Objective To analyze the international research hotspots and development trends of social work intervention in chronic disease management,providing reference for domestic research on social work intervention in chronic disease manage-ment.Methods The research literature was retrieve on the core collection of Web of Science,articles published from the estab-lishment of the database from 2000 to 2024.CiteSpace were used to present the keyword co-occurrence,keyword clustering,au-thor collaboration network,and institutional collaboration network of social work intervention in chronic disease management.Results The post-documentation situation showed a fluctuating upward trend as a whole.The keywords that appeared frequently were"social support""management""quality of life""chronic disease"and"Care".There was multi-agency and multi-author collaboration.Conclusion Internationally,social work intervention in chronic disease management focuses on social support and quality of life.The research cooperation system in related fields is diversified,and social workers play an active role in the inter-disciplinary teams for chronic disease management.

Objective To explore the model of decreased ovarian reserve(DOR)induced by experimental autoimmune thyroiditis(EAT)in mice and investigate the protective mechanism of Jiexu Zichong Granules(ZCWS).Methods Ninety-six Kunming female mice were randomly divided into the J control group,BIW control group,J model group,and BIW model group.The mice were immunized with antigen(0.1 mg,once or twice per week)combined with high iodine water(0.64 g/L)for 7-19 weeks to validate the model.Subsequently,30 mice were randomly divided into the ZCWS group,model group,and control group.The DOR model was established by immunization with the antigen(0.2 mg per week)combined with high iodine water feeding for 13 weeks.The ZCWS group received oral administration of traditional Chinese medicine suspension(0.64 g/mL),while the remaining groups received an equivalent volume of physiological saline for 7 weeks.Thyroid and ovarian tissue morphology and related indicators were detected using HE staining,ELISA,IHC,and Western blot.Results Antigen immunization for 13 weeks(0.1-0.2 mg per week)combined with high iodine water feeding stably constructed the EAT DOR model.ZCWS reduced thyroid lymphocyte infiltration,follicular structure destruction,and serum TPOAb and TGAb levels(P<0.01).It inhibited MDA activity(P<0.01),increased GSH-Px and SOD activities(P<0.05),increased primordial,primary,and secondary follicles(P<0.05),and reduced atretic follicles(P<0.01).ZCWS upregulated AMH and downregulated FSH(P<0.01),regulated the expression of Bcl-2,Bax,and Caspase-3 proteins in ovarian tissue,downregulated Keap1 protein(P<0.01),and upregulated Nrf2(P<0.01),HO-1,and LONP1 proteins(P<0.05).It upregulated Bcl-2 protein(P<0.05),downregulated Bax(P<0.01),and Caspase-3(P<0.05)proteins,downregulated Keap1 protein(P<0.01),and upregulated Nrf2(P<0.01),HO-1,and LONP1 proteins(P<0.05)in ovarian tissue.Conclusion ZCWS improves ovarian reserve function in EAT mice by activating the Nrf2 pathway,inhibiting oxidative stress,and reducing follicular atresia.

Objective To investigate the mechanism by which angiotensin Ⅱ type 1 receptor autoantibody(AT1-AA)promotes phenotypic switch of vascular smooth muscle cells(VSMCs)and vascular fibrosis through abnormal expression of circadian clock protein BMAL1.Methods Twelve male SD rats(6～8 weeks old,weighing 180～220 g)were randomly divided into(n=6)a control group and an AT1-AA-positive group[established by active immunization of SD rats with AT1R extracellular loop Ⅱ peptide(AT1R-ECLⅡ)].HE and Masson stainings were used to observe structural changes and fibrosis in the thoracic aorta(n=3).Western blotting was performed to detect the expression of Collagen I,phenotypic switch-related proteins(SM22,α-SMA,OPN and MMP2)in vascular tissues and primary VSMCs(n=4),as well as the expression of BMAL1 at CT0,CT4,CT8,CT12,CT16,and CT20.Transwell and scratch assays were used to assess the proliferation and migration of VSMCs(n=3).si-RNA was employed to knock down Bmal1,followed by detection of BMAL1,Collagen I,and phenotypic conversion-related protein expression(n=3).Additionally,AT1-AA-positive AT1R-knockout(AT1R-KO)rats were constructed to measure BMAL1 expression in thoracic aortic tissues(n=4).Results The AT1-AA-positive rats had significantly thickened thoracic aortic vessel wall[(140±9)%vs(120±5)%,P<0.05],badly arranged VSMCs,obvious blue Masson staining,and up-regulated Collagen I expression(P<0.05).In the thoracic aorta of AT1-AA-positive rats and AT1-AA-treated VSMCs,the expression of contractile phenotype-related proteins(α-SMA,SM22)was decreased(P<0.05),while the expression of synthetic phenotype-related proteins(OPN,MMP2)was increased(P<0.05).AT1-AA enhanced the scratch healing ability and migration ability of VSMCs.Furthermore,both mRNA and protein levels of Bmal1 were significantly up-regulated at CT12(P<0.05),and the rhythmicity of Bmal1 was lost.Knockdown of Bmal1 partially ameliorated AT1-AA-induced phenotypic switch of VSMCs.Compared with AT1-AA-positive WT rats,AT1-AA-positive AT1R-KO rats showed significantly reduced BMAL1 expression in the thoracic aorta(1.35±0.06 vs 0.86±0.07,P<0.001).At the cellular level,AT1-AA-induced phenotypic switch and high Collagen I expression in VSMCs were partially improved in AT1R-KO VSMCs.Conclusion AT1-AA promotes VSMCs phenotypic conversion and vascular fibrosis through the AT1R-Bmal1 axis.

Objective To exploring the drug rules for treating children's night cough based on the theory of"Shaoyang as the pivot".Methods 189 cases of children with night cough were included,and 224 prescriptions.Used the Traditional Chinese Medicine Inheritance Assistance Platform to analyze the time distribution,syndrome types,and four nature,five flavors,and channel tropism of diseases.Used frequency statistics,association rule analysis,and cluster analysis to extract drug patterns for pediatric night cough.Results Coughing occured most frequently during the Yin period.The syndrome type was mainly Shaoyang syndrome.The high-frequency core drugs were Chaihu,Huangqin,and Banxia,etc..The prescription characteristics were Xiaochaihu decoction without Renshen,Shengjiang,and Dazao,and added Wuweizi,Danggui and Xingren.The drugs were used flexibly according to the syndromes:Maxing Er San decoction was added to the phlegm and drink syndrome,Qumai Er Chen decoction was added to the food stagnation syndrome,Sijunzi decoction was added to the qi deficiency syndrome,Maiwei Dihuang decoction was added to the yin deficiency syndrome,and Weijing decoction was added to the phlegm and heat syndrome.Conclusion Based on the basic principle of harmonizing Shaoyang,and according to the disease mechanism,the classical prescription is flexibly used,forming a night cough treatment system based on the"Shaoyang as the pivot"theory,with distinct clinical characteristics.

A novel epileptic seizure prediction prediction model based on multichannel temporal and spatial feature extractions is presented.The model applies Stockwell transform to the original multichannel electroencephalogram(EEG)signals for extracting time-frequency components.To address the issue of insignificant difference between preseizure and interseizure time-frequency features,an adaptive feature module composing of ConvNeXt,SENet and pyramid pooling module is designed to enhance the ability of capturing key time-frequency features in each EEG channel.Meanwhile,a prediction model based on Bi-NLSTM is constructed to improve the spatiotemporal dependence between the time-frequency features of multichannel high-order EEG for further promoting the epilepsy classification performance.On the CHB-MIT dataset,the model has an accuracy,sensitivity,specificity and AUC of 96.0%,97.8%,96.8%and 0.987,respectively,and the false positive rate per hour decreased to 0.038,outperforming the existing mainstream methods.In addition,the effect of each component on the model performance is verified by ablation study.The proposed method improves the overall performance for seizure prediction effectively by optimizing local time-frequency feature extraction and enhancing multichannel spatiotemporal dependence.

Objective:To establish and validate a predictive model for non-curative resection of rectal neuroendocrine tumors (R-NETs) ≤20 mm.Methods:Data from patients with R-NETs treated at the First Affiliated Hospital of Soochow University and the Suzhou Ninth People's Hospital from January 2013 to December 2023 were retrospectively analyzed. Clinical data, endoscopic findings, and pathological characteristics were analyzed. Univariate analysis was performed using independent sample t-tests and Chi-square tests. Variables were screened using the forward stepwise binary logistic regression to establish a risk prediction model for non-curative resection of R-NETs ≤20 mm, with subsequent construction of a nomogram. The performance of the model was evaluated using the receiver operating characteristic (ROC) curve. The consistency between predicted and observed probabilities was assessed using calibration curves, and the clinical net benefit of the model was evaluated using decision curve analysis. Results:A total of 213 patients were included, with age of 50.53±11.42 years, and 102 (47.9%) were male. The distance of the lesion from the dentate line was 7.11±2.79 cm, and the tumor long diameter was 8.24±3.75 mm. Compared to curative resection cases, non-curative resection cases were more likely to exhibit tumor surface depression, higher tumor G-stage, higher Ki-67 index and higher chromograninA (CgA) positivity rate ( P<0.05). Through forward variable selection in binary logistic regression, a model was established with Ki-67 index ( P=0.014, OR=1.214, 95% CI: 1.039-1.417), surface depression ( P=0.027, OR=2.348, 95% CI: 1.100-5.013), and CgA positivity ( P<0.001, OR=5.399, 95% CI: 2.764-10.544) as parameters, with a corresponding nomogram. The area under the ROC curve of the model was 0.766 (95% CI: 0.696-0.837), and clinical decision curve analysis confirmed its good clinical net benefit. The calibration curve showed good consistency between predicted and observed probabilities. Conclusion:This study establishes a risk prediction model for non-curative resection of R-NETs ≤20 mm based on surface depression, Ki-67 index, and CgA positivity. The model demonstrates strong predictive performance and offers valuable guidance for clinical endoscopists.

Objective To exploring the drug rules for treating children's night cough based on the theory of"Shaoyang as the pivot".Methods 189 cases of children with night cough were included,and 224 prescriptions.Used the Traditional Chinese Medicine Inheritance Assistance Platform to analyze the time distribution,syndrome types,and four nature,five flavors,and channel tropism of diseases.Used frequency statistics,association rule analysis,and cluster analysis to extract drug patterns for pediatric night cough.Results Coughing occured most frequently during the Yin period.The syndrome type was mainly Shaoyang syndrome.The high-frequency core drugs were Chaihu,Huangqin,and Banxia,etc..The prescription characteristics were Xiaochaihu decoction without Renshen,Shengjiang,and Dazao,and added Wuweizi,Danggui and Xingren.The drugs were used flexibly according to the syndromes:Maxing Er San decoction was added to the phlegm and drink syndrome,Qumai Er Chen decoction was added to the food stagnation syndrome,Sijunzi decoction was added to the qi deficiency syndrome,Maiwei Dihuang decoction was added to the yin deficiency syndrome,and Weijing decoction was added to the phlegm and heat syndrome.Conclusion Based on the basic principle of harmonizing Shaoyang,and according to the disease mechanism,the classical prescription is flexibly used,forming a night cough treatment system based on the"Shaoyang as the pivot"theory,with distinct clinical characteristics.

Objective To analyze the international research hotspots and development trends of social work intervention in chronic disease management,providing reference for domestic research on social work intervention in chronic disease manage-ment.Methods The research literature was retrieve on the core collection of Web of Science,articles published from the estab-lishment of the database from 2000 to 2024.CiteSpace were used to present the keyword co-occurrence,keyword clustering,au-thor collaboration network,and institutional collaboration network of social work intervention in chronic disease management.Results The post-documentation situation showed a fluctuating upward trend as a whole.The keywords that appeared frequently were"social support""management""quality of life""chronic disease"and"Care".There was multi-agency and multi-author collaboration.Conclusion Internationally,social work intervention in chronic disease management focuses on social support and quality of life.The research cooperation system in related fields is diversified,and social workers play an active role in the inter-disciplinary teams for chronic disease management.

Objective To explore the model of decreased ovarian reserve(DOR)induced by experimental autoimmune thyroiditis(EAT)in mice and investigate the protective mechanism of Jiexu Zichong Granules(ZCWS).Methods Ninety-six Kunming female mice were randomly divided into the J control group,BIW control group,J model group,and BIW model group.The mice were immunized with antigen(0.1 mg,once or twice per week)combined with high iodine water(0.64 g/L)for 7-19 weeks to validate the model.Subsequently,30 mice were randomly divided into the ZCWS group,model group,and control group.The DOR model was established by immunization with the antigen(0.2 mg per week)combined with high iodine water feeding for 13 weeks.The ZCWS group received oral administration of traditional Chinese medicine suspension(0.64 g/mL),while the remaining groups received an equivalent volume of physiological saline for 7 weeks.Thyroid and ovarian tissue morphology and related indicators were detected using HE staining,ELISA,IHC,and Western blot.Results Antigen immunization for 13 weeks(0.1-0.2 mg per week)combined with high iodine water feeding stably constructed the EAT DOR model.ZCWS reduced thyroid lymphocyte infiltration,follicular structure destruction,and serum TPOAb and TGAb levels(P<0.01).It inhibited MDA activity(P<0.01),increased GSH-Px and SOD activities(P<0.05),increased primordial,primary,and secondary follicles(P<0.05),and reduced atretic follicles(P<0.01).ZCWS upregulated AMH and downregulated FSH(P<0.01),regulated the expression of Bcl-2,Bax,and Caspase-3 proteins in ovarian tissue,downregulated Keap1 protein(P<0.01),and upregulated Nrf2(P<0.01),HO-1,and LONP1 proteins(P<0.05).It upregulated Bcl-2 protein(P<0.05),downregulated Bax(P<0.01),and Caspase-3(P<0.05)proteins,downregulated Keap1 protein(P<0.01),and upregulated Nrf2(P<0.01),HO-1,and LONP1 proteins(P<0.05)in ovarian tissue.Conclusion ZCWS improves ovarian reserve function in EAT mice by activating the Nrf2 pathway,inhibiting oxidative stress,and reducing follicular atresia.

Objective:To establish and validate a predictive model for non-curative resection of rectal neuroendocrine tumors (R-NETs) ≤20 mm.Methods:Data from patients with R-NETs treated at the First Affiliated Hospital of Soochow University and the Suzhou Ninth People's Hospital from January 2013 to December 2023 were retrospectively analyzed. Clinical data, endoscopic findings, and pathological characteristics were analyzed. Univariate analysis was performed using independent sample t-tests and Chi-square tests. Variables were screened using the forward stepwise binary logistic regression to establish a risk prediction model for non-curative resection of R-NETs ≤20 mm, with subsequent construction of a nomogram. The performance of the model was evaluated using the receiver operating characteristic (ROC) curve. The consistency between predicted and observed probabilities was assessed using calibration curves, and the clinical net benefit of the model was evaluated using decision curve analysis. Results:A total of 213 patients were included, with age of 50.53±11.42 years, and 102 (47.9%) were male. The distance of the lesion from the dentate line was 7.11±2.79 cm, and the tumor long diameter was 8.24±3.75 mm. Compared to curative resection cases, non-curative resection cases were more likely to exhibit tumor surface depression, higher tumor G-stage, higher Ki-67 index and higher chromograninA (CgA) positivity rate ( P<0.05). Through forward variable selection in binary logistic regression, a model was established with Ki-67 index ( P=0.014, OR=1.214, 95% CI: 1.039-1.417), surface depression ( P=0.027, OR=2.348, 95% CI: 1.100-5.013), and CgA positivity ( P<0.001, OR=5.399, 95% CI: 2.764-10.544) as parameters, with a corresponding nomogram. The area under the ROC curve of the model was 0.766 (95% CI: 0.696-0.837), and clinical decision curve analysis confirmed its good clinical net benefit. The calibration curve showed good consistency between predicted and observed probabilities. Conclusion:This study establishes a risk prediction model for non-curative resection of R-NETs ≤20 mm based on surface depression, Ki-67 index, and CgA positivity. The model demonstrates strong predictive performance and offers valuable guidance for clinical endoscopists.