AIM:To analyze the influencing factors of postoperative malignant glaucoma(MG)in patients with primary angle-closure glaucoma(PACG)using logistic regression and decision tree models.METHODS:A retrospective study was conducted on PACG patients who underwent surgery at Eye Hospital of Handan City from March 2020 to March 2025. Patients were divided into two groups: the MG group, who developed MG within 6 mo postoperatively, and the non-MG group. Data were collected from the electronic medical record system. Univariate analysis was performed, followed by multivariate logistic regression to identify independent risk factors. A classification and regression tree model was constructed to visualize the hierarchical relationships among predictors. The predictive performance of the two models was evaluated and compared using receiver operating characteristic(ROC)curve analysis.RESULTS:Totally 182 cases(182 eyes)with PACG were enrolled in this study, including 91 cases(91 eyes)in the MG group and 91 cases(91 eyes)in the non-MG group. In the MG group, there were 53 males and 38 females; 69 cases were aged ≥60 y and 22 cases were aged <60 y. In the non-MG group, there were 47 males and 44 females; 33 cases were aged ≥60 y and 58 cases were aged <60 y. The non-MG group comprised 91 patients, including 47 males and 44 females. Among them, 33 cases were aged ≥60 y, and 58 cases were aged<60 y. The MG group had significantly higher proportions of patients aged ≥60 y, diabetes, moderate-stage PACG, persistent high intraocular pressure(IOP), complete anterior chamber angle closure, lens thickness <4.5 mm, axial length <22 mm, and severe postoperative inflammation compared to the non-MG group(all P<0.01). Multivariate Logistic regression identified the following as independent influencing factors for postoperative MG: age [OR (95%CI)=2.136(1.401-3.255)], PACG stage [OR (95%CI)=2.996(2.044-4.391)], IOP [OR (95%CI)=3.527(1.604-7.755)],anterior chamber angle [OR (95%CI)=4.826(2.498-9.324)], axial length [OR (95%CI)=5.125(1.265-20.771)], and severe postoperative inflammation [OR (95%CI)=2.338(1.478-3.699)](all P<0.05). The decision tree model selected six explanatory variables: age, PACG stage, IOP, anterior chamber angle status, axial length, and severe postoperative inflammation. Axial length was the primary splitting factor at the root node. The areas under the ROC curve(AUC)for the logistic regression and decision tree models were 0.913(0.863-0.950)and 0.921(0.872-0.956), respectively, with no significant difference between them(Z=0.561, P=0.575).CONCLUSION:Both the logistic regression and decision tree models effectively identify key influencing factors for postoperative MG in PACG patients, including age, PACG stage, IOP, anterior chamber angle status, axial length, and severe postoperative inflammation. The decision tree model offers an intuitive, visual representation of risk stratification, facilitating clinical decision-making. Both models are applicable for clinical risk assessment.

Objective:To analyze the association between household and leisure-time physical activity (HLPA) and the risk of cardiometabolic multimorbidity (CMM) in the elderly.Methods:This retrospective cohort study utilized three longitudinal datasets from the Chinese Longitudinal Healthy Longevity and Happy Family Study (CLHLS-HF) covering 2008-2018, 2011-2018, and 2014-2018. A total of 10 876 participants aged ≥65 years who completed at least one follow-up were enrolled for cohort analysis. The general data, lifestyle, histories of chronic diseases, and physical examination results were collected. The HLPA score was utilized as an indicator to assess the degree of HLPA participation of the study subjects, the subjects were divided into 4 groups by quartile of HLPA score (Q1, Q2, Q3, and Q4), and were stratified jointly by sex, type of residence and household income; stratified Cox regression was applied to analyze the association between HLPA score and the risk of CMM morbidity, and Cox regression combined with restricted cubic spline (RCS) model was utilized to analyze the dose-response relationship between HLPA score and CMM morbidity.Results:The cohort was observed for a total of 51 630.24 person-years, with a median follow-up time of 3.95 (2.57, 6.04) years, with 576 new cases of CMM and an incidence density of 11.16 per 1 000 person-years. Compared with the HLPA score Q1 group, the risk of CMM morbidity was significantly reduced by 31%, 41%, and 44% in the elderly in the Q2 ( HR=0.69, 95% CI: 0.53-0.90), Q3 ( HR=0.59, 95% CI: 0.45-0.77) and Q4 ( HR=0.56, 95% CI: 0.42-0.74) groups, respectively (all P<0.05). The HLPA score was non-linearly associated with CMM morbidity ( P for nonlinear=0.010), with the risk of CMM morbidity decreasing with the increase of HLPA score, with a significant downward trend up to the median, after which the decline leveled off. There was an interaction between the HLPA score and exercise ( P for interaction=0.016); there was a negative association between the HLPA score and the risk of CMM morbidity in the no-exercise population ( HR=0.65, 95% CI: 0.52-0.80, P<0.001). Conclusion:There is a nonlinear negative association between HLPA and the risk CMM morbidity in elderly in China, and interventions focused on those who do not exercise may yield better results.

Objective:The transcriptome data was utilized to screen cuproptosis-related genes(CRGs)in oral squamous cell car-cinoma(OSCC),and the characteristic genes were identified for constructing a prognostic model for predicting patients'survival time.Methods:OSCC transcriptome gene expression and clinical data were obtained from TCGA and GEO.Through Lasso regres-sion analysis and Cox regression analysis,relevant prognostic genes were screened and prognostic models were constructed.Ac-cording to the median value of risk scores,patients were divided into high and low risk groups,and their survival rates were com-pared.Finally,the predictive performance of the model was verified.Results:In this study,9 characteristic genes with prognostic value(ENO2,P4HA1,SLC2A3,AQP1,PLS1,NXPH4,CTSG,TRAC,THBS1)were screened out and a 9-gene prognostic model was constructed.The survival rate of high-risk group based on prognostic model was significantly lower than that of low-risk group.The area under curve(AUC)of receiver operating characteristic curve(ROC)was 0.701,0.729 and 0.702 at 1 year,3 years and 5 years,respectively,which verifies that the risk model has good predictive performance.The nomogram predicted that the 1-year,3-year,and 5-year survival probabilities of OSCC patients are 89.6％,72.4％,and 63.9％respectively,and the cal-ibration curve confirmed the accuracy of the nomogram prediction.Conclusion:The 9-gene prognostic model based on CRGs screening could predict the prognosis of OSCC patients,which is helpful for clinical personalized treatment of OSCC patients and prediction of their survival rate.

Objective To develop a nomogram diagnostic model to differentiate peripheral small cell lung cancer(PSCLC)from peripheral lung adenocarcinoma(PADC)using clinical and multi spiral computed tomography features.Methods A retrospective analysis was conducted on the CT characteristics and clinical presentations of 50 PSCLC and 100 PADC.Univariate and multivariate logistic regression analyses were employed to identify significant features.A nomogram was constructed to quantify the influencing factors.The efficacy and clinical applicability of the model were assessed using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Smoking,neuron-specific enolase(NSE),smooth margin,spindle/branching shape,and lymphadenopathy were independent risk factors for PSCLC(P＜0.05),whereas rough margin and lobulation sign were independent risk factors for PADC(P＜0.05).The nomogram model demonstrated high diagnostic efficacy,and the calibration curve exhibited a good degree of calibration(Brier=0.079).The DCA indicated that the nomogram model possesses substantial clinical utility.Conclusion The nomogram model developed based on six indicators,including smoking,NSE≥17 ng/mL,margin characteristics,spindle/branching shape,lobulation sign,and lymphadenopathy can well distinguish PSCLC from PADC.

OBJECTIVES: To assess the effectiveness of the comparison between pit and fissure sealants and fluoride varnishes, as well as various types of sealants, in preventing caries on the occlusal surface of children's first permanent molars (FPM). METHODS: Conduct a comprehensive search of literature published between January 1, 1988, and May 30, 2024, in the following databases: China National Knowledge Infrastructure, Web of Science, Cochrane Library, Embase, PubMed, China Science Periodical Database and China Biology Medicine database. Meta-analysis and subgroup analyses were performed on the literature that met the inclusion criteria. RESULTS: A total of 5 618 pieces of literature were retrieved, resulting in the inclusion of 14 in the study. Meta-analysis showed that there was no statistically significant difference in the efficacy between varies pit and fissure sealants compared to fluoride varnishes, and between varies types of sealants in preventing caries on the occlusal surface of children's first permanent molars within 24 months post-surgery (P>0.05). CONCLUSIONS Within 24 months, there was no significant difference in the effectiveness of using resin-based or glass iomomer pit and fissure sealants compared with fluoride varnishes in preventing occlusal caries in FPM in children; within 24 months, there was no significant difference in the effectiveness of using resin-based sealants compared with ART sealants in preventing occlusal caries in FPM in children. ART sealants are recommended over resin-based sealers for children who have no conditions for chair-side manipulation or who are poorly co-operative.
Humans ; Pit and Fissure Sealants/therapeutic use* ; Dental Caries/prevention & control* ; Molar ; Child ; Fluorides, Topical/therapeutic use* ; Dentition, Permanent

Objective To summarize the clinicopathological characteristics,diagnostic and therapeutic process and aeromedical evaluation of 17 cases of thyroid cancer in Chinese military pilots in order to provide a reference for the diagnosis and treatment of disease and aeromedical evaluation of patients with thyroid cancer in military pilots in the future.Methods A retrospective analysis was conducted on the clinicopathological characteristics,treatment methods and aerospace medical evaluation conclusions of 17 military pilots with thyroid cancer who were hospitalized and underwent diagnosis,treatment and aeromedical evaluation at the Department of Aviation Medicine of Xijing Hospital from March 2021 to March 2025.Results All 17 pilots with thyroid cancer were male,and the age of onset ranged from 22 to 51 years old(with a median age of 40 years old).All patients underwent fine-needle aspiration biopsy of thyroid nodules or enlarged cervical lymph nodes before the operation.The postoperative pathological types were all papillary thyroid carcinoma.Among them,16 cases were papillary thyroid microcarcinoma,9 cases were combined with regional lymph node metastasis,and 1 case with postoperative complications of Horner's syndrome recovered after treatmentwas.14 patients underwent unilateral glandular lobe and isthectomy of the thyroid,3 patients underwent total/near-total thyroidectomy,2 patients received radioactive 131I treatment after the operation,and 17 patients received thyroid stimulating hormone(TSH)suppression therapy after the operation.After aerospace medical evaluation,15 cases were qualified for flight duties,the observation time was 3 to 6 months(with an average observation time of 4.2 months),1 case reached the age limit,and 1 case was temporarily unqualified for failure to achieve TSH suppression.After 0.5 to 4.0 years of follow-up,no patient showed signs of recurrence or metastasis.Conclusion For thyroid cancer in military pilots,universal screeningprotocols and earlydetection,as well as standardized therapeutic regimensshould be carried out.Evidence-based aeromedical evaluations and long-term monitoring should be conducted based on the aircraft type,jobs,and flight experience to preserve military combat effectiveness to the greatest extent.

Objective:To analyze the association between household and leisure-time physical activity (HLPA) and the risk of cardiometabolic multimorbidity (CMM) in the elderly.Methods:This retrospective cohort study utilized three longitudinal datasets from the Chinese Longitudinal Healthy Longevity and Happy Family Study (CLHLS-HF) covering 2008-2018, 2011-2018, and 2014-2018. A total of 10 876 participants aged ≥65 years who completed at least one follow-up were enrolled for cohort analysis. The general data, lifestyle, histories of chronic diseases, and physical examination results were collected. The HLPA score was utilized as an indicator to assess the degree of HLPA participation of the study subjects, the subjects were divided into 4 groups by quartile of HLPA score (Q1, Q2, Q3, and Q4), and were stratified jointly by sex, type of residence and household income; stratified Cox regression was applied to analyze the association between HLPA score and the risk of CMM morbidity, and Cox regression combined with restricted cubic spline (RCS) model was utilized to analyze the dose-response relationship between HLPA score and CMM morbidity.Results:The cohort was observed for a total of 51 630.24 person-years, with a median follow-up time of 3.95 (2.57, 6.04) years, with 576 new cases of CMM and an incidence density of 11.16 per 1 000 person-years. Compared with the HLPA score Q1 group, the risk of CMM morbidity was significantly reduced by 31%, 41%, and 44% in the elderly in the Q2 ( HR=0.69, 95% CI: 0.53-0.90), Q3 ( HR=0.59, 95% CI: 0.45-0.77) and Q4 ( HR=0.56, 95% CI: 0.42-0.74) groups, respectively (all P<0.05). The HLPA score was non-linearly associated with CMM morbidity ( P for nonlinear=0.010), with the risk of CMM morbidity decreasing with the increase of HLPA score, with a significant downward trend up to the median, after which the decline leveled off. There was an interaction between the HLPA score and exercise ( P for interaction=0.016); there was a negative association between the HLPA score and the risk of CMM morbidity in the no-exercise population ( HR=0.65, 95% CI: 0.52-0.80, P<0.001). Conclusion:There is a nonlinear negative association between HLPA and the risk CMM morbidity in elderly in China, and interventions focused on those who do not exercise may yield better results.

Objective:The transcriptome data was utilized to screen cuproptosis-related genes(CRGs)in oral squamous cell car-cinoma(OSCC),and the characteristic genes were identified for constructing a prognostic model for predicting patients'survival time.Methods:OSCC transcriptome gene expression and clinical data were obtained from TCGA and GEO.Through Lasso regres-sion analysis and Cox regression analysis,relevant prognostic genes were screened and prognostic models were constructed.Ac-cording to the median value of risk scores,patients were divided into high and low risk groups,and their survival rates were com-pared.Finally,the predictive performance of the model was verified.Results:In this study,9 characteristic genes with prognostic value(ENO2,P4HA1,SLC2A3,AQP1,PLS1,NXPH4,CTSG,TRAC,THBS1)were screened out and a 9-gene prognostic model was constructed.The survival rate of high-risk group based on prognostic model was significantly lower than that of low-risk group.The area under curve(AUC)of receiver operating characteristic curve(ROC)was 0.701,0.729 and 0.702 at 1 year,3 years and 5 years,respectively,which verifies that the risk model has good predictive performance.The nomogram predicted that the 1-year,3-year,and 5-year survival probabilities of OSCC patients are 89.6％,72.4％,and 63.9％respectively,and the cal-ibration curve confirmed the accuracy of the nomogram prediction.Conclusion:The 9-gene prognostic model based on CRGs screening could predict the prognosis of OSCC patients,which is helpful for clinical personalized treatment of OSCC patients and prediction of their survival rate.

Objective To develop a nomogram diagnostic model to differentiate peripheral small cell lung cancer(PSCLC)from peripheral lung adenocarcinoma(PADC)using clinical and multi spiral computed tomography features.Methods A retrospective analysis was conducted on the CT characteristics and clinical presentations of 50 PSCLC and 100 PADC.Univariate and multivariate logistic regression analyses were employed to identify significant features.A nomogram was constructed to quantify the influencing factors.The efficacy and clinical applicability of the model were assessed using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Smoking,neuron-specific enolase(NSE),smooth margin,spindle/branching shape,and lymphadenopathy were independent risk factors for PSCLC(P＜0.05),whereas rough margin and lobulation sign were independent risk factors for PADC(P＜0.05).The nomogram model demonstrated high diagnostic efficacy,and the calibration curve exhibited a good degree of calibration(Brier=0.079).The DCA indicated that the nomogram model possesses substantial clinical utility.Conclusion The nomogram model developed based on six indicators,including smoking,NSE≥17 ng/mL,margin characteristics,spindle/branching shape,lobulation sign,and lymphadenopathy can well distinguish PSCLC from PADC.

Objective To explore the biomechanical mechanism of pseudoaneurysm formation at the anastomotic site of vascular patch and the inhibitory effect of transforming growth factor(TGF β1)hydrogel on aneurysm.Methods The vascular patch model and the pseudoaneurysm model were constructed separately,and the two-way fluid-structure interaction method was used to numerically simulate the blood-vessel wall dynamic response at the anastomosis.Based on the analysis of mechanical parameters such as postoperative blood velocity,vessel wall shear stress and aneurysm wall displacement,the mechanisms of postoperative pseudoaneurysm formation and inhibition were studied.Results The numerical simulation results showed that the wall shear stress increased when the blood flowed through the front end of the patch.When the pseudoaneurysm has been formed after surgery,the aneurysm wall became significantly thicker following the injection of TGF β1 hydrogel into the aneurysmal wall,and the intratumoral shear stress and the aneurysmal wall displacement were decreased.Conclusion Pseudoaneurysms are easy to form at the front end of the anastomosis after surgery,and the injection of TGF β1 hydrogel into the aneurysm wall can effectively inhibit the formation and progression of pseudoaneurysm.The numerical simulation study provides a numerical basis for the mechanical mechanism study of the formation and progression of pseudoaneurysm after patch angioplasty.