Objective To evaluate the predictive value of the Systemic Inflammation Response Index(SIRI)for non-curative resection during endoscopic submucosal dissection(ESD)treatment of early-stage colorectal cancer(CRC),and to develop a nomogram-based prediction model.Methods Retrospective data were collected from 235 patients diagnosed with early-stage CRC who underwent ESD at our hospital between January 2016 and August 2024.Receiver operating characteristic(ROC)curves were constructed to evaluate the predictive performance of inflamma-tory markers,such as the SIRI,for non-curative resection following ESD.Logistic regression analysis was conducted to identify independent risk factors associated with non-curative resection,and a prediction model was developed based on these factors.The model was internally validated.Results The incidence of non-curative resection in the study population was 26.38%(62 out of 235 cases).Inflammatory markers,specifically SIRI and SII,demonstrated predictive value for non-curative resection following ESD in patients with early-stage CRC,with SIRI exhibiting a higher predictive accuracy(AUC=0.704).Logistic regression analysis identified age,family history,CEA,SIRI,and SII as independent risk factors for non-curative resection(all P<0.05).Based on these findings,a nomogram prediction model incorporating age,family history,CEA,and SIRI was developed,achieving a C-index of 0.741(95%CI:0.675～0.806).The model′s performance was validated using the Bootstrap method,and the decision curve analysis indicated satisfactory predictive accuracy.Conclusions SIRI demonstrates superior predictive value compared to SII for non-curative resection following ESD in patients with early-stage CRC.Independent risk factors for non-curative resection after ESD include age,family history,CEA levels,SIRI,and SII.A nomogram prediction model constructed using these risk factors-specifically age,family history,CEA levels,and SIRI-can effectively pre-dict the likelihood of non-curative resection after ESD.

Objective : To investigate the impact of fecal microbiota transplantation (FMT) on the composition of 15 intestinal-derived estrogens and their metabolites (EMs) and its correlation with non-alcoholic fatty liver disease (NAFLD) . Methods: Thirty male C57BL/6J mice were divided into a normal control group (Control) , a high- sugar high-fat diet combined with low-dose CCl4 -induced NAFLD model group ( Model) , and a group of model mice treated with fecal microbiota from normal female mice (FMT) . After 17 weeks of modeling , liver pathology in each group was observed using HE staining , biochemical methods were used to measure serum alanine aminotrans- ferase (ALT) and aspartate aminotransferase (AST) levels , as well as hepatic triglyceride (TG) and total choles- terol (TC) levels. and the content of 15 EMs in portal vein serum was detected using ultra-high-performance liquid chromatography-tandem mass spectrometry (UHPLC-MS) . The correlation between disease phenotype and intesti- nal EMs was analyzed using Pearson ′s method. Results: The NAFLD model was successfully established , and the FMT group showed improved liver structure and morphology , with significant decreases in liver function and hepatic lipids compared to the Model group. In NAFLD mice , the contents of E1 , E2 , and their 2- and 4-position metabo- lites in portal vein blood serum was reduced compared to normal mice , while the content of most 16- and 17-posi- tion metabolites ( except 16α-OHE1) increased compared to normal mice. Correlation analysis showed that ALT was strongly positively correlated with E3 and 17-epiE3 , and strongly negatively correlated with E1 , E2 , 4- MeOE1 , and 16α-OHE1 . The TC was strongly positively correlated with 17-epiE3 and strongly negatively correla- ted with E1 , 4-MeOE1 , and 16α-OHE1 . Conclusion FMT restores the disrupted composition of intestinal EMs and improves NAFLD.

Objective To rexplore the content structure characteristics and psychometric properties of assessment scales for funda-mental movement skills(FMS)in school-aged children,based on International Classification of Functioning,Dis-ability and Health-Children and Youth Version(ICF-CY)framework.Methods Literatures on assessment scales for FMS in school-aged children were retrieved from PubMed,Science Di-rect,Web of Science,EMBase,PsycINFO,CNKI and Wanfang data from inception to July,2025.The contents of the included scales were analyzed using the ICF-CY linking rule.The COSMIN RoB tool was used to assess the psychometric properties of the scales,and the GRADE system was applied to evaluate the overall quality of evi-dence.Results A total of 29 studies were included,involving six assessment scales:Bruininks-Oseretsky Test of Motor Profi-ciency-2(BOT-2),Canadian Assessment of Movement Skill and Agility(CAMSA),K?rperkoordinationstest für Kinder(KTK),Movement Assessment Battery for Children-2(MABC-2),Motorische Basiskompetenzen test Battery(MOBAK),and Test of Gross Motor Development-3(TGMD-3).In the ICF-CY linking analysis,all six tools addressed joint mobility functions(b710)and joint stability functions(b715),while five of them also in-volved hand and arm use(d445).The number of linked items ranged from 5 to 11.BOT-2 and TGMD-3 linked to 11 items,showing broad coverage;BOT-2 focused more on the body function dimension,whereas TGMD-3 em-phasized activity and participation dimensions,especially the performance of hand function in daily activities.In bias risk assessment,TGMD-3 showed the lowest risk(50%rated A and 50%rated B),while MABC-2 had the highest proportion of C ratings(55.6%),followed by BOT-2(33.3%).In evidence grading,TGMD-3 was rated high quality,KTK moderate,BOT-2 and CAMSA low,and MABC-2 and MOBAK very low.Conclusion TGMD-3 is recommended as the primary tool for assessing FMS in school-aged children for broad coverage of ICF-CY items,strong psychometric properties and high evidence quality.KTK,with moderate evidence quali-ty,may serve as a secondary option,but should be used cautiously in China.Although CAMSA is easy to admin-ister,its validity and reliability are low,so it is only suitable for rapid classroom screening.BOT-2,despite cover-ing more ICF-CY items,has a higher bias risk and low evidence quality.MOBAK and MABC-2 have very low evidence quality and are not recommended for current use.

Objective To rexplore the content structure characteristics and psychometric properties of assessment scales for funda-mental movement skills(FMS)in school-aged children,based on International Classification of Functioning,Dis-ability and Health-Children and Youth Version(ICF-CY)framework.Methods Literatures on assessment scales for FMS in school-aged children were retrieved from PubMed,Science Di-rect,Web of Science,EMBase,PsycINFO,CNKI and Wanfang data from inception to July,2025.The contents of the included scales were analyzed using the ICF-CY linking rule.The COSMIN RoB tool was used to assess the psychometric properties of the scales,and the GRADE system was applied to evaluate the overall quality of evi-dence.Results A total of 29 studies were included,involving six assessment scales:Bruininks-Oseretsky Test of Motor Profi-ciency-2(BOT-2),Canadian Assessment of Movement Skill and Agility(CAMSA),K?rperkoordinationstest für Kinder(KTK),Movement Assessment Battery for Children-2(MABC-2),Motorische Basiskompetenzen test Battery(MOBAK),and Test of Gross Motor Development-3(TGMD-3).In the ICF-CY linking analysis,all six tools addressed joint mobility functions(b710)and joint stability functions(b715),while five of them also in-volved hand and arm use(d445).The number of linked items ranged from 5 to 11.BOT-2 and TGMD-3 linked to 11 items,showing broad coverage;BOT-2 focused more on the body function dimension,whereas TGMD-3 em-phasized activity and participation dimensions,especially the performance of hand function in daily activities.In bias risk assessment,TGMD-3 showed the lowest risk(50%rated A and 50%rated B),while MABC-2 had the highest proportion of C ratings(55.6%),followed by BOT-2(33.3%).In evidence grading,TGMD-3 was rated high quality,KTK moderate,BOT-2 and CAMSA low,and MABC-2 and MOBAK very low.Conclusion TGMD-3 is recommended as the primary tool for assessing FMS in school-aged children for broad coverage of ICF-CY items,strong psychometric properties and high evidence quality.KTK,with moderate evidence quali-ty,may serve as a secondary option,but should be used cautiously in China.Although CAMSA is easy to admin-ister,its validity and reliability are low,so it is only suitable for rapid classroom screening.BOT-2,despite cover-ing more ICF-CY items,has a higher bias risk and low evidence quality.MOBAK and MABC-2 have very low evidence quality and are not recommended for current use.

Objective To evaluate the predictive value of the Systemic Inflammation Response Index(SIRI)for non-curative resection during endoscopic submucosal dissection(ESD)treatment of early-stage colorectal cancer(CRC),and to develop a nomogram-based prediction model.Methods Retrospective data were collected from 235 patients diagnosed with early-stage CRC who underwent ESD at our hospital between January 2016 and August 2024.Receiver operating characteristic(ROC)curves were constructed to evaluate the predictive performance of inflamma-tory markers,such as the SIRI,for non-curative resection following ESD.Logistic regression analysis was conducted to identify independent risk factors associated with non-curative resection,and a prediction model was developed based on these factors.The model was internally validated.Results The incidence of non-curative resection in the study population was 26.38%(62 out of 235 cases).Inflammatory markers,specifically SIRI and SII,demonstrated predictive value for non-curative resection following ESD in patients with early-stage CRC,with SIRI exhibiting a higher predictive accuracy(AUC=0.704).Logistic regression analysis identified age,family history,CEA,SIRI,and SII as independent risk factors for non-curative resection(all P<0.05).Based on these findings,a nomogram prediction model incorporating age,family history,CEA,and SIRI was developed,achieving a C-index of 0.741(95%CI:0.675～0.806).The model′s performance was validated using the Bootstrap method,and the decision curve analysis indicated satisfactory predictive accuracy.Conclusions SIRI demonstrates superior predictive value compared to SII for non-curative resection following ESD in patients with early-stage CRC.Independent risk factors for non-curative resection after ESD include age,family history,CEA levels,SIRI,and SII.A nomogram prediction model constructed using these risk factors-specifically age,family history,CEA levels,and SIRI-can effectively pre-dict the likelihood of non-curative resection after ESD.

Objective To create risk predictive models of healthcare-seeking delay among imported malaria patients in Jiangsu Province based on machine learning algorithms, so as to provide insights into early identification of imported malaria cases in Jiangsu Province. Methods Case investigation, first symptoms and time of initial diagnosis of imported malaria patients in Jiangsu Province in 2019 were captured from Infectious Disease Report Information Management System and Parasitic Disease Prevention and Control Information Management System of Chinese Center for Disease Control and Prevention. The risk predictive models of healthcare-seeking delay among imported malaria patients were created with the back propagation (BP) neural network model, logistic regression model, random forest model and Bayesian model using thirteen factors as independent variables, including occupation, species of malaria parasite, main clinical manifestations, presence of complications, severity of disease, age, duration of residing abroad, frequency of malaria parasite infections abroad, incubation period, level of institution at initial diagnosis, country of origin, number of individuals travelling with patients and way to go abroad, and time of healthcare-seeking delay as a dependent variable. Logistic regression model was visualized using a nomogram, and the nomogram was evaluated using calibration curves. In addition, the efficiency of the four models for prediction of risk of healthcare-seeking delay among imported malaria patients was evaluated using the area under curve (AUC) of receiver operating characteristic curve (ROC). The importance of each characteristic was quantified and attributed by using SHAP to examine the positive and negative effects of the value of each characteristic on the predictive efficiency. Results A total of 244 imported malaria patients were enrolled, including 100 cases (40.98%) with the duration from onset of first symptoms to time of initial diagnosis that exceeded 24 hours. Logistic regression analysis identified a history of malaria parasite infection [odds ratio (OR) = 3.075, 95% confidential interval (CI): (1.597, 5.923)], long incubation period [OR = 1.010, 95% CI: (1.001, 1.018)] and seeking healthcare in provincial or municipal medical facilities [OR = 12.550, 95% CI: (1.158, 135.963)] as risk factors for delay in seeking healthcare among imported malaria cases. BP neural network modeling showed that duration of residing abroad, incubation period and age posed great impacts on delay in healthcare-seek among imported malaria patients. Random forest modeling showed that the top five factors with the greatest impact on healthcare-seeking delay included main clinical manifestations, the way to go abroad, incubation period, duration of residing abroad and age among imported malaria patients, and Bayesian modeling revealed that the top five factors affecting healthcare-seeking delay among imported malaria patients included level of institutions at initial diagnosis, age, country of origin, history of malaria parasite infection and individuals travelling with imported malaria patients. ROC curve analysis showed higher overall performance of the BP neural network model and the logistic regression model for prediction of the risk of healthcare-seeking delay among imported malaria patients (Z = 2.700 to 4.641, all P values < 0.01), with no statistically significant difference in the AUC among four models (Z = 1.209, P > 0.05). The sensitivity (71.00%) and Youden index (43.92%) of the logistic regression model was higher than those of the BP neural network (63.00% and 36.61%, respectively), and the specificity of the BP neural network model (73.61%) was higher than that of the logistic regression model (72.92%). Conclusions Imported malaria cases with long duration of residing abroad, a history of malaria parasite infection, long incubation period, advanced age and seeking healthcare in provincial or municipal medical institutions have a high likelihood of delay in healthcare-seeking in Jiangsu Province. The models created based on the logistic regression and BP neural network show a high efficiency for prediction of the risk of healthcare-seeking among imported malaria patients in Jiangsu Province, which may provide insights into health management of imported malaria patients.

With the rapid aging of the global population posing a serious problem, frailty, a non-specific state that reflects physiological senescence rather than aging in time, has become more widely addressed by researchers in various medical fields. A high prevalence of frailty is found among kidney transplant (KT) candidates and recipients. Therefore, their frailty has become a research hotspot in the field of transplantation. However, current studies mainly focus on the cross-sectional survey of the incidence of frailty among KT candidates and recipients and the relationship between frailty and transplantation. Research on the pathogenesis and intervention is scattered, and relevant review literature is scarce. Exploring the pathogenesis of frailty in KT candidates and recipients and determining effective intervention measures may reduce waiting list mortality and improve the long-term quality of life of KT recipients. Therefore, this review explains the pathogenesis and intervention measures for frailty in KT candidates and recipients to provide a reference for the formulation of effective intervention strategies.
Humans ; Frailty/epidemiology* ; Risk Factors ; Quality of Life ; Kidney Failure, Chronic ; Kidney Transplantation/adverse effects* ; Cross-Sectional Studies ; Transplant Recipients

Objective:To investigate risk factors for decompressive craniectomy (DC) after endovascular therapy (EVT) in patients with acute anterior circulation ischemic stroke.Methods:Patients underwent EVT due to acute anterior circulation large vessel occlusion in Liaocheng Brain Hospital from January 2018 to January 2020 were retrospectively included. They were divided into DC group and non-DC group. Univariate and multivariate logistic regression analyses were used to determine risk factors for DC after EVT. Results:A total of 207 patients were enrolled, 126 were male (60.87%), and their age was 66.22±11.24 years old. The baseline National Institutes of Health Stroke Scale (NIHSS) score was 19.84±9.20, and the Alberta Stroke Program Early CT Score (ASPECTS) was 7.98±0.66. The immediate postoperative modified Treatment In Cerebral Ischemia (mTICI) blood flow grade in seven patients (5.80%) was ≤2a, 30 (14.49%) experienced hemorrhagic transformation (HT) after procedure, and 28 (13.5%) received DC. There were statistically significant differences between the DC group and the non-DC group in terms of past stroke history, preoperative NIHSS score and ASPECTS, vascular occlusion site, EVT time, immediate postoperative mTICI ≤2a, and HT (all P<0.05). Multivariate logistic regression analysis showed that atrial fibrillation (odds ratio [ OR] 3.202, 95% confidence interval [ CI] 1.335-9.796; P=0.011), previous stroke history ( OR 2.655, 95% CI 1.016-6.938; P=0.046), high preoperative NIHSS score ( OR 1.074, 95% CI 1.026-1.124; P=0.002), internal carotid artery occlusion ( OR 4.268, 95% CI 1.399-13.024; P=0.011), longer EVT time ( OR 1.010, 95% CI 1.003-1.016; P=0.003), mTICI grade ≤2a ( OR 5.342, 95% CI 1.565-18.227; P=0.007) and postoperative HT ( OR 3.036, 95% CI 1.024-9.004; P=0.045) were independent risk factors for DC. Conclusions:It is not uncommon for patients with acute anterior circulation ischemic stroke to need DC after EVT. Previous stroke history, atrial fibrillation, high baseline NIHSS score, internal carotid artery occlusion, prolonged blood EVT time, mTICI grade ≤2a and postoperative HT are independent predictors of needing DC after EVT.

OBJECTIVE: To explore the biomarkers of tinnitus in vestibular schwannoma patients using electroencephalographic (EEG) microstate technology. METHODS: The EEG and clinical data of 41 patients with vestibular schwannoma were collected. All the patients were evaluated by SAS, SDS, THI and VAS scales. The EEG acquisition time was 10-15 min, and the EEG data were preprocessed and analyzed using MATLAB and EEGLAB software package. RESULTS: Of the 41 patients with vestibular schwannoma, 29 patients had tinnitus and 12 did not have tinnitus, and their clinical parameters were comparable. The average global explanation variances of the non-tinnitus and tinnitus groups were 78.8% and 80.1%, respectively. The results of EEG microstate analysis showed that compared with those without tinnitus, the patients with tinnitus had an increased frequency (P=0.033) and contribution (P=0.028) of microstate C. Correlation analysis showed that THI scale scores of the patients were negatively correlated with the duration of microstate A (R=-0.435, P=0.018) and positively with the frequencies of microstate B (R=0.456, P=0.013) and microstate C (R=0.412, P=0.026). Syntax analysis showed that the probability of transition from microstate C to microstate B increased significantly in vestibular schwannoma patients with tinnitus (P=0.031). CONCLUSION EEG microstate features differ significantly between vestibular schwannoma patients with and without tinnitus. This abnormality in patients with tinnitus may reflect the potential abnormality in the allocation of neural resources and the transition of brain functional activity.
Humans ; Neuroma, Acoustic/complications* ; Electroencephalography ; Patients ; Probability

Objective:To explore the effects of mouth opening breathing for different reasons on children's maxillofacial development. Methods:One hundred and fifty-one children were selected as the research objects of this experiment. They were divided into 49 cases of adenoid hypertrophy group（group A）, 52 cases of tonsillar hypertrophy group（group B） and 50 cases of adenoid with tonsillar hypertrophy group（Group C）. Healthy children in the same period were selected as the control group, a total of 45 cases. The reflex nasopharyngeal measurement parameters, facial development indexes and cephalometric parameters of group A, group B, group C and control group were analyzed, and the incidence of Angle ClassⅡand Angle Class Ⅲ in group A, group B and group C were studied. Results:Compared with the control group, the reflex nasopharyngeal measurement parameters in group A, group B and group C was significantly different（P<0.05）, and the cephalometric parameters changed with variation in groups（P<0.05）. The incidence of Angle Class Ⅱ facial pattern in group A and group C was higher, but the incidence of Angle Class Ⅲ facial pattern in group B and group C was higher（P<0.05）. Conclusion:Adenoid hypertrophy leads to mandibular retraction; tonsil hypertrophy leads to anterior mandibular arch; adenoid hypertrophy and tonsil hypertrophy are easy to lead to clockwise rotation of the mandible. In clinical practice, to avoid children's uncoordinated maxillofacial development, we should correct the maxillofacial situation of children as soon as possible.
Child ; Humans ; Maxillofacial Development ; Malocclusion, Angle Class III/complications* ; Nasopharynx ; Adenoids ; Palatine Tonsil ; Mouth Breathing/etiology* ; Hypertrophy/complications* ; Mouth