Objective:To investigate brain damage and treatment efficacy in patients with first-episode schizophrenia with comorbid auditory and visual hallucinations and cognitive decline based on brain magnetic resonance imaging (MRI).Methods:This study adopted a retrospective cohort design. Eighty patients with first-episode schizophrenia who received treatment at Wenzhou Seventh People's Hospital from January to June 2024 were included in this study. The patients were divided into an observation group (40 cases of first-episode schizophrenia with comorbid auditory and visual hallucinations) and a control group (40 cases of first-episode schizophrenia without comorbid auditory and visual hallucinations) based on whether they had symptoms of comorbid auditory and visual hallucinations. Forty healthy individuals who concurrently underwent physical examinations were included in the normal group. All patients received standardized treatment. Cranial MRI data were collected from all subjects. Cranial MRI data, Positive and Negative Syndrome Scale (PANSS) score, Global Assessment of Functioning (GAF) score, and changes in cognitive function were compared among the three groups. Additionally, the changes in cranial MRI data, PANSS score, GAF score, and the score of MATRICS Consensus Cognitive Battery (MCCB) in the observation group were compared between before and after treatment.Results:The horizontal distance between the corpus callosum and the underside of the cingulate gyrus, the vertical distance between the corpus callosum and the underside of the cingulate gyrus, and PANSS and GAF scores in the observation group were all significantly higher than those in the normal and control groups (all P < 0.05). The scores on all MCCB scales in the observation group were significantly lower than those in the normal and control groups (all P < 0.05). After treatment, the left horizontal distance between the corpus callosum and the underside of the cingulate gyrus [(5.72 ± 0.71) mm] and the right horizontal distance [(5.13 ± 0.55) mm], as well as the left vertical distance [(6.37 ± 0.69) mm] and the right vertical distance [(5.61 ± 0.67) mm], were all significantly lower than the pre-treatment values [(6.98 ± 0.83) mm, (6.07 ± 0.49) mm, (7.54 ± 0.58) mm, and (6.52 ± 0.51) mm, t = 7.30, 8.07, 8.21, 6.84, all P < 0.05]. Post-treatment PANSS scores [(39.95 ± 6.65)] were significantly lower than pre-treatment scores [(97.47 ± 18.47)], while post-treatment GAF scores [(71.26 ± 8.87)] were significantly higher than pre-treatment scores [(34.68 ± 7.71), t = 18.53, 19.69, both P < 0.05]. Post-treatment scores for the MCCB [(8.57 ± 2.45), (2.25 ± 0.47), (25.16 ± 2.43), (24.10 ± 2.64), (17.08 ± 2.25), (20.43 ± 3.76), (2.07 ± 0.36), (22.16 ± 3.24), (57.81 ± 7.69), (0.28 ± 0.05)] were significantly higher than pre-treatment scores [(5.65 ± 1.37), (1.62 ± 0.34), (21.21 ± 2.27), (20.27 ± 1.78), (12.16 ± 2.08), (14.56 ± 2.34), (1.71 ± 0.25), (17.92 ± 1.64), (40.29 ± 6.56), (0.21 ± 0.03), t = 6.58, 6.87, 7.51, 7.61, 10.15, 8.38, 5.19, 7.38, 10.96, 7.59, all P < 0.05]. Conclusions:The comorbid auditory and visual hallucinations in patients with first-episode schizophrenia, based on brain MRI findings, are closely related to cognitive decline and brain damage. After treatment, both cognitive function and cranial damage in these patients have considerably improved, which is worthy of clinical consideration.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Objective To develop a quantitative method ology for assessing the aortic media damage induced by the stent-graft,and study the influence of various stent oversizing ratios(ORs)on damage of the aortic media.Methods Based on experimetal data from uniaxial tensile test on human aortic dissection,the material parameters of aortic wall's constitutive equation were determined,including damage parameters.A finite element model was constructed to simulate the deployment process of the stent-graft in blood vessel.Damage factor was determined to analyze the stress distribution and the result ant damage within aortic media at different ORs of the stent-graft.Results The distribution of damage factor and von Mises stress was basically consistent,with both peaking at the large curvature side near the aortic arch.Additionally,stress concentration was observed in distal anchoring region of the aortic wall.An increment in OR was correlated with a proportional increase in both peak values.At ORs of 10％,15％and 20％,the maimum von Mises stresses were 469,480 and 580 kPa,respectively,with increments of 2.3％and 20.8％.Correspondingly,the maximum damage factors were 0.01,0.011 and 0.014,with an elevation of 10％and 27.3％.Conclusions An increment in OR is associated with a pronounced increase in peak value of the damage factor and the rate of increase,indicating a more severe impact on the aortic media.The distribution of the damage factor aligns closely with that of the von Mises stress,with both exhibiting peak values at the large curvature side of aortic arch.This correlation underscores the damage factor's efficacy as a reliable indicator of the aortic media's integrity and can accurately reflect the degree of medial layer injury in the aortic wall,thereby providing a theoretical basis for the subsequent assessment of endovascular interventional treatment risks through damage factor analysis.

Objective:To investigate brain damage and treatment efficacy in patients with first-episode schizophrenia with comorbid auditory and visual hallucinations and cognitive decline based on brain magnetic resonance imaging (MRI).Methods:This study adopted a retrospective cohort design. Eighty patients with first-episode schizophrenia who received treatment at Wenzhou Seventh People's Hospital from January to June 2024 were included in this study. The patients were divided into an observation group (40 cases of first-episode schizophrenia with comorbid auditory and visual hallucinations) and a control group (40 cases of first-episode schizophrenia without comorbid auditory and visual hallucinations) based on whether they had symptoms of comorbid auditory and visual hallucinations. Forty healthy individuals who concurrently underwent physical examinations were included in the normal group. All patients received standardized treatment. Cranial MRI data were collected from all subjects. Cranial MRI data, Positive and Negative Syndrome Scale (PANSS) score, Global Assessment of Functioning (GAF) score, and changes in cognitive function were compared among the three groups. Additionally, the changes in cranial MRI data, PANSS score, GAF score, and the score of MATRICS Consensus Cognitive Battery (MCCB) in the observation group were compared between before and after treatment.Results:The horizontal distance between the corpus callosum and the underside of the cingulate gyrus, the vertical distance between the corpus callosum and the underside of the cingulate gyrus, and PANSS and GAF scores in the observation group were all significantly higher than those in the normal and control groups (all P < 0.05). The scores on all MCCB scales in the observation group were significantly lower than those in the normal and control groups (all P < 0.05). After treatment, the left horizontal distance between the corpus callosum and the underside of the cingulate gyrus [(5.72 ± 0.71) mm] and the right horizontal distance [(5.13 ± 0.55) mm], as well as the left vertical distance [(6.37 ± 0.69) mm] and the right vertical distance [(5.61 ± 0.67) mm], were all significantly lower than the pre-treatment values [(6.98 ± 0.83) mm, (6.07 ± 0.49) mm, (7.54 ± 0.58) mm, and (6.52 ± 0.51) mm, t = 7.30, 8.07, 8.21, 6.84, all P < 0.05]. Post-treatment PANSS scores [(39.95 ± 6.65)] were significantly lower than pre-treatment scores [(97.47 ± 18.47)], while post-treatment GAF scores [(71.26 ± 8.87)] were significantly higher than pre-treatment scores [(34.68 ± 7.71), t = 18.53, 19.69, both P < 0.05]. Post-treatment scores for the MCCB [(8.57 ± 2.45), (2.25 ± 0.47), (25.16 ± 2.43), (24.10 ± 2.64), (17.08 ± 2.25), (20.43 ± 3.76), (2.07 ± 0.36), (22.16 ± 3.24), (57.81 ± 7.69), (0.28 ± 0.05)] were significantly higher than pre-treatment scores [(5.65 ± 1.37), (1.62 ± 0.34), (21.21 ± 2.27), (20.27 ± 1.78), (12.16 ± 2.08), (14.56 ± 2.34), (1.71 ± 0.25), (17.92 ± 1.64), (40.29 ± 6.56), (0.21 ± 0.03), t = 6.58, 6.87, 7.51, 7.61, 10.15, 8.38, 5.19, 7.38, 10.96, 7.59, all P < 0.05]. Conclusions:The comorbid auditory and visual hallucinations in patients with first-episode schizophrenia, based on brain MRI findings, are closely related to cognitive decline and brain damage. After treatment, both cognitive function and cranial damage in these patients have considerably improved, which is worthy of clinical consideration.

Objective:To screen the optimal machine learning model for predicting the recurrence condition of hepatocellular carcinoma (HCC) at different time points post-surgery, based on the cutoff value of the Ki67 positive proliferation index condition calculated from recurrence-free survival and combined with various clinical features.Methods:retrospective study included initially treated patients with solitary HCC who underwent radical surgery at the Fifth Medical Center of the PLA General Hospital from January 2013 to March 2023. Data included general clinical data, preoperative laboratory parameters, and surgical pathology information about the subjects. The postoperative recurrence status was assessed by querying the medical record system or by telephone follow-up. The Ki67 positive index cutoff value was determined by the X-tile software based on the patient's recurrence-free survival status and time analysis. Survival rates were calculated using the Kaplan-Meier method, and survival curves were plotted. The study population was randomly divided into training and testing groups in a 7:3 ratio using a computer-generated random number method. The minimum redundancy maximum relevance (mRMR) method was used for feature variable selection. Predictive models for postoperative HCC recurrence conditions in patients with HCC were constructed using random forest, support vector machine, logistic regression, and gradient boosting decision tree machine learning algorithms. Inter-group comparisons for continuous data were performed using the t-test or Mann-Whitney U test. Inter-group comparisons of enumeration data were performed using the Pearson χ2 test, continuity-corrected χ2 test, or Fisher's exact test. Results:The cutoff values for the Ki67 positivity index were 0.3 and 0.5 in 510 cases, with a follow-up time ranging from 1.2 to 11.4 years (median: 6.2 years). The recurrence-free survival time was between 1 and 135 months (median: 32 months), with recurrence-free survival rates post-surgery at 1, 2, 3, and 5 years were 87.5%, 77.1%, 61.2%, and 54.5%, respectively. The top five variables predicted HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years, in accordance with information obtained by the mRMR screen out. The Ki67 positivity index screened a successfully constructed machine learning model to predict HCC recurrence and non-recurrence conditions following surgical follow-up at 6 months, 1 year, 2 years, and beyond 2 years. The machine learning model based on the gradient boosting decision tree algorithm had the best prediction performance among them (areas under the receiver operating characteristic curves for predicting HCC recurrence within six months in the training and validation sets were 0.996 and 0.946, and accuracies were 0.972 and 0.935, respectively).Conclusion:A machine learning model was successfully constructed using the Ki67 positivity index combined with four readily available clinical features to predict HCC recurrence. The machine learning model based on the gradient boosting decision tree algorithm demonstrated the best performance in terms of predicting HCC recurrence within six months after surgery.

Objective To develop a quantitative method ology for assessing the aortic media damage induced by the stent-graft,and study the influence of various stent oversizing ratios(ORs)on damage of the aortic media.Methods Based on experimetal data from uniaxial tensile test on human aortic dissection,the material parameters of aortic wall's constitutive equation were determined,including damage parameters.A finite element model was constructed to simulate the deployment process of the stent-graft in blood vessel.Damage factor was determined to analyze the stress distribution and the result ant damage within aortic media at different ORs of the stent-graft.Results The distribution of damage factor and von Mises stress was basically consistent,with both peaking at the large curvature side near the aortic arch.Additionally,stress concentration was observed in distal anchoring region of the aortic wall.An increment in OR was correlated with a proportional increase in both peak values.At ORs of 10％,15％and 20％,the maimum von Mises stresses were 469,480 and 580 kPa,respectively,with increments of 2.3％and 20.8％.Correspondingly,the maximum damage factors were 0.01,0.011 and 0.014,with an elevation of 10％and 27.3％.Conclusions An increment in OR is associated with a pronounced increase in peak value of the damage factor and the rate of increase,indicating a more severe impact on the aortic media.The distribution of the damage factor aligns closely with that of the von Mises stress,with both exhibiting peak values at the large curvature side of aortic arch.This correlation underscores the damage factor's efficacy as a reliable indicator of the aortic media's integrity and can accurately reflect the degree of medial layer injury in the aortic wall,thereby providing a theoretical basis for the subsequent assessment of endovascular interventional treatment risks through damage factor analysis.

Uncovering the risk factors of pulmonary hypertension and its mechanisms is crucial for the prevention and treatment of the disease.In the current study,we showed that experimental periodontitis,which was established by ligation of molars followed by orally smearing subgingival plaques from patients with periodontitis,exacerbated hypoxia-induced pulmonary hypertension in mice.Mechanistically,periodontitis dysregulated the pulmonary microbiota by promoting ectopic colonization and enrichment of oral bacteria in the lungs,contributing to pulmonary infiltration of interferon gamma positive(IFNγ+)T cells and aggravating the progression of pulmonary hypertension.In addition,we identified Prevotella zoogleoformans as the critical periodontitis-associated bacterium driving the exacerbation of pulmonary hypertension by periodontitis,and the exacerbation was potently ameliorated by both cervical lymph node excision and IFNγ neutralizing antibodies.Our study suggests a proof of concept that the combined prevention and treatment of periodontitis and pulmonary hypertension are necessary.

Objective To investigate the clinical value of thyroid globulin antibody(TgAb)and thyroid peroxidase antibody(TPOAb)in the diagnosis and treatment of papillary thyroid microcarcinoma(PTMC).Methods A total of 346 patients with thyroid nodules who underwent surgical treatment in the hospital from August 2012 to October 2021 were selected as the research objects.According to the postoperative pathologi-cal results,the patients were divided into the benign nodule group,PTMC group and non-micro papillary thy-roid carcinoma(PTC)group.The general data of the patients and thyroid function indexes[free triiodothyro-nine(FT3),free tetraiodothyronine(FT4),thyroid stimulating hormone(TSH),TgAb and TPOAb]before and after operation were collected,the tumor recurrence or lymph node metastasis after operation were ob-served,and the relationship between serum TgAb and TPOAb and the risk and prognosis of PTMC was ana-lyzed.Results The positivity rate of TgAb in the PTMC and non-micro PTC groups was significantly higher than that in the benign nodule group(P<0.05).The TPOAb positivity rate was not significantly different among the three groups(P>0.05).Only the TSH level in the PTMC group was higher than that in the non-micro PTC group(P<0.05).Multivariate logistic analysis showed that younger age,higher TSH and positive TgAb were independent risk factors for PTMC and non-micro PTC(P<0.05).However,the risk of PTC didn't increase with increasing TgAb titres.The positivity rate of TgAb in the PTMC and non-micro PTC groups didn't change significantly within one month after operation,but decreased in one year after operation(P<0.05).The TPOAb positivity rate decreased after operation,but the difference was not statistically sig-nificant(P>0.05).In the PTMC group,four cases had tumor recurrence or lymph node metastasis,and the TgAb level increased by 88.4%,49.5%,5.7%and 84.0%respectively when the tumor recurred or metasta-sized.Among them,the TPOAb level increased by 51.6%,30.0%and 2.9%respectively in three cases and decreased by 53.9%in one case.In the PTMC group,there were 11 patients with cervical lymph node enlarge-ment,and there was no statistical difference in TgAb and TPOAb levels when the condition changed(P>0.05).Conclusion TgAb is a risk factor for PTMC,and can be followed up regularly during the diagnosis and treatment of PTMC.The specificity of TPOAb is not as good as that of TgAb,and appropriate follow-up can be chosen during the course of the disease.

Objective To develop a training curriculum for specialist nurses in oral implantology and to provide a theoretical basis for professional development.Methods In September 2022,based on literature reviews,interviews and group discussions were conducted to formulate an preliminary draft of the"Training Curriculum for Nursing Specialists in Oral Implantology",which included 6 primary domains and 23 secondary items.Between October and November 2022,Delphi method was employed to conduct 2 rounds of expert consultations with 17 dentists and nursing specialists in oral implantology.The initial draft was improved based on the results of consultation and a final version of the curriculum was concluded.Results The response rate of the two rounds of expert consultation was both of 100%with an expert authority coefficient at 0.873.The importance scores for the items in the two rounds of expert correspondence ranged from 4.31 to 5.00 and 4.47 to 5.00,respectively,with the coefficients of variation ranged from 0 to 0.16 and 0 to 0.14,respectively.The proportion of maximum scores in the two rounds of expert consultation ranged from 43.75%to 100.00%and 47.10%to100.00%,respectively,with Kendall W coefficients of 0.196 and 0.310,respectively,indicating statistically significant differences(all P<0.001).The finalised curriculum encompassed 6 primary domains and 30 secondary items.The primary domains included basic knowledge about oral implantation,perioperative care of oral implantation,care during restoration period of oral implantation,infection management of oral implantation,emergency management of oral implantation,and nursing management in oral implantation.Conclusion The curriculum developed for training of specialist nurses in oral implantology is scientifically valid and reliable.It is in line with the training requirements for the specialists in oral implantology and provides guidance for the professional training.