proved to be an effective pharmacotherapy for NAFLD without causing liver or kidney injury. Multiple potent components of the HTQS formula could alleviate liver steatosis and lipid metabolism disorder by modulating the PI3K/Akt signaling pathway and restoring gut microbiota composition.

Glomerular hyperfiltration(GHF), as an early manifestation of prediabetes and diabetic kidney disease, occurs mainly by the mechanism of glomerular-tubular feedback and hemodynamic alterations, and the risk of hyperfiltration can be elevated in younger patients, shorter duration of the disease, poor glycemic control, and high-protein, low-salt diet. Currently, there is no recognized standard for the definition of GHF, GHF lacks typical clinical manifestations, imaging diagnostic criteria are unclear, and GHF-related laboratory markers need to be further studied. Hyperfiltration, if not diagnosed and intervened in time, can accelerate the damage of nephron and the rate of nephropathy progression, and increase the risk of complications and death. Sodium-glucose cotransporter 2 inhibitor(SGLT2i), glucagon-like peptide-1 receptor agonist(GLP-1RA)and so on can effectively reverse the hyperfiltration state. Clinical attention should be paid to the diagnosis of diabetic hyperfiltration and the prevention of its poor prognosis.

Glomerular hyperfiltration(GHF), as an early manifestation of prediabetes and diabetic kidney disease, occurs mainly by the mechanism of glomerular-tubular feedback and hemodynamic alterations, and the risk of hyperfiltration can be elevated in younger patients, shorter duration of the disease, poor glycemic control, and high-protein, low-salt diet. Currently, there is no recognized standard for the definition of GHF, GHF lacks typical clinical manifestations, imaging diagnostic criteria are unclear, and GHF-related laboratory markers need to be further studied. Hyperfiltration, if not diagnosed and intervened in time, can accelerate the damage of nephron and the rate of nephropathy progression, and increase the risk of complications and death. Sodium-glucose cotransporter 2 inhibitor(SGLT2i), glucagon-like peptide-1 receptor agonist(GLP-1RA)and so on can effectively reverse the hyperfiltration state. Clinical attention should be paid to the diagnosis of diabetic hyperfiltration and the prevention of its poor prognosis.

Objective With the complex evolution of the social system,patients experience varying degrees of delay in obtaining medical and health services under the combined drive of internal and external environment.In order to alleviate the dilemma of seeking medical treatment in crisis situations,it analyzes the causes of the public's use behavior of Internet medical and health services after delayed medical treatment and the ways to improve it.Methods It employs the method of QCA analysis to explore the crisis management strategies adopted by 183 public.Based on Anderson medical treatment model as the theoretical guidance,conditional variables were constructed.Through deductive logic,it analyzes the complex linkage effect of seven variables,including accessibility level,traumatic life events,panic mood and satisfaction with Internet medical use,on the use of Internet medical services.Results it found that panic has a decisive role in promoting the public's use of Internet medical services.Five behavioural models of Internet medical use are proposed to reveal the potential driving mechanism of the public's adoption of Internet medical strategies.Conclusion By analyzing the synergistic effects between variables,it proposes comprehensive strategies,providing a new perspective for public health emergency management,and offering empirical evidence for policymakers to optimize smart medical services.