BackgroundIndividuals with schizophrenia are prone to higher rates of hospital readmission， presenting significant clinical challenges and imposing considerable social burdens within the mental health domain. In recent years， various risk prediction models have been developed to forecast readmission in patients with schizophrenia and support clinical decision-making， but their predictive performance and clinical applicability require comprehensive evaluation. ObjectiveTo systematically evaluate the risk prediction models for readmission in patients with schizophrenia， so as to provide insights for the development of high-performance and highly applicable readmission risk prediction models for patients with schizophrenia. MethodsOn July 5， 2025， a systematic literature search was conducted across multiple electronic databases， including PubMed， Embase， Cochrane Library， Web of Science， CINAHL， CNKI， China Biomedical Literature Database， Wanfang Database， and VIP Database， to identify risk prediction models for readmission in patients with schizophrenia. The search period was from the establishment of the databases to July 1， 2025. Two researchers independently performed literature screening， data extraction， risk of bias assessment， and applicability assessment. ResultsA total of 9 studies were included in this review， encompassing 18 risk prediction models for readmission in patients with schizophrenia. Among them， 4 models reported the area under the receiver operating characteristic （ROC） curve （AUC）， ranging from 0.734 to 0.820， 16 models provided AUC values of 0.642–0.879 for internal validation， and 1 model demonstrated an AUC of 0.841 for external validation. Key predictors included disease duration and the concomitant therapy of antipsychotic medications. The risk of bias was assessed as "high" in all included studies. ConclusionThe development of risk prediction models for readmission in patients with schizophrenia remains in an exploratory stage. Although the model exhibits favorable predictive performance， it is associated with a high risk of bias and insufficient performance evaluation.

OBJECTIVE To investigate the absorption characteristics and tissue distribution of silybin （Sy） nanocrystals prepared by two methods in different intestinal segments of rats. METHODS Sy nanocrystals （i.e. Sy-NS-G and Sy-NS-F） with comparable particle sizes were prepared using high-pressure homogenization and anti-solvent precipitation methods， respectively. Rats were randomly divided into three groups： Sy raw drug group， Sy-NS-G group， and Sy-NS-F group. Each group was further divided into three subgroups with low， medium， and high （60， 120， 180 μg/mL） mass concentrations （calculated based on Sy）， with 3 rats in each subgroup. The absorption rate constant （Ka） and apparent absorption coefficient （Papp） of Sy raw drug， Sy-NS-G and Sy-NS-F in different intestinal segments were investigated by using the in vivo one-way intestinal perfusion experiment. Additionally， the rats were divided into three groups: Sy raw drug group， Sy-NS-G group， and Sy-NS-F group， with 20 rats in each group. Rats in each group were administered a single intragastric dose of 50 mg/kg （calculated based on Sy）. They were sacrificed at 0.3， 1， 4， 10， and 24 hours post-administration respectively， to investigate the tissue distribution of Sy raw drug， Sy- NS-G， and Sy-NS-F in the heart， liver， spleen， lungs， kidneys， brain and intestines. RESULTS In duodenum and jejunum， the Ka and Papp of the nanocrystals prepared by the two methods remained unchanged with the increase of Sy concentration， and there was no significant difference （P＞0.05）； the absorption of Sy-NS-F in the duodenum was greater than that of Sy-NS-G； the absorption sites of Sy-NS-G and Sy raw drug were mainly in the ileum， while those of Sy-NS-F were mainly in the duodenum and ileum. The concentrations of Sy-NS-G and Sy-NS-F in different tissues of rats were different； Sy-NS-G peaked in most tissues at 1 h， and the distribution concentration was as follows： intestine＞spleen＞heart＞lungs＞liver≈brain＞kidneys. Sy-NS-F reached its peak at 1 h， and the distribution concentration was in the order of intestine＞spleen＞kidney＞lung＞heart≈liver＞brain. CONCLUSIONS The absorption mode of Sy nanocrystals in the duodenum and ileum is mainly passive diffusion. In the duodenum， the absorption of Sy-NS-F is greater than that of Sy-NS-G； there are significant differences in the tissue distribution of Sy-NS-G and Sy-NS-F in rats.

Diabetic neuropathy(DN)is a prevalent chronic complication of diabetes,characterized by a com-plex pathogenesis involving various cell types and molecular pathways.Research indicates that microglia,serving as the innate immune cells of the central nervous system,are pivotal in the development of DN.In recent years,with the in-depth understanding of the pathogenesis of DN,targeting microglia polarization has become a new research hotspot.This article provides an overview of current research on the regulatory mechanisms of microglia polarization,the impact of mi-croglia polarization on DN,and treatment strategies that target microglia polarization to improve DN.The objective is to elucidate the pivotal role of microglia in the pathogenesis of DN,and assess the efficacy and constraints of existing and emerging treatment methods targeting microglia,in order to offer a fresh perspective for future research and clinical treat-ment of DN.

Diabetic neuropathy(DN)is a prevalent chronic complication of diabetes,characterized by a com-plex pathogenesis involving various cell types and molecular pathways.Research indicates that microglia,serving as the innate immune cells of the central nervous system,are pivotal in the development of DN.In recent years,with the in-depth understanding of the pathogenesis of DN,targeting microglia polarization has become a new research hotspot.This article provides an overview of current research on the regulatory mechanisms of microglia polarization,the impact of mi-croglia polarization on DN,and treatment strategies that target microglia polarization to improve DN.The objective is to elucidate the pivotal role of microglia in the pathogenesis of DN,and assess the efficacy and constraints of existing and emerging treatment methods targeting microglia,in order to offer a fresh perspective for future research and clinical treat-ment of DN.

BACKGROUND:Total hip and knee arthroplasty is widely used in the elderly population,but there is a lack of accurate prediction methods for unplanned readmission and postoperative complications. OBJECTIVE:To investigate the effect of the Rothman index on unplanned readmission and complications in elderly patients undergoing total hip and knee arthroplasty. METHODS:A total of 153 patients who underwent elective total hip and knee arthroplasty from December 2020 to December 2022 in Ward Area One,Department of Orthopedics,The First People's Hospital of Zunyi were selected as the study subjects.According to whether they were unplanned readmission within 90 days after discharge,they were divided into a readmission group(n=21)and a non-readmission group(n=132).The general data of all patients were collected through the electronic medical record system,including gender,age,body mass index,diabetes mellitus,hypertension,and surgical joint type.The Rothman index was evaluated according to the literature.Postoperative complications were counted. RESULTS AND CONCLUSION:(1)There was no significant difference in gender,body mass index,surgical joint type,and length of hospital stay between the readmission group and the non-readmission group(P>0.05).There were significant differences in the number of comorbidities,age,and Rothman score between the two groups(P<0.05).(2)The results of multivariate Logistics regression analysis showed that the number of comorbidities,age,and Rothman score were independent influencing factors for readmission 90 days after total hip and knee arthroplasty in elderly patients with hip and knee diseases(P<0.05).(3)The results of receiver operating characteristic curve analysis exhibited that the area under the curve of the Rothman index for predicting readmission 90 days after total hip and knee arthroplasty was 0.824;the sensitivity was 80.85%;the specificity was 78.85%;the maximum Youden index was 0.597,and the optimal cutoff value was 46 points.(4)The incidence of total complications in elderly patients with Rothman<46 was higher than that in elderly patients with Rothman≥46(P<0.05).(5)It is concluded that the Rothman index can accurately predict unplanned readmission after total hip and knee arthroplasty in elderly patients with hip and knee joint diseases.Simultaneously,patients with Rothman index of less than 46 points have a higher overall risk of complications and poor joint recovery,which can be used to improve postoperative management of patients in clinical practice.

Objective:To analyze the learning styles of intensive care specialist nurses and to explore the application effects of the teaching method based on Kolb's learning style theory in intensive care specialist nurse training.Methods:Nurses who participated in the intensive care specialist nurse training in Chongqing during 2022 and 2023 were selected as the research subjects. Among them, the 49 nurses from 2022 were assigned to the control group, while the 50 nurses from 2023 were assigned to the experimental group. Before the training, the Kolb's Learning Style Scale was used to investigate the two groups of nurses. A new training method based on different learning styles was used in the experimental group, while the conventional training method was used in the control group. The theory, clinical practice, and satisfaction scores were compared between the two groups after training. SPSS 21.0 was used for the t-test, chi-square test, or Fisher's exact test. Results:The learning styles of the two groups were similar, with the highest proportion observed in divergent type, followed by assimilation type, and the lowest proportions in convergent type and compliant type, albeit without significant differences. The experimental group showed higher scores of theory, clinical practice, and satisfaction compared to the control group [(77.20±8.34) vs. (80.38±5.50), t=-2.24, P=0.027; (93.73±1.83) vs. (95.31±1.07), t=-5.20, P<0.001; (20.57±2.09) vs. (22.62±1.61), t=-5.46, P<0.001] Conclusion:The teaching method based on Kolb's learning style theory can improve the theory and clinical practice scores and the overall satisfaction of nurses who participate in the intensive care specialist nurse training.

Mastoparans (MP), a class of α-helix cationic insect-derived antimicrobial peptides, have a broad spectrum of biological activities including inhibiting bacteria, fungi, viruses, and parasites. Amino acid substitution, peptide modification, peptide chain cyclization, and dosage form modification can enhance the biological activities and target and reduce the toxicity of mastoparans. In this review, we summarize the structure, biological function and modification methods of mastoparans, and prospect the development of antibacterial drugs based on mastoparans, so as to provide reference for the research of mastoparans as a new antibacterial drug.
Intercellular Signaling Peptides and Proteins/pharmacology* ; Peptides/chemistry* ; Anti-Bacterial Agents/chemistry* ; Wasp Venoms/chemistry* ; Animals

Optimization efforts were devoted to discover novel PDE10A inhibitors in order to improve solubility and pharmacokinetics properties for a long-term therapy against pulmonary arterial hypertension (PAH) starting from the previously synthesized inhibitor

Objective To analyze the possible risk factors of IVIG non-response of Kawasaki disease (KD),Shanghai Children's Hospital and Shanghai Junze Software develop an research platform,which is based on E-Science model.Through the mathematical model by integrating the risk factors to explore the method of effective prediction for IVIG non-response,and to provide the clinical basis for timely and effective treatment and prognosis of the disease.Methods The data of KD children who were hospitalized in Shanghai Children's Hospital from January 2013 to November 2016 were included.The indexes included gender,age,time of IVIG treatment,and laboratory examinations.The multivariate logistic regression was used to analyze the influencing factors of IVIG non-response.The indexes in the model were deduced according to the independent variables of the logistic regression equation.The ROC curve and the area under the curve were calculated for the new prediction model.The sensitivity and specificity of the new prediction model were calculated according to the cutoff value.Finally,the new model was compared with the Kobayashi and Egami scoring model.Results The levels of CRP,NLR,LDH,ALB and FDP in children with KD were influencing factors for IVIG nonresponse (P ＜ 0.05).According to the logistic regression equation,the sensitivity and specificity of the model used to predict IVIG non-response were 69.7％ and 80.4％,respectively,and the area under the ROC curve was 0.825 (95％ CI:0.769-0.882).Kobayashi and Egami scoring models were tested,the sensitivity and specificity of the new scoring system were better than previous ones.Condusion The scoring model established in this study has a good effect in predicting IVIG non-response in KD patients and could be used in clinical practice,and it is worthy to be validated and adjusted by large-scale data.

Objective To investigate the acute phase expression of serum cytokines in children with Kawasaki disease (KD) and its association with coronary artery lesions (CALs). Methods Expression of 13 cytokines in serum of 104 KD patients including 11 cases with CALs and 74 febrile control cases admitted to the hospital from October 2016 to March 2017 were retrospectively analyzed. Results Interleukin (IL)-8, IL-1, IL-2, IL-6, IL-10, IL-17A, IL-18, tumor necrotic factor-α and SCD25 (IL-2R) were declined significantly after intravenous immunoglobulin administration (IVIG) in KD patients (all P<0.05). Compared with the fever control group, Pre-IVIG, an IL-17A level ≥ 0.155 pg/mL had a sensitivity of 50% and 93.2% specificity for predicting KD; IL-18 level ≤ 15.43 pg/mL had a sensitivity of 71.2%, and the specificity was 54.1%; SCD25 (IL-2R) ≥ 29475.29 pg/mL had a 65.4% sensitivity and 81.1% specificity for predicting KD. Before IVIG treatment, the level of IL-10 was significantly lower in KD patients with CALs than in those without CALs. Conclusions Determination of various cytokines profile may be helpful for predicting the disease prognosis and targeting treatment strategies in patients with KD.